The health equity in all policies (HEiAP) approach before and beyond the Covid-19 pandemic in the Italian context
Raffaella BucciardiniBenedetta ContoliPaola De CastroChiara DonfrancescoLoredana FalzanoRita Maria FerrelliA M GiammarioliBenedetta MattioliEmanuela MeddaValentina MinardiGiada MinelliLuigi PalmieriRoberto PasettoElisabetta PizziSilvia RossiAldina Venerosi
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Pandemic
Equity
2019-20 coronavirus outbreak
Health Services Research
China is faced with a daunting challenge to equality and efficiency in health resources allocation and health services utilization in the context of rapid economic growth. This study sought to evaluate the equality and efficiency of health resources allocation and health services utilization in China.Demographic, economic, and geographic area data was sourced from China Statistical Yearbook 2012-2016. Data related to health resources and health services was obtained from China Health Statistics Yearbook 2012-2016. Furthermore, we evaluated the equality of health resources allocation based on Gini coefficient. Concentration index was used to measure the equality in utilization of health services. Data envelopment analysis (DEA) was employed to assess the efficiency of health resources allocation.From 2011 to 2015, the Gini coefficients for health resources by population ranged between 0.0644 and 0.1879, while the Gini coefficients for the resources by geographic area ranged from 0.6136 to 0.6568. Meanwhile, the concentration index values for health services utilization ranged from -0.0392 to 0.2110. Moreover, in 2015, 10 provinces (32.26%) were relatively efficient in terms of health resources allocation, while 7 provinces (22.58%) and 14 provinces (45.16%) were weakly efficient and inefficient, respectively.There exist distinct regional disparities in the distribution of health resources in China, which are mainly reflected in the geographic distribution of health resources. Furthermore, the people living in the eastern developed areas are more likely to use outpatient care, while the people living in western underdeveloped areas are more likely to use inpatient care. Moreover, the efficiency of health resources allocation in 21 provinces (67.74%) of China was low and needs to be improved. Thus, the government should pay more attention to the equality based on geographic area, guide patients to choose medical treatment rationally, and optimize the resource investments for different provinces.
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Abstract In the 10 years since its founding, the Israel Journal of Health Policy Research has established itself as an important voice in Israeli and international health policy. The Journal’s ability to combine national and international perspectives on key issues in health services delivery and health systems analysis has developed a valuable new arena for academic research about the increasingly complex post-COVID future of health care systems.
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Background: Children and young people (CYP) with ongoing physical health conditions such as asthma are affected by mental health and social conditions.The current healthcare model designed for acute episodic illness delivers variable and poor outcomes, and demand is rising unsustainably.We present a population approach to healthcare delivering high quality preventive and responsive biopsychosocial care as part of clinical-academic health systems strengthening initiative, using data to inform a population registry for improving direct patient care and system intelligence for improving services.Study Question: Can data-driven population health management improve health outcomes and equity among children with ongoing conditions?Methods: An opportunistic cluster randomised control trial, measuring health, healthcare quality, and healthcare use between intervention and control, and before-after implementation.Population approach to case finding and improving equity of access to care will be assessed by comparing coverage and uptake rates with prevalence of health and population socio-economic conditions.Estimates of ED attendances prevented by comparing attendances in the quarter before and after receiving CYPHP care, using routine hospital administrative data.Results: The first wave of active case finding reached 90% eligible population; 11% participated in early intervention.Demographic and socio-economic characteristics of participants suggest this approach enhances equity of access to care; a high proportion of CYP from ethnic minority families and living in deprived conditions.Early results suggest improved healthcare quality and reductions in ED use among patients with asthma, epilepsy, or constipation.We estimate 288 fewer ED contacts per asthma 100 patients, per year, 120 for epilepsy, and 60 for constipation.Conclusions: A population approach to biopsychosocial care can improve early intervention and care among CYP with ongoing conditions.Health Policy Implications: Population health approaches to care can improve health, healthcare quality, and health service sustainability.Clinical academic partnerships and learning health systems are a successful means of strengthening health systems and improving health.
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There is an established body of evidence linking systems of social protection to health systems and health outcomes. The Sustainable Development Goals (SDGs) provide further emphasis on this linkage as necessary to achieving health and non-health goals. Existing literature on social protection and health has focused primarily on cash transfers. We sought to identify potential research priorities concerning social protection and health in low and middle-income countries, from multiple perspectives. Priority research questions were identified through two sources: 1) research reviews on social protection interventions and health, 2) interviews with 54 policy makers from Ministries of Health, multi-lateral or bilateral organizations, and NGOs. Data was collated and summarized using a framework analysis approach. The final refining and ranking of the questions was completed by researchers from around the globe through an online platform. The overview of reviews identified 5 main categories of social protection interventions: cash transfers; financial incentives and other demand side financing interventions; food aid and nutritional interventions; parental leave; and livelihood/social welfare interventions. Policy-makers focused on the implementation and practice of social protection and health, how social protection programs could be integrated with other sectors, and how they should be monitored/evaluated. A collated list resulted in 31 priority research questions. Scale and sustainability of social protection programs ranked highest. The top 10 research questions focused heavily on design, implementation, and context, with a range of interventions that included cash transfers, social insurance, and labor market interventions. There is potentially a rich field of enquiry into the linkages between health systems and social protection programs, but research within this field has focused on a few relatively narrowly defined areas. The SDGs provide an impetus to the expansion of research of this nature, with priority setting exercises such as this helping to align funder investment with researcher effort and policy-maker evidence needs.
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Equity is one of the major goals of China's recent health system reform. This study aimed to evaluate the equality of the distribution of health resources and health services between hospitals and primary care institutions. Data of this study were drawn from the China Health Statistical Year Books. We calculated Gini coefficients based on population size and geographic size, respectively, for the indicators: number of institutions, number of health workers and number of beds; and the concentration index (CI) for the indicators: per capita outpatient visits and annual hospitalization rates. The Gini coefficients against population size ranged between 0.17 and 0.44 in the hospital sector, indicating a relatively good equality. The primary care sector showed a slightly higher level of Gini coefficients (around 0.45) in the number of health workers. However, inequality was evident in the geographic distribution of health resources. The Gini coefficients exceeded 0.7 in the geographic distribution of institutions, health workers and beds in both the hospital and the primary care sectors, indicating high levels of inequality. The CI values of hospital inpatient care and outpatient visits to primary care institutions were small (ranging from -0.02 to 0.02), indicating good wealth-related equality. The CI values of outpatient visits to hospitals ranged from 0.16 to 0.21, indicating a concentration of services towards the richer populations. By contrast, the CI values of inpatient care in primary care institutions ranged from -0.24 to -0.22, indicating a concentration of services towards the poorer populations. The eastern developed region also had a high internal inequality compared with the other less developed regions. Significant inequality in the geographic distribution of health resources is evident, despite a more equitable per capita distribution of resources. Richer people are more likely to use well-resourced hospitals for outpatient care. By contrast, poorer people are more likely to use poorly-resourced primary care institutions for inpatient care. There is a risk of the emergence of a two-tiered health care delivery system.
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Abstract Background The vast investments that have been made in recent decades in new medicines, vaccines, and technologies will only lead to improvements in health if there are appropriate and well-functioning health systems to make use of them. However, despite the growing acceptance by major global donors of the importance of health systems, there is an enthusiasm gap when it comes to disbursing funds needed to understand the intricacies of how, why and when these systems deliver effective interventions. To understand the reasons behind this, we open up the black box of donor decision-making vis-à-vis Health Policy and Systems Research (HPSR) financing: what are the organizational processes behind the support for HPSR, and what are the barriers to increasing engagement? Methods We conducted 27 semi-structured interviews with staff of major global health funders, asking them about four key issues: motivations for HPSR financing; priorities in HPSR financing; barriers for increasing HPSR allocations; and challenges or opportunities for the future. We transcribed the interviews and manually coded responses. Results Our findings point to the growing appreciation that funders have of HPSR, even though it is often still seen as an ‘afterthought’ to larger programmatic interventions. In identifying barriers to funding HPSR, our informants emphasised the perceived lack of mandate and capacities of their organizations. For most funding organisations, a major barrier was that their leadership often voiced scepticism about HPSR’s long time horizons and limited ability to quantify results. Conclusion Meeting contemporary health challenges requires strong and effective health systems. By allocating more resources to HPSR, global donors can improve the quality of their interventions, and also contribute to building up a stock of knowledge that domestic policymakers and other funders can draw on to develop better targeted programmes and policies.
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Making effective health policy requires expert knowledge of an ever-changing technological, epidemiological, social, and economic context.One important vehicle for integrating expert research into the policy process is through linkages and exchanges between researchers and government officials [1].Many governments respond to this need for expert knowledge by using advisory boards that include academics.Many also integrate academic health policy researchers more fully into policymaking by making them short-term or long-term employees.Each of us (Sherry Glied, Raphael Wittenberg and Avi Israeli) has spent some time as an academic and as a regular member of a governmental policy-making body, in the US, England, and Israel, respectively.In this paper, we reflect on the lessons learned from our dual perspectives.
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Disparities in healthcare represent a failure in the equity domain of quality. Although disparities have been well documented, little has been written about how hospitals might use improved data collection and quality improvement techniques to eliminate disparities. This article describes early findings from the planning phase of the first hospital-based disparities collaborative. The authors also discuss the changes in policy and practice that may speed hospitals in placing disparities and equity on their quality agendas.
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The causes of health inequalities are complex. For the reduction of health inequalities, intersectoral collaboration between the public health sector and both social policy sectors (e.g. youth affairs, education) and physical policy sectors (e.g. housing, spatial planning) is essential, but in local practice difficult to realize. The aim of this study was to examine the collaboration between the sectors in question more closely and to identify opportunities for improvement. A qualitative descriptive analysis of five aspects of collaboration within sixteen Dutch municipalities was performed to examine the collaboration between the public health sector and other policy sectors: 1) involvement of the sectors in the public health policy network, 2) harmonisation of objectives, 3) use of policies by the relevant sectors, 4) formalised collaboration, and 5) previous experience. Empirical data on these collaboration aspects were collected based on document analysis, questionnaires and interviews. The study found that the policy workers of social sectors were more involved in the public health network and more frequently supported the objectives in the field of health inequality reduction. Both social policy sectors and physical policy sectors used policies and activities to reduce health inequalities. More is done to influence the determinants of health inequality through policies aimed at lifestyle and social setting than through policies aimed at socioeconomic factors and the physical environment. Where the physical policy sectors are involved in the public health network, the collaboration follows a very similar pattern as with the social policy sectors. All sectors recognise the importance of good relationships, positive experiences, a common interest in working together and coordinated mechanisms. This study shows that there is scope for improving collaboration in the field of health inequality reduction between the public health sector and both social policy sectors and physical policy sectors. Ways in which improvement could be realised include involving physical policy sectors in the network, pursuing widely supported policy goals, making balanced efforts to influence determinants of health inequalities, and increasing the emphasis on a programmatic approach.
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