Peisan Lee1, Ju-Chi Liu2, Ming-Hsiung Hsieh3, Wen-Rui Hao4, Yuan-Teng Tseng5, Shuen-Hsin Liu4, Yung-Kuo Lin3, Li-Chin Sung4, Jen-Hung Huang3, Hung-Yu Yang3, Jong-Shiuan Ye3, He-Shun Zheng3, Min-Huei Hsu6, Shabbir Syed-Abdul7, Richard Lu7, Phung-Anh Nguyen7, Usman Iqbal8, Chih-Wei Huang7, Wen-Shan Jian9, Yu-Chuan Jack Li10. 1. Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan; College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan. 2. Division of Cardiology, Department of Internal Medicine, Taipei Medical University, Taipei, Taiwan. 3. Division of Cardiovascular Medicine, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University. 4. Department of Cardiovascular Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan. 5. Department of Cardiovascular Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan; Saint Mary's Hospital Loudong, Loudong, Taiwan. 6. College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan; Office of International Cooperation, Ministry of Health and Welfare, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taiwan. 7. College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taiwan. 8. College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taiwan; Health Informatics Department, COMSATS Institute of Information Technology, Islamabad, Pakistan. 9. College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taiwan; School of Health Care Administration, Taipei Medical University, Taipei, Taiwan; Faculty of Health Sciences, Macau University of Science and Technology, Macau. 10. College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taiwan; Department of Dermatology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: jack@tmu.edu.tw.
Abstract
BACKGROUND: Less than 50% of patients with hypertensive disease manage to maintain their blood pressure (BP) within normal levels. OBJECTIVE: The aim of this study is to evaluate whether cloud BP system integrated with computerized physician order entry (CPOE) can improve BP management as compared with traditional care. METHODS: A randomized controlled trial done on a random sample of 382 adults recruited from 786 patients who had been diagnosed with hypertension and receiving treatment for hypertension in two district hospitals in the north of Taiwan. Physicians had access to cloud BP data from CPOE. Neither patients nor physicians were blinded to group assignment. The study was conducted over a period of seven months. RESULTS: At baseline, the enrollees were 50% male with a mean (SD) age of 58.18 (10.83) years. The mean sitting BP of both arms was no different. The proportion of patients with BP control at two, four and six months was significantly greater in the intervention group than in the control group. The average capture rates of blood pressure in the intervention group were also significantly higher than the control group in all three check-points. CONCLUSIONS: Cloud-based BP system integrated with CPOE at the point of care achieved better BP control compared to traditional care. This system does not require any technical skills and is therefore suitable for every age group. The praise and assurance to the patients from the physicians after reviewing the Cloud BP records positively reinforced both BP measuring and medication adherence behaviors.
RCT Entities:
BACKGROUND: Less than 50% of patients with hypertensive disease manage to maintain their blood pressure (BP) within normal levels. OBJECTIVE: The aim of this study is to evaluate whether cloud BP system integrated with computerized physician order entry (CPOE) can improve BP management as compared with traditional care. METHODS: A randomized controlled trial done on a random sample of 382 adults recruited from 786 patients who had been diagnosed with hypertension and receiving treatment for hypertension in two district hospitals in the north of Taiwan. Physicians had access to cloud BP data from CPOE. Neither patients nor physicians were blinded to group assignment. The study was conducted over a period of seven months. RESULTS: At baseline, the enrollees were 50% male with a mean (SD) age of 58.18 (10.83) years. The mean sitting BP of both arms was no different. The proportion of patients with BP control at two, four and six months was significantly greater in the intervention group than in the control group. The average capture rates of blood pressure in the intervention group were also significantly higher than the control group in all three check-points. CONCLUSIONS: Cloud-based BP system integrated with CPOE at the point of care achieved better BP control compared to traditional care. This system does not require any technical skills and is therefore suitable for every age group. The praise and assurance to the patients from the physicians after reviewing the Cloud BP records positively reinforced both BP measuring and medication adherence behaviors.
Authors: Kaveh G Shojania; Alison Jennings; Alain Mayhew; Craig R Ramsay; Martin P Eccles; Jeremy Grimshaw Journal: Cochrane Database Syst Rev Date: 2009-07-08