Background And Objectives: To examine whether nursing homes (NHs) provide better quality when unemployment rates rise (countercyclical) and explore mechanisms contributing to the relationship between quality and unemployment rates.
Research Design And Methods: The study uses the data on privately owned, freestanding NHs in the continental United States that span a period from 2001 through 2015. The empirical analysis relies on panel fixed-effect regressions with the key independent variable being the county-level unemployment rate. NH quality is measured using deficiencies, outcomes, and care process measures. We also examine nursing staff levels, as well as employee turnover and retention.
Results: NHs have better quality when unemployment rates increase. Higher unemployment rates are associated with fewer deficiencies and lower deficiency scores. This countercyclical relationship is also found among other quality measures. In terms of mechanisms, we find higher nursing staff levels, lower employee turnover, and better workforce retention when unemployment rates rise. Improvement in staffing is likely contributing to better quality during recessions. Interestingly, these effects predominately occur in for-profit NHs for deficiencies and staffing levels.
Discussions And Implications: NH quality is countercyclical. With near record-low unemployment rates in 2018, regulatory agencies should pay close attention to NH quality when and where the local economy registers strong growth. On the other hand, the finding of the unemployment rate-staffing/turnover relationship also suggests that policies increasing staffing and reducing employee turnover may not only improve NH quality but also have the potential to smooth quality fluctuations between business cycles.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/geront/gny148 | DOI Listing |
BMJ Open
December 2024
Division of Research, Kaiser Permanente, Pleasanton, California, USA.
Objectives: The US Preventive Services Task Force recommends screening of adults aged 35-70 with a body mass index ≥25 kg/m for type 2 diabetes and referral of individuals who screen positive for pre-diabetes to evidence-based prevention strategies. The diabetes burden in the USA is predicted to triple by 2060 necessitating strategic diabetes prevention efforts, particularly in areas of highest need. This study aimed to identify pre-diabetes hotspots using geospatial mapping to inform targeted diabetes prevention strategies.
View Article and Find Full Text PDFBMC Res Notes
January 2025
UQ Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.
Objectives: This data note presents a comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, alongside key environmental factors such as air pollutants, built environment indicators, green spaces, and urban density. Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions.
Data Description: This dataset includes detailed epidemiologic and geospatial information on CVD hospitalizations in Mashhad, Iran, from January 1, 2016, to December 31, 2020.
J Intensive Care Soc
January 2025
Intensive Care Unit, Royal Liverpool University Hospital, Liverpool, UK.
Background: The psychological impact of surviving an admission to an intensive care unit (ICU) with COVID-19 is uncertain. The objective of the study was to assess the prevalence of anxiety, depression and post-traumatic stress disorder (PTSD) symptoms in ICU survivors treated for COVID-19 infection, and identify risk factors for psychological distress.
Methods: This observational study was conducted at 52 ICUs in the United Kingdom.
Sci Rep
January 2025
Babson College, Wellesley, USA.
The COVID-19 pandemic has been a time of great intensity that exposed many existing inequities in facing this global threat. Building on Galtung's conceptualization of positive peace as the absence of structural violence and institutionalized inequality, we study the gendered effect of the COVID-19 pandemic on reported subjective wellbeing (SWB) in four countries in the Middle East. Data from mobile phone panel surveys, with a total sample of 12,614 observations collected during this critical juncture, show that women consistently reported a lower level of SWB than men in all four countries.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!