Dataset Information

Using 3 Health Surveys to Compare Multilevel Models for Small Area Estimation for Chronic Diseases and Health Behaviors.

ABSTRACT: BACKGROUND:We used a multilevel regression and poststratification approach to generate estimates of health-related outcomes using Behavioral Risk Factor Surveillance System 2013 (BRFSS) data for the 500 US cities. We conducted an empirical study to investigate whether the approach is robust using different health surveys. METHODS:We constructed a multilevel logistic model with individual-level age, sex, and race/ethnicity as predictors (Model I), and sequentially added educational attainment (Model II) and area-level poverty (Model III) for 5 health-related outcomes using the nationwide BRFSS, the Massachusetts BRFSS 2013 (a state subset of nationwide BRFSS), and the Boston BRFSS 2010/2013 (an independent survey), respectively. We applied each model to the Boston population (2010 Census) to predict each outcome in Boston and compared each with corresponding Boston BRFSS direct estimates. RESULTS:Using Model I for the nationwide BRFSS, estimates of diabetes, high blood pressure, physical inactivity, and binge drinking fell within the 95% confidence interval of corresponding Boston BRFSS direct estimates. Adding educational attainment and county-level poverty (Models II and III) further improved their accuracy, particularly for current smoking (the model-based estimate was 15.2% by Model I and 18.1% by Model II). The estimates based on state BRFSS and Boston BRFSS models were similar to those based on the nationwide BRFSS, but area-level poverty did not improve the estimates significantly. CONCLUSION:The estimates of health-related outcomes were similar using different health surveys. Model specification could vary by surveys with different geographic coverage.

SUBMITTER: Wang Y

PROVIDER: S-EPMC6219847 | biostudies-other | 2018 Nov

REPOSITORIES: biostudies-other

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Using 3 Health Surveys to Compare Multilevel Models for Small Area Estimation for Chronic Diseases and Health Behaviors.

Wang Yan Y Holt James B JB Xu Fang F Zhang Xingyou X Dooley Daniel P DP Lu Hua H Croft Janet B JB

Preventing chronic disease 20181101

<h4>Background</h4>We used a multilevel regression and poststratification approach to generate estimates of health-related outcomes using Behavioral Risk Factor Surveillance System 2013 (BRFSS) data for the 500 US cities. We conducted an empirical study to investigate whether the approach is robust using different health surveys.<h4>Methods</h4>We constructed a multilevel logistic model with individual-level age, sex, and race/ethnicity as predictors (Model I), and sequentially added educational ...[more]

PMID: 30388068

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Project description:ObjectivesThe rapid growth of urban areas in China in the past few decades has introduced profound changes in family structure and income distribution that could plausibly affect mental health. Although multilevel studies of the influence of area-level socioeconomic factors on mental health have become more common in other parts of the world, a study of this sort has not been carried out in Chinese cities. Our objectives were to examine the associations of two key neighbourhood-level variables-median income and percentage of married individuals living in the neighbourhood-with mental disorders net of individual-level income and marital status in three Chinese cities.SettingHousehold interviews in Beijing, Shanghai and Shenzhen, PRC, as part of the cross-sectional World Mental Health Surveys.Participants4072 men and women aged 18-88 years.Primary and secondary outcome measuresLifetime and past-year internalising and externalising mental disorders.ResultsEach one-point increase in neighbourhood-level percentage of married residents was associated with a 1% lower odds of lifetime (p=0.024) and 2% lower odds of past-year (p=0.008) individual-level externalising disorder, net of individual-level marital status. When split into tertiles, individuals living in neighbourhoods in the top tertile of percentage of married residents had 54% lower odds of a past-year externalising disorder (OR=0.46, 95% CI: 0.24 to 0.87) compared with those in the bottom tertile. Neighbourhood-level marital status was not statistically associated with either lifetime or past-year internalising disorders. Neighbourhood-level income was not statistically associated with odds of either internalising or externalising disorders.ConclusionsThe proportion of married residents in respondents' neighbourhoods was significantly inversely associated with having externalising mental disorders in this sample of Chinese cities. Possible mechanisms for this finding are discussed and related to social causation, social selection and social control theories. Future work should examine these relationships longitudinally.

Project description:BackgroundSuboptimal healthcare quality may be a barrier to achieving child health improvements, yet little is known about the relationship between provider compliance with evidence-based practices and client behavior change. We assess provider compliance in the context of infant and young child feeding (IYCF) counseling, its relationship with client IYCF behaviors in Bangladesh, and explore its potential determinants.MethodsWe use data from a 2017 evaluation of an IYCF program that includes a health worker survey (n = 74), caregiver survey (n = 232), and direct service observation checklists of counseling sessions (n = 232 observations of 74 health workers). We assess the relationship between provider compliance with recommended IYCF counseling topics and behaviors (standardized to a 100-point scale) and three reported IYCF behaviors among clients using multi-level models with random effects at the health worker and sub-district (sampling) levels. We also evaluate whether health worker self-efficacy, satisfaction, and technical knowledge are associated with provider compliance.ResultsHealth worker compliance was significantly associated with reported exclusive breastfeeding for children under 6 months of age (adjusted odds ratio per 1 percentage point increase in counseling compliance score = 1.06, 95% CI 1.01, 1.12) and marginally associated with minimum dietary diversity (adjusted odds ratio per 1 percentage point increase in counseling compliance score = 1.05, 95% CI 1.00, 1.11). Counseling compliance was significantly and positively associated with both health worker self-efficacy and technical knowledge.ConclusionsWe find evidence for an association between health worker compliance and client health behaviors; however, small effect sizes suggest that behavior change is multifactorial and affected by factors beyond care quality. Improvements to technical quality of care may contribute to desired health outcomes; but policies and programs seeking to change health behaviors through counseling may also wish to target upstream factors such as self-efficacy, alongside technical skill-building and knowledge, for maximum impact.

Dataset Information

Using 3 Health Surveys to Compare Multilevel Models for Small Area Estimation for Chronic Diseases and Health Behaviors.

Publications

Using 3 Health Surveys to Compare Multilevel Models for Small Area Estimation for Chronic Diseases and Health Behaviors.

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