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.
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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DOI：
10.1136/bmjopen-2021-053122
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发表时间：
2022-04-18
期刊：
影响因子：
2.9
通讯作者：
Thrift, Amanda G.
中科院分区：
文献类型：
--
作者：
Ramani-Chander, Anusha;Joshi, Rohina;van Olmen, Josefien;Wouters, Edwin;Delobelle, Peter;Vedanthan, Rajesh;Miranda, J. Jaime;Oldenburg, Brian;Sherwood, Stephen;Rawal, Lal B.;Mash, Robert James;Irazola, Vilma Edith;Martens, Monika;Lazo-Porras, Maria;Liu, Hueiming;Agarwal, Gina;Waqa, Gade;Marcolino, Milena Soriano;Esandi, Maria Eugenia;Ribeiro, Antonio Luiz Pinho;Probandari, Ari;Gonzalez-Salazar, Francisco;Shrestha, Abha;Sujarwoto, Sujarwoto;Levitt, Naomi;Paredes, Myriam;Sugishita, Tomohiko;Batal, Malek;Li, Yuan;Haghparast-Bidgoli, Hassan;Naanyu, Violet;He, Feng J.;Zhang, Puhong;Mfinanga, Sayoki Godfrey;De Neve, Jan-Walter;Daivadanam, Meena;Siddiqi, Kamran;Geldsetzer, Pascal;Klipstein-Grobusch, Kerstin;Huffman, Mark D.;Webster, Jacqui;Ojji, Dike;Beratarrechea, Andrea;Tian, Maoyi;Postma, Maarten;Owolabi, Mayowa O.;Birungi, Josephine;Antonietti, Laura;Ortiz, Zulma;Patel, Anushka;Peiris, David;Schouw, Darcelle;Koot, Jaap;Nakamura, Keiko;Tampubolon, Gindo;Thrift, Amanda G.
迫切需要减轻非传染性疾病的负担，特别是在负担最重的低收入和中等收入国家。然而，关于扩大针对低资源环境的非传染性疾病干预措施所涉及的具体问题的研究很少。我们建议在多达27个合作项目中审查这一差距，这些项目由全球慢性病联盟（GACD） 2019年扩大呼吁资助，总资金投资约为5000万美元。这些项目代表了不同的国家和背景，采用了不同的方法和研究设计，以扩大复杂的循证干预措施，改善高血压和糖尿病的预后。对这些项目进行系统的调查将为扩大复杂的非传染性疾病干预措施的推动因素和挑战提供必要的科学见解。我们将运用系统思维（一种整体方法来分析规模扩大干预措施的组成部分与实施干预措施的背景之间的相互关系），并采用纵向混合方法研究设计来探索规模扩大项目的规划和早期实施阶段。数据将在三个时期收集，即规划（TP）、开始实施（T0）和开始后1年（T1）。我们将从TP的次要文件中提取项目相关数据，并在T0和T1进行多利益相关者定性访谈以收集数据。我们将对TP数据进行描述性统计分析，并使用归纳主题编码对T0和T1数据进行分析。数据提取工具和访谈指南是基于对规模扩大框架的文献综述而开发的。目前的方案已获得莫纳什大学人类研究伦理委员会（HREC编号23482）的批准。将获得所有参与者的知情同意。研究结果将通过同行评议的出版物传播，并通过GACD网络更广泛地传播。
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. 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 (T1). We will extract project-related data from secondary documents at TP and conduct multistakeholder qualitative interviews to gather data at T0 and T1. We will undertake descriptive statistical analysis of TP data and analyse T0 and T1 data using inductive thematic coding. The data extraction tool and interview guides were developed based on a literature review of scale-up frameworks. 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.
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DOI：
10.1186/1748-5908-4-50
发表时间：
2009-08-07
期刊：
Implementation science : IS
影响因子：
--
作者：
Damschroder LJ;Aron DC;Keith RE;Kirsh SR;Alexander JA;Lowery JC
通讯作者：
Lowery JC
影响因子：
4.6
作者：
Fan H;Song F
通讯作者：
Song F
影响因子：
10.8
作者：
Binagwaho, Agnes;Nutt, Cameron T.;Farmer, Paul E.
通讯作者：
Farmer, Paul E.
影响因子：
7.2
作者：
Aarons, Gregory A.;Sklar, Marisa;Brown, C. Hendricks
通讯作者：
Brown, C. Hendricks
DOI：
10.1186/1748-5908-8-117
发表时间：
2013-10-02
期刊：
Implementation science : IS
影响因子：
--
作者：
Chambers DA;Glasgow RE;Stange KC
通讯作者：
Stange KC