关于特立尼达和多巴哥特殊需要儿童的父母所面临的挑战及其对父母健康和福祉的影响的研究数据:一项定性研究。

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES
Data in Brief Pub Date : 2026-08-22 eCollection Date: 2026-08-01 DOI:10.1016/j.dib.2026.113184
Georgelle Da Briel, Gabrielle De Bique, Hasina Logie, Ian Mahabir, Imojin Mayers, Hannah Mendoza, Ishana Sirju, Marcia Nathai-Balkissoon
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引用次数: 0

摘要

本文介绍了在特立尼达和多巴哥收集的定性访谈数据集,重点关注有特殊需要儿童的父母的生活经历。该数据集收集了父母遇到的情感、社会和实际挑战的丰富第一手资料,以及他们与当地医疗、教育和社会支持系统的互动。获得了圣奥古斯丁西印度群岛大学校园研究伦理委员会的伦理批准,所有参与者在参与前都提供了知情的口头同意。数据通过半结构化的一对一访谈收集,通过Zoom虚拟进行,以确保可访问性,保密性和参与者的舒适度。虽然参与者可以选择面对面的采访,但所有人都选择了虚拟参与。通过支持有特殊需要家庭的宣传和社区组织促进了征聘工作。采用目的抽样法和滚雪球抽样法,选取符合特殊需要家属父母纳入标准的15名参与者。参与者在几个人口统计学特征上有所不同。他们的年龄从31岁到69岁不等。婚姻状况包括单身、已婚和丧偶。参与者有一至四个孩子,有些人有一至两个有特殊需要的孩子。受教育程度从中等到高等不等。男性和女性参与者都有代表。在分析之前,所有的访谈都被逐字记录并匿名。专题分析使用QDA Miner软件通过涉及数据编码、分类和合成的多阶段过程进行。数据饱和度决定了最终的样本量,确保了足够的深度和跨社会经济、地理和残疾类型变化的多样性。数据集包括匿名采访记录和专题分析期间产生的编码输出表。它提供了关于小岛屿发展中国家特殊需要儿童的父母所经历的照料实践、系统障碍和心理社会影响的详细定性证据。该数据集具有很强的重用潜力,可用于对护理人员福祉、残疾包容和社会支持机制的跨文化或纵向分析,以及为类似区域背景下的循证政策制定和计划设计提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data on a study of the challenges faced by parents of special needs children and their impact on parental health and well-being in Trinidad and Tobago: A qualitative study.

This article presents a qualitative interview dataset collected in Trinidad and Tobago, focusing on the lived experiences of parents of children with special needs. The dataset captures rich, first-hand accounts of the emotional, social, and practical challenges encountered by parents, as well as their interactions with local healthcare, educational, and social support systems. Ethical approval was obtained from the Campus Research Ethics Committee, The University of the West Indies, St. Augustine, and all participants provided informed verbal consent before participation. Data were collected through semi-structured one-on-one interviews conducted virtually via Zoom to ensure accessibility, confidentiality, and participant comfort. Although participants were given the option of in-person interviews, all opted for virtual participation. Recruitment was facilitated through advocacy and community organizations supporting special needs families. Purposive and snowball sampling methods were employed to select 15 participants who met the inclusion criteria of being parents of special needs dependents. The participants varied across several demographic characteristics. Their ages ranged from 31 to 69 years. Marital status included single, married, and widowed individuals. Participants had between one and four children, with some having one or two children with special needs. Educational attainment ranged from secondary-level education to tertiary-level education. Both male and female participants were represented. All interviews were transcribed verbatim and anonymized before analysis. Thematic analysis was performed using QDA Miner software through a multistage process involving data coding, categorization, and synthesis. Data saturation determined the final sample size, ensuring adequate depth and diversity across socioeconomic, geographic, and disability type variations. The dataset includes anonymized interview transcripts and coded output tables produced during thematic analysis. It provides detailed qualitative evidence on caregiving practices, systemic barriers, and psychosocial impacts experienced by parents of special needs children in a small-island developing state. The dataset offers strong potential for reuse in cross-cultural or longitudinal analyses on caregiver well-being, disability inclusion, and social support mechanisms, as well as for informing evidence-based policy development and program design in similar regional contexts.

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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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