Evidence map›Paper›PMID 42145789›Full record

ArticleNursing research and practice2026

Implementation of Clinical Algorithms in Complex Wound Care: A Pilot Study on Feasibility and Professional Acceptance.

Marques R, Lopes M, Pais-Vieira C, Neves-Amado J, Alves P

Abstract read
In one paragraph

Article in Nursing research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Marques RCentre for Interdisciplinary Research in Health, Faculdade de Ciências da Saúde e Enfermagem, Universidade Católica Portuguesa, Porto, Portugal, ucp.pt.ORCID https://orcid.org/0000-0002-6701-3530
Lopes MSchool of Nursing Department, Universidade Federal Ceará, Fortaleza, Brazil.ORCID https://orcid.org/0000-0001-5867-8023
Pais-Vieira CCentre for Interdisciplinary Research in Health, Faculdade de Ciências da Saúde e Enfermagem, Universidade Católica Portuguesa, Porto, Portugal, ucp.pt.ORCID https://orcid.org/0000-0002-9262-0375
Neves-Amado JCentre for Interdisciplinary Research in Health, Faculdade de Ciências da Saúde e Enfermagem, Universidade Católica Portuguesa, Porto, Portugal, ucp.pt.ORCID https://orcid.org/0000-0002-5330-779X
Alves PCentre for Interdisciplinary Research in Health, Faculdade de Ciências da Saúde e Enfermagem, Universidade Católica Portuguesa, Porto, Portugal, ucp.pt.ORCID https://orcid.org/0000-0002-6348-3316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Mobile applications that integrate clinical algorithms have the potential to standardize wound assessment and to support clinical decision-making across assessment, diagnostic support, and therapeutic planning in complex wound care. This pilot study explored the feasibility of implementing such algorithms in a mobile application and examined concordance with nurse assessments and professional acceptance. Methods: A prospective multicenter pilot cohort study was conducted between June and October 2023 in rehabilitation units, outpatient clinics, primary healthcare, homecare, and hospitals. Adults aged ≥ 18 years with pressure injuries/pressure ulcers, venous leg ulcers, arterial ulcers, or diabetic foot ulcers were eligible. Nurses recorded data using the Results: A total of 49 patients with 56 wounds (mean age = 79 years) were included. Pressure injuries/pressure ulcers were most prevalent (71.4%), particularly categories 3 (25%) and 4 (23.2%). The algorithm provided diagnoses for 46 wounds, with fair overall concordance with nurse assessments ( Conclusions: Clinical algorithms can be feasibly integrated into mobile applications and are well accepted by nurses across diverse care contexts. These preliminary findings highlight the potential of algorithm-driven tools to support wound assessment and decision-making, while underscoring the need for larger studies with more robust designs to confirm clinical impact.

Indexed as

clinical decision supportcomplex wound carefeasibility studymobile health (mHealth)nursing informaticsprofessional acceptancewound assessment

Identifiers

PMID42145789
PMCPMC13179419

What OpenQuestion holds

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Registered trials

None linked

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.