Evidence map›Paper›PMID 35304476›Full record

ArticleNPJ primary care respiratory medicine2022

Development of primary care quality indicators for chronic obstructive pulmonary disease using a Delphi-derived method.

Sigrid Dewaele, Steve Van den Bulck, Lien Gerne, Bert Vaes

Abstract read
In one paragraph

Article in NPJ primary care respiratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 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

4 authors.

Sigrid DewaeleDepartment of Public Health and Primary Care, Academic Center For General Practice, KU Leuven, Kapucijnenvoer 7 blok H, Box 7001, 3000, Leuven, Belgium.ORCID 0000-0001-7375-0636
Steve Van den BulckDepartment of Public Health and Primary Care, Academic Center For General Practice, KU Leuven, Kapucijnenvoer 7 blok H, Box 7001, 3000, Leuven, Belgium. steve.vandenbulck@kuleuven.be.ORCID 0000-0003-0744-3923
Lien GerneDepartment of Public Health and Primary Care, Academic Center For General Practice, KU Leuven, Kapucijnenvoer 7 blok H, Box 7001, 3000, Leuven, Belgium.
Bert VaesDepartment of Public Health and Primary Care, Academic Center For General Practice, KU Leuven, Kapucijnenvoer 7 blok H, Box 7001, 3000, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-quality care for patients with COPD is necessary. To achieve quality improvement in primary care, the general practitioner and the electronic health record (EHR) play an important role. The aim of this study was to develop a set of evidence-based and EHR extractable quality indicators (QIs) to measure and improve the quality of COPD primary care. We composed a multidisciplinary expert panel of 12 members, including patients, and used a RAND-modified Delphi method. The SMART principle was applied to select recommendations and QIs from international guidelines as well as existing sets of QIs, and these recommendations and QIs were added to an individual written questionnaire. Based on the median score, prioritization and degree of agreement, the recommendations and QIs were rated as having a high, uncertain or low potential to measure the quality of COPD primary care and were then discussed in an online consensus meeting for inclusion or exclusion. After a final validation, a core set of recommendations was translated into QIs. From 37 recommendations, obtained out of 10 international guidelines, and 5 existing indicators, a core set of 18 recommendations and 2 QIs was derived after the rating procedure. The expert panel added one new recommendation. Together, the recommendations and QIs were translated and merged into a final set of 21 QIs. Our study developed a set of 21 evidence-based and EHR-extractable QIs for COPD in primary care. These indicators can be used in an automated quality assessment to measure and improve the quality of COPD primary care.

Indexed as

Pulmonary Disease, Chronic ObstructiveQuality Indicators, Health CareConsensusElectronic Health RecordsHumansPrimary Health Care

Identifiers

PMID35304476
PMCPMC8933430

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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.