Evidence map›Paper›PMID 37278813›Full record

ArticleJAMA2023

The Volume and Cost of Quality Metric Reporting.

Anirudh Saraswathula, Samantha J Merck, Ge Bai, Christine M Weston, Elizabeth Ann Skinner, April Taylor, Allen Kachalia, Renee Demski, Albert W Wu, Stephen A Berry

Abstract read
In one paragraph

Article in JAMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

39 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

10 authors.

Anirudh SaraswathulaDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Samantha J MerckDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Ge BaiCarey Business School, Johns Hopkins University, Baltimore, Maryland.
Christine M WestonJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Elizabeth Ann SkinnerJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
April TaylorJohns Hopkins Medicine, Baltimore, Maryland.
Allen KachaliaArmstrong Institute for Patient Safety and Quality, Johns Hopkins University, Baltimore, Maryland.
Renee DemskiJohns Hopkins Medicine, Baltimore, Maryland.
Albert W WuArmstrong Institute for Patient Safety and Quality, Johns Hopkins University, Baltimore, Maryland.
Stephen A BerryArmstrong Institute for Patient Safety and Quality, Johns Hopkins University, Baltimore, Maryland.

Funding

MULTIDISCIPLINARY TRAINING PROGRAM IN LUNG DISEASEST32HL007534 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Nadia N Hansel, Larissa A. Shimoda · 1985 to 2026
$28.3M
RESEARCH TRAINING IN OTOLARYNGOLOGYT32DC000027 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI CAREY, JOHN PATRICK · 1989 to 2023
$5.5M
NHLBI NIH HHS T32 HL007534NIDCD NIH HHS T32 DC000027
6 · The paper itself

Abstract

Importance: US hospitals report data on many health care quality metrics to government and independent health care rating organizations, but the annual cost to acute care hospitals of measuring and reporting quality metric data, independent of resources spent on quality interventions, is not well known. Objective: To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Design, Setting, and Participants: Retrospective time-driven activity-based costing study at the Johns Hopkins Hospital (Baltimore, Maryland) with hospital personnel involved in quality metric reporting processes interviewed between January 1, 2019, and June 30, 2019, about quality reporting activities in the 2018 calendar year. Main Outcomes and Measures: Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. Results: A total of 162 unique metrics were identified, of which 96 (59.3%) were claims-based, 107 (66.0%) were outcome metrics, and 101 (62.3%) were related to patient safety. Preparing and reporting data for these metrics required an estimated 108 478 person-hours, with an estimated personnel cost of $5 038 218.28 (2022 USD) plus an additional $602 730.66 in vendor fees. Claims-based (96 metrics; $37 553.58 per metric per year) and chart-abstracted (26 metrics; $33 871.30 per metric per year) metrics used the most resources per metric, while electronic metrics consumed far less (4 metrics; $1901.58 per metric per year). Conclusions and Relevance: Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types. Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality.

Indexed as

HospitalsPublic Reporting of Healthcare DataQuality ImprovementQuality of Health CareAdultDelivery of Health CareEconomics, HospitalHumansInsurance Claim ReviewPatient SafetyRetrospective StudiesUnited States

Identifiers

PMID37278813
PMCPMC10245189

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.