NCT06068309

Brief Summary

The goal of this clinical trial is to study the impact of a medication adherence app, CareAide, in adult population diagnosed with chronic diseases in Malaysian population. The main question\[s\] it aims to answer are:

  1. 1.Can CareAide make people take their medications better and improve their health?
  2. 2.Can CareAide improve the health of people with chronic diseases?
  3. 3.Does using CareAide make people's lives better?
  4. 4.Can CareAide save money when managing chronic diseases?
  5. 5.How do people feel about using CareAide?

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
900

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jul 2022

Typical duration for not_applicable

Geographic Reach
1 country

3 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 30, 2022

Completed
1.1 years until next milestone

First Submitted

Initial submission to the registry

September 19, 2023

Completed
16 days until next milestone

First Posted

Study publicly available on registry

October 5, 2023

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2024

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

September 6, 2024

Completed
Last Updated

September 19, 2024

Status Verified

September 1, 2024

Enrollment Period

1.9 years

First QC Date

September 19, 2023

Last Update Submit

September 16, 2024

Conditions

Keywords

randomized controlled trialmobile health appdigital healthmedication adherence appPatient perceptionCareAideclinical outcomesMalaysiaadherence

Outcome Measures

Primary Outcomes (2)

  • Morisky Medication Adherence Scale (MMAS) Score

    Adherence measured by the 8-item Morisky Medication Adherence Scale (MMAS-8) where a scoring is as defined as, Low Adherence (0\< 6); Medium Adherence (6 to \<8); High Adherence (= 8)

    6 Months

  • Proportion of days covered (PDC)

    Adherence is measured by Proportion of days covered (PDC) which measures the proportion of days in which a subject has access to their medication over a specified period of time (POI). It is calculated as the (sum of days covered in the POI) ÷ (number of days in the POI) × 100, Scoring is defined as, High adherence (\>80%); Medium Adherence (50%-80%); Poor adherence (\<50%)

    6 Months

Secondary Outcomes (12)

  • Clinical Parameter of Hypertension: Blood Pressure

    6 Months

  • Clinical Parameter of Heart Failure: Ejection fraction

    6 Months

  • Clinical Parameter of Diabetes: Glycated hemoglobin

    6 Months

  • Clinical Parameter of Diabetes: Glucose levels

    6 Months

  • Clinical Parameter of Asthma: Forced Expiratory Volume in 1 second

    6 Months

  • +7 more secondary outcomes

Study Arms (2)

CareAide Interventional Group

EXPERIMENTAL

Participants allocated to the Interventional group (IG) uses the CareAide® app on their smartphones in addition to prescribed usual therapeutic care.

Other: CareAide App Usage

Control Group

NO INTERVENTION

Participants allocated to the Control group (CG) receives prescibed usual therapeutic care

Interventions

The study participant uses the CareAide app in addition to prescribed usual therapeutic care

CareAide Interventional Group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age: 18 years and above
  • Diagnosed with selected non-communicable diseases (NCDs): hypertension, diabetes mellitus, heart failure or asthma for at least 6 months
  • Prescription generated from one of the following specialty clinics: Medical, Cardiology, Diabetes Mellitus or Asthma clinics of study site.
  • Medications are prescribed in previous 3 months and refill at the point of recruitment
  • Morisky Medication Adherence Scale (MMAS) score \< 6 (i.e. Low adherence)
  • More than three medications daily or two medications with multiple dosing intervals.
  • One or more hospital admissions in the prior 24 months
  • Owns a smartphone

You may not qualify if:

  • Medications prescribed from other institution providers
  • Existing mobile health app or medication reminder app user
  • Pregnant
  • Cognitively impaired
  • Prisoners
  • Bed-bound
  • Severe diseases/comorbidities - terminal cancer, psychiatry, etc

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Hospital Pulau Pinang

George Town, Pulau Pinang, 10450, Malaysia

Location

University Malaya Medical Centre

Kuala Lumpur, 59100, Malaysia

Location

Hospital Putrajaya

Putrajaya, 62250, Malaysia

Location

Related Publications (22)

  • Asche C, LaFleur J, Conner C. A review of diabetes treatment adherence and the association with clinical and economic outcomes. Clin Ther. 2011 Jan;33(1):74-109. doi: 10.1016/j.clinthera.2011.01.019.

    PMID: 21397776BACKGROUND
  • Baker-Eveleth, L., & Stone, R. W. (2020). User's perceptions of perceived usefulness, satisfaction, and intentions of mobile application. International Journal of Mobile Communications, 18(1), 1-18.

    BACKGROUND
  • Charan J, Biswas T. How to calculate sample size for different study designs in medical research? Indian J Psychol Med. 2013 Apr;35(2):121-6. doi: 10.4103/0253-7176.116232.

    PMID: 24049221BACKGROUND
  • Cano Martin JA, Martinez-Perez B, de la Torre-Diez I, Lopez-Coronado M. Economic impact assessment from the use of a mobile app for the self-management of heart diseases by patients with heart failure in a Spanish region. J Med Syst. 2014 Sep;38(9):96. doi: 10.1007/s10916-014-0096-z. Epub 2014 Jul 4.

    PMID: 24994514BACKGROUND
  • Chia YC, Devaraj NK, Ching SM, Ooi PB, Chew MT, Chew BN, Mohamed M, Lim HM, Beh HC, Othman AS, Husin HS, Mohamad Gani AH, Hamid D, Kang PS, Tay CL, Wong PF, Hassan H. Relationship of an adherence score with blood pressure control status among patients with hypertension and their determinants: Findings from a nationwide blood pressure screening program. J Clin Hypertens (Greenwich). 2021 Mar;23(3):638-645. doi: 10.1111/jch.14212. Epub 2021 Feb 14.

    PMID: 33586334BACKGROUND
  • Consort - The CONSORT Flow Diagram. (2021). Retrieved 11 December 2021, from http://www.consort-statement.org/consort-statement/flow-diagram.

    BACKGROUND
  • Eysenbach G; CONSORT-EHEALTH Group. CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011 Dec 31;13(4):e126. doi: 10.2196/jmir.1923.

    PMID: 22209829BACKGROUND
  • Islam, S., Peiffer, R., Chow, C., Maddison, R., Lechner, A., & Holle, R. et al. (2020). Cost-effectiveness of a mobile-phone text messaging intervention on type 2 diabetes-A randomized-controlled trial. Health Policy and Technology, 9(1), 79-85

    BACKGROUND
  • Vahatalo I, Kankaanranta H, Tuomisto LE, Niemela O, Lehtimaki L, Ilmarinen P. Long-term adherence to inhaled corticosteroids and asthma control in adult-onset asthma. ERJ Open Res. 2021 Feb 8;7(1):00715-2020. doi: 10.1183/23120541.00715-2020. eCollection 2021 Jan.

    PMID: 33585657BACKGROUND
  • Li J, Sun L, Hou Y, Chen L. Cost-Effectiveness Analysis of a Mobile-Based Intervention for Patients with Type 2 Diabetes Mellitus. Int J Endocrinol. 2021 Jul 1;2021:8827629. doi: 10.1155/2021/8827629. eCollection 2021.

    PMID: 34306072BACKGROUND
  • Lins L, Carvalho FM. SF-36 total score as a single measure of health-related quality of life: Scoping review. SAGE Open Med. 2016 Oct 4;4:2050312116671725. doi: 10.1177/2050312116671725. eCollection 2016.

    PMID: 27757230BACKGROUND
  • Melin J, Bonn SE, Pendrill L, Trolle Lagerros Y. A Questionnaire for Assessing User Satisfaction With Mobile Health Apps: Development Using Rasch Measurement Theory. JMIR Mhealth Uhealth. 2020 May 26;8(5):e15909. doi: 10.2196/15909.

    PMID: 32452817BACKGROUND
  • Perez-Jover V, Sala-Gonzalez M, Guilabert M, Mira JJ. Mobile Apps for Increasing Treatment Adherence: Systematic Review. J Med Internet Res. 2019 Jun 18;21(6):e12505. doi: 10.2196/12505.

    PMID: 31215517BACKGROUND
  • Purcell R, McInnes S, Halcomb EJ. Telemonitoring can assist in managing cardiovascular disease in primary care: a systematic review of systematic reviews. BMC Fam Pract. 2014 Mar 7;15:43. doi: 10.1186/1471-2296-15-43.

    PMID: 24606887BACKGROUND
  • Shang P, Liu GG, Zheng X, Ho PM, Hu S, Li J, Jiang Z, Li X, Bai X, Gao Y, Xing C, Wang Y, Normand SL, Krumholz HM. Association Between Medication Adherence and 1-Year Major Cardiovascular Adverse Events After Acute Myocardial Infarction in China. J Am Heart Assoc. 2019 May 7;8(9):e011793. doi: 10.1161/JAHA.118.011793.

    PMID: 31057004BACKGROUND
  • Tsuji S, Ishikawa T, Morii Y, Zhang H, Suzuki T, Tanikawa T, Nakaya J, Ogasawara K. Cost-Effectiveness of a Continuous Glucose Monitoring Mobile App for Patients With Type 2 Diabetes Mellitus: Analysis Simulation. J Med Internet Res. 2020 Sep 17;22(9):e16053. doi: 10.2196/16053.

    PMID: 32940613BACKGROUND
  • Wood AM, White IR, Thompson SG. Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals. Clin Trials. 2004;1(4):368-76. doi: 10.1191/1740774504cn032oa.

    PMID: 16279275BACKGROUND
  • Juniper EF, Bousquet J, Abetz L, Bateman ED; GOAL Committee. Identifying 'well-controlled' and 'not well-controlled' asthma using the Asthma Control Questionnaire. Respir Med. 2006 Apr;100(4):616-21. doi: 10.1016/j.rmed.2005.08.012. Epub 2005 Oct 13.

    PMID: 16226443BACKGROUND
  • Nau DP. Proportion of days covered (PDC) as a preferred method of measuring medication adherence. Springfield, VA: Pharmacy Quality Alliance. 2012;6:25.

    BACKGROUND
  • Morisky DE, Ang A, Krousel-Wood M, Ward HJ. Predictive validity of a medication adherence measure in an outpatient setting. J Clin Hypertens (Greenwich). 2008 May;10(5):348-54. doi: 10.1111/j.1751-7176.2008.07572.x.

    PMID: 18453793BACKGROUND
  • Morisky DE, Green LW, Levine DM. Concurrent and predictive validity of a self-reported measure of medication adherence. Med Care. 1986 Jan;24(1):67-74. doi: 10.1097/00005650-198601000-00007.

    PMID: 3945130BACKGROUND
  • Morisky DE, DiMatteo MR. Improving the measurement of self-reported medication nonadherence: response to authors. J Clin Epidemiol. 2011 Mar;64(3):255-7; discussion 258-63. doi: 10.1016/j.jclinepi.2010.09.002. Epub 2010 Dec 8. No abstract available.

    PMID: 21144706BACKGROUND

MeSH Terms

Conditions

Medication AdherenceChronic DiseaseFinancial StressAsthmaHypertensionHeart FailureDiabetes Mellitus

Condition Hierarchy (Ancestors)

Patient CompliancePatient Acceptance of Health CareTreatment Adherence and ComplianceHealth BehaviorBehaviorDisease AttributesPathologic ProcessesPathological Conditions, Signs and SymptomsStress, PsychologicalBehavioral SymptomsBronchial DiseasesRespiratory Tract DiseasesLung Diseases, ObstructiveLung DiseasesRespiratory HypersensitivityHypersensitivity, ImmediateHypersensitivityImmune System DiseasesVascular DiseasesCardiovascular DiseasesHeart DiseasesGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Study Officials

  • Ong Siew Chin, PhD

    School of Pharmaceutical Sciences, Universiti Sains Malaysia (USM), Penang, Malaysia

    PRINCIPAL INVESTIGATOR
  • Navin Kumar Loganadan, PhD

    Hospital Putrajaya, Malaysia

    PRINCIPAL INVESTIGATOR
  • Jaya Muneswarao M Devudu

    Hospital Pulau Pinang, Malaysia

    PRINCIPAL INVESTIGATOR
  • Izyan A Wahab, PhD

    Faculty of Pharmacy, University of Malaya, 50603 Kuala Lumpur, Malaysia

    PRINCIPAL INVESTIGATOR
  • Kayatri Govindaraju, PhD

    Faculty of Pharmacy, University of Malaya, 50603 Kuala Lumpur, Malaysia

    PRINCIPAL INVESTIGATOR
  • Rajat Rana, Pharm.D

    Faculty of Pharmacy, University of Malaya, 50603 Kuala Lumpur, Malaysia

    PRINCIPAL INVESTIGATOR
  • Ng Chow Kyn, MPharm Clin

    School of Pharmaceutical Sciences, Universiti Sains Malaysia (USM), Penang, Malaysia

    PRINCIPAL INVESTIGATOR
  • Mohamed Syamir Shukeri, MCH

    Faculty of Pharmacy, University of Malaya, 50603 Kuala Lumpur, Malaysia

    PRINCIPAL INVESTIGATOR
  • Baharudin Ibrahim, PhD

    Faculty of Pharmacy, University of Malaya, 50603 Kuala Lumpur, Malaysia

    PRINCIPAL INVESTIGATOR
  • Hasniza Zaman Huri, PhD

    Faculty of Pharmacy, University of Malaya, 50603 Kuala Lumpur, Malaysia

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Clinical Trial Researcher

Study Record Dates

First Submitted

September 19, 2023

First Posted

October 5, 2023

Study Start

July 30, 2022

Primary Completion

June 30, 2024

Study Completion

September 6, 2024

Last Updated

September 19, 2024

Record last verified: 2024-09

Locations