ArticleNPJ primary care respiratory medicine2022
Development of primary care quality indicators for chronic obstructive pulmonary disease using a Delphi-derived method.
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.
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Who cites it
5 citing papers in PubMed.
- Development of Quality Indicators for the Correct Use of Electronic Medical Records in Primary Care: Modified Delphi Study.JMIR medical informatics · 2026Article
- Defining quality indicators for atherosclerotic cardiovascular diseases in primary care, extractable from the electronic health record: a RAND-modified Delphi method.BMC primary care · 2025Article
- Quality indicators for pharmacist follow-up of diabetes mellitus: A RAND-modified Delphi method.International journal of clinical pharmacy · 2025Article
- Chronic Obstructive Lung Disease: Treatment Guidelines and Recommendations for Referral and Multidisciplinary Continuity of Care.Journal of clinical medicine · 2024Review
- Low Prevalence of Chronic Obstructive Pulmonary Disease in Greenland-A Call for Increased Focus on the Importance of Diagnosis Coding.International journal of environmental research and public health · 2023Observational
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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