Evidence map›Paper›PMID 38205404›Full record

ReviewIranian journal of nursing and midwifery research

Informal Caregivers and Care Burden in Iran: Systematic Review and Meta-Analysis.

Mohammadreza Amiresmaili, Reza Goudarzi, Leila Agoush

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In one paragraph

Review in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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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

3 authors.

Mohammadreza AmiresmailiHealth in Disasters and Emergencies Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Reza GoudarziModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Leila AgoushDepartment of Management, Policy and Health Economics, School of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increase in the average age of the population, the decrease in the size of the household and rising in the number of working women impose an increasing burden on home caregivers in Iran. The aim of this study was to measure care burden of informal caregivers in Iran through systematic review and meta-analysis of existing literature. Materials and Methods: A systematic review was conducted by using national and international databases of Scopus, PubMed, Embase, Web of Science, SID, Magiran, and IranDoc papers in English and Persian language up to the first half of 2020. In this meta-analysis, we calculated the pooled care burden and 95% confidence intervals in Statistical Software For Data Science (STATA) V.15. Results: Forty-four papers were included in the current study based on inclusion and exclusion criteria comprising of 8626 samples. Pooled mean of Burden of Care was 52.01 (95% CI: 48.21-55.82). Highest pooled mean(SD) of care burden (64.37) was related to caregivers of schizophrenia patients (95% CI: 56.09-72.64). Highest care burden (53.45) was observed in most deprived areas (95%CI = 47.05-59.86). A statistically significant relationship was observed between caregivers gender and care burden (p < 0.05). Conclusions: The reported care burden of informal caregivers requires the establishment of a support system to control mental and physical stress. Due to the dispersion and cultural diversity in Iran, more studies are needed to obtain more accurate data.

Indexed as

Caregiver burdenIranmeta-analysisschizophreniasystematic review

Identifiers

PMID38205404
PMCPMC10775867

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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.