CClinicalTrials.gg
Status unknownNCT03209024ADELPHYUpdated Jul 6, 2017

Smartphone App Assisted Home Blood Pressure Monitoring Amongst Hypertensive Patients in Singapore

An interventional study of Handwritten logbook recording of home blood pressure readings and Smartphone assisted wireless recording of home blood pressure readings in Hypertension, sponsored by Duke-NUS Graduate Medical School. Status unknown at 1 site in Singapore. Open to participants aged 40 Years to 70 Years. Per ClinicalTrials.gov, last updated 2017-07-06.

Sponsored by Duke-NUS Graduate Medical School · Not applicable, Interventional, and Other

The sponsor has not verified this record recently (last verified Jul 2017), so the status shown — last known as Active, not recruiting — may be out of date.

From the registry’s dates

  • Registered 3 months after the study started (first participant enrolled Mar 2017, registered Jul 2017).
Phase
Not applicable
Study type
Interventional
Enrollment
80
Allocation
Randomized
Ages
40 Years to 70 Years
Sex
All
01

Study summary

Background: Hypertension is the leading attributable risk factor for cardiovascular disease and death globally. In diagnosing and monitoring hypertensive patient population, home blood pressure monitoring (HBPM) has been shown to be superior to the office-based blood pressure (BP) measurement as a predictor of cardiovascular disease and total mortality. However, the conventional method of HBPM utilizing handwritten BP logbooks has known shortcomings, mainly attributable to inaccuracy and underreporting of data, as well as the failure to bring the logbooks to the regular outpatient appointments. In recent years, the availability of home BP devices with Bluetooth® technology on the market, the increasingly widespread use of smartphones, and the development of mobile applications (apps) that complement Bluetooth® enabled BP monitors have expanded the potential for an accurate log of BP data to be accessible to clinicians. Our study's primary aim is to compare the level of HBPM recording fidelity using smartphone app versus using a handwritten logbook among the multi-ethnic hypertensive patient population seen in a district polyclinic located in Pasir Ris, Singapore. Patient acceptability of the two recording modalities and the association between the home blood pressure recording fidelity and the patients' socio-demographic background, self-care profile, clinical factors, and level of exposure to technology is also assessed as exploratory aims. Our main hypothesis is that the level of fidelity in HBPM recording, defined as the proportion of scheduled number of home blood pressure readings that is successfully recorded, regimen compliant, and made available at the final follow up visit, would be higher for patients who use a smartphone app versus those who maintain a handwritten logbook.

Methods/design: Open, randomized controlled trial of 80 patients seen at Pasir Ris Polyclinic randomized to either intervention or control arm and assessed after a 3-week follow up period

Intervention arm: Participants randomized to intervention arm follow a 3-week HBPM regimen and wirelessly record the BP readings onto a smartphone app using Bluetooth® technology.

Control arm: Participants randomized to control arm follow a 3-week HBPM regimen (identical to intervention arm) and manually record the BP readings onto a handwritten logbook.

Participants: A convenience sample of 80 patients visiting the study polyclinic was obtained during the recruitment period (15 Mar 2017 - 15 June 2017).

Outcomes: A trained outcomes assessor will assess each participant's home BP record brought to the final follow up visit at 3 weeks post-randomization. The primary outcome will be HBPM recording fidelity, defined as the proportion of scheduled number of home blood pressure readings that is successfully recorded, regimen compliant, and made available at the final follow up visit. The participants' level of discomfort during the study, their willingness to incorporate into their healthcare management the modality of HBPM to which they were assigned, and their overall impression on their study participation will be assessed by a participant acceptability questionnaire.

02

Conditions studied

  • Hypertension

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Keywords

  • hypertension
  • home blood pressure monitoring
  • self blood pressure monitoring
  • telemedicine
  • health apps
  • informatics
  • data collection
  • personal health records
  • smartphone
  • self care
  • blood pressure monitors
03

In context

Hypertension

6,689 studies on the registry are indexed under Hypertension; 965 are open to participants now.

This study's enrollment of 80 is below the median of 90 across 4,995 interventional studies indexed under Hypertension.

Browse Hypertension studies →

Lead sponsor

Duke-NUS Graduate Medical School is the lead sponsor of 62 studies on the registry; 6 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
40 Years to 70 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Singaporean citizen or permanent resident
  • Able to communicate in English
  • Diagnosis of essential hypertension and on at least one antihypertensive medical therapy
  • Between 40-70 years of age
  • Owns a smartphone compatible with the study
  • Has been visiting the study polyclinic for at least 1 year

Exclusion criteria

Exclusion Criteria:

  • Known cardiac arrhythmia
  • Known end stage renal disease
  • Known cancer patient
  • Known history of stroke
  • Known history of myocardial infarct
  • Physical or mental disability that would prevent one's own measurement of home BP (e.g. visual impairment, dementia)
  • Maximal arm circumference exceeding BP cuff size
  • Anticipation of extensive travel overseas during study period
  • Occupation requires night shift
  • Participating in other clinical trials
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Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
80 participants (actual)

Study arms

  • Other
    Control

    Participants complete a 3-week home blood pressure monitoring regimen using a handwritten logbook to record all blood pressure readings.

    Other: Handwritten logbook recording of home blood pressure readings

  • Experimental
    Intervention

    Participants complete a 3-week home blood pressure monitoring regimen using a smartphone app and Bluetooth® technology to wirelessly record all blood pressure readings.

    Device: Smartphone assisted wireless recording of home blood pressure readings

Interventions

  • OtherHandwritten logbook recording of home blood pressure readings

    Participants use a handwritten logbook to record the details of their home blood pressure measurements, including systolic blood pressure, diastolic blood pressure, date, and time.

  • DeviceSmartphone assisted wireless recording of home blood pressure readings

    Participants use a smartphone app and Bluetooth® technology to wirelessly record the details of their home blood pressure measurements, including systolic blood pressure, diastolic blood pressure, date, and time.

06

What researchers measure

Primary outcomes

  1. Home Blood Pressure Recording Fidelity within each study arm

    The proportion of scheduled number of home blood pressure readings that is successfully recorded, regimen compliant, and made available at the final follow up visit.

    Time frame: Baseline visit to 3 weeks post randomization

Secondary outcomes

  1. The association of participants' age with home blood pressure recording fidelity within each study arm

    regression coefficient p-value \< 0.05 is considered to be statistically significant

    Time frame: Baseline visit to 3 weeks post randomization

  2. The association of participants' highest level of education with home blood pressure recording fidelity within each study arm

    regression coefficient p-value \< 0.05 is considered to be statistically significant

    Time frame: Baseline visit to 3 weeks post randomization

  3. The association of participants' years of smartphone use with home blood pressure recording fidelity within each study arm

    regression coefficient p-value \< 0.05 is considered to be statistically significant

    Time frame: Baseline visit to 3 weeks post randomization

Other outcomes

  1. Participant Acceptability of the home blood pressure recording modality within each study arm

    A trained outcomes assessor administers the Participant Acceptability Questionnaire to assess the participants' level of discomfort during the study, their willingness to incorporate into their healthcare management the modality of HBPM to which they were assigned, and their overall impression on their study participation.

    Time frame: Baseline visit to 3 weeks post randomization

07

Study locations

1 site
  • SingHealth Polyclinics - Pasir Ris
    Singapore, 519457, Singapore
08

References and documents

Publications

  • Lawes CM, Vander Hoorn S, Rodgers A; International Society of Hypertension. Global burden of blood-pressure-related disease, 2001. Lancet. 2008 May 3;371(9623):1513-8. doi: 10.1016/S0140-6736(08)60655-8. PubMed 18456100 ↗
  • Niiranen TJ, Hanninen MR, Johansson J, Reunanen A, Jula AM. Home-measured blood pressure is a stronger predictor of cardiovascular risk than office blood pressure: the Finn-Home study. Hypertension. 2010 Jun;55(6):1346-51. doi: 10.1161/HYPERTENSIONAHA.109.149336. Epub 2010 Apr 12. PubMed 20385970 ↗
  • Mengden T, Hernandez Medina RM, Beltran B, Alvarez E, Kraft K, Vetter H. Reliability of reporting self-measured blood pressure values by hypertensive patients. Am J Hypertens. 1998 Dec;11(12):1413-7. doi: 10.1016/s0895-7061(98)00241-6. PubMed 9880121 ↗
  • Stergiou GS, Baibas NM, Gantzarou AP, Skeva II, Kalkana CB, Roussias LG, Mountokalakis TD. Reproducibility of home, ambulatory, and clinic blood pressure: implications for the design of trials for the assessment of antihypertensive drug efficacy. Am J Hypertens. 2002 Feb;15(2 Pt 1):101-4. doi: 10.1016/s0895-7061(01)02324-x. PubMed 11863243 ↗
  • Ohkubo T, Asayama K, Kikuya M, Metoki H, Hoshi H, Hashimoto J, Totsune K, Satoh H, Imai Y; Ohasama Study. How many times should blood pressure be measured at home for better prediction of stroke risk? Ten-year follow-up results from the Ohasama study. J Hypertens. 2004 Jun;22(6):1099-104. doi: 10.1097/00004872-200406000-00009. PubMed 15167443 ↗
  • Chatellier G, Day M, Bobrie G, Menard J. Feasibility study of N-of-1 trials with blood pressure self-monitoring in hypertension. Hypertension. 1995 Feb;25(2):294-301. doi: 10.1161/01.hyp.25.2.294. PubMed 7843782 ↗
  • Tamaki S, Nakamura Y, Teramura M, Sakai H, Takayama T, Okabayashi T, Kawashima T, Horie M. The factors contributing to whether or not hypertensive patients bring their home blood pressure record to the outpatient clinic. Intern Med. 2008;47(18):1561-5. doi: 10.2169/internalmedicine.47.0710. Epub 2008 Sep 16. PubMed 18797113 ↗
  • Han HR, Lee H, Commodore-Mensah Y, Kim M. Development and validation of the Hypertension Self-care Profile: a practical tool to measure hypertension self-care. J Cardiovasc Nurs. 2014 May-Jun;29(3):E11-20. doi: 10.1097/JCN.0b013e3182a3fd46. PubMed 24088621 ↗
  • Wu H, Wang B, Zhu X, Chu G, Zhang Z. A new automatic blood pressure kit auscultates for accurate reading with a smartphone: A diagnostic accuracy study. Medicine (Baltimore). 2016 Aug;95(32):e4538. doi: 10.1097/MD.0000000000004538. PubMed 27512876 ↗
  • Tinetti ME, Han L, Lee DS, McAvay GJ, Peduzzi P, Gross CP, Zhou B, Lin H. Antihypertensive medications and serious fall injuries in a nationally representative sample of older adults. JAMA Intern Med. 2014 Apr;174(4):588-95. doi: 10.1001/jamainternmed.2013.14764. PubMed 24567036 ↗
  • Moon EW, Tan NC, Allen JC, Jafar TH. The Use of Wireless, Smartphone App-Assisted Home Blood Pressure Monitoring Among Hypertensive Patients in Singapore: Pilot Randomized Controlled Trial. JMIR Mhealth Uhealth. 2019 May 28;7(5):e13153. doi: 10.2196/13153. PubMed 30905872 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 6, 2017, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03209024
Lead sponsor
Duke-NUS Graduate Medical School
Collaborators
SingHealth Polyclinics
Responsible party
Professor Tazeen Jafar (Professor, Duke-NUS Graduate Medical School) — Principal investigator
First posted
Jul 6, 2017
Start date
Mar 15, 2017
Primary completion
Jul 31, 2017 (estimated)
Completion
Jul 31, 2017 (estimated)
Last update
Jul 6, 2017

Study contacts

Tazeen Jafar, MD, MPH
principal investigator · Duke-NUS Graduate Medical School

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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