Evidence map›Paper›PMID 35070911›Full record

ArticleInternational journal of critical illness and injury science

Evaluation and analysis of new design traditional handloom performance in reducing work musculoskeletal disorders among Sarong Samarinda female weavers: A quasi-experimental study.

Iwan Muhamad Ramdan, Krishna Purnawan Candra

Open access · greenAbstract read
In one paragraph

Article in International journal of critical illness and injury science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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 at 1 institution in 1 country.

Iwan Muhamad RamdanDepartement Occupational Health and Safety, Faculty of Public Health, Mulawarman University, Samarinda, Indonesia.
Krishna Purnawan CandraDepartement of Agricultural Product Technology, Faculty of Agriculture, Mulawarman University, Samarinda, Indonesia.
Mulawarman University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWork musculoskeletal disorder (WMSDs) are occupational health problems whose prevalence is still high in various countries. Ergonomic interventions are the most successful approach to reducing WMSDs. This study evaluated the effect of redesign traditional handloom on the work posture and musculoskeletal disorders of Samarinda Sarong traditional weavers.

methodsThe quasi-experiment has been carried out on 40 traditional weavers from February to September 2019 in Samarinda, Indonesia. The weaver using the new design handloom then evaluated its impact on work posture and WMSDs in the first 3 months and the second 3 months. Work posture was assessed using Rapid Upper Limb Assessment (RULA). WMSDs were assessed using a Nordic Body Map questionnaire. Data were analyzed using Friedman and Dunn's test.

resultsThe RULA score decreased from 7 to 3 and 2, while the WMSD risk at "very high" level decreased from 12.5% to 7.5% and 2.5% and the WMSD at "high" risk level decreased from 87.5% to 10.0% and 5.0% following the introducing of the new design traditional handloom at 3 and 6 months, respectively.

conclusionsThe new design of the traditional handloom on Sarong Samarinda female weavers has succeeded in improving work posture and reducing WMSDs.

Indexed as

Ergonomicsmusculoskeletalposturework

Identifiers

PMID35070911
PMCPMC8725805
OpenAlexW4206698663

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.