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 long...
- Autores
- 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; Soriano Marcolino, Milena; Esandi, Maria Eugenia; Pinho Ribeiro, Antonio Luiz; Probandari, Ari; González Salazar, Francisco; Shrestha, Abha; Sujarwoto, Sujarwoto; Levitt, Naomi; Paredes, Myriam; Sugishita, Tomohiko; Batal, Malek; Li, Yuan; Beratarrechea, Andrea Gabriela
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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 (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. 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.
Fil: Ramani Chander, Anusha. Monash University; Australia
Fil: Joshi, Rohina. George Institute For Global Health; India. University of New South Wales; Australia
Fil: Van Olmen, Josefien. Universiteit Antwerp; Bélgica
Fil: Wouters, Edwin. Universiteit Antwerp; Bélgica
Fil: Delobelle, Peter. University of Cape Town; Sudáfrica. Vrije Unviversiteit Brussel; Bélgica
Fil: Vedanthan, Rajesh. Nyu Grossman School Of Medicine; Estados Unidos
Fil: Miranda, J Jaime. Universidad Peruana Cayetano Heredia; Perú. University of New South Wales; Australia
Fil: Oldenburg, Brian. La Trobe University; Australia
Fil: Sherwood, Stephen. University of Agriculture Wageningen; Países Bajos
Fil: Rawal, Lal B.. Central Queensland University; Australia
Fil: Mash, Robert James. Stellenbosch University; Sudáfrica
Fil: Irazola, Vilma Edith. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Martens, Monika. Universiteit Antwerp; Bélgica. Institute of Tropical Medicine; Bélgica
Fil: Lazo Porras, Maria. Universidad Peruana Cayetano Heredia; Perú
Fil: Liu, Hueiming. University of New South Wales; Australia
Fil: Agarwal, Gina. McMaster University; Canadá
Fil: Waqa, Gade. Fiji National University; Fiyi
Fil: Soriano Marcolino, Milena. Universidade Federal de Minas Gerais; Brasil
Fil: Esandi, Maria Eugenia. Academia Nacional de Medicina de Buenos Aires; Argentina
Fil: Pinho Ribeiro, Antonio Luiz. Universidade Federal de Minas Gerais; Brasil
Fil: Probandari, Ari. Universitas Sebalas Maret; Indonesia
Fil: González Salazar, Francisco. Universidad de Monterrey.; México
Fil: Shrestha, Abha. Kathmandu University School of Medical Sciences; Nepal. Dhulikhel Hospital; Nepal
Fil: Sujarwoto, Sujarwoto. University of Brawijaya; Indonesia
Fil: Levitt, Naomi. University of Cape Town; Sudáfrica
Fil: Paredes, Myriam. Facultad Latinoamericana de Ciencias Sociales; Ecuador
Fil: Sugishita, Tomohiko. Tokyo Women's Medical University; Japón
Fil: Batal, Malek. University of Montreal; Canadá. Centre for Public Health Research; Canadá
Fil: Li, Yuan. The George Institute for Global Health at Peking University Health Science Centre; China. University of New South Wales; Australia
Fil: Beratarrechea, Andrea Gabriela. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
HEALTH SERVICES ADMINISTRATION & MANAGEMENT
PROTOCOLS & GUIDELINES
PUBLIC HEALTH - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/161643
Ver los metadatos del registro completo
id |
CONICETDig_5b5de70ae9702f3ad30c81d448881cb0 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/161643 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
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 studyRamani Chander, AnushaJoshi, RohinaVan Olmen, JosefienWouters, EdwinDelobelle, PeterVedanthan, RajeshMiranda, J JaimeOldenburg, BrianSherwood, StephenRawal, Lal B.Mash, Robert JamesIrazola, Vilma EdithMartens, MonikaLazo Porras, MariaLiu, HueimingAgarwal, GinaWaqa, GadeSoriano Marcolino, MilenaEsandi, Maria EugeniaPinho Ribeiro, Antonio LuizProbandari, AriGonzález Salazar, FranciscoShrestha, AbhaSujarwoto, SujarwotoLevitt, NaomiParedes, MyriamSugishita, TomohikoBatal, MalekLi, YuanBeratarrechea, Andrea GabrielaHEALTH SERVICES ADMINISTRATION & MANAGEMENTPROTOCOLS & GUIDELINESPUBLIC HEALTHhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Introduction 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 (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. 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.Fil: Ramani Chander, Anusha. Monash University; AustraliaFil: Joshi, Rohina. George Institute For Global Health; India. University of New South Wales; AustraliaFil: Van Olmen, Josefien. Universiteit Antwerp; BélgicaFil: Wouters, Edwin. Universiteit Antwerp; BélgicaFil: Delobelle, Peter. University of Cape Town; Sudáfrica. Vrije Unviversiteit Brussel; BélgicaFil: Vedanthan, Rajesh. Nyu Grossman School Of Medicine; Estados UnidosFil: Miranda, J Jaime. Universidad Peruana Cayetano Heredia; Perú. University of New South Wales; AustraliaFil: Oldenburg, Brian. La Trobe University; AustraliaFil: Sherwood, Stephen. University of Agriculture Wageningen; Países BajosFil: Rawal, Lal B.. Central Queensland University; AustraliaFil: Mash, Robert James. Stellenbosch University; SudáfricaFil: Irazola, Vilma Edith. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Martens, Monika. Universiteit Antwerp; Bélgica. Institute of Tropical Medicine; BélgicaFil: Lazo Porras, Maria. Universidad Peruana Cayetano Heredia; PerúFil: Liu, Hueiming. University of New South Wales; AustraliaFil: Agarwal, Gina. McMaster University; CanadáFil: Waqa, Gade. Fiji National University; FiyiFil: Soriano Marcolino, Milena. Universidade Federal de Minas Gerais; BrasilFil: Esandi, Maria Eugenia. Academia Nacional de Medicina de Buenos Aires; ArgentinaFil: Pinho Ribeiro, Antonio Luiz. Universidade Federal de Minas Gerais; BrasilFil: Probandari, Ari. Universitas Sebalas Maret; IndonesiaFil: González Salazar, Francisco. Universidad de Monterrey.; MéxicoFil: Shrestha, Abha. Kathmandu University School of Medical Sciences; Nepal. Dhulikhel Hospital; NepalFil: Sujarwoto, Sujarwoto. University of Brawijaya; IndonesiaFil: Levitt, Naomi. University of Cape Town; SudáfricaFil: Paredes, Myriam. Facultad Latinoamericana de Ciencias Sociales; EcuadorFil: Sugishita, Tomohiko. Tokyo Women's Medical University; JapónFil: Batal, Malek. University of Montreal; Canadá. Centre for Public Health Research; CanadáFil: Li, Yuan. The George Institute for Global Health at Peking University Health Science Centre; China. University of New South Wales; AustraliaFil: Beratarrechea, Andrea Gabriela. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaBMJ Publishing Group2022-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/161643Ramani Chander, Anusha; Joshi, Rohina; Van Olmen, Josefien; Wouters, Edwin; Delobelle, Peter; et al.; 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; BMJ Publishing Group; BMJ Open; 12; 4; 4-2022; 1-102044-60552044-6055CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://bmjopen.bmj.com/content/12/4/e053122info:eu-repo/semantics/altIdentifier/doi/10.1136/bmjopen-2021-053122info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:23:38Zoai:ri.conicet.gov.ar:11336/161643instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:23:38.314CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
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 |
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 |
spellingShingle |
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 Ramani Chander, Anusha HEALTH SERVICES ADMINISTRATION & MANAGEMENT PROTOCOLS & GUIDELINES PUBLIC HEALTH |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
dc.creator.none.fl_str_mv |
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 Soriano Marcolino, Milena Esandi, Maria Eugenia Pinho Ribeiro, Antonio Luiz Probandari, Ari González Salazar, Francisco Shrestha, Abha Sujarwoto, Sujarwoto Levitt, Naomi Paredes, Myriam Sugishita, Tomohiko Batal, Malek Li, Yuan Beratarrechea, Andrea Gabriela |
author |
Ramani Chander, Anusha |
author_facet |
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 Soriano Marcolino, Milena Esandi, Maria Eugenia Pinho Ribeiro, Antonio Luiz Probandari, Ari González Salazar, Francisco Shrestha, Abha Sujarwoto, Sujarwoto Levitt, Naomi Paredes, Myriam Sugishita, Tomohiko Batal, Malek Li, Yuan Beratarrechea, Andrea Gabriela |
author_role |
author |
author2 |
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 Soriano Marcolino, Milena Esandi, Maria Eugenia Pinho Ribeiro, Antonio Luiz Probandari, Ari González Salazar, Francisco Shrestha, Abha Sujarwoto, Sujarwoto Levitt, Naomi Paredes, Myriam Sugishita, Tomohiko Batal, Malek Li, Yuan Beratarrechea, Andrea Gabriela |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
HEALTH SERVICES ADMINISTRATION & MANAGEMENT PROTOCOLS & GUIDELINES PUBLIC HEALTH |
topic |
HEALTH SERVICES ADMINISTRATION & MANAGEMENT PROTOCOLS & GUIDELINES PUBLIC HEALTH |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
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 (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. 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. Fil: Ramani Chander, Anusha. Monash University; Australia Fil: Joshi, Rohina. George Institute For Global Health; India. University of New South Wales; Australia Fil: Van Olmen, Josefien. Universiteit Antwerp; Bélgica Fil: Wouters, Edwin. Universiteit Antwerp; Bélgica Fil: Delobelle, Peter. University of Cape Town; Sudáfrica. Vrije Unviversiteit Brussel; Bélgica Fil: Vedanthan, Rajesh. Nyu Grossman School Of Medicine; Estados Unidos Fil: Miranda, J Jaime. Universidad Peruana Cayetano Heredia; Perú. University of New South Wales; Australia Fil: Oldenburg, Brian. La Trobe University; Australia Fil: Sherwood, Stephen. University of Agriculture Wageningen; Países Bajos Fil: Rawal, Lal B.. Central Queensland University; Australia Fil: Mash, Robert James. Stellenbosch University; Sudáfrica Fil: Irazola, Vilma Edith. Instituto de Efectividad Clínica y Sanitaria; Argentina Fil: Martens, Monika. Universiteit Antwerp; Bélgica. Institute of Tropical Medicine; Bélgica Fil: Lazo Porras, Maria. Universidad Peruana Cayetano Heredia; Perú Fil: Liu, Hueiming. University of New South Wales; Australia Fil: Agarwal, Gina. McMaster University; Canadá Fil: Waqa, Gade. Fiji National University; Fiyi Fil: Soriano Marcolino, Milena. Universidade Federal de Minas Gerais; Brasil Fil: Esandi, Maria Eugenia. Academia Nacional de Medicina de Buenos Aires; Argentina Fil: Pinho Ribeiro, Antonio Luiz. Universidade Federal de Minas Gerais; Brasil Fil: Probandari, Ari. Universitas Sebalas Maret; Indonesia Fil: González Salazar, Francisco. Universidad de Monterrey.; México Fil: Shrestha, Abha. Kathmandu University School of Medical Sciences; Nepal. Dhulikhel Hospital; Nepal Fil: Sujarwoto, Sujarwoto. University of Brawijaya; Indonesia Fil: Levitt, Naomi. University of Cape Town; Sudáfrica Fil: Paredes, Myriam. Facultad Latinoamericana de Ciencias Sociales; Ecuador Fil: Sugishita, Tomohiko. Tokyo Women's Medical University; Japón Fil: Batal, Malek. University of Montreal; Canadá. Centre for Public Health Research; Canadá Fil: Li, Yuan. The George Institute for Global Health at Peking University Health Science Centre; China. University of New South Wales; Australia Fil: Beratarrechea, Andrea Gabriela. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
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 (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. 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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/161643 Ramani Chander, Anusha; Joshi, Rohina; Van Olmen, Josefien; Wouters, Edwin; Delobelle, Peter; et al.; 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; BMJ Publishing Group; BMJ Open; 12; 4; 4-2022; 1-10 2044-6055 2044-6055 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/161643 |
identifier_str_mv |
Ramani Chander, Anusha; Joshi, Rohina; Van Olmen, Josefien; Wouters, Edwin; Delobelle, Peter; et al.; 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; BMJ Publishing Group; BMJ Open; 12; 4; 4-2022; 1-10 2044-6055 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://bmjopen.bmj.com/content/12/4/e053122 info:eu-repo/semantics/altIdentifier/doi/10.1136/bmjopen-2021-053122 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
BMJ Publishing Group |
publisher.none.fl_str_mv |
BMJ Publishing Group |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1842981306132070400 |
score |
12.48226 |