Evidence map›Paper›PMID 30781731›Full record

ArticleInternational journal of environmental research and public health2019

Development of the Fatigue Risk Assessment and Management in High-Risk Environments (FRAME) Survey: A Participatory Approach.

Ashley E Shortz, Ranjana K Mehta, S Camille Peres, Mark E Benden, Qi Zheng

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 1 institution in 1 country.

Ashley E ShortzDepartment of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA. aeshortz@tamu.edu.
Ranjana K MehtaDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA. rmehta@tamu.edu.ORCID 0000-0002-8254-8365
S Camille PeresDepartment of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA. peres@tamu.edu.ORCID 0000-0002-3679-9171
Mark E BendenDepartment of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA. mbenden@sph.tamhsc.edu.ORCID 0000-0002-5765-8386
Qi ZhengDepartment of Epidemiology and Biostatistics, Texas A&M University, College Station, TX 77843, USA. qzheng@sph.tamhsc.edu.
Texas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing risk assessment tools are not effective or sustainable in identifying Oil and Gas Extraction (OGE) workers at high risk of fatigue-related injuries or incidents. We developed a comprehensive Fatigue Risk Assessment and Management in high-risk Environments (FRAME) survey through an industry-academic participatory approach. The FRAME survey was developed through: (1) systematic gathering of existing fatigue scales; (2) refining the inventory using the Delphi Consensus technique; and (3) further refinement through employee/worker focus groups. The participatory approach resulted in a final FRAME survey across four fatigue dimensions-sleep, shiftwork, physical, and mental fatigue, and was composed of 26 items. The FRAME survey was founded on occupational fatigue science and refined and tailored to the OGE industry, through rigorous industry stakeholder input, for safer, effective, practical, and sustainable fatigue assessment and management efforts.

Indexed as

Oil and Gas IndustryAdultCommunity ParticipationDelphi TechniqueFatigueFemaleFocus GroupsHumansMaleMiddle AgedOccupational DiseasesRisk AssessmentSafety ManagementSurveys and Questionnairesoil and gasoverexertionquestionnaireshiftsleepworkload

Identifiers

PMID30781731
PMCPMC6406396
OpenAlexW2911649824

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.