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Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study.
Wagneur, Nicolas; Callier, Patrick; Zeitoun, Jean-David; Silber, Denise; Sabatier, Remi; Denis, Fabrice.
  • Wagneur N; Institut Inter-régional Jean Bernard, ELSAN, Le Mans, France.
  • Callier P; Laboratoire de génétique chromosomique et moléculaire, Centre Hospitalier Universitaire, Dijon, France.
  • Zeitoun JD; Institut National de la e-Santé, Le Mans, France.
  • Silber D; Institut National de la e-Santé, Le Mans, France.
  • Sabatier R; Centre d'Epidémiologie Clinique, Hôtel Dieu Hospital, Assistance Publique-Hopitaux de Paris, Paris, France.
  • Denis F; Institut National de la e-Santé, Le Mans, France.
J Med Internet Res ; 24(7): e39590, 2022 07 05.
Article in English | MEDLINE | ID: covidwho-1974541
ABSTRACT

BACKGROUND:

In 2020, more than 250 eHealth solutions were added to app stores each day, or 90,000 in the year; however, the vast majority of these solutions have not undergone clinical validation, their quality is unknown, and the user does not know if they are effective and safe. We sought to develop a simple prescreening scoring method that would assess the quality and clinical relevance of each app. We designed this tool with 3 health care stakeholder groups in mind eHealth solution designers seeking to evaluate a potential competitor or their own tool, investors considering a fundraising candidate, and a hospital clinician or IT department wishing to evaluate a current or potential eHealth solution.

OBJECTIVE:

We built and tested a novel prescreening scoring tool (the Medical Digital Solution scoring tool). The tool, which consists of 26 questions that enable the quick assessment and comparison of the clinical relevance and quality of eHealth apps, was tested on 68 eHealth solutions.

METHODS:

The Medical Digital Solution scoring tool is based on the 2021 evaluation criteria of the French National Health Authority, the 2022 European Society of Medical Oncology recommendations, and other provided scores. We built the scoring tool with patient association and eHealth experts and submitted it to eHealth app creators, who evaluated their apps via the web-based form in January 2022. After completing the evaluation criteria, their apps obtained an overall score and 4 categories of subscores. These criteria evaluated the type of solution and domain, the solution's targeted population size, the level of clinical assessment, and information about the provider.

RESULTS:

In total, 68 eHealth solutions were evaluated with the scoring tool. Oncology apps (22%, 20/90) and general health solutions (23%, 21/90) were the most represented. Of the 68 apps, 32 (47%) were involved in remote monitoring by health professionals. Regarding clinical outcomes, 5% (9/169) of the apps assessed overall survival. Randomized studies had been conducted for 21% (23/110) of the apps to assess their benefit. Of the 68 providers, 38 (56%) declared the objective of obtaining reimbursement, and 7 (18%) out of the 38 solutions seeking reimbursement were assessed as having a high probability of reimbursement. The median global score was 11.2 (range 4.7-17.4) out of 20 and the distribution of the scores followed a normal distribution pattern (Shapiro-Wilk test P=.33).

CONCLUSIONS:

This multidomain prescreening scoring tool is simple, fast, and can be deployed on a large scale to initiate an assessment of the clinical relevance and quality of a clinical eHealth app. This simple tool can help a decision-maker determine which aspects of the app require further analysis and improvement.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Software / Telemedicine / Quality Indicators, Health Care Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 39590

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Software / Telemedicine / Quality Indicators, Health Care Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 39590