Evidence map›Paper›PMID 30323851›Full record

ArticleJournal of circadian rhythms2018

Using the Analytic Network Process Method for Prioritizing and Weighing Shift Work Disorders Among the Personnel of Hospitals of Kerman University of Medical Sciences.

Sajad Zare, Hossein Elahi Shirvan, Rasoul Hemmatjo, Mohammad Faridan, Masoud Hajghani, Behzad Fouladi Dehaghi

Open access · goldAbstract read
In one paragraph

Article in Journal of circadian rhythms, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Sajad ZareDepartment of Occupational Health, School of Public Health, Kerman University of Medical Sciences, Kerman, IR.
Hossein Elahi ShirvanStudent Research Committee, Kerman University of Medical Sciences, Kerman, IR.
Rasoul HemmatjoDepartment of Occupational Health, School of Public Health, Urmia University of Medical Sciences, Urmia, IR.
Mohammad FaridanDepartment of Occupational Health, School of Public Health, Lorestan University of Medical Sciences, Lorestan, IR.
Masoud HajghaniMaster of Science Industrial Engineering, Department of Industrial Engineering, Shahid Bahonar University of Kerman, Kerman, IR.
Behzad Fouladi DehaghiDepartment of Occupational Health, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, IR.
Ahvaz Jundishapur University of Medical Sciences · IRUrmia University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIncreasing population, the need for services, and industrialization of societies have led to a growing demand for shift work. Shiftwork causes several disorders, and determining the weight of each disorders is important for their prevention and treatment. Therefore, the purpose of the present study was to use Analytic Network Process (ANP) to prioritize and weigh shift work disorders among the personnel of hospitals of Kerman University of Medical Sciences.

methodsThis cross-sectional, descriptive-analytical study was conducted in 2017 among 300 shift work personnel of 10 public hospitals affiliated with Kerman University of Medical Sciences. ANP was used to prioritize and weigh shift work disorders. To this end, the criteria, sub-criteria, and alternatives were initially identified. Then, shift work disorders were categorized into 7 general criteria, 20 sub-criteria, and 3 alternatives. After designing the ANP and determining the effect of each criterion on the sub-criteria, the ANP questionnaire was developed and administered among the shift work personnel, who filled it out based on ANP. Super Decisions was subsequently used to weigh and prioritize shift work disorders.

resultsThe results indicated that shift work disorders among the nurses included sleep disorders (0.297), psychological disorders (0.275), digestive disorders (0.137), personal life disorders (0.122), etc., in that order of weighing. With respect to the support staff, the major shift work disorders involved sleep disorders (0.252), digestive disorders (0.198), personal life disorders (0.168), and psychological disorders (0.164). Considering security personnel, the top four shift work disorders were sleep disorders (0.201), digestive disorders (0.186), psychological disorders (0.174), and personal life disorders (0.145).

conclusionAccording to the findings, sleep disorders had the highest weight in the three studied groups. Moreover, the night shift had the most profound effect on shift work disorders among the personnel in the three groups. It was followed by the evening shift. Morning shift had the lowest influence on shift work disorders. Therefore, the schedules should be taken to prevent these complications in the shift workers. It is suggested that work shift complications be included in the periodic examination program and, in case of discovery of any rhythmic disorder in each shift workers, the person should not remain in the shiftwork group for some time.

Indexed as

ANPDigestive disordersHospitalShift workSleep disorders

Identifiers

PMID30323851
PMCPMC6183324
OpenAlexW2895706734

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.