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.
Thematic analysis of personal networks involves identifying regularities in network structure and content, and grouping networks into types/clusters, to allow for a holistic understanding of social complexities. We propose an inductive approach to network thematic analysis, applying the learnings from qualitative coding, fused mixed-methods analysis, and typology development. It involves framing (changing focus by magnifying, aggregating, and graphical configuration), pattern detection (identification of underlying dimensions, sorting, and clustering), labeling, and triangulating (confirmation and fine-tuning using quantitative and qualitative approaches); applied repeatedly and emergently. We describe this approach utilized in two cases of studying support networks of caregivers.
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.
Background: Frequent cannabis use is associated with adverse health-related outcomes. This study followed up individuals who used cannabis to assess their use and adverse event status. Methods: The eligible individuals, recruited in the Iranian Mental Health Survey (IranMHS), were contacted via telephone calls six years after the index interview. The frequency of cannabis use and the occurrence of selected adverse events were recorded. The baseline status was extracted from the index survey. If any individual was inaccessible, his/her vital status was assessed. Findings: Of the 50 eligible individuals (all male), two had died. Moreover, from among 25 reached participants, 19 reported abstinence from cannabis in the past year, and 18 reported at least one adverse event in the past six years. Violence and imprisonment were the most common events reported. Conclusion: Six years after the index interview, most of the participants abstained from cannabis. Besides, adverse events were common, emphasizing the need for further investigations on larger samples of cannabis users.
Background: Children from lower socioeconomic status (SES) households are at greater risk for mental illnesses. Socioeconomic status has different dimensions: Objective SES, subjective SES, and contextual SES. Evidence suggests that subjective SES partially mediates the impact of objective SES on mental health. However, these hypotheses have not been tested in Middle Eastern cultures, including Iran. Objectives: We aimed to investigate: (1) if there is an association between parental objective, subjective, and contextual SES measures and their children's mental health in a network of general practitioners' clients, (2) if such an association exists for objective or contextual indicators, is it partially or fully mediated through subjective measure? and (3) if such an association exists, is it affected by children's age? Methods: We assessed 1,103 parent-child pairs in the general practitioners' network of clients. The child's mental health was assessed by the Strengths and Difficulties Questionnaire (SDQ) and parental objective SES by education level, subjective SES by the MacArthur scale, and contextual SES by the household neighborhood. Linear regression models were used to investigate the impact of different SES measures on the SDQ score both bivariately and adjusted for each other. A mediation analysis was performed for objective SES' indirect effect on SDQ score through subjective SES. Results: We found a significant association between objective and subjective SES and the SDQ score, which remained significant after adjusting for each other. Both objective and subjective measures had a small effect size (Cohen's f-squared = 0.03). There was no association between contextual SES and SDQ scores in our sample. Conclusions: Socioeconomic status impacts children and adolescents' mental health. However, SES is a multi-dimensional concept. Further research considering different dimensions is needed to understand the interplay of these dimensions in different cultures and contexts. Addressing such exploratory questions may help pave the way for detecting and addressing these social determinants in primary care settings.
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