Evidence map›Paper›PMID 42818979›Full record

ArticlemedRxiv : the preprint server for health sciences2026

End-user perspectives on design and implementation of a novel SkinScan3D (SS3D) device for monitoring Kaposi Sarcoma in East Africa: a qualitative study.

Philippa Kadama Makanga, Harriet F Adhiambo, Dorothy Mangale, Martha Nansereko, Jane Frances Nalubega, Roselyn Knight, Elvin Geng, Mudhune Victor, Elizabeth Bukusi, Fred Okuku and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Philippa Kadama MakangaInfectious Diseases Institute, Makerere University, Kampala, Uganda.
Harriet F AdhiamboWashington University St Louis, USA.
Dorothy MangaleWashington University St Louis, USA.
Martha NanserekoInfectious Diseases Institute, Makerere University, Kampala, Uganda.
Jane Frances NalubegaInfectious Diseases Institute, Makerere University, Kampala, Uganda.
Roselyn KnightKenya Medical Research Institute, Kisumu, Kenya.
Elvin GengWashington University St Louis, USA.
Mudhune VictorKenya Medical Research Institute, Kisumu, Kenya.
Elizabeth BukusiKenya Medical Research Institute, Kisumu, Kenya.
Fred OkukuUganda Cancer Institute, Kampala, Uganda.
Aggrey SemeereInfectious Diseases Institute, Makerere University, Kampala, Uganda.
Thomas OdenyWashington University St Louis, USA.
Beryne OdenyWashington University St Louis, USA.ORCID 0000-0002-4429-2274

Funding

South Carolina IDeA Networks of Biomedical Research (SC INBRE V)P20GM103499 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI EDIE C GOLDSMITH · 2012 to 2026
$61.0M
University of California Launching Future Leaders in Global Health Research Training ProgramD43TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRAIG R COHEN, Sung-Jae Lee · 2017 to 2026
$14.7M
PRecision IMaging to Evaluate Kaposi Sarcoma (PRIME-KS)U01CA292765 · NCI · WASHINGTON UNIVERSITY · PI Thomas Odeny, AGGREY SEMWENDERO SEMEERE · 2024 to 2026
$1.8M
FIC NIH HHS D43 TW009343NCI NIH HHS U01 CA292765NIGMS NIH HHS P20 GM103499
6 · The paper itself

Abstract

Introduction: SkinScan3D (SS3D) is a novel, artificial intelligence-enabled device that provides objective three-dimensional measurements for monitoring Kaposi Sarcoma (KS) lesions. Prior to launching a clinical trial of the device, we obtained end-user perspectives to guide device refinement. Methods: Between April and May 2025, we conducted six focus group discussions and 28 in-depth interviews with patients, healthcare providers, and community representatives in Kenya and Uganda. Participants viewed a demonstration video and handled the SS3D prototype. Data were analyzed using hybrid deductive-inductive thematic analysis informed by the Health Information Technology Usability Evaluation Model and the Consolidated Framework for Implementation Research. Results: Qualitative findings were synthesized into a conceptual framework for SS3D adoption with two interconnected themes: 1) experiences and context, and 2) device perceptions and implementation factors. Participants' receptivity to the device was first shaped by experiences with medical technologies and the broader sociocultural context, including trust in providers, health beliefs, and gender preferences. After interacting with the prototype, participants viewed the SS3D as intuitive, accurate, and potentially capable of improving the objectivity and efficiency of KS lesion monitoring. They identified concerns related to safety, infection prevention, data security, affordability, maintenance, and workflow integration. Successful implementation was perceived to depend on device refinement, supportive organizational factors, including leadership engagement, provider training, maintenance capacity, and patient education to address misconceptions about the device. Participants proposed hardware, software, connectivity, and training refinements to support safe integration into routine clinical care. Conclusion: End users demonstrated overall satisfaction and receptivity to the SS3D, given potential benefits for both patients and providers. We identified targeted refinements to optimize the device's functionality and integration into the oncology environment to improve its fit with the local context.

Identifiers

PMID42818979
PMCPMC13622982

What OpenQuestion holds

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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.