The Role of Implementation Science in Advancing Resource Generation for Health Interventions in Low- and Middle-Income Countries

Temitope Ojo, Laetitia Kabasele, Bethanny Boyd, Scholastica Enechukwu, Nessa Ryan, Joyce Gyamfi, Emmanuel Peprah, Temitope Ojo, Laetitia Kabasele, Bethanny Boyd, Scholastica Enechukwu, Nessa Ryan, Joyce Gyamfi, Emmanuel Peprah

Abstract

Low- and middle-income countries (LMICs) bear the brunt of communicable and non-communicable diseases and experience higher mortality and poor health outcomes compared to resource-rich countries. Chronic resource deficits in LMICs impede their ability to successfully address vexing health issues. Implementation science provides researchers with an approach to develop specific interventions that can generate and/or maximize resources to facilitate the implementation of other public health interventions, in resource-constrained LMIC settings. Resources generated from these interventions could be in the form of increased health workers' skills, task shifting to free up higher-skilled health workers, increasing laboratory capacity, and using supply chain innovations to make medications available. Pivotal to the success of such interventions is ensuring feasibility in the LMIC context. We selected and appraised three case studies of evidence-based resource-generating health interventions based in LMICs (Zambia, Zimbabwe, and Madagascar), which generated or maximized resources to facilitate ongoing health services. We used a determinant implementation framework-Consolidated Framework for Implementation Research (CFIR) to identify and map contextual factors that are reported to influence implementation feasibility in an LMIC setting. Contextual factors influencing the feasibility of these interventions included leadership engagement, local capacity building and readiness for research and implementing evidence-based practices (EBPs), infrastructural support for multilevel scale-up, and cultural and contextual adaptations. These factors highlight the importance of utilizing implementation science frameworks to evaluate, guide, and execute feasible public health interventions and projects in resource-limited settings. Within LMICs, we recommend EBPs incorporate feasible resource-generating components in health interventions to ensure improved and sustained optimal health outcomes.

Keywords: Consolidated Framework for Implementation Research; Resource generation; feasibility; implementation science; implementation science outcomes; low-and-middle income countries.

Conflict of interest statement

Declaration Of Conflicting Interests:The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

© The Author(s) 2021.

References

    1. Hart JT. The inverse care law. Lancet. 1971;297:405-412.
    1. Barber RM, Fullman N, Sorensen RJ, et al.. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015. Lancet. 2017;390:231-266.
    1. Yapa HM, Bärnighausen T. Implementation science in resource-poor countries and communities. Implement Sci. 2018;13:154.
    1. Lenfant C. Clinical research to clinical practice—lost in translation? N Engl J Med. 2003;349:868-874.
    1. Bauer MS, Damschroder L, Hagedorn H, Smith J, Kilbourne AM. An introduction to implementation science for the non-specialist. BMC Psychol. 2015;3:32.
    1. Proctor E, Silmere H, Raghavan R, et al.. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011;38:65-76.
    1. Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89:1322-1327.
    1. Nilsen P, Birken SA. Handbook on implementation science. In: Nilsen P, Birken SA, eds. Overview of theories, models and frameworks in implementation science. Edward Elgar Publishing; 2020.
    1. Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4:50.
    1. Leonard E, de Kock I, Bam W. Barriers and facilitators to implementing evidence-based health innovations in low- and middle-income countries: a systematic literature review. Eval Program Plann. 2020;82:101832.
    1. Nilsen P. Making sense of implementation theories, models and frameworks. Implement Sci. 2015;10:53.
    1. Engelgau MM, Rosenthal JP, Newsome BJ, Price L, Belis D, Mensah GA. Noncommunicable diseases in low-and middle-income countries: a strategic approach to develop a global implementation research workforce. Global Heart. 2018;13:131-137.
    1. Aifah A, Iwelunmor J, Akwanalo C, et al.. The Kathmandu declaration on global CVD/hypertension research and implementation science: a framework to advance implementation research for cardiovascular and other noncommunicable diseases in low-and middle-income countries. Global Heart. 2019;14:103.
    1. Owolabi M, Miranda JJ, Yaria J, Ovbiagele B. Controlling cardiovascular diseases in low and middle income countries by placing proof in pragmatism. BMJ Global Health. 2016;1:e000105.
    1. Ojo T, Lester L, Iwelunmor J, et al.. Feasibility of integrated, multilevel care for cardiovascular diseases (CVD) and HIV in low-and middle-income countries (LMICs): a scoping review. PLoS One. 2019;14:e0212296.
    1. Padmanathan P, De Silva MJ. The acceptability and feasibility of task-sharing for mental healthcare in low and middle income countries: a systematic review. Soc Sci Med. 2013;97:82-86.
    1. Mehta KM, Rerolle F, Rammohan SV, et al.. Systematic motorcycle management and health care delivery: a field trial. Am J Public Health. 2016;106:87-94.
    1. Chibanda D, Weiss HA, Verhey R, et al.. Effect of a primary care–based psychological intervention on symptoms of common mental disorders in Zimbabwe: a randomized clinical trial. Jama. 2016;316:2618-2626.
    1. Burke E, Gold J, Razafinirinasoa L, Mackay A. Youth voucher program in Madagascar increases access to voluntary family planning and STI services for young people. Global Health Sci Pract. 2017;5:33-43.
    1. Potash S. Low-cost mental health innovation enables access to care in Africa, US. Global Health Matters Newsletter. Mar-Apr, 2018.
    1. Abas M, Mbengeranwa OL, Chagwedera IVS, Maramba P, Broadhead J. Primary care services for depression in Harare, Zimbabwe. Harv Rev Psychiatry. 2003;11:157-165.
    1. Chibanda D, Mesu P, Kajawu L, Cowan F, Araya R, Abas MA. Problem-solving therapy for depression and common mental disorders in Zimbabwe: piloting a task-shifting primary mental health care intervention in a population with a high prevalence of people living with HIV. BMC Public Health. 2011;11:828.
    1. Bowen DJ, Kreuter M, Spring B, et al.. How we design feasibility studies. Am J Prev Med. 2009;36:452-457.
    1. Pettigrew AM, Woodman RW, Cameron KS. Studying organizational change and development: challenges for future research. Acad Manag J. 2001;44:697-713.

Source: PubMed

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