Literature DB >> 32469894

Acceptability and usability of a mobile application for management and surveillance of vector-borne diseases in Colombia: An implementation study.

Sarita Rodríguez1, Ana María Sanz1, Gonzalo Llano2, Andrés Navarro2, Luis Gabriel Parra-Lara1,3, Amy R Krystosik4, Fernando Rosso1,3,5.   

Abstract

BACKGROUND: Vector-borne diseases are a public health problem in Colombia, where dengue virus infection is hyperendemic. The introduction of other arboviruses, such as chikungunya and Zika in the last three years, has aggravated the situation. Mobile health (mHealth) offers new strategies for strengthening health care and surveillance systems promoting the collection, delivery, and access of health information to professionals, researchers, and patients. Assessing mobile application performance has been a challenge in low- and middle-income countries due to the difficulty of implementing these technologies in different clinical settings. In this study, we evaluate the usability and acceptability of a mobile application, FeverDX, as a support tool in the management of patients with febrile syndrome and suspected arboviruses infection by general practitioners from Colombia.
METHODS: A pilot implementation study was conducted to evaluate the usability and acceptability of FeverDX using the modified version of the Mobile Application Rating Scale (uMARS). The evaluation form included 25 questions regarding quantity and quality of information, engagement, functionality, aesthetics, impact, and acceptability by healthcare workers. Each item uses a 5-point scale (1-Inadequate, 2-Poor, 3-Acceptable, 4-Good, 5-Excellent). A global score was obtained for the evaluation form test by determining the median scores of each subsection. A descriptive statistical analysis of the data obtained was performed.
RESULTS: Between December 2016 and January 2017, a total of 20 general practitioners from the Emergency room and hospitalization areas evaluated FeverDX. Less than half (9/20) of the evaluators had a comprehensive knowledge of the Colombian Ministry of Health's guidelines for the diagnosis and management of arboviruses, and evaluators partially (4/9) or completely (5/9) agreed that the content of the application follows the management guidelines. On uMARS scale, FeverDX excelled regarding impact (median 5; IQR = 5-5), functionality (median 5; IQR = 4.8-5), and information and scientific basis (median 4; IQR = 4-4). FeverDX scored well regarding user feedback (median 4; IQR = 4-4.5), design and aesthetics (median 4; IQR = 4-4.3), and subjective assessment of quality (median 4.5; IQR = 4.3-4.8).
CONCLUSIONS: FeverDX, a mobile application, is a novel mHealth strategy to strengthen care processes and facilitate the detection and reporting of notifiable surveillance diseases. It could improve adherence to clinical practice guidelines for the management and prevention of prevalent diseases as arboviruses in healthcare settings. Although this pilot study used a small sample size, FeverDx performed adequately in a simulated emergency consultation. Further implementation studies are needed to increase the reliability of mHealth technologies in different scenarios.

Entities:  

Year:  2020        PMID: 32469894     DOI: 10.1371/journal.pone.0233269

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  3 in total

1.  Self-Care Mobile Application for South Korean Pregnant Women at Work: Development and Usability Study.

Authors:  Yaelim Lee; Soeun Choi; Heejae Jung
Journal:  Risk Manag Healthc Policy       Date:  2022-05-11

2.  Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study.

Authors:  Von Ralph Dane Marquez Herbuela; Tomonori Karita; Thaddeus Marzo Carvajal; Howell Tsai Ho; John Michael Olea Lorena; Rachele Arce Regalado; Girly Dirilo Sobrepeña; Kozo Watanabe
Journal:  JMIR Public Health Surveill       Date:  2021-03-01

3.  Detection of Potential Arbovirus Infections and Pregnancy Complications in Pregnant Women in Jamaica Using a Smartphone App (ZIKApp): Pilot Evaluation Study.

Authors:  Elisa Ruiz-Burga; Patricia Bruijning-Verhagen; Paulette Palmer; Annalisa Sandcroft; Georgina Fernandes; Marieke de Hoog; Lenroy Bryan; Russell Pierre; Heather Bailey; Carlo Giaquinto; Claire Thorne; Celia D C Christie
Journal:  JMIR Form Res       Date:  2022-07-27
  3 in total

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