Evidence map›Paper›PMID 18454777›Full record

ArticleHealth services research2008

Hospital quality: a PRIDIT approach.

Robert D Lieberthal

Erratum issuedAbstract read
In one paragraph

Article in Health services research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

1 author.

Robert D LieberthalHealth Care Systems Department, The Wharton School, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA 19104, USA.

Funding

ADVANCED TRAINING IN HEALTH SERVICES RESEARCHT32HS000009 · AHRQ · UNIVERSITY OF PENNSYLVANIA · PI PAULY, MARK · 1986 to 2012
$2.9M
AHRQ HHS 5-T32-HS000009AHRQ HHS T32 HS000009
6 · The paper itself

Abstract

backgroundAccess to high quality medical care is an important determinant of health outcomes, but the quality of care is difficult to determine.

objectiveTo apply the PRIDIT methodology to determine an aggregate relative measure of hospital quality using individual process measures.

designRetrospective analysis of Medicare hospital data using the PRIDIT methodology. SUBJECTS: Four-thousand-two-hundred-seventeen acute care and critical access hospitals that report data to CMS' Hospital Compare database. MEASURES: Twenty quality measures reported in four categories: heart attack care, heart failure care, pneumonia care, and surgical infection prevention and five structural measures of hospital type.

resultsRelative hospital quality is tightly distributed, with outliers of both very high and very low quality. The best indicators of hospital quality are patients given assessment of left ventricular function for heart failure and patients given beta-blocker at arrival and patients given beta-blocker at discharge for heart attack. Additionally, teaching status is an important indicator of higher quality of care.

conclusionsPRIDIT allows us to rank hospitals with respect to quality of care using process measures and demographic attributes of the hospitals. This method is an alternative to the use of clinical outcome measures in measuring hospital quality. Hospital quality measures should take into account the differential value of different quality indicators, including hospital "demographic" variables.

Indexed as

Evaluation Studies as TopicQuality Indicators, Health CareQuality of Health CareCritical CareEmergency Service, HospitalHospitalsHumansMedicareRetrospective StudiesUnited States

Identifiers

PMID18454777
PMCPMC2442235

What OpenQuestion holds

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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.