基于定性地理信息系统整合非营利性服务数据探索疾病真实体验的混合方法研究——以农村心理健康为例

IF 3.8 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Peter Kamstra, J. Farmer, Anthony McCosker, F. Gardiner, H. Dalton, David Perkins, L. Salvador-Carulla, N. Bagheri
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引用次数: 5

摘要

满足农村人口的心理健康需求在国际上具有挑战性,因为几乎没有方法和数据可以为特定地点的规划提供信息。我们开发了一种混合方法,将非营利组织数据整合到地理信息系统中,以探索对农村地区心理健康体验的相互理解。通过GIS将来自在线论坛的定性体验数据与来自服务搜索和紧急求助地点的定量数据相结合,展示了如何从道德角度获取、重用、整合、分析和挖掘NFP健康服务数据,以探索农村地区的心理健康体验。本文为混合方法文献做出了贡献,这是一种利用NFP卫生服务数据集在数据稀缺的情况下为研究提供信息的伦理方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Mixed Methods Approach for Integrating Not-for-Profit Service Data via Qualitative Geographic Information System to Explore Authentic Experiences of Ill-Health: A Case Study of Rural Mental Health
Meeting the mental health needs of rural populations is challenging internationally, with few methods and scarce data available to inform site-specific planning. We developed a mixed methods approach that integrates Not-for-profit (NFP) organization data in a Geographic Information System (GIS) to explore interrelated understandings of mental health experiences in rural places. Integrating qualitative experience data from online forums with quantitative data from service search and emergency pickup locations via GIS demonstrates how NFP health service data can be ethically sourced, reused, integrated, analyzed, and ground-truthed to explore how mental health is experienced in rural places. This article contributes to the mixed methods literature an ethical approach that utilizes NFP health service datasets to inform research in contexts of data scarcity.
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来源期刊
Journal of Mixed Methods Research
Journal of Mixed Methods Research SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.40
自引率
28.20%
发文量
36
期刊介绍: The Journal of Mixed Methods Research serves as a premiere outlet for ground-breaking and seminal work in the field of mixed methods research. Of primary importance will be building an international and multidisciplinary community of mixed methods researchers. The journal''s scope includes exploring a global terminology and nomenclature for mixed methods research, delineating where mixed methods research may be used most effectively, creating the paradigmatic and philosophical foundations for mixed methods research, illuminating design and procedure issues, and determining the logistics of conducting mixed methods research. JMMR invites articles from a wide variety of international perspectives, including academics and practitioners from psychology, sociology, education, evaluation, health sciences, geography, communication, management, family studies, marketing, social work, and other related disciplines across the social, behavioral, and human sciences.
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