Literature DB >> 32217498

Improving Self-Care in Patients With Coexisting Type 2 Diabetes and Hypertension by Technological Surrogate Nursing: Randomized Controlled Trial.

Calvin Kalun Or1, Kaifeng Liu1, Mike K P So2, Bernard Cheung3, Loretta Y C Yam4,5, Agnes Tiwari6, Yuen Fun Emmy Lau4, Tracy Lau4, Pui Sze Grace Hui7, Hop Chun Cheng7, Joseph Tan8, Michael Tow Cheung1,5.   

Abstract

BACKGROUND: Technological surrogate nursing (TSN) derives from the idea that nurse-caregiver substitutes can be created by technology to support chronic disease self-care.
OBJECTIVE: This paper begins by arguing that TSN is a useful and viable approach to chronic disease self-care. The analysis then focuses on the empirical research question of testing and demonstrating the effectiveness and safety of prototype TSN supplied to patients with the typical complex chronic disease of coexisting type 2 diabetes and hypertension. At the policy level, it is shown that the data allow for a calibration of TSN technology augmentation, which can be readily applied to health care management.
METHODS: A 24-week, parallel-group, randomized controlled trial (RCT) was designed and implemented among diabetic and hypertensive outpatients in two Hong Kong public hospitals. Participants were randomly assigned to an intervention group, supplied with a tablet-based TSN app prototype, or to a conventional self-managing control group. Primary indices-hemoglobin A1c, systolic blood pressure, and diastolic blood pressure-and secondary indices were measured at baseline and at 8, 12, 16, and 24 weeks after initiation, after which the data were applied to test TSN effectiveness and safety.
RESULTS: A total of 299 participating patients were randomized to the intervention group (n=151) or the control group (n=148). Statistically significant outcomes that directly indicated TSN effectiveness in terms of hemoglobin 1c were found in both groups but not with regard to systolic and diastolic blood pressure. These findings also offered indirect empirical support for TSN safety. Statistically significant comparative changes in these primary indices were not observed between the groups but were suggestive of an operational calibration of TSN technology augmentation. Statistically significant changes in secondary indices were obtained in one or both groups, but not between the groups.
CONCLUSIONS: The RCT's strong behavioral basis, as well as the importance of safety and effectiveness when complex chronic illness is proximately self-managed by layperson patients, prompted the formulation of the empirical joint hypothesis that TSN would improve patient self-care while satisfying the condition of patient self-safety. Statistical and decision analysis applied to the experimental outcomes offered support for this hypothesis. Policy relevance of the research is demonstrated by the derivation of a data-grounded operational calibration of TSN technology augmentation with ready application to health care management. TRIAL REGISTRATION: ClinicalTrials.gov NCT02799953; https://clinicaltrials.gov/ct2/show/NCT02799953. ©Calvin Kalun Or, Kaifeng Liu, Mike K P So, Bernard Cheung, Loretta Y C Yam, Agnes Tiwari, Yuen Fun Emmy Lau, Tracy Lau, Pui Sze Grace Hui, Hop Chun Cheng, Joseph Tan, Michael Tow Cheung. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.03.2020.

Entities:  

Keywords:  complex chronic disease; diabetes; eHealth; hypertension; patient safety; self-care; technological surrogate nursing

Year:  2020        PMID: 32217498     DOI: 10.2196/16769

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  9 in total

Review 1.  Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: A systematic review and meta-analysis of randomized controlled trials.

Authors:  Tianrong Chen; Calvin Kalun Or; Jiayin Chen
Journal:  J Am Med Inform Assoc       Date:  2021-02-15       Impact factor: 4.497

2.  Positive effect of cognitive-behavioral intervention combined with integrated health care on patients with type 2 diabetes.

Authors:  Wei Jin; Qiumin Wu; Zhiwei He; Yilan Fu
Journal:  Am J Transl Res       Date:  2022-06-15       Impact factor: 3.940

Review 3.  From conventional healthcare to e-health: Social and spatial transformation. Using a comparison between Hong Kong and Mainland China.

Authors:  Carine Milcent
Journal:  J Clin Transl Res       Date:  2021-09-29

4.  Social Media-Delivered Patient Education to Enhance Self-management and Attitudes of Patients with Type 2 Diabetes During the COVID-19 Pandemic: Randomized Controlled Trial.

Authors:  Cheng Man Leong; Ting-I Lee; Yu-Mei Chien; Li-Na Kuo; Yu-Feng Kuo; Hsiang-Yin Chen
Journal:  J Med Internet Res       Date:  2022-03-23       Impact factor: 5.428

5.  The Nursing Effect of Individualized Management on Patients With Diabetes Mellitus Type 2 and Hypertension.

Authors:  Ran Li; Weiwei Xu; Ping Yang; Lian Tan; Zhiyu Ling; Xiuni Gan
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-17       Impact factor: 5.555

6.  Effects of Feedback From Self-Monitoring Devices on Lifestyle Changes in Workers with Diabetes: 3-Month Randomized Controlled Pilot Trial.

Authors:  Tomohisa Nagata; Sona-Sanae Aoyagi; Minekazu Takahashi; Masako Nagata; Koji Mori
Journal:  JMIR Form Res       Date:  2022-08-09

Review 7.  Effectiveness of Using Virtual Reality-Supported Exercise Therapy for Upper Extremity Motor Rehabilitation in Patients With Stroke: Systematic Review and Meta-analysis of Randomized Controlled Trials.

Authors:  Jiayin Chen; Calvin Kalun Or; Tianrong Chen
Journal:  J Med Internet Res       Date:  2022-06-20       Impact factor: 7.076

Review 8.  Consumers' Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis.

Authors:  Zhenzhen Xie; Jiayin Chen; Calvin Kalun Or
Journal:  J Med Internet Res       Date:  2022-09-14       Impact factor: 7.076

9.  An Image-Based Mobile Health App for Postdrainage Monitoring: Usability Study.

Authors:  Chien-Hung Liao; Yu-Tung Wu; Chi-Tung Cheng; Chun-Hsiang Ooyang; Shih-Ching Kang; Chih-Yuan Fu; Yu-Pao Hsu; Chi-Hsun Hsieh; Chih-Chi Chen
Journal:  J Med Internet Res       Date:  2020-08-28       Impact factor: 5.428

  9 in total

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