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Am J Phys Med Rehabil ; 100(12): 1115-1123, 2021 12 01.
Article in English | MEDLINE | ID: covidwho-1522398

ABSTRACT

OBJECTIVE: The aim of the study was to present: (1) physiatric care delivery amid the SARS-CoV-2 pandemic, (2) challenges, (3) data from the first cohort of post-COVID-19 inpatient rehabilitation facility patients, and (4) lessons learned by a research consortium of New York and New Jersey rehabilitation institutions. DESIGN: For this clinical descriptive retrospective study, data were extracted from post-COVID-19 patient records treated at a research consortium of New York and New Jersey rehabilitation inpatient rehabilitation facilities (May 1-June 30, 2020) to characterize admission criteria, physical space, precautions, bed numbers, staffing, employee wellness, leadership, and family communication. For comparison, data from the Uniform Data System and eRehabData databases were analyzed. The research consortium of New York and New Jersey rehabilitation members discussed experiences and lessons learned. RESULTS: The COVID-19 patients (N = 320) were treated during the study period. Most patients were male, average age of 61.9 yrs, and 40.9% were White. The average acute care length of stay before inpatient rehabilitation facility admission was 24.5 days; mean length of stay at inpatient rehabilitation facilities was 15.2 days. The rehabilitation research consortium of New York and New Jersey rehabilitation institutions reported a greater proportion of COVID-19 patients discharged to home compared with prepandemic data. Some institutions reported higher changes in functional scores during rehabilitation admission, compared with prepandemic data. CONCLUSIONS: The COVID-19 pandemic acutely affected patient care and overall institutional operations. The research consortium of New York and New Jersey rehabilitation institutions responded dynamically to bed expansions/contractions, staff deployment, and innovations that facilitated safe and effective patient care.


Subject(s)
COVID-19/rehabilitation , Facilities and Services Utilization/statistics & numerical data , Health Services Needs and Demand/statistics & numerical data , Inpatients/statistics & numerical data , Subacute Care/statistics & numerical data , Acute Disease , Critical Care/statistics & numerical data , Databases, Factual , Female , Functional Status , Humans , Length of Stay/statistics & numerical data , Male , Middle Aged , New Jersey , New York , Patient Discharge/statistics & numerical data , Retrospective Studies , SARS-CoV-2 , Subacute Care/methods , Treatment Outcome
2.
PLoS One ; 15(10): e0240624, 2020.
Article in English | MEDLINE | ID: covidwho-992680

ABSTRACT

BACKGROUND: There is increasing demand for post-acute care services, which is amplified by the COVID-19 pandemic. AIMS: We studied the pattern of spatial association between post-acute care services and acute care facilities and evaluated how geographic variability could influence their use. METHODS: We compiled data on CMS-certified acute care and critical access hospitals and post-acute health care services (nursing homes, home health care services, inpatient rehabilitation facilities, long-term care hospitals, and hospice facilities). We used the colocation quotient (CLQ) to measure the magnitude and direction of association (clustering or segregation) between post-acute care providers and hospitals. This metric allows pairwise comparison of categorical data; a value <1 indicates spatial segregation and a value >1 spatial clustering. Unity marks the lack of spatial dependence (random distribution). RESULTS: With the exception of nursing homes (CLQ 1.26), all other types of post-acute care providers are spatially segregated from rural critical access hospitals. Long-term care facilities ranked first (had the lowest global CLQ, 0.06), hospice facilities ranked last (had the highest global CLQ estimate, 0.54). Instead, post-acute care services either clustered with (inpatient rehabilitation 2.76, long-term care 2.10, nursing homes 1.37) or were only weakly segregated (home health care 0.86) from acute care hospitals. Home health care (1.44), hospice services (1.46), and nursing homes (1.08) spatially clustered with the same category of services. Results were robust in the sensitivity analysis and we provided illustrative examples of local variation for the states of MA and IA. CONCLUSION: Post-acute care services are isolated from critical access hospitals, and have a clustering pattern with the same category services and acute care hospitals. Such misdistribution of resources may result in both underuse and a substitution effect on the type of post-acute care between rural and urban areas and undermine public health during increasing demand, such as the COVID-19 pandemic.


Subject(s)
Coronavirus Infections/pathology , Critical Care/statistics & numerical data , Pneumonia, Viral/pathology , Spatial Analysis , Subacute Care/statistics & numerical data , Betacoronavirus/isolation & purification , COVID-19 , Coronavirus Infections/virology , Hospitals/statistics & numerical data , Humans , Nursing Homes/statistics & numerical data , Pandemics , Pneumonia, Viral/virology , SARS-CoV-2 , United States
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