Consuming research, producing policy?

Individual and clinical factors associated with patient acceptance of referrals to social services and community resources at a multi-purpose resource hub

Emerging evidence suggests that bi-directional communication and referral pathways, when employed strategically, can lead to favorable health outcomes by connecting patients with complex, multi-faceted health and social needs to appropriate services and resources. However, despite these benefits, patient acceptance of referrals via these pathways remains suboptimal. In this study, we describe individual and clinical factors associated with patient acceptance of these referrals. We extracted individual-level demographic and clinical data for patients referred primarily from a large safety-net health system to a multi-purpose resource hub co-located on the campus of its largest hospital, for the period October 2019 to June 2023. Descriptive statistics, Chi-square analyses, and multinomial regression modeling were performed to examine these data. Of 1865 patients in the study sample, 54.2% accepted a referral, 27.4% were lost to follow-up, and 18.4% declined. Most patients who accepted referrals were female (67.1%), Latino (81.5%), and had hypertension and/or prediabetes or diabetes (84.1%). In modeling analyses, those who accepted referrals tended to be female, and were referred from primary care clinics; many were referred for multiple service/resource categories. We found associations between patient acceptance of referrals and gender and source of referral. Drawing upon these results as well as experience implementing these systems, we propose several practical strategies for increasing successful referrals, including identifying and addressing barriers for patients who declined or were lost to follow-up; using standardized screening tools to routinely assess for multi-faceted health and social needs; increasing provider awareness about the benefits and functioning of these pathways; and monitoring progress so mid-course adjustments can be made when necessary.

A Socioecological Model of Heart Failure Self-Care

Heart failure is a chronic, progressively worsening condition afflicting more than 64 million individuals worldwide. Heart failure outcomes are influenced by self-care, a naturalistic patient-centered decision-making process. The situation-specific theory of heart failure self-care addresses how this decision-making process determines actions and outcomes. However, little is known about the impact of socioecological determinants of health on heart failure self-care. A theoretical synthesis could advance the situation-specific theory of heart failure self-care through the inclusion of socioecological determinants of health. Thus, socioecological determinants of health related to heart failure self-care can be better explored, understood, and overcome through research and health promotion.

Regular Exercise and Weight-Control Behavior Are Protective Factors against Osteoporosis for General Population: A Propensity Score-Matched Analysis from Taiwan Biobank Participants

The rising prevalence of osteoporosis, which can lead to osteoporotic fractures, increases morbidity, mortality, and socioeconomic burden. Multiple factors influencing bone mass have already been identified. The aim of this study was to investigate whether exercise habits and weight-control behaviors can lower the incidence of osteoporosis in the general population. This retrospective study recruited all participants aged 35–70 years who underwent dual-energy X-ray absorptiometry (DXA) from Taiwan Biobank (TWB). The final analysis consisted of 3320 eligible participants divided into two groups; demographic characteristics, prevalence of clinical symptoms, comorbidities, and daily behavior were collected using a self-reported questionnaire. After propensity score matching with a 1:1 ratio, 1107 out of 2214 individuals were classified into the osteoporosis group. Age, body fat rate, body shape, diabetes mellitus, and social status were found to affect the incidence of osteoporosis. Subjects with a habit of regular exercise and weight-control behavior showed decreased odds of osteoporosis. (odds ratio: 0.709 and 0.753, 95% confidence interval: 0.599–0.839 and 0.636–0.890). In the general population, regular exercise or weight-control behavior lowers the incidence of osteoporosis.

Disparities in pregnancy-related deaths: spatial and Bayesian network analyses of maternal mortality ratio in 54 African countries

BACKGROUND

Maternal mortality remains a public health problem despite several global efforts. Globally, about 830 women die of pregnancy-related death per day, with more than two-third of these cases occurring in Africa. We examined the spatial distribution of maternal mortality in Africa and explored the influence of SDoH on the spatial distribution.

METHODS

We used country-level secondary data of 54 African countries collected between 2006 and 2018 from three databases namely, World Development Indicator, WHO's Global Health Observatory Data and Human Development Report. We performed descriptive analyses, presented in tables and maps. The spatial analysis involved local indicator of spatial autocorrelation maps and spatial regression. Finally, we built Bayesian networks to determine and show the strength of social determinants associated with maternal mortality.

RESULTS

We found that the average prevalence of maternal mortality ratio (MMR) in Africa was 415 per 100 000 live births. Findings from the spatial analyses showed clusters (hotspots) of MMR with seven countries (Guinea-Bissau, Guinea, Sierra Leone, Cote d'Ivoire, Chad and Cameroon, Mauritania), all within the Middle and West Africa. On the other hand, the cold spot clusters were formed by two countries; South Africa and Namibia; eight countries (Algeria, Tunisia, Libya, Ghana, Gabon and Congo, Equatorial Guinea and Cape Verde) formed low-high clusters; thus, indicating that these countries have significantly low MMR but within the neighbourhood of countries with significantly high MMR. The findings from the regression and Bayesian network analysis showed that gender inequities and the proportion of skilled birth attendant are strongest social determinants that drive the variations in maternal mortality across Africa.

CONCLUSION

Maternal mortality is very high in Africa especially in countries in the middle and western African subregions. To achieve the target 3.1 of the sustainable development goal on maternal health, there is a need to design effective strategies that will address gender inequalities and the shortage of health professionals.

Health capabilities and the determinants of infant mortality in Brazil, 2004-2015: an innovative methodological framework

BACKGROUND

Despite the implementation of a set of social and health policies, Brazil has experienced a slowdown in the decline of infant mortality, regional disparities and persistent high death levels, raising questions about the determinants of infant mortality after the implementation of these policies. The objective of this article is to propose a methodological approach aiming at identifying the determinants of infant mortality in Brazil after the implementation of those policies.

METHOD

A series of multilevel panel data with fixed effect nested within-clusters were conducted supported by the concept of health capabilities based on data from 26 Brazilian states between 2004 and 2015. The dependent variables were the neonatal, the infant and the under-five mortality rates. The independent variables were the employment rate, per capita income, Bolsa Família Program coverage, the fertility rate, educational attainment, the number of live births by prenatal visits, the number of health professionals per thousand inhabitants, and the access to water supply and sewage services. We also used different time lags of employment rate to identify the impact of employment on the infant mortality rates over time, and household income stratified by minimum wages to analyze their effects on these rates.

RESULTS

The results showed that in addition to variables associated with infant mortality in previous studies, such as Bolsa Família Program, per capita income and fertility rate, other factors affect child mortality. Educational attainment, quality of prenatal care and access to health professionals are also elements impacting infant deaths. The results also identified an association between employment rate and different infant mortality rates, with employment impacting neonatal mortality up to 3 years and that a family income below 2 minimum wages increases the odds of infant deaths.

CONCLUSION

The results proved that the methodology proposed allowed the use of variables based on aggregated data that could hardly be used by other methodologies.

Comparative effectiveness of post-discharge strategies for hospitalized smokers: Study protocol for the Helping HAND 4 randomized controlled trial

BACKGROUND

Tobacco smoking remains the leading preventable cause of death in the US. A hospital admission provides smokers with a unique opportunity to stop smoking because it requires temporary tobacco abstinence while illness may enhance motivation to quit. Hospital interventions must continue post-discharge to increase tobacco abstinence long-term, but how best to accomplish this remains unclear. Building on two previous randomized controlled trials, each of which tested smoking cessation interventions that began in hospital and continued after discharge, this trial compares two interventions that provide sustained smoking cessation treatment after hospital discharge with the goal of improving long-term smoking cessation rates among hospitalized smokers.

METHODS/DESIGN

Helping HAND 4 is a three-site randomized controlled trial that compares the effectiveness of two active interventions for producing validated past 7-day tobacco abstinence 6 months after hospital discharge. Smokers who are admitted to three hospitals receive a standard in-hospital smoking intervention, and those who plan to quit smoking after discharge are recruited and randomly assigned to two interventions that begin at discharge, Personalized Tobacco Care Management (PTCM) or Quitline eReferral. Each lasts 3 months. At discharge, PTCM provides 8 weeks of free nicotine replacement (NRT; a participant's choice of patch, gum, lozenge, or a combination) and then proactive smoking cessation support using an automated communication platform and live contact with a tobacco treatment specialist who is based in the health care system. In the eReferral condition, a direct referral is made from the hospital electronic health record to a community-based resource, the state's telephone quitline. The quitline provides up to 8 weeks of free NRT and offers behavioral support via a series of phone calls from a trained coach. Outcomes are assessed at 1, 3, and 6 months after discharge. The study hypothesis is that PTCM will produce higher quit rates than eReferral.

DISCUSSION

Helping HAND 4 is a pragmatic trial that aims to evaluate interventions in real-world conditions. This project will give hospital systems critical evidence-based tools for meeting National Hospital Quality Measures for tobacco treatment and maximizing their ability to improve cessation rates and overall health for the millions of smokers hospitalized annually in the US.

TRIAL REGISTRATION

Prospectively registered prior to start of enrollment at Clinicaltrials.gov, NCT03603496 (July 27, 2018). https://register.clinicaltrials.gov/prs/app/action/SelectProtocol?sid=S00084MJ&selectaction=Edit&uid=U00002G7&ts=2&cx=ff0oxn.

Public health management: systemic analysis of social determinants of health in Brazilian municipalities

The health sector is considered extremely important by governments and multilateral international organisms, due to its implication to life, as well as material and human struggling involved. This study adopts a systematical approach in order to question if the mortality outcomes in medium Brazilian cities explain or may be explained by factors considered external to the public health service, expressed by health social determinants. Therefore, this study aims to investigate health conditions in public health management in medium Brazilian cities. The scenario adopted contains 192 cities with a population contingent between 100 000 and 500 000 inhabitants, between the years 2007 and 2011. The database produced, containing 30 indicators representing conceptual models referenced, allowed the elaboration of an operational model of health social determinants from a Bayesian network. As result, we elaborated a model of health system formed by six factors, showing associations that allow a better comprehension about relations among health social determinants and health conditions, producing contextualized information, able to subsidize the formulation of strategies by managers of Sistema Único de Saúde.

Modelo conceitual aplicável a estudos sobre determinantes sociais da saúde em municípios brasileiros

Resumo Os modelos conceituais de determinantes sociais da saúde (DSS) disponíveis na literatura, embora úteis para compreensão dos mecanismos que afetam os resultados do sistema de saúde sobre as condições de vida das populações, apresentam limitações quanto à sua aplicação em estudos empíricos e, consequentemente, na orientação da gestão de políticas públicas de saúde. Isso ocorre porque as categorias adotadas por esses modelos não são adequadamente representadas por indicadores ou variáveis homogêneas, sujeitas a manipulações matemáticas ou estatísticas em um sistema simples de relacionamentos. Este estudo tem por objetivo contribuir para o preenchimento dessa lacuna, ao propor um modelo conceitual de DSS passível de aplicação operacional, ou seja, de ser reproduzido em modelos matemáticos ou estatísticos, a fim de subsidiar estudos e definir estratégias de saúde pública. O esforço recorre à literatura para revisar modelos conceituais consagrados, identificar um conjunto de DSS e apresentar recomendações e critérios de escolha. Na sequência, identifica fontes de dados confiáveis que disponibilizem indicadores e variáveis dispostos em séries históricas e propõe o desenho de um modelo conceitual aplicável, cuja operacionalização requer métodos e ferramentas próprios de uma abordagem sistêmica.

A Balanced Investment Portfolio For Equitable Health And Well-Being Is An Imperative, And Within Reach

Health investments, defined as formal expenditures to either produce or care for health, in the US are extremely inefficient and have yet to unlock the country's full potential for equitable health and well-being. A major reason for such poor performance is that the US health investment portfolio is out of balance, with too much spent on certain aspects of health care and not enough spent to ensure social, economic, and environmental conditions that are vital to maintaining health and well-being. This commentary summarizes the evidence for this assertion, along with the opportunities and challenges involved in rebalancing investments in ways that would improve overall population health, reduce health gaps, and help build a culture of health for all Americans.

Metodologia de criação de uma ferramenta didático-pedagógica de intervenção em doença renal crônica, segundo preceitos do letramento em saúde

Considerando que o diagnóstico precoce da doença renal crônica (DRC) e o sucesso terapêutico da doença primária são fundamentais para a diminuição ou reversão da progressão da DRC, são necessárias intervenções que irão impactar positivamente conforme a precocidade de sua aplicação. O objetivo do presente trabalho foi desenvolver uma ferramenta didático pedagógica de intervenção em DRC. A criação da Ferramenta obedeceu a cinco etapas iniciais: sistematização do conteúdo; criação das imagens por um designer especializado; diagramação e edição do conteúdo; submissão a um Comitê de Especialistas e criação de um Manual do Mediador. A Ferramenta Didática de Intervenção em DRC foi concluída, dando origem a um instrumento capaz de abordar 11 itens de extrema importância para o tratamento da DRC: (1) Você sabe o que é Doença Renal Crônica?; (2) Acolhimento; (3) Sentimentos mediante o diagnóstico; (4) Definição de DRC; (5) Caminho do sangue; (6) Mitos e verdades; (7) Sinais e sintomas; (8) Fatores de risco; (9) Alimentação; (10) Atividade física; e (11) Tratamento. A Ferramenta Didático-Pedagógica de Intervenção em DRC é um instrumento facilitador da aprendizagem, por ter uma estrutura lúdica, dialógica e dinâmica, cujo intuito é impactar nos desfechos de forma positiva.

The effects of primary prevention policies on mortality from motor-vehicle crashes among children in the United States

INTRODUCTION

Every year, 4500 children die in motor-vehicle crashes in the United States, with estimated costs of more than $40,000 and $240 billion in productivity losses. The majority of deaths and injuries are associated with improper use of restraint devices, alcohol, high speeds, and built environments.

METHODOLOGY

This is a retrospective study using U.S. panel data from 1997 through 2005. Data sources included the Fatality Analysis Reporting System, the Insurance Institute for Highway Safety, the U.S. Census Bureau, the Atlas of Presidential Elections, and the U.S. Bureau of Labor Statistics. This study used conditional fixed effects negative binomial regression to analyze the effect of the covariates on mortality by state and year.

RESULTS

A total of 32,893 children died in motor-vehicle crashes (MVCs). States that allowed fines greater than $50 for lack of restraint use experienced significant reductions in mortality as well as states with laws allowing the use of red light cameras. Graduate licensing programs requiring a minimum age of 16 for the intermediate-level experienced mortality reductions as much as 90% compared with a minimum age of 14. Higher posted speeds were associated with higher mortality rates, particularly on local roads.

CONCLUSION

This research focuses on the effects injury prevention laws have on mortality, but not on how effectively these laws are implemented and/or enforced. Results may be useful to policy-makers and public health practitioners involved in injury prevention and public health. Practical applications: Design appropriate education and training programs in road safety, implement effective road safety interventions and improve traffic safety legislation.

Subjective Well-Being in Older Chinese and Korean Immigrants in the United States: Effects of Self-Rated Health and Employment Status

This study examined the effects of association between self-rated health and employment status on subjective well-being among older Chinese and Korean immigrants in the United States. Data were collected from 171 Chinese and 205 Korean older adult immigrants living in Los Angeles County. The primary variables included demographic data, subjective index of well-being, self-rated health, and employment status. Data support the association between self-rated health and subjective well-being for both groups. Employment, education, and age were associated with the level of subjective well-being only for older Korean immigrants. Similarities and differences were noted in these two Asian American subgroups. Findings suggest the need to develop health promotion services for both populations and employment opportunities targeted more so for Korean older immigrants to further support their subjective well-being. Results may have implications for other for older immigrants.

Conceptual Models of Social Determinants of Health: A Narrative Review

BACKGROUND

There are several conflicting conceptual models to explain social determinants of health (SDH) as responsible for most health inequalities. This study aimed to present these models in historical perspective and provide main component of SDH models as an SES indicators.

METHODS

This was a narrative study using international databases to retrieve literature dealing with conceptual models of SDH. All publication in English language until Mar 2015 was included. The CASP and PRISMA were used to summarize the literature.

RESULTS

Overall, 248 publications were retrieved and screened. After exclusion of irrelevant and duplicates, 94 citations were found to be relevant and 21 publications included in this review. In general, 21 models of SDH were found: some models presented before year 1995(n=4), some models presented between 1995 and 2005 (n=13) and some models presented after 2005 (n=4). However, we found three categories of indicators that contribute to SDH models and that were classic factors, fixed and demographic factors and proxy factors.

CONCLUSION

Reduction of socioeconomic inequalities in health requires understanding of mechanisms and causal pathways; therefore, every country needs to design the specific model. As the available models are for developed countries, lack of a specific model for developing ones is tangible. As there is no gold standard related to SES indicators, therefore, it is proposed to use the various indicators based on life course approach, which leads to understanding and adopting effective policy interventions.

Political Challenges in Complex Place-Based Health Promotion Partnerships: Lessons From an Exploratory Case Study in a Disadvantaged Area of Queensland, Australia

Settings-based health promotion involving multiple strategies and partners is complex, especially in disadvantaged areas. Partnership development and organizational integration are examined in the literature; however, there is more to learn from the examination of practice stakeholders' experience of intersectoral partnership processes. This case study examines stakeholder experiences of challenges in new partnership work in the context of a culturally diverse and socioeconomically disadvantaged region in Queensland, Australia. Health promotion staff and community representatives participated in interviews and focus groups, and the thematic analysis included observations and documentary analyses. Our findings highlight the retrogressive influence of broader system dynamics, including policy reform and funding changes, upon partnership working. Partnership enablers are disrupted by external political influences and the internal politics (individual and organizational) of health promotion practice. We point to the need for organization level commitment to a consistent agreed vision specifically accounting for place, as a cornerstone of intersectoral health promotion partnership resilience. If organizations from diverse sectors can embed a vision for health that accounts for place, complex health promotion initiatives may be less vulnerable to broader system reforms, and health in all policy approaches more readily sustained.

Determinants of dietary patterns and diet quality during pregnancy: a systematic review with narrative synthesis

OBJECTIVE

To identify determinants of diet in pregnancy, by detecting factors in our multiple-determinants life course framework that are associated with dietary patterns, quality or guideline adherence.

DESIGN

A systematic review of observational studies, published in English or German, was conducted. Sociodemographic, lifestyle, environmental and pregnancy-related determinants were considered. Four electronic databases were searched in January 2015 and updated in April 2016 and a total of 4368 articles identified. Risk of bias was assessed using adapted Newcastle-Ottawa Scales.

SETTING

High- and upper-middle-income countries.

SUBJECTS

Pregnant or postpartum women reporting their dietary intake during pregnancy.

RESULTS

Seventeen publications of twelve studies were included and compared narratively due to heterogeneity. Diet in pregnancy was patterned along a social gradient and aligned with other health behaviours before and during pregnancy. Few studies investigated the influence of the social and built environment and their findings were inconsistent. Except for parity, pregnancy determinants were rarely assessed even though pregnancy is a physiologically and psychologically unique period. Various less well-researched factors such as the role of ethnicity, pregnancy intendedness, pregnancy ailments and macro-level environment were identified that need to be studied in more detail.

CONCLUSIONS

The framework was supported by the literature identified, but more research of sound methodology is needed in order to conclusively disentangle the interplay of the different determinants. Practitioners should be aware that pregnant women who are young, have a low education or do not follow general health advice appear to be at higher risk of inadequate dietary intake.

Examining regional variation in health care spending in British Columbia, Canada

Examining regional variation in health care spending may reveal opportunities for improved efficiency. Previous research has found that health care spending and service use vary substantially from place to place, and this is often not explained by differences in the health status of populations or by better outcomes in higher-spending regions, but rather by differences in intensity of service provision. Much of this research comes from the United States. Whether similar patterns are observed in other high-income countries is not clear. We use administrative data on health care use, covering the entire population of the Canadian province of British Columbia, to examine how and why health care spending varies among health regions. Pricing and insurance coverage are constant across the population, and we adjust for patient-level age, sex, and recorded diagnoses. Without adjusting for differences in population characteristics, per-capita spending is 50% higher in the highest-spending region than in the lowest. Adjusting for population characteristics as well as the very different environments for health service delivery that exist among metropolitan, non-metropolitan, and remote regions of the province, this falls to 20%. Despite modest variation in total spending, there are marked differences in mortality. In this context, it appears that policy reforms aimed at system-wide quality and efficiency improvement, rather than targeted at high-spending regions, will likely prove most promising.

Analysing implementer narratives on addressing health inequity through convergent action on the social determinants of health in India

BACKGROUND

Understanding health inequity in India is a challenge, given the complexity that characterise the lives of its residents. Interpreting constructive action to address health inequity in the country is rare, though much exhorted by the global research community. We critically analysed operational understandings of inequity embedded in convergent actions to address health-related inequalities by stakeholders in varying contexts within the country.

METHODS

Two implementer groups were purposively chosen to reflect on their experiences addressing inequalities in health (and its determinants) in the public sector working in rural areas and in the private non-profit sector working in urban areas. A representing co-author from each group developed narratives around how they operationally defined, monitored, and addressed health inequality in their work. These narratives were content analysed by two other co-authors to draw out common and disparate themes characterising each action context, operational definitions, shifts and changes in strategies and definitions, and outcomes (both intended and unintended). Findings were reviewed by all authors to develop case studies.

RESULTS

We theorised that action to address health inequality converges around a unifying theme or pivot, and developed a heuristic that describes the features of this convergence. In one case, the convergence was a single decision-making platform for deliberation around myriad village development issues, while in the other, convergence brought together communities, legal, police, and health system action around one salient health issue. One case emphasized demand generation, the other was focussed on improving quality and supply of services. In both cases, the operationalization of equity broke beyond a biomedical or clinical focus. Dearth of data meant that implementers exercised various strategies to gather it, and to develop interventions - always around a core issue or population.

CONCLUSIONS

This exercise demonstrated the possibility of constructive engagement between implementers and researchers to understand and theorize action on health equity and the social determinants of health. This heuristic developed may be of use not just for further research, but also for on-going appraisal and design of policy and praxis, both sensitive to and reflective of Indian concerns and understandings.

The Impact of Employment and Self-Rated Economic Condition on the Subjective Well-Being of Older Korean Immigrants

Extensive research has demonstrated a relationship between socioeconomic factors and health among older adults, yet fewer studies have explored this relationship with older immigrants. This study aims to examine the influence of employment and self-rated economic condition on the subjective well-being of older Korean immigrants in the United States. Data were drawn from a cross-sectional study of 205 older Korean immigrants, aged 65 to 90, in Los Angeles County. Hierarchical regression was employed to explore the independent and interactive effects of employment status and self-rated economic condition. The study found that employment and self-rated economic status were positively associated with subjective well-being. Also, the interaction between employment and self-rated economic status was significantly associated with higher levels of subjective well-being, such that the influence of self-rated economic condition was stronger for unemployed older Korean immigrants compared with those who were employed. This population-based study provides empirical evidence that employment and self-rated economic condition are directly associated with subjective well-being for older Korean immigrants.

Twelve tips for teaching social determinants of health in medicine

BACKGROUND

There has been a recent movement towards social accountability in medical schools, which includes integrating the social, economic, and cultural determinants of health into the curriculum. Medical schools and their guiding bodies have met this challenge of educating future physicians to provide effective care to diverse populations with varying response and successes. Because these topics have not been systematically taught in most medical school curricula, strategies are needed to teach them alongside clinical sciences.

AIM AND METHOD

We provide 12 tips on how to teach social determinants of health and cultural competency to undergraduate medical students. These recommendations are based on a review of the literature and our experience in developing and delivering a longitudinal course over the last five years.

CONCLUSION

Medical students must be taught to think critically about the social and cultural issues impacting health, and the intersection with the basic biology and clinical skills. Teaching social determinants of health in medicine requires keeping the material concrete and applicable. Educators must engage students in active learning strategies, reflection, and focus on how to make the material relevant to the clinical care of patients.

A Critique of Grossman's Canonical Model of Health Capital

In the health economics literature, the demand for health and market health inputs is dominated by adaptations of Grossman's health capital model. The model has been widely used to explore a wide range of issues related to health, socioeconomic inequalities in health, demand for medical care, health preventions, occupational choice, and retirement decisions. The commodity of health is viewed as a durable capital stock that yields a flow of healthy time or illness-free time, that depreciates with age, and that can be augmented with the help of market health inputs and own time. The purpose of this article is to provide a comprehensive critical review of the model. Underlying Grossman's model are a faulty conceptual framework and assumptions that tend to exaggerate the degree of control consumers/patients may have over their state of health and survival. The assumption of full information about one's state of health and the efficacy of various health inputs abstracts away from the problems posed by the agency relationship under uncertainty and informational asymmetry. Grossman's individualistic and mechanistic view of health strips health capital and its production of much of their biological/physiological content and their interactions with the individual's social and physical environment.

Health adaptation policy for climate vulnerable groups: a 'critical computational linguistics' analysis

Background

Many countries are developing or reviewing national adaptation policy for climate change but the extent to which these meet the health needs of vulnerable groups has not been assessed. This study examines the adequacy of such policies for nine known climate-vulnerable groups: people with mental health conditions, Aboriginal people, culturally and linguistically diverse groups, aged people, people with disabilities, rural communities, children, women, and socioeconomically disadvantaged people.

Methods

The study analyses an exhaustive sample of national adaptation policy documents from Annex 1 (‘developed’) countries of the United Nations Framework Convention on Climate Change: 20 documents from 12 countries. A ‘critical computational linguistics’ method was used involving novel software-driven quantitative mapping and traditional critical discourse analysis.

Results

The study finds that references to vulnerable groups are relatively little present or non-existent, as well as poorly connected to language about practical strategies and socio-economic contexts, both also little present.

Conclusions

The conclusions offer strategies for developing policy that is better informed by a ‘social determinants of health’ definition of climate vulnerability, consistent with best practice in the literature and global policy prescriptions.

Population health improvement: a community health business model that engages partners in all sectors

Because population health improvement requires action on multiple determinants--including medical care, health behaviors, and the social and physical environments--no single entity can be held accountable for achieving improved outcomes. Medical organizations, government, schools, businesses, and community organizations all need to make substantial changes in how they approach health and how they allocate resources. To this end, we suggest the development of multisectoral community health business partnership models. Such collaborative efforts are needed by sectors and actors not accustomed to working together. Healthcare executives can play important leadership roles in fostering or supporting such partnerships in local and national arenas where they have influence. In this article, we develop the following components of this argument: defining a community health business model; defining population health and the Triple Aim concept; reaching beyond core mission to help create the model; discussing the shift for care delivery beyond healthcare organizations to other community sectors; examining who should lead in developing the community business model; discussing where the resources for a community business model might come from; identifying that better evidence is needed to inform where to make cost-effective investments; and proposing some next steps. The approach we have outlined is a departure from much current policy and management practice. But new models are needed as a road map to drive action--not just thinking--to address the enormous challenge of improving population health. While we applaud continuing calls to improve health and reduce disparities, progress will require more robust incentives, strategies, and action than have been in practice to date. Our hope is that ideas presented here will help to catalyze a collective, multisectoral response to this critical social and economic challenge.

The balance between stress and personal capital during pregnancy and the relationship with adverse obstetric outcomes: findings from the 2007 Los Angeles Mommy and Baby (LAMB) study

Stress during pregnancy is a salient risk factor for adverse obstetric outcomes. Personal capital during pregnancy, defined as internal and social resources that help women cope with or decrease their exposure to stress, may reduce the risk of poor obstetric outcomes. Using data from the 2007 Los Angeles Mommy and Baby study (N = 3,353), we examined the relationships between the balance of stress and personal capital during pregnancy, or the stress-to-capital ratio (SCR), and adverse obstetric outcomes (i.e., pregnancy complications, preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA)). Women with a higher SCR (i.e., greater stress relative to personal capital during pregnancy) were significantly more likely to experience at least one pregnancy complication, PTB, and lower gestational age, but not LBW or SGA. Accounting for pregnancy complications completely mediated the association between the SCR and PTB. Our findings indicate that experiencing greater stress relative to personal capital during pregnancy is associated with an increased risk for pregnancy complications, PTB, and lower gestational age and that pregnancy complications may be a mechanism by which the SCR is related to adverse obstetric outcomes.

Integrating health and environmental impact analysis

Scientific investigations have progressively refined our understanding of the influence of the environment on human health, and the many adverse impacts that human activities exert on the environment, from the local to the planetary level. Nonetheless, throughout the modern public health era, health has been pursued as though our lives and lifestyles are disconnected from ecosystems and their component organisms. The inadequacy of the societal and public health response to obesity, health inequities, and especially global environmental and climate change now calls for an ecological approach which addresses human activity in all its social, economic and cultural complexity. The new approach must be integral to, and interactive, with the natural environment. We see the continuing failure to truly integrate human health and environmental impact analysis as deeply damaging, and we propose a new conceptual model, the ecosystems-enriched Drivers, Pressures, State, Exposure, Effects, Actions or 'eDPSEEA' model, to address this shortcoming. The model recognizes convergence between the concept of ecosystems services which provides a human health and well-being slant to the value of ecosystems while equally emphasizing the health of the environment, and the growing calls for 'ecological public health' as a response to global environmental concerns now suffusing the discourse in public health. More revolution than evolution, ecological public health will demand new perspectives regarding the interconnections among society, the economy, the environment and our health and well-being. Success must be built on collaborations between the disparate scientific communities of the environmental sciences and public health as well as interactions with social scientists, economists and the legal profession. It will require outreach to political and other stakeholders including a currently largely disengaged general public. The need for an effective and robust science-policy interface has never been more pressing. Conceptual models can facilitate this by providing theoretical frameworks and supporting stakeholder engagement process simplifications for inherently complex situations involving environment and human health and well-being. They can be tools to think with, to engage, to communicate and to help navigate in a sea of complexity. We believe models such as eDPSEEA can help frame many of the issues which have become the challenges of the new public health era and can provide the essential platforms necessary for progress.

Comparisons among Health Behavior Surveys: Implications for the Design of Informatics Infrastructures That Support Comparative Effectiveness Research

Introduction:

To address the electronic health data fragmentation that is a methodological limitation of comparative effectiveness research (CER), the Washington Heights Inwood Informatics Infrastructure for Comparative Effectiveness Research (WICER) project is creating a patient-centered research data warehouse (RDW) by linking electronic clinical data (ECD) from New York Presbyterian Hospital’s clinical data warehouse with ECD from ambulatory care, long-term care, and home health settings and the WICER community health survey (CHS). The purposes of the research were to identify areas of overlap between the WICER CHS and two other surveys that include health behavior data (the Behavioral Risk Factor Surveillance System (BRFSS) Survey and the New York City Community Health Survey (NYC CHS)) and to identify gaps in the current WICER RDW that have the potential to affect patient-centered CER.

Methods:

We compared items across the three surveys at the item and conceptual levels. We also compared WICER RDW (ECD and WICER CHS), BRFSS, and NYC CHS to the County Health Ranking framework.

Results:

We found that 22 percent of WICER items were exact matches with BRFSS and that there were no exact matches between WICER CHS and NYC CHS items not also contained in BRFSS.

Conclusions:

The results suggest that BRFSS and, to a lesser extent, NYC CHS have the potential to serve as population comparisons for WICER CHS for some health behavior-related data and thus may be particularly useful for considering the generalizability of CER study findings. Except for one measure related to health behavior (motor vehicle crash deaths), the WICER RDW’s comprehensive coverage supports the mortality, morbidity, and clinical care measures specified in the County Health Ranking framework but is deficient in terms of some socioeconomic factors and descriptions of the physical environment as captured in BRFSS. Linkage of these data in the WICER RDW through geocoding can potentially facilitate patient-centered CER that integrates important socioeconomic and physical environment influences on health outcomes. The research methods and findings may be relevant to others interested in either integrating health behavior data into RDWs to support patient-centered CER or conducting population-level comparisons.

Are community-level financial data adequate to assess population health investments?

The variation in health outcomes among communities results largely from different levels of financial and nonfinancial policy investments over time; these natural experiments should offer investment and policy guidance for a business model on population health. However, little such guidance exists. We examined the availability of data in a sample of Wisconsin counties for expenditures in selected categories of health care, public health, human services, income support, job development, and education. We found, as predicted by the National Committee on Vital and Health Statistics in 2002, that availability is often limited by the challenges of difficulty in locating useable data, a lack of resources among public agencies to upgrade information technology systems for making data more usable and accessible to the public, and a lack of enterprise-wide coordination and geographic detail in data collection efforts. These challenges must be overcome to provide policy-relevant information for optimal population health resource allocation.

The evidence-policy divide: a 'critical computational linguistics' approach to the language of 18 health agency CEOs from 9 countries

BACKGROUND

There is an emerging body of literature suggesting that the evidence-practice divide in health policy is complex and multi-factorial but less is known about the processes by which health policy-makers use evidence and their views about the specific features of useful evidence. This study aimed to contribute to understandings of how the most influential health policy-makers view useful evidence, in ways that help explore and question how the evidence-policy divide is understood and what research might be supported to help overcome this divide.

METHODS

A purposeful sample of 18 national and state health agency CEOs from 9 countries was obtained. Participants were interviewed using open-ended questions that asked them to define specific features of useful evidence. The analysis involved two main approaches 1)quantitative mapping of interview transcripts using Bayesian-based computational linguistics software 2)qualitative critical discourse analysis to explore the nuances of language extracts so identified.

RESULTS

The decision-making, conclusions-oriented world of policy-making is constructed separately, but not exclusively, by policy-makers from the world of research. Research is not so much devalued by them as described as too technical- yet at the same time not methodologically complex enough to engage with localised policy-making contexts. It is not that policy-makers are negative about academics or universities, it is that they struggle to find complexity-oriented methodologies for understanding their stakeholder communities and improving systems. They did not describe themselves as having a more positive role in solving this challenge than academics.

CONCLUSIONS

These interviews do not support simplistic definitions of policy-makers and researchers as coming from two irreconcilable worlds. They suggest that qualitative and quantitative research is valued by policy-makers but that to be policy-relevant health research may need to focus on building complexity-oriented research methods for local community health and service development. Researchers may also need to better explain and develop the policy-relevance of large statistical generalisable research designs. Policy-makers and public health researchers wanting to serve local community needs may need to be more proactive about questioning whether the dominant definitions of research quality and the research funding levers that drive university research production are appropriately inclusive of excellence in such policy-relevant research.

Exploring a public health perspective on pedestrian planning

A pedestrian plan is a public document that explains a community's vision and goals for future pedestrian activity. This study explored whether involvement by public health professionals in the development of pedestrian plans was associated with certain characteristics of the plan (vision, goals, identified programs, and evaluation). This study identified, collected, and analyzed content of all pedestrian plans in North Carolina through 2008. Among the 46 plans, 39% reported involvement by public health professionals in their development. Overall, 72% of pedestrian plans included a vision statement; health was mentioned four times and quality of life was mentioned five times. Slightly more than half (52%) of the plans included goals to improve public health. Plans that involved public health professionals more often included the type of physical activity, safety, or education program. Only 22% of all pedestrian plans included a proposal to evaluate their implementation. Plans that included public health professionals were less likely to include an evaluation proposal (11%) compared with those that did not involve public health professionals (21%). Public health professionals are encouraged to seek involvement in the pedestrian planning process, particularly in the areas of health program development, implementation, and evaluation.

Influence of socioeconomic factors on the adherence of alendronate treatment in incident users in Norway

PURPOSE

To examine whether socioeconomic factors influence adherence to alendronate drug treatment among incident users in Norway during 2005-2009.

METHODS

The study included 7610 incident alendronate users in 2005 (40-79 years), followed until 31 December 2009. Mean age was 66.6 years, and 86.7% of the patients were women. Data were drawn from the Norwegian Prescription Database and linked to marital status, education and income. Adherence was measured by the medication possession ratio (MPR). MPR was defined as the number of dispensed defined daily doses divided by the number of days each patient was included in the study. A patient was adherent if MPR ≥ 80%. ORs with 95%CI were estimated using logistic regression.

RESULTS

Among all patients, 45.5% was adherent throughout 4.2 years. A slightly higher proportion of women than men were adherent. Adjusted for all covariates, women aged 70-79 years had an OR of 1.27 (95%CI 1.10-1.45) for adherence compared with those 40-59 years. In women, high household income predicted adherence of alendronate use. In men, a middle educational level compared with a low level, predicted adherence (adjusted OR = 1.47 (95%CI 1.10-1.96)). After adjustments, previous marriage reduced the odds of being adherent compared with present marriage, in both men and women.

CONCLUSIONS

In women, the most important factors for being adherent were high age and high income. In men, a middle educational level predicted adherence. Previous marriage reduced the odds of being adherent in both women and men.

Readying health services for climate change: a policy framework for regional development

Climate change presents the biggest threat to human health in the 21st century. However, many public health leaders feel ill equipped to face the challenges of climate change and have been unable to make climate change a priority in service development. I explore how to achieve a regionally responsive whole-of-systems approach to climate change in the key operational areas of a health service: service governance and culture, service delivery, workforce development, asset management, and financing. The relative neglect of implementation science means that policymakers need to be proactive about sourcing and developing models and processes to make health services ready for climate change. Health research funding agencies should urgently prioritize applied, regionally responsive health services research for a future of climate change.

The population health record: concepts, definition, design, and implementation

In 1997, the American Medical Informatics Association proposed a US information strategy that included a population health record (PopHR). Despite subsequent progress on the conceptualization, development, and implementation of electronic health records and personal health records, minimal progress has occurred on the PopHR. Adapting International Organization for Standarization electronic health records standards, we define the PopHR as a repository of statistics, measures, and indicators regarding the state of and influences on the health of a defined population, in computer processable form, stored and transmitted securely, and accessible by multiple authorized users. The PopHR is based upon an explicit population health framework and a standardized logical information model. PopHR purpose and uses, content and content sources, functionalities, business objectives, information architecture, and system architecture are described. Barriers to implementation and enabling factors and a three-stage implementation strategy are delineated.

On the relationship between individual and population health

The relationship between individual and population health is partially built on the broad dichotomization of medicine into clinical medicine and public health. Potential drawbacks of current views include seeing both individual and population health as absolute and independent concepts. I will argue that the relationship between individual and population health is largely relative and dynamic. Their interrelated dynamism derives from a causally defined life course perspective on health determination starting from an individual's conception through growth, development and participation in the collective till death, all seen within the context of an adaptive society. Indeed, it will become clear that neither individual nor population health is identifiable or even definable without informative contextualization within the other. For instance, a person's health cannot be seen in isolation but must be placed in the rich contextual web such as the socioeconomic circumstances and other health determinants of where they were conceived, born, bred, and how they shaped and were shaped by their environment and communities, especially given the prevailing population health exposures over their lifetime. We cannot discuss the "what" and "how much" of individual and population health until we know the cumulative trajectories of both, using appropriate causal language.

Menu labeling as a potential strategy for combating the obesity epidemic: a health impact assessment

OBJECTIVES

We conducted a health impact assessment to quantify the potential impact of a state menu-labeling law on population weight gain in Los Angeles County, California.

METHODS

We utilized published and unpublished data to model consumer response to point-of-purchase calorie postings at large chain restaurants in Los Angeles County. We conducted sensitivity analyses to account for uncertainty in consumer response and in the total annual revenue, market share, and average meal price of large chain restaurants in the county.

RESULTS

Assuming that 10% of the restaurant patrons would order reduced-calorie meals in response to calorie postings, resulting in an average reduction of 100 calories per meal, we estimated that menu labeling would avert 40.6% of the 6.75 million pound average annual weight gain in the county population aged 5 years and older. Substantially larger impacts would be realized if higher percentages of patrons ordered reduced-calorie meals or if average per-meal calorie reductions increased.

CONCLUSIONS

Our findings suggest that mandated menu labeling could have a sizable salutary impact on the obesity epidemic, even with only modest changes in consumer behavior.

Rural public health policy models to address an evolving environmental asbestos disaster

The health-related dangers of asbestos exposure were recognized early in the 20th century when occupational exposure was found to be associated with excess pneumoconiosis among asbestos industry workers. Today, the epicenter for examining the public health effects and the human toll that this toxin has had on a population is located in the rural community of Libby, MT. Rurality and multideterminants of health frame both the history of asbestos-related disease and the service/policy challenges within a community dealing with chronic illness and designation as a Superfund clean-up site. Despite efforts by public health advocates to address the lingering aftermath of an environmental disaster in this community, policy gaps exist that continue to impact the population's health. The purpose of this paper is to describe the history and outcomes of asbestos exposure in a rural community and discuss 3 models that provide public health policy insights related to rural health and health care for a community affected by both a sentinel and ongoing environmental event.

A conceptual framework for public health: NICE's emerging approach

This paper outlines the National Institute for Health and Clinical Excellence's (NICE) emerging conceptual framework for public health. This is based on the experience of the first 3 years of producing public health guidance at NICE (2005-2008). The framework has been used to shape the revisions to NICE's public health process and methods manuals for use post 2009, and will inform the public health guidance which NICE will produce from April 2009. The framework is based on the precept that both individual and population patterns of disease have causal mechanisms. These are analytically separate. Explanations of individual diseases involve the interaction between biological, social and related phenomena. Explanations of population patterns involve the same interactions, but also additional interactions between a range of other phenomena working in tandem. These are described. The causal pathways therefore involve the social, economic and political determinants of health, as well as psychological and biological factors. Four vectors of causation are identified: population, environmental, organizational and social. The interaction between the vectors and human behaviour are outlined. The bridge between the wider determinants and individual health outcomes is integration of the life course and the lifeworld.

Where there's a will, is there a way?: is New Zealand's publicly funded health sector able to steer towards population health?

Since 2000, the substantive focus of health policy in New Zealand has been closely aligned to the agendas of improving population health and reducing health inequalities. Health system restructuring, through the introduction of locally based and partially elected District Health Boards (DHBs), was the structural mechanism chosen for reorienting the health sector towards population health. Strategic planning at the DHB level was the key mechanism by which central government population health objectives would be translated into local action. This analysis of the early years of elected DHBs (2001-2005) sets out to answer the following broad questions: (i) did strategic planning by District Health Boards reflect an orientation to population health?; (ii) to what extent was strategic planning towards population health shaped by community participation and input?; (iii) to what extent did strategic planning lead to a re-prioritisation of resources? These questions were explored as part of a larger research project investigating the introduction and implementation of the DHB system. Data were collected from over 350 interviews of local and national stakeholders, and two surveys of DHB Members between 2002 and 2004-2005. Overall, DHBs demonstrated the 'will' to engage in strategic decision-making processes to enhance population health but have difficulty in finding the 'way'. The priorities and requirements of central government and the weight of institutional history were found to be the most influential factors on DHB decision-making and practice, with flexibility and innovation only exercised at the margins. This raises the key question of whether there is the governmental capacity at the local level to adequately address nationally determined population health policy priorities.

Evaluating the unintended health consequences of poverty alleviation strategies: or what is the relevance of Mohammed Yunus to public health?

Public health researchers are increasingly shifting their attention away from merely documenting those factors that determine health--a solid evidence base on health determinants now exists--to improving our understanding of how various interventions influence population health. This paper argues for greater investigations of the potential unintended health benefits associated with participation in a poverty alleviation strategy (PAS) in low-income countries. We focus on microcredit, a PAS that has been spreading across the developing world. Microcredit aims to address the "credit gap" between the poor and the better off by offering an alternative for the poor to acquire loans: small groups are formed and loans are allocated to members based on group solidarity instead of formal collateral. We argue that microcredit corresponds with activities that will help build up health capital (e.g., greater access to resources) and describe the main pathways from microcredit participation to health. We advocate that microcredit and other potential pro-health PAS be included among the range of interventions considered by public health researchers in improving the health of the poor.

A conceptual framework for the OECD Health Care Quality Indicators Project

ISSUES

The Health Care Quality Indicator (HCQI) Project of the Organization for Economic Cooperation and Development (OECD), which is aimed at developing a set of indicators for comparing the quality of health care across OECD member countries, requires a balanced conceptual framework that outlines the main concepts and domains of performance that should be captured for the current and subsequent phases of the project.

ADDRESSING THE ISSUES

This article develops a conceptual framework for the OECD's HCQI Project. It first argues that developing such a framework should start by addressing the question, 'performance of what-and to what ends?' We identify at least two different major classes of frameworks: (i) health and (ii) health care performance frameworks, both of which are in common use. For the HCQI, we suggest a conceptual framework that is largely a purposeful modification of the existing performance frameworks and which is driven by the health determinants model.

CONCLUSIONS

The conceptual basis for performance frameworks can be traced back to the health determinants model. A health performance framework takes a broader, societal or public health view of health determination, whereas a health care performance takes a narrower, mostly clinical or technical view of health care in relation to health (needs). This article proposes an HCQI framework that focuses on the quality of health care, maintains a broader perspective on health and its other determinants, and recognizes the key aims of health policy.

Healthy public policy in poor countries: tackling macro-economic policies

Large segments of the population in poor countries continue to suffer from a high level of unmet health needs, requiring macro-level, broad-based interventions. Healthy public policy, a key health promotion strategy, aims to put health on the agenda of policy makers across sectors and levels of government. Macro-economic policy in developing countries has thus far not adequately captured the attention of health promotion researchers. This paper argues that healthy public policy should not only be an objective in rich countries, but also in poor countries. This paper takes up this issue by reviewing the main macro-economic aid programs offered by international financial institutions as a response to economic crises and unmanageable debt burdens. Although health promotion researchers were largely absent during a key debate on structural adjustment programs and health during the 1980s and 1990s, the international macro-economic policy tool currently in play offers a new opportunity to participate in assessing these policies, ensuring new forms of macro-economic policy interventions do not simply reproduce patterns of (neoliberal) economics-dominated development policy.

The effect of socioeconomic status on bone density testing in a public health-care system

INTRODUCTION AND HYPOTHESIS

An inverse relationship exists between socio-economic status (SES) and osteoporotic fractures. In publicly funded health-care systems there should be no barriers to accessing bone mineral density (BMD) testing, especially for those at increased fracture risk. Our hypothesis was that there would be a positive association between SES and BMD utilization (i.e. higher utilization rates in higher income women), resulting in disparities that disadvantage lower SES or lower income women.

METHODS

A population-based BMD database from the Manitoba Bone Density Program was utilized to assess the association between SES (defined using income quintiles) and BMD utilization rates in women aged 50 years and older (n=107,944) for the 2001-2002 fiscal year. Analyses were stratified by age (50-64 years old and 65 years or older) and by a morbidity index obtained from the Johns Hopkins University Adjusted Clinical Group Case-Mix Adjustment System.

RESULTS

Regression models demonstrated significantly higher BMD utilization rates among high SES women in all age and morbidity strata. Rate ratios varied from 1.76 (95% CI: 1.52-2.04) in 50- to 64-year-old women to 2.36 (95% CI: 1.60-3.49) in low morbidity women aged 65 or older.

CONCLUSION

Within the context of a publicly funded health-care system significant inverse associations are demonstrated between SES and BMD utilization rates. Further research is needed to better understand the nature of these associations and how they may contribute to health outcomes.

Pathways of influence on equity in health

An increasing number of studies are documenting the existence of inequities, and attention is now turning to exploring pathways through which they are generated and might be attacked. This appears to be an opportune time to consider what has been learned and what future directions might be taken by researchers to fill gaps in knowledge and make research more useful for policy interventions. This commentary briefly reviews some of the main contributions of past research that have possible relevance to pathways, considers what those pathways might include, and concludes with implications for future research. It makes the case for a conceptualization of influences on equity that explicitly includes distribution of health as an outcome as well as characteristics of the society as influences.

Reducing oral health disparities: a focus on social and cultural determinants

Oral health is essential to the general health and well-being of individuals and the population. Yet significant oral health disparities persist in the U.S. population because of a web of influences that include complex cultural and social processes that affect both oral health and access to effective dental health care.

This paper introduces an organizing framework for addressing oral health disparities. We present and discuss how the multiple influences on oral health and oral health disparities operate using this framework. Interventions targeted at different causal pathways bring new directions and implications for research and policy in reducing oral health disparities.

Measuring population health: a review of indicators

This article reviews the historical development of population health indicators. We have long known that environmental, socioeconomic, early life conditions, individual actions, and medical care all interact to affect health. Present quantitative reporting on the impact of these factors on population health grew out of Bills of Mortality published in the 1500s. Since then, regular censuses, civil registration of vital statistics, and international classification systems have improved data quality and comparability. Regular national health interview surveys and application of administrative data contributed information on morbidity, health services use, and some social determinants of health. More recently, traditional health databases and datasets on "nonhealth" sector determinants have been linked. Statistical methods for map-making, risk adjustment, multilevel analysis, calculating population-attributable risks, and summary measures of population health have further helped to integrate information. Reports on the health of populations remain largely confined to focused areas. This paper suggests a conceptual framework for using indicators to report on all the domains of population health. Future ethical development of indicators will incorporate principles of justice, transparency, and effectiveness.

Healthy naturally occurring retirement communities: a low-cost approach to facilitating healthy aging

Naturally occurring retirement communities (NORCs) are broadly defined as communities where individuals either remain or move when they retire. Using the determinants of health model as a base, we hypothesize that some environmental determinants have a different impact on people at different ages. Health benefits to living within NORCs have been observed and likely vary depending upon where the specific NORC exists on the NORC to healthy-NORC spectrum. Some NORC environments are healthier than others for seniors, because the NORC environment has characteristics associated with better health for seniors. Health benefits within healthy NORCs are higher where physical and social environments facilitate greater activity and promote feelings of well-being. Compared to the provision of additional medical or social services, healthy NORCs are a low-cost community-level approach to facilitating healthy aging. Municipal governments should pursue policies that stimulate and support the development of healthy NORCs.