Evidence map›Paper›PMID 23569365›Full record

ArticlePatient preference and adherence2013

Involving patients in quality indicator development - a systematic review.

Thomas Kötter, Friederike Anna Schaefer, Martin Scherer, Eva Blozik

Abstract read
In one paragraph

Article in Patient preference and adherence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 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

30 citing papers in PubMed, 4 syntheses or guidelines 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

4 authors.

Thomas KötterInstitute for Social Medicine and Epidemiology, University of Lübeck, Lübeck, Germany ; Department of Primary Medical Care, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Friederike Anna Schaefer
Martin Scherer
Eva Blozik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality indicators (QI) are used in many health care areas to measure, compare, and improve the quality of care. Ideas of quality differ between health care providers and patients, yet patients are not regularly involved in QI development nor does a methodological standard for patient involvement in QI development exist. In this study we systematically reviewed the medical journal articles and gray literature for published approaches for involving patients in QI development.

methodsWe searched medical literature databases (Medline, Excerpta Medica database, and Cumulative Index to Nursing and Allied Health Literature), screened websites, and contacted experts in the field of QI development for publications on approaches to patient involvement in QI development.

resultsEleven relevant journal articles and four web-published documents were included. Four major approaches to patient involvement were extracted from the literature: (1) focus group interviews, (2) self-administered questionnaires, (3) individual interviews, and (4) participation in panels during systematic consensus processes. Patients' views were collected by involving patients, patient representatives, or family members.

conclusionAlthough there is a large body of literature on QI, publications that describe approaches to patient involvement in QI development are scarce. In principle, indirect and direct methods of patient involvement can be distinguished, and it seems most promising to combine different approaches. However, the limited number of publications identified clearly shows that further research in this field is overdue and that the quality of reporting found in studies within this field needs to be improved.

Indexed as

patient involvementquality indicatorquality in health carequality measurementsystematic review

Identifiers

PMID23569365
PMCPMC3616132

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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.