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Quality benchmarking of smartphone laboratory medicine applications: comparison of laboratory medicine specialists' and non-laboratory medicine professionals' evaluation
S. Jovičić, J. Siodmiak, MD. Alcorta, M. Kittel, W. Oosterhuis, KM. Aakre, P. Jørgensen, V. Palicka, M. Kutt, M. Anttonen, MG. Velizarova, J. Marc
Jazyk angličtina Země Německo
Typ dokumentu časopisecké články
PubMed
33554583
DOI
10.1515/cclm-2020-0869
Knihovny.cz E-zdroje
- MeSH
- benchmarking MeSH
- chytrý telefon MeSH
- dospělí MeSH
- laboratoře MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mobilní aplikace * MeSH
- telemedicína * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
OBJECTIVES: There are many mobile health applications (apps) now available and some that use in some way laboratory medicine data. Among them, patient-oriented are of the lowest content quality. The aim of this study was to compare the opinions of non-laboratory medicine professionals (NLMP) with those of laboratory medicine specialists (LMS) and define the benchmarks for quality assessment of laboratory medicine apps. METHODS: Twenty-five volunteers from six European countries evaluated 16 selected patient-oriented apps. Participants were 20-60 years old, 44% were females, with different educational degrees, and no professional involvement in laboratory medicine. Each participant completed a questionnaire based on the Mobile Application Rating Scale (MARS) and the System Usability Scale, as previously used for rating the app quality by LMS. The responses from the two groups were compared using the Mann-Whitney U test and Spearman correlation. RESULTS: The median total score of NLMP app evaluation was 2.73 out of 5 (IQR 0.95) compared to 3.78 (IQR 1.05) by the LMS. All scores were statistically significantly lower in the NLMP group (p<0.05), except for the item Information quality (p=0.1631). The suggested benchmarks for a useful appear: increasing awareness of the importance and delivering an understanding of persons' own laboratory test results; understandable terminology; easy to use; appropriate graphic design, and trustworthy information. CONCLUSIONS: NLMP' evaluation confirmed the low utility of currently available laboratory medicine apps. A reliable app should contain trustworthy and understandable information. The appearance of an app should be fit for purpose and easy to use.
Department of Clinical Chemistry Zuyderland Medical Center Heerlen Sittard The Netherlands
Department of Clinical Medicine University of Bergen Bergen Norway
Department of Heart Disease Haukeland University Hospital Bergen Norway
Department of Laboratory Medicine La Paz University Hospital Madrid Spain
Department of Medical Biochemistry and Pharmacology Haukeland University Hospital Bergen Norway
Institute for Clinical Chemistry University of Medicine Mannheim Germany
Laboratory of Diagnostics Division North Estonia Medical Centre Foundation Talinn Estonia
Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
University of Ljubljana Faculty of Pharmacy Ljubljana Slovenia
Citace poskytuje Crossref.org
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- $a OBJECTIVES: There are many mobile health applications (apps) now available and some that use in some way laboratory medicine data. Among them, patient-oriented are of the lowest content quality. The aim of this study was to compare the opinions of non-laboratory medicine professionals (NLMP) with those of laboratory medicine specialists (LMS) and define the benchmarks for quality assessm $a OBJECTIVES There are many mobile health applications apps now available and some that use in some way laboratory medicine data Among them patient oriented are of the lowest content quality The aim of this study was to compare the opinions of non laboratory medicine professionals NLMP with those of laboratory medicine specialists LMS and define the benchmarks for quality assessment of lab $a OBJECTIVES: There are many mobile health applications (apps) now available and some that use in some way laboratory medicine data. Among them, patient-oriented are of the lowest content quality. The aim of this study was to compare the opinions of non-laboratory medicine professionals (NLMP) with those of laboratory medicine specialists (LMS) and define the benchmarks for quality assessment of laboratory medicine apps. METHODS: Twenty-five volunteers from six European countries evaluated 16 selected patient-oriented apps. Participants were 20-60 years old, 44% were females, with different educational degrees, and no professional involvement in laboratory medicine. Each participant completed a questionnaire based on the Mobile Application Rating Scale (MARS) and the System Usability Scale, as previously used for rating the app quality by LMS. The responses from the two groups were compared using the Mann-Whitney U test and Spearman correlation. RESULTS: The median total score of NLMP app evaluation was 2.73 out of 5 (IQR 0.95) compared to 3.78 (IQR 1.05) by the LMS. All scores were statistically significantly lower in the NLMP group (p<0.05), except for the item Information quality (p=0.1631). The suggested benchmarks for a useful appear: increasing awareness of the importance and delivering an understanding of persons' own laboratory test results; understandable terminology; easy to use; appropriate graphic design, and trustworthy information. CONCLUSIONS: NLMP' evaluation confirmed the low utility of currently available laboratory medicine apps. A reliable app should contain trustworthy and understandable information. The appearance of an app should be fit for purpose and easy to use.
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