Social determinants of the health of urban populations: methodologic considerations.
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ABSTRACT:
SUBMITTER: Ompad DC
PROVIDER: S-EPMC1891644 | biostudies-other | 2007 May
REPOSITORIES: biostudies-other
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Project description:IntroductionLife expectancy is a public health metric used to assess mortality. We describe life expectancy calculations for US counties and present methodologic considerations compared with years of potential life lost before age 75 (YPLL-75) and premature age-adjusted mortality (PAAM), 2 commonly used length-of-life metrics.MethodsWe used death data from the National Center for Health Statistics for 2015-2017 and other health measures from the 2019 County Health Rankings & Roadmaps. We calculated life expectancy from birth at the county level using an abridged life table and the Chiang method of variance. Studentized residuals identified counties with discordant life expectancy and YPLL-75 or PAAM values. Correlations tested associations of life expectancy with key health measures (eg, smoking, child poverty, uninsured).ResultsAmong 3073 US counties, life expectancy ranged from 62.4 to 98.0 years, with a mean of 77.4 years. Life expectancy was strongly and negatively correlated with YPLL-75 (r = -0.91) and PAAM (r = -0.95) at the county level. Life expectancy was also associated with other key health metrics, such as smoking, employment, and education rates, where an improvement in the health factor indicated improvement in the respective length-of-life measure. Counties with discordant life expectancy and YPLL-75 or PAAM values had differing age structures.Practice implicationsCommonly used length-of-life metrics in population health settings are differentiated by methodological matters, such as computation complexity, data availability, and differential risk among age groups, especially among the very old or very young. The choice of metric should consider these factors, in addition to practical concerns, such as the communication needs of the audience.
| S-EPMC8900236 | biostudies-literature
Project description:Improving the health of urban residents, particularly those living in slum areas, requires an integrated approach. Appropriate interventions must be based on a well-grounded understanding of health determinants. Social factors are as important as physical factors in determining health status and suggest alternative interventions. Employment, stress, social exclusion, social support, substance use, nutrition, transport, and conditions during childhood are among the most important social determinants of health status identified by the International Center for Health and Society. This paper uses social determinants of health approach to understand morbidity outcomes for people residing in the slums of Surat City, India. To quantify suboptimal health behavior and identify the determinants of health status for this population survey data on household characteristics, health-seeking behavior, socioeconomic status, food and personal habits, social life, and physical activity has been used. After controlling for socioeconomic and demographic factors, logistic regression analysis reveals that social exclusion, stress, and lack of social support are significantly associated with morbidity. Thus, understanding of social determinants of health by policy makers is important as the health sector has a crucial role in addressing disparities in social determinants.
| S-EPMC2443249 | biostudies-other
Project description:IntroductionIn recent years, the country of Mongolia (population 2.8 million) has experienced rapid social changes associated with economic growth, persisting socio-economic inequities and internal migration. In order to improve health access for the urban poor, the Ministry of Health developed a "Reaching Every District" strategy (RED strategy) to deliver an integrated package of key health and social services. The aim of this article is to present findings of an assessment of the implementation of the RED strategy, and, on the basis of this assessment, articulate lessons learned for equitable urban health planning.MethodsPrincipal methods for data collection and analysis included literature review, barrier analysis of health access and in-depth interviews and group discussions with health managers and providers.FindingsThe main barriers to health access for the urban poor relate to interacting effects of poverty, unhealthy daily living environments, social vulnerability and isolation. Implementation of the RED strategy has resulted in increased health access for the urban poor, as demonstrated by health staff having reached new clients with immunization, family planning and ante-natal care services, and increased civil registrations which enable social service provision. Organizational effects have included improved partnerships for health and increased motivation of the health workforce. Important lessons learned from the early implementation of the RED strategy include the need to form strong partnerships among stakeholders at each level of the health system and in the community, as well as the need to develop a specific financing strategy to address the needs of the very poor. The diverse social context for health in an urban poor setting calls for a decentralized planning and partnership strategy, but with central level commitment towards policy guidance and financing of pro-poor urban health strategies.ConclusionsLessons from Mongolia mirror other international studies which point to the need to measure and take action on the social determinants of health at the local area level in order to adequately reduce persistent inequities in health care access for the urban poor.
| S-EPMC3349495 | biostudies-literature
Project description:This work is an implementation science study that examines different aspects of implementing a single intervention. The intervention consists of asking community health centers to implement an outreach strategy to screen patients for colorectal cancer and for social determinants of health in community health centers at the same contact point. These are both clinical targets that the CHCs feel that their patients need and want to offer at a higher rate. The intervention consists of outreach to patients in need of colorectal cancer screening (CRC) to offer fecal immunochemical test (FIT) screening and screening for social determinants of health (SDOH). In this implementation science study, the intervention is an evidence-based intervention being implemented in real-world clinical practice. The intervention is the outreach to offer FIT and SDOH, conducted by clinic staff. Both evidence-based screening activities-FIT and SDOH screening-are used in the practices included in the study but pairing them is intended to increase efficiency and patient-centeredness by addressing health related social needs that may impact patients’ ability to engage in cancer screening. The study aims to test the effect of implementing the intervention on clinical and process outcomes. Clinical outcomes are CRC screening and SDOH screening. Analysis of process outcomes includes measuring what organizational factors influence implementation.
| 2354406 | ecrin-mdr-crc
Project description:BackgroundGrowing travel connectivity and economic development have dramatically increased the magnitude of human mobility in Africa. In public health, vulnerable population groups such as mobile individuals are at an elevated risk of sexually transmitted diseases, including HIV.MethodsThe population-based Demographic Health Survey data of five Southern African countries with different HIV epidemic intensities (Angola, Malawi, South Africa, Zambia, and Zimbabwe) were used to investigate the association between HIV serostatus and population mobility adjusting for socio-demographic, sexual behavior and spatial covariates.ResultsMobility was associated with HIV seropositive status only in Zimbabwe (adjusted odds ratio [AOR] = 1.37 [95% confidence interval [CI]: 1.01-1.67]). These associations were not significant in Angola, Malawi, South Africa, and Zambia. Females had higher odds of mobility than males in Zimbabwe (AOR = 1.37, CI: 1.10-1.69). The odds of mobility decreased with age in all five countries.ConclusionsOur findings highlight the heterogeneity of the social and health determinants of mobile populations in several countries with different HIV epidemic intensities. Effective interventions using precise geographic focus combined with detailed attribute characterization of mobile populations can enhance their impact especially in areas with high density of mobile individuals and high HIV prevalence.
| S-EPMC8352162 | biostudies-literature
Project description:BackgroundCosts incurred by health systems when caring for populations with social or behavioral complexity are poorly understood. We compared the frequency and costs of unreimbursed care among individuals with complexity factors (homelessness, a history of county jail incarceration, and/or substance use disorder or mental illness [SUD/MI]).MethodsWe conducted a cross-sectional analysis using electronic health record data for adults aged 18 and older between January 1, 2016 and December 31, 2017 from a Midwestern safety-net health system. Zero-inflated negative binomial regression models were used to assess risk-adjusted associations between complexity factors and care coordination encounters, missed appointments, and excess inpatient days.ResultsOur sample included 154,719 unique patients; 6.8% were identified as homeless, 7.8% had a history of county jail incarceration, and 20.6% had SUD/MI. Individuals with complexity factors were more likely to be African-American, Native American, or covered by Medicaid. In adjusted models, homelessness and SUD/MI were significantly associated with care coordination encounters (RR 1.8 [95% CI,1.7-2.0]; RR 1.9 [95% CI,1.8-2.0]), missed appointments (RR 1.5 [95% CI,1.4-1.6]; RR 1.7 [95% CI,1.7-1.8]), and excess inpatient days (RR 1.5 [95% CI,1.3-1.8]; RR 2.8 [95% CI,2.5-3.1]). County jail incarceration was associated with a significant increase in missed appointments. In 2017, SUD/MI accounted for 81.8% ($7,773,000/$9,502,000) of excess costs among those with social or behavioral complexity.ConclusionsSocial and behavioral complexity are independently associated with high levels of unreimbursed health system resource use.ImplicationsFuture payment models should account for the health system resources required to care for populations with complex social and behavioral needs.Level of evidenceIV.
| S-EPMC7652034 | biostudies-literature
Project description:IntroductionAmerican Indians and Alaska Natives (AIAN) experience significant health inequities, yet there are very few curricula dedicated to training a culturally sensitive workforce to care for this population. There is a further dearth of curricula that center on Indigenous values and ways of knowing.MethodsWe developed a 90-minute interactive workshop aimed at increasing faculty and trainee understanding of the social and structural determinants of urban AIAN health. The workshop consisted of a PowerPoint presentation, two videos, an interactive storytelling exercise, and reflection exercises. Participants also completed pre-/postworkshop questionnaires. The workshop was implemented three times at two medical schools.ResultsThere were a total of 35 diverse participants. Regarding the effect of the workshop on participants' knowledge base, a comparison of pre- and postworkshop questionnaire responses showed a statistically significant (p < .05) increase in the correct answer being chosen for each question. All participants agreed or strongly agreed that each of the three learning objectives had been met. Participants particularly valued the workshop's interactive nature, as well as its use of storytelling and multimedia to reinforce policy impact.DiscussionThis workshop provided an interactive and effective method to increase participant knowledge of the importance of a land acknowledgment, of connecting federal Indian policy to health outcomes, and of how AIAN identity may impact access to health care.
| S-EPMC6543927 | biostudies-literature
Project description:Nutrition behavior is influenced by a large number of factors, including social and cultural factors. This scoping review aims to summarize how social determinants of health (SDoH) influence nutrition behaviors in Indigenous populations affected by or at risk of cardiometabolic diseases. Following the PRISMA-ScR guidelines, we conducted a systematic search in six databases-PubMed, Web of Science, CINAHL, PsycINFO, Cochrane Library, and World Health Organization Global Index Medicus-limiting results to studies published in English up to 27 October 2023. A descriptive synthesis was conducted. We identified 1490 articles, and after screening, 31 of them met our inclusion criteria. We found that nutritional behavior is impacted by various SDoH domains, including economic stability, neighborhood and built environment, education, health and healthcare, and social and community context. The shift from traditional diets to Westernized diets and from subsistence-based food gathering to reliance on store-bought and processed foods reflects changes in SDoH, affecting both nutrition behaviors and health outcomes. Although not all included studies examined every SDoH domain in our review, future research should consider all domains to gain a comprehensive understanding of how they impact nutritional behavior. This approach will better inform interventions and policies, ultimately promoting health equity in Indigenous communities.
| S-EPMC11356862 | biostudies-literature
Project description:We examined associations of individual-, neighborhood- and city-level education -as proxies of SES at different levels-, with diabetes, hypertension, obesity, smoking and binge drinking (non-communicable disease risk factors -NCD/RF) among Argentinian adults. We estimated mixed models based on 21,415 individuals from the 2013 National Survey of Risk Factors, living in 2,698 neighborhoods and 33 cities. Gradients by individual-level education differed by gender and NCD/RF, and some were modified by city education. In addition, we identified contextual effects of neighborhood and city education on some NCD/RF. Urban efforts to tackle NCD/RF in Argentina should be context- and gender-sensitive, and mainly focused on socially disadvantaged groups.
| S-EPMC8714870 | biostudies-literature
Project description:As the articles in this Supplement demonstrate, the social determinants of health are a major focus for Kaiser Permanente and the broader US health care system. Mounting evidence of the impact of social determinants on people’s health has stimulated a surge of activity among policymakers, health systems, and a growing number of social entrepreneurs to integrate health and social services and to find novel ways to finance those efforts. The question is no longer whether there is an appropriate role for the US health care system in addressing the social determinants of health, but what that role is, how to create the right policy context for innovation and how health care can partner more effectively with providers of social services to meet patients’ most pressing needs given the fragmented, typically underresourced nature of the social sector.
| S-EPMC6207436 | biostudies-other