Investigating health and social outcomes of the Big Local community empowerment initiative in England: a mixed method evaluation

Public Health Res (Southampt). 2023 Oct;11(9):1-147. doi: 10.3310/GRMA6711.

Abstract

Background: Most research on community empowerment provides evidence on engaging communities for health promotion purposes rather than attempts to create empowering conditions. This study addresses this gap.

Intervention: Big Local started in 2010 with £271M from the National Lottery. Ending in 2026, it gives 150 relatively disadvantaged communities in England control over £1M to improve their neighbourhoods.

Objective: To investigate health and social outcomes, at the population level and among engaged residents, of the community engagement approach adopted in a place-based empowerment initiative.

Study design, data sources and outcome variables: This study reports on the third wave of a longitudinal mixed-methods evaluation. Work package 1 used a difference-in-differences design to investigate the impact of Big Local on population outcomes in all 150 Big Local areas compared to matched comparator areas using secondary data. The primary outcome was anxiety; secondary outcomes included a population mental health measure and crime in the neighbourhood. Work package 2 assessed active engagement in Big Local using cross-sectional data and nested cohort data from a biannual survey of Big Local partnership members. The primary outcome was mental well-being and the secondary outcome was self-rated health. Work package 3 conducted qualitative research in 14 Big Local neighbourhoods and nationally to understand pathways to impact. Work package 4 undertook a cost-benefit analysis using the life satisfaction approach to value the benefits of Big Local, which used the work package 1 estimate of Big Local impact on life satisfaction.

Results: At a population level, the impacts on 'reporting high anxiety' (-0.8 percentage points, 95% confidence interval -2.4 to 0.7) and secondary outcomes were not statistically significant, except burglary (-0.054 change in z-score, 95% confidence interval -0.100 to -0.009). There was some effect on reduced anxiety after 2017. Areas progressing fastest had a statistically significant reduction in population mental health measure (-0.053 change in z-score, 95% confidence interval -0.103 to -0.002). Mixed results were found among engaged residents, including a significant increase in mental well-being in Big Local residents in the nested cohort in 2018, but not by 2020; this is likely to be COVID-19. More highly educated residents, and males, were more likely to report a significant improvement in mental well-being. Qualitative accounts of positive impacts on mental well-being are often related to improved social connectivity and physical/material environments. Qualitative data revealed increasing capabilities for residents' collective control. Some negative impacts were reported, with local factors sometimes undermining residents' ability to exercise collective control. Finally, on the most conservative estimate, the cost-benefit calculations generate a net benefit estimate of £64M.

Main limitations: COVID-19 impacted fieldwork and interpretation of survey data. There was a short 4-year follow-up (2016/20), no comparators in work package 2 and a lack of power to look at variations across areas.

Conclusions: Our findings suggest the need for investment to support community organisations to emerge from and work with communities. Residents should lead the prioritisation of issues and design of solutions but not necessarily lead action; rather, agencies should work as equal partners with communities to deliver change.

Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Public Health Research Programme (16/09/13) and will be published in full in Public Health Research; Vol. 11, No. 9. See the NIHR Journals Library website for further project information.

Keywords: COMMUNITY EMPOWERMENT; DISADVANTAGED COMMUNITIES; HEALTH INEQUALITIES; LONGITUDINAL MIXED-METHODS EVALUATION; QUALITATIVE RESEARCH; SYSTEM THEORY.

Plain language summary

The Communities in Control study is looking at the health impacts of the Big Local community empowerment programme, funded by the National Lottery Community Fund and managed by Local Trust (a national charitable organisation). Residents of 150 English areas have at least £1M and other support to improve the neighbourhoods. There have been three phases of the research. This report shares findings from their third phase, which began in 2018. First, we used data from a national survey and data from national health and welfare services to compare changes in mental health between people living in Big Local areas and those in similar areas that did not have a Big Local partnership. Furthermore, we also used publicly available data on crime in the neighbourhoods. We found weak evidence that Big Local was linked with improved mental health and a reduction in burglaries. Second, we used data from a survey conducted by Local Trust to look at health and social impacts on the most active residents. We found an increase in mental well-being in 2018 but this was not maintained in 2020, probably due to the COVID-19 pandemic. Third, we did interviews and observations in 14 Big Local areas to understand what helps and what does not help residents to improve their neighbourhoods. We found that partnerships need to have legitimacy, the right balance of support, and learning opportunities. Residents suggested that creating social connections and welcoming social spaces, improving how people view the area and tackling poverty contributed to health improvements. Direct involvement in Big Local was both stressful and rewarding. Finally, we did a cost–benefit analysis by putting a monetary value on residents’ increase in life satisfaction due to Big Local and comparing it with the costs of Big Local. We found that the benefits exceed the costs by at least £60M, suggesting that Big Local provides good value for money.

MeSH terms

  • COVID-19*
  • Cross-Sectional Studies
  • England / epidemiology
  • Humans
  • Male
  • Qualitative Research
  • Surveys and Questionnaires