A digital dashboard for reporting mental, neurological and substance use disorders in Nairobi, Kenya: Implementing an open source data technology for improving data capture.

Autor:	Mwanga DM; African Population and Health Research Center (APHRC), Nairobi, Kenya.; Department of Mathematics, University of Nairobi, Nairobi, Kenya., Waruingi S; Mental Health and Substance Use Program, Nairobi City County Government, Kenya., Manolova G; Department of Mental Health and Substance Use, World Health Organization., Wekesah FM; African Population and Health Research Center (APHRC), Nairobi, Kenya.; Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands, UMC, AIGHD, the Netherlands., Kadengye DT; African Population and Health Research Center (APHRC), Nairobi, Kenya., Otieno PO; African Population and Health Research Center (APHRC), Nairobi, Kenya.; Kenya Medical Research Institute-Wellcome Trust, Kilifi, Kenya., Bitta M; Department of Psychiatry, University of Oxford, Oxford, United Kingdom., Omwom I; African Population and Health Research Center (APHRC), Nairobi, Kenya., Iddi S; African Population and Health Research Center (APHRC), Nairobi, Kenya., Odero P; African Population and Health Research Center (APHRC), Nairobi, Kenya., Kinuthia JW; African Population and Health Research Center (APHRC), Nairobi, Kenya., Dua T; Department of Mental Health and Substance Use, World Health Organization., Chowdhary N; Department of Mental Health and Substance Use, World Health Organization., Ouma FO; African Population and Health Research Center (APHRC), Nairobi, Kenya., Kipchirchir IC; Department of Mathematics, University of Nairobi, Nairobi, Kenya., Muhua GO; Department of Mathematics, University of Nairobi, Nairobi, Kenya., Sander JW; Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3BG.; Chalfont Centre for Epilepsy, Chalfont St Peter SL9 0RJ, United Kingdom.; Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede 2103 SW, the Netherlands.; Neurology Department, West China Hospital, Sichuan University, Chengdu 610041, China., Newton CR; Kenya Medical Research Institute-Wellcome Trust, Kilifi, Kenya.; Department of Psychiatry, University of Oxford, Oxford, United Kingdom., Asiki G; African Population and Health Research Center (APHRC), Nairobi, Kenya.; Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden.
Jazyk:	angličtina
Zdroj:	PLOS digital health [PLOS Digit Health] 2024 Nov 01; Vol. 3 (11), pp. e0000646. Date of Electronic Publication: 2024 Nov 01 (Print Publication: 2024).
DOI:	10.1371/journal.pdig.0000646
Abstrakt:	The availability of quality and timely data for routine monitoring of mental, neurological and substance use (MNS) disorders is a challenge, particularly in Africa. We assessed the feasibility of using an open-source data science technology (R Shiny) to improve health data reporting in Nairobi City County, Kenya. Based on a previously used manual tool, in June 2022, we developed a digital online data capture and reporting tool using the open-source Kobo toolbox. Primary mental health care providers (nurses and physicians) working in primary healthcare facilities in Nairobi were trained to use the tool to report cases of MNS disorders diagnosed in their facilities in real-time. The digital tool covered MNS disorders listed in the World Health Organization's (WHO) Mental Health Gap Action Program Intervention Guide (mhGAP-IG). In the digital system, data were disaggregated as new or repeat visits. We linked the data to a live dynamic reproducible dashboard created using R Shiny, summarising the data in tables and figures. Between January and August 2023, 9064 cases of MNS disorders (4454 newly diagnosed, 4591 revisits and 19 referrals) were reported using the digital system compared to 5321 using the manual system in a similar period in 2022. Reporting in the digital system was real-time compared to the manual system, where reports were aggregated and submitted monthly. The system improved data quality by providing timely and complete reports. Open-source applications to report health data is feasible and acceptable to primary health care providers. The technology improved real-time data capture, reporting, and monitoring, providing invaluable information on the burden of MNS disorders and which services can be planned and used for advocacy. The fast and efficient system can be scaled up and integrated with national and sub-national health information systems to reduce manual data reporting and decrease the likelihood of errors and inconsistencies. Competing Interests: The authors have declared that no competing interests exist. (Copyright: © 2024 Mwanga et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze:	MEDLINE
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