Evidence map›Paper›PMID 18940005›Full record

ArticleBMC health services research2008

How to limit the burden of data collection for Quality Indicators based on medical records? The COMPAQH experience.

Clément Corriol, Valentin Daucourt, Catherine Grenier, Etienne Minvielle

Abstract read
In one paragraph

Article in BMC health services research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Development of a quality assurance tool for intensive care units in Lebanon during the COVID-19 pandemic.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Computer-facilitated review of electronic medical records reliably identifies emergency department interventions in older adults.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2013
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

4 authors.

Clément CorriolCERMES - INSERM U750 - COMPAQH, Hôpital de Bicêtre, Le Kremlin-Bicêtre, France. clement.corriol@laposte.net
Valentin Daucourt
Catherine Grenier
Etienne Minvielle

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur objective was to limit the burden of data collection for Quality Indicators (QIs) based on medical records.

methodsThe study was supervised by the COMPAQH project. Four QIs based on medical records were tested: medical record conformity; traceability of pain assessment; screening for nutritional disorders; time elapsed before sending copy of discharge letter to the general practitioner. Data were collected by 6 Clinical Research Assistants (CRAs) in a panel of 36 volunteer hospitals and analyzed by COMPAQH. To limit the burden of data collection, we used the same sample of medical records for all 4 QIs, limited sample size to 80 medical records, and built a composite score of only 10 items to assess medical record completeness. We assessed QI feasibility by completing a grid of 19 potential problems and evaluating time spent. We assessed reliability (kappa coefficient) as well as internal consistency (Cronbach alpha coefficient) in an inter-observer study, and discriminatory power by analysing QI variability among hospitals.

resultsOverall, 23 115 data items were collected for the 4 QIs and analyzed. The average time spent on data collection was 8.5 days per hospital. The most common feasibility problem was misunderstanding of the item by hospital staff. QI reliability was good (kappa: 0.59-0.97 according to QI). The hospitals differed widely in their ability to meet the quality criteria (mean value: 19-85%).

conclusionThese 4 QIs based on medical records can be used to compare the quality of record keeping among hospitals while limiting the burden of data collection, and can therefore be used for benchmarking purposes. The French National Health Directorate has included them in the new 2009 version of the accreditation procedure for healthcare organizations.

Indexed as

Quality Indicators, Health CareFeasibility StudiesForms and Records ControlFranceHumansMedical RecordsQuality Assurance, Health CareWorkload

Identifiers

PMID18940005
PMCPMC2605453

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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.