Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Livia Jia Yi Oo"'
Autor:
Yu Heng Kwan, Dan V. Blalock, Truls Østbye, Warren Fong, Lian Leng Low, Jie Kie Phang, Kai Zhen Yap, Hayden B. Bosworth, Julian Thumboo, Corrinne Yong Koon Tan, Eng-Hui Chew, Sungwon Yoon, Si Dun Weng, Livia Jia Yi Oo, Dionne Hui Fang Loh
Publikováno v:
Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 10, p e19089 (2020)
Journal of Medical Internet Research, Vol 22, Iss 10, p e19089 (2020)
Background Medication adherence is important in managing the progression of chronic diseases. A promising approach to reduce cognitive burden when measuring medication adherence lies in the use of computer‐adaptive tests (CATs) or in the developmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dede75fd829ffeed89c1ffe6f5fc0815
http://europepmc.org/articles/PMC7582150
http://europepmc.org/articles/PMC7582150
Autor:
Yu Heng Kwan, Si Dun Weng, Dionne Hui Fang Loh, Jie Kie Phang, Livia Jia Yi Oo, Dan V Blalock, Eng Hui Chew, Kai Zhen Yap, Corrinne Yong Koon Tan, Sungwon Yoon, Warren Fong, Truls Østbye, Lian Leng Low, Hayden Barry Bosworth, Julian Thumboo
BACKGROUND Medication adherence is essential for improving the health outcomes of patients. Various patient-reported outcome measures (PROMs) have been developed to measure medication adherence in patients. However, no study has summarized the psycho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be8932bccab768f117b285e999eddaff
https://doi.org/10.2196/preprints.19179
https://doi.org/10.2196/preprints.19179
Autor:
Sungwon Yoon, Jie Kie Phang, Si Dun Weng, Hayden B. Bosworth, Warren Fong, Livia Jia Yi Oo, Yu Heng Kwan, Dionne Hui Fang Loh, Lian Leng Low, Corrinne Yong Koon Tan, Eng-Hui Chew, Truls Østbye, Dan V. Blalock, Julian Thumboo, Kai Zhen Yap
Publikováno v:
Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 10, p e19179 (2020)
Journal of Medical Internet Research, Vol 22, Iss 10, p e19179 (2020)
Background Medication adherence is essential for improving the health outcomes of patients. Various patient-reported outcome measures (PROMs) have been developed to measure medication adherence in patients. However, no study has summarized the psycho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35181ba6b3f278dbd8b1518ad1b41dae
https://pubmed.ncbi.nlm.nih.gov/33034566
https://pubmed.ncbi.nlm.nih.gov/33034566
Autor:
Yu Heng Kwan, Livia Jia Yi Oo, Dionne Hui Fang Loh, Jie Kie Phang, Si Dun Weng, Dan V Blalock, Eng Hui Chew, Kai Zhen Yap, Corrinne Yong Koon Tan, Sungwon Yoon, Warren Fong, Truls Østbye, Lian Leng Low, Hayden Barry Bosworth, Julian Thumboo
BACKGROUND Medication adherence is important in managing the progression of chronic diseases. A promising approach to reduce cognitive burden when measuring medication adherence lies in the use of computer‐adaptive tests (CATs) or in the developmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91d1c237a2c00454e9960c084bbf4cb0
https://doi.org/10.2196/preprints.19089
https://doi.org/10.2196/preprints.19089