Construction and Validation of Risk-adjusted Rates of Emergency Department Visits for Long-stay Nursing Home Residents.


Journal

Medical care
ISSN: 1537-1948
Titre abrégé: Med Care
Pays: United States
ID NLM: 0230027

Informations de publication

Date de publication:
02 2020
Historique:
pubmed: 26 11 2019
medline: 12 5 2020
entrez: 26 11 2019
Statut: ppublish

Résumé

Long-stay nursing home (NH) residents are at high risk of having emergency department (ED) visits, but current knowledge regarding risk-adjusted ED rates is limited. To construct and validate 3 quarterly risk-adjusted rates of long-stay residents' ED use: any ED visit, ED visits without hospitalization or observation stay (outpatient ED), and potentially avoidable ED visits (PAED). The authors calculated quarterly NH risk-adjusted ED rates from 2011 Q2 to 2013 Q3 national Medicare claims and Minimum Data Set data. Using random-effect linear regressions, the authors validated these rates against Nursing Home Compare overall 5-star quality ratings and examined their associations with hospitalization rates to provide a quality context. Resident-quarter observations (7.3 million) from 15,235 unique NHs. Risk-adjusted rates of any ED, outpatient ED, and PAED averaged 9.7%, 3.4%, and 3.2%, respectively. Compared with NHs with 1 or 2 stars overall rating, NHs with ≥3 stars were significantly associated with lower rates of any ED visit, outpatient ED, and PAED (β, -0.23%, -0.16%, and -0.11%, respectively; all P<0.01). Pearson Correlation coefficients between hospitalization rates and rates of any ED visit, outpatient ED, and PAED were 0.74, 0.31, and 0.46, respectively. The moderately negative associations of 5-star ratings with ED rates provide supportive evidence to their validity. Outpatient ED and PAED were moderately correlated to hospitalizations suggesting they provided more information about quality than any ED.

Sections du résumé

BACKGROUND
Long-stay nursing home (NH) residents are at high risk of having emergency department (ED) visits, but current knowledge regarding risk-adjusted ED rates is limited.
OBJECTIVES
To construct and validate 3 quarterly risk-adjusted rates of long-stay residents' ED use: any ED visit, ED visits without hospitalization or observation stay (outpatient ED), and potentially avoidable ED visits (PAED).
RESEARCH DESIGN
The authors calculated quarterly NH risk-adjusted ED rates from 2011 Q2 to 2013 Q3 national Medicare claims and Minimum Data Set data. Using random-effect linear regressions, the authors validated these rates against Nursing Home Compare overall 5-star quality ratings and examined their associations with hospitalization rates to provide a quality context.
SUBJECTS
Resident-quarter observations (7.3 million) from 15,235 unique NHs.
RESULTS
Risk-adjusted rates of any ED, outpatient ED, and PAED averaged 9.7%, 3.4%, and 3.2%, respectively. Compared with NHs with 1 or 2 stars overall rating, NHs with ≥3 stars were significantly associated with lower rates of any ED visit, outpatient ED, and PAED (β, -0.23%, -0.16%, and -0.11%, respectively; all P<0.01). Pearson Correlation coefficients between hospitalization rates and rates of any ED visit, outpatient ED, and PAED were 0.74, 0.31, and 0.46, respectively.
CONCLUSIONS
The moderately negative associations of 5-star ratings with ED rates provide supportive evidence to their validity. Outpatient ED and PAED were moderately correlated to hospitalizations suggesting they provided more information about quality than any ED.

Identifiants

pubmed: 31764481
doi: 10.1097/MLR.0000000000001246
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

174-182

Auteurs

Huiwen Xu (H)

Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY.

John R Bowblis (JR)

Department of Economics, Farmer School of Business.
Scripps Gerontology Center, Miami University, Oxford, OH.

Yue Li (Y)

Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY.

Thomas V Caprio (TV)

Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY.
Department of Medicine, Division of Geriatrics, University of Rochester School of Medicine and Dentistry, Rochester.
Geriatrics and Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, NY.

Orna Intrator (O)

Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY.
Geriatrics and Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, NY.

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