Trial reportJournal of medical Internet research2016
The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial.
Trial report in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 93 papers, 25 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Scripps Wired for Health Monitoring Study
A Coordinated PCP-Cardiologist Telemedicine Model (PCTM) in China's Community Hypertension Care: Study Protocol for a Randomized Controlled Trial
Who cites it
93 citing papers in PubMed, 25 syntheses or guidelines pooled it, 207 citations in OpenAlex.
- Effectiveness of Digital Health Interventions to Improve Self-Care in Patients With Chronic Diseases: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Pooled it
- A systematic review and meta-analysis of digital interventions targeting lifestyle factors in patients with hypertension.Journal of human hypertension · 2025Pooled it
- Self-measurement of blood pressure at home using a cuff device for change in blood pressure levels: systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Pooled it
- Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Pooled it
- Effectiveness of Mobile Health Intervention in Medication Adherence: a Systematic Review and Meta-Analysis.Journal of medical systems · 2025Pooled it
- Effectiveness of telemedicine interventions on blood pressure control and self-management efficacy in hypertensive patients: a systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- Involvement in medication safety behaviors among older people with chronic diseases: systematic review of intervention studies.BMC geriatrics · 2024Pooled it
- Consideration of inequalities in effectiveness trials of mHealth applications - a systematic assessment of studies from an umbrella review.International journal for equity in health · 2024Pooled it
- Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- The Importance of Activating Factors in Physical Activity Interventions for Older Adults Using Information and Communication Technologies: Systematic Review.JMIR mHealth and uHealth · 2023Pooled it
- Effectiveness of Mobile Medical Apps in Ensuring Medication Safety Among Patients With Chronic Diseases: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- Behaviour change techniques in cardiovascular disease smartphone apps to improve physical activity and sedentary behaviour: Systematic review and meta-regression.The international journal of behavioral nutrition and physical activity · 2022Pooled it
- Consumer Devices for Patient-Generated Health Data Using Blood Pressure Monitors for Managing Hypertension: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Effectiveness of Digital Counseling Environments on Anxiety, Depression, and Adherence to Treatment Among Patients Who Are Chronically Ill: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Pooled it
- The Effect of Smartphone App-Based Interventions for Patients With Hypertension: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2020Pooled it
- Impact and efficacy of mobile health intervention in the management of diabetes and hypertension: a systematic review and meta-analysis.BMJ open diabetes research & care · 2020Pooled it
- Improving Patients' Medication Adherence and Outcomes in Nonhospital Settings Through eHealth: Systematic Review of Randomized Controlled Trials.Journal of medical Internet research · 2020Pooled it
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
backgroundActive engagement in the management of hypertension is important in improving self-management behaviors and clinical outcomes. Mobile phone technology using wireless monitoring tools are now widely available to help individuals monitor their blood pressure, but little is known about the conditions under which such technology can effect positive behavior changes or clinical outcomes.
objectiveTo study the influence of wireless self-monitoring program and patient activation measures on health behaviors, medication adherence, and blood pressure levels as well as control of blood pressure in hypertensive patients.
methodsWe examined a subset of 95 hypertensive participants from a 6-month randomized controlled trial designed to determine the utility of a wireless self-monitoring program (n=52 monitoring program, n=43 control), which consisted of a blood pressure monitoring device connected with a mobile phone, reminders for self-monitoring, a Web-based disease management program, and a mobile app for monitoring and education, compared with the control group receiving a standard disease management program. Study participants provided measures of patient activation, health behaviors including smoking, drinking, and exercise, medication adherence, and blood pressure levels. We assessed the influence of wireless self-monitoring as a moderator of the relationship between patient activation and health behaviors, medication adherence, and control of blood pressure.
resultsImprovements in patient activation were associated with improvements in cigarette smoking (beta=-0.46, P<.001) and blood pressure control (beta=0.04, P=.02). This relationship was further strengthened in reducing cigarettes (beta=-0.60, P<.001), alcohol drinking (beta=-0.26, P=.01), and systolic (beta=-0.27, P=.02) and diastolic blood pressure (beta=-0.34, P=.007) at 6 months among individuals participating in the wireless self-monitoring program. No differences were observed with respect to medication adherence.
conclusionsParticipation in a wireless self-monitoring program provides individuals motivated to improve their health management with an added benefit above and beyond that of motivation alone. Hypertensive individuals eager to change health behaviors are excellent candidates for mobile health self-monitoring..
trial registrationClinicalTrials.gov NCT01975428, https://clinicaltrials.gov/ct2/show/NCT01975428 (Archived by WebCite at http://www.webcitation.org/6iSO5OgOG).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.