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Olyaeemanesh A, Takian A, Mostafavi H, Mobinizadeh M, Bakhtiari A, Yaftian F, Vosoogh-Moghaddam A, Mohamadi E. Health Equity Impact Assessment (HEIA) reporting tool: developing a checklist for policymakers. Int J Equity Health 2023; 22:241. [PMID: 37980523 PMCID: PMC10657117 DOI: 10.1186/s12939-023-02031-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/03/2023] [Indexed: 11/20/2023] Open
Abstract
INTRODUCTION Health Equity Impact Assessment (HEIA) is a decision support tool that shows users how a new program, policy, or innovation affects health equity in different population groups. Various HEIA reporting and dissemination tools are available, nevertheless, a practical standard tool to present the results of HEIA in an appropriate period to policymakers is lacking. This work reports the development of a tool (a checklist) for HEIA reporting at the decision-making level, aiming to promote the application of HEIA evidence for improving health equity. METHODS This is a mixed-method study that was carried out over four stages in 2022-2023: 1) identifying HEIA models, checklists, and reporting instruments; 2) development of the initial HEIA reporting checklist; 3) checklist validation; and 4) piloting the checklist. We also analyzed the Face, CVR, and CVI validity of the tool. RESULTS We developed the initial checklist through analysis of 53 included studies and the opinions of experts. The final checklist comprised five sections: policy introduction (eight subsections), managing the HEIA of policy (seven subsections), scope of the affected population (three subsections), HEIA results (seven subsections), and recommendations (three subsections). CONCLUSION Needs assessment, monitoring during implementation, health impact assessment, and other tools such as monitoring outcome reports, appraisals, and checklists are all methods for assessing health equity impact. Other equity-focused indicators, such as the equity lens and equity appraisal, may have slightly different goals than the HEIA. Similarly, the formats for presenting and publishing HEIA reports might vary, depending on the target population and the importance of the report.
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Affiliation(s)
- Alireza Olyaeemanesh
- Health Equity Research Center (HERC), TehranUniversity of Medical Sciences (TUMS), Tehran, Iran
- National Institute for Health Research, TehranUniversity of Medical Sciences (TUMS), Tehran, Iran
| | - Amirhossein Takian
- Health Equity Research Center (HERC), TehranUniversity of Medical Sciences (TUMS), Tehran, Iran
- Department of Global Health and Public Policy, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran
- Department of Health Management, Policy, and Economics, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Hakimeh Mostafavi
- Health Equity Research Center (HERC), TehranUniversity of Medical Sciences (TUMS), Tehran, Iran
| | - Mohammadreza Mobinizadeh
- National Institute for Health Research, TehranUniversity of Medical Sciences (TUMS), Tehran, Iran
| | - Ahad Bakhtiari
- Health Equity Research Center (HERC), TehranUniversity of Medical Sciences (TUMS), Tehran, Iran
| | - Fateme Yaftian
- Health Equity Research Center (HERC), TehranUniversity of Medical Sciences (TUMS), Tehran, Iran
| | - Abbass Vosoogh-Moghaddam
- Governance and Health Training and Research Department, National Institute for Health Research, TehranUniversity of Medical Sciences (TUMS), Tehran, Iran
- Secretariat for Health and Food Security, TehranUniversity of Medical Sciences (TUMS), Tehran, Iran
| | - Efat Mohamadi
- Health Equity Research Center (HERC), TehranUniversity of Medical Sciences (TUMS), Tehran, Iran.
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Chen C, Ahlqvist VH, Henriksson P, Migueles JH, Christiansen F, Galanti MR, Berglind D. Increasing Children's physical Activity by Policy (CAP) in preschools within the Stockholm region: study protocol for a pragmatic cluster-randomized controlled trial. Trials 2022; 23:577. [PMID: 35854370 PMCID: PMC9295109 DOI: 10.1186/s13063-022-06513-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 07/05/2022] [Indexed: 11/22/2022] Open
Abstract
Background Systematic reviews suggest that preschool environmental/organizational changes may be effective in increasing physical activity (PA) levels of preschool children, but evidence is scarce regarding feasible, effective, and equitable interventions that can be scaled up. Specifically, it is essential to understand whether introducing a multicomponent organizational change in terms of policy in the preschool context may be beneficial for children’s PA levels and concomitant health outcomes. To bridge this knowledge gap, our main aim is to examine the feasibility and effectiveness of a policy package in increasing PA levels in preschool children, using a large-scale pragmatic cluster-randomized controlled trial. Methods This proposed study is a pragmatic cluster-randomized controlled trial with two conditions (intervention and control with a 1:1 ratio) with preschools as clusters and the unit of randomization. We aim to recruit approximately 4000 3–5-year-old children from 90 preschools and retain more than 2800 children from 85 preschools to provide adequate statistical power for the analyses. The intervention to implement is a co-created, multicomponent policy package running for 6 months in preschools randomized to intervention. Change in accelerometer measured PA levels in children between intervention and control from pre- and post-intervention will be the primary outcome of the study, while secondary outcomes include health outcomes such as musculoskeletal fitness, psychosocial functioning, and absence due to illness in children among others. Implementation will be studied carefully using both quantitative (dose, fidelity) and qualitative (interview) methodologies. The change in primary and secondary outcomes, from pre- to post-intervention, will be analyzed with linear mixed-effect models (to allow both fixed and random effects) nested on a preschool level. Discussion This is a large-scale co-creation project involving the City of Stockholm, childcare stakeholders, preschool staff, and the research group with the potential to influence more than 30,000 preschool children within the Stockholm area. The study will add reliable evidence for the implementation of PA policies at the organizational level of preschools and clarify its potential effect on objectively measured PA and health markers in children. Trial registration ClinicalTrials.govNCT04569578. Prospectively registered on September 20, 2020. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06513-4.
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Affiliation(s)
- C Chen
- Department of Global Public Health, Karolinska Institutet, Solna, Sweden. .,Centre for Epidemiology and Community Medicine (CES), Region Stockholm, Stockholm, Sweden.
| | - V H Ahlqvist
- Department of Global Public Health, Karolinska Institutet, Solna, Sweden
| | - P Henriksson
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - J H Migueles
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.,PROFITH "PROmoting FITness and Health through physical activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - F Christiansen
- Department of Global Public Health, Karolinska Institutet, Solna, Sweden
| | - M R Galanti
- Department of Global Public Health, Karolinska Institutet, Solna, Sweden.,Centre for Epidemiology and Community Medicine (CES), Region Stockholm, Stockholm, Sweden
| | - D Berglind
- Department of Global Public Health, Karolinska Institutet, Solna, Sweden.,Centre for Epidemiology and Community Medicine (CES), Region Stockholm, Stockholm, Sweden
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Renneberg B, Schulze J, Böhme S, West SG, Schüz B. Effectiveness and equity evaluation of an insurance-wide telephone-counseling program for self-management of chronic diseases: The Health Coach Study. Appl Psychol Health Well Being 2021; 14:606-625. [PMID: 34796658 DOI: 10.1111/aphw.12322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 11/05/2021] [Indexed: 11/30/2022]
Abstract
Trajectories of chronic illnesses depend on patient socioeconomic status (SES). This study examines main and equity effects (age, gender, education, region of residence) of a brief telephone self-management intervention on self-rated health and depressive symptoms of health insurance clients with chronic illnesses. Randomized invitation design (n = 2628) with predominantly male (82%) older individuals (modal age = 65-74) with one or more chronic illnesses. Primary outcomes: Self-rated health and depressive symptoms. Intervention: Brief CBT-based telephone counseling. Propensity score matching was used to equate intervention and control groups (n = 1314 pairs). Change score models were used to analyze changes in health-related outcome measures. The intervention resulted in improvements in self-rated health (d = .37) and fewer depressive symptoms (d = .17) over 4 and 6 months. There were comparable effects across education and regions, but younger and female participants profited more from the intervention compared with older and male participants. A brief telephone-based intervention led to improved self-rated health and well-being in a large sample of participants with chronic health conditions. This effect was observed over and above regular medical care. The intervention was equitable with respect to education and region, but not age and gender.
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Affiliation(s)
- Babette Renneberg
- Department of Clinical Psychology and Psychotherapy, Freie Universität Berlin, Berlin, Germany
| | - Julian Schulze
- Division of Psychological Assessment, Differential and Personality Psychology, Freie Universität Berlin, Berlin, Germany
| | - Sylvia Böhme
- Department of Clinical Psychology and Psychotherapy, Freie Universität Berlin, Berlin, Germany
| | - Stephen G West
- Psychology Department, Arizona State University, Tempe, Arizona, USA
| | - Benjamin Schüz
- Institute for Public Health and Nursing Research, University of Bremen, Bremen, Germany
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Förster C, Haumann H, Schwill S, Bischoff M, Portenhauser F, Stengel S, Barzel A, Koch R, Joos S. [The Logic Model - a rationale for an encompassing evaluation framework of the German Competence Centers for Postgraduate Medical Education in general practice]. ZEITSCHRIFT FUR EVIDENZ FORTBILDUNG UND QUALITAET IM GESUNDHEITSWESEN 2021; 165:77-82. [PMID: 34474993 DOI: 10.1016/j.zefq.2021.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 06/04/2021] [Accepted: 08/02/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND The Competence Centers for Postgraduate Medical Education (KW) established throughout Germany represent complex programs to increase the efficiency and quality of postgraduate medical education in general practice. So-called Logic Models serve as the framework for evaluations and quality management processes of complex programs in many areas. The aim of this article is to develop such a model, using the example of the Competence Center in Baden-Württemberg (KWBW) in order to structure its complex program logic and use it as a framework for future evaluations and quality management processes. METHODS The adaptation of the Logic Model to the KWBW took place in an informal, nominal group process with employees and participants of the program. RESULTS We identified 76 core elements of the KWBW. These core elements were classified in one of the five pillars of the Logic Model (input, activity, output, outcome and impact) and categorized according to fields of action and target groups. DISCUSSION The Logic Model, which was developed using the KWBW as an example, identifies and structures important core elements of a complex postgraduate medical training program for the first time. It seems to be well suited for visualizing the internal logic of this complex program and the interaction of the various elements within the KWBW. It can thus be used as the basis for a comprehensive and systematic evaluation concept and for quality assurance. CONCLUSION The model is also a prerequisite for comparative research questions of other university programs for postgraduate medical education and thus offers an opportunity for cooperative development efforts. This article therefore contributes to promoting quality in continuing medical training.
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Affiliation(s)
- Christian Förster
- Universitätsklinikum Tübingen, Institut für Allgemeinmedizin und Interprofessionelle Versorgung, Tübingen, Deutschland.
| | - Hannah Haumann
- Universitätsklinikum Tübingen, Institut für Allgemeinmedizin und Interprofessionelle Versorgung, Tübingen, Deutschland
| | - Simon Schwill
- Universitätsklinikum Heidelberg, Abteilung für Allgemeinmedizin und Versorgungsforschung, Heidelberg, Deutschland
| | - Martina Bischoff
- Universitätsklinikum Freiburg, Institut für Allgemeinmedizin, Freiburg, Deutschland
| | | | - Sandra Stengel
- Universitätsklinikum Freiburg, Institut für Allgemeinmedizin, Freiburg, Deutschland
| | - Anne Barzel
- Universitätsklinikum Ulm, Institut für Allgemeinmedizin, Ulm, Deutschland
| | - Roland Koch
- Universitätsklinikum Tübingen, Institut für Allgemeinmedizin und Interprofessionelle Versorgung, Tübingen, Deutschland
| | - Stefanie Joos
- Universitätsklinikum Tübingen, Institut für Allgemeinmedizin und Interprofessionelle Versorgung, Tübingen, Deutschland
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Schüz B, Meyerhof H, Hilz LK, Mata J. Equity Effects of Dietary Nudging Field Experiments: Systematic Review. Front Public Health 2021; 9:668998. [PMID: 34368049 PMCID: PMC8342848 DOI: 10.3389/fpubh.2021.668998] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 06/25/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Dietary behaviours are among the key modifiable risk factors for non-communicable diseases. Importantly, dietary behaviours vary substantially between groups and individuals with different socioeconomic positions, with more disadvantaged groups and individuals being exposed to more dietary risk factors. The goal of this review is to summarise the existing research on equity effects of dietary nudging interventions. Methods: Systematic review of nudging interventions conducted in a field setting that report an observable indicator of dietary behaviour, include a control group, and report effect sizes stratified by indicators of socioeconomic status as outlined in the PROGRESS-Plus framework. Two databases (scopus, Pubmed) were searched (last search June 2021), and 18 articles with 19 studies (k = 46 equity comparisons) were included. Risk of bias was assessed using the ROBINS-I tool. Due to heterogeneity in equity dimensions and study outcomes, a harvest plot was used to summarise data. Results: The majority of equity comparisons (38 out of 46) were available for cognitive nudges. Most of these (22 out of 38 comparisons) found that cognitive nudges worked equally well in more and less disadvantaged populations; however, in 12 out of the 38 comparisons, they favoured those who were less disadvantaged. Two out of four comparisons on behavioural nudges favoured more disadvantaged persons. Conclusions: The differential effects of dietary nudging interventions in this review can contribute to increases in health inequalities. At the same time, a substantial number of interventions showed no equity effects. Importantly, this review suggests that more research on nudging interventions and health equity is needed. Future interventions should report effect sizes stratified by indicators of social inequality. Systematic Review Registration: PROSPERO (CRD42019137469).
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Affiliation(s)
- Benjamin Schüz
- Faculty 11, Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany
| | - Hannah Meyerhof
- Faculty 11, Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany
| | - Lisa Karla Hilz
- Faculty 11, Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany
| | - Jutta Mata
- Department of Psychology, University of Mannheim, Mannheim, Germany
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Czwikla G, Boen F, Cook DG, de Jong J, Harris T, Hilz LK, Iliffe S, Lechner L, Morris RW, Muellmann S, Peels DA, Pischke CR, Schüz B, Stevens M, Telkmann K, van Lenthe FJ, Vanderlinden J, Bolte G. Equity-specific effects of interventions to promote physical activity among middle-aged and older adults: results from applying a novel equity-specific re-analysis strategy. Int J Behav Nutr Phys Act 2021; 18:65. [PMID: 34001171 PMCID: PMC8130354 DOI: 10.1186/s12966-021-01131-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/28/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Reducing inequalities in physical activity (PA) and PA-associated health outcomes is a priority for public health. Interventions to promote PA may reduce inequalities, but may also unintentionally increase them. Thus, there is a need to analyze equity-specific intervention effects. However, the potential for analyzing equity-specific effects of PA interventions has not yet been sufficiently exploited. The aim of this study was to set out a novel equity-specific re-analysis strategy tried out in an international interdisciplinary collaboration. METHODS The re-analysis strategy comprised harmonizing choice and definition of outcomes, exposures, socio-demographic indicators, and statistical analysis strategies across studies, as well as synthesizing results. It was applied in a collaboration of a convenience sample of eight European PA intervention studies in adults aged ≥45 years. Weekly minutes of moderate-to-vigorous PA was harmonized as outcome. Any versus no intervention was harmonized as exposure. Gender, education, income, area deprivation, and marital status were harmonized as socio-demographic indicators. Interactions between the intervention and socio-demographic indicators on moderate-to-vigorous PA were analyzed using multivariable linear regression and random-effects meta-analysis. RESULTS The collaborative experience shows that the novel re-analysis strategy can be applied to investigate equity-specific effects of existing PA interventions. Across our convenience sample of studies, no consistent pattern of equity-specific intervention effects was found. Pooled estimates suggested that intervention effects did not differ by gender, education, income, area deprivation, and marital status. CONCLUSIONS To exploit the potential for equity-specific effect analysis, we encourage future studies to apply the strategy to representative samples of existing study data. Ensuring sufficient representation of 'hard to reach' groups such as the most disadvantaged in study samples is of particular importance. This will help to extend the limited evidence required for the design and prioritization of future interventions that are most likely to reduce health inequalities.
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Affiliation(s)
- Gesa Czwikla
- Department of Social Epidemiology, Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany.
- Health Sciences Bremen, University of Bremen, Bremen, Germany.
| | - Filip Boen
- Physical Activity, Sports & Health Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Derek G Cook
- Population Health Research Institute, St George's University of London, London, UK
| | - Johan de Jong
- School of Sports Studies, Hanze University of Applied Sciences, Groningen, The Netherlands
| | - Tess Harris
- Population Health Research Institute, St George's University of London, London, UK
| | - Lisa K Hilz
- Department of Social Epidemiology, Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany
- Health Sciences Bremen, University of Bremen, Bremen, Germany
| | - Steve Iliffe
- Research Department of Primary Care & Population Health, University College London, London, UK
| | - Lilian Lechner
- Faculty of Psychology, Open University, Heerlen, The Netherlands
| | - Richard W Morris
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Saskia Muellmann
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Denise A Peels
- Faculty of Psychology, Open University, Heerlen, The Netherlands
| | - Claudia R Pischke
- Institute of Medical Sociology, Centre for Health and Society, Medical Faculty, Heinrich Heine UniversityDuesseldorf, Duesseldorf, Germany
| | - Benjamin Schüz
- Health Sciences Bremen, University of Bremen, Bremen, Germany
- Department of Prevention and Health Promotion, Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany
| | - Martin Stevens
- Department of Orthopedics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Klaus Telkmann
- Department of Social Epidemiology, Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany
- Health Sciences Bremen, University of Bremen, Bremen, Germany
| | - Frank J van Lenthe
- Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Julie Vanderlinden
- Physical Activity, Sports & Health Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Gabriele Bolte
- Department of Social Epidemiology, Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany
- Health Sciences Bremen, University of Bremen, Bremen, Germany
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Schüz B. Psychologie und Public Health. Public Health 2021. [DOI: 10.1007/978-3-658-30377-8_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Schönbach JK, Bolte G, Czwikla G, Manz K, Mensing M, Muellmann S, Voelcker-Rehage C, Lhachimi SK. Equity impacts of interventions to increase physical activity among older adults: a quantitative health impact assessment. Int J Behav Nutr Phys Act 2020; 17:103. [PMID: 32795299 PMCID: PMC7427912 DOI: 10.1186/s12966-020-00999-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 07/21/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Behavioural interventions may increase social inequalities in health. This study aimed to project the equity impact of physical activity interventions that have differential effectiveness across education groups on the long-term health inequalities by education and gender among older adults in Germany. METHODS We created six intervention scenarios targeting the elderly population: Scenarios #1-#4 applied realistic intervention effects that varied by education (low, medium high). Under scenario #5, all older adults adapted the physical activity pattern of those with a high education. Under scenario #6, all increased their physical activity level to the recommended 300 min weekly. The number of incident ischemic heart disease, stroke and diabetes cases as well as deaths from all causes under each of these six intervention scenarios was simulated for males and females over a 10-year projection period using the DYNAMO-HIA tool. Results were compared against a reference-scenario with unchanged physical activity. RESULTS Under scenarios #1-#4, approximately 3589-5829 incident disease cases and 6248-10,320 deaths could be avoided among males over a 10-year projection period, as well as 4381-7163 disease cases and 6914-12,605 deaths among females. The highest reduction for males would be achieved under scenario #4, under which the intervention is most effective for those with a high education level. Scenario #4 realizes 2.7 and 2.4% of the prevented disease cases and deaths observed under scenario #6, while increasing inequalities between education groups. In females, the highest reduction would be achieved under scenario #3, under which the intervention is most effective amongst those with low levels of education. This scenario realizes 2.7 and 2.9% of the prevented disease cases and deaths under scenario #6, while decreasing inequalities between education groups. Under scenario #5, approximately 31,687 incident disease cases and 59,068 deaths could be prevented among males over a 10-year projection period, as well as 59,173 incident disease cases and 121,689 deaths among females. This translates to 14.4 and 22.2% of the prevented diseases cases among males and females under scenario #6, and 13.7 and 27.7% of the prevented deaths under scenario #6. CONCLUSIONS This study shows how the overall population health impact varies depending on how the intervention-induced physical activity change differs across education groups. For decision-makers, both the assessment of health impacts overall as well as within a population is relevant as interventions with the greatest population health gain might be accompanied by an unintended increase in health inequalities.
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Affiliation(s)
- Johanna-Katharina Schönbach
- University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, Bremen, Germany.
- University of Bremen, Health Sciences Bremen, Bremen, Germany.
| | - Gabriele Bolte
- University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, Bremen, Germany
- University of Bremen, Health Sciences Bremen, Bremen, Germany
| | - Gesa Czwikla
- University of Bremen, Institute of Public Health and Nursing Research, Department of Social Epidemiology, Bremen, Germany
- University of Bremen, Health Sciences Bremen, Bremen, Germany
| | | | | | - Saskia Muellmann
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Claudia Voelcker-Rehage
- Chemnitz University of Technology, Institute of Human Movement Science and Health, Chemnitz, Germany
- University of Münster, Institute of Sport and Exercise Sciences, Münster, Germany
| | - Stefan K Lhachimi
- University of Bremen, Health Sciences Bremen, Bremen, Germany
- University of Bremen, Institute of Public Health and Nursing Research, Department of Health Services Research, Bremen, Germany
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Equity-Specific Effects of Interventions to Promote Physical Activity among Middle-Aged and Older Adults: Development of a Collaborative Equity-Specific Re-Analysis Strategy. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16173195. [PMID: 31480561 PMCID: PMC6747170 DOI: 10.3390/ijerph16173195] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 08/23/2019] [Accepted: 08/28/2019] [Indexed: 01/01/2023]
Abstract
Reducing social inequalities in physical activity (PA) has become a priority for public health. However, evidence concerning the impact of interventions on inequalities in PA is scarce. This study aims to develop and test the application of a strategy for re-analyzing equity-specific effects of existing PA intervention studies in middle-aged and older adults, as part of an international interdisciplinary collaboration. This article aims to describe (1) the establishment and characteristics of the collaboration; and (2) the jointly developed equity-specific re-analysis strategy as a first result of the collaboration. To develop the strategy, a collaboration based on a convenience sample of eight published studies of individual-level PA interventions among the general population of adults aged ≥45 years was initiated (UK, n = 3; The Netherlands, n = 3; Belgium, n = 1; Germany, n = 1). Researchers from these studies participated in a workshop and subsequent e-mail correspondence. The developed strategy will be used to investigate social inequalities in intervention adherence, dropout, and efficacy. This will allow for a comprehensive assessment of social inequalities within intervention benefits. The application of the strategy within and beyond the collaboration will help to extend the limited evidence regarding the effects of interventions on social inequalities in PA among middle-aged and older adults.
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