Mobile Phone-based Intervention to promote un-interrupted HIV treatment during the COVID-19 pandemic.

Introduction: Keeping HIV-infected adults away from the health care system during the COVID-19 travel restrictions, presents a challenge to HIV treatment adherence. Methods: This study focused on the initial two phases where Phase 1 designed a Makerere College of Health Sciences (MakCHS) Unstructured Supplementary Service Data (USSD)-based application; and Phase 2 piloted patient enrolment onto the application and determined the feasibility of remote follow-up of patients receiving long-term antiretroviral therapy (ART). Results: A off/online user application, MakCHS Health app, was developed. Overall, 112 patients [(66(59%) female] receiving ART at Mulago ISS clinic, Kampala, were enrolled onto the MakCHS Health app. Up to 89 (80%) utilized the app to access medical help. Patients' medical queries included needs for drug refills, missed taking HIV medication, medical illnesses, access to COVID-19 vaccination and other personal needs that required clinicians' attention. Conclusion: Piloting a MakCHS Health application for patient follow-up was feasible and well-received by HIV treatment providers and patients receiving ART. We recommend scale up of the application to enroll all patients receiving long-term treatment for HIV/AIDS, and subsequently expand to. other HIV treatment programs in similar settings.

Advancing the application of systems thinking in health: understanding the dynamics of neonatal mortality in Uganda.

BACKGROUND: Of the three million newborns that die each year, Uganda ranks fifth highest in neonatal mortality rates, with 43,000 neonatal deaths each year. Despite child survival and safe motherhood programmes towards reducing child mortality, insufficient attention has been given to this critical first month of life. There is urgent need to innovatively employ alternative solutions that take into account the intricate complexities of neonatal health and the health systems. In this paper, we set out to empirically contribute to understanding the causes of the stagnating neonatal mortality by applying a systems thinking approach to explore the dynamics arising from the neonatal health complexity and non-linearity and its interplay with health systems factors, using Uganda as a case study. METHODS: Literature reviews and interviews were conducted in two divisions of Kampala district with high neonatal mortality rates with mothers at antenatal clinics and at home, village health workers, community leaders, healthcare decision and policy makers, and frontline health workers from both public and private health facilities. Data analysis and brainstorming sessions were used to develop causal loop diagrams (CLDs) depicting the causes of neonatal mortality, which were validated by local and international stakeholders. RESULTS: We developed two CLDs for demand and supply side issues, depicting the range of factors associated with neonatal mortality such as maternal health, level of awareness of maternal and newborn health, and availability and quality of health services, among others. Further, the reinforcing and balancing feedback loops that resulted from this complexity were also examined. The potential high leverage points include special gender considerations to ensure that girls receive essential education, thereby increasing maternal literacy rates, improved socioeconomic status enabling mothers to keep healthy and utilise health services, improved supervision, and internal audits at the health facilities as well as addressing the gaps in resources (human, logistics, and drugs). CONCLUSIONS: Synthesis of theoretical concepts through CLDs facilitated our understanding and interpretation of the interactions and feedback loops that contributed to the stagnant neonatal mortality rates in Uganda, which is the first step towards discussing and exploring the potential strategies and their likely impact.

Enhancing immunization coverage through health information systems: a system dynamics approach.

This paper demonstrates how qualitative System Dynamics methodology can be used to provide a better understanding of health systems thus facilitating better development and design of computer-based health information systems. In an earlier paper by the same authors, system dynamics modeling and field study research methods are used to capture the complex and dynamic nature of the immunization process, to enhance the understanding of the immunization health care problems and to generate insights that may increase the immunization coverage effectiveness. Through qualitative modeling, causal loop diagrams which are used to show the key issues that need to be addressed when developing health information systems are drawn with the aim of improving the immunization services. The paper shows the benefits of using System Dynamics to understand systems with complex interactions thus facilitating the development of information systems that meet the stakeholder requirements.