Evidence map›Paper›PMID 40198913›Full record

ArticleJMIR nursing2025

Clinical, Operational, and Economic Benefits of a Digitally Enabled Wound Care Program in Home Health: Quasi-Experimental, Pre-Post Comparative Study.

Heba Tallah Mohammed, Kathleen Corcoran, Kyle Lavergne, Angela Graham, Daniel Gill, Kwame Jones, Shivika Singal, Malini Krishnamoorthy, Amy Cassata, David Mannion and 1 more

Abstract readComparative Study
In one paragraph

Article in JMIR nursing, 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. Review
  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

11 authors.

Heba Tallah Mohammed *Swift Medical Inc, Toronto, ON, Canada.ORCID 0000-0002-0848-8384
Kathleen Corcoran *CenterWell Home Health, Greenwood, IL, United States.ORCID 0009-0006-7445-2378
Kyle Lavergne *CenterWell Home Health, Greenwood, IL, United States.ORCID 0009-0005-4821-0378
Angela Graham *CenterWell Home Health, Greenwood, IL, United States.ORCID 0009-0000-7626-1977
Daniel Gill *CenterWell Home Health, Greenwood, IL, United States.ORCID 0009-0000-9947-0536
Kwame Jones *CenterWell Home Health, Greenwood, IL, United States.ORCID 0009-0007-3673-5964
Shivika Singal *CenterWell Home Health, Greenwood, IL, United States.ORCID 0009-0005-9073-022X
Malini Krishnamoorthy *CenterWell Home Health, Greenwood, IL, United States.ORCID 0009-0006-9567-4076
Amy Cassata *Swift Medical Inc, Toronto, ON, Canada.ORCID 0000-0003-2487-9729
David Mannion *Summit Health, Boston, MA, United States.ORCID 0009-0005-9196-8002
Robert D J Fraser *Swift Medical Inc, Toronto, ON, Canada.ORCID 0000-0003-2279-4203

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe demand for home health care and nursing visits has steadily increased, requiring significant allocation of resources for wound care. Many home health agencies operate below capacity due to clinician shortages, meeting only 61% to 70% of demand and frequently declining wound care referrals. Implementing artificial intelligence-powered digital wound care solutions (DWCSs) offers an opportunity to enhance wound care programs by improving scalability and effectiveness through better monitoring and risk identification.

objectiveThis study assessed clinical and operational outcomes across 14 home health branches that adopted a DWCS, comparing pre- and postadoption data and outcomes with 27 control branches without the technology.

methodsThis pre-post comparative study analyzed clinical outcomes, including average days to wound healing, and operational outcomes, such as skilled nursing (SN) visits per episode (VPE) and in-home visit durations, during two 7-month intervals (from November to May in 2020-2021 and 2021-2022). Data were extracted from 14,278 patients who received wound care across adoption and control branches. Projected cost savings were also calculated based on reductions in SN visits.

resultsThe adoption branches showed a 4.3% reduction in SN VPE and a 2.5% reduction in visit duration, saving approximately 309 staff days. In contrast, control branches experienced a 4.5% increase in SN VPE and a 2.2% rise in visit duration, adding 42 days. Healing times improved significantly in the adoption branches, with a reduction of 4.3 days on average per wound compared to 1.6 days in control branches (P<.001); pressure injuries, venous ulcers, and surgical wounds showed the most substantial improvements.

conclusionsIntegrating digital wound management technology enhances clinical outcomes, operational efficiencies, and cost savings in home health settings. A reduction of 0.3 SN VPE could generate annual savings of up to US $958,201 across the organization. The adoption branches avoided 1187 additional visits during the study period. If control branches had implemented the DWCS and achieved similar outcomes, they would have saved 18,546 healing days. These findings emphasize the importance of incorporating DWCSs into wound care programs to address increasing demands, clinician shortages, and rising health care costs while maintaining positive clinical outcomes.

Indexed as

Cost-Benefit AnalysisHome Care ServicesWound HealingWounds and InjuriesAgedAged, 80 and overFemaleHumansMaleMiddle AgedAIartificial intelligenceclinical outcomescost savingdigital wound carehealing timehome health careoperational efficiencyskilled nursing visitswound assessment

Identifiers

PMID40198913
PMCPMC12015339

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.