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Neighborhood characteristics as determinants of healthcare utilization - a theoretical model.

ABSTRACT: BACKGROUND:We propose using neighborhood characteristics as demand-related morbidity adjusters to improve prediction models such as the risk equalization model. RESULTS:Since the neighborhood has no explicit 'place' in healthcare demand models, we have developed the "Neighborhood and healthcare utilization model" to show how neighborhoods matter in healthcare utilization. Neighborhood may affect healthcare utilization via (1) the supply-side, (2) need, and (3) demand for healthcare - irrespective of need. Three pathways are examined in detail to explain how neighborhood characteristics influence healthcare utilization via need: the physiological, psychological and behavioral pathways. We underpin this theoretical model with literature on all relevant neighborhood characteristics relating to health and healthcare utilization. CONCLUSION:Potential neighborhood characteristics for the risk equalization model include the degree of urbanization, public and open space, resources and facilities, green and blue space, environmental noise, air pollution, social capital, crime and violence, socioeconomic status, stability, and ethnic composition. Air pollution has already been successfully tested as an important predictive variable in a healthcare risk equalization model, and it might be opportune to add more neighborhood characteristics.

SUBMITTER: Mohnen SM

PROVIDER: S-EPMC6734422 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Neighborhood characteristics as determinants of healthcare utilization - a theoretical model.

Mohnen Sigrid M SM Schneider Sven S Droomers Mariël M

Health economics review 20190306 1

<h4>Background</h4>We propose using neighborhood characteristics as demand-related morbidity adjusters to improve prediction models such as the risk equalization model.<h4>Results</h4>Since the neighborhood has no explicit 'place' in healthcare demand models, we have developed the "Neighborhood and healthcare utilization model" to show how neighborhoods matter in healthcare utilization. Neighborhood may affect healthcare utilization via (1) the supply-side, (2) need, and (3) demand for healthcar ...[more]

PMID: 30840211

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Project description:BackgroundDemand for Physiotherapy is on the rise due to increasing ageing population and consequent disability and morbidity. However, the costs of healthcare in developing countries are rising, and healthcare resources are limited making the supply of Physiotherapy services challenging in rural communities. Availability of Physiotherapy may help to reduce the burden of disability and enhance efficiency of healthcare systems. This study investigated the characteristics and associations of utilization and supply of community Physiotherapy in Nigeria.MethodsCross-sectional survey of 336 consenting community dwelling individuals from three selected communities in Nigeria was carried out. A three-section validated self-developed questionnaire which sought information on socio-demographics, utilization and supply of community Physiotherapy, as well as how to improve community Physiotherapy services was used. A household was used as the primary sampling unit in the study. Inferential and Descriptive statistics were used to assess the data.ResultsLifetime, 12-month and point utilization of physiotherapy was 21.7, 7.4 and 2.7% respectively. Physiotherapy utilization was significantly associated with level of education (p = 0.007), belief on pain as "spiritual" (p = 0.020) and religious belief (p = 0.001). The respondents with primary, secondary and tertiary education were 14.3, 13.9 and 26 times more likely to utilize physiotherapy services, respectively. Those who 'agree' or were 'not sure' that their religious belief was against physiotherapy were 92 and 83% less likely to utilize physiotherapy services, respectively compared with those who 'disagree'. Availability and supply of Physiotherapy services were mostly at the township teaching hospital (47.9%) and private hospitals (20.5%). The supply of Physiotherapy services within the communities was mostly on temporary basis (24.7%) and through visiting Physiotherapists (21.4%). Physiotherapy services utilized was mainly exercise (46.6%) and soft tissue mobilization (41.1%). Travel costs (32.6%), time constraints (27.9%) and work commitments (24.8%) were the constraints for Physiotherapy utilization while positive beliefs and higher education improved Physiotherapy utilization.ConclusionsUtilization and supply of Physiotherapy services in Nigerian rural community was low. Low utilization of Physiotherapy services in Nigerian rural communities were most significantly influenced by low educational status and beliefs about pain.

Project description:Neighborhood environment perception (NEP) has been associated with health outcomes. However, little is known about how NEP relates to routine healthcare utilization. This study investigated the relationship between NEP and independent subfactors with healthcare utilization behavior, as measured by self-reported (1) usual source of healthcare and (2) time since last routine healthcare check-up. We used cross-sectional data from the Dallas Heart Study, which features a diverse, probability-based sample of Dallas County residents ages 18 to 65. We used logistic regression modeling to examine the association of self-reported NEP and routine healthcare utilization. NEP was assessed via a questionnaire exploring residents' neighborhood perceptions, including violence, the physical environment, and social cohesion. Routine healthcare utilization was assessed via self-reported responses regarding usual source of care and time since last routine healthcare check-up. The analytic sample (N = 1706) was 58% black, 27% white, 15% Hispanic, 42% male, and had a mean age of 51 (SD = 10.3). Analysis of NEP by tertile demonstrated that younger age, lower income, and lower education were associated with unfavorable overall NEP (p trend <0.05 for each). After adjustment for potential confounders, including neighborhood deprivation, health insurance, disease burden and psychosocial factors, we found that individuals with more unfavorable perception of their physical environment were more likely to report lack of a usual source of care (p = 0.013). Individuals with more unfavorable perception of the neighborhood physical environment or greater neighborhood violence reported longer time periods since last routine visit (p = 0.001, p = 0.034 respectively). There was no relationship between perceived social cohesion and healthcare utilization. Using a multi-ethnic cohort, we found that NEP significantly associates with report of a usual source of care and time since last routine check-up. Our findings suggest that public health professionals should prioritize improving NEP since it may act as barrier to routine preventive healthcare and ideal health outcomes.

Project description:ObjectivesThere is limited evidence on how clinical outcomes differ by socioeconomic conditions among patients with coronavirus disease 2019 (COVID-19). Most studies focused on COVID-19 patients from a single hospital. Results based on patients from multiple health systems have not been reported. The objective of this study is to examine variation in patient characteristics, outcomes, and healthcare utilization by neighborhood social conditions among COVID-19 patients.MethodsWe extracted electronic health record data for 23,300 community dwelling COVID-19 patients in New York City between March 1st and June 11th, 2020 from all care settings, including hospitalized patients, patients who presented to the emergency department without hospitalization, and patients with ambulatory visits only. Zip Code Tabulation Area-level social conditions were measured by the Social Deprivation Index (SDI). Using logistic regressions and Cox proportional-hazards models, we examined the association between SDI quintiles and hospitalization and death, controlling for race, ethnicity, and other patient characteristics.ResultsAmong 23,300 community dwelling COVID-19 patients, 60.7% were from neighborhoods with disadvantaged social conditions (top SDI quintile), although these neighborhoods only account for 34% of overall population. Compared to socially advantaged patients (bottom SDI quintile), socially disadvantaged patients (top SDI quintile) were older (median age 55 vs. 53, P<0.001), more likely to be black (23.1% vs. 6.4%, P<0.001) or Hispanic (25.4% vs. 8.5%, P<0.001), and more likely to have chronic conditions (e.g., diabetes: 21.9% vs. 10.5%, P<0.001). Logistic and Cox regressions showed that patients with disadvantaged social conditions had higher risk for hospitalization (odds ratio: 1.68; 95% confidence interval [CI]: [1.46, 1.94]; P<0.001) and mortality (hazard ratio: 1.91; 95% CI: [1.35, 2.70]; P<0.001), adjusting for other patient characteristics.ConclusionSubstantial socioeconomic disparities in health outcomes exist among COVID-19 patients in NYC. Disadvantaged neighborhood social conditions were associated with higher risk for hospitalization, severity of disease, and death.

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Neighborhood characteristics as determinants of healthcare utilization - a theoretical model.

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Neighborhood characteristics as determinants of healthcare utilization - a theoretical model.

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