| Literature DB >> 26845574 |
Agnes Molnar1, Emilie Renahy1, Patricia O'Campo1,2, Carles Muntaner2,3, Alix Freiler1, Ketan Shankardass1,2,4.
Abstract
BACKGROUND: In spite of increasing research into intersections of public policy and health, little evidence shows how policy processes impact the implementation of Health in All Policies (HiAP) initiatives. Our research sought to understand how and why strategies for engaging partners from diverse policy sectors in the implementation of HiAP succeed or fail in order to uncover the underlying social mechanisms contributing to sustainable implementation of HiAP.Entities:
Mesh:
Year: 2016 PMID: 26845574 PMCID: PMC4742077 DOI: 10.1371/journal.pone.0147003
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Conceptual Framework for Implementation of HiAP.
Activities associated with each step of the case study process.
| 3Step in Case Study Process | Activities | Description |
|---|---|---|
| Consult literature | Conduct selective review of grey and peer review literature for theories about sustaining HiAP initiatives | |
| Engage stakeholders and knowledge users | Consult with stakeholders and knowledge users about their experiences with HiAP and priorities for evidence needs | |
| Develop and prioritize hypotheses | Draw from literature and stakeholder engagement activities to develop cross-case hypotheses with a focus on knowledge user—priority issues | |
| Select cases | Select cases based on the i) period of initiation, | |
| Consult grey and peer-review literature | Collect literature on HiAP for each case that is relevant for the testing of hypotheses by undertaking a systematic search for grey and peer-review literature that is relevant for the testing of hypotheses. | |
| Conduct key informant interviews with HiAP experts | Identify HiAP experts with strong experience working on HiAP by undertaking a search for prominent authors of reports on the case as well as through snowball sampling. Confirm expertise and experience through screening potential interviewees. Inquire about evidence related to the hypotheses by using a semi-structured interview guide, and transcribing the interview for systematic coding of the data. | |
| Code literature and interview transcripts for evidence on hypotheses; Summarize findings by hypotheses | Code and summarize all interview transcripts and literature for evidence on hypotheses, specifically by looking for data on context-mechanism-outcome configurations | |
| Assess for quality and strength of evidence | Describe evidence according to strength (ie., whether the mechanism is supported by at least 2 sources of evidence) and triangulation of evidence (ie., whether the mechanism is supported by both interview and literature sources). | |
| Produce single case study report | Summarize case background, methods and findings into a single case report; undertake member checking by sharing findings with advisory group of policymakers | |
| Synthesize findings for each hypothesis across single case study reports to draw cross-case conclusions | Use results on support for hypotheses from single case studies to (i) categorize cases as theoretical replications or contrasts for each hypothesis and (ii) synthesize findings for each hypothesis across cases to draw cross-case conclusions; undertake member checking by sharing findings with advisory group | |
| Modify initial theory and hypotheses | Use findings and compare to initial theory to make modifications based on cross-case findings |
1 To minimize recall bias, cases should have engaged in the implementation of HiAP within the past seven years, but within 2–3 of initiation since it typically take time for implementation to develop after the initial mandate for HiAP.
2 Search strategy included in S1 File.
Initial hypotheses tested through our case study evidence.
| In order for a government sector or non-governmental partner to engage in HiAP implementation, awareness of the need and reasons for an intersectoral approach to address health equity is sufficient. | |
| Beyond having an awareness of the need and reasons for an intersectoral approach to address health equity, a directive approach (ie., focused on health targets) is necessary to engage a government sector or non-governmental partner in HiAP implementation. | |
| Beyond having an awareness of the need and reasons for an intersectoral approach to address health equity, a win-win approach (ie., focused on sector/partner-specific motivations and outcomes) is necessary to engage a government sector or non-governmental partner in HiAP implementation. |
Contextual factors during the study period of the three case studies.
| Contextual Factors | Sweden | Quebec | South Australia |
|---|---|---|---|
| Legislated in Swedish Public Health Objectives Bill, 2003 | Legislated in Public Health Act, 2002 | Strategy, 2008 | |
| Minister of Health with directors-general of “concerned agencies” guides national-, regional- and local-level intersectoral health coordination with regards to the health policy. | All prospective policies that may impact population health must pass through a health impact assessment administered by the Ministère de la Santé et de Services sociaux (MSSS). | Health lens analyses are used to help government sectors meet targets laid out in the South Australia Strategic Plan (SASP) (2004, amendment in 2011) | |
| Inter-ministerial committee guides national-, regional- and local-level intersectoral health coordination with regards to the health policy; Swedish National Institute of Public Health works with sectors to implement health impact assessments | Inter-ministerial committee whose purpose is raise awareness and educate to each Ministry about the implementation of Section 54; MSSS serves as advisory to ministry proposing policy; Institut national de santé publique du Québec works with sectors to implement health impact assessments | Chief Executives of the Department of the Premier and Cabinet engages governmental sectors to partner with health sector on SASP target; Health in All Policies Unit within the Health Department works with sectors to implement health lens analyses | |
| Country, county, local | Province, region, municipality | State, local |
Number, job titles, and jurisdictions for key informants interviewed in Sweden, South Australia and Quebec.
| Case | Number and job titles of key informants | Jurisdiction |
|---|---|---|
| 14: Politicians, public health experts, civil servants, academics, non-governmental organization employees | 6 national, 8 local | |
| 14: civil servants, public health experts, politicians | 5 provincial, 9 regional/local | |
| 14: civil servants, public health experts, sustainability planner, public intellectual | 11 state, 3 regional/local |
Availability of evidence by jurisdiction for each case on win-win mechanisms and the strength of support for each mechanism area.
| Win-win mechanisms and resources | Evidence from jurisdictions | Support for evidence | |||
|---|---|---|---|---|---|
| Sweden | Quebec | South Australia | Strength | Triangulation | |
| Local | provincial, regional, local | state | strong | adequate | |
| Local | - | state, local | strong | moderate | |
| national, local | - | - | strong | moderate | |
| Local | provincial | state | strong | adequate | |
| - | provincial | state | strong | adequate | |
| Local | provincial | state, local | strong | adequate | |
| national, local | - | state, regional | strong | adequate | |
| - | - | state | strong | moderate | |
| regional, local | - | - | strong | poor | |
| Local | local | local | strong | adequate | |
| - | - | state, local | strong | adequate | |
| - | - | state | strong | adequate | |
1 Strength of Evidence: The degree of support for the main/rival hypothesis across sources of evidence. Strong: Support is strong when there are at least 2 thick (rich and detailed descriptions) sources. Weak: Support is weak when there are fewer than 2 thick sources.
2 Triangulation: Evidence that is supported by multiple sources (ie., literature and interviews). Adequate: Strong evidence from both literature and interview. Low: Strong evidence from only one source (ie., literature or interviews). Poor: No strong evidence.
Fig 2Refined Conceptual Framework–Agenda setting.
Fig 3Refined Conceptual Framework–Capacity building.