Alicia G Dugan1, Sara Namazi, Jennifer M Cavallari, Mazen El Ghaziri, Robert D Rinker, Julius C Preston, Martin G Cherniack. 1. From the Division of Occupational and Environmental Medicine, Department of Medicine, UConn School of Medicine, Farmington, CT (Dr Dugan, Dr Cavallari, Dr Cherniack); Department of Health Sciences, Springfield College, Springfield, MA (Dr Namazi); Department of Public Health Sciences, UConn School of Medicine, Farmington, CT (Dr Cavallari); Solomont School of Nursing, Zuckerberg College of Health Sciences, University of Massachusetts, Lowell, MA (Dr El Ghaziri); Connecticut State Employees Association, Service Employees International Union, Local 2001, Hartford, CT (Mr Rinker, Mr Preston).
Abstract
OBJECTIVE: A team of academics and unionized correctional supervisors collaborated to assess workforce health and determine intervention priorities using participatory methods and tools. METHODS: Correctional supervisors took a web-based survey. Univariate and bivariate tests examined attitudes/behaviors, exposures, and outcomes most strongly associated with health; risk based on rank within chain-of-command; and health behaviors amenable to change. We used a voting process tool to prioritize intervention topics. RESULTS: Some health behaviors and outcomes were poor (89% overweight/ obese, 41% poor-quality sleep). We also found favorable health behaviors (annual check-ups) and psychosocial conditions (meaningful work). Some health risks (excessive overtime) were not amenable to change or resisted acknowledgment (poor mental health). The team voted to develop interventions on sleep, mental health, and obesity. CONCLUSIONS: Comprehensive health assessment informed the prioritization process, enabling the team to quickly reach consensus on intervention priorities.
OBJECTIVE: A team of academics and unionized correctional supervisors collaborated to assess workforce health and determine intervention priorities using participatory methods and tools. METHODS: Correctional supervisors took a web-based survey. Univariate and bivariate tests examined attitudes/behaviors, exposures, and outcomes most strongly associated with health; risk based on rank within chain-of-command; and health behaviors amenable to change. We used a voting process tool to prioritize intervention topics. RESULTS: Some health behaviors and outcomes were poor (89% overweight/ obese, 41% poor-quality sleep). We also found favorable health behaviors (annual check-ups) and psychosocial conditions (meaningful work). Some health risks (excessive overtime) were not amenable to change or resisted acknowledgment (poor mental health). The team voted to develop interventions on sleep, mental health, and obesity. CONCLUSIONS: Comprehensive health assessment informed the prioritization process, enabling the team to quickly reach consensus on intervention priorities.
Authors: Martin Cherniack; Jeffrey Dussetschleger; Alicia Dugan; Dana Farr; Sara Namazi; Mazen El Ghaziri; Robert Henning Journal: Appl Ergon Date: 2015-11-02 Impact factor: 3.661
Authors: Jennifer M Cavallari; Jennifer L Garza; Jacqueline M Ferguson; Rick A Laguerre; Ragan E Decker; Adekemi O Suleiman; Alicia G Dugan Journal: Ann Work Expo Health Date: 2021-05-03 Impact factor: 2.179
Authors: Alicia G Dugan; Dana A Farr; Sara Namazi; Robert A Henning; Kelly N Wallace; Mazen El Ghaziri; Laura Punnett; Jeffrey L Dussetschleger; Martin G Cherniack Journal: Am J Ind Med Date: 2016-07-05 Impact factor: 2.214
Authors: Jennifer L Garza; Jacqueline M Ferguson; Alicia G Dugan; Ragan E Decker; Rick A Laguerre; Adekemi O Suleiman; Jennifer M Cavallari Journal: Arch Environ Occup Health Date: 2020-12-18 Impact factor: 1.663
Authors: Adekemi O Suleiman; Ragan E Decker; Jennifer L Garza; Rick A Laguerre; Alicia G Dugan; Jennifer M Cavallari Journal: BMC Public Health Date: 2021-12-08 Impact factor: 3.295