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Qualitative Assessment of a Smartphone-Based Mobile Health Tool to Guide Diarrhea Management in Bangladesh

Abstract

Diarrheal diseases are a major cause of morbidity and mortality in children worldwide and a significant contributor to antimicrobial resistance. In the absence of laboratory diagnostics to establish diarrhea etiology, electronic clinical decision support tools can help physicians make informed treatment decisions for children with diarrhea. In Bangladesh, we assessed the feasibility and acceptability of an electronic Diarrhea Etiology Prediction algorithm (DEP tool) embedded into a rehydration calculator, which was designed to help physicians manage children with diarrhea, including decisions on antibiotic use. A team of Bangladeshi anthropologists conducted in-depth interviews with physicians (N = 13) in three public hospitals in Bangladesh about their experience using the tool in the context of a pilot trial. Physicians expressed positive opinions of the DEP tool. Participants perceived the tool to be simple and easy to use, with structured guidance on collecting and entering clinical data from patients. Significant strengths of the tool were as follows: standardization of protocol, efficiency of clinical decision-making, and improved clinical practice. Participants also noted barriers that might restrict the widespread impact of the tool, including physicians' reluctance to use an electronic tool for clinical decision-making, increasing work in overburdened healthcare settings, unavailability of a smartphone, and patients' preferences for antibiotics. We conclude that an electronic clinical decision support tool is a promising method for improving diarrheal management and antibiotic stewardship. Future directions include developing and implementing such a tool for informal healthcare physicians in low-resource settings, where families may first seek care for pediatric diarrhea.

References
1.
. Estimates of the global, regional, and national morbidity, mortality, and aetiologies of diarrhoea in 195 countries: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Infect Dis. 2018; 18(11):1211-1228. PMC: 6202444. DOI: 10.1016/S1473-3099(18)30362-1. View

2.
Haque F, Ball R, Khatun S, Ahmed M, Kache S, Chisti M . Evaluation of a Smartphone Decision-Support Tool for Diarrheal Disease Management in a Resource-Limited Setting. PLoS Negl Trop Dis. 2017; 11(1):e0005290. PMC: 5283765. DOI: 10.1371/journal.pntd.0005290. View

3.
Garbern S, Nelson E, Nasrin S, Keita A, Brintz B, Gainey M . External validation of a mobile clinical decision support system for diarrhea etiology prediction in children: A multicenter study in Bangladesh and Mali. Elife. 2022; 11. PMC: 8903833. DOI: 10.7554/eLife.72294. View

4.
Biswas D, Hossin R, Rahman M, Bardosh K, Watt M, Zion M . An ethnographic exploration of diarrheal disease management in public hospitals in Bangladesh: From problems to solutions. Soc Sci Med. 2020; 260:113185. PMC: 7502197. DOI: 10.1016/j.socscimed.2020.113185. View

5.
Lv S, Ye X, Wang Z, Xia W, Qi Y, Wang W . A randomized controlled trial of a mobile application-assisted nurse-led model used to improve treatment outcomes in children with asthma. J Adv Nurs. 2019; 75(11):3058-3067. DOI: 10.1111/jan.14143. View