Efficacy of CareAide® App in Improving Adherence in Adults With Chronic Diseases
CAREAide
Perception, Adherence, Clinical, Economical and Health-Related Quality of Life Outcomes of CareAide® App Usage in Chronic Diseases
2 other identifiers
interventional
900
1 country
3
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.Can CareAide make people take their medications better and improve their health?
- 2.Can CareAide improve the health of people with chronic diseases?
- 3.Does using CareAide make people's lives better?
- 4.Can CareAide save money when managing chronic diseases?
- 5.How do people feel about using CareAide?
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jul 2022
Typical duration for not_applicable
3 active sites
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
CompletedFirst Submitted
Initial submission to the registry
September 19, 2023
CompletedFirst Posted
Study publicly available on registry
October 5, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
September 6, 2024
CompletedSeptember 19, 2024
September 1, 2024
1.9 years
September 19, 2023
September 16, 2024
Conditions
Keywords
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
EXPERIMENTALParticipants allocated to the Interventional group (IG) uses the CareAide® app on their smartphones in addition to prescribed usual therapeutic care.
Control Group
NO INTERVENTIONParticipants 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
Eligibility Criteria
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
University Malaya Medical Centre
Kuala Lumpur, 59100, Malaysia
Hospital Putrajaya
Putrajaya, 62250, Malaysia
Related Publications (22)
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PMID: 21397776BACKGROUNDBaker-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.
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PMID: 24049221BACKGROUNDCano 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: 24994514BACKGROUNDChia 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: 33586334BACKGROUNDConsort - The CONSORT Flow Diagram. (2021). Retrieved 11 December 2021, from http://www.consort-statement.org/consort-statement/flow-diagram.
BACKGROUNDEysenbach 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: 22209829BACKGROUNDIslam, 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
BACKGROUNDVahatalo 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: 33585657BACKGROUNDLi 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: 34306072BACKGROUNDLins 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: 27757230BACKGROUNDMelin 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: 32452817BACKGROUNDPerez-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: 31215517BACKGROUNDPurcell 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: 24606887BACKGROUNDShang 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: 31057004BACKGROUNDTsuji 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: 32940613BACKGROUNDWood 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: 16279275BACKGROUNDJuniper 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: 16226443BACKGROUNDNau DP. Proportion of days covered (PDC) as a preferred method of measuring medication adherence. Springfield, VA: Pharmacy Quality Alliance. 2012;6:25.
BACKGROUNDMorisky 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: 18453793BACKGROUNDMorisky 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: 3945130BACKGROUNDMorisky 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
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
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
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