Cargando…

Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India

BACKGROUND: As population health and well-being are influenced by multiple factors that cut across sectoral boundaries, an intersectoral approach that acknowledges and leverages the multiple determinants, actors and sectors at play is increasingly seen as critical for achieving meaningful and lastin...

Descripción completa

Detalles Bibliográficos
Autores principales: Hoe, Connie, Adhikari, Binita, Glandon, Douglas, Das, Arindam, Kaur, Navpreet, Gupta, Shivam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636742/
https://www.ncbi.nlm.nih.gov/pubmed/31314793
http://dx.doi.org/10.1371/journal.pone.0219786
_version_ 1783436116944224256
author Hoe, Connie
Adhikari, Binita
Glandon, Douglas
Das, Arindam
Kaur, Navpreet
Gupta, Shivam
author_facet Hoe, Connie
Adhikari, Binita
Glandon, Douglas
Das, Arindam
Kaur, Navpreet
Gupta, Shivam
author_sort Hoe, Connie
collection PubMed
description BACKGROUND: As population health and well-being are influenced by multiple factors that cut across sectoral boundaries, an intersectoral approach that acknowledges and leverages the multiple determinants, actors and sectors at play is increasingly seen as critical for achieving meaningful and lasting improvements. In this study, we utilize social network analysis (SNA) to characterize the intersectoral collaboration between the organizations working on maternal & child health (MCH) and water & sanitation (WASH) before and immediately after the implementation of HCL Foundation (HCLF)-funded HCL Samuday Project (2015–2017) in a rural block of Uttar Pradesh state, India. While SNA has been used to examine public health issues, few have used it monitor stakeholder relationships, intervene, improve and facilitate project implementation involving intersectoral partnerships, particularly in the context of a low-and middle-income countries. METHOD: An organization-level SNA was conducted with 31 key informants from 24 organizations working on MCH and/or WASH in Kachhauna, Uttar Pradesh, India. Data were collected using face-to-face, semi-structured interviews between June and September 2017. Density, centrality and homophily were calculated to describe the network and a qualitative analysis was also conducted to identify the strengths and weaknesses of collaboration between organizations working on MCH and WASH. RESULTS: Overall, our findings showed that the network of organizations working on MCH and WASH in Kachhauna grew in number since the implementation of Samuday. HCLF rapidly achieved centrality, thus positioning the organization to serve as a gatekeeper of information and enabling it to play a coordinator role within the network. Direct collaboration between other organizations working on MCH and WASH was low at both time points. Interviews with key informants indicated widespread interest in increasing interorganizational interactions and engagement throughout the network. CONCLUSION: This study demonstrates the feasibility and practical application of SNA for projects like Samuday that involve intersectoral collaboration. It also provides lessons about the use of SNA with organizations as the unit of analysis and in the context of rural India, including challenges, practical considerations, and limitations.
format Online
Article
Text
id pubmed-6636742
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-66367422019-07-25 Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India Hoe, Connie Adhikari, Binita Glandon, Douglas Das, Arindam Kaur, Navpreet Gupta, Shivam PLoS One Research Article BACKGROUND: As population health and well-being are influenced by multiple factors that cut across sectoral boundaries, an intersectoral approach that acknowledges and leverages the multiple determinants, actors and sectors at play is increasingly seen as critical for achieving meaningful and lasting improvements. In this study, we utilize social network analysis (SNA) to characterize the intersectoral collaboration between the organizations working on maternal & child health (MCH) and water & sanitation (WASH) before and immediately after the implementation of HCL Foundation (HCLF)-funded HCL Samuday Project (2015–2017) in a rural block of Uttar Pradesh state, India. While SNA has been used to examine public health issues, few have used it monitor stakeholder relationships, intervene, improve and facilitate project implementation involving intersectoral partnerships, particularly in the context of a low-and middle-income countries. METHOD: An organization-level SNA was conducted with 31 key informants from 24 organizations working on MCH and/or WASH in Kachhauna, Uttar Pradesh, India. Data were collected using face-to-face, semi-structured interviews between June and September 2017. Density, centrality and homophily were calculated to describe the network and a qualitative analysis was also conducted to identify the strengths and weaknesses of collaboration between organizations working on MCH and WASH. RESULTS: Overall, our findings showed that the network of organizations working on MCH and WASH in Kachhauna grew in number since the implementation of Samuday. HCLF rapidly achieved centrality, thus positioning the organization to serve as a gatekeeper of information and enabling it to play a coordinator role within the network. Direct collaboration between other organizations working on MCH and WASH was low at both time points. Interviews with key informants indicated widespread interest in increasing interorganizational interactions and engagement throughout the network. CONCLUSION: This study demonstrates the feasibility and practical application of SNA for projects like Samuday that involve intersectoral collaboration. It also provides lessons about the use of SNA with organizations as the unit of analysis and in the context of rural India, including challenges, practical considerations, and limitations. Public Library of Science 2019-07-17 /pmc/articles/PMC6636742/ /pubmed/31314793 http://dx.doi.org/10.1371/journal.pone.0219786 Text en © 2019 Hoe et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hoe, Connie
Adhikari, Binita
Glandon, Douglas
Das, Arindam
Kaur, Navpreet
Gupta, Shivam
Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India
title Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India
title_full Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India
title_fullStr Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India
title_full_unstemmed Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India
title_short Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India
title_sort using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636742/
https://www.ncbi.nlm.nih.gov/pubmed/31314793
http://dx.doi.org/10.1371/journal.pone.0219786
work_keys_str_mv AT hoeconnie usingsocialnetworkanalysistoplanpromoteandmonitorintersectoralcollaborationforhealthinruralindia
AT adhikaribinita usingsocialnetworkanalysistoplanpromoteandmonitorintersectoralcollaborationforhealthinruralindia
AT glandondouglas usingsocialnetworkanalysistoplanpromoteandmonitorintersectoralcollaborationforhealthinruralindia
AT dasarindam usingsocialnetworkanalysistoplanpromoteandmonitorintersectoralcollaborationforhealthinruralindia
AT kaurnavpreet usingsocialnetworkanalysistoplanpromoteandmonitorintersectoralcollaborationforhealthinruralindia
AT guptashivam usingsocialnetworkanalysistoplanpromoteandmonitorintersectoralcollaborationforhealthinruralindia