Evidence map›Paper›PMID 42401885›Full record

ArticleBMC nursing2026

Adaptation of a clinical practice guideline for home care nursing in heart failure patients: a multi-method study.

Leila Hashemlu, Roghayeh Esmaeili, Fatemeh Bahramnezhad, Camelia Rohani

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Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Leila Hashemlu *Non-Communicable Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID http://orcid.org/0009-0003-3400-793X
Roghayeh EsmaeiliDepartment of Medical-Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Vali-Asr Avenue, Cross of Vali-Asr and Neiaiesh Highway, Opposite to Rajaee Heart Hospital, Tehran, 1996835119, Iran. r.esmaieli@sbmu.ac.ir.ORCID http://orcid.org/0000-0002-5274-5704
Fatemeh BahramnezhadDepartment of ICU Nursing, School of Nursing & Midwifery, Nursing and Midwifery Care Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Camelia Rohani *Independent Researcher, Stockholm, Sweden. camelia.rohani@sbmu.ac.ir.ORCID http://orcid.org/0000-0002-6456-6586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe demand for home healthcare services for chronic conditions has increased due to the transition of care from hospitals to the home. This study aimed to adapt a Clinical Practice Guideline (CPG) for home-based nursing care of adult patients with heart failure in the healthcare system of Iran.

methodsThis study was conducted using a multi-method design within the 10-step framework of the Practice Guidelines Evaluation and Adaptation Cycle (PGEAC). A systematic review was conducted in PubMed, Scopus, Web of Science, and nine publicly accessible CPG databases to find relevant guidelines. Subsequently, a robust CPG was selected based on the Appraisal of Guidelines for Research and Evaluation-II (AGREE-II) checklist. After translating the guideline, a search for supporting evidence was conducted in databases for each guideline recommendation, and the results were classified based on the level of evidence. Next, a qualitative study was conducted to strengthen recommendations with a weak evidence level and uncover additional recommendations and domains. The preliminary draft of the CPG was then evaluated in an expert panel meeting. In the final phase, the adapted CPG was validated through three Delphi rounds.

results"Adapting Heart Failure Guidelines for Nursing Care in Home Health Settings," was selected as an appropriate CPG with 145 recommendations within five domains. Following translation and evaluation of the evidence level, 26 recommendations were categorized in the weak level of evidence. In the qualitative phase, these recommendations were further examined, and also 26 new recommendations were developed; 12 under the domain of the "Generic care in heart failure" and 14 within two newly identified domains. Twenty-one recommendations were removed during the expert panel meeting, as well as 33 ones in the first Delphi round, due to duplication or not being applicable the Iranian healthcare system. The final adapted CPG included 117 recommendations within six domains.

conclusionsThis adapted CPG provides a robust framework for nurses and other healthcare professionals to deliver home healthcare services for Iranian heart failure patients and their families. It can enhance the quality of home-based care, reduce hospital readmissions, improve patients' outcomes, and the cost-effectiveness of home-based care programs.

Indexed as

AdaptationClinical practice guidelineHeart failureHome careNursing

Identifiers

PMID42401885
PMCPMC13613711

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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.