Evidence map›Paper›PMID 34636621›Full record

ArticleCurationis2021

Perceived predictors of quality of life in patients with end-stage renal disease on dialysis.

Pretty N Mbeje, Ntombifikile Mtshali

Abstract read
In one paragraph

Article in Curationis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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
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

2 authors.

Pretty N MbejeDepartment of Nursing, Faculty of Health Sciences, University of KwaZulu-Natal, Durban. mbejep@ukzn.ac.za.
Ntombifikile Mtshali

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReduced quality of life (QOL) is associated with shorter survival, and is more marked in patients with end-stage renal disease (ESRD). Predictors of health, which include policymaking, social factors, health services, individual behaviour, biology and genetics, have an impact on the QOL of patients with ESRD. Patients with ESRD in South Africa are cared for in public and private hospitals, with public health institutions characterised by several challenges.

objectiveTo explore and analyse the perceived predictors of QOL in patients with ESRD in the three district hospitals that provide renal services in KwaZulu-Natal.

methodsAn exploratory, descriptive qualitative research approach based on grounded theory research design was used and three focus group discussions (FGDs) were conducted. The researcher recruited 18 participants, 6 in each focus group. Three phases of data analysis were followed: open coding, axial coding, and selective coding.

resultsPredictors of QOL that emerged were the geographic location of the patients, accessibility of haemodialysis centres, patients' adaptation and acceptance of the condition, self-management, support by family members and caregivers and availability of adequately trained nurses.

conclusionPredictors of QOL in patients with ESRD are associated with an increased risk of morbidity and mortality resulting from dialysis. The broad range of dimensions of life is negatively affected and requires intervention by the renal team and policymakers to improve the QOL of patients.

Indexed as

Kidney Failure, ChronicQuality of LifeCaregiversHumansRenal DialysisSouth Africadialysisend-stage renal diseasepredictorsquality of liferenal services

Identifiers

PMID34636621
PMCPMC8517801

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.