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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedLuo Q, Dor A, Pittman P
Optimal staffing in community health centers to improve quality of care.
The authors explored optimal workforce configurations in the production of care quality in community health centers (CHCs), accounting for interactions among occupational categories, as well as contributions to the volume of services. By linking the Uniform Data System with Internal Revenue Service nonprofit tax return data, they found that primary care physicians and advanced practice clinicians achieved similar quality outcomes. They recommended that CHCs optimize their workforce configuration to improve quality with further hiring of advanced practice clinicians as a cost-effective investment for CHCs.
AHRQ-funded; HS026816.
Citation: Luo Q, Dor A, Pittman P .
Optimal staffing in community health centers to improve quality of care.
Health Serv Res 2021 Feb;56(1):112-22. doi: 10.1111/1475-6773.13566..
Keywords: Community-Based Practice, Workforce, Quality of Care
Wilson BL, Butler RJ
Identifying optimal labor and delivery nurse staffing: the case of cesarean births and nursing hours.
Numerous studies have identified a relationship between nurse staffing and adverse patient outcomes in medical / surgical patient populations. However, little is known about the impact of labor and delivery (L&D) nurse staffing and adverse birth outcomes, such as unintended cesarean delivery, in low-risk term-gestation women. In this study the investigators examined nurse staffing patterns on the likelihood of cesarean sections (C-sections) among low- risk, full gestation births and provided a testing framework to distinguish optimal from ineffective levels of nurse staffing.
AHRQ-funded; HS024607.
Citation: Wilson BL, Butler RJ .
Identifying optimal labor and delivery nurse staffing: the case of cesarean births and nursing hours.
Nurs Outlook 2021 Jan-Feb;69(1):84-95. doi: 10.1016/j.outlook.2020.07.003..
Keywords: Provider: Nurse, Provider, Workforce, Labor and Delivery, Pregnancy, Quality of Care, Risk, Women
Ward ST, Dimick JB, Zhang W
Association between hospital staffing models and failure to rescue.
The purpose of this study was to identify hospital staffing models associated with failure to rescue (FTR) rates at low- and high-performing hospitals. The investigators concluded that low FTR hospitals had significantly more staffing resources than high FTR hospitals. They indicated that although hiring additional staff may be beneficial, there remain significant financial limitations for many hospitals to implement robust staffing models.
AHRQ-funded; HS023621; HS024403.
Citation: Ward ST, Dimick JB, Zhang W .
Association between hospital staffing models and failure to rescue.
Ann Surg 2019 Jul;270(1):91-94. doi: 10.1097/sla.0000000000002744..
Keywords: Patient Safety, Hospitals, Workforce, Quality Indicators (QIs), Quality Improvement, Quality of Care, Healthcare Delivery