Remote blood pressure monitoring and behavioral intensification for stroke: A randomized controlled feasibility trial

被引:9
作者
Kim, Beom Joon [1 ,2 ]
Park, Jong-Moo [3 ]
Park, Tai Hwan [4 ]
Kim, Joungsim [1 ,2 ]
Lee, JongShill [5 ]
Lee, Keon-Joo [1 ,2 ]
Lee, JiSung [6 ]
Chae, Jae Eun [7 ]
Thabane, Lehana [8 ,9 ]
Lee, Juneyoung [7 ]
Bae, Hee-Joon [1 ,2 ]
机构
[1] Seoul Natl Univ, Coll Med, Bundang Hosp, Dept Neurol, Seongnam, South Korea
[2] Seoul Natl Univ, Coll Med, Bundang Hosp, Cerebrovasc Ctr, Seongnam, South Korea
[3] Eulji Univ, Nowon Eulji Med Ctr, Dept Neurol, Seoul, South Korea
[4] Seoul Med Ctr, Dept Neurol, Seoul, South Korea
[5] Hanyang Univ, Dept Biomed Engn, Seoul, South Korea
[6] Asan Med Ctr, Clin Res Ctr, Seoul, South Korea
[7] Korea Univ, Coll Med, Dept Biostat, Seoul, South Korea
[8] McMaster Univ, Dept Hlth Res Methods Evidence & Impact, Hamilton, ON, Canada
[9] St Josephs Healthcare Hamilton, Biostat Unit, Hamilton, ON, Canada
来源
PLOS ONE | 2020年 / 15卷 / 03期
关键词
PREVENTION; MANAGEMENT; CARE;
D O I
10.1371/journal.pone.0229483
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Measuring blood pressure (BP) at home and remote monitoring can improve the patient's adherence to BP control and vascular outcomes. This study evaluated the feasibility of a trial regarding the effects of an intensive mobile BP management strategy versus usual care in acute ischemic stroke patients. A feasibility-testing, randomized, open-labeled controlled trial was conducted. Remote BP measurement, data transmission, storage, and centralized monitoring system were organized through a Bluetooth-equipped sphygmomanometer paired to the participants' smartphones. Participants were randomized equally into intensive management (behavioral intensification to measure BP at home by texting, direct telephone call, or breakthrough visit) and control (usual care) groups. The primary feasibility outcomes were: 1) recruitment time for the pre-specified number of participants, 2) retention of participants, 3) frequency of breakthrough visit calls, 4) response to breakthrough visit call, and 5) proportions satisfying BP measurement criteria. Sixty participants were randomly assigned to the intensive management (n = 31) and control (n = 29) groups, of which 57 participants were included in the primary analysis with comparable baseline characteristics. Recruitment time from the first to the last participant was 350 days, and 95% of randomized participants completed the final visit (intensive, 94%; control, 98%). Eight breakthrough visit calls were made to 7 participants (23%), with complete and immediate responses within 3 +/- 4 days. The median of half-day blocks fulfilling the BP measurement criteria per patient were 91% in the intensive group and 83% in the control group (difference, 12.2; 95% confidence interval, 2.2-22.2). No adverse events related to the trial procedures were reported. The intensive monitoring, including remote BP measurement, data transfer, and centralized monitoring system, engaged with behavioral intensification was feasible if the patients complied with the intervention. However, the device utilized would need further improvement prior to a large trial.
引用
收藏
页数:15
相关论文
共 27 条
[1]  
Bluetooth SIG, 2018, BLUET MARK UPD BLUET
[2]   Sample size calculations for pilot randomized trials: a confidence interval approach [J].
Cocks, Kim ;
Torgerson, David J. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2013, 66 (02) :197-201
[3]   Blood Pressure Reduction and Secondary Stroke Prevention: A Systematic Review and Metaregression Analysis of Randomized Clinical Trials [J].
Katsanos, Aristeidis H. ;
Filippatou, Angeliki ;
Manios, Efstathios ;
Deftereos, Spyridon ;
Parissis, John ;
Frogoudaki, Alexandra ;
Vrettou, Agathi-Rosa ;
Ikonomidis, Ignatios ;
Pikilidou, Maria ;
Kargiotis, Odysseas ;
Voumvourakis, Konstantinos ;
Alexandrov, Anne W. ;
Alexandrov, Andrei V. ;
Tsivgoulis, Georgios .
HYPERTENSION, 2017, 69 (01) :171-179
[4]   Case Characteristics, Hyperacute Treatment, and Outcome information from the Clinical Research Center for Stroke-Fifth Division Registry in South Korea [J].
Kim, Beom Joon ;
Park, Jong-Moo ;
Kang, Kyusik ;
Lee, Soo Joo ;
Ko, Youngchai ;
Kim, Jae Guk ;
Cha, Jae-Kwan ;
Kim, Dae-Hyun ;
Nah, Hyun-Wook ;
Han, Moon-Ku ;
Park, Tai Hwan ;
Park, Sang-Soon ;
Lee, Kyung Bok ;
Lee, Jun ;
Hong, Keun-Sik ;
Cho, Yong-Jin ;
Lee, Byung-Chul ;
Yu, Kyung-Ho ;
Oh, Mi-Sun ;
Kim, Dong-Eog ;
Ryu, Wi-Sun ;
Cho, Ki-Hyun ;
Kim, Joon-Tae ;
Choi, Jay Chol ;
Kim, Wook-Joo ;
Shin, Dong-Ick ;
Yeo, Min-Ju ;
Sohn, Sung ;
Hong, Jeong-Ho ;
Lee, Juneyoung ;
Lee, Ji Sung ;
Yoon, Byung-Woo ;
Bae, Hee-Joon .
JOURNAL OF STROKE, 2015, 17 (01) :38-53
[5]   Randomized clinical trial to assess the effectiveness of remote patient monitoring and physician care in reducing office blood pressure [J].
Kim, Yoon-Nyun ;
Shin, Dong Gu ;
Park, Sungha ;
Lee, Chang Hee .
HYPERTENSION RESEARCH, 2015, 38 (07) :491-497
[6]   Trajectory of Cognitive Decline After Incident Stroke [J].
Levine, Deborah A. ;
Galecki, Andrzej T. ;
Langa, Kenneth M. ;
Unverzagt, Frederick W. ;
Kabeto, Mohammed U. ;
Giordani, Bruno ;
Wadley, Virginia G. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2015, 314 (01) :41-51
[7]   Systolic Blood Pressure Trajectories in the Acute Phase and Clinical Outcomes in 2-Year Follow-up Among Patients With Ischemic Stroke [J].
Li, Changwei ;
Zhang, Yonghong ;
Xu, Tan ;
Peng, Hao ;
Wang, Dali ;
Xu, Tian ;
Sun, Yingxian ;
Bu, Xiaoqing ;
Chen, Chung-Shiuan ;
Wang, Aili ;
Wang, Jinchao ;
Li, Qunwei ;
Ju, Zhong ;
Geng, Deqin ;
Zhang, Jintao ;
Chen, Jing ;
He, Jiang .
AMERICAN JOURNAL OF HYPERTENSION, 2019, 32 (03) :317-325
[8]   Novel technology to help understand the context of physical activity and sedentary behaviour [J].
Loveday, Adam ;
Sherar, Lauren B. ;
Sanders, James P. ;
Sanderson, Paul W. ;
Esliger, Dale W. .
PHYSIOLOGICAL MEASUREMENT, 2016, 37 (10) :1834-1851
[9]   Effect of home telehealth care on blood pressure control: A public healthcare centre model [J].
Lu, Ju-Fen ;
Chen, Ching-Min ;
Hsu, Chien-Yeh .
JOURNAL OF TELEMEDICINE AND TELECARE, 2019, 25 (01) :35-45
[10]   The Impact of mHealth Interventions: Systematic Review of Systematic Reviews [J].
Marcolino, Milena Soriano ;
Queiroz Oliveira, Joao Antonio ;
D'Agostino, Marcelo ;
Ribeiro, Antonio Luiz ;
Moreira Alkmim, Maria Beatriz ;
Novillo-Ortiz, David .
JMIR MHEALTH AND UHEALTH, 2018, 6 (01)