Current Search:  Rural health services (x)

View All Items

  • CSV Spreadsheet
(1 - 2 of 2)
DETERMINANTS OF PRODUCTIVITY IN HOSPITAL-BASED RURAL HEALTH CLINICS: A GROWTH CURVE MODELING APPROACH
Title
DETERMINANTS OF PRODUCTIVITY IN HOSPITAL-BASED RURAL HEALTH CLINICS: A GROWTH CURVE MODELING APPROACH.
Creator
Agiro, Abiy, Wan, Thomas, University of Central Florida
Abstract / Description
The Patient Protection and Affordable Care Act of 2010 expanded rural Medicaid and Medicare coverage. However, different vehicles of delivering care (e.g., hospitals, health clinics, etc.) have differing organizational capacity that may or may not enable them to overcome the challenges of expanded provision. Consequently, this research employed structural contingency and organizational performance models to investigate the impact of organizational factors on productivity growth, while...
Show moreThe Patient Protection and Affordable Care Act of 2010 expanded rural Medicaid and Medicare coverage. However, different vehicles of delivering care (e.g., hospitals, health clinics, etc.) have differing organizational capacity that may or may not enable them to overcome the challenges of expanded provision. Consequently, this research employed structural contingency and organizational performance models to investigate the impact of organizational factors on productivity growth, while recognizing that contextual factors also affect the delivery of care. Latent growth curve modeling was used to study a national panel of 708 U.S. hospital-based Rural Health Clinics for the years 2005 to 2008. Productivity was measured through dynamic slacks-based data envelopment analyses. Unconditional and conditional linear growth curve models were fitted to data. Findings revealed that 1) hospital-based clinics with higher baseline levels of productivity in 2005 had a slower rate of growth in productivity for the years 2006 to 2008, 2) hospital-based clinics with physicians had significantly higher productivity, 3) hospital-based clinics in urban focused areas had significantly higher productivity, 4) newer hospital-based clinics had significantly higher productivity, and 5) prospective payment system was negatively related to the rate of change in productivity growth. Organizational and contextual factors included in this study significantly explained initial differences in productivity but were unable to explain productivity growth.Future research could improve the study by 1) including additional explanatory variables, such as the use of technology and disease management programs, 2) adjusting productivity measures by case mix measures, and 3) conducting truncated panel data regression with Monte Carlo simulation.
Show less
Date Issued
2011
Identifier
CFE0003912, ucf:48753
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0003912
Factors Contributing to Low Adequate Prenatal Care Rates in Orange County, Florida
Title
Factors Contributing to Low Adequate Prenatal Care Rates in Orange County, Florida.
Creator
Daniel, Lauren, Donley, Amy, Hinojosa, Melanie, University of Central Florida
Abstract / Description
In 2017, only 56% of births in Orange County, Florida, received adequate prenatal care(-)care that has been shown to prevent maternal and infant death. The Florida Department of Health uses the Kotelchuck Index to determine care adequacy. This index rates care adequacy based on when the mother first receives care, and how many recommended appointments she attends. Prenatal care is rated (")inadequate(") if it starts after the fourth month of pregnancy, and/or if less than half of the...
Show moreIn 2017, only 56% of births in Orange County, Florida, received adequate prenatal care(-)care that has been shown to prevent maternal and infant death. The Florida Department of Health uses the Kotelchuck Index to determine care adequacy. This index rates care adequacy based on when the mother first receives care, and how many recommended appointments she attends. Prenatal care is rated (")inadequate(") if it starts after the fourth month of pregnancy, and/or if less than half of the recommended appointments are attended. Receiving earlier and consistent prenatal care has been shown to be an effective way to improve birth outcomes.In Florida, counties that have low adequate prenatal care rates like Orange County's tend to be less populous and rural. However, Orange County stands out with its large population of 1.3 million and more urban environment; other Florida counties similar in population and environment to Orange tend to have rates like that of the state's, at approximately 70%.The objective of this study is to determine which factors contribute most significantly to prenatal care inadequacy in Orange, Duval, Hillsborough, Miami-Dade, and Pinellas counties; determine the differences between the most significant factors in Orange County and those in the other four counties; and to determine if residing in Orange County in of itself a risk factor for inadequate prenatal care, using logistic regression. By identifying factors that may lead to low adequacy rates, interventions intended to increase care adequacy in Orange County can be better targeted towards populations in need.
Show less
Date Issued
2019
Identifier
CFE0007447, ucf:52715
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0007447