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Shariful Islam, S.M.* ; Lechner, A.* ; Ferrari, U.* ; Seissler, J.* ; Holle, R. ; Niessen, L.W.*

Mobile phone use and willingness to pay for SMS for diabetes in Bangladesh.

J. Public Health 38, 163-169 (2016)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
BACKGROUND: Mobile phone SMS is increasingly used as a means of communication between patients and their healthcare providers in many countries of the world. We investigated mobile phone use and factors associated with willingness-to-pay (WTP) for diabetes SMS among patients with type 2 diabetes in Bangladesh. METHODS: As part of a randomized controlled study, in 515 patients with type 2 diabetes, socioeconomic status, mobile phone use, WTP for diabetes SMS, anthropometry and HbA1c were measured. Multivariate regression was used to identify factors associated with WTP. RESULTS: The median (interquartile range [IQR]) of WTP for diabetes SMS was 20 (45) Bangladesh Taka (BDT) (1 BDT = 0.013 US$). WTP was significantly higher for males [OR 2.4, 95% CI (1.0-5.7)], patients with household income >50 000 BDT [4.6 (1.1-20.4)] and those with primary education [5.6 (1.2-26.6)] and secondary and higher education [5.2 (1.4-19.6)]. CONCLUSIONS: The high proportion of mobile phone use and WTP for diabetes SMS are encouraging as possible strategy to use such technologies and deserve further evaluation.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Chronic Disease ; Diabetes ; Economics ; Mobile Phone ; Short Message Services (sms) ; Willingness To Pay; Contingent Valuation; Developing-countries; Health-care; Intervention; Adherence
ISSN (print) / ISBN 1746-5729
Zeitschrift Journal of Public Mental Health
Quellenangaben Band: 38, Heft: 1, Seiten: 163-169 Artikelnummer: , Supplement: ,
Verlag Emerald
Verlagsort Oxford
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Health Economics and Health Care Management (IGM)
CCG Biomarker for the subclassification of T2DM (KKG-KDB)
CCG Nutrigenomics and Type 2 Diabetes (KKG-KDN)