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

Peter Kamstra, Jane Farmer, Anthony McCosker, Fergus Gardiner, Hazel Dalton, David Perkins, Luis Salvador-Carulla, Nasser Bagheri

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)15586898221135291
JournalJournal of Mixed Methods Research
DOIs
Publication statusPublished - 21 Oct 2022

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