Objective: Pay-for-performance (P4P) is commonly used to improve health care quality in the United States and is expected to be frequently implemented under the Affordable Care Act. However, evidence supporting its use is mixed with few large-scale, rigorous evaluations of P4P. This study tests the effect of P4P on quality of care in a large-scale setting-the implementation of P4P for nursing homes by state Medicaid agencies.
Data Sources/study Setting: 2001-2009 nursing home Minimum Data Set and Online Survey, Certification, and Reporting (OSCAR) datasets.
Study Design: Between 2001 and 2009, eight state Medicaid agencies adopted P4P programs in nursing homes. We use a difference-in-differences approach to test for changes in nursing home quality under P4P, taking advantage of the variation in timing of implementation across these eight states and using nursing homes in the 42 non-P4P states plus Washington, DC as contemporaneous controls.
Principal Findings: Quality improvement under P4P was inconsistent. While three clinical quality measures (the percent of residents being physically restrained, in moderate to severe pain, and developed pressure sores) improved with the implementation of P4P in states with P4P compared with states without P4P, other targeted quality measures either did not change or worsened. Of the two structural measures of quality that were tied to payment (total number of deficiencies and nurse staffing) deficiency rates worsened slightly under P4P while staffing levels did not change.
Conclusions: Medicaid-based P4P in nursing homes did not result in consistent improvements in nursing home quality. Expectations for improvement in nursing home care under P4P should be tempered.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3657568 | PMC |
http://dx.doi.org/10.1111/1475-6773.12035 | DOI Listing |
Geriatr Nurs
January 2025
Ordine delle Professioni Infermieristiche di Bergamo, via Pietro Rovelli 45, Bergamo 24125, Italy.
Introduction/objective: The relationship between staffing levels and skill mix in nursing homes is poorly documented in Italy. This study aimed to investigate nursing staffing levels and skill mix in Northern Italian nursing homes.
Methods: A cross-sectional observational study was conducted using a questionnaire sent to several nursing homes.
Age Ageing
January 2025
Aging Research Center, Department Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Objective: We aimed to investigate the association of sociodemographic, clinical and functional characteristics with the volume of transitions and specific trajectories across living and care settings.
Methods: Using data from the Swedish National Study on Aging and Care in Kungsholmen study, we identified transitions across home (with or without social care), nursing homes, hospitals and postacute care facilities among 3021 adults aged 60+. Poisson and multistate models were used to investigate the association between sociodemographic, clinical and functional characteristics and both the overall volume and hazard ratios (HRs) of specific transitions.
J Med Syst
January 2025
Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), C/ Mare de Déu de Guadalupe, 2, Mataró, 08303, Barcelona, Spain.
Predicting health-related outcomes can help with proactive healthcare planning and resource management. This is especially important on the older population, an age group growing in the coming decades. Considering longitudinal rather than cross-sectional information from primary care electronic health records (EHRs) can contribute to more informed predictions.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Physiological Controls Research Center, University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary.
In light of the demographic shift towards an aging population, there is an increasing prevalence of dementia among the elderly. The negative impact on mental health is preventing individuals from taking proper care of themselves. For individuals requiring hospital care, those receiving home care, or as a precaution for a specific individual, it is advantageous to utilize monitoring equipment to track their biological parameters on an ongoing basis.
View Article and Find Full Text PDFSensors (Basel)
January 2025
German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, 81377 Munich, Germany.
Instrumented gait analysis is widely used in clinical settings for the early detection of neurological disorders, monitoring disease progression, and evaluating fall risk. However, the gold-standard marker-based 3D motion analysis is limited by high time and personnel demands. Advances in computer vision now enable markerless whole-body tracking with high accuracy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!