Evidence map›Paper›PMID 29691213›Full record

ArticleJMIR research protocols2018

An mHealth App for Decision-Making Support in Wound Dressing Selection (WounDS): Protocol for a User-Centered Feasibility Study.

Scott Jordan, Jane McSwiggan, Joanne Parker, Gayle A Halas, Marcia Friesen

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
10.8field-weighted citation impact, top 2% of its field
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

10 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Wound Center Without Walls: The New Model of Providing Care During the COVID-19 Pandemic.Wounds : a compendium of clinical research and practice · 2020
    Article
  9. Article
  10. 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 at 2 institutions in 1 country.

Scott JordanDepartment of Electrical & Computer Engineering, University of Manitoba, Winnipeg, MB, Canada.ORCID http://orcid.org/0000-0002-0346-157X
Jane McSwigganWound Care, Nursing Initiatives, Winnipeg Regional Health Authority, Winnipeg, MB, Canada.ORCID http://orcid.org/0000-0003-2617-3789
Joanne ParkerDepartment of Family Medicine, University of Manitoba, Winnipeg, MB, Canada.ORCID http://orcid.org/0000-0003-3120-4519
Gayle A HalasDepartment of Family Medicine, University of Manitoba, Winnipeg, MB, Canada.ORCID http://orcid.org/0000-0003-0433-0632
Marcia FriesenDepartment of Electrical & Computer Engineering, University of Manitoba, Winnipeg, MB, Canada.ORCID http://orcid.org/0000-0001-8498-2125
University of Manitoba · CAWinnipeg Regional Health Authority · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary care health professionals, especially family physicians, see a variety of wounds, and yet-despite the frequency of providing wound care-many family physicians do not feel confident in wound care management. This is partly due to a lack of formal wound education in Family Medicine programs. While there are numerous electronic wound care resources available in the UK and North America, none were identified that address the specific need in supporting clinical decision-making in wound dressing selection. At the same time, healthcare providers are increasingly using technology in personal and professional contexts, and a logical extension is to use technology for knowledge translation strategies.

objectiveThis work developed a prototype mobile health software application named WounDS, designed to support clinical decision-making in selecting wound dressings. This article presents the development and evaluation plan for the WounDS app.

methodsWounDS has been developed on the iOS platform. The primary specification included ease of use, in that one of the primary influences in user adoption would be the ability to receive a wound dressing recommendation in under 30 seconds and under 5 taps on the screen. The WounDS app guides users through a series of binary decisions for assessing the wound and provides a wound dressing recommendation. The selection algorithm is based in best practices using the Wound Bed Preparation Paradigm.

resultsCurrent work is underway to examine the implementation needs for WounDS to be most effectively utilized and to pilot test its feasibility and use in clinical care. Data will be collected through user trials, focus groups, and user metadata will be collected within the app. Optimizing these preconditions will enable a subsequent phase of study to determine effects on clinical decision-making and clinical outcomes.

conclusionsWounDS is designed for knowledge translation, use of technology in clinical decision-making, and continuity of care. The benefits of WounDS include the potential to improve healthcare providers' competency in wound management and to improve wound healing through better alignment with evidence-based best practices in wound dressing selection, consistency in care from primary to community care, and subsequent downstream impacts in quality of life for patients.

Indexed as

mHealthwound dressingwound managementwounds

Identifiers

PMID29691213
PMCPMC5941095
OpenAlexW2800203281

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.