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      A Community-Based, Mobile Electronic Medical Record System App for High-Quality, Integrated Antiretroviral Therapy in Lilongwe, Malawi: Design Process and Pilot Implementation

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          Abstract

          Background

          Differentiated service delivery (DSD) increases antiretroviral therapy (ART) access in sub-Saharan Africa by moving clients out of congested ART clinics to communities for care. However, DSD settings challenge provider adherence to complex, chronic care treatment guidelines and have burdensome systems for client monitoring and evaluation (M&E), reducing data for decision-making. Electronic medical record systems (EMRS) improve client outcomes and reduce M&E workload. Traditional EMRS cannot operate in most DSD settings with unreliable power and poor connectivity.

          Objective

          This study aims to detail the human-centered design (HCD) process of developing a mobile EMRS for community-based DSD services in Lilongwe, Malawi.

          Methods

          Lighthouse Trust (LT) operates 2 Ministry of Health (MoH) clinics in Lilongwe, Malawi, with a combined total of >35,000 ART clients. LT’s real-time, point-of-care EMRS collects complex client M&E data and provides decision-making support, ensuring adherence to integrated HIV and tuberculosis guidelines that optimize client and program outcomes. LT’s EMRS scaled to all large MoH ART clinics. LT also implements a nurse-led community-based ART program (NCAP), a DSD model to provide ART and rapid assessment for 2400 stable LT clients in the community. LT, alongside collaborators, from the University of Washington’s International Training and Education Center for Health and technology partner, Medic, used the open-source Community Health Toolkit (CHT) and HCD to develop an open-source, offline-first, mobile EMRS-like app, “community-based ART retention and suppression” (CARES). CARES aims to bring EMRS-like provider benefits to NCAP’s DSD clients.

          Results

          CARES design took approximately 12 months and used an iterative process of highly participatory feedback sessions with provider, data manager, and M&E team inputs to ensure CARES optimization for the NCAP and LT settings. The CARES mobile EMRS prototype supports NCAP providers with embedded prompts and alerts to ensure adherence to integrated MoH ART guidelines, aiming to improve the quality of client care. CARES facilitates improved data quality and flow for NCAP M&E, aiming to reduce data gaps between community and clinic settings. The CARES pilot demonstrates the potential of a mobile, point-of-care EMRS-like app that could benefit NCAP clients, providers, and program teams with integrated client care and complete M&E data for decision-making. CARES challenges include app speed, search features to align longitudinal records, and CARES to EMRS integration that supports timely care alerts.

          Conclusions

          Leveraging the CHT and HCD processes facilitated the design of a locally specified and optimized mobile app with the promise to bring EMRS-like benefits to DSD settings. Moving from the CARES prototype to routine NCAP implementation should result in improved client care and strengthened M&E while reducing workload. Our transparent and descriptive process shares the progress and pitfalls of the CARES design and development, helping others in this digital innovation area to learn from our experiences at this stage.

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          Most cited references49

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          What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions

          Background Mobile health (mHealth) is often reputed to be cost-effective or cost-saving. Despite optimism, the strength of the evidence supporting this assertion has been limited. In this systematic review the body of evidence related to economic evaluations of mHealth interventions is assessed and summarized. Methods Seven electronic bibliographic databases, grey literature, and relevant references were searched. Eligibility criteria included original articles, comparison of costs and consequences of interventions (one categorized as a primary mHealth intervention or mHealth intervention as a component of other interventions), health and economic outcomes and published in English. Full economic evaluations were appraised using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist and The PRISMA guidelines were followed. Results Searches identified 5902 results, of which 318 were examined at full text, and 39 were included in this review. The 39 studies spanned 19 countries, most of which were conducted in upper and upper-middle income countries (34, 87.2%). Primary mHealth interventions (35, 89.7%), behavior change communication type interventions (e.g., improve attendance rates, medication adherence) (27, 69.2%), and short messaging system (SMS) as the mHealth function (e.g., used to send reminders, information, provide support, conduct surveys or collect data) (22, 56.4%) were most frequent; the most frequent disease or condition focuses were outpatient clinic attendance, cardiovascular disease, and diabetes. The average percent of CHEERS checklist items reported was 79.6% (range 47.62–100, STD 14.18) and the top quartile reported 91.3–100%. In 29 studies (74.3%), researchers reported that the mHealth intervention was cost-effective, economically beneficial, or cost saving at base case. Conclusions Findings highlight a growing body of economic evidence for mHealth interventions. Although all studies included a comparison of intervention effectiveness of a health-related outcome and reported economic data, many did not report all recommended economic outcome items and were lacking in comprehensive analysis. The identified economic evaluations varied by disease or condition focus, economic outcome measurements, perspectives, and were distributed unevenly geographically, limiting formal meta-analysis. Further research is needed in low and low-middle income countries and to understand the impact of different mHealth types. Following established economic reporting guidelines will improve this body of research.
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            Empirical studies on usability of mHealth apps: a systematic literature review.

            The release of smartphones and tablets, which offer more advanced communication and computing capabilities, has led to the strong emergence of mHealth on the market. mHealth systems are being used to improve patients' lives and their health, in addition to facilitating communication between doctors and patients. Researchers are now proposing mHealth applications for many health conditions such as dementia, autism, dysarthria, Parkinson's disease, and so on. Usability becomes a key factor in the adoption of these applications, which are often used by people who have problems when using mobile devices and who have a limited experience of technology. The aim of this paper is to investigate the empirical usability evaluation processes described in a total of 22 selected studies related to mHealth applications by means of a Systematic Literature Review. Our results show that the empirical evaluation methods employed as regards usability could be improved by the adoption of automated mechanisms. The evaluation processes should also be revised to combine more than one method. This paper will help researchers and developers to create more usable applications. Our study demonstrates the importance of adapting health applications to users' need.
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              • Article: not found

              m-Health adoption by healthcare professionals: a systematic review.

              The aim of this systematic review was to synthesize current knowledge of the factors influencing healthcare professional adoption of mobile health (m-health) applications.
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                Author and article information

                Contributors
                Journal
                JMIR Form Res
                JMIR Form Res
                JFR
                JMIR Formative Research
                JMIR Publications (Toronto, Canada )
                2561-326X
                2023
                10 November 2023
                : 7
                : e48671
                Affiliations
                [1 ] Department of Global Health, University of Washington Seattle, WA United States
                [2 ] International Training and Education Center for Health Seattle, WA United States
                [3 ] Medic Kampala Uganda
                [4 ] LifeNet International Kampala Uganda
                [5 ] Lighthouse Trust Lilongwe Malawi
                [6 ] Medic Nairobi Kenya
                [7 ] Medic San Francisco, CA United States
                [8 ] International Training and Education Center for Health Lilongwe Malawi
                [9 ] Medic Abuja Nigeria
                Author notes
                Corresponding Author: Caryl Feldacker cfeld@ 123456uw.edu
                Author information
                https://orcid.org/0000-0002-8152-6754
                https://orcid.org/0000-0002-7895-8521
                https://orcid.org/0009-0007-9850-3376
                https://orcid.org/0009-0002-0727-033X
                https://orcid.org/0009-0005-1674-5167
                https://orcid.org/0009-0004-9316-051X
                https://orcid.org/0009-0005-5579-8982
                https://orcid.org/0000-0003-4185-8399
                https://orcid.org/0009-0002-3119-7929
                https://orcid.org/0009-0004-8946-0835
                https://orcid.org/0009-0007-9850-3376
                https://orcid.org/0009-0007-1045-9092
                https://orcid.org/0009-0008-3663-8854
                https://orcid.org/0000-0002-8247-1273
                Article
                v7i1e48671
                10.2196/48671
                10674144
                37948102
                a987e551-856c-4463-9a69-6fab8e3e8bf2
                ©Caryl Feldacker, Raymond Mugwanya, Daniel Irongo, Daneck Kathumba, Jane Chiwoko, Emmanuel Kitsao, Kenn Sippell, Beatrice Wasunna, Kingsley Jonas, Bernadette Samala, Daniel Mwakanema, Femi Oni, Krishna Jafa, Hannock Tweya. Originally published in JMIR Formative Research (https://formative.jmir.org), 10.11.2023.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

                History
                : 2 May 2023
                : 8 September 2023
                : 5 October 2023
                : 8 October 2023
                Categories
                Original Paper
                Original Paper

                antiretroviral therapy,differentiated service delivery,digital innovations,malawi,mobile electronic medical record systems,monitoring and evaluation

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