Universidad Peruana Cayetano Heredia

Applying systems thinking to identify enablers and challenges to scale-up interventions for hypertension and diabetes in low-income and middle-income countries: Protocol for a longitudinal mixed-methods study

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dc.contributor.author Ramani-Chander, A.
dc.contributor.author Joshi, R.
dc.contributor.author Van Olmen, J.
dc.contributor.author Wouters, E.
dc.contributor.author Delobelle, P.
dc.contributor.author Vedanthan, R.
dc.contributor.author Miranda, J. Jaime
dc.contributor.author Oldenburg, B.
dc.contributor.author Sherwood, S.
dc.contributor.author Rawal, L.B.
dc.contributor.author Mash, R.J.
dc.contributor.author Irazola, V.E.
dc.contributor.author Martens, M.
dc.contributor.author Lazo Porras, María de los Ángeles
dc.contributor.author Liu, H.
dc.contributor.author Agarwal, G.
dc.contributor.author Waqa, G.
dc.contributor.author Marcolino, M.S.
dc.contributor.author Esandi, M.E.
dc.contributor.author Ribeiro, A.L.P.
dc.contributor.author Probandari, A.
dc.contributor.author González-Salazar, F.
dc.contributor.author Shrestha, A.
dc.contributor.author Sujarwoto, S.
dc.contributor.author Levitt, N.
dc.contributor.author Paredes, M.
dc.contributor.author Sugishita, T.
dc.contributor.author Batal, M.
dc.contributor.author Li, Y.
dc.contributor.author Haghparast-Bidgoli, H.
dc.contributor.author Naanyu, V.
dc.contributor.author He, F.J.
dc.contributor.author Zhang, P.
dc.contributor.author Mfinanga, S.G.
dc.contributor.author De Neve, J.-W.
dc.contributor.author Daivadanam, M.
dc.contributor.author Siddiqi, K.
dc.contributor.author Geldsetzer, P.
dc.contributor.author Klipstein-Grobusch, K.
dc.contributor.author Huffman, M.D.
dc.contributor.author Webster, J.
dc.contributor.author Ojji, D.
dc.contributor.author Beratarrechea, A.
dc.contributor.author Tian, M.
dc.contributor.author Postma, M.
dc.contributor.author Owolabi, M.O.
dc.contributor.author Birungi, J.
dc.contributor.author Antonietti, L.
dc.contributor.author Ortiz, Z.
dc.contributor.author Patel, A.
dc.contributor.author Peiris, D.
dc.contributor.author Schouw, D.
dc.contributor.author Koot, J.
dc.contributor.author Nakamura, K.
dc.contributor.author Tampubolon, G.
dc.contributor.author Thrift, A.G.
dc.date.accessioned 2022-06-01T13:53:56Z
dc.date.available 2022-06-01T13:53:56Z
dc.date.issued 2022
dc.identifier.uri https://hdl.handle.net/20.500.12866/11728
dc.description.abstract Introduction There is an urgent need to reduce the burden of non-communicable diseases (NCDs), particularly in low-and middle-income countries, where the greatest burden lies. Yet, there is little research concerning the specific issues involved in scaling up NCD interventions targeting low-resource settings. We propose to examine this gap in up to 27 collaborative projects, which were funded by the Global Alliance for Chronic Diseases (GACD) 2019 Scale Up Call, reflecting a total funding investment of approximately US$50 million. These projects represent diverse countries, contexts and adopt varied approaches and study designs to scale-up complex, evidence-based interventions to improve hypertension and diabetes outcomes. A systematic inquiry of these projects will provide necessary scientific insights into the enablers and challenges in the scale up of complex NCD interventions. Methods and analysis We will apply systems thinking (a holistic approach to analyse the inter-relationship between constituent parts of scaleup interventions and the context in which the interventions are implemented) and adopt a longitudinal mixed-methods study design to explore the planning and early implementation phases of scale up projects. Data will be gathered at three time periods, namely, at planning (T P), initiation of implementation (T 0) and 1-year postinitiation (T 1). We will extract project-related data from secondary documents at T P and conduct multistakeholder qualitative interviews to gather data at T 0 and T 1. We will undertake descriptive statistical analysis of T P data and analyse T 0 and T 1 data using inductive thematic coding. The data extraction tool and interview guides were developed based on a literature review of scale-up frameworks. Ethics and dissemination The current protocol was approved by the Monash University Human Research Ethics Committee (HREC number 23482). Informed consent will be obtained from all participants. The study findings will be disseminated through peer-reviewed publications and more broadly through the GACD network. en_US
dc.language.iso eng
dc.publisher BMJ Publishing Group
dc.relation.ispartofseries BMJ Open
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Enablers en_US
dc.subject hypertension en_US
dc.subject diabetes en_US
dc.subject low-income countries en_US
dc.subject middle-income countries en_US
dc.subject longitudinal mixed-methods study en_US
dc.title Applying systems thinking to identify enablers and challenges to scale-up interventions for hypertension and diabetes in low-income and middle-income countries: Protocol for a longitudinal mixed-methods study en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1136/bmjopen-2021-053122
dc.relation.issn 2044-6055


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