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Research

Inequalities in health-related quality of life: repeated cross-sectional study of trends in general practice survey data

Vishalie Shah, Jonathan Stokes and Matt Sutton
British Journal of General Practice 2021; 71 (704): e178-e184. DOI: https://doi.org/10.3399/BJGP.2020.0616
Vishalie Shah
Centre for Health Economics, University of York, York; Health Organisation, Policy and Economics (HOPE), Centre for Primary Care and Health Services Research, University of Manchester, Manchester.
Roles: PhD student
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Jonathan Stokes
HOPE, Centre for Primary Care and Health Services Research, University of Manchester, Manchester.
Roles: Research fellow
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Matt Sutton
HOPE, Centre for Primary Care and Health Services Research, University of Manchester, Manchester.
Roles: Professor
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  • Figure 1.
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    Figure 1.

    EQ-5D-5L score (with 95% confidence intervals) for males and females, England, 2012–2017.

  • Figure 2.
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    Figure 2.

    EQ-5D-5L score (with 95% confidence intervals) for males and females by age categories, England, 2012–2017.

  • Figure 3a.
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    Figure 3a.

    EQ-5D-5L score (with 95% confidence intervals) for males and females by quintiles of deprivation, England, 2012–2017. 3b. Change in EQ-5D- 5L score across clinical commissioning groups by quintiles, England, 2012–2017.

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    Figure 4.

    EQ-5D-5L domain score (with 95% confidence intervals) for males and females, England, 2012–2017.

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    Although life expectancy at birth has stalled in some high-income countries and inequalities have widened, there has been less focus on other population health indicators, such as health-related quality of life (HRQoL). The authors examine trends and inequalities in HRQoL in England using data on 3.9 million adults from large national surveys from 2012 to when the series ended in 2017. There has been no change in average HRQoL, but there have been increases in inequalities for females, particularly the youngest and those living in the most deprived areas. These deteriorations are driven by increases in anxiety and depression, and should be a future policy priority.
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    Table 1.

    Sample characteristics of GPPS responders across England for each survey waves

    Jul–Sep 2012Jan–Mar 2013Jul–Sep 2013Jan–Mar 2014Jul–Sep 2014Jan–Mar 2015Jul–Sep 2015 Jan–Mar 2016Jan–Mar 2017
    Demographic characteristicsa
      % female0.51(0.50)0.51(0.50)0.51(0.50)0.50(0.50)0.51(0.50)0.51(0.50)0.51(0.50)0.51(0.50)0.51(0.50)
      % aged 18–240.10(0.30)0.10(0.30)0.10(0.30)0.10(0.30)0.10(0.30)0.10(0.29)0.10(0.30)0.10(0.30)0.09(0.29)
      % aged 25–340.18(0.38)0.18(0.38)0.18(0.38)0.18(0.38)0.17(0.38)0.17(0.38)0.18(0.38)0.18(0.38)0.17(0.38)
      % aged 35–440.18(0.39)0.18(0.38)0.18(0.38)0.18(0.38)0.17(0.38)0.18(0.38)0.17(0.38)0.17(0.38)0.17(0.38)
      % aged 45–540.19(0.39)0.19(0.39)0.19(0.39)0.19(0.39)0.19(0.39)0.19(0.39)0.19(0.39)0.19(0.39)0.19(0.39)
      % aged 55–640.15(0.36)0.15(0.35)0.15(0.36)0.15(0.36)0.15(0.36)0.15(0.36)0.15(0.36)0.15(0.36)0.15(0.36)
      % aged 65–740.11(0.32)0.12(0.32)0.12(0.32)0.12(0.32)0.12(0.33)0.12(0.33)0.12(0.33)0.12(0.33)0.13(0.33)
      % aged 75–840.07(0.25)0.07(0.25)0.07(0.25)0.07(0.25)0.07(0.25)0.07(0.25)0.07(0.25)0.07(0.25)0.07(0.25)
      % aged ≥850.02(0.16)0.03(0.16)0.03(0.16)0.03(0.16)0.03(0.16)0.03(0.16)0.03(0.16)0.03(0.16)0.03(0.16)
      IMD 201522.00(15.65)21.58(15.45)21.62(15.53)21.64(15.52)21.64(15.53)21.64(15.49)21.62(15.50)21.69(15.48)21.70(15.51)
    EQ-5D-5La
      Utility scoreb0.821(0.23)0.825(0.22)0.821(0.23)0.822(0.22)0.822(0.22)0.823(0.23)0.823(0.22)0.820(0.23)0.818(0.23)
      Mobility4.593(0.85)4.612(0.83)4.594(0.85)4.607(0.84)4.597(0.84)4.610(0.83)4.604(0.84)4.612(0.83)4.612(0.83)
      Self-care4.842(0.57)4.844(0.57)4.843(0.57)4.843(0.57)4.847(0.56)4.843(0.57)4.846(0.57)4.844(0.57)4.840(0.58)
      Usual activities4.566(0.87)4.583(0.86)4.568(0.87)4.577(0.86)4.573(0.86)4.581(0.86)4.578(0.86)4.580(0.86)4.580(0.86)
      Pain/discomfort4.272(0.93)4.295(0.92)4.274(0.93)4.281(0.92)4.277(0.93)4.285(0.92)4.283(0.93)4.279(0.92)4.274(0.93)
      Anxiety/depression4.533(0.82)4.535(0.82)4.532(0.83)4.524(0.82)4.536(0.82)4.520(0.83)4.530(0.83)4.503(0.85)4.482(0.86)
      N425 734442 215400 629409 923381 628390 748378 241376 764732 434
    • ↵a Data presented as weighted mean (SD).

    • ↵b Utility score of 1 indicates perfect health. GPPS = General Practice Patient Survey. IMD = Index of Multiple Deprivation. SD = standard deviation.

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British Journal of General Practice: 71 (704)
British Journal of General Practice
Vol. 71, Issue 704
March 2021
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Inequalities in health-related quality of life: repeated cross-sectional study of trends in general practice survey data
Vishalie Shah, Jonathan Stokes, Matt Sutton
British Journal of General Practice 2021; 71 (704): e178-e184. DOI: 10.3399/BJGP.2020.0616

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Inequalities in health-related quality of life: repeated cross-sectional study of trends in general practice survey data
Vishalie Shah, Jonathan Stokes, Matt Sutton
British Journal of General Practice 2021; 71 (704): e178-e184. DOI: 10.3399/BJGP.2020.0616
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Keywords

  • mental health
  • population health
  • public health
  • quality of life
  • socioeconomic factors

More in this TOC Section

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  • The readability of general practice websites: a cross-sectional analysis of all general practice websites in Scotland
  • Antimicrobial stewardship in the UK during the COVID-19 pandemic: a population-based cohort study and interrupted time-series analysis
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