Evidence map›Paper›PMID 37905189›Full record

ArticleFrontiers in neurology2023

A mixed-methods study on the implementation of a mobile health application (mHealth app) for stroke caregivers in Malaysia: healthcare providers' perspective.

Norsima Nazifah Sidek, Tengku Alina Tengku Ismail, Sureshkumar Kamalakannan, Xin Wee Chen, Muhammad Hibatullah Romli, Mohamad Zarudin Mat Said, Iliatha Papachristou Nadal, Khairul Azmi Ibrahim, Kamarul Imran Musa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 7 institutions in 2 countries.

Norsima Nazifah SidekDepartment of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia.
Tengku Alina Tengku IsmailDepartment of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia.
Sureshkumar KamalakannanDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Xin Wee ChenDepartment of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia.
Muhammad Hibatullah RomliDepartment of Rehabilitation Medicine, UPM Teaching Hospital, Faculty of Medicine and Health Sciences, Malaysian Research Institute on Ageing (MyAgeing™), Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Mohamad Zarudin Mat SaidDisease Control Unit, Hilir Perak District Health Office, Teluk Intan, Perak, Malaysia.
Iliatha Papachristou NadalDivision of Care in Long Term Conditions, King's College London, London, United Kingdom.
Khairul Azmi IbrahimClinical Research Centre, Hospital Sultanah Nur Zahirah, Ministry of Health Malaysia, Kuala Terengganu, Terengganu, Malaysia.
Kamarul Imran MusaDepartment of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia.
Hospital Universiti Sains Malaysia · MYHospital Sultanah Nur Zahirah · MYKing's College London · GBLondon School of Hygiene & Tropical Medicine · GBMinistry of Health · MYUniversiti Putra Malaysia · MYUniversiti Teknologi MARA · MY

Funding

Medical Research Council MR/T018968/1
6 · The paper itself

Abstract

Introduction: Recognizing the burden experienced by caregivers of stroke survivors, an intervention using mobile health applications (mHealth apps) has been proposed to support and empower stroke caregivers. This study aimed to assess the acceptability and expectations of healthcare providers, who play a vital role as gatekeepers in the healthcare system, to ensure the effectiveness and sustainability of the intervention. Methods: This was a concurrent mixed-method study design, with healthcare providers involved in stroke care management in the northeast regions of Malaysia as study participants. The qualitative component of the study was conducted using a phenomenological approach that involved in-depth interviews to explore the acceptability and expectations of healthcare providers regarding the adoption of mHealth apps in the context of stroke caregiving. The study was complemented by quantitative data collected through an online survey using an adjusted version of the technology acceptance model tool. Results: In total, 239 participants from diverse backgrounds and professions were enrolled in the study, with 12 in the qualitative component and 227 in the quantitative component. The findings from the quantitative survey showed that over 80% of the participants expressed their intention to use mHealth apps. The qualitative component generated two themes related to the acceptability and expectations of mHealth apps, which were integrated with the quantitative findings. Additionally, in-depth interviews revealed a new theme, namely the key features of mHealth, with three sub-themes: availability of services for caregivers, provision of knowledge skills, and supporting caregivers in managing stroke patients. Conclusion: Healthcare providers demonstrated excellent acceptability of this mHealth intervention as part of caregiving assistance, particularly with the inclusion of essential key features. However, future investigations are necessary to establish the feasibility of integrating the mHealth app into the healthcare system and to ensure its long-term sustainability.

Indexed as

acceptabilitymHealth appmixed methodstroke caregiversstroke healthcare provider

Identifiers

PMID37905189
PMCPMC10613485
OpenAlexW4387579811

What OpenQuestion holds

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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 OpenQuestion graph.