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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, Anusha
dc.contributor.author Joshi, Rohina
dc.contributor.author Olmen, Josefien van
dc.contributor.author Wouters, Edwin
dc.contributor.author Delobelle, Peter
dc.contributor.author Vedanthan, Rajesh
dc.contributor.author Miranda, J Jaime
dc.contributor.author Oldenburg, Brian
dc.contributor.author Sherwood, Stephen
dc.contributor.author Rawal, Lal B
dc.contributor.author Mash, Robert James
dc.contributor.author Irazola, Vilma Edith
dc.contributor.author Martens, Monika
dc.contributor.author Lazo-Porras, Maria
dc.contributor.author Liu, Hueiming
dc.contributor.author Agarwal, Gina
dc.contributor.author Waqa, Gade
dc.contributor.author Marcolino, Milena Soriano
dc.contributor.author Esand, Maria Eugenia
dc.contributor.author Ribeiro, Antonio Luiz Pinho
dc.contributor.author Probandari, Ari
dc.contributor.author González-Salaza, Francisco
dc.contributor.author Shrestha, Abha
dc.contributor.author Sujarwoto, Sujarwoto
dc.contributor.author Levitt, Naomi
dc.contributor.author Paredes, Myriam
dc.contributor.author Sugishita, Tomohiko
dc.contributor.author Batal, Malek
dc.contributor.author Li, Yuan
dc.contributor.author Haghparast- Bidgoli, Hassan
dc.contributor.author Naanyu, Violet
dc.contributor.author He, Feng J
dc.contributor.author Zhang, Puhong
dc.contributor.author Mfinanga, Sayoki Godfrey
dc.contributor.author De Neve, Jan-Walter
dc.contributor.author Daivadanam, Meena
dc.contributor.author Siddiqi, Kamran
dc.contributor.author Geldsetzer, Pascal
dc.contributor.author Klipstein-Grobusch, Kerstin
dc.contributor.author Huffman, Mark D
dc.contributor.author Webster, Jacqui
dc.contributor.author Ojji, Dike
dc.contributor.author Beratarrechea, Andrea
dc.contributor.author Tian, Maoyi
dc.contributor.author Postma, Maarten
dc.contributor.author Owolabi, Mayowa O
dc.contributor.author Birungi, Josephine
dc.contributor.author Antonietti, Laura
dc.contributor.author Ortiz, Zulma
dc.contributor.author Patel, Anushka
dc.contributor.author Peiris, David
dc.contributor.author Darcelle Schouw, Darcelle Schouw
dc.contributor.author Koot, Jaap
dc.contributor.author Nakamura, Keiko
dc.contributor.author Tampubolon, Gindo
dc.contributor.author Thrift, Amanda G
dc.date.accessioned 2023-07-06T08:18:54Z
dc.date.available 2023-07-06T08:18:54Z
dc.date.issued 2022-02-04
dc.identifier.uri http://ir.mu.ac.ke:8080/jspui/handle/123456789/7744
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 (TP ), initiation of implementation (T0 ) 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 T1. We will undertake descriptive statistical analysis of TP 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 en en_US
dc.publisher BJM en_US
dc.subject Non-communicable disease en_US
dc.subject Low- and middle-income countries en_US
dc.subject Hypertension and diabetes 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 Article en_US


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