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"

Overall experience

Click here to view a list of questions

Q68: Overall, how would you rate the coordination of your care across the NHS?

Click here to view the data used in this dashboard

Q68

Overall, how would you rate the coordination of your care across the NHS? For example, your healthcare professionals communicating with each other or sharing your information between different parts of the NHS.

This question was asked to respondents who:
- Tried to contact their GP practice for themself or someone else in the last 28 days and/or
- were referred by their GP practice to see a specialist in the last 28 days and/or
- are on an NHS hospital waiting list and/or
- are waiting to receive care, treatment or advice from an NHS community health service? and/or
- had an appointment with one of the NHS community health services in the last 28 days and/or
- had an NHS dental appointment less than one month ago and/or
- were successful in making an NHS dental appointment (who did not have a dentist and who tried to access NHS dental care less than one month ago).

q68sexjson = JSON.parse(document.getElementById("q68sex").textContent);

// Dropdown cell with everything inside
viewof q68wave = {
  // Extract waves from data
  const q68waves = [...new Set(q68sexjson.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
  q68waves.sort((a, b) => extractNumber(a) - extractNumber(b));

  // Find wave with maximum numeric part
  const q68currentwave = q68waves.reduce((maxWave, wave) =>
    extractNumber(wave) > extractNumber(maxWave) ? wave : maxWave
  );

  // Return the dropdown input
  return Inputs.select(q68waves, {
    label: "Select a wave",
    value: q68currentwave
  });
}

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: "q68sex", containerId: "q68-sex-plot", noteId: "q68-sex-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68age", containerId: "q68-age-plot", noteId: "q68-age-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68group", containerId: "q68-group-plot", noteId: "q68-group-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68imd", containerId: "q68-imd-plot", noteId: "q68-imd-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68health", containerId: "q68-health-plot", noteId: "q68-health-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68rural", containerId: "q68-rural-plot", noteId: "q68-rural-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68region", containerId: "q68-region-plot", noteId: "q68-region-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68icbE", containerId: "q68-icbE-plot", noteId: "q68-icbE-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68icbL", containerId: "q68-icbL-plot", noteId: "q68-icbL-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68icbM", containerId: "q68-icbM-plot", noteId: "q68-icbM-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68icbNEY", containerId: "q68-icbNEY-plot", noteId: "q68-icbNEY-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68icbNW", containerId: "q68-icbNW-plot", noteId: "q68-icbNW-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68icbSE", containerId: "q68-icbSE-plot", noteId: "q68-icbSE-note", wave: q68wave, defaultColors });
  ColorLegendChart(Plotly, { jsonId: "q68icbSW", containerId: "q68-icbSW-plot", noteId: "q68-icbSW-note", wave: q68wave, 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.