Cultural adaption and validation of the Explanatory Model Interview Catalogue-Community Stigma Scale in the assessment of public stigma related to schistosomiasis in lakeshore areas of Mwanza region, Tanzania.

IF 3.8 2区 医学 Q1 Medicine PLoS Neglected Tropical Diseases Pub Date : 2023-08-14 eCollection Date: 2023-08-01 DOI:10.1371/journal.pntd.0011534
Laura Klinker, Anne Boeckler, Saskia Kreibich, Humphrey Mazigo
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Abstract

Background: Previous qualitative studies on attitudes towards schistosomiasis demonstrated inconclusive results on the extent of stigma towards schistosomiasis in endemic communities around the world. The Explanatory Model Interview Catalogue-Community Stigma Scale (EMIC-CSS) has been used and validated for the assessment of public stigma across numerous countries in various health conditions. This study tested the performance of the scale in the context of stigma related to schistosomiasis in twelve communities in the three districts of Magu, Nyamagana and Ilemela in Mwanza region, Tanzania.

Methodology/principal findings: The 15-item-version of the EMC-CSS was first translated to Kiswahili language. The translation was discussed within the research team to retain the meaning of the items and implement cultural adaptations. Validation of the adapted EMIC-CSS scale was conducted following the framework of Herdman and Fox- Rushby. A pilot study with 41 participants from two communities provided the basis for testing the performance of each item and assessing the semantic and operational equivalence of the scales. In addition, eight qualitative focus group discussions (FGDs) were conducted to evaluate the conceptional equivalence of the EMIC-CSS. Finally, the performance of the adjusted scale was tested on 200 participants with a 50:50 male-female ratio from ten communities. The mean score of the EMIC-CSS M = 8.35 (SD = 6.63) shows clear indications for public stigma towards schistosomiasis. The EMIC-CSS demonstrated a good internal consistency with Cronbach's alpha α = .857 and no floor and ceiling effects.

Conclusion/significance: The results demonstrate that the EMIC-CSS is a useful instrument in assessing public stigma towards schistosomiasis and allow a clear recommendation of the EMIC-CSS for schistosomiasis in the Tanzanian culture. However, future studies are additionally recommended to address specific aspects and forms of the disease and how they contribute to the development of stigma towards schistosomiasis.

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坦桑尼亚姆万扎地区湖岸地区血吸虫病相关公众污名评估中解释性模型访谈目录社区污名量表的文化适应和验证。
背景:先前对血吸虫病态度的定性研究表明,世界各地血吸虫病流行社区对血吸虫病的污名程度没有定论。解释性模型访谈目录社区污名量表(EMIC-CSS)已被用于评估许多国家在各种健康状况下的公众污名。本研究在坦桑尼亚姆万扎地区马古、尼亚马加纳和伊雷梅拉三个区的12个社区测试了该量表在与血吸虫病相关的污名背景下的表现。方法/主要发现:EMC-CSS的15项版本首次被翻译成斯瓦希里语。研究小组对翻译进行了讨论,以保留项目的含义并进行文化改编。根据Herdman和Fox-Rashby的框架,对适用的EMIC-CSS量表进行了验证。一项由来自两个社区的41名参与者参与的试点研究为测试每个项目的表现以及评估量表的语义和操作等效性提供了基础。此外,还进行了八次定性焦点小组讨论(FGD),以评估EMIC-CSS的概念等效性。最后,对来自10个社区的200名男女比例为50:50的参与者进行了调整后的量表的测试。EMIC-CSS的平均得分M=8.35(SD=6.63)显示了公众对血吸虫病的污名化的明显迹象。EMIC-CSS显示出与Cronbachα=.857的良好内部一致性,并且没有地板和天花板效应。结论/意义:研究结果表明,EMIC-CSS是评估公众对血吸虫病污名的有用工具,并允许在坦桑尼亚文化中明确推荐EMIC-CSS治疗血吸虫病。然而,还建议未来的研究解决该疾病的具体方面和形式,以及它们如何导致对血吸虫病的污名化。
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来源期刊
PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases Medicine-Infectious Diseases
CiteScore
7.40
自引率
10.50%
发文量
723
审稿时长
2-3 weeks
期刊介绍: PLOS Neglected Tropical Diseases publishes research devoted to the pathology, epidemiology, prevention, treatment and control of the neglected tropical diseases (NTDs), as well as relevant public policy. The NTDs are defined as a group of poverty-promoting chronic infectious diseases, which primarily occur in rural areas and poor urban areas of low-income and middle-income countries. Their impact on child health and development, pregnancy, and worker productivity, as well as their stigmatizing features limit economic stability. All aspects of these diseases are considered, including: Pathogenesis Clinical features Pharmacology and treatment Diagnosis Epidemiology Vector biology Vaccinology and prevention Demographic, ecological and social determinants Public health and policy aspects (including cost-effectiveness analyses).
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