The Value of Social Network Analysis for Evaluating Academic-Community Partnerships and Collaborations for Social Determinants of Health Research

Designing measures of complex collaborations with participatory, evidence-centered design

An increasingly popular form of collaboration involves forming partnerships among researchers, educators, and community members to improve or transform education systems through research inquiry. However, not all partnerships are successful. The field needs valid, reliable, and useful measures to help with assessing progress toward partnership goals. In this community case study, we present a participatory, mixed-methods approach for creating measures to assess the progress of education research-practice partnerships (RPPs). The case illustrates a novel approach to measurement design, driven by perspectives and feedback of over 300 members of 80 partnerships. As a result, the measures align with the values and practices of the very collaborations the measures were intended to assess.

Social determinants of health: critical consciousness as the core to collective impact

Social determinants of health have become widely recognized as important to overall health. Many areas of social determinants of health are growing from policy to reimbursement to the connecting of health and social care. The efforts around social determinants of health require reflection and awareness of structural issues. The work of Paulo Freire in critical consciousness provides guidance for how to engage in social determinants of health efforts. This manuscript offers a summary of the social determinants of health under the guidance of critical consciousness to build skills and interactions to promote social care to build toward health equity.

Network Analysis for a Community-Based School- and Family-Based Obesity Prevention Program

Rising childhood obesity with its detrimental health consequences poses a challenge to the health care system. Community-based, multi-setting interventions with the participatory involvement of relevant stakeholders are emerging as promising. To gain insights into the structural and processual characteristics of stakeholder networks, conducting a network analysis (NA) is advisable. Within the program “Family+—Healthy Living Together in Families and Schools”, a network analysis was conducted in two rural model regions and one urban model region. Relevant stakeholders were identified in 2020–2021 through expert interviews and interviewed by telephone to elicit key variables such as frequency of contact and intensity of collaboration. Throughout the NA, characteristics such as density, centrality, and connectedness were analyzed and are presented graphically. Due to the differences in the number of inhabitants and the rural or urban structure of the model regions, the three networks (network#1, network#2, and network#3) included 20, 14, and 12 stakeholders, respectively. All networks had similar densities (network#1, 48%; network#2, 52%; network#3, 42%), whereas the degree centrality of network#1 (0.57) and network#3 (0.58) was one-third higher compared with network#2 (0.39). All three networks differed in the distribution of stakeholders in terms of field of expertise and structural orientation. On average, stakeholders exchanged information quarterly and were connected on an informal level. Based on the results of the NA, it appears to be useful to initialize a community health facilitator to involve relevant stakeholders from the education, sports, and health systems in projects and to strive for the goal of sustainable health promotion, regardless of the rural or urban structure of the region. Participatory involvement of relevant stakeholders can have a positive influence on the effective dissemination of information and networking with other stakeholders.

Impact of Education on Student Nurses' Advocacy and Ethical Sensitivity

The nursing literature emphasizes that there are still inadequacies, differences, and inconsistencies in the definition of nurses' advocacy role, and that nursing education plays an important role in educating nurses for patient advocacy. The aim of the present study is to determine the effects of advocacy education onsocial justice advocacy and ethical sensitivity. Pre-test, post-test, parallel group, randomized controlled study. The study was carried out on 80 undergraduate nursing students in Turkey. Students was divided into experimental (40) and control (40) groups. Experimental group received advocacy education cirruculum. Both groups were applied as Socio-Demographic Characteristics, as pre- test and post-tests Social Justice Advocacy Scale, and Moral Sensitivity Questionnaire. The data were statistically evaluated with, the chi-square test, Two-Way Anova. The study was approved by Selcuk University Faculty of Health Sciences Non-Interventional Clinical Research Ethics Committee (09.25.2019/1218). Written informed consent was obtained from all participants. The pre-test score of the intervention group and that of the control group were similar(p > 0.05). The study group's post-test score was significantly higher than its pre-test score and the post-test score of the control group "social justice advocacy skills" and "moral sensitivity Questionnaire." In two-way analysis of variance in repeated measures, there was a significant main effect of the type of groups. The two-way ANOVA results in repeated measures showed that group-time interaction was significant. The advocacy education cirruculum the experimental group increased in the social justice advocacy knowledge, attitude and skills and moral sensitivity. The advocacy education cirruculum the experimental group increased the social justice advocacy skills and moral sensitivity. The Advocacy education cirruculum can be suggested to be integrated into the undergraduate nursing curriculum.

Using attendance data for social network analysis of a community-engaged research partnership

BACKGROUND

The Rockefeller University Center for Clinical and Translational Science (RU-CCTS) and Clinical Directors Network (CDN), a Practice-Based Research Network (PBRN), fostered a community-academic research partnership involving Community Health Center (CHCs) clinicians, laboratory scientists, clinical researchers, community, and patient partners. From 2011 to 2018, the partnership designed and completed Community-Associated Methicillin-Resistant Staphylococcus Aureus Project (CAMP1), an observational study funded by the National Center for Advancing Translational Sciences (NCATS), and CAMP2, a Comparative Effectiveness Research Study funded by the Patient-Centered Outcomes Research Institute (PCORI). We conducted a social network analysis (SNA) to characterize this Community-Engaged Research (CEnR) partnership.

METHODS

Projects incorporated principles of Community-Based Participatory Research (CAMP1/2) and PCORI engagement rubrics (CAMP2). Meetings were designed to be highly interactive, facilitate co-learning, share governance, and incentivize ongoing engagement. Meeting attendance formed the raw dataset enriched by stakeholder roles and affiliations. We used SNA software (Gephi) to form networks for four project periods, characterize network attributes (density, degree, centrality, vulnerability), and create sociograms. Polynomial regression models were used to study stakeholder interactions.

RESULTS

Forty-seven progress meetings engaged 141 stakeholders, fulfilling 7 roles, and affiliated with 28 organizations (6 types). Network size, density, and interactions across organizations increased over time. Interactions between Community Members or Recruiters/Community Health Workers and almost every other role increased significantly across CAMP2 (P < 0.005); Community Members' centrality to the network increased over time.

CONCLUSIONS

In a partnership with a highly interactive meeting model, SNA using operational attendance data afforded a view of stakeholder interactions that realized the engagement goals of the partnership.

Formation of an intersectoral network to support trans survivors of sexual assault: A survey of health and community organizations

BACKGROUND

To address the growing international recognition of the inequities faced by transgender (trans) persons and the lack of services that attend to the specific concerns of trans sexual assault survivors, we undertook the development of an intersectoral network of hospital-based violence treatment centers and trans-positive community organizations to enhance available supports.

AIMS

To examine anticipated involvement of organizations in the network and determine network activities, deliverables, and values.

METHODS

We developed a survey with guidance from an advisory group of trans community members and their allies. Items on the survey related to network activities, deliverables, and values, which were also informed by key insights from earlier network planning meetings, were rated on a 5-point Likert scale for their importance (1 = not important at all, 5 = very important).

RESULTS

Sixty-four out of 93 organizations invited responded to the survey, giving a response rate of 69%. The highest prioritized network activities were: improve access to support services for trans survivors, educate trans survivors on their rights/what to expect when seeking supports and information on organizations, provide ongoing education/training for service providers on trans-affirming care, and inform guidelines on appropriate and sensitive standards of care/better practices for trans survivors (means = 4.6). The highest prioritized deliverables were: provision of standardized sensitivity training on violence against trans persons for professionals and development of an online directory/resource list of trans-affirming service providers and organizations that is continuously updated (means = 4.5). Trauma- and violence-informed and trans-guided were the most highly rated values (means = 4.8).

CONCLUSION

These findings have implications for healthcare and community leaders seeking to collaborate across sectors to address the inequities faced by trans persons experiencing sexual assault.

The Most-Cited Authors Who Published Papers in JMIR mHealth and uHealth Using the Authorship-Weighted Scheme: Bibliometric Analysis

Background

Many previous papers have investigated most-cited articles or most productive authors in academics, but few have studied most-cited authors. Two challenges are faced in doing so, one of which is that some different authors will have the same name in the bibliometric data, and the second is that coauthors’ contributions are different in the article byline. No study has dealt with the matter of duplicate names in bibliometric data. Although betweenness centrality (BC) is one of the most popular degrees of density in social network analysis (SNA), few have applied the BC algorithm to interpret a network’s characteristics. A quantitative scheme must be used for calculating weighted author credits and then applying the metrics in comparison.

Objective

This study aimed to apply the BC algorithm to examine possible identical names in a network and report the most-cited authors for a journal related to international mobile health (mHealth) research.

Methods

We obtained 676 abstracts from Medline based on the keywords “JMIR mHealth and uHealth” (Journal) on June 30, 2018. The author names, countries/areas, and author-defined keywords were recorded. The BCs were then calculated for the following: (1) the most-cited authors displayed on Google Maps; (2) the geographical distribution of countries/areas for the first author; and (3) the keywords dispersed by BC and related to article topics in comparison on citation indices. Pajek software was used to yield the BC for each entity (or node). Bibliometric indices, including h-, g-, and x-indexes, the mean of core articles on g(Ag)=sum (citations on g-core/publications on g-core), and author impact factor (AIF), were applied.

Results

We found that the most-cited author was Sherif M Badawy (from the United States), who had published six articles on JMIR mHealth and uHealth with high bibliometric indices (h=3; AIF=8.47; x=4.68; Ag=5.26). We also found that the two countries with the highest BC were the United States and the United Kingdom and that the two keyword clusters of mHealth and telemedicine earned the highest indices in comparison to other counterparts. All visual representations were successfully displayed on Google Maps.

Conclusions

The most cited authors were selected using the authorship-weighted scheme (AWS), and the keywords of mHealth and telemedicine were more highly cited than other counterparts. The results on Google Maps are novel and unique as knowledge concept maps for understanding the feature of a journal. The research approaches used in this study (ie, BC and AWS) can be applied to other bibliometric analyses in the future.

Using Google Maps to display the pattern of coauthor collaborations on the topic of schizophrenia: A systematic review between 1937 and 2017

Schizophrenia is a severe mental disorder affecting more than 21 million people worldwide. Scientific collaborations are required to research schizophrenia. However, there have been limited publications to date investigating scientific collaborations in schizophrenia research or reporting individual researchers' achievements(IRA) for authors. This study aimed to investigate the pattern of coauthor collaborations in schizophrenia research. We conducted a bibliometric study of international scientific publications on schizophrenia. About 57,964 abstracts were identified and downloaded from MEDLINE. All were examined using social network analysis (SNA) on February 20, 2018. The clusters of author nationalities, the authors, and the medical subject headings (MESH) terms were presented on Google Maps. A total of 36,934 articles met the inclusion criteria. The mean number of authors per article increased from 4.5 in 2008 to 6.4 in 2017. The proportion of published articles decreased in North America from 46.7% in 2008, to 32.3% in 2017. In contrast, the proportion of published articles in Asia increased from 14.5% in 1998 to 23.9% in 2017. Among the countries generating schizophrenia research the most prominent is China (corr. = 0.98), followed by India (corr. = 0.94), and France (corr. = 0.93). The representative of the biggest cluster is the author Michael F Green from the United States. The top three MESH terms are physiopathology, schizophrenic psychology, and complications. The scientific interest in schizophrenia remains significant. The application of bibliometric indicators of production is evident in the growth of scientific literature on the topic of schizophrenia.

Trust in Community-Engaged Research Partnerships: A Methodological Overview of Designing a Multisite Clinical and Translational Science Awards (CTSA) Initiative

Community-engaged research (CEnR) builds on the strengths of the Clinical and Translational Science Awards (CTSA) framework to address health in underserved and minority communities. There is a paucity of studies that identify the process from which trust develops in CEnR partnerships. This study responds to the need for empirical investigation of building and maintaining trust from a multistakeholder perspective. We conducted a multi-institutional pilot study using concept mapping with to better understand how trust, a critical outcome of CEnR partnerships, can act as "social capital." Concept mapping was used to collect data from the three stakeholder groups: community, health-care, and academic research partners across three CTSAs. Concept mapping is a mixed-methods approach that allows participants to brainstorm and identify factors that contribute to a concept and describe ways in which those factors relate to each other. This study offers important insights on developing an initial set of trust measures that can be used across CTSAs to understand differences and similarities in conceptualization of trust among key stakeholder groups, track changes in public trust in research, identify both positive and negative aspects of trust, identify characteristics that maintain trust, and inform the direction for future research.

Social Network Gap Analysis Evaluation: A Case Study of the Southeastern Health Equity Council

Despite the growing emphasis on collaboration in public health, there remains a dearth of literature providing tools for the evaluation of coalitions and councils. This study employed social network gap analysis as an evaluation tool. Survey data collected from the Southeastern Health Equity Council members were used to assess connections among members as a whole, by committee, by state, and by health specialty area. Analysis of how well Southeastern Health Equity Council met the representation outlined in its strategic plan was also conducted. Recommendations for improving the network and opportunities to effectively recruit and advance the work of Southeastern Health Equity Council are discussed.

Building Global Health Capacity at a Minority-Serving Institution in the Bronx: The Potential Role of PhotoVoice and the Geo-Social Pathway Framework in This Endeavor

Global health training programs for undergraduate students are expanding in the United States, which includes Minority-Serving Institutions (MSIs), but capacity building is needed at MSIs to develop career pathways into the field, especially for those institutions that serve low-income students who live in communities with high health disparities. Often, global health pathways begin by building a global lens through the examination of local health issues coupled with international educational experiences. This approach is limited for students who come from low-income settings with limited funding for international experiences, and as a result, may not see the feasibility of a global health career. However, there may be opportunity in harnessing student motivations and participatory research methods to build interest in a global health career. This article outlines the course, Fundamentals of Global Health, offered at a public MSI in the Bronx. The course was grounded in the Geo-Social Pathway Framework and utilized PhotoVoice to engage students in individual research projects. A constant comparison method was used to analyze papers, photos, reflections, and presentations in order to identify themes. Analysis of course materials submitted by students suggests that they were motivated to examine health disparities using PhotoVoice and that they focused their research projects on their family and community health disparities, or aligned with educational or professional goals to address their community health needs. This course model may inform future training in global health for students at MSIs, but community-based participatory research priority funding is needed to sustain global health at these key institutions.

Applying Gini coefficient to evaluate the author research domains associated with the ordering of author names: A bibliometric study

BACKGROUND

Team science research includes the number of coauthors in publications. Many papers have discussed the ordering of author names and the contributions of authors to a paper. However, no paper addresses the relation between authors' research domains and personal impact factors (PIF) with the ordering of author names. We aimed to apply Gini coefficient (GC) to evaluate the author research domains associated with the PIF and the ordering of author names on academic papers.

METHODS

By searching the PubMed database (Pubmed.com), we used the keyword "medicine" [journal] and downloaded 10,854 articles published from 1969 to 2018. A total number of 7502 articles labeled with complete author's countries/areas were included in data analysis. We also proposed a PIF index and jointly applied social network analysis (SNA), the GC, and Google Maps to report the following data with visual representations: the trend of author collaboration in Medicine; the dominant nations and keywords in Medicine; and the author research domains in Medicine associated with the PIF and the ordering of author names on academic papers.

RESULTS

The trend of author collaboration in Medicine is slightly declining (= -0.06) based on the number of authors per article. The mean number of individuals listed as authors in articles is 7.5. Most first authors are from China (3649, 48.64%) and Taiwan (847, 11.29%). The median of GC (0.32) and PIF (0.74) for the middle authors are obviously less than those for the first (0.53, 2.19) and the last authors (0.42, 2.61). A perfect positive linear relation with a large effect exists between GC and PIF because the correlation coefficient is 0.68 (>0.50, t = 2.48, n = 9).

CONCLUSION

Results suggest that the corresponding author is submitting the manuscript to the target journal with a core author's academic background and the personal impact factor related to the research domain and the journal scope in the future. As such, peer reviewers can quickly determine whether the manuscript is a potentially citable research paper.