Evidence map›Paper›PMID 27123223›Full record

ArticleElectronic physician2016

Relationship between Work Ability Index and Cognitive Failure among Nurses.

Milad Abbasi, Abolfazl Zakerian, Malihe Kolahdouzi, Ahmad Mehri, Arash Akbarzadeh, Mohammad Hossein Ebrahimi

Abstract read
In one paragraph

Article in Electronic physician, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Individual Work Attitudes and Work Ability.European journal of investigation in health, psychology and education · 2025
    Article
  3. Article
  4. Article
  5. Factors influencing inpatient bowel preparation: a scoping review.Journal of gastroenterology and hepatology · 2024
    Article
  6. Article
  7. Poor Work Ability Is Associated with Workplace Violence in Nurses: A Two-Wave Panel Data Analysis.International journal of environmental research and public health · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Observational
  15. Article
  16. Article
  17. Article
  18. 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

6 authors.

Milad AbbasiM.Sc. of Occupational Health Engineering, Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran.
Abolfazl ZakerianPh.D. of Occupational Health Engineering, Associate Professor, Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Malihe KolahdouziM.Sc. of Occupational Health Engineering, Department of Occupational Health Engineering, School of Public Health, Sahahid Sadoughi University of Medical Sciences, Yazd, Iran.
Ahmad MehriM.Sc. of Occupational Health Engineering, Department of Occupational Health Engineering, School of Public Health, Ilam University of Medical Sciences, Ilam, Iran.
Arash AkbarzadehM.Sc. of Biostatistics, Department of Biostatistics and Epidemiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein EbrahimiM.D, Assistant Professor of Occupational Medicine, Department of Occupational Health Engineering, Occupational and Environmental Health Research Center, Shahroud University of Medical Sciences, Shahroud, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFrequent nursing errors are considered as factors that affect the quality of healthcare of patients. Capable nurses who are compatible with work conditions are more focused on their tasks, and this reduces their errors and cognitive failures. Therefore, this study was conducted with the aim of investigating the relationship between work ability index (WAI) and cognitive failures (CFs) as well as some factors that affect them in nurses working in the ICU, CCU, and emergency wards.

methodsThis descriptive-analytical and cross-sectional study was conducted with 750 nurses at educational hospitals affiliated with the Tehran University of Medical Sciences in 2015. A questionnaire of work ability index and cognitive failures was used to collect data. The data were analyzed using SPSS 20 and the Pearson and Spearman correlation coefficients, chi-squared, ANOVA, and the Kruskal-Wallis tests.

resultsUsing the Pearson correlation test, the results of this study showed that there is a significant, inverse relationship between WAI, personal prognosis of work ability, and mental resources with CFs along with all its subscales in nurses (p < 0.05). In addition, there was an inverse and significant relationship between the total score of CFs and the estimated work impairment due to diseases (p < 0.05). There was a significant positive correlation of CFs with age and experience, while WAI was inversely related to age, work experience, and body mass index (BMI) (p < 0.05). WAI and CFs were related significantly to working units (p < 0.05).

conclusionConsidering the results obtained in this study, WAI and the cognitive status of nurses were lower than the specified limit. It is suggested that the work ability of nurses be improved and that their CFs be reduced through various measures, including pre-employment examinations, proper management of work-shift conditions, and using engineering and administrative strategies to ensure the safety of hospitalized patients.

Indexed as

cognitive failurenursework ability index

Identifiers

PMID27123223
PMCPMC4844480

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.