A quantitative approach to social network analysis involves the application of mathematical and statistical techniques and graphical presentation of results. Nonetheless—as with all sciences—subjectivity is an integral aspect of network analysis, manifested in the selection of measures to describe connection patterns and actors’ positions (e.g., choosing a centrality indicator), in the visualization of social structure in graphs, and in translating numbers into words (telling the story). Here, we use network research as an example to illustrate how quantitative and qualitative approaches, techniques, and data are mixed along a continuum of fusion between quantitative and qualitative realms.

BackgroundMental health has been integrated in the primary health care program in small cities and villages of Iran in a national level since the late 1980s. We performed a systematic review of literature to investigate the effect of education on change in attitude and knowledge of mental health care providers and the population covered in the program during the recent two decades in Iran.MethodsElectronic bibliographic databases including Pubmed, PsycINFO and EMBase as well as the main Iranian databases (Scientific Information Database, IranMedex, IranPsych, and IranDoc) were searched. Additionally, hand searching, personal contacts and tracking of reference lists were performed. All of the studies which compared the attitude and knowledge of the related population before and after an educational intervention were recruited.ResultsSix articles met the inclusion criteria and entered the review. All of these studies showed an improvement in the attitude and knowledge of the studied population. Although the studies were different in many respects, a meta-analysis on the two more similar studies showed a significant effect of training on long term improvement of the knowledge and attitude of the population.ConclusionA short term training improved knowledge and attitude of the population and health personnel immediately after the intervention. There is also evidence for a long term change in the attitude and knowledge of general population after short term training.

Background: One in four families has at least one member with a mental disorder and families are the main caregivers in most patients in low and middle-income countries. Caregivers experience disruption in their routine lives, increased responsibilities, increased need for support, and changes in their network. The role of personal support networks in the health and burden of the caregivers is complex and depends on the context, cultural and socioeconomical variables. In this study, we aimed to investigate the personal support network of caregivers of patients with severe mental illness in Iran. Methods: By using a mixed-methods design, we focused on the structure and composition of caregiver networks, as well as self-perceived caregiver support. Results: We found that the support network of caregivers was mostly composed of immediate family members whom themselves were selectively chosen as a result of the multidimensional process of interaction between stigma, availability, and the perceived needs of caregivers. The participants mentioned economic and instrumental supports more frequently than emotional support, probably reflecting their unmet basic needs. Advocacy for providing formal systemic supports to caregivers, as well as interventions that expand caregivers personal support network is recommended. Conclusions: Most participants of the study were relatively isolated and had a small network of support, mostly composed of immediate family members. Stigma was a serious source of family distress for caregivers and a limiting factor in social relationships.

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Background Burnout is common among residents, which could be associated with their professional network characteristics. This study aimed to assess the social networks of psychiatry residents and develop an intervention to improve their network characteristics, burnout, and perception of the educational environment. Methods We recruited a cohort of 17 PGY-2 residents and assessed their social networks, burnout, and perception of the educational environment. After the baseline survey, we held a focus group with PGY-2 residents to discuss the results, their network characteristics, and interventions that can improve their relationships. The PGY-2 residents indicated that offering extracurricular opportunities to facilitate friendly interactions among the residents and faculty members would be the most feasible and acceptable intervention. Therefore, four “interest groups” for extracurricular activities were established. Residents and faculty members were invited to participate in interest groups to improve the network characteristics. Some PGY-2 residents and faculty members agreed to moderate interest group sessions (active members). Results After the intervention, active residents improved significantly in the perceived personal accomplishment subscale of the burnout inventory and their perception of the educational environment. Active faculty members also had a significant increase in their relationships with PGY-2 residents in one domain of social networks. Conclusions Enhancing relationships between residents and faculty members through participatory intervention and extracurricular activities can improve faculty-resident connectivity and residents’ perception of personal accomplishment and educational environment quality.

Social networks influence the health and well-being of children and families. This study aimed to identify and understand the social networks of caregivers of children participating in the KidFit Health and Wellness Clinic, a paediatric weight management program. An egocentric social network analysis was used. Caregivers with children enrolled in KidFit participated in semi-structured interviews by completing a personal network map and discussing the individuals in their social networks and their influence on them and their family. Twenty-two caregivers (90.9% mothers) completed the interview. Four structural patterns were identified within the networks: existence of a core, star-shaped network, well-connected network and existence of multiple clusters. Healthcare providers and family had the most influence within the caregivers' networks. With the exception of healthcare providers, individuals who communicated less frequently with caregivers tended to have less influence on caregivers. Internet resources, activity-related resources and social media were the top three services, resources or supports that caregivers reported accessing. It is important that practitioners working with children and families within paediatric settings recognize the unique sociocultural context of each family. Reconceptualising a care model that includes community and incorporates services, supports and resources beyond the clinic could enhance treatment.