Many health conditions perceived to be contagious, dangerous or incurable, or resulting in clearly visible signs, share a common attribute – an association with stigma and discrimination. While the etiology of stigma may differ between conditions and, sometimes, cultural settings, the manifestations and psychosocial consequences of stigma and discrimination are remarkably similar. However, the vast majority of studies measuring stigma or addressing stigma through interventions employ a disease-specific approach. The current paper opposes this siloed approach and advocates a generic concept of ‘health-related stigma’ in both stigma measurement and stigma interventions. Employing a conceptual model adapted from Weiss, the current paper demonstrates the commonalities among several major stigmatized conditions by examining how several stigma measurement instruments, such as the Social Distance Scale, Explanatory Model Interview Catalogue, Internalized Stigma of Mental Illness, and Berger stigma scale, and stigma reduction interventions, such as information-based approaches, contact with affected persons, (peer) counselling, and skills building and empowerment, were used successfully across a variety of conditions to measure or address stigma. The results demonstrate that ‘health-related stigma’ is a viable concept with clearly identifiable characteristics that are similar across a variety of stigmatized health conditions in very diverse cultures. A more generic approach to the study of health-related stigma opens up important practical opportunities – cross-cutting measurement and intervention tools are resource saving and easier to use for personnel working with multiple conditions, allow for comparison between conditions, and recognize the intersectionality of many types of stigma. Further research is needed to build additional evidence demonstrating the advantages and effectiveness of cross-condition approaches to stigma measurement and interventions.
Stigma, discrimination, poor help seeking, dearth of mental health professionals, inadequate services and facilities all adversely impact the mental health treatment gap. Service utilization by the community is influenced by cultural beliefs and literacy levels. We conducted a situational analysis in light of the little information available on mental health related stigma, service provision and utilization in Haryana, a state in Northern India. This involved: (a) qualitative key informant interviews; (b) health facility records review; and (c) policy document review to understand the local context of Faridabad district in Northern India. Ethical approvals for the study were taken before the study commenced. Phone call in-depth interviews were carried out with a purposive sample of 13 participants (Mean = 38.07 years) during the COVID-19 pandemic, which included 4 community health workers, 4 people with mental illness, 5 service providers (primary health care doctors and mental health specialists). Data for health facility review was collected from local primary health and specialist facilities while key policy documents were critically analysed for service provision and stigma alleviation activities. Thematic analysis was used to analyse patterns within the interview data. We found poor awareness and knowledge about mental illnesses, belief in faith and traditional healers, scarcity of resources (medicines, trained professionals and mental health inpatient and outpatient clinics), poor access to appropriate mental health facilities, and high costs for seeking mental health care. There is a critical gap between mental health related provisions in policy documents and its implementation at primary and district level.
Obtaining accurate and valid measurements of disruptive behavior disorders remains a challenge in non-Western settings due to variability in societal norms for child behavior and a lack of tools developed outside of Western contexts. This paper assesses the reliability and construct validity of the Disruptive Behavior International Scale – Nepal version (DBIS-N)—a scale developed using ethnographic research in Nepal—and compares it with a widely used Western-derived scale in assessing locally defined child behavior problems. We assessed a population-based sample of 268 children ages 5–15 years old in Nepal for behavior problems with a pool of candidate items developed from ethnographic research. We selected final items for the DBIS-N using exploratory factor analysis in a randomly selected half of the sample and then evaluated the model fit using confirmatory factor analysis in the remaining half. We compared the classification accuracy and incremental validity of the DBIS-N and Eyberg Child Behavior Inventory (ECBI) using local defined behavior problems as criteria. Local criteria were assessed via parent report using: 1) local behavior problem terms, and 2) a locally developed vignette-based assessment. Ten items were selected for the final scale. The DBIS-N had good internal consistency (Cronbach’s α: 0.84) and excellent test-retest reliability (intraclass correlation 0.93, r = .93). Classification accuracy and area under the curve (AUC) were similar and high for both the ECBI (AUC: 0.83 and 0.85) and DBIS-N (AUC: 0.83 and 0.85) on both local criteria. The DBIS-N added predictive value above the ECBI in logistic regression models, supporting its incremental validity. While both the DBIS-N and the ECBI had high classification accuracy for local idioms for behavior problems, the DBIS-N had a more coherent factor structure and added predictive value above the ECBI. Items from the DBIS-N were more consistent with cultural themes identified in qualitative research, whereas multiple items in the ECBI that did not fit with these themes performed poorly in factor analysis. In conjunction with practical considerations such as price and scale length, our results lend support for the utility of the DBIS-N for the assessment of locally prioritized behavior problems in Nepal.