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Innovation practice using pervasive mobile technology solutions to improve population health management: a pilot study of gestational diabetes patient care in Australia

Wickramasinghe, Nilmini and Gururajan, Raj 2016, Innovation practice using pervasive mobile technology solutions to improve population health management: a pilot study of gestational diabetes patient care in Australia, Journal for healthcare quality, vol. 38, no. 2, pp. 93-105, doi: 10.1097/JHQ.0000000000000033.

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Title Innovation practice using pervasive mobile technology solutions to improve population health management: a pilot study of gestational diabetes patient care in Australia
Author(s) Wickramasinghe, Nilmini
Gururajan, Raj
Journal name Journal for healthcare quality
Volume number 38
Issue number 2
Start page 93
End page 105
Total pages 13
Publisher Lippincott Williams & Wilkins
Place of publication Philadelphia, Pa.
Publication date 2016-03
ISSN 1945-1474
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Health Care Sciences & Services
Health Policy & Services
population health management
gestational diabetes mellitus
pervasive mobile technology solution
SELF-MANAGEMENT
MELLITUS
SERVICES
PREVALENCE
HOSPITALS
KNOWLEDGE
TRIAL
Summary Healthcare service delivery is moving forward from individual care to population health management, because of the fast growth of health records. However, to improve population health performance, it is necessary to leverage relevant data and information using new technology solutions, such as pervasive diabetes mobile technology solution of Inet International Inc., which offers the potential to facilitate patient empowerment with gestational diabetic care. Hence, this article examines the pilot study outcomes of a small clinical trial focusing on pregnant patients affected by gestational diabetes mellitus, in an Australian not for profit healthcare context. The aims include establishing proof of concept and also assessing the usability, acceptability, and functionality of this mobile solution and thereby generate hypotheses to be tested in a large-scale confirmatory clinical trial.
Language eng
DOI 10.1097/JHQ.0000000000000033
Field of Research 1117 Public Health And Health Services
1110 Nursing
Socio Economic Objective 920499 Public Health (excl. Specific Population Health) not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, National Association for Healthcare Quality
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084683

Document type: Journal Article
Collection: Faculty of Health
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