Evidence map›Paper›PMID 34859429›Full record

ArticleHealth services research2022

Incorporating harms into the weighting of the revised Agency for Healthcare Research and Quality Patient Safety for Selected Indicators Composite (Patient Safety Indicator 90).

Patricia A Zrelak, Garth H Utter, Kathryn M McDonald, Robert L Houchens, Sheryl M Davies, Halcyon G Skinner, Pamela L Owens, Patrick S Romano

Abstract read
In one paragraph

Article in Health services research, 2022. 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
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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

4 citing papers in PubMed.

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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

8 authors.

Patricia A ZrelakCenter for Healthcare Policy and Research, University of California Davis, Sacramento, California, USA.ORCID 0000-0002-5977-6503
Garth H UtterCenter for Healthcare Policy and Research, University of California Davis, Sacramento, California, USA.ORCID 0000-0001-7747-3429
Kathryn M McDonaldStanford University Center for Health Policy, Stanford University, Stanford, California, USA.ORCID 0000-0002-4049-5744
Robert L HouchensTruven Analytics, Ann Arbor, Michigan, USA.
Sheryl M DaviesStanford University Center for Health Policy, Stanford University, Stanford, California, USA.ORCID 0000-0001-6250-2565
Halcyon G SkinnerTruven Analytics, Ann Arbor, Michigan, USA.ORCID 0000-0002-0220-9110
Pamela L OwensAgency for Healthcare Research and Quality, Rockville, Maryland, USA.ORCID 0000-0002-9905-9664
Patrick S RomanoCenter for Healthcare Policy and Research, University of California Davis, Sacramento, California, USA.ORCID 0000-0001-6749-3979

Funding

Agency for Healthcare Research and Quality (AHRQ) HHSAA290201200003I
6 · The paper itself

Abstract

objectiveTo reweight the Agency for Healthcare Research and Quality Patient Safety for Selected Indicators Composite (Patient Safety Indicator [PSI] 90) from weights based solely on the frequency of component PSIs to those that incorporate excess harm reflecting patients' preferences for outcome-related health states. DATA SOURCES: National administrative and claims data involving hospitalizations in nonfederal, nonrehabilitation, acute care hospitals. STUDY

designWe estimated the average excess aggregate harm associated with the occurrence of each component PSI using a cohort sample for each indicator based on denominator-eligible records. We used propensity scores to account for potential confounding in the risk models for each PSI and weighted observations to estimate the "average treatment effect in the treated" for those with the PSI event. We fit separate regression models for each harm outcome. Final PSI weights reflected both the disutilities and the frequencies of the harms. DATA COLLECTION/EXTRACTION

methodsWe estimated PSI frequencies from the 2012 Healthcare Cost and Utilization Project State Inpatient Databases with present on admission data and excess harms using 2012-2013 Centers for Medicare & Medicaid Services Medicare Fee-for-Service data. PRINCIPAL

findingsIncluding harms in the weighting scheme changed individual component weights from the original frequency-based weighting. In the reweighted composite, PSIs 11 ("Postoperative Respiratory Failure"), 13 ("Postoperative Sepsis"), and 12 ("Perioperative Pulmonary Embolism or Deep Vein Thrombosis") contributed the greatest harm, with weights of 29.7%, 21.1%, and 20.4%, respectively. Regarding reliability, the overall average hospital signal-to-noise ratio for the reweighted PSI 90 was 0.7015. Regarding discrimination, among hospitals with greater than median volume, 34% had significantly better PSI 90 performance, and 41% had significantly worse performance than benchmark rates (based on percentiles).

conclusionsReformulation of PSI 90 with harm-based weights is feasible and results in satisfactory reliability and discrimination, with a more clinically meaningful distribution of component weights.

Indexed as

MedicarePatient SafetyAgedHealth Services ResearchHumansQuality Indicators, Health CareReproducibility of ResultsUnited StatesUnited States Agency for Healthcare Research and QualityAHRQcompositeharmpatient safetyPSI 90quality indicator

Identifiers

PMID34859429
PMCPMC9108039

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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.