The gradient in health inequalities among families and children: A review of evaluation frameworks

Davies, John; Sherriff, Nigel

doi:10.1016/j.healthpol.2010.09.015

Cited by 24 publications

(26 citation statements)

References 36 publications

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“…Since it is widely acknowledged that most health inequalities are avoidable, it has become generally accepted that health promotion can play a major role in tackling these inequalities. However, what remains less clear is which health promotion approaches are most effective to reduce health inequalities (Davies and Sherriff 2011;. While it is clear that it is necessary to move away from an exclusive focus on pathogenic (disease-based) approaches, salutogenic health promotion approaches (focusing on factors that support health and wellbeing rather than on factors that cause disease) that are more effective in addressing health inequalities must be identified and tested out to help identify what works, for whom, and under which circumstances .…”

Section: Health Promotion and Health Inequalitiesmentioning

confidence: 99%

Building capacity to reduce health inequalities through health promotion in Europe

et al. 2015

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Aim: Whilst considerable attention has been paid to describing and measuring health inequalities, relatively little attention has been paid to ways to effectively reduce health inequalities within and among populations. This paper presents a conceptual framework for capacity building to assist stakeholders at the regional level within Europe to maximise the potential of healthy public policies and practices to reduce these inequalities, as a core part of strategic action plans to access European Structural Funds. Subject and Methods:Within the ACTION-FOR-HEALTH (A4H) project co-funded by the European Commission (EC), a conceptual framework for capacity building to reduce health inequalities was developed and evaluated. The evaluation design adopted mixed methods involving a series of focus groups (n=22), interviews (n=14) and questionnaires (n=34) involving the project partners.Results: We present the A4H conceptual framework that is based on a series of capacity building actions comprising three key areas: (1) developing knowledge and skills; (2) building partnerships, and; (3) creating action plans. The evaluation data shows that the project contributed to enhancing capacities in all three of these areas, at the regional, organisational, and individual levels. Conclusion:Focusing mostly on building capacities, the A4H project has the potential to have several sustainable outcomes. Our results underscore the importance of the capacity building approach for the reduction of health inequalities in Europe.

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Section: Health Promotion and Health Inequalitiesmentioning

confidence: 99%

Building capacity to reduce health inequalities through health promotion in Europe

et al. 2015

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“…In addition to selecting cases, institutional change theory is used to better understand and explain the reform process. Without this theoretical approach, it is harder for researchers to know what they are looking at, i.e., the relevance of particular agency officials, their interaction with other officials and the international community [13]. …”

Section: Methodsmentioning

confidence: 99%

“…In contrast to path dependency, historical analysis is not as important; rather, the confluence of interactions between endogenous actors and exogenous conditions is (Mahoney and Thelen [12,14]). For example, a process of institutional conversion explains how individuals within institutions use changes in the environment, such as international criticisms and pressures, as well as supportive external allies to re-shape and use existing institutions and policy procedures for alternative, more effective policy ends (ibid; [13]). Alternatively, an instance of institutional displacement occurs when individuals within institutions work with supporters outside of their institutions and use similar changes in the environment to completely transform their institution’s formal design and policy objectives [12].…”

Section: Methodsmentioning

confidence: 99%

“…At this stage, the researcher may choose from the aforementioned menu of institutional change theories, such as conversion, displacement, and de-legitimacy , to more accurately explain why and how these agencies transformed. Using institutional change theory and its causal mechanisms helps to organize and make sense of the complex interplay between exogenous and endogenous conditions, agency interests, and reform strategies [2,13]. …”

Section: Methodsmentioning

confidence: 99%

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Proposing a sequential comparative analysis for assessing multilateral health agency transformation and sustainable capacity: exploring the advantages of institutional theory

Gómez

2014

Globalization and Health

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BackgroundThis article proposes an approach to comparing and assessing the adaptive capacity of multilateral health agencies in meeting country and individual healthcare needs. Most studies comparing multilateral health agencies have failed to clearly propose a method for conducting agency comparisons.MethodsThis study conducted a qualitative case study methodological approach, such that secondary and primary case study literature was used to conduct case study comparisons of multilateral health agencies.ResultsThrough the proposed Sequential Comparative Analysis (SCA), the author found a more effective way to justify the selection of cases, compare and assess organizational transformative capacity, and to learn from agency success in policy sustainability processes.ConclusionsTo more affectively understand and explain why some multilateral health agencies are more capable of adapting to country and individual healthcare needs, SCA provides a methodological approach that may help to better understand why these agencies are so different and what we can learn from successful reform processes. As funding challenges continue to hamper these agencies' adaptive capacity, learning from each other will become increasingly important.

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“…However, population segmentation approaches are only more recently being used by public sector agencies in areas such as health (Sanky et al, 2012;Gracia-Marco et al, 2011), social services (Davies and Sherriff, 2011;Abendstern et al, 2011), and public health (Demydas, 2011).…”

Section: Population Segmentation Modellingmentioning

confidence: 99%

Community fire prevention via population segmentation modelling

et al. 2015

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In this paper we examine the use of population segmentation modelling for targeting fire prevention to the needs of the community. A population segmentation approach based upon socio-economic characteristics data was developed to provide a deeper understanding of the fire risks associated with different social groups by a partnership consisting of a UK fire and rescue service, a National Health Service trust, a local council, and a police force. This approach supported more targeted and co-ordinated community fire prevention measures by the agencies involved. This approach was used to target those most at risk, and improve intra-agency co-ordination and collaboration between the agencies involved. The modelling enabled differences in terms of the risk of fire related injuries and fatalities between the population segments to be examined. Overall, the research examines how and why population segmentation was undertaken by the fire and rescue service studied, and how this was implemented and used operationally to support fire prevention activities. The project was funded by the UK Department of Communities and Local Government.

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The gradient in health inequalities among families and children: A review of evaluation frameworks

Cited by 24 publications

References 36 publications

Building capacity to reduce health inequalities through health promotion in Europe

Building capacity to reduce health inequalities through health promotion in Europe

Proposing a sequential comparative analysis for assessing multilateral health agency transformation and sustainable capacity: exploring the advantages of institutional theory

Community fire prevention via population segmentation modelling

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