Evidence map›Paper›PMID 32384894›Full record

ArticleHealth and quality of life outcomes2020

Factors associated with health related quality of life of patients with stroke in Sri Lankan context.

Pramudika Nirmani Kariyawasam, Kithsiri Dedduwa Pathirana, Don Chandana Hewage

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Factors Associated with Health-Related Quality of Life among Government Employees in Putrajaya, Malaysia.International journal of environmental research and public health · 2021
    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

3 authors.

Pramudika Nirmani KariyawasamDepartment of Nursing, Faculty of Allied Health Sciences, University of Ruhuna, Galle, Sri Lanka. pnirmanikariyawasam@gmail.com.ORCID http://orcid.org/0000-0002-7701-2240
Kithsiri Dedduwa PathiranaDepartment of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
Don Chandana HewageDepartment of Physiology, Faculty of Medical Sciences, University of Sri Jayewardenepura, Gangodawila, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is a major global health concern which affects the health related quality of life (HRQOL). As the prevalence of stroke is increasing especially in lower-middle income countries, it is vital to identify the factors associated with the HRQOL of affected individuals. Available literature for post stroke HRQOL and the associated factors are mainly from high income countries. Therefore, we conducted this study to identify the factors associated with HRQOL of stroke survivors using a stroke specific measure.

methodsA longitudinal study was conducted with the participation of 257 stroke survivors. Participants were followed up after 3 months at the neurology and medical clinics in the Teaching Hospital, Karapitiya, Sri Lanka. Health related quality of life was assessed using the validated version of Stroke Aphasia Quality of Life (SAQOL)-39 generic scale. Pearson correlation, independent sample t-test, one-way ANOVA and regression analysis were used to identify the factors associated with quality of life.

resultsMean age of the participants with stroke was 66.1 (SD 11.7) years. The mean overall HRQOL was 3.15 (SD 0.96) as measured by the SAQOL-39 g. The socio-demographic factors which had significant associations with HRQOL were; gender, level of education, marital status, occupation and monthly income (p < 0.05). The clinical factors which had significant associations with HRQOL were; level of dependence and disability, type of stroke, side of the lesion, type of aphasia, level of language impairment, receiving physiotherapy and speech therapy and follow up care (p < 0.05). The results of regression indicated six independent predictors [F (6,234) = 42.6, p < 0.05], with an R

conclusionSevere degree of dependence, severe level of language impairment, older age, hemorrhagic stroke, and lesions in the left side were associated with lower HRQOL. Higher education level was associated with higher HRQOL scores.

Indexed as

Quality of LifeAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedSri LankaStrokeStroke RehabilitationSurvivors

Identifiers

PMID32384894
PMCPMC7206769

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.