Last data update: Jan 27, 2025. (Total: 48650 publications since 2009)
Records 1-2 (of 2 Records) |
Query Trace: Abeysekara P[original query] |
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Individual, community, and health facility predictors of postnatal care utilization in rural Tanzania: A multilevel analysis
Serbanescu F , Abeysekara P , Ruiz A , Schmitz M , Dominico S , Hsia J , Stupp P . Glob Health Sci Pract 2023 11 (4) INTRODUCTION: Postnatal care (PNC) is an underused service in the continuum of care for mothers and infants in sub-Saharan Africa. There is little evidence on health facility characteristics that influence PNC utilization. Understanding PNC use in the context of individual, community, and health facility characteristics may help in the development of programs for increased use. METHODS: We analyzed data from 4,353 women with recent births in Kigoma Region, Tanzania, and their use of PNC (defined as at least 1 checkup in a health facility in the region within 42 days of delivery). We used a mixed-effects multilevel logistic regression analysis to explain PNC use while accounting for household, individual, and community characteristics from a regionwide population-based reproductive health survey and for distance to and adequacy of proximal health facilities from a health facility assessment. RESULTS: PNC utilization rate was low (15.9%). Women had significantly greater odds of PNC if they had a high level of decision-making autonomy (adjusted odds ratio [aOR]: 1.56; 95% confidence interval [CI]=1.11, 2.17); had a companion at birth (aOR: 1.57; 95% CI=1.19, 2.07); had cesarean delivery (aOR: 2.27; 95% CI=1.47, 3.48); resided in Kasulu district (aOR: 3.28; 95% CI=1.94, 5.52); or resided in a community that had at least 1 adequate health facility within 5 km (aOR: 2.15; 95% CI=1.06, 3.88). CONCLUSION: Women's decision-making autonomy and presence of companionship at birth, as well as proximity to a health facility with adequate infrastructure, equipment, and workforce, were associated with increased PNC use. More efforts toward advocating for the health benefits of PNC using multiple channels and increasing quality of care in health facilities, including companionship at birth, can increase utilization rates. |
A novel approach for workforce surveillance at the US Department of Health and Human Services
Abeysekara P , Coronado F , Glynn MK , Simone PM . J Public Health Manag Pract 2019 27 (4) 412-416 BACKGROUND: Expert groups have recommended ongoing monitoring of the public health workforce to determine its ability to execute designated objectives. Resource- and time-intensive surveys have been a primary data source to monitor the workforce. We evaluated an administrative data source containing US Department of Health and Human Services (HHS) aggregate federal civil service workforce-related data to determine its potential as a workforce surveillance system for this component of the workforce. METHODS: We accessed FedScope, a publicly available online database containing federal administrative civilian HHS personnel data. Using established guidelines for evaluating surveillance systems and identified workforce characteristics, we evaluated FedScope attributes for workforce surveillance purposes. RESULTS: We determined FedScope to be a simple, highly accepted, flexible, stable, and timely system to support analyses of federal civil service workforce-related data. Data can be easily accessed, analyzed, and monitored for changes across years and draw conclusions about the workforce. FedScope data can be used to calculate demographics (eg, sex, race or ethnicity, age group, and education level), employment characteristics (ie, supervisory status, work schedule, and appointment type), retirement projections, and characterize the federal workforce into standard occupational categories. CONCLUSIONS: This study indicates that an administrative data source containing HHS personnel data can function as a workforce surveillance system valuable to researchers, public health leaders, and decision makers interested in the federal civil service public health workforce. Using administrative data for workforce development is a model that can be applicable to federal and nonfederal public health agencies and ultimately support improvements in public health. |
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