Social network analysis of public health programs to measure partnership

Schoen, Martin W.; Moreland-Russell, Sarah; Prewitt, Kim; Carothers, Bobbi J.

doi:10.1016/j.socscimed.2014.10.057

Cited by 67 publications

(67 citation statements)

References 28 publications

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“…Assessment of the applied models revealed that there was a fairly good variation in studies. The applied models were: DISC (17)(18)(19)(20), Bergen (11,14), Himelman (15), network analysis (16), social network analysis (10,21), act for life collaboration continuum (22), Tukman (23), collective impact approach (24), system analysis (25), and logic (26,27).…”

Section: Results Of the Extraction Of Criteria Models And Indicatorsmentioning

confidence: 99%

Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Study

Rafiee

Damari

Hajebi

et al. 2020

Preprint

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Background: The healthcare sector has a small share in community health, and other sectors are actively involved in this domain. Therefore, only by a collective and collaborative action can health promotion interventions be properly implemented. In order to have intersectoral collaboration in the domain of healthcare, basic criteria are required as an operational guide for the successful implementation of such collaborations. A specific framework is also required so that the programs can be properly implemented accordingly. After the implementation, the success or failure of the collaborative action will be determined by assessing the effectiveness of the actions taken using an appropriate assessment system (e.g., indicators). In this study, the basic criteria, models, and indicators of intersectoral collaboration in health promotion were investigated to facilitate the implementation of collaboration. Methods: This scoping review was conducted using datasets of Embase, Web of Science, Scopus, and PubMed, and search engines of Google, Google Scholar, and ProQuest. Original articles, review articles, and reports were included in this study. In terms of subject, articles which referred to the basic criteria, models, or indicators of intersectoral collaboration in health promotion were included. Results: A total of 52 studies were included in the final analysis, and 32 codes in three categories (micro, meso, and macro) were obtained. Micro-level intersectoral collaboration criteria had the highest frequency. Among the models used in the reviewed studies, social network analysis (SNA), Diagnosis of Sustainable Collaboration (DISC), Bergen, and logic models had the highest frequency in health promotion. Among the indicators studied, the number of participants and the level of collaboration as well as its sustainability were the most frequent indicators. Conclusion: The findings identified the most important and widely used criteria, models, and indicators of intersectoral collaboration in health promotion which can be useful for decision-makers and planners in the domain of health promotion, in designing, implementing, and evaluating collaborative programs.

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Section: Results Of the Extraction Of Criteria Models And Indicatorsmentioning

confidence: 99%

Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Study

Rafiee

Damari

Hajebi

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…This might be achieved by implementing common funding programs to achieve shared goals of better serving local communities. Such a funding program has been implemented on at least one previous occasion and has provided evidence of enhanced collaboration among organizations (35). …”

Section: Discussionmentioning

confidence: 99%

Multiplex Competition, Collaboration, and Funding Networks Among Health and Social Organizations

et al. 2017

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Background Young men who have sex with men (YMSM) have the highest rates of HIV infection in the United States. Decades into the HIV epidemic, the relationships that YMSM-serving health and social organizations have with one another has not been studied in depth. Objectives The aim of this study was to examine the competition, collaboration and funding source structures of multiplex organization networks and the mechanisms that promote fruitful relationships among these organizations. Research Design The study data collection method was a survey of health and social organizations from 2013–2014 in two cities, Chicago IL, and Houston TX. Subjects Study participants were representatives from 138 health and social organizations. Measures Responses to survey questions were used to reconstruct competition, collaboration and combined competition-collaboration networks. Results While taking into consideration the collaborative relationships among organizations, we provide solid statistical evidence that organizations of similar type, similar social media use patterns, comparable patterns of funding, and similar network contexts tended to compete with one another. This competition was less likely to be accompanied by any sort of collaboration if the organizations shared common funding sources. Conclusions Competition that excludes potential collaboration may be detrimental to mobilizing the collective efforts that serve local YMSM communities. System-level interventions may provide promising approaches to scaling-up HIV prevention and treatment efforts so as to encourage organizations to form partnerships with otherwise competing providers.

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“…Major impediments to adoption of behavior change strategies in real-world settings include uncontrolled influences such as social determinants of health, 4 contextual characteristics, 5 availability of resources, 6 and prevailing behavior patterns and health beliefs between and among networks of individuals 7,8 : elements that typically inform community-based initiatives. 9 Thus, in addition to highly controlled behavioral clinical trials, alternative intervention approaches and evaluation strategies are needed for initiatives that are community based and multilevel, wherein randomization to intervention vs. control condition is not specified, desired, or considered feasible.…”

Section: Rationale For Use and Adaptation Of The Ssa Methodsmentioning

confidence: 99%

The Childhood Obesity Declines Project: Implications for Research and Evaluation Approaches

et al. 2018

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Background: Childhood obesity remains prevalent and is increasing in some disadvantaged populations. Numerous research, policy and community initiatives are undertaken to impact this pandemic. Understudied are natural experiments. The need to learn from these efforts is paramount. Resulting evidence may not be readily available to inform future research, community initiatives, and policy development/implementation.Methods: We discuss the implications of using an adaptation of the Systematic Screening and Assessment (SSA) method to evaluate the Childhood Obesity Declines (COBD) project. The project examined successful initiatives, programs and policies in four diverse communities which were concurrent with significant declines in child obesity. In the context of other research designs and evaluation schemas, rationale for use of SSA is presented. Evidence generated by this method is highlighted and guidance suggested for evaluation of future studies of community-based childhood obesity prevention initiatives. Support for the role of stakeholder collaboratives, in particular the National Collaborative on Childhood Obesity Research, as a synergistic vehicle to accelerate research on childhood obesity is discussed.Results/Discussion: SSA mapped active processes and provided contextual understanding of multi-level/component simultaneous efforts to reduce rates of childhood obesity in community settings. Initiatives, programs and policies were not necessarily coordinated. And although direct attribution of intervention/initiative/policy components could not be made, the what, by who, how, to whom was temporally associated with statistically significant reductions in childhood obesity.Conclusions: SSA provides evidence for context and processes which are not often evaluated in other data analytic methods. SSA provides an additional tool to layer with other evaluation approaches.

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Social network analysis of public health programs to measure partnership

Cited by 67 publications

References 28 publications

Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Study

Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Study

Multiplex Competition, Collaboration, and Funding Networks Among Health and Social Organizations

The Childhood Obesity Declines Project: Implications for Research and Evaluation Approaches

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