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Macroergonomics interventions: Influ...

Nwaelele, Onyenma Dan.

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Macroergonomics interventions: Influence of referral method, psychosocial, and demographic factors on outcomes.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Macroergonomics interventions: Influence of referral method, psychosocial, and demographic factors on outcomes./
Author:	Nwaelele, Onyenma Dan.
Description:	295 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
Contained By:	Dissertation Abstracts International76-12B(E).
Subject:	Industrial engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3663887
ISBN:	9781339062464

Macroergonomics interventions: Influence of referral method, psychosocial, and demographic factors on outcomes.
Nwaelele, Onyenma Dan.

Macroergonomics interventions: Influence of referral method, psychosocial, and demographic factors on outcomes. - 295 p.

Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.

Thesis (Ed.D.)--Seattle University, 2015.

Most mainstream ergonomics scholars concur that interventions work in eliminating the etiology and minimizing the exacerbation of work-related musculoskeletal disorders (WRMSD). Many advocate for participatory ergonomics (PE) as the preferred method of engaging employees in the intervention process. Currently, there is a paucity of research on the effectiveness of PE engagement processes. This study explored the efficacy of one PE engagement practice---referral method (self or mandated). The study examined the influence of referral method, psychosocial, and demographic factors on intervention outcome variables: engagement, intervention implementation, strains, workers' compensation claims, workstation satisfaction, and overall job satisfaction.

ISBN: 9781339062464Subjects--Topical Terms:

526216
Industrial engineering.

Macroergonomics interventions: Influence of referral method, psychosocial, and demographic factors on outcomes.
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100 1 $a Nwaelele, Onyenma Dan. $3 3276850
245 1 0 $a Macroergonomics interventions: Influence of referral method, psychosocial, and demographic factors on outcomes.
300 $a 295 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
500 $a Adviser: Laurie Stevahn.
502 $a Thesis (Ed.D.)--Seattle University, 2015.
520 $a Most mainstream ergonomics scholars concur that interventions work in eliminating the etiology and minimizing the exacerbation of work-related musculoskeletal disorders (WRMSD). Many advocate for participatory ergonomics (PE) as the preferred method of engaging employees in the intervention process. Currently, there is a paucity of research on the effectiveness of PE engagement processes. This study explored the efficacy of one PE engagement practice---referral method (self or mandated). The study examined the influence of referral method, psychosocial, and demographic factors on intervention outcome variables: engagement, intervention implementation, strains, workers' compensation claims, workstation satisfaction, and overall job satisfaction.
520 $a Data came from two sources: (a) archival records from 714 public sector office workers and (b) a new instrument used to collect data from 387 workers who comprised a convenience sample. The study reported two new findings: (a) referral method does not influence ergonomics interventions and (b) self-referred participants file fewer post-assessment workers' compensation claims. The study also confirmed three prior results: (a) there is a prevalence of WRMSD reporting by women (Armstrong et al., 1993; Hales et al., 1994; Noak-Cooper et al., 2009), (b) socioeconomic status reflected by educational level is less of a factor on WRMSD outcomes than psychosocial factors (Gillen et al., 2007), and (c) psychosocial factors are essential in managing employee safety (de Lange et al., 2003; Goodman et al., 2005). This dissertation study's findings, in the King County context in which it was conducted, underscores the agency's equity and social justice policies that ". . . do not favor one group over the other" (Joines & Sommerich, 2001, p. 334).
590 $a School code: 0551.
650 4 $a Industrial engineering. $3 526216
650 4 $a Social sciences education. $3 2144735
650 4 $a Public health education. $3 2144801
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710 2 $a Seattle University. $3 1027896
773 0 $t Dissertation Abstracts International $g 76-12B(E).
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792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3663887