Health Insight Survey dashboard

Plotly = {
  const mod = await require("plotly.js-dist-min@2.35.3");
  return mod;
}

import { Inputs } from "@observablehq/inputs"

import { ColorLegendChart } from "./Filter_chart_functions.js"
import { SubPlotChart } from "./Filter_chart_functions.js"
import { CrosstabChart } from "./Filter_chart_functions.js"
import { SubCrosstabChart } from "./Filter_chart_functions.js"

GP access

Click here to view a list of questions

Q2: In the last 28 days, have you tried to contact your GP practice for yourself or someone else in your household?
Q3: Thinking of the last time you tried to contact your GP practice, who was it for?
Q47: What was your main reason for trying to contact your GP practice?
Q4: Thinking of the last time you tried to contact your GP practice, did you manage to make contact with them?
Q5: Thinking of the last time you contacted your GP practice, how did you make contact?
Q6: How easy or difficult was it to make contact with your GP practice?
Q7: What did you do when you could not make contact with your GP practice?
Q8: Thinking of the last time you contacted your GP practice, how soon after that contact did you know how your request would be dealt with?
Q9: Thinking of the last time you made contact with your GP practice, what did you understand the next step would be? What did your GP practice ask you to do?
Q41: Were you asked if you wanted a face-to-face appointment?
Q11: Thinking of the appointment or call back you were given by your GP practice, when was it booked for?
Q13: Considering the nature of your request, how reasonable or unreasonable was the waiting time between your request and your call back or appointment?
Q14: Overall, how would you describe your experience of your GP practice?
Q15: Overall, how would you describe your experience of your GP practice? (For those with a long-term health condition)
Q16: Over the last 12 months, how do you think the service provided by your GP practice has changed?

Click here to view the data used in this dashboard

Q2

In the last 28 days, have you tried to contact your GP practice for yourself or someone else in your household? This could be in person, on the phone or online. Include contact that was made for appointments, prescriptions, and other requests.

This question was asked to: All respondents

q2sexjson = JSON.parse(document.getElementById("q2sex").textContent);

// Dropdown cell with everything inside
viewof q2wave = {
  // Extract waves from data
  const q2waves = [...new Set(q2sexjson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q2waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q2currentwave = q2waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q2waves, {
    label: "Select a wave",
    value: q2currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

Sex

{
  const defaultColors = ["#4e79a7", "#f28e2b", "#e15759", "#76b7b2", "#59a14f", "#edc949"];

  ColorLegendChart(Plotly, { jsonId: "q2sex", containerId: "q2-sex-plot", noteId: "q2-sex-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2age", containerId: "q2-age-plot", noteId: "q2-age-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2group", containerId: "q2-group-plot", noteId: "q2-group-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2imd", containerId: "q2-imd-plot", noteId: "q2-imd-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2health", containerId: "q2-health-plot", noteId: "q2-health-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2rural", containerId: "q2-rural-plot", noteId: "q2-rural-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2region", containerId: "q2-region-plot", noteId: "q2-region-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2icbE", containerId: "q2-icbE-plot", noteId: "q2-icbE-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2icbL", containerId: "q2-icbL-plot", noteId: "q2-icbL-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2icbM", containerId: "q2-icbM-plot", noteId: "q2-icbM-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2icbNEY", containerId: "q2-icbNEY-plot", noteId: "q2-icbNEY-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2icbNW", containerId: "q2-icbNW-plot", noteId: "q2-icbNW-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2icbSE", containerId: "q2-icbSE-plot", noteId: "q2-icbSE-note", wave: q2wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q2icbSW", containerId: "q2-icbSW-plot", noteId: "q2-icbSW-note", wave: q2wave, defaultColors });
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Age group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Ethnic group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

IMD

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Long-term health

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Rural/urban

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Region

NHS regions

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

NE & Yorks

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

North West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Midlands

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

London

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q3

Thinking of the last time you tried to contact your GP practice, who was it for?

This question was asked to: Respondents who tried to contact their GP practice in the last 28 days

q3sexjson = JSON.parse(document.getElementById("q3sex").textContent);

// Dropdown cell with everything inside
viewof q3wave = {
  // Extract waves from data
  const q3waves = [...new Set(q3sexjson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q3waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q3currentwave = q3waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q3waves, {
    label: "Select a wave",
    value: q3currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

Sex

{
  const defaultColors = ["#4e79a7", "#f28e2b", "#e15759", "#76b7b2", "#59a14f", "#edc949"];

  ColorLegendChart(Plotly, { jsonId: "q3sex", containerId: "q3-sex-plot", noteId: "q3-sex-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3age", containerId: "q3-age-plot", noteId: "q3-age-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3group", containerId: "q3-group-plot", noteId: "q3-group-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3imd", containerId: "q3-imd-plot", noteId: "q3-imd-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3health", containerId: "q3-health-plot", noteId: "q3-health-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3rural", containerId: "q3-rural-plot", noteId: "q3-rural-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3region", containerId: "q3-region-plot", noteId: "q3-region-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3icbE", containerId: "q3-icbE-plot", noteId: "q3-icbE-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3icbL", containerId: "q3-icbL-plot", noteId: "q3-icbL-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3icbM", containerId: "q3-icbM-plot", noteId: "q3-icbM-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3icbNEY", containerId: "q3-icbNEY-plot", noteId: "q3-icbNEY-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3icbNW", containerId: "q3-icbNW-plot", noteId: "q3-icbNW-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3icbSE", containerId: "q3-icbSE-plot", noteId: "q3-icbSE-note", wave: q3wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q3icbSW", containerId: "q3-icbSW-plot", noteId: "q3-icbSW-note", wave: q3wave, defaultColors
  });
  
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Age group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Ethnic group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

IMD

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Long-term health

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Rural/urban

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Region

NHS regions

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

NE & Yorks

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

North West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Midlands

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

London

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q47

What was your main reason for trying to contact your GP practice?

This question was asked to: Respondents who tried to contact their GP practice in the last 28 days

Data for this question have not been visualised by demographic breakdown. This is due to there being too many variables to be able to concisely visualise the data. However, these estimates are available in our data tables.

q47alljson = JSON.parse(document.getElementById("q47all").textContent);

// Dropdown cell with everything inside
viewof q47wave = {
  // Extract waves from data
  const q47waves = [...new Set(q47alljson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q47waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q47currentwave = q47waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q47waves, {
    label: "Select a wave",
    value: q47currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

{
  SubCrosstabChart(Plotly, { jsonId: "q47all", y_gap: 0.3, dem_lab: 1.2, containerId: "q47-all-plot", noteId: "q47-all-note", wave: q47wave, ylab: "Contact method", leglab: "Reason for trying to contact GP (by contact method)" });
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q4

Thinking of the last time you tried to contact your GP practice, did you manage to make contact with them?   This could be in person, on the phone or online.   

This question was asked to: Respondents who tried to contact their GP practice in the last 28 days

q4sexjson = JSON.parse(document.getElementById("q4sex").textContent);

// Dropdown cell with everything inside
viewof q4wave = {
  // Extract waves from data
  const q4waves = [...new Set(q4sexjson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q4waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q4currentwave = q4waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q4waves, {
    label: "Select a wave",
    value: q4currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

Sex

{
  const defaultColors = ["#4e79a7", "#f28e2b", "#e15759", "#76b7b2", "#59a14f", "#edc949"];

  SubPlotChart(Plotly, { jsonId: "q4sex", y_gap: 0, dem_lab: 1.1, containerId: "q4-sex-plot", noteId: "q4-sex-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4age", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-age-plot", noteId: "q4-age-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4group", y_gap: 0.27, dem_lab: 1.2, containerId: "q4-group-plot", noteId: "q4-group-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4imd", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-imd-plot", noteId: "q4-imd-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4health", y_gap: 0.35, dem_lab: 1.3, containerId: "q4-health-plot", noteId: "q4-health-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4rural", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-rural-plot", noteId: "q4-rural-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4region", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-region-plot", noteId: "q4-region-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4icbE", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-icbE-plot", noteId: "q4-icbE-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4icbL", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-icbL-plot", noteId: "q4-icbL-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4icbM", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-icbM-plot", noteId: "q4-icbM-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4icbNEY", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-icbNEY-plot", noteId: "q4-icbNEY-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4icbNW", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-icbNW-plot", noteId: "q4-icbNW-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4icbSE", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-icbSE-plot", noteId: "q4-icbSE-note", wave: q4wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q4icbSW", y_gap: 0.21, dem_lab: 1.11, containerId: "q4-icbSW-plot", noteId: "q4-icbSW-note", wave: q4wave, defaultColors
  });
  
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Age group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Ethnic group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

IMD

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Long-term health

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Rural/urban

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Region

NHS regions

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

NE & Yorks

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

North West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Midlands

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

London

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q5

This question was asked to: Respondents who successfully made contact with their GP practice in the last 28 days

Data for this question have not been visualised by demographic breakdown. This is due to there being too many variables to be able to concisely visualise the data. However, these estimates are available in our data tables.

q5alljson = JSON.parse(document.getElementById("q5all").textContent);

// Dropdown cell with everything inside
viewof q5wave = {
  // Extract waves from data
  const q5waves = [...new Set(q5alljson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q5waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q5currentwave = q5waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q5waves, {
    label: "Select a wave",
    value: q5currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

{
  SubCrosstabChart(Plotly, { jsonId: "q5all", y_gap: 0.3, dem_lab: 1.2, containerId: "q5-all-plot", noteId: "q5-all-note", wave: q5wave, ylab: "Contact method", leglab: "Reason for trying to contact GP (by contact method)" });
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q6

How easy or difficult was it to make contact with your GP practice?  

This question was asked to: Respondents who successfully made contact with their GP practice in the last 28 days

Data for this question have not been visualised by demographic breakdown. This is due to there being too many variables to be able to concisely visualise the data. However, these estimates are available in our data tables.

q6alljson = JSON.parse(document.getElementById("q6all").textContent);

// Dropdown cell with everything inside
viewof q6wave = {
  // Extract waves from data
  const q6waves = [...new Set(q6alljson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q6waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q6currentwave = q6waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q6waves, {
    label: "Select a wave",
    value: q6currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

{
  CrosstabChart(Plotly, { jsonId: "q6all", containerId: "q6-all-plot", noteId: "q6-all-note", wave: q6wave, ylab: "Contact method", leglab: "Ease of contact" });
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q7

What did you do when you could not make contact with your GP practice?

This question was asked to: Respondents who did not manage to make contact with their GP practice

q7sexjson = JSON.parse(document.getElementById("q7sex").textContent);

// Dropdown cell with everything inside
viewof q7wave = {
  // Extract waves from data
  const q7waves = [...new Set(q7sexjson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q7waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q7currentwave = q7waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q7waves, {
    label: "Select a wave",
    value: q7currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

Sex

{
  const defaultColors = ["#4e79a7", "#f28e2b", "#e15759", "#76b7b2", "#59a14f", "#edc949"];

  SubPlotChart(Plotly, { jsonId: "q7sex", y_gap: 0, dem_lab: 1.1, containerId: "q7-sex-plot", noteId: "q7-sex-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7age", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-age-plot", noteId: "q7-age-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7group", y_gap: 0.27, dem_lab: 1.2, containerId: "q7-group-plot", noteId: "q7-group-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7imd", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-imd-plot", noteId: "q7-imd-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7health", y_gap: 0.35, dem_lab: 1.3, containerId: "q7-health-plot", noteId: "q7-health-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7rural", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-rural-plot", noteId: "q7-rural-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7region", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-region-plot", noteId: "q7-region-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7icbE", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-icbE-plot", noteId: "q7-icbE-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7icbL", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-icbL-plot", noteId: "q7-icbL-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7icbM", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-icbM-plot", noteId: "q7-icbM-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7icbNEY", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-icbNEY-plot", noteId: "q7-icbNEY-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7icbNW", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-icbNW-plot", noteId: "q7-icbNW-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7icbSE", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-icbSE-plot", noteId: "q7-icbSE-note", wave: q7wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q7icbSW", y_gap: 0.21, dem_lab: 1.11, containerId: "q7-icbSW-plot", noteId: "q7-icbSW-note", wave: q7wave, defaultColors
  });
  
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Age group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Ethnic group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

IMD

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Long-term health

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Rural/urban

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Region

NHS regions

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

NE & Yorks

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

North West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Midlands

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

London

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q8

Thinking of the last time you contacted your GP practice, how soon after that contact did you know how your request would be dealt with? This could be advice given on the day or the scheduling of a call back or appointment.

This question was asked to: Respondents who successfully made contact with their GP practice in the last 28 days

Data for this question have not been visualised by demographic breakdown. This is due to there being too many variables to be able to concisely visualise the data. However, these estimates are available in our data tables.

q8alljson = JSON.parse(document.getElementById("q8all").textContent);

// Dropdown cell with everything inside
viewof q8wave = {
  // Extract waves from data
  const q8waves = [...new Set(q8alljson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q8waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q8currentwave = q8waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q8waves, {
    label: "Select a wave",
    value: q8currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

{
  CrosstabChart(Plotly, { jsonId: "q8all", containerId: "q8-all-plot", noteId: "q8-all-note", wave: q8wave, ylab: "Contact method", leglab: "When request would be dealt with" });
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q9

Thinking of the last time you made contact with your GP practice, what did you understand the next step would be? What did your GP practice ask you to do?

This question was asked to: Respondents who successfully made contact with their GP practice in the last 28 days

q9sexjson = JSON.parse(document.getElementById("q9sex").textContent);

// Dropdown cell with everything inside
viewof q9wave = {
  // Extract waves from data
  const q9waves = [...new Set(q9sexjson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q9waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q9currentwave = q9waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q9waves, {
    label: "Select a wave",
    value: q9currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

Sex

{
  const defaultColors = ["#4e79a7", "#f28e2b", "#e15759", "#76b7b2", "#59a14f", "#edc949"];

  SubPlotChart(Plotly, { jsonId: "q9sex", y_gap: 0, dem_lab: 1.1, containerId: "q9-sex-plot", noteId: "q9-sex-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9age", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-age-plot", noteId: "q9-age-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9group", y_gap: 0.27, dem_lab: 1.2, containerId: "q9-group-plot", noteId: "q9-group-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9imd", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-imd-plot", noteId: "q9-imd-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9health", y_gap: 0.35, dem_lab: 1.3, containerId: "q9-health-plot", noteId: "q9-health-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9rural", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-rural-plot", noteId: "q9-rural-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9region", y_gap: 0.35, dem_lab: 1.3, containerId: "q9-region-plot", noteId: "q9-region-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9icbE", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-icbE-plot", noteId: "q9-icbE-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9icbL", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-icbL-plot", noteId: "q9-icbL-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9icbM", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-icbM-plot", noteId: "q9-icbM-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9icbNEY", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-icbNEY-plot", noteId: "q9-icbNEY-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9icbNW", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-icbNW-plot", noteId: "q9-icbNW-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9icbSE", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-icbSE-plot", noteId: "q9-icbSE-note", wave: q9wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q9icbSW", y_gap: 0.21, dem_lab: 1.11, containerId: "q9-icbSW-plot", noteId: "q9-icbSW-note", wave: q9wave, defaultColors
  });
  
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Age group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Ethnic group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

IMD

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Long-term health

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Rural/urban

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Region

NHS regions

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

NE & Yorks

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

North West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Midlands

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

London

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q41

Were you asked if you wanted a face-to-face appointment?

This question was asked to: Respondents who were given a face-to-face appointment, a video call appointment or a call-back appointment

q41sexjson = JSON.parse(document.getElementById("q41sex").textContent);

// Dropdown cell with everything inside
viewof q41wave = {
  // Extract waves from data
  const q41waves = [...new Set(q41sexjson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q41waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q41currentwave = q41waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q41waves, {
    label: "Select a wave",
    value: q41currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

Sex

{
  const defaultColors = ["#4e79a7", "#f28e2b", "#e15759", "#76b7b2", "#59a14f", "#edc949"];

  SubPlotChart(Plotly, { jsonId: "q41sex", y_gap: 0, dem_lab: 1.1, containerId: "q41-sex-plot", noteId: "q41-sex-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41age", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-age-plot", noteId: "q41-age-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41group", y_gap: 0.27, dem_lab: 1.2, containerId: "q41-group-plot", noteId: "q41-group-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41imd", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-imd-plot", noteId: "q41-imd-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41health", y_gap: 0.35, dem_lab: 1.3, containerId: "q41-health-plot", noteId: "q41-health-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41rural", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-rural-plot", noteId: "q41-rural-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41region", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-region-plot", noteId: "q41-region-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41icbE", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-icbE-plot", noteId: "q41-icbE-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41icbL", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-icbL-plot", noteId: "q41-icbL-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41icbM", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-icbM-plot", noteId: "q41-icbM-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41icbNEY", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-icbNEY-plot", noteId: "q41-icbNEY-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41icbNW", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-icbNW-plot", noteId: "q41-icbNW-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41icbSE", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-icbSE-plot", noteId: "q41-icbSE-note", wave: q41wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q41icbSW", y_gap: 0.21, dem_lab: 1.11, containerId: "q41-icbSW-plot", noteId: "q41-icbSW-note", wave: q41wave, defaultColors
  });
  
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Age group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Ethnic group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

IMD

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Long-term health

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Rural/urban

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Region

NHS regions

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

NE & Yorks

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

North West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Midlands

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

London

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q11

Thinking of the appointment or call back you were given by your GP practice, when was it booked for?

This question was asked to: Respondents who were given a face-to-face appointment, a video call appointment or a call-back appointment

q11sexjson = JSON.parse(document.getElementById("q11sex").textContent);

// Dropdown cell with everything inside
viewof q11wave = {
  // Extract waves from data
  const q11waves = [...new Set(q11sexjson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q11waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q11currentwave = q11waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q11waves, {
    label: "Select a wave",
    value: q11currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

Sex

{
  const defaultColors = ["#4e79a7", "#f28e2b", "#e15759", "#76b7b2", "#59a14f", "#edc949"];

  SubPlotChart(Plotly, { jsonId: "q11sex", y_gap: 0, dem_lab: 1.1, containerId: "q11-sex-plot", noteId: "q11-sex-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11age", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-age-plot", noteId: "q11-age-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11group", y_gap: 0.27, dem_lab: 1.2, containerId: "q11-group-plot", noteId: "q11-group-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11imd", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-imd-plot", noteId: "q11-imd-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11health", y_gap: 0.35, dem_lab: 1.3, containerId: "q11-health-plot", noteId: "q11-health-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11rural", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-rural-plot", noteId: "q11-rural-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11region", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-region-plot", noteId: "q11-region-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11icbE", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-icbE-plot", noteId: "q11-icbE-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11icbL", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-icbL-plot", noteId: "q11-icbL-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11icbM", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-icbM-plot", noteId: "q11-icbM-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11icbNEY", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-icbNEY-plot", noteId: "q11-icbNEY-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11icbNW", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-icbNW-plot", noteId: "q11-icbNW-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11icbSE", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-icbSE-plot", noteId: "q11-icbSE-note", wave: q11wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q11icbSW", y_gap: 0.21, dem_lab: 1.11, containerId: "q11-icbSW-plot", noteId: "q11-icbSW-note", wave: q11wave, defaultColors
  });
  
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Age group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Ethnic group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

IMD

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Long-term health

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Rural/urban

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Region

NHS regions

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

NE & Yorks

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

North West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Midlands

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

London

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q13

Considering the nature of your request, how reasonable or unreasonable was the waiting time between your request and your call back or appointment?

This question was asked to: Respondents who were given a face-to-face appointment, a video call appointment or a call-back appointment

Data for this question have not been visualised by demographic breakdown. This is due to there being too many variables to be able to concisely visualise the data. However, these estimates are available in our data tables.

q13alljson = JSON.parse(document.getElementById("q13all").textContent);

// Dropdown cell with everything inside
viewof q13wave = {
  // Extract waves from data
  const q13waves = [...new Set(q13alljson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q13waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q13currentwave = q13waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q13waves, {
    label: "Select a wave",
    value: q13currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

{
  CrosstabChart(Plotly, { jsonId: "q13all", containerId: "q13-all-plot", noteId: "q13-all-note", wave: q13wave, ylab: "Appointment timing", leglab: "How reasonable was waiting time?" });
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q14

Overall, how would you describe your experience of your GP practice?

This question was asked to: Respondents who tried to contact their GP practice in the last 28 days

q14sexjson = JSON.parse(document.getElementById("q14sex").textContent);

// Dropdown cell with everything inside
viewof q14wave = {
  // Extract waves from data
  const q14waves = [...new Set(q14sexjson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q14waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q14currentwave = q14waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q14waves, {
    label: "Select a wave",
    value: q14currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

Sex

{
  const defaultColors = ["#F66068", "#bcbcbd", "#206095"];

  ColorLegendChart(Plotly, { jsonId: "q14sex", containerId: "q14-sex-plot", noteId: "q14-sex-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14age", containerId: "q14-age-plot", noteId: "q14-age-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14group", containerId: "q14-group-plot", noteId: "q14-group-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14imd", containerId: "q14-imd-plot", noteId: "q14-imd-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14health", containerId: "q14-health-plot", noteId: "q14-health-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14rural", containerId: "q14-rural-plot", noteId: "q14-rural-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14region", containerId: "q14-region-plot", noteId: "q14-region-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14icbE", containerId: "q14-icbE-plot", noteId: "q14-icbE-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14icbL", containerId: "q14-icbL-plot", noteId: "q14-icbL-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14icbM", containerId: "q14-icbM-plot", noteId: "q14-icbM-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14icbNEY", containerId: "q14-icbNEY-plot", noteId: "q14-icbNEY-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14icbNW", containerId: "q14-icbNW-plot", noteId: "q14-icbNW-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14icbSE", containerId: "q14-icbSE-plot", noteId: "q14-icbSE-note", wave: q14wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q14icbSW", containerId: "q14-icbSW-plot", noteId: "q14-icbSW-note", wave: q14wave, defaultColors
  });
  
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Age group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Ethnic group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

IMD

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Long-term health

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Rural/urban

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Region

NHS regions

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

NE & Yorks

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

North West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Midlands

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

London

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q15

Overall, how would you describe your experience of your GP practice? (For those with a long-term health condition)

This question was asked to: Respondents who tried to contact their GP practice in the last 28 days and who have a long term health condition or illness

Data for this question have not been visualised by demographic breakdown. This is due to there being too many variables to be able to concisely visualise the data. However, these estimates are available in our data tables.

q15alljson = JSON.parse(document.getElementById("q15all").textContent);

// Dropdown cell with everything inside
viewof q15wave = {
  // Extract waves from data
  const q15waves = [...new Set(q15alljson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q15waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q15currentwave = q15waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q15waves, {
    label: "Select a wave",
    value: q15currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

{
  CrosstabChart(Plotly, { jsonId: "q15all", containerId: "q15-all-plot", noteId: "q15-all-note", wave: q15wave, ylab: "Confidence managing condition", leglab: "Overall experience of GP practice" });
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Q16

Over the last 12 months, how do you think the service provided by your GP practice has changed?

This question was asked to: All respondents

q16sexjson = JSON.parse(document.getElementById("q16sex").textContent);

// Dropdown cell with everything inside
viewof q16wave = {
  // Extract waves from data
  const q16waves = [...new Set(q16sexjson.data.map(d => d.wave))];

  // Helper: extract numeric part from first two characters
  const extractNumber = wave => parseInt(wave.slice(0, 2).trim(), 10);

  // Sort waves by numeric part
  q16waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q16currentwave = q16waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q16waves, {
    label: "Select a wave",
    value: q16currentwave
  });
}

Changes over time should be interpreted with caution, particularly as new participants were added to the survey in Waves 14 and 17. Data should be examined over multiple time points to determine if a real trend exists.

Sex

{
  const defaultColors = ["#4e79a7", "#f28e2b", "#e15759", "#76b7b2", "#59a14f", "#edc949"];

  SubPlotChart(Plotly, { jsonId: "q16sex", y_gap: 0, dem_lab: 1.1, containerId: "q16-sex-plot", noteId: "q16-sex-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16age", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-age-plot", noteId: "q16-age-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16group", y_gap: 0.27, dem_lab: 1.2, containerId: "q16-group-plot", noteId: "q16-group-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16imd", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-imd-plot", noteId: "q16-imd-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16health", y_gap: 0.35, dem_lab: 1.3, containerId: "q16-health-plot", noteId: "q16-health-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16rural", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-rural-plot", noteId: "q16-rural-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16region", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-region-plot", noteId: "q16-region-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16icbE", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-icbE-plot", noteId: "q16-icbE-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16icbL", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-icbL-plot", noteId: "q16-icbL-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16icbM", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-icbM-plot", noteId: "q16-icbM-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16icbNEY", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-icbNEY-plot", noteId: "q16-icbNEY-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16icbNW", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-icbNW-plot", noteId: "q16-icbNW-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16icbSE", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-icbSE-plot", noteId: "q16-icbSE-note", wave: q16wave, defaultColors });
  SubPlotChart(Plotly, { jsonId: "q16icbSW", y_gap: 0.21, dem_lab: 1.11, containerId: "q16-icbSW-plot", noteId: "q16-icbSW-note", wave: q16wave, defaultColors
  });
  
}

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Age group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Ethnic group

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

IMD

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Long-term health

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Rural/urban

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Region

NHS regions

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

NE & Yorks

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

North West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

Midlands

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

London

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South East

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.

South West

The 95% confidence intervals (CIs) displayed on our charts are a measure of the uncertainty around a specific estimate. If a CI is calculated at the 95% level, it is expected that the interval will contain the true value on 95 occasions, if repeated 100 times.