Literature DB >> 26829008

Proportionate universalism in practice? A quasi-experimental study (GoWell) of a UK neighbourhood renewal programme's impact on health inequalities.

Matt Egan1, Ade Kearns2, Srinivasa V Katikireddi3, Angela Curl4, Kenny Lawson5, Carol Tannahill6.   

Abstract

Recommendations to reduce health inequalities frequently emphasise improvements to socio-environmental determinants of health. Proponents of 'proportionate universalism' argue that such improvements should be allocated proportionally to population need. We tested whether city-wide investment in urban renewal in Glasgow (UK) was allocated to 'need' and whether this reduced health inequalities. We identified a longitudinal cohort (n = 1006) through data linkage across surveys conducted in 2006 and 2011 in 14 differentially disadvantaged neighbourhoods. Each neighbourhood received renewal investment during that time, allocated on the basis of housing need. We grouped neighbourhoods into those receiving 'higher', 'medium' or 'lower' levels of investment. We compared residents' self-reported physical and mental health between these three groups over time using the SF-12 version 2 instrument. Multiple linear regression adjusted for baseline gender, age, education, household structure, housing tenure, building type, country of birth and clustering. Areas receiving higher investment tended to be most disadvantaged in terms of baseline health, income deprivation and markers of social disadvantage. After five years, mean mental health scores improved in 'higher investment' areas relative to 'lower investment' areas (b = 4.26; 95% CI = 0.29, 8.22; P = 0.036). Similarly, mean physical health scores declined less in high investment compared to low investment areas (b = 3.86; 95% CI = 1.96, 5.76; P < 0.001). Relative improvements for medium investment (compared to lower investment) areas were not statistically significant. Findings suggest that investment in housing-led renewal was allocated according to population need and this led to modest reductions in area-based inequalities in health after five years. Study limitations include a risk of selection bias. This study demonstrates how non-health interventions can, and we believe should, be evaluated to better understand if and how health inequalities can be reduced through strategies of allocating investment in social determinants of health according to need.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Health inequalities; Natural experiment; Neighbourhood renewal; Proportionate universalism; UK

Mesh:

Year:  2016        PMID: 26829008     DOI: 10.1016/j.socscimed.2016.01.026

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  21 in total

1.  Unraveling common threads in obesity risk among racial/ethnic minority and migrant populations.

Authors:  S K Kumanyika
Journal:  Public Health       Date:  2019-06-19       Impact factor: 2.427

2.  Prevention in the 2020s: where is primary care?

Authors:  David N Blane; Andrea E Williamson; Sara Macdonald; Catherine A O'Donnell
Journal:  Br J Gen Pract       Date:  2020-07-30       Impact factor: 5.386

3.  A Framework for Increasing Equity Impact in Obesity Prevention.

Authors:  Shiriki K Kumanyika
Journal:  Am J Public Health       Date:  2019-08-15       Impact factor: 9.308

4.  Improving Mental Health Through the Regeneration of Deprived Neighborhoods: A Natural Experiment.

Authors:  James White; Giles Greene; Daniel Farewell; Frank Dunstan; Sarah Rodgers; Ronan A Lyons; Ioan Humphreys; Ann John; Chris Webster; Ceri J Phillips; David Fone
Journal:  Am J Epidemiol       Date:  2017-08-15       Impact factor: 4.897

5.  The contribution of risk factors to socioeconomic inequalities in multimorbidity across the lifecourse: a longitudinal analysis of the Twenty-07 cohort.

Authors:  Srinivasa Vittal Katikireddi; Kathryn Skivington; Alastair H Leyland; Kate Hunt; Stewart W Mercer
Journal:  BMC Med       Date:  2017-08-24       Impact factor: 8.775

Review 6.  Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence.

Authors:  Laura Tinner; Deborah Caldwell; Matthew Hickman; Georgina J MacArthur; Denise Gottfredson; Alberto Lana Perez; D Paul Moberg; David Wolfe; Rona Campbell
Journal:  BMC Public Health       Date:  2018-10-16       Impact factor: 3.295

7.  Longitudinal association between change in the neighbourhood built environment and the wellbeing of local residents in deprived areas: an observational study.

Authors:  Louise Foley; Emma Coombes; Dan Hayman; David Humphreys; Andrew Jones; Richard Mitchell; David Ogilvie
Journal:  BMC Public Health       Date:  2018-04-24       Impact factor: 3.295

8.  Considering health equity when moving from evidence-based guideline recommendations to implementation: a case study from an upper-middle income country on the GRADE approach.

Authors:  Javier Eslava-Schmalbach; Paola Mosquera; Juan Pablo Alzate; Kevin Pottie; Vivian Welch; Elie A Akl; Janet Jull; Eddy Lang; Srinivasa Vittal Katikireddi; Rachel Morton; Lehana Thabane; Bev Shea; Airton T Stein; Jasvinder Singh; Ivan D Florez; Gordon Guyatt; Holger Schünemann; Peter Tugwell
Journal:  Health Policy Plan       Date:  2017-12-01       Impact factor: 3.344

9.  Do multiple community-based interventions on health promotion tackle health inequalities?

Authors:  Stefan Nickel; Olaf von dem Knesebeck
Journal:  Int J Equity Health       Date:  2020-09-10

10.  Evaluating the effect of change in the built environment on mental health and subjective well-being: a natural experiment.

Authors:  Bina Ram; Elizabeth S Limb; Aparna Shankar; Claire M Nightingale; Alicja R Rudnicka; Steven Cummins; Christelle Clary; Daniel Lewis; Ashley R Cooper; Angie S Page; Anne Ellaway; Billie Giles-Corti; Peter H Whincup; Derek G Cook; Christopher G Owen
Journal:  J Epidemiol Community Health       Date:  2020-04-24       Impact factor: 6.286

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