TY - JOUR
T1 - A Novel Mixed Methods Approach for Integrating Not-for-Profit Service Data via Qualitative Geographic Information System to Explore Authentic Experiences of Ill-Health
T2 - A Case Study of Rural Mental Health
AU - Kamstra, Peter
AU - Farmer, Jane
AU - McCosker, Anthony
AU - Gardiner, Fergus
AU - Dalton, Hazel
AU - Perkins, David
AU - Salvador-Carulla, Luis
AU - Bagheri, Nasser
N1 - Funding Information:
The authors would like to thank the Paul Ramsey Foundation, SANE Australia, Beyond Blue, Infoxchange and the Royal Flying Doctor Service for their contributions to this research. This work was partly funded by the Australian Research Council Discovery Project DP200100419 (2020–2023).
Publisher Copyright:
© The Author(s) 2022.
PY - 2023/10
Y1 - 2023/10
N2 - 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.
AB - 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.
KW - mental health
KW - mixed methods
KW - not-for-profit organization
KW - qualitative GIS
KW - rural
UR - http://www.scopus.com/inward/record.url?scp=85140593859&partnerID=8YFLogxK
U2 - 10.1177/15586898221135291
DO - 10.1177/15586898221135291
M3 - Article
AN - SCOPUS:85140593859
SN - 1558-6898
VL - 17
SP - 419
EP - 442
JO - Journal of Mixed Methods Research
JF - Journal of Mixed Methods Research
IS - 4
ER -
