Evidence map›Paper›PMID 36921949›Full record

ArticleBMJ open2023

Qualitative study exploring heterogeneity in caregiving experiences post-stroke in Singapore.

Shilpa Tyagi, Nan Luo, Chuen Seng Tan, Kelvin Bryan Tan, Boon Yeow Tan, Edward Menon, N Venketasubramanian, Wei Chin Loh, Shu Hui Fan, Kenneth Lam Thuan Yang and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

14 authors at 5 institutions in 2 countries.

Shilpa TyagiSaw Swee Hock School of Public Health, National University of Singapore, Singapore.ORCID 0000-0001-7755-0324
Nan LuoSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Chuen Seng TanSaw Swee Hock School of Public Health, National University of Singapore, Singapore.ORCID 0000-0002-6513-2309
Kelvin Bryan TanPolicy Research & Evaluation Division, Ministry of Health Singapore, Singapore.
Boon Yeow TanMedical Services, St. Luke's Hospital, Singapore.
Edward MenonMedical Services, St. Andrew's Community Hospital, Singapore.
N VenketasubramanianRaffles Neuroscience Centre, Raffles Hospital, Singapore.
Wei Chin LohRehabilitation, St. Andrew's Community Hospital, Singapore.
Shu Hui FanRehabilitation, St. Andrew's Community Hospital, Singapore.
Kenneth Lam Thuan YangRehabilitation, St. Luke's Hospital, Singapore.
Audrey Swee Ling ChanSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Aysha FarwinSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Zunairah Binti LukmanSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Gerald Choon-Huat KohSaw Swee Hock School of Public Health, National University of Singapore, Singapore ephkohch@nus.edu.sg.
National University of Singapore · SGSt Andrews Community Hospital · GBSt Luke's Hospital · SGMinistry of Health · SGRaffles Institution · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveStroke, a common illness in older adults, accounts for up to 4% of direct medical costs in developed nations. Informal caregiving contributing a significant proportion of economic burden post-stroke warrants a deeper understanding of the caregiving context to sustain caregiving arrangement. While literature exists describing differences in motivation and preferences of caregivers, limited literature explores differences in caregiving experiences of different types of caregivers (ie, spouse, adult-child, sibling or others). Addressing this gap, our study aimed to explore the caregiving experience of stroke survivors and their family caregivers across different caregiver identities in an Asian setting.

designQualitative descriptive study.

settingCommunity setting.

participantsWe conducted semi-structured interviews with 26 stroke survivors and 35 caregivers purposively sampled from an outpatient rehabilitation setting, an outpatient clinic and a support organisation. Data were analysed using thematic analysis. OUTCOME MEASURES: Themes including caregiving experience of stroke survivors and their family caregivers across different caregiver identities.

resultsFollowing five themes were reported: caregiver reserve, coping strategies, caregiver burden, competing commitments and role of foreign domestic worker (FDW) in family caregiving. Spouse caregivers were less willing to ask for help, commonly adopted faith-based, and spacing or recharging types of coping, reported emotional strain and shared limited accounts of FDWs. Adult-child caregivers were more willing to ask for help, engaged in alternative care arrangements involving FDWs, commonly adopted action-focussed coping and reported multidimensional caregiver burden.

conclusionOur findings illustrated the heterogeneity in factors affecting caregiving experience across spouse and adult-child caregivers. Practical implications include conducting a needs assessment for caregiver-stroke survivor dyads and providing tailored support, training and information to help caregivers cope better.

Indexed as

StrokeAdaptation, PsychologicalAgedCaregiversHumansSingaporeSpousespublic healthqualitative researchstroke

Identifiers

PMID36921949
PMCPMC10030476
OpenAlexW4324350334

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.