Analysis of stakeholders networks of infant and young child nutrition programmes in Sri Lanka, India, Nepal, Bangladesh and Pakistan

Uddin, Shahadat; Mahmood, Hana; Senarath, Upul; Zahiruddin, Quazi Syed; Karn, Sumit; Rasheed, Sabrina; Dibley, Michael J.

doi:10.1186/s12889-017-4337-1

Cited by 29 publications

(26 citation statements)

References 14 publications

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“…Net-Map is a participatory interview technique combining stakeholder mapping, social network analysis and power mapping activities. This technique was developed by the International Food and Policy Research Institute (IFPRI) and has been successfully used in the maternal-child nutrition field (14)(15)(16)(17)(18)(19)23,24) .…”

Section: Stakeholder Analysismentioning

confidence: 99%

“…UNICEF, WHO/Pan-American Health Organization (PAHO), the World Bank, donor agencies, academics, nongovernment organisations (NGO), civil society organisations and consultants) rated breastfeeding as a high-political priority (13) . Stakeholder network analysis has been successfully used to inform explicit strategies to engage diverse stakeholders in the formation and implementation of infant and young child feeding policies in Southeast Asia (14)(15)(16)(17)(18)(19) . However, there is little information on how to garner political commitment towards implementing appropriate large-scale breastfeeding policies and programmes by systematically targeting key stakeholders and decision makers.…”

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confidence: 99%

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An analysis of stakeholder networks to support the breastfeeding scale-up environment in Mexico

et al. 2020

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Little information exists on how to garner political commitment to strengthen large-scale breastfeeding policies and programmes by targeting key decision makers. The present study aims to map and describe the influence of stakeholders involved in breastfeeding policy and programming and identify opportunities to strengthen the breastfeeding-friendly environment in Mexico. A total of nine key informants from seventeen stakeholder organisations were selected based on their in-depth knowledge of the breastfeeding environment in Mexico and were individually interviewed using Net-Map methodology. This participatory interview technique combines stakeholder mapping, social network analysis and influence mapping to identify relevant stakeholders. Participants identified a total of fifty-five stakeholders shaping breastfeeding programmes and policies through four domains of influence: commands (n 32 stakeholders), dissemination (n 40), funding (n 35) and technical assistance (n 37). The Federal Ministry of Health emerged as the most influential stakeholder of breastfeeding policy and programming decisions in Mexico among all domains of influence. The Ministry of Finance and Public Credit as well as the National Institute of Public Health were identified as additional key stakeholders providing funding and technical assistance to the Federal Ministry of Health, respectively. Engaging identified key stakeholders can generate a multisectoral commitment to breastfeeding and strengthen the breastfeeding-friendly environment in Mexico.

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Section: Stakeholder Analysismentioning

confidence: 99%

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confidence: 99%

An analysis of stakeholder networks to support the breastfeeding scale-up environment in Mexico

et al. 2020

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“…Social network analysis (SNA) provides methods to quantify the structure of relationships among individuals [ 9 ]. Recent work has applied network analysis techniques to explore stakeholder networks in child nutrition programs [ 10 ], and at a community-level to evaluate the collaboration among local community groups [ 11 ]. A gap remains to retrospectively quantify SC networks from community-based childhood obesity prevention interventions.…”

Section: Introductionmentioning

confidence: 99%

Social network analysis of stakeholder networks from two community-based obesity prevention interventions

et al. 2018

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IntroductionStudies of community-based obesity prevention interventions have hypothesized that stakeholder networks are a critical element of effective implementation. This paper presents a quantitative analysis of the interpersonal network structures within a sub-sample of stakeholders from two past successful childhood obesity prevention interventions.MethodsParticipants were recruited from the stakeholder groups (steering committees) of two completed community-based intervention studies, Romp & Chomp (R&C), Australia (2004-2008) and Shape Up Somerville (SUS), USA (2003-2005). Both studies demonstrated significant reductions of overweight and obesity among children. Members of the steering committees were asked to complete a retrospective social network questionnaire using a roster of other committee members and free recall. Each participant was asked to recall the people with whom they discussed issues related to childhood obesity throughout the intervention period, along with providing the closeness and level of influence of each relationship.ResultsNetworks were reported by 13 participants from the SUS steering committee and 8 participants from the R&C steering committee. On average, participants nominated 16 contacts with whom they discussed issues related to childhood obesity through the intervention, with approximately half of the relationships described as ‘close’ and 30% as ‘influential’. The ‘discussion’ and ‘close’ networks had high clustering and reciprocity, with ties directed to other steering committee members, and to individuals external to the committee. In contrast, influential ties were more prominently directed internal to the steering committee, with higher network centralization, lower reciprocity and lower clustering.Discussion and conclusionSocial network analysis provides a method to evaluate the ties within steering committees of community-based obesity prevention interventions. In this study, the network characteristics between a sub-set of stakeholders appeared to be supportive of diffused communication. Future work should prospectively examine stakeholder network structures in a heterogeneous sample of community-based interventions to identify elements most strongly associated with intervention effectiveness.

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“…It facilitates the investigation of types and patterns of collaboration among stakeholders, where these stakeholders are visually presented in a map by nodes, and interactions between these nodes [28]. Indeed, this network analysis can be a distinctive approach to recognize the structure of decision-and policy-making processes and also interaction between potential actors [29]. Therefore, using SNA can facilitate the identification of the relevant parts that need to be negotiated and addressed, with the aim of improving the health related policy-making processes and obtaining appropriate interactions among the involved stakeholders [25,30].…”

Section: Second Stepmentioning

confidence: 99%

Financing of physical rehabilitation services in Iran: a stakeholder and social network analysis

Shahabi

Teymourlouy

Shabaninejad

et al. 2020

BMC Health Serv Res

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Background: Inadequate financing is one of the major barriers in securing equitable access to high-quality physical rehabilitation services, without imposing financial hardship. Despite this, no sufficient attention has been paid to physical rehabilitation services and no specific financial resources have been allocated to such services in many countries including Iran. Owing to the fact that effective decision-and policy-making requires identifying possible stakeholders and actors and their characteristics, in the current study a stakeholder analysis and also a social network analysis (SNA) was conducted to identify the potential stakeholders and also their characteristics involved in physical rehabilitation financing (PRF)-related policies in Iran. Methods: The present study was performed in two phases. Firstly, semi-structured interviews and relevant document review were conducted to identify the stakeholders. Then, the position, power, interest, and influence of each stakeholder were determined using a web-based questionnaire. Secondly, SNA approach was utilized to map and visualize the interactions among stakeholders. Results: The findings showed that there are different stakeholders in PRF-related decision-and policy-making processes in Iran. In addition, the position, power, interest, and influence level of the identified stakeholders were varied. Moreover, although some stakeholders, like the Ministry of Health and the parliament have the highest level of power and position, they lack sufficient interest to participate in PRF-policies. Furthermore, SNA demonstrated that social network density was low, which indicates the lack of proper collaboration and interaction among the stakeholders. Conclusion: As many powerful and influential stakeholders had low interest levels to warrant participate in the FPRrelated decision-and policy-making processes in Iran, employing careful and effective strategies, that is ongoing negotiations, receiving advocacy, and making senior managers and policy-makers aware can be helpful.

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Analysis of stakeholders networks of infant and young child nutrition programmes in Sri Lanka, India, Nepal, Bangladesh and Pakistan

Cited by 29 publications

References 14 publications

An analysis of stakeholder networks to support the breastfeeding scale-up environment in Mexico

An analysis of stakeholder networks to support the breastfeeding scale-up environment in Mexico

Social network analysis of stakeholder networks from two community-based obesity prevention interventions

Financing of physical rehabilitation services in Iran: a stakeholder and social network analysis

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