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Höhn A, Lomax N, Rice H, Angus C, Brennan A, Brown D, Cunningham A, Elsenbroich C, Hughes C, Katikireddi SV, McCartney G, Seaman R, Tsuchia A, Meier P. Estimating quality-adjusted life expectancy (QALE) for local authorities in Great Britain and its association with indicators of the inclusive economy: a cross-sectional study. BMJ Open 2024; 14:e076704. [PMID: 38431294 PMCID: PMC10910677 DOI: 10.1136/bmjopen-2023-076704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 02/13/2024] [Indexed: 03/05/2024] Open
Abstract
OBJECTIVES Quantifying area-level inequalities in population health can help to inform policy responses. We describe an approach for estimating quality-adjusted life expectancy (QALE), a comprehensive health expectancy measure, for local authorities (LAs) in Great Britain (GB). To identify potential factors accounting for LA-level QALE inequalities, we examined the association between inclusive economy indicators and QALE. SETTING 361/363 LAs in GB (lower tier/district level) within the period 2018-2020. DATA AND METHODS We estimated life tables for LAs using official statistics and utility scores from an area-level linkage of the Understanding Society survey. Using the Sullivan method, we estimated QALE at birth in years with corresponding 80% CIs. To examine the association between inclusive economy indicators and QALE, we used an open access data set operationalising the inclusive economy, created by the System Science in Public Health and Health Economics Research consortium. RESULTS Population-weighted QALE estimates across LAs in GB were lowest in Scotland (females/males: 65.1 years/64.9 years) and Wales (65.0 years/65.2 years), while they were highest in England (67.5 years/67.6 years). The range across LAs for females was from 56.3 years (80% CI 45.6 to 67.1) in Mansfield to 77.7 years (80% CI 65.11 to 90.2) in Runnymede. QALE for males ranged from 57.5 years (80% CI 40.2 to 74.7) in Merthyr Tydfil to 77.2 years (80% CI 65.4 to 89.1) in Runnymede. Indicators of the inclusive economy accounted for more than half of the variation in QALE at the LA level (adjusted R2 females/males: 50%/57%). Although more inclusivity was generally associated with higher levels of QALE at the LA level, this association was not consistent across all 13 inclusive economy indicators. CONCLUSIONS QALE can be estimated for LAs in GB, enabling further research into area-level health inequalities. The associations we identified between inclusive economy indicators and QALE highlight potential policy priorities for improving population health and reducing health inequalities.
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Affiliation(s)
- Andreas Höhn
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Nik Lomax
- School of Geography, University of Leeds, Leeds, UK
| | - Hugh Rice
- School of Geography, University of Leeds, Leeds, UK
| | - Colin Angus
- School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Alan Brennan
- School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Denise Brown
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Anne Cunningham
- School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Corinna Elsenbroich
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Ceri Hughes
- Manchester Institute of Education, The University of Manchester, Manchester, UK
| | | | - Gerry McCartney
- School of Social and Political Sciences, University of Glasgow, Glasgow, UK
| | - Rosie Seaman
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Aki Tsuchia
- School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Petra Meier
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
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Stewart E, Such E. Evaluating participant experiences of Community Panels to scrutinise policy modelling for health inequalities: the SIPHER Consortium. RESEARCH INVOLVEMENT AND ENGAGEMENT 2024; 10:4. [PMID: 38191500 PMCID: PMC10775539 DOI: 10.1186/s40900-023-00521-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/27/2023] [Indexed: 01/10/2024]
Abstract
Data-intensive research, including policy modelling, poses some distinctive challenges for efforts to mainstream public involvement into health research. There is a need for learning about how to design and deliver involvement for these types of research which are highly technical, and where researchers are at a distance from the people whose lives data depicts. This article describes our experiences involving members of the public in the SIPHER Consortium, a data-intensive policy modelling programme with researchers and policymakers working together over five years to try to address health inequalities. We focus on evaluating people's experiences as part of Community Panels for SIPHER. Key issues familiar from general public involvement efforts include practical details, careful facilitation of meetings, and payment for participants. We also describe some of the more particular learning around how to communicate technical research to non-academic audiences, in order to enable public scrutiny of research decisions. We conclude that public involvement in policy modelling can be meaningful and enjoyable, but that it needs to be carefully organised, and properly resourced.
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Breeze PR, Squires H, Ennis K, Meier P, Hayes K, Lomax N, Shiell A, Kee F, de Vocht F, O’Flaherty M, Gilbert N, Purshouse R, Robinson S, Dodd PJ, Strong M, Paisley S, Smith R, Briggs A, Shahab L, Occhipinti J, Lawson K, Bayley T, Smith R, Boyd J, Kadirkamanathan V, Cookson R, Hernandez‐Alava M, Jackson CH, Karapici A, Sassi F, Scarborough P, Siebert U, Silverman E, Vale L, Walsh C, Brennan A. Guidance on the use of complex systems models for economic evaluations of public health interventions. HEALTH ECONOMICS 2023; 32:1603-1625. [PMID: 37081811 PMCID: PMC10947434 DOI: 10.1002/hec.4681] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 05/03/2023]
Abstract
To help health economic modelers respond to demands for greater use of complex systems models in public health. To propose identifiable features of such models and support researchers to plan public health modeling projects using these models. A working group of experts in complex systems modeling and economic evaluation was brought together to develop and jointly write guidance for the use of complex systems models for health economic analysis. The content of workshops was informed by a scoping review. A public health complex systems model for economic evaluation is defined as a quantitative, dynamic, non-linear model that incorporates feedback and interactions among model elements, in order to capture emergent outcomes and estimate health, economic and potentially other consequences to inform public policies. The guidance covers: when complex systems modeling is needed; principles for designing a complex systems model; and how to choose an appropriate modeling technique. This paper provides a definition to identify and characterize complex systems models for economic evaluations and proposes guidance on key aspects of the process for health economics analysis. This document will support the development of complex systems models, with impact on public health systems policy and decision making.
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Affiliation(s)
- Penny R. Breeze
- School of Health and Related ResearchUniversity of SheffieldSheffieldUK
| | - Hazel Squires
- School of Health and Related ResearchUniversity of SheffieldSheffieldUK
| | - Kate Ennis
- British Medical Journal Technology Appraisal GroupLondonUK
| | - Petra Meier
- MRC/CSO Social and Public Health Sciences UnitUniversity of GlasgowScotlandUK
| | - Kate Hayes
- School of Health and Related ResearchUniversity of SheffieldSheffieldUK
| | - Nik Lomax
- School of GeographyUniversity of LeedsLeedsUK
| | - Alan Shiell
- Department of Public HealthLaTrobe UniversityMelbourneAustralia
| | - Frank Kee
- Centre for Public HealthQueen's University BelfastBelfastUK
| | - Frank de Vocht
- Population Health SciencesBristol Medical SchoolUniversity of BristolBristolUK
- NIHR Applied Research Collaboration West (ARC West)BristolUK
| | - Martin O’Flaherty
- Department of Public Health, Policy and SystemsUniversity of LiverpoolLiverpoolUK
| | | | - Robin Purshouse
- Department of Automatic Control and Systems EngineeringUniversity of SheffieldSheffieldUK
| | | | - Peter J Dodd
- School of Health and Related ResearchUniversity of SheffieldSheffieldUK
| | - Mark Strong
- School of Health and Related ResearchUniversity of SheffieldSheffieldUK
| | | | - Richard Smith
- College of Medicine and HealthUniversity of ExeterExeterUK
| | - Andrew Briggs
- London School of Hygiene & Tropical MedicineLondonUK
| | - Lion Shahab
- Department of Behavioural Science and HealthUCLLondonUK
| | - Jo‐An Occhipinti
- Brain and Mind CentreUniversity of SydneyNew South WalesCamperdownAustralia
| | - Kenny Lawson
- Brain and Mind CentreUniversity of SydneyNew South WalesCamperdownAustralia
| | | | - Robert Smith
- School of Health and Related ResearchUniversity of SheffieldSheffieldUK
| | - Jennifer Boyd
- School of Health and Related ResearchUniversity of SheffieldSheffieldUK
- MRC/CSO Social and Public Health Sciences UnitUniversity of GlasgowGlasgowUK
| | | | | | | | | | - Amanda Karapici
- NIHR SPHRLondon School of Hygiene and Tropical MedicineLondonUK
| | - Franco Sassi
- Centre for Health Economics & Policy InnovationImperial College Business SchoolLondonUK
| | - Peter Scarborough
- Nuffield Department of Population HealthUniversity of OxfordOxfordshireOxfordUK
| | - Uwe Siebert
- Department of Public Health, Health Services Research and Health Technology AssessmentUMIT TIROL ‐ University for Health Sciences and TechnologyHall in TirolTyrolAustria
- Division of Health Technology Assessment and BioinformaticsONCOTYROL ‐ Center for Personalized Cancer MedicineInnsbruckAustria
- Center for Health Decision ScienceDepartments of Epidemiology and Health Policy & ManagementHarvard T.H. Chan School of Public HealthMassachusettsBostonUSA
- Program on Cardiovascular Research, Institute for Technology Assessment and Department of RadiologyMassachusetts General HospitalHarvard Medical SchoolMassachusettsBostonUSA
| | - Eric Silverman
- MRC/CSO Social and Public Health Sciences UnitUniversity of GlasgowGlasgowUK
| | - Luke Vale
- Health Economics GroupPopulation Health Sciences InstituteNewcastle UniversityNewcastleUK
| | - Cathal Walsh
- Health Research Institute and MACSIUniversity of LimerickLimerickIreland
| | - Alan Brennan
- School of Health and Related ResearchUniversity of SheffieldSheffieldUK
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Meier P, Katikireddi SV, Smith K. Bold action is needed to strengthen primary prevention. BMJ 2023; 380:595. [PMID: 36921929 DOI: 10.1136/bmj.p595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Affiliation(s)
- Petra Meier
- MRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Srinivasa Vittal Katikireddi
- MRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Katherine Smith
- School of Social Work and Social Policy, University of Strathclyde, Strathclyde, UK
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5
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Such E, Smith K, Woods HB, Meier P. Governance of Intersectoral Collaborations for Population Health and to Reduce Health Inequalities in High-Income Countries: A Complexity-Informed Systematic Review. Int J Health Policy Manag 2022; 11:2780-2792. [PMID: 35219286 PMCID: PMC10105187 DOI: 10.34172/ijhpm.2022.6550] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 01/30/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND A 'Health in All Policies' (HiAP) approach has been widely advocated as a way to involve multiple government sectors in addressing health inequalities, but implementation attempts have not always produced the expected results. Explaining how HiAP-style collaborations have been governed may offer insights into how to improve population health and reduce health inequalities. METHODS Theoretically focused systematic review. Synthesis of evidence from evaluative studies into a causal logic model. RESULTS Thirty-one publications based on 40 case studies from nine high-income countries were included. Intersectoral collaborations for population health and equity were multi-component and multi-dimensional with collaborative activity spanning policy, strategy, service design and service delivery. Governance of intersectoral collaboration included structural and relational components. Both internal and external legitimacy and credibility delivered collaborative power, which in turn enabled intersectoral collaboration. Internal legitimacy was driven by multiple structural elements and processes. Many of these were instrumental in developing (often-fragile) relational trust. Internal credibility was supported by multi-level collaborations that were adequately resourced and shared power. External legitimacy and credibility was created through meaningful community engagement, leadership that championed collaborations and the identification of 'win-win' strategies. External factors such as economic shocks and short political cycles reduced collaborative power. CONCLUSION This novel review, using systems thinking and causal loop representations, offers insights into how collaborations can generate internal and external legitimacy and credibility. This offers promise for future collaborative activity for population health and equity; it presents a clearer picture of what structural and relational components and dynamics collaborative partners can focus on when planning and implementing HiAP initiatives. The limits of the literature base, however, does not make it possible to identify if or how this might deliver improved population health or health equity.
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Affiliation(s)
- Elizabeth Such
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | | | | | - Petra Meier
- MRC/CSA Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
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Ralston R, Smith K, O'Connor CH, Brown A. Levelling up the UK: is the government serious about reducing regional inequalities in health? BMJ 2022; 377:e070589. [PMID: 35649577 DOI: 10.1136/bmj-2022-070589] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Rob Ralston
- Global Health Policy Unit, University of Edinburgh, Edinburgh, UK
- School of Social Work and Social Policy, University of Strathclyde, Glasgow, UK
| | - Katherine Smith
- School of Social Work and Social Policy, University of Strathclyde, Glasgow, UK
- SPECTRUM Consortium (Shaping Public Health Policies to Reduce Inequalities and Harm), Edinburgh
- SIPHER (System-science Informed Public Health and Health Economic Research), Glasgow
| | - Clementine Hill O'Connor
- School of Social Work and Social Policy, University of Strathclyde, Glasgow, UK
- SIPHER (System-science Informed Public Health and Health Economic Research), Glasgow
| | - Ally Brown
- School of Social Work and Social Policy, University of Strathclyde, Glasgow, UK
- SIPHER (System-science Informed Public Health and Health Economic Research), Glasgow
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Staton CA, Vissoci JRN, El-Gabri D, Adewumi K, Concepcion T, Elliott SA, Evans DR, Galson SW, Pate CT, Reynolds LM, Sanchez NA, Sutton AE, Yuan C, Pauley A, Andrade L, Von Isenberg M, Ye JJ, Gerardo CJ. Patient-level interventions to reduce alcohol-related harms in low- and middle-income countries: A systematic review and meta-summary. PLoS Med 2022; 19:e1003961. [PMID: 35413054 PMCID: PMC9004752 DOI: 10.1371/journal.pmed.1003961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 03/09/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Disease and disability from alcohol use disproportionately impact people in low- and middle-income countries (LMICs). While varied interventions have been shown to reduce alcohol use in high-income countries, their efficacy in LMICs has not been assessed. This systematic review describes current published literature on patient-level alcohol interventions in LMICs and specifically describes clinical trials evaluating interventions to reduce alcohol use in LMICs. METHODS AND FINDINGS In accordance with PRISMA, we performed a systematic review using an electronic search strategy from January 1, 1995 to December 1, 2020. Title, abstract, as well as full-text screening and extraction were performed in duplicate. A meta-summary was performed on randomized controlled trials (RCTs) that evaluated alcohol-related outcomes. We searched the following electronic databases: PubMed, EMBASE, Scopus, Web of Science, Cochrane, WHO Global Health Library, and PsycINFO. Articles that evaluated patient-level interventions targeting alcohol use and alcohol-related harm in LMICs were eligible for inclusion. No studies were excluded based on language. After screening 5,036 articles, 117 articles fit our inclusion criteria, 75 of which were RCTs. Of these RCTs, 93% were performed in 13 middle-income countries, while 7% were from 2 low-income countries. These RCTs evaluated brief interventions (24, defined as any intervention ranging from advice to counseling, lasting less than 1 hour per session up to 4 sessions), psychotherapy or counseling (15, defined as an interaction with a counselor longer than a brief intervention or that included a psychotherapeutic component), health promotion and education (20, defined as an intervention encouraged individuals' agency of taking care of their health), or biologic treatments (19, defined as interventions where the biological function of alcohol use disorder (AUD) as the main nexus of intervention) with 3 mixing categories of intervention types. Due to high heterogeneity of intervention types, outcome measures, and follow-up times, we did not conduct meta-analysis to compare and contrast studies, but created a meta-summary of all 75 RCT studies. The most commonly evaluated intervention with the most consistent positive effect was a brief intervention; similarly, motivational interviewing (MI) techniques were most commonly utilized among the diverse array of interventions evaluated. CONCLUSIONS Our review demonstrated numerous patient-level interventions that have the potential to be effective in LMICs, but further research to standardize interventions, populations, and outcome measures is necessary to accurately assess their effectiveness. Brief interventions and MI techniques were the most commonly evaluated and had the most consistent positive effect on alcohol-related outcomes. TRIAL REGISTRATION Protocol Registry: PROSPERO CRD42017055549.
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Affiliation(s)
- Catherine A. Staton
- Duke Division of Emergency Medicine, Department of Surgery, Duke University Medical Center, Duke University, Durham, North Carolina, United States of America
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
- Health Sciences Graduate Program, State University of Maringa, Maringa, Parana State, Brazil
| | - João Ricardo Nickenig Vissoci
- Duke Division of Emergency Medicine, Department of Surgery, Duke University Medical Center, Duke University, Durham, North Carolina, United States of America
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
- Health Sciences Graduate Program, State University of Maringa, Maringa, Parana State, Brazil
| | - Deena El-Gabri
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Konyinsope Adewumi
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Tessa Concepcion
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Shannon A. Elliott
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Daniel R. Evans
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Sophie W. Galson
- Duke Division of Emergency Medicine, Department of Surgery, Duke University Medical Center, Duke University, Durham, North Carolina, United States of America
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Charles T. Pate
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Lindy M. Reynolds
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Nadine A. Sanchez
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Alexandra E. Sutton
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
- Nicholas School of the Environment, Duke University, Durham, North Carolina, United States of America
| | - Charlotte Yuan
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Alena Pauley
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Luciano Andrade
- Health Sciences Graduate Program, State University of Maringa, Maringa, Parana State, Brazil
| | - Megan Von Isenberg
- Duke School of Medical Center Library Services & Archives, Duke University, Durham, North Carolina, United States of America
| | - Jinny J. Ye
- Duke Division of Emergency Medicine, Department of Surgery, Duke University Medical Center, Duke University, Durham, North Carolina, United States of America
| | - Charles J. Gerardo
- Duke Division of Emergency Medicine, Department of Surgery, Duke University Medical Center, Duke University, Durham, North Carolina, United States of America
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
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8
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Brand-Correa L, Brook A, Büchs M, Meier P, Naik Y, O'Neill DW. Economics for people and planet-moving beyond the neoclassical paradigm. Lancet Planet Health 2022; 6:e371-e379. [PMID: 35397225 PMCID: PMC9226380 DOI: 10.1016/s2542-5196(22)00063-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 02/14/2022] [Accepted: 02/21/2022] [Indexed: 05/26/2023]
Abstract
Despite substantial attention within the fields of public and planetary health on developing an economic system that benefits both people's health and the environment, heterodox economic schools of thought have received little attention within these fields. Ecological economics is a school of thought with particular relevance to public and planetary health. In this article, we discuss implications of key ecological economics ideas for public and planetary health, especially those related to critiques of gross domestic product as a measure of progress and economic growth as the dominant goal for economic and policy decision making. We suggest that ecological economics aligns well with public health goals, including concern for equality and redistribution. Ecological economics offers an opportunity to make the transition to an economic system that is designed to promote human and planetary health from the outset, rather than one where social and environmental externalities must be constantly corrected after the fact. Important ideas from ecological economics include the use of a multidimensional framework to evaluate economic and social performance, the prioritisation of wellbeing and environmental goals in decision making, policy design and evaluation that take complex relationships into account, and the role of provisioning systems (the physical and social systems that link resource use and social outcomes). We discuss possible interventions at the national scale that could promote public health and that align with the prioritisation of social and ecological objectives, including universal basic income or services and sovereign money creation. Overall, we lay the foundations for additional integration of ecological economics principles and pluralist economic thinking into public and planetary health scholarship and practice.
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Affiliation(s)
- Lina Brand-Correa
- Faculty of Environmental and Urban Change, York University, Toronto, ON, Canada; Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds, UK
| | - Anna Brook
- School of Health and Related Research, University of Sheffield, Sheffield, UK.
| | - Milena Büchs
- Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds, UK
| | - Petra Meier
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Yannish Naik
- School of Health and Related Research, University of Sheffield, Sheffield, UK; Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Daniel W O'Neill
- Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds, UK
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Wu G, Heppenstall A, Meier P, Purshouse R, Lomax N. A synthetic population dataset for estimating small area health and socio-economic outcomes in Great Britain. Sci Data 2022; 9:19. [PMID: 35058471 PMCID: PMC8776798 DOI: 10.1038/s41597-022-01124-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 12/13/2021] [Indexed: 02/03/2023] Open
Abstract
In order to understand the health outcomes for distinct sub-groups of the population or across different geographies, it is advantageous to be able to build bespoke groupings from individual level data. Individuals possess distinct characteristics, exhibit distinct behaviours and accumulate their own unique history of exposure or experiences. However, in most disciplines, not least public health, there is a lack of individual level data available outside of secure settings, especially covering large portions of the population. This paper provides detail on the creation of a synthetic micro dataset for individuals in Great Britain who have detailed attributes which can be used to model a wide range of health and other outcomes. These attributes are constructed from a range of sources including the United Kingdom Census, survey and administrative datasets. It provides a rationale for the need for this synthetic population, discusses methods for creating this dataset and provides some example results of different attribute distributions for distinct sub-population groups and over different geographical areas.
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Affiliation(s)
- Guoqiang Wu
- Leeds Institute for Data Analytics and School of Geography, University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, LS2 9JT, UK.
| | - Alison Heppenstall
- Leeds Institute for Data Analytics and School of Geography, University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, LS2 9JT, UK
- Alan Turing Institute for Data Science & AI, The British Library, London, NW1 2DB, UK
| | - Petra Meier
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Berkeley Square, 99 Berkeley Street, Glasgow, G3 7HR, UK
| | - Robin Purshouse
- Department of Automatic Control and Systems Engineering, University of Sheffield, Portobello Street, Sheffield, S1 3JD, UK
| | - Nik Lomax
- Leeds Institute for Data Analytics and School of Geography, University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, LS2 9JT, UK
- Alan Turing Institute for Data Science & AI, The British Library, London, NW1 2DB, UK
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10
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Boyd J, Sexton O, Angus C, Meier P, Purshouse RC, Holmes J. Causal mechanisms proposed for the alcohol harm paradox-a systematic review. Addiction 2022; 117:33-56. [PMID: 33999487 PMCID: PMC8595457 DOI: 10.1111/add.15567] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/17/2020] [Accepted: 04/28/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND AIMS The alcohol harm paradox (AHP) posits that disadvantaged groups suffer from higher rates of alcohol-related harm compared with advantaged groups, despite reporting similar or lower levels of consumption on average. The causes of this relationship remain unclear. This study aimed to identify explanations proposed for the AHP. Secondary aims were to review the existing evidence for those explanations and investigate whether authors linked explanations to one another. METHODS This was a systematic review. We searched MEDLINE (1946-January 2021), EMBASE (1974-January 2021) and PsycINFO (1967-January 2021), supplemented with manual searching of grey literature. Included papers either explored the causes of the AHP or investigated the relationship between alcohol consumption, alcohol-related harm and socio-economic position. Papers were set in Organization for Economic Cooperation and Development high-income countries. Explanations extracted for analysis could be evidenced in the empirical results or suggested by researchers in their narrative. Inductive thematic analysis was applied to group explanations. RESULTS Seventy-nine papers met the inclusion criteria and initial coding revealed that these papers contained 41 distinct explanations for the AHP. Following inductive thematic analysis, these explanations were grouped into 16 themes within six broad domains: individual, life-style, contextual, disadvantage, upstream and artefactual. Explanations related to risk behaviours, which fitted within the life-style domain, were the most frequently proposed (n = 51) and analysed (n = 21). CONCLUSIONS While there are many potential explanations for the alcohol harm paradox, most research focuses on risk behaviours while other explanations lack empirical testing.
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Affiliation(s)
- Jennifer Boyd
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Olivia Sexton
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Colin Angus
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Petra Meier
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Robin C. Purshouse
- Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK
| | - John Holmes
- School of Health and Related Research, University of Sheffield, Sheffield, UK
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11
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Naik Y, Brook A, Perraton J, Meier P. Fiscal and monetary policies: the cutting edge of advocacy and research on population health and climate change. Perspect Public Health 2021; 141:325-327. [PMID: 34816776 PMCID: PMC8647482 DOI: 10.1177/17579139211059983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Y Naik
- The University of Sheffield and Leeds Teaching Hospitals NHS Trust, Sheffield, UK
| | - A Brook
- The University of Sheffield and Leeds Teaching Hospitals NHS Trust, Sheffield, UK
| | - J Perraton
- The University of Sheffield, Sheffield, UK
| | - P Meier
- University of Glasgow, Glasgow, UK
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Boyd J, Bambra C, Purshouse RC, Holmes J. Beyond Behaviour: How Health Inequality Theory Can Enhance Our Understanding of the 'Alcohol-Harm Paradox'. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:6025. [PMID: 34205125 PMCID: PMC8199939 DOI: 10.3390/ijerph18116025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 05/24/2021] [Accepted: 06/02/2021] [Indexed: 11/16/2022]
Abstract
There are large socioeconomic inequalities in alcohol-related harm. The alcohol harm paradox (AHP) is the consistent finding that lower socioeconomic groups consume the same or less as higher socioeconomic groups yet experience greater rates of harm. To date, alcohol researchers have predominantly taken an individualised behavioural approach to understand the AHP. This paper calls for a new approach which draws on theories of health inequality, specifically the social determinants of health, fundamental cause theory, political economy of health and eco-social models. These theories consist of several interwoven causal mechanisms, including genetic inheritance, the role of social networks, the unequal availability of wealth and other resources, the psychosocial experience of lower socioeconomic position, and the accumulation of these experiences over time. To date, research exploring the causes of the AHP has often lacked clear theoretical underpinning. Drawing on these theoretical approaches in alcohol research would not only address this gap but would also result in a structured effort to identify the causes of the AHP. Given the present lack of clear evidence in favour of any specific theory, it is difficult to conclude whether one theory should take primacy in future research efforts. However, drawing on any of these theories would shift how we think about the causes of the paradox, from health behaviour in isolation to the wider context of complex interacting mechanisms between individuals and their environment. Meanwhile, computer simulations have the potential to test the competing theoretical perspectives, both in the abstract and empirically via synthesis of the disparate existing evidence base. Overall, making greater use of existing theoretical frameworks in alcohol epidemiology would offer novel insights into the AHP and generate knowledge of how to intervene to mitigate inequalities in alcohol-related harm.
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Affiliation(s)
- Jennifer Boyd
- School of Health and Related Research, The University of Sheffield, S1 4DA Sheffield, UK;
| | - Clare Bambra
- Population Heath Sciences Institute, Faculty of Medical Sciences, Newcastle University, NE2 4HH Newcastle upon Tyne, UK;
| | - Robin C. Purshouse
- Department of Automatic Control and Systems Engineering, The University of Sheffield, S1 3JD Sheffield, UK;
| | - John Holmes
- School of Health and Related Research, The University of Sheffield, S1 4DA Sheffield, UK;
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