Evidence map›Paper›PMID 37348846›Full record

ArticleHealth services research2023

Accuracy of infection reporting in US nursing home ratings.

Zihan Chen, Lauren J Gleason, R Tamara Konetzka, Prachi Sanghavi

Abstract read
In one paragraph

Article in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zihan ChenDepartment of Public Health Sciences, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Lauren J GleasonDepartment of Medicine, Section of Geriatrics and Palliative Medicine, University of Chicago, Chicago, Illinois, USA.
R Tamara KonetzkaDepartment of Public Health Sciences, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0003-3016-1318
Prachi SanghaviDepartment of Public Health Sciences, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-0738-3193

Funding

Assessing and Improving Patient Safety Measurement in Nursing HomesR01HS026957 · AHRQ · UNIVERSITY OF CHICAGO · PI SANGHAVI, PRACHI · 2019 to 2022
$1.5M
AHRQ HHS R01 HS026957
6 · The paper itself

Abstract

objectiveTo assess the accuracy of nursing home-reported data on urinary tract infections (UTIs), which are publicly reported on Nursing Home Care Compare, and pneumonia, which are not publicly reported. DATA SOURCES AND STUDY

settingWe used secondary data for 100% of Medicare fee-for-service beneficiaries in the United States between 2011 and 2017. STUDY

designWe identified Medicare fee-for-service beneficiaries who were nursing home residents between 2011 and 2017 and admitted to a hospital with a primary diagnosis of UTI or pneumonia. After linking these hospital claims to resident-level nursing home-reported assessment data in the Minimum Data Set, we calculated the percentages of infections that were appropriately reported and assessed variation by resident- and nursing home-level characteristics. We developed a claims-based nursing home-level measure of hospitalized infections and estimated correlations between this and publicly reported ratings. DATA EXTRACTION

methodsMedicare fee-for-service beneficiaries who were nursing home residents and hospitalized for UTI or pneumonia during the study period were included. PRINCIPAL

findingsReporting rates were low for both infections (UTI: short-stay residents 29.1% and long-stay residents 19.2%; pneumonia: short-stay residents 66.0% and long-stay residents 70.6%). UTI reporting rates increased when counting additional assessments, but it is unclear whether these reports are for the same versus a newly developed UTI. Black residents had slightly lower reporting rates, as did nursing homes with more Black residents. Correlations between our claims-based measure and publicly reported ratings were poor.

conclusionsUTI and pneumonia were substantially underreported in data used for national public reporting. Alternative approaches are needed to improve surveillance of nursing home quality.

Indexed as

PneumoniaUrinary Tract InfectionsAgedHomes for the AgedHumansMedicareNursing HomesSkilled Nursing FacilitiesUnited Statespatient safetypneumoniapublic reportingquality of careurinary tract infection

Identifiers

PMID37348846
PMCPMC10480086

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.