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BMJ Open ; 11(7): e049708, 2021 07 19.
Article in English | MEDLINE | ID: mdl-34281930

ABSTRACT

OBJECTIVES: Mobile health tools have potential to improve the diagnosis and management of acute lower respiratory illnesses (ALRI), a leading cause of paediatric mortality worldwide. The objectives were to evaluate health workers' perceptions of acceptability, usability and feasibility of Acute Lower Respiratory Illness Treatment and Evaluation (ALRITE), a novel mobile health tool to help frontline health workers diagnose, treat and provide education about ALRI in children <5 years. DESIGN: A qualitative study including semistructured interviews with health facility administrators and focus groups with primary care health workers. SETTING: Two federally funded Ugandan primary care health facilities, one peri-urban and one rural. PARTICIPANTS: We enrolled 3 health administrators and 28 health workers (clinical officers and nurses). INTERVENTION: The ALRITE smartphone application was developed to help frontline health workers adhere to ALRI guidelines and differentiate wheezing illnesses from pneumonia in children under 5 years of age. ALRITE contains a simple decision tree, a partially automated respiratory rate counter, educational videos and an adapted respiratory assessment score to determine bronchodilator responsiveness. We performed a demonstration of ALRITE for participants at the beginning of interviews and focus groups. No participant had used ALRITE prior. RESULTS: Themes impacting the potential implementation of ALRITE were organised using individual-level, clinic-level and health-system level determinants. Individual-level determinants were acceptability and perceived benefit, usability, provider needs and provider-patient relationship. Clinic-level determinants were limited resources and integration within the health centre. Systems-level determinants included medication shortages and stakeholder engagement. CONCLUSIONS: Incorporation of these themes will ready ALRITE for field testing. Early engagement of end users provides insights critical to the development of tailored mHealth decision support tools.


Subject(s)
Health Personnel , Telemedicine , Child , Child, Preschool , Focus Groups , Humans , Qualitative Research , Uganda
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