Evidence map›Paper›PMID 39963544›Full record

ReviewRisk management and healthcare policy2025

Contributions of Specialized Nurses to Medication Management for Older People in Home Care: A Mixed-Method Systematic Review.

Mojtaba Vaismoradi, Patricia A Logan

Abstract readReview
In one paragraph

Review in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Mojtaba VaismoradiFaculty of Nursing and Health Sciences, Nord University, Bodø, Nordland, Norway.ORCID 0000-0002-5157-4886
Patricia A LoganFaculty of Science and Health, Charles Sturt University, Bathurst, NSW, Australia.ORCID 0000-0002-7073-3803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing international interest in defining the roles, responsibilities, and contributions of specialized nurses across various aspects of home care to establish them as effective members of multidisciplinary home care teams. This study aimed to identify and describe the contributions of specialized nurses to medication management for older people in home care. This systematic review was performed using a mixed method approach. A thorough search was conducted across PubMed (including MEDLINE), Scopus, CINAHL, ProQuest, and Embase, focusing on studies published in English over the last decade, from 2014 to 2024. The convergent synthesis was used to combine and analyze qualitative and quantitative evidence in parallel to address the review question. The initial search yielded 875 studies, which were then refined to 32 studies selected for data-based convergent synthesis. The findings of the review were organized into three categories: "specialized nurses' identities", "specialized nurses' roles and responsibilities", and "impact of specialized nurses' medication management in home care". Specialized nurses played key roles in enhancing medication safety, improving older adults' quality of life, and reducing emergency visits. Their support in medication management eased the home care burden and ensured timely interventions for better symptom control and healthcare outcomes. Specialized nurses bring vital expertise to home care multidisciplinary medication team, promoting safe medication practices and helping older adults manage chronic conditions effectively at home.

Indexed as

home caremedication managementmedication outcomenon-physician prescriberolder peoplepatient safetyspecialized nurse

Identifiers

PMID39963544
PMCPMC11831921

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.