Evidence map›Paper›PMID 38363569›Full record

ArticleJAMA network open2024

Teaching and Safety-Net Hospital Penalization in the Hospital-Acquired Condition Reduction Program.

Jose A Serpa, Gretchen Gemeinhardt, Cesar A Arias, Robert O Morgan, Heidi Russell, Hongyu Miao, Cecilia M Ganduglia Cazaban

Abstract read
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Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jose A SerpaSection of Infectious Diseases, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Gretchen GemeinhardtDepartment of Management, Policy and Community Health, University of Texas School of Public Health, Houston.
Cesar A AriasCenter for Infectious Diseases, Division of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston Methodist Research Institute, Houston, Texas.
Robert O MorganDepartment of Management, Policy and Community Health, University of Texas School of Public Health, Houston.
Heidi RussellDepartment of Management, Policy and Community Health, University of Texas School of Public Health, Houston.
Hongyu MiaoDepartment of Statistics, and College of Nursing, Florida State University, Tallahassee.
Cecilia M Ganduglia CazabanDepartment of Management, Policy and Community Health, University of Texas School of Public Health, Houston.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The Hospital-Acquired Condition Reduction Program (HACRP) evaluates acute care hospitals on the occurrence of patient safety events and health care-associated infections. Since its implementation, several studies have raised concerns about the overpenalization of teaching and safety-net hospitals, and although several changes in the program's methodology have been applied in the last few years, whether these changes reversed the overpenalization of teaching and safety-net hospitals is unknown. Objective: To determine hospital characteristics associated with HACRP penalization and penalization reversal. Design, Setting, and Participants: This retrospective cross-sectional study assessed data from 3117 acute care hospitals participating in the HACRP. The HACRP penalization and hospital characteristics were obtained from Hospital Compare (2020 and 2021), the Inpatient Prospective Payment System impact file (2020), and the American Hospital Association annual survey (2018). Exposures: Hospital characteristics, including safety-net status and teaching intensity (no teaching and very minor, minor, major, and very major teaching levels). Main Outcomes and Measures: The primary outcome was HACRP penalization (ie, hospitals that fell within the worst quartile of the program's performance). Multivariable models initially included all covariates, and then backward stepwise variable selection was used. Results: Of 3117 hospitals that participated in HACRP in 2020, 779 (25.0%) were safety-net hospitals and 1090 (35.0%) were teaching institutions. In total, 771 hospitals (24.7%) were penalized. The HACRP penalization was associated with safety-net status (odds ratio [OR], 1.41 [95% CI, 1.16-1.71]) and very major teaching intensity (OR, 1.94 [95% CI, 1.15-3.28]). In addition, non-federal government hospitals were more likely to be penalized than for-profit hospitals (OR, 1.62 [95% CI, 1.23-2.14]), as were level I trauma centers (OR, 2.05 [95% CI, 1.43-2.96]) and hospitals located in the New England region (OR, 1.65 [95% CI, 1.12-2.43]). Safety-net hospitals with major teaching levels were twice as likely to be penalized as non-safety-net nonteaching hospitals (OR, 2.15 [95% CI, 1.14-4.03]). Furthermore, safety-net hospitals penalized in 2020 were less likely (OR, 0.64 [95% CI, 0.43-0.96]) to revert their HACRP penalization status in 2021. Conclusions and Relevance: Findings from this cross-sectional study indicated that teaching and safety-net hospital status continued to be associated with overpenalization in the HACRP despite recent changes in its methodology. Most of these hospitals were also less likely to revert their penalization status. A reevaluation of the program methodology is needed to avoid depleting resources of hospitals caring for underserved populations.

Indexed as

Iatrogenic DiseaseSafety-net ProvidersCross-Sectional StudiesHospitalsHumansRetrospective StudiesUnited States

Identifiers

PMID38363569
PMCPMC10873765

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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.