Evidence map›Paper›PMID 41740149›Full record

ArticleJMIR research protocols2026

The Effect of the

Nurulizzah Mahfar, Nik Nairan Abdullah, Dalila Roslan, Khalid Ibrahim, Ungku Ahmad Ameen Ungku Mohd Zam, Noraliza Noordin Merican, Xin Wee Chen, Mariam Mohamad

Abstract read
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nurulizzah Mahfar *Public Health Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sg Buloh Campus, Selangor Branch, Sungai Buloh, 47000, Malaysia, +60361267214.ORCID 0009-0003-9575-199X
Nik Nairan Abdullah *Public Health Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sg Buloh Campus, Selangor Branch, Sungai Buloh, 47000, Malaysia, +60361267214.ORCID 0000-0001-8009-2918
Dalila Roslan *Public Health Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sg Buloh Campus, Selangor Branch, Sungai Buloh, 47000, Malaysia, +60361267214.ORCID 0000-0002-7739-3776
Khalid Ibrahim *Public Health Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sg Buloh Campus, Selangor Branch, Sungai Buloh, 47000, Malaysia, +60361267214.ORCID 0000-0001-6683-7709
Ungku Ahmad Ameen Ungku Mohd Zam *Geriatric Unit, Medical Department, Hospital Tengku Ampuan Rahimah, Klang, Malaysia.ORCID 0009-0008-9355-6863
Noraliza Noordin Merican *Elderly Health Sector, Family Health Development Division, Ministry of Health, Putrajaya, Malaysia.ORCID 0009-0008-3438-5582
Xin Wee ChenPublic Health Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sg Buloh Campus, Selangor Branch, Sungai Buloh, 47000, Malaysia, +60361267214.ORCID 0000-0002-4785-7189
Mariam MohamadPublic Health Medicine Department, Faculty of Medicine, Universiti Teknologi MARA, Sg Buloh Campus, Selangor Branch, Sungai Buloh, 47000, Malaysia, +60361267214.ORCID 0000-0002-2580-6153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dementia is a growing public health concern, disproportionately affecting low- and middle-income countries. Caregivers of people living with dementia often face significant physical, psychological, social, and financial burdens, with high prevalence rates of caregiver strain in Malaysia. Mobile health (mHealth) apps have demonstrated potential to enhance caregivers' knowledge, attitudes, and practices (KAP) and to reduce burden. However, few culturally tailored solutions exist for Malaysia. The DemensiaKITA app was developed to provide locally relevant information, support services, and stress management tools for dementia caregivers. Objective: The purpose of this single-blinded, nonrandomized controlled trial (NRCT) is to evaluate the effectiveness of the DemensiaKITA mHealth app in improving caregivers' KAP and reducing caregiver burden in Selangor and Kuala Lumpur, Malaysia. Methods: This research will be conducted in 2 phases. Phase 1 involves the adaptation, translation, and validation of 4 instruments: Dementia Knowledge Assessment Tool Version 2, Dementia Attitudes Scale, Caregiver Task Inventory-25 items, and Short-form Zarit Burden Interview-12 items. Content, face, and construct validity, along with reliability (Cronbach α and test-retest intraclass correlation), will be established. Phase 2 is a single-blinded NRCT conducted in 4 public hospitals. A total of 100 caregivers will be recruited. Two intervention hospitals will receive the DemensiaKITA app, while 2 control hospitals will receive usual care (Ministry of Health dementia leaflets and video). The primary outcomes (KAP) and secondary outcome (burden level) will be assessed at baseline, 1 month, and 3 months using the validated questionnaires on an intention-to-treat basis. Data will be analyzed with descriptive statistics, chi-square and t tests, and generalized estimating equations. Results: Recruitment and baseline data collection are underway. Recruitment for Phase 1 (instrument validation) occurred from December 2024 until July 2025. It is expected to produce valid and reliable Malay versions of KAP and burden instruments. Recruitment for the Phase 2 NRCT will occur from August 2025 until February 2026. The first follow-up data collection for Phase 2 will occur 1 month after baseline, and the second and final follow-up will occur at 3 months. Data analysis has not yet begun. Phase 2 is expected to show significant improvements in dementia KAP and reduced caregiver burden in the intervention group compared to controls. This study was conducted without any specific external financial support or grants from any public, commercial, or not-for-profit funding agencies. The study findings are expected to be published in December 2026. Conclusions: This article describes the protocol for a single-blinded NRCT examining a novel mHealth intervention. The DemensiaKITA app has the potential to empower caregivers, enhance dementia care practices, and alleviate caregiver burden in Malaysia and may serve as a model for other low- and middle-income countries globally.

Indexed as

CaregiversDementiaHealth Knowledge, Attitudes, PracticeMobile ApplicationsCost of IllnessFemaleHumansMalaysiaMaleNon-Randomized Controlled Trials as TopicSingle-Blind MethodSurveys and Questionnairescaregiver burdencaregiversdementiahealth knowledge, attitudes, practicemobile appsnonrandomized controlled trial

Identifiers

PMID41740149
PMCPMC12935413

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.