How can Health in All Policies approaches support the transition to the well-being economy?

Health in All Policies approaches support the integration of health considerations into the policies of traditionally siloed governance systems. These siloed systems are often ignorant of the fact that health is created outside of the health system and starts long before you see a health professional. Thus, the purpose of Health in All Policies approaches is to raise the importance of the broad-based impacts on health from these public policies and to implement healthy public policy that delivers human rights for all. This approach requires significant adjustments to current economic and social policy settings. A well-being economy similarly aspires to create policy incentives that increase the importance of social and non-monetized outcomes, such as increased social cohesion environmental sustainability and health. These outcomes can evolve deliberately alongside economic benefits and are impacted by economic and market activities. The principles and functions underpinning Health in All Policies approaches, such as joined-up policy making can be helpful to transition towards a well-being economy. Governments will need to move beyond the currently held principle of "economic growth and profit above all else" if countries are to tackle growing societal inequity and catastrophic climate changes. Rapid digitization and globalization have further entrenched the focus on monetary economic outcomes rather than other aspects of human welfare. This has created an increasingly difficult context within which to prioritize social policies and efforts aimed to achieve primarily social and not profit-oriented goals. In the face of this larger context, alone, Health in All Policies approaches will not bring about the needed transformation to achieve healthy populations and economic transition. However, Health in All Policies approaches do offer lessons and a rationale that is aligned with, and can support the transition to, a well-being economy. Transforming current economic approaches to a well-being economy is imperative to achieve equitable population health, social security and climate sustainability.

Integrating Social Determinants in Decision-Making Processes for Health: Insights from Conceptual Frameworks-the 3-D Commission.

The inclusion of social determinants of health offers a more comprehensive lens to fully appreciate and effectively address health. However, decision-makers across sectors still struggle to appropriately recognise and act upon these determinants, as illustrated by the ongoing COVID-19 pandemic. Consequently, improving the health of populations remains challenging. This paper seeks to draw insights from the literature to better understand decision-making processes affecting health and the potential to integrate data on social determinants. We summarised commonly cited conceptual approaches across all stages of the policy process, from agenda-setting to evaluation. Nine conceptual approaches were identified, including two frameworks, two models and five theories. From across the selected literature, it became clear that the context, the actors and the type of the health issue are critical variables in decision-making for health, a process that by nature is a dynamic and adaptable one. The majority of these conceptual approaches implicitly suggest a possible role for data on social determinants of health in decision-making. We suggest two main avenues to make the link more explicit: the use of data in giving health problems the appropriate visibility and credibility they require and the use of social determinants of health as a broader framing to more effectively attract the attention of a diverse group of decision-makers with the power to allocate resources. Social determinants of health present opportunities for decision-making, which can target modifiable factors influencing health-i.e. interventions to improve or reduce risks to population health. Future work is needed to build on this review and propose an improved, people-centred and evidence-informed decision-making tool that strongly and explicitly integrates data on social determinants of health.

Improving Decision-Making for Population Health in Nonhealth Sectors in Urban Environments: the Example of the Transportation Sector in Three Megacities-the 3-D Commission.

Noncommunicable diseases (NCDs) represent a significant global public health burden. As more countries experience both epidemiologic transition and increasing urbanization, it is clear that we need approaches to mitigate the growing burden of NCDs. Large and growing urban environments play an important role in shaping risk factors that influence NCDs, pointing to the ineluctable need to engage sectors beyond the health sector in these settings if we are to improve health. By way of one example, the transportation sector plays a critical role in building and sustaining health outcomes in urban environments in general and in megacities in particular. We conducted a qualitative comparative case study design. We compared Bus Rapid Transit (BRT) policies in 3 megacities-Lagos (Africa), Bogotá (South America), and Beijing (Asia). We examined the extent to which data on the social determinants of health, equity considerations, and multisectoral approaches were incorporated into local politics and the decision-making processes surrounding BRT. We found that all three megacities paid inadequate attention to health in their agenda-setting, despite having considerable healthy transportation policies in principle. BRT system policies have the opportunity to improve lifestyle choices for NCDs through a focus on safe, affordable, and effective forms of transportation. There are opportunities to improve decision-making for health by involving more available data for health, building on existing infrastructures, building stronger political leadership and commitments, and establishing formal frameworks to improve multisectoral collaborations within megacities. Future research will benefit from addressing the political and bureaucratic processes of using health data when designing public transportation services, the political and social obstacles involved, and the cross-national lessons that can be learned from other megacities.

Priority-setting for achieving universal health coverage.

Governments in low- and middle-income countries are legitimizing the implementation of universal health coverage (UHC), following a United Nation's resolution on UHC in 2012 and its reinforcement in the sustainable development goals set in 2015. UHC will differ in each country depending on country contexts and needs, as well as demand and supply in health care. Therefore, fundamental issues such as objectives, users and cost-effectiveness of UHC have been raised by policy-makers and stakeholders. While priority-setting is done on a daily basis by health authorities - implicitly or explicitly - it has not been made clear how priority-setting for UHC should be conducted. We provide justification for explicit health priority-setting and guidance to countries on how to set priorities for UHC.

Les gouvernements des pays à revenu faible et intermédiaire sont en train de légitimer la mise en place de la couverture sanitaire universelle (CSU), suite à une résolution des Nations Unies de 2012 sur la CSU et à son entérinement dans les objectifs de développement durable fixés en 2015. La CSU variera selon les pays, en fonction de leur contexte et de leurs besoins, ainsi qu'en fonction de la demande et de l'offre de soins. Des questions fondamentales ont ainsi été soulevées par les responsables politiques et les parties prenantes, portant notamment sur les objectifs, les utilisateurs et le rapport coût-efficacité de la CSU. Si les autorités sanitaires déterminent quotidiennement des priorités, de façon implicite ou explicite, la marche à suivre pour définir les priorités en matière de CSU n'a pas été clairement établie. Nous justifions ici la nécessité de définir explicitement les priorités dans le domaine de la santé tout en donnant des orientations aux pays pour définir les priorités en matière de CSU.

Los gobiernos de países con ingresos bajos y medios están legitimando la implementación de una cobertura sanitaria universal (CSU) tras un acuerdo de las Naciones Unidas acerca de la cobertura sanitaria universal en 2012 y su consolidación en los objetivos de desarrollo sostenible establecidos en 2015. Cada país tendrá una cobertura sanitaria universal distinta, según el contexto y las necesidades de cada uno, así como la oferta y la demanda de atención sanitaria. Por tanto, los responsables políticos y partes interesadas han abordado los asuntos fundamentales como los objetivos, los usuarios y la rentabilidad de la cobertura sanitaria universal. A pesar de que las autoridades sanitarias han establecido prioridades diarias (de forma implícita o explícita), no se ha aclarado cómo se debería gestionar el establecimiento de prioridades para la cobertura sanitaria universal. Se ofrece una justificación para el establecimiento de prioridades sanitarias explícitas y orientación a los países en la definición de prioridades para la cobertura sanitaria universal.

An assessment of progress towards universal health coverage in Brazil, Russia, India, China, and South Africa (BRICS).

Brazil, Russia, India, China, and South Africa (BRICS) represent almost half the world's population, and all five national governments recently committed to work nationally, regionally, and globally to ensure that universal health coverage (UHC) is achieved. This analysis reviews national efforts to achieve UHC. With a broad range of health indicators, life expectancy (ranging from 53 years to 73 years), and mortality rate in children younger than 5 years (ranging from 10·3 to 44·6 deaths per 1000 livebirths), a review of progress in each of the BRICS countries shows that each has some way to go before achieving UHC. The BRICS countries show substantial, and often similar, challenges in moving towards UHC. On the basis of a review of each country, the most pressing problems are: raising insufficient public spending; stewarding mixed private and public health systems; ensuring equity; meeting the demands for more human resources; managing changing demographics and disease burdens; and addressing the social determinants of health. Increases in public funding can be used to show how BRICS health ministries could accelerate progress to achieve UHC. Although all the BRICS countries have devoted increased resources to health, the biggest increase has been in China, which was probably facilitated by China's rapid economic growth. However, the BRICS country with the second highest economic growth, India, has had the least improvement in public funding for health. Future research to understand such different levels of prioritisation of the health sector in these countries could be useful. Similarly, the role of strategic purchasing in working with powerful private sectors, the effect of federal structures, and the implications of investment in primary health care as a foundation for UHC could be explored. These issues could serve as the basis on which BRICS countries focus their efforts to share ideas and strategies.

[Equity-oriented monitoring in the context of universal health coverage]. / El monitoreo orientado a la equidad en el contexto de la cobertura universal de salud.

Monitoring inequalities in health is fundamental to the equitable and progressive realization of universal health coverage (UHC). A successful approach to global inequality monitoring must be intuitive enough for widespread adoption, yet maintain technical credibility. This article discusses methodological considerations for equity-oriented monitoring of UHC, and proposes recommendations for monitoring and target setting. Inequality is multidimensional, such that the extent of inequality may vary considerably across different dimensions such as economic status, education, sex, and urban/rural residence. Hence, global monitoring should include complementary dimensions of inequality (such as economic status and urban/rural residence) as well as sex. For a given dimension of inequality, subgroups for monitoring must be formulated taking into consideration applicability of the criteria across countries and subgroup heterogeneity. For economic-related inequality, we recommend forming subgroups as quintiles, and for urban/rural inequality we recommend a binary categorization. Inequality spans populations, thus appropriate approaches to monitoring should be based on comparisons between two subgroups (gap approach) or across multiple subgroups (whole spectrum approach). When measuring inequality absolute and relative measures should be reported together, along with disaggregated data; inequality should be reported alongside the national average. We recommend targets based on proportional reductions in absolute inequality across populations. Building capacity for health inequality monitoring is timely, relevant, and important. The development of high-quality health information systems, including data collection, analysis, interpretation, and reporting practices that are linked to review and evaluation cycles across health systems, will enable effective global and national health inequality monitoring. These actions will support equity-oriented progressive realization of UHC.

Equity-oriented monitoring in the context of universal health coverage.

Monitoring inequalities in health is fundamental to the equitable and progressive realization of universal health coverage (UHC). A successful approach to global inequality monitoring must be intuitive enough for widespread adoption, yet maintain technical credibility. This article discusses methodological considerations for equity-oriented monitoring of UHC, and proposes recommendations for monitoring and target setting. Inequality is multidimensional, such that the extent of inequality may vary considerably across different dimensions such as economic status, education, sex, and urban/rural residence. Hence, global monitoring should include complementary dimensions of inequality (such as economic status and urban/rural residence) as well as sex. For a given dimension of inequality, subgroups for monitoring must be formulated taking into consideration applicability of the criteria across countries and subgroup heterogeneity. For economic-related inequality, we recommend forming subgroups as quintiles, and for urban/rural inequality we recommend a binary categorization. Inequality spans populations, thus appropriate approaches to monitoring should be based on comparisons between two subgroups (gap approach) or across multiple subgroups (whole spectrum approach). When measuring inequality absolute and relative measures should be reported together, along with disaggregated data; inequality should be reported alongside the national average. We recommend targets based on proportional reductions in absolute inequality across populations. Building capacity for health inequality monitoring is timely, relevant, and important. The development of high-quality health information systems, including data collection, analysis, interpretation, and reporting practices that are linked to review and evaluation cycles across health systems, will enable effective global and national health inequality monitoring. These actions will support equity-oriented progressive realization of UHC.

Mandatory Warning Signs for Cannabis: Perspectives and Preferences of Pregnant and Recently Pregnant People Who Use Cannabis.

BACKGROUND: Five U.S. states where recreational cannabis is legal require Mandatory Warning Signs for cannabis use during pregnancy (MWS-cannabis) to be posted in cannabis dispensaries. Previous research has found adverse health consequences associated with MWS-cannabis and that people lack trust in information on signs. This qualitative study explores people's perspectives and preferences regarding MWS-cannabis. METHODS: We conducted in-depth interviews with 34 pregnant or recently pregnant individuals from multiple states with varying policy climates in the U.S. who used cannabis before and/or during pregnancy. We asked participants about their perspectives on MWS-cannabis and reactions to specific messages. We reviewed transcripts using thematic analysis. RESULTS: Participants reported mostly negative views on MWS-cannabis, suggesting they may have stigmatizing and negative impacts on pregnant people who use cannabis, discouraging them from seeking care. Many said that the scientific evidence is not strong enough to justify MWS-cannabis, and that they are unlikely to deter pregnant people from using cannabis. Participants asserted that vague or fear-based messages, distrust of government, and the location and timing of the signs undermine the goals of MWS-cannabis. When reacting to specific messages, participants preferred messages that are evidence-based, clear, specific, and aligned with autonomous decision-making. CONCLUSIONS: Pregnant and recently pregnant people who use cannabis have mostly negative perceptions of MWS-cannabis and believe they have negative consequences. More work is needed to develop health information resources that meet the needs of people who use cannabis in pregnancy without increasing stigma.

Sharing the British National Health Service around the world: a self-interested perspective.

As the UK reiterates its commitment to protecting and growing its development aid budget amidst an adverse economic environment for the UK and Europe, we discuss the potential to use the country's National Health Service (NHS) model as a vehicle for promoting the country's economic as well as global health diplomacy and development priorities, through a coordinated cross-government plan of action. With the country's Prime Minister serving as a co-chair of the UN post-2015 development agenda panel,a this is a unique opportunity for the UK to put forward its health system architecture as a highly applicable and well-tested model for providing access to efficient and cost-effective care, with minimal financial hardship. Arguably, such a model tailored to the needs of specific countries could consequently lead to commercial opportunities for UK plc. in areas such as consulting, training, education and healthcare products. Finally, this approach would be consistent with the current thinking on the evolving role of UK aid, especially in the case of emerging powers such as India, where the focus has shifted from aid to investment in technical assistance and cooperation as a means of boosting bilateral business and trade.

[Barriers and facilitators to antenatal care in adolescents: results of a qualitative study in Chile]. / Barreras y facilitadores para el control prenatal en adolescentes: resultados de un estudio cualitativo en Chile.

OBJECTIVE: Analyze barriers and facilitators of access to prenatal care in pregnant urban adolescents between 15-19 years of age in Santiago, Chile. MATERIALS AND METHODS: Qualitative study based on grounded theory with 17 adolescent mothers. Eleven semi-structured interviews and one focus group were conducted. RESULT: . The denial and concealment of pregnancy is the main barrier to start the prenatal care in the "delayed access group". This group does not identify facilitators. For maintenance in antenatal care, all participants identified a support figure as a facilitator. Family and social vulnerabilities explain why some adolescents start the prenatal care late. CONCLUSION: The presence of facilitators is crucial for both, the timely entry and the maintenance in antenatal care because they reduce or nullify the effect of barriers. The health system must become a facilitator to accompany adolescents and promote a bond of trust and respect.

Integrating social determinants of health in the universal health coverage monitoring framework.

Underpinning the global commitment to universal health coverage (UHC) is the fundamental role of health for well-being and sustainable development. UHC is proposed as an umbrella health goal in the post-2015 sustainable development agenda because it implies universal and equitable effective delivery of comprehensive health services by a strong health system, aligned with multiple sectors around the shared goal of better health. In this paper, we argue that social determinants of health (SDH) are central to both the equitable pursuit of healthy lives and the provision of health services for all and, therefore, should be expressly incorporated into the framework for monitoring UHC. This can be done by: (a) disaggregating UHC indicators by different measures of socioeconomic position to reflect the social gradient and the complexity of social stratification; and (b) connecting health indicators, both outcomes and coverage, with SDH and policies within and outside of the health sector. Not locating UHC in the context of action on SDH increases the risk of going down a narrow route that limits the right to health to coverage of services and financial protection.

Socioeconomic inequality in malnutrition in developing countries.

OBJECTIVE: The objectives of this study were to report on socioeconomic inequality in childhood malnutrition in the developing world, to provide evidence for an association between socioeconomic inequality and the average level of malnutrition, and to draw attention to different patterns of socioeconomic inequality in malnutrition. METHODS: Both stunting and wasting were measured using new WHO child growth standards. Socioeconomic status was estimated by principal component analysis using a set of household assets and living conditions. Socioeconomic inequality was measured using an alternative concentration index that avoids problems with dependence on the mean level of malnutrition. FINDINGS: In almost all countries investigated, stunting and wasting disproportionately affected the poor. However, socioeconomic inequality in wasting was limited and was not significant in about one third of countries. After correcting for the concentration index's dependence on mean malnutrition, there was no clear association between average stunting and socioeconomic inequality. The latter showed different patterns, which were termed mass deprivation, queuing and exclusion. Although average levels of malnutrition were higher with the new WHO reference standards, estimates of socioeconomic inequality were largely unaffected by changing the growth standards. CONCLUSION: Socioeconomic inequality in childhood malnutrition existed throughout the developing world, and was not related to the average malnutrition rate. Failure to tackle this inequality is a cause of social injustice. Moreover, reducing the overall rate of malnutrition does not necessarily lead to a reduction in inequality. Policies should, therefore, take into account the distribution of childhood malnutrition across all socioeconomic groups.

Malnutrition and the disproportional burden on the poor: the case of Ghana.

BACKGROUND: Malnutrition is a major public health and development concern in the developing world and in poor communities within these regions. Understanding the nature and determinants of socioeconomic inequality in malnutrition is essential in contemplating the health of populations in developing countries and in targeting resources appropriately to raise the health of the poor and most vulnerable groups. METHODS: This paper uses a concentration index to summarize inequality in children's height-for-age z-scores in Ghana across the entire socioeconomic distribution and decomposes this inequality into different contributing factors. Data is used from the Ghana 2003 Demographic and Health Survey. RESULTS: The results show that malnutrition is related to poverty, maternal education, health care and family planning and regional characteristics. Socioeconomic inequality in malnutrition is mainly associated with poverty, health care use and regional disparities. Although average malnutrition is higher using the new growth standards recently released by the World Health Organization, socioeconomic inequality and the associated factors are robust to the change of reference population. CONCLUSION: Child malnutrition in Ghana is a multisectoral problem. The factors associated with average malnutrition rates are not necessarily the same as those associated with socioeconomic inequality in malnutrition.