Measuring the perceived wellbeing of hemodialysis patients: A Mind Genomics cartography

Ermira Jahja, Petraq Papajorgji, Howard Moskowitz, Ioanna Margioukla, Fjona Nasto, Arjeta Dedej, Paola Pina, Mikel Shella, Manjola Collaku, Erjona Kaziu and Kristela Gjoni

PLOS ONE, 2024, vol. 19, issue 5, 1-14

Abstract: Chronic Kidney Disease patients under hemodialysis have high morbidity rate, which tends to considerably affect their health-related quality of life. Multiple studies that have made use of different questionnaries report the poor life quality of this patient group. The research in hand implemented the Mind Genomics Approach as a method to asses the health-related quality of life of hemodialysis patients, while relying on conjoint measurements to group individuals with similar patterns of responses to a certain mindset. The study is conducted in 3 clinics with 219 patients. It uncovers three clusters or mindsets: Mindset 1- Feels guardedly optimistic but worried about money, Mindset 2—Feels strongly positive because the state guarantees and the family supports, Mindset 3—Feels positive only about money. Based on the analysis of the collected data, the findings of this study suggest that the quality of life in hemodialysis patients is highly correlated to their financial status. The current study is one of the few first attempts to apply Mind Genomics in medical settings and the first, to our knowledge, in hemodialysis centers. This technology might enable healthcare proffesionals to provide personalized psychological treatment and additional social support to patients, which in turn could improve their clinical outcomes. The study is an example of using technology as a service.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0302526

DOI: 10.1371/journal.pone.0302526

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