Evidence map›Paper›PMID 36232257›Full record

ArticleInternational journal of environmental research and public health2022

Exploring the Need for Mobile Application in Stroke Management by Informal Caregivers: A Qualitative Study.

Muhammad Iqbal Haji Mukhti, Mohd Ismail Ibrahim, Tengku Alina Tengku Ismail, Iliatha Papachristou Nadal, Sureshkumar Kamalakannan, Sanjay Kinra, Jafri Malin Abdullah, Kamarul Imran Musa

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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 at 4 institutions in 2 countries.

Muhammad Iqbal Haji MukhtiDepartment of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.ORCID 0000-0001-9128-2290
Mohd Ismail IbrahimDepartment of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.ORCID 0000-0002-5470-4180
Tengku Alina Tengku IsmailDepartment of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.ORCID 0000-0001-6689-4527
Iliatha Papachristou NadalDivision of Care in Long Term Conditions, King's College London, London SE1 8WA, UK.ORCID 0000-0002-2991-2578
Sureshkumar KamalakannanDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Faculty of Epidemiology and Population Health, Keppel Street, London WC1E 7HT, UK.ORCID 0000-0001-6970-4952
Sanjay KinraDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Faculty of Epidemiology and Population Health, Keppel Street, London WC1E 7HT, UK.
Jafri Malin AbdullahDepartment of Neurosciences, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.ORCID 0000-0002-0258-7410
Kamarul Imran MusaDepartment of Community Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.ORCID 0000-0002-3708-0628
Universiti Sains Malaysia · MYKing's College London · GBLondon School of Hygiene & Tropical Medicine · GBNorthumbria University · GB

Funding

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

Abstract

backgroundMobile health (mHealth) has been considered as a prominent concept in digital health and is widely used and easily accessible. Periodic follow-up visits, previously planned procedures, and rehabilitation services for stroke survivors have been cut down during the recent COVID-19 pandemic. Therefore, in this qualitative study we aimed to explore the need for a mobile application in stroke management by informal caregivers.

methodsA phenomenological qualitative study was conducted from November 2020 to June 2021. Thirteen respondents were recruited from two public rehabilitation centers in Kota Bharu, Kelantan, Malaysia. In-depth interviews were conducted. A comprehensive representation of perspectives from the respondents was achieved through purposive sampling. The interviews were conducted in the Kelantanese dialect, recorded, transcribed, and analyzed by using thematic analysis.

resultsThirteen participants were involved in the interviews. All of them agreed with the need for a mobile application in stroke management. They believed the future stroke application will help them to seek information, continuous stroke home care, and help in the welfare of caregivers and stroke patients.

conclusionsThe current study revealed two themes with respective subthemes that were identified, namely, self-seeking for information and reasons for using a stroke mobile application in the future. This application helps in reducing healthcare costs, enhancing the rehabilitation process, facilitating patient engagement in decision making, and the continuous monitoring of patient health.

Indexed as

COVID-19Mobile ApplicationsStrokeStroke RehabilitationCaregiversHumansPandemicsQualitative Researchhealthcare digitalizationinformal caregiversmobile applicationrehabilitationstroke management

Identifiers

PMID36232257
PMCPMC9566614
OpenAlexW4304136300

What OpenQuestion 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 OpenQuestion graph.