ClinicalTrials.gg
Not yet recruitingNCT07879144NADI-MHRUpdated Oct 16, 2026

Digital Nudges to Improve Heart Health Actions After Community Screening in Malaysia (NADI-MyHeartRisk)

An interventional study of Personalised Digital Behavioural Nudges (NADI-MyHeartRisk Enhanced Pathway) in Cardiovascular Diseases and Cardiovascular Risk Factor, sponsored by Cardiovascular Advancement and Research Excellence Institute. Not yet recruiting at 2 sites in Malaysia. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-16.

Sponsored by Cardiovascular Advancement and Research Excellence Institute · Not applicable, Interventional, and Prevention

Updated Oct 16, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
6,588
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

This is a pragmatic, risk-stratified, individually randomized controlled trial testing whether personalised WhatsApp-based digital behavioural nudges can improve completion of cardiovascular preventive actions after community risk screening at NADI centres in Malaysia.

Adults attending participating NADI centres will be screened using the MyHeartRisk web-based cardiovascular risk assessment tool. All screened participants will receive their risk result, standard risk explanation and general heart-health education. Participants classified as high cardiovascular risk will also receive a referral letter advising healthcare provider review.

Participants classified as moderate or high cardiovascular risk will be randomized 1:1 to either a personalised digital nudge arm or a no-nudge control arm. The nudge arm will receive scheduled WhatsApp messages over 90 days, including action prompts, reminders, engagement check-ins and barrier-solving messages. The control arm will receive standard risk feedback and referral-letter generation where indicated, but no scheduled behavioural nudges.

The primary outcome is completion of a risk-appropriate cardiovascular preventive action within 90 days. For moderate-risk participants, this may include completion of blood pressure, glucose or lipid checks, medication review, or healthcare provider review. For high-risk participants, this is attendance at a healthcare provider after receiving the MyHeartRisk referral letter. Low-risk participants will receive standard feedback and may be followed descriptively, but they will not be randomized or included in the primary randomized analysis.

Read the detailed description

Cardiovascular disease remains a major cause of preventable morbidity and mortality. Community-based cardiovascular risk screening can identify individuals at increased risk, but risk awareness alone may not lead to preventive action. This study evaluates whether a personalised digital behavioural-nudge pathway delivered after MyHeartRisk community screening can improve completion of risk-appropriate cardiovascular preventive actions within 90 days.

This is a pragmatic, risk-stratified, individually randomized, 2-group parallel controlled trial nested within routine NADI centre operations across Malaysia. Adults attending participating NADI centres will undergo MyHeartRisk cardiovascular risk screening. MyHeartRisk is a web-based cardiovascular risk assessment and risk communication platform used by trained NADI staff. Participants will be classified as low, moderate/intermediate, or high cardiovascular risk using the Framingham Risk Score-based trial classification.

All screened participants will receive their MyHeartRisk result, standard risk explanation and general heart-health education. Participants classified as high cardiovascular risk will also receive a MyHeartRisk referral letter advising healthcare provider review. Participants classified as low cardiovascular risk will not be randomized and will not contribute to the primary randomized effectiveness analysis. They may be followed descriptively as part of the implementation cohort.

Participants classified as moderate/intermediate or high cardiovascular risk will be randomized after risk classification and standard baseline risk feedback. Randomization will be performed centrally by the MyHeartRisk platform using a computer-generated allocation sequence. Allocation will be 1:1 between the personalised digital nudge arm and the no-nudge control arm. Randomization will be stratified by risk category and, where technically feasible, by NADI centre or region. If centre-level stratification is not feasible because of small numbers per centre, randomization will be stratified by risk category, with NADI centre included as a random effect in the analysis.

The target enrollment for the randomized trial component is 848 moderate/intermediate- or high-risk participants, allocated 1:1 to the personalised digital nudge arm and the no-nudge control arm. This enrollment target refers to the randomized trial population, not the wider NADI screening cohort. The wider NADI programme provides the operational screening pool from which eligible participants are identified. Across 1,098 NADI centres, the minimum operational target is one participant per centre per month over six months, giving 6,588 screened participants. Where feasible, centres may screen up to two participants per month, giving a stretch operational target of 13,176 screened participants. Low-risk participants may be followed descriptively but will not be included in the primary randomized analysis.

Participants in the personalised digital nudge arm will receive standard baseline care plus automated, risk-specific WhatsApp messages over 90 days. The intervention is grounded in the Behaviour Change Wheel and COM-B model. Messages are designed to support psychological capability through clear risk explanation and actionable next steps, opportunity through scheduled prompts and referral support, and motivation through engagement check-ins, reminders, action-planning prompts and barrier-solving messages. Active nudge contacts are scheduled in four structured cycles at Day 3, Day 5, Day 7, Day 14, Day 16, Day 18, Day 45, Day 47, Day 49, Day 60, Day 62, and Day 64.

Participants in the no-nudge control arm will receive standard baseline care only. This includes MyHeartRisk risk feedback, standard risk explanation, general heart-health education and referral letter generation for high-risk participants. They will not receive scheduled behavioural nudges, personalised prompts, action-planning messages, reminder messages or barrier-check messages during the 90-day follow-up period. No clinically indicated advice, referral or follow-up normally available outside the study is withheld from any participant in either arm, and participants may seek care at any time.

Both arms will receive neutral, standardized outcome-assessment messages at Day 30 and Day 90. These assessment messages are used for data collection only and will not contain behavioural advice, referral reminders, encouragement or personalised prompts. This is intended to reduce measurement bias and preserve the no-nudge comparison.

The primary outcome is completion of a prespecified, risk-appropriate cardiovascular preventive action within 90 days among randomized moderate/intermediate- and high-risk participants. For moderate/intermediate-risk participants, this includes completion of cardiovascular preventive health checks, such as blood pressure, glucose or lipid assessment, medication review, or healthcare provider review. For high-risk participants, this is attendance at a healthcare provider within 90 days after MyHeartRisk screening and referral letter generation. Only actions that take place after the MyHeartRisk screening visit count; measurements taken at the screening visit itself are excluded.

Outcome completion will be assessed using a pragmatic verification hierarchy that includes documentary evidence, healthcare provider or study-staff confirmation, participant self-report with supporting details, and participant self-report without supporting details. Submitting documentary evidence is optional, only the date, facility and action type are recorded, and declining does not affect participation. The primary analysis will follow the intention-to-treat principle and will use mixed-effects regression models accounting for centre-level clustering.

02

Conditions studied

  • Cardiovascular Diseases
  • Cardiovascular Risk Factor

Keywords

  • behavioural nudges
  • digital health
  • WhatsApp
  • community screening
  • cardiovascular risk
  • prevention
  • implementation science
  • referral completion
  • Malaysia
  • NADI
  • MyHeartRisk
  • pragmatic randomised trial
  • Health
  • Hypertension
  • cardiovascular disease
  • diabetes mellitus
  • Dyslipidemias
03

In context

Cardiovascular Diseases

5,025 studies on the registry are indexed under Cardiovascular Diseases; 930 are open to participants now.

This study's planned enrollment of 6,588 is above the median of 100 across 2,801 interventional studies indexed under Cardiovascular Diseases.

Browse Cardiovascular Diseases studies →

Lead sponsor

This is the only study on the registry with Cardiovascular Advancement and Research Excellence Institute as lead sponsor.

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

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Malaysian citizens
  • Aged 18 years or older
  • Classified as moderate (≥ 10% to \< 20%) or high (≥ 20%) cardiovascular risk by the Framingham Risk Score within the MyHeartRisk platform.
  • Participants classified as high risk without calculation of an FRS, within the high-risk stratum:

    • established atherosclerotic cardiovascular disease
    • diabetes mellitus with proteinuria or with a major risk factor such as smoking, hypertension or dyslipidaemia
    • ≥Stage 4 CKD
  • Able to provide their own or consenting carer/next-of-kin mobile number for follow-up
  • Has a WhatsApp-capable mobile phone (own or consenting carer/next of kin)
  • Willing to be contacted at Day 30 and Day 90 for study-related follow-up and outcome assessment.
  • Able to provide minimum required cardiovascular risk data, including age, sex, blood pressure, and smoking status
  • Able to provide informed consent in Bahasa Malaysia or English

Exclusion criteria

Exclusion Criteria:

  • Unable to provide minimum required data fields for MyHeartRisk calculation
  • No reliable contact number available for any form of follow-up
  • Acutely unwell at time of screening and requires immediate medical attention (these individuals should be directed to emergency services without delay).
  • Unable to understand study procedures and behavioural nudges in Bahasa Malaysia or English
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
6,588 participants (estimated)

Study arms

  • Experimental
    Personalised Digital Nudge Arm

    Participants in this arm will receive standard MyHeartRisk baseline care plus personalised WhatsApp-based digital behavioural nudges over 90 days. Standard baseline care includes MyHeartRisk risk feedback, standard risk explanation, general heart-health education and, for high-risk participants, a MyHeartRisk referral letter advising healthcare provider review. The personalised nudge intervention includes automated, risk-specific action prompts, reminders, engagement check-ins, action-planning prompts and barrier-solving messages. Active nudge contacts are scheduled in four structured cycles at Day 3, Day 5, Day 7; Day 14, Day 16, Day 18; Day 30, Day 45, Day 47, Day 49, Day 60, Day 62, Day 64 and Day 90. Neutral outcome-assessment messages are sent at Day 30 and Day 90; these are not nudge contacts.

    Behavioral: Personalised Digital Behavioural Nudges (NADI-MyHeartRisk Enhanced Pathway)

  • No intervention
    No-Nudge (Control) Arm

    Participants in this arm will receive standard MyHeartRisk baseline care only. Standard baseline care includes MyHeartRisk risk feedback, standard risk explanation, general heart-health education and, for high-risk participants, a MyHeartRisk referral letter advising healthcare provider review. Participants in the no-nudge control arm will not receive scheduled behavioural nudges, personalised prompts, action-planning messages, reminder messages or barrier-check messages during the 90-day follow-up period. Neutral outcome-assessment messages will be sent at Day 30 and Day 90 for data collection only. These messages will be identical in purpose to those sent to the personalised digital nudge arm and will not contain behavioural advice, referral reminders, encouragement or personalised prompts. Control participants are not deprived of any clinically indicated advice, referral or follow-up, and may seek care at any time.

Interventions

  • BehavioralPersonalised Digital Behavioural Nudges (NADI-MyHeartRisk Enhanced Pathway)

    A WhatsApp-delivered sequence of personalised, risk-stratified behavioural messages (action prompts, reminders, barrier-solving and engagement check-ins) developed using the Behaviour Change Wheel and COM-B model, delivered over 90 days following cardiovascular risk screening.

06

What researchers measure

Primary outcomes

  1. Number of Participants Completing a Risk-Appropriate Cardiovascular Preventive Action by Day 90

    This is a single binary participant-level outcome (completed/not completed). Unit of measure: number of participants. No clinical measurement values are analysed, only completion of a qualifying healthcare-linked action is recorded. A participant is counted once if ≥1 qualifying action occurs within 90 days of screening, otherwise, they are not completed. Moderate-risk actions include BP, glucose/HbA1c or lipid assessment, cardiovascular prevention review, or medication review by a healthcare provider. High-risk completion requires attendance for cardiovascular risk assessment or follow-up after referral-letter generation. Both strata are combined into one outcome; baseline risk stratum is a covariate, not a separate outcome. Completion is verified through documentary evidence (Level 1), provider/clinic/staff confirmation (Level 2), or self-report with supporting details (Level 3). Level 4 self-report without supporting details. The primary analysis counts Levels 1 to 3 as completed.

    Time frame: Within 90 days after MyHeartRisk screening

Secondary outcomes

  1. Referral completion among high-risk participants

    Referral completion is defined as attendance at an eligible healthcare provider within 90 days of MyHeartRisk screening and referral-letter generation for cardiovascular risk assessment or follow-up. Medication initiation or a new diagnosis is not required for completion.

    Time frame: Within 90 days after MyHeartRisk screening

  2. Preventive health-check completion among moderate-risk participants

    This is a single binary participant-level outcome (completed/not completed). Unit of measure: number of participants. Unit of measure: number of participants. No clinical measurement values are analysed for this outcome. Blood pressure, blood glucose, HbA1c and lipid results are not reported as values; only whether a qualifying healthcare-linked action took place. A participant is counted as completed if at least one qualifying action occurred within 90 days of MyHeartRisk screening, and as not completed if none occurred. Where a participant completes more than one qualifying action, the participant is counted once. Qualifying actions are defined by the participant's baseline risk stratum. Moderate risk: at least one of blood pressure assessment, blood glucose assessment (fasting, random, or HbA1c), lipid assessment, healthcare provider review for cardiovascular risk assessment or prevention, or medication review by a healthcare provider for a cardiovascular risk-related indication.

    Time frame: Within 90 days after MyHeartRisk screening

  3. Completion of the primary outcome by Day 30

    Day-30 primary-outcome completion is defined using the same prespecified risk-appropriate criteria as the primary outcome, but assessed by Day 30, at least one qualifying preventive action for moderate-risk participants or healthcare-provider review after referral for high-risk participants. Completion is classified as yes/no based on the action occurring within 30 days of screening.

    Time frame: Within 30 days after MyHeartRisk screening

  4. Time from screening to first completed risk-appropriate preventive action

    Time to action is the number of days from the MyHeartRisk screening date to the participant's first completed qualifying risk-appropriate preventive action. Where more than one qualifying action occurs, only the first is used for this time-to-action measure.

    Time frame: Up to 90 days after MyHeartRisk screening

  5. Appointment booking rate by Day 30

    Percentage of randomised participants who booked an appointment for the relevant healthcare review or preventive action by Day 30, regardless of whether the appointment has been attended. Unit of measure: percentage of participants.

    Time frame: Within 30 days after MyHeartRisk screening

  6. Appointment booking rate by Day 90

    Percentage of randomised participants who booked an appointment for the relevant healthcare review or preventive action by Day 90, regardless of whether the appointment has been attended. An appointment scheduled after Day 90 is recorded as a booking but does not count as Day-90 action completion. Unit of measure: percentage of participants

    Time frame: Within 90 days after MyHeartRisk screening

  7. Nudge message delivery rate

    Percentage of scheduled nudge messages successfully delivered to participants in the personalised digital nudge arm, derived from messaging-platform delivery records. Denominator: all scheduled nudge messages. Unit of measure: percentage of messages.

    Time frame: Day 3 to Day 64 (active nudge period)

  8. Nudge message read rate

    Percentage of delivered nudge messages recorded by the messaging platform as opened or read. Denominator: all delivered nudge messages. Unit of measure: percentage of messages.

    Time frame: Day 3 to Day 64 (active nudge period)

  9. Nudge message reply rate

    Percentage of delivered nudge messages that prompted a participant reply. Denominator: all delivered nudge messages. Unit of measure: percentage of messages.

    Time frame: Day 3 to Day 64 (active nudge period)

  10. Nudge message click-through rate

    Percentage of delivered nudge messages containing a link in which the link was selected by the participant. Denominator: delivered nudge messages containing a link. Unit of measure: percentage of messages.

    Time frame: Day 3 to Day 64 (active nudge period)

  11. Nudge message opt-out rate

    Percentage of participants in the personalised digital nudge arm who opted out of nudge messages by replying STOP or using another approved opt-out mechanism. Denominator: participants randomised to the nudge arm. Unit of measure: percentage of participants.

    Time frame: Within 90 days after MyHeartRisk screening

  12. Participant-reported barriers to action

    Participant-reported barriers are reasons identified by participants for not completing or delaying the recommended preventive action, such as uncertainty about where to go, lack of time, transport difficulties, worry, or other reported obstacles. Barriers are captured through follow-up assessment and nudge barrier-check responses.

    Time frame: At Day 30 and Day 90 assessment

  13. Participant-reported satisfaction with the programme

    Participant-reported rating of how helpful the NADI-MyHeartRisk programme and messages were, collected in the Day 90 final assessment as a single categorical item with response options Helpful, Neutral, or Not Helpful. Unit of measure: number of participants in each response category.

    Time frame: At Day 90

  14. System Usability Scale score

    Perceived usability of the NADI-MyHeartRisk digital pathway, measured using the System Usability Scale. The System Usability Scale (SUS) is a 10-item questionnaire, item responses are summed and transformed to a total score ranging from 0 to 100. Higher scores indicate better perceived usability, 0 is the worst possible score and 100 the best. Unit of measure: units on a scale.

    Time frame: At Day 90

  15. Self-reported lifestyle action

    Number of participants reporting adoption of at least one recommended healthy lifestyle behaviour, including increased physical activity, healthier dietary practices, improved sleep, increased hydration, weight-management activity, or smoking cessation, by Day 90. Reported as a single binary composite. Unit of measure: number of participants.

    Time frame: By Day 90

  16. Medication review, initiation, or adjustment after healthcare provider review

    Number of participants with at least one medication-related action, including medication review, initiation of a new medication, or adjustment of an existing medication, occurring after the MyHeartRisk screening date and linked to a healthcare-provider review. Medication changes are counted only when associated with provider review rather than self-directed medication use. Unit of measure: number of participants.

    Time frame: Within 90 days after MyHeartRisk screening

  17. Safety escalation, including red-flag symptom reporting or urgent-care advice

    Safety escalation is defined as a reported red-flag symptom or other safety event that triggers urgent-care advice or study escalation, including inappropriate message delivery, complaints, or relevant protocol/safety events. Red flags include symptoms such as chest pain, severe breathlessness, fainting/collapse, sudden weakness, facial droop, slurred speech, or severe palpitations with dizziness.

    Time frame: Continuously over the 90-day study period

07

Study locations

2 sites
  • National Information Dissemination Centre (NADI) and Malaysian Communications and Multimedia Commission (MCMC)
    Cyberjaya, Selangor 63000, Malaysia
  • Cardiovascular Advancement Research Excellence Institute (CARE Institute)
    Sungai Buloh, Selangor 47000, Malaysia
    • Suraya Abdul-Razak · Contact · suraya617@uitm.edu.my · +60123331912
    • Sazzli Shahlan Kasim · Principal investigator
    • Suraya Abdul-Razak · Sub investigator
    • Sorayya Malek · Sub investigator
    • Husnir Nashuha Abdul Halim · Sub investigator
    • Nashuha Omar · Sub investigator
    • Johanes Dedi Kanchau · Sub investigator
08

References and documents

Publications

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  • Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007 May;39(2):175-91. doi: 10.3758/bf03193146. PubMed 17695343 ↗
  • Daud MH, Ramli AS, Abdul-Razak S, Isa MR, Yusoff FH, Baharudin N, Mohamed-Yassin MS, Badlishah-Sham SF, Nikmat AW, Jamil N, Mohd-Nawawi H. The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: study protocol for a pilot randomised controlled trial. Trials. 2020 Apr 5;21(1):311. doi: 10.1186/s13063-020-04237-x. PubMed 32248825 ↗
  • Arno A, Thomas S. The efficacy of nudge theory strategies in influencing adult dietary behaviour: a systematic review and meta-analysis. BMC Public Health. 2016 Jul 30;16:676. doi: 10.1186/s12889-016-3272-x. PubMed 27475752 ↗
  • Allen LA, Venechuk G, McIlvennan CK, Page RL 2nd, Knoepke CE, Helmkamp LJ, Khazanie P, Peterson PN, Pierce K, Harger G, Thompson JS, Dow TJ, Richards L, Huang J, Strader JR, Trinkley KE, Kao DP, Magid DJ, Buttrick PM, Matlock DD. An Electronically Delivered Patient-Activation Tool for Intensification of Medications for Chronic Heart Failure With Reduced Ejection Fraction: The EPIC-HF Trial. Circulation. 2021 Feb 2;143(5):427-437. doi: 10.1161/CIRCULATIONAHA.120.051863. Epub 2020 Nov 17. PubMed 33201741 ↗
  • Schulz KF, Grimes DA. Sample size calculations in randomised trials: mandatory and mystical. Lancet. 2005 Apr 9-15;365(9467):1348-53. doi: 10.1016/S0140-6736(05)61034-3. PubMed 15823387 ↗
  • Schulz KF, Grimes DA. Sample size slippages in randomised trials: exclusions and the lost and wayward. Lancet. 2002 Mar 2;359(9308):781-5. doi: 10.1016/S0140-6736(02)07882-0. PubMed 11888606 ↗
  • Shariful Islam SM, Farmer AJ, Bobrow K, Maddison R, Whittaker R, Pfaeffli Dale LA, Lechner A, Lear S, Eapen Z, Niessen LW, Santo K, Stepien S, Redfern J, Rodgers A, Chow CK. Mobile phone text-messaging interventions aimed to prevent cardiovascular diseases (Text2PreventCVD): systematic review and individual patient data meta-analysis. Open Heart. 2019 Oct 9;6(2):e001017. doi: 10.1136/openhrt-2019-001017. eCollection 2019. PubMed 31673381 ↗
  • Rutterford C, Copas A, Eldridge S. Methods for sample size determination in cluster randomized trials. Int J Epidemiol. 2015 Jun;44(3):1051-67. doi: 10.1093/ije/dyv113. Epub 2015 Jul 13. PubMed 26174515 ↗
  • Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, Griffey R, Hensley M. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011 Mar;38(2):65-76. doi: 10.1007/s10488-010-0319-7. PubMed 20957426 ↗
  • Patel MS, Volpp KG, Asch DA. Nudge Units to Improve the Delivery of Health Care. N Engl J Med. 2018 Jan 18;378(3):214-216. doi: 10.1056/NEJMp1712984. No abstract available. PubMed 29342387 ↗
  • Milkman KL, Patel MS, Gandhi L, Graci HN, Gromet DM, Ho H, Kay JS, Lee TW, Akinola M, Beshears J, Bogard JE, Buttenheim A, Chabris CF, Chapman GB, Choi JJ, Dai H, Fox CR, Goren A, Hilchey MD, Hmurovic J, John LK, Karlan D, Kim M, Laibson D, Lamberton C, Madrian BC, Meyer MN, Modanu M, Nam J, Rogers T, Rondina R, Saccardo S, Shermohammed M, Soman D, Sparks J, Warren C, Weber M, Berman R, Evans CN, Snider CK, Tsukayama E, Van den Bulte C, Volpp KG, Duckworth AL. A megastudy of text-based nudges encouraging patients to get vaccinated at an upcoming doctor's appointment. Proc Natl Acad Sci U S A. 2021 May 18;118(20):e2101165118. doi: 10.1073/pnas.2101165118. PubMed 33926993 ↗
  • Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011 Apr 23;6:42. doi: 10.1186/1748-5908-6-42. PubMed 21513547 ↗
  • Loudon K, Treweek S, Sullivan F, Donnan P, Thorpe KE, Zwarenstein M. The PRECIS-2 tool: designing trials that are fit for purpose. BMJ. 2015 May 8;350:h2147. doi: 10.1136/bmj.h2147. No abstract available. PubMed 25956159 ↗
  • Lloyd-Jones DM, Braun LT, Ndumele CE, Smith SC Jr, Sperling LS, Virani SS, Blumenthal RS. Use of Risk Assessment Tools to Guide Decision-Making in the Primary Prevention of Atherosclerotic Cardiovascular Disease: A Special Report From the American Heart Association and American College of Cardiology. Circulation. 2019 Jun 18;139(25):e1162-e1177. doi: 10.1161/CIR.0000000000000638. Epub 2018 Nov 10. PubMed 30586766 ↗
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  • Kasim S, Amir Rudin PNF, Malek S, Ibrahim N, Kiew XN, Nasir NM, Ibrahim KS, Raja Shariff RE. Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population. PLoS One. 2025 Jun 17;20(6):e0323949. doi: 10.1371/journal.pone.0323949. eCollection 2025. PubMed 40526616 ↗
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  • Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, Patel V, Haines A. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10(1):e1001362. doi: 10.1371/journal.pmed.1001362. Epub 2013 Jan 15. PubMed 23349621 ↗

Individual participant data

Plan to share: No

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Oct 2026; primary completion for Jul 2027, 8 months later.

Of 1,032 non-industry interventional studies with no phase under Cardiovascular Diseases, half reached primary completion within 25 months of starting (the median), counting those still running; a quarter within 12 and three quarters within 48. This study's planned 8 months is below that.

Counting every sponsor, half of 1,148 studies reached it within 26 months; a quarter within 13 and three quarters within 49.

Cardiovascular Diseases covers many different conditions, not one, so the studies compared here vary widely. Read these figures as a rough guide.

How these figures are worked out, and which studies are left out of them.

Registered
Sep 24, 2026
First posted
Oct 16, 2026
StartEst.
Oct 20, 2026
Primary completionEst.
Jul 19, 2027
CompletionEst.
Sep 30, 2027
Last update
Oct 16, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Registered
First appeared on the registry. No changes since
Oct 16, 2026
Show all 1 update
  1. Oct 16, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07879144
Lead sponsor
Cardiovascular Advancement and Research Excellence Institute
Collaborators
National Information Dissemination Centre (NADI), Malaysian Communications and Multimedia Commission (MCMC)
Responsible party
SAZZLI SHAHLAN KASIM (Professor of Medicine at Universiti Teknologi MARA (UiTM), Malaysia, Cardiovascular Advancement and Research Excellence Institute) — Principal investigator
First posted
Oct 16, 2026
Start date
Oct 20, 2026 (estimated)
Primary completion
Jul 19, 2027 (estimated)
Completion
Sep 30, 2027 (estimated)
Last update
Oct 16, 2026

Study contacts

Sazzli S Kasim
Contact
sazzlishahlan@uitm.edu.my
+603-61265000
Sazzli S Kasim
principal investigator · Cardiovascular Advancement and Research Excellence Institute (CARE Institute)

Oversight

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

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