Evidence map›Paper›PMID 28319229›Full record

Observational studyJAMA internal medicine2017

Patient Mortality During Unannounced Accreditation Surveys at US Hospitals.

Michael L Barnett, Andrew R Olenski, Anupam B Jena

Abstract readObservational Study
In one paragraph

Observational study in JAMA internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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

3 authors.

Michael L BarnettDepartment of Health Care Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts2Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Andrew R OlenskiDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Anupam B JenaDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts4Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts5National Bureau of Economic Research, Cambridge, Massachusetts.

Funding

Physician Determinants of Health Care Spending, Quality, and Patient OutcomesDP5OD017897 · OD · HARVARD MEDICAL SCHOOL · PI JENA, ANUPAM BAPU · 2013 to 2017
$2.1M
NIH HHS DP5 OD017897
6 · The paper itself

Abstract

Importance: In the United States, hospitals receive accreditation through unannounced on-site inspections (ie, surveys) by The Joint Commission (TJC), which are high-pressure periods to demonstrate compliance with best practices. No research has addressed whether the potential changes in behavior and heightened vigilance during a TJC survey are associated with changes in patient outcomes. Objective: To assess whether heightened vigilance during survey weeks is associated with improved patient outcomes compared with nonsurvey weeks, particularly in major teaching hospitals. Design, Setting, and Participants: Quasi-randomized analysis of Medicare admissions at 1984 surveyed hospitals from calendar year 2008 through 2012 in the period from 3 weeks before to 3 weeks after surveys. Outcomes between surveys and surrounding weeks were compared, adjusting for beneficiaries' sociodemographic and clinical characteristics, with subanalyses for major teaching hospitals. Data analysis was conducted from January 1 to September 1, 2016. Exposures: Hospitalization during a TJC survey week vs nonsurvey weeks. Main Outcomes and Measures: The primary outcome was 30-day mortality. Secondary outcomes were rates of Clostridium difficile infections, in-hospital cardiac arrest mortality, and Patient Safety Indicators (PSI) 90 and PSI 4 measure events. Results: The study sample included 244 787 and 1 462 339 admissions during survey and nonsurvey weeks with similar patient characteristics, reason for admission, and in-hospital procedures across both groups. There were 811 598 (55.5%) women in the nonsurvey weeks (mean [SD] age, 72.84 [14.5] years) and 135 857 (55.5%) in the survey weeks (age, 72.76 [14.5] years). Overall, there was a significant reversible decrease in 30-day mortality for admissions during survey (7.03%) vs nonsurvey weeks (7.21%) (adjusted difference, -0.12%; 95% CI, -0.22% to -0.01%). This observed decrease was larger than 99.5% of mortality changes among 1000 random permutations of hospital survey date combinations, suggesting that observed mortality changes were not attributable to chance alone. Observed mortality reductions were largest in major teaching hospitals, where mortality fell from 6.41% to 5.93% during survey weeks (adjusted difference, -0.38%; 95% CI, -0.74% to -0.03%), a 5.9% relative decrease. We observed no significant differences in admission volume, length of stay, or secondary outcomes. Conclusions and Relevance: Patients admitted to hospitals during TJC survey weeks have significantly lower mortality than during nonsurvey weeks, particularly in major teaching hospitals. These results suggest that changes in practice occurring during periods of surveyor observation may meaningfully affect patient mortality.

Indexed as

AccreditationHospitalsMortalityPatient SafetyQuality Assurance, Health CareQuality of Health CareAgedAged, 80 and overCase-Control StudiesClostridioides difficileClostridium InfectionsFemaleHeart ArrestHospital MortalityHospitals, TeachingHumans

Identifiers

PMID28319229
PMCPMC5558148

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Registered trials

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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.