Browsing by Author "Kabongo, Eveline M."

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Combining the theory of change and realist evaluation approaches to elicit an initial program theory of the MomConnect program in South Africa
    (BMC (part of Springer Nature), 2020-11-26) Kabongo, Eveline M.; Mukumbang, Ferdinand C.; Delobelle, Peter; Nicol, Edward
    Background: One of the Sustainable Development Goals is to reduce the global maternal mortality ratio to less than 70 per 100,000 live births by 2030. In South Africa, the flagship National Department of Health MomConnect program was launched in 2014 to strengthen the quality of maternal and child health (MCH) services and improve mortality outcomes. MomConnect was rapidly rolled out with a limited understanding of how and why the program was expected to work even though studies had shown the effectiveness of the MomConnect program in improving the uptake of MCH services. This study aimed to unearth the initial program theory of the MomConnect program based on explicit and implicit assumptions of how the program was organized and expected to work. Methods: We conducted a document analysis using design- and implementation-related documents of the MomConnect program guided by the principles of Theory of Change (ToC) and Realist Evaluation (RE). Content and thematic analysis approaches were deductively applied to analyze the documents toward constructing ToC and REinformed models. Abductive thinking and retroduction were further applied to the realist-informed approach to link program context, mechanisms, and outcomes to construct the initial program theory. Results: ToC and RE-informed models illustrated how the MomConnect program was organized and expected to work. The process of constructing the ToC provided the platform for the development of the initial program theory, which identified three critical elements: (1) the central modalities of the MomConnect program; (2) the intended outcomes; and (3) the tentative causal links indicating, in a stepwise manner of, how the outcomes were intended to be achieved. The RE approach ‘enhanced’ the causal links by identifying relevant programmatic contexts and linking the postulated mechanisms of action (empowerment, encouragement, motivation, and knowledge acquisition) to program outcomes. Conclusion: The application of ToC and RE provided an explicitly cumulative approach to knowledge generation in unveiling the initial program theory of MomConnect rather than delivering answers to questions of program effectiveness.
  • Thumbnail Image
    Item
    Explaining the impact of mHealth on maternal and child health care in low- and middle-income countries : a realist synthesis
    (BMC (part of Springer Nature), 2021) Kabongo, Eveline M.; Mukumbang, Ferdinand C.; Delobelle, Peter; Nicol, Ed
    Background: Despite the growing global application of mobile health (mHealth) technology in maternal and child health, contextual factors, and mechanisms by which interventional outcomes are generated, have not been subjected to a systematic examination. In this study, we sought to uncover context, mechanisms, and outcome elements of various mHealth interventions based on implementation and evaluation studies to formulate theories or models explicating how mHealth interventions work (or not) both for health care providers and for pregnant women and mothers. Method: We undertook a realist synthesis. An electronic search of five online databases (PubMed/Medline, Google Scholar, Scopus, Academic Search Premier and Health Systems Evidence) was performed. Using appropriate Boolean phrases terms and selection procedures, 32 articles were identified. A theory-driven approach, narrative synthesis, was applied to synthesize the data. Thematic content analysis was used to delineate elements of the intervention, including its context, actors, mechanisms, and outcomes. Abduction and retroduction were applied using a realist evaluation heuristic tool to formulate generative theories. Results: We formulated two configurational models illustrating how and why mHealth impacts implementation and uptake of maternal and child health care. Implementation-related mechanisms include buy-in from health care providers, perceived support of health care providers’ motivation and perceived ease of use and usefulness. These mechanisms are influenced by adaptive health system conditions including organization, resource availability, policy implementation dynamics, experience with technology, network infrastructure and connectivity. For pregnant women and mothers, mechanisms that trigger mHealth use and consequently uptake of maternal and child health care include perceived satisfaction, motivation and positive psychological support. Information overload was identified as a potential negative mechanism impacting the uptake of maternal and child health care. These mechanisms are influenced by health system conditions, socio-cultural characteristics, socio-economic and demographics characteristics, network infrastructure and connectivity and awareness. Conclusion: Models developed in this study provide a detailed understanding of implementation and uptake of mHealth interventions and how and why they impact maternal and child health care in low- and middle-income countries. These models provide a foundation for the ‘white box’ of theory-driven evaluation of mHealth interventions and can improve rollout and implementation where required.