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Mobile Technology Affinity in Renal Transplant Recipients.

Mobile Technology Affinity in Renal Transplant Recipients.

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Mobile Technology Affinity in Renal Transplant Recipients.

Transplant Proc. 2018 Jan - Feb;50(1):92-98

Authors: Reber S, Scheel J, Stoessel L, Schieber K, Jank S, Lüker C, Vitinius F, Grundmann F, Eckardt KU, Prokosch HU, Erim Y

Abstract
BACKGROUND: Medication nonadherence is a common problem in renal transplant recipients (RTRs). Mobile health approaches to improve medication adherence are a current trend, and several medication adherence apps are available. However, it is unknown whether RTRs use these technologies and to what extent. In the present study, the mobile technology affinity of RTRs was analyzed. We hypothesized significant age differences in mobile technology affinity and that mobile technology affinity is associated with better cognitive functioning as well as higher educational level.
METHODS: A total of 109 RTRs (63% male) participated in the cross-sectional study, with an overall mean age of 51.8 ± 14.2 years. The study included the Technology Experience Questionnaire (TEQ) for the assessment of mobile technology affinity, a cognitive test battery, and sociodemographic data.
RESULTS: Overall, 57.4% of the patients used a smartphone or tablet and almost 45% used apps. The TEQ sum score was 20.9 in a possible range from 6 (no affinity to technology) to 30 (very high affinity). Younger patients had significantly higher scores in mobile technology affinity. The only significant gender difference was found in having fun with using electronic devices: Men enjoyed technology more than women did. Mobile technology affinity was positively associated with cognitive functioning and educational level.
CONCLUSIONS: Young adult patients might profit most from mobile health approaches. Furthermore, high educational level and normal cognitive functioning promote mobile technology affinity. This should be kept in mind when designing mobile technology health (mHealth) interventions for RTRs. For beneficial mHealth interventions, further research on potential barriers and desired technologic features is necessary to adapt apps to patients' needs.

PMID: 29407338 [PubMed - indexed for MEDLINE]

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