Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis

Author summaryWhy was this study done? The public healthcare systems are overburdened with manpower shortage, long waiting time, infrequent structured evaluation, and insufficient patient engagement, while structured patient assessment and education is often not provided in the private sector due to...

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Main Authors: Lim, Lee Ling, Lau, Eric S. H., Ozaki, Risa, Chung, Harriet, Fu, Amy W. C., Chan, Wendy, Kong, Alice P. S., Ma, Ronald C. W., So, Wing-Yee, Chow, Elaine, Cheung, Kitty K. T., Yau, Tiffany, Chow, C. C., Lau, Vanessa, Yue, Rebecca, Ng, Shek, Zee, Benny, Goggins, William, Oldenburg, Brian, Clarke, Philip M., Lau, Maggie, Wong, Rebecca, Tsang, C. C., Gregg, Edward W., Wu, Hongjiang, Tong, Peter C. Y., Ko, Gary T. C., Luk, Andrea O. Y., Chan, Juliana C. N.
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Published: PUBLIC LIBRARY SCIENCE 2020
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Online Access:http://eprints.um.edu.my/36370/
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id my.um.eprints.36370
record_format eprints
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine
spellingShingle R Medicine
Lim, Lee Ling
Lau, Eric S. H.
Ozaki, Risa
Chung, Harriet
Fu, Amy W. C.
Chan, Wendy
Kong, Alice P. S.
Ma, Ronald C. W.
So, Wing-Yee
Chow, Elaine
Cheung, Kitty K. T.
Yau, Tiffany
Chow, C. C.
Lau, Vanessa
Yue, Rebecca
Ng, Shek
Zee, Benny
Goggins, William
Oldenburg, Brian
Clarke, Philip M.
Lau, Maggie
Wong, Rebecca
Tsang, C. C.
Gregg, Edward W.
Wu, Hongjiang
Tong, Peter C. Y.
Ko, Gary T. C.
Luk, Andrea O. Y.
Chan, Juliana C. N.
Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis
description Author summaryWhy was this study done? The public healthcare systems are overburdened with manpower shortage, long waiting time, infrequent structured evaluation, and insufficient patient engagement, while structured patient assessment and education is often not provided in the private sector due to high costs and/or lack of capacity. In 2007, we developed the web-based Joint Asia Diabetes Evaluation (JADE) Program, a multicomponent data-driven integrated care program, to close care gaps in both private and public sectors in Hong Kong. It combines the use of nonphysician personnel (e.g., nurses), information and communications technology (ICT), and structured evaluation with issue of personalized JADE reports to empower patients and promote shared decision-making. In 2007, we also established a community-based, nurse-led diabetes center to complement public and private care in Hong Kong by increasing community access to JADE-assisted evaluation for personalized empowerment and engagement. What did the researchers do and find? This retrospective analysis involved 16,624 patients with type 2 diabetes enrolled from the public and private sector in Hong Kong between 2007 and 2015. We categorized these patients into 3 groups, namely non-JADE, JADE, and JADE-Personalized (JADE-P), and compared their risk for clinical events after 6 years of follow-up. Compared with the JADE group (publicly funded evaluation with JADE reports and group education), the non-JADE group (publicly funded evaluation only) had 19%-34% higher risk of clinical events, including hospitalization. Compared with the JADE group, the JADE-P group (self-paid evaluation with JADE reports, personalized empowerment, and annual telephone reminder for engagement) had 23%-36% lower risk of clinical events, including hospitalization and death. What do these findings mean? Multicomponent, data-driven integrated care, assisted by nonphysician personnel and ICT, is associated with a reduction in clinical events and death in patients with type 2 diabetes. Its implementation in the private sector is an affordable option for patients who opt for a more user-friendly and personalized care and may reduce the burden of hospitalization in the public sector. Background Diabetes outcomes are influenced by host factors, settings, and care processes. We examined the association of data-driven integrated care assisted by information and communications technology (ICT) with clinical outcomes in type 2 diabetes in public and private healthcare settings. Methods and findings The web-based Joint Asia Diabetes Evaluation (JADE) platform provides a protocol to guide data collection for issuing a personalized JADE report including risk categories (1-4, low-high), 5-year probabilities of cardiovascular-renal events, and trends and targets of 4 risk factors with tailored decision support. The JADE program is a prospective cohort study implemented in a naturalistic environment where patients underwent nurse-led structured evaluation (blood/urine/eye/feet) in public and private outpatient clinics and diabetes centers in Hong Kong. We retrospectively analyzed the data of 16,624 Han Chinese patients with type 2 diabetes who were enrolled in 2007-2015. In the public setting, the non-JADE group (n= 3,587) underwent structured evaluation for risk factors and complications only, while the JADE (n= 9,601) group received a JADE report with group empowerment by nurses. In a community-based, nurse-led, university-affiliated diabetes center (UDC), the JADE-Personalized (JADE-P) group (n= 3,436) received a JADE report, personalized empowerment, and annual telephone reminder for reevaluation and engagement. The primary composite outcome was time to the first occurrence of cardiovascular-renal diseases, all-site cancer, and/or death, based on hospitalization data censored on 30 June 2017. During 94,311 person-years of follow-up in 2007-2017, 7,779 primary events occurred. Compared with the JADE group (136.22 cases per 1,000 patient-years 95% CI 132.35-140.18]), the non-JADE group had higher (145.32 95% CI 138.68-152.20];P= 0.020) while the JADE-P group had lower event rates (70.94 95% CI 67.12-74.91];P< 0.001). The adjusted hazard ratios (aHRs) for the primary composite outcome were 1.22 (95% CI 1.15-1.30) and 0.70 (95% CI 0.66-0.75), respectively, independent of risk profiles, education levels, drug usage, self-care, and comorbidities at baseline. We reported consistent results in propensity-score-matched analyses and after accounting for loss to follow-up. Potential limitations include its nonrandomized design that precludes causal inference, residual confounding, and participation bias. Conclusions ICT-assisted integrated care was associated with a reduction in clinical events, including death in type 2 diabetes in public and private healthcare settings.
format Article
author Lim, Lee Ling
Lau, Eric S. H.
Ozaki, Risa
Chung, Harriet
Fu, Amy W. C.
Chan, Wendy
Kong, Alice P. S.
Ma, Ronald C. W.
So, Wing-Yee
Chow, Elaine
Cheung, Kitty K. T.
Yau, Tiffany
Chow, C. C.
Lau, Vanessa
Yue, Rebecca
Ng, Shek
Zee, Benny
Goggins, William
Oldenburg, Brian
Clarke, Philip M.
Lau, Maggie
Wong, Rebecca
Tsang, C. C.
Gregg, Edward W.
Wu, Hongjiang
Tong, Peter C. Y.
Ko, Gary T. C.
Luk, Andrea O. Y.
Chan, Juliana C. N.
author_facet Lim, Lee Ling
Lau, Eric S. H.
Ozaki, Risa
Chung, Harriet
Fu, Amy W. C.
Chan, Wendy
Kong, Alice P. S.
Ma, Ronald C. W.
So, Wing-Yee
Chow, Elaine
Cheung, Kitty K. T.
Yau, Tiffany
Chow, C. C.
Lau, Vanessa
Yue, Rebecca
Ng, Shek
Zee, Benny
Goggins, William
Oldenburg, Brian
Clarke, Philip M.
Lau, Maggie
Wong, Rebecca
Tsang, C. C.
Gregg, Edward W.
Wu, Hongjiang
Tong, Peter C. Y.
Ko, Gary T. C.
Luk, Andrea O. Y.
Chan, Juliana C. N.
author_sort Lim, Lee Ling
title Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis
title_short Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis
title_full Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis
title_fullStr Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis
title_full_unstemmed Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis
title_sort association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in hong kong using the prospective jade program: a retrospective cohort analysis
publisher PUBLIC LIBRARY SCIENCE
publishDate 2020
url http://eprints.um.edu.my/36370/
_version_ 1787133816781930496
spelling my.um.eprints.363702023-12-28T13:09:15Z http://eprints.um.edu.my/36370/ Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis Lim, Lee Ling Lau, Eric S. H. Ozaki, Risa Chung, Harriet Fu, Amy W. C. Chan, Wendy Kong, Alice P. S. Ma, Ronald C. W. So, Wing-Yee Chow, Elaine Cheung, Kitty K. T. Yau, Tiffany Chow, C. C. Lau, Vanessa Yue, Rebecca Ng, Shek Zee, Benny Goggins, William Oldenburg, Brian Clarke, Philip M. Lau, Maggie Wong, Rebecca Tsang, C. C. Gregg, Edward W. Wu, Hongjiang Tong, Peter C. Y. Ko, Gary T. C. Luk, Andrea O. Y. Chan, Juliana C. N. R Medicine Author summaryWhy was this study done? The public healthcare systems are overburdened with manpower shortage, long waiting time, infrequent structured evaluation, and insufficient patient engagement, while structured patient assessment and education is often not provided in the private sector due to high costs and/or lack of capacity. In 2007, we developed the web-based Joint Asia Diabetes Evaluation (JADE) Program, a multicomponent data-driven integrated care program, to close care gaps in both private and public sectors in Hong Kong. It combines the use of nonphysician personnel (e.g., nurses), information and communications technology (ICT), and structured evaluation with issue of personalized JADE reports to empower patients and promote shared decision-making. In 2007, we also established a community-based, nurse-led diabetes center to complement public and private care in Hong Kong by increasing community access to JADE-assisted evaluation for personalized empowerment and engagement. What did the researchers do and find? This retrospective analysis involved 16,624 patients with type 2 diabetes enrolled from the public and private sector in Hong Kong between 2007 and 2015. We categorized these patients into 3 groups, namely non-JADE, JADE, and JADE-Personalized (JADE-P), and compared their risk for clinical events after 6 years of follow-up. Compared with the JADE group (publicly funded evaluation with JADE reports and group education), the non-JADE group (publicly funded evaluation only) had 19%-34% higher risk of clinical events, including hospitalization. Compared with the JADE group, the JADE-P group (self-paid evaluation with JADE reports, personalized empowerment, and annual telephone reminder for engagement) had 23%-36% lower risk of clinical events, including hospitalization and death. What do these findings mean? Multicomponent, data-driven integrated care, assisted by nonphysician personnel and ICT, is associated with a reduction in clinical events and death in patients with type 2 diabetes. Its implementation in the private sector is an affordable option for patients who opt for a more user-friendly and personalized care and may reduce the burden of hospitalization in the public sector. Background Diabetes outcomes are influenced by host factors, settings, and care processes. We examined the association of data-driven integrated care assisted by information and communications technology (ICT) with clinical outcomes in type 2 diabetes in public and private healthcare settings. Methods and findings The web-based Joint Asia Diabetes Evaluation (JADE) platform provides a protocol to guide data collection for issuing a personalized JADE report including risk categories (1-4, low-high), 5-year probabilities of cardiovascular-renal events, and trends and targets of 4 risk factors with tailored decision support. The JADE program is a prospective cohort study implemented in a naturalistic environment where patients underwent nurse-led structured evaluation (blood/urine/eye/feet) in public and private outpatient clinics and diabetes centers in Hong Kong. We retrospectively analyzed the data of 16,624 Han Chinese patients with type 2 diabetes who were enrolled in 2007-2015. In the public setting, the non-JADE group (n= 3,587) underwent structured evaluation for risk factors and complications only, while the JADE (n= 9,601) group received a JADE report with group empowerment by nurses. In a community-based, nurse-led, university-affiliated diabetes center (UDC), the JADE-Personalized (JADE-P) group (n= 3,436) received a JADE report, personalized empowerment, and annual telephone reminder for reevaluation and engagement. The primary composite outcome was time to the first occurrence of cardiovascular-renal diseases, all-site cancer, and/or death, based on hospitalization data censored on 30 June 2017. During 94,311 person-years of follow-up in 2007-2017, 7,779 primary events occurred. Compared with the JADE group (136.22 cases per 1,000 patient-years 95% CI 132.35-140.18]), the non-JADE group had higher (145.32 95% CI 138.68-152.20];P= 0.020) while the JADE-P group had lower event rates (70.94 95% CI 67.12-74.91];P< 0.001). The adjusted hazard ratios (aHRs) for the primary composite outcome were 1.22 (95% CI 1.15-1.30) and 0.70 (95% CI 0.66-0.75), respectively, independent of risk profiles, education levels, drug usage, self-care, and comorbidities at baseline. We reported consistent results in propensity-score-matched analyses and after accounting for loss to follow-up. Potential limitations include its nonrandomized design that precludes causal inference, residual confounding, and participation bias. Conclusions ICT-assisted integrated care was associated with a reduction in clinical events, including death in type 2 diabetes in public and private healthcare settings. PUBLIC LIBRARY SCIENCE 2020-10 Article PeerReviewed Lim, Lee Ling and Lau, Eric S. H. and Ozaki, Risa and Chung, Harriet and Fu, Amy W. C. and Chan, Wendy and Kong, Alice P. S. and Ma, Ronald C. W. and So, Wing-Yee and Chow, Elaine and Cheung, Kitty K. T. and Yau, Tiffany and Chow, C. C. and Lau, Vanessa and Yue, Rebecca and Ng, Shek and Zee, Benny and Goggins, William and Oldenburg, Brian and Clarke, Philip M. and Lau, Maggie and Wong, Rebecca and Tsang, C. C. and Gregg, Edward W. and Wu, Hongjiang and Tong, Peter C. Y. and Ko, Gary T. C. and Luk, Andrea O. Y. and Chan, Juliana C. N. (2020) Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis. PLOS MEDICINE, 17 (10). ISSN 15491277, DOI https://doi.org/10.1371/JOURNAL.PMED.1003367 <https://doi.org/10.1371/JOURNAL.PMED.1003367>. 10.1371/JOURNAL.PMED.1003367
score 13.211869