William N Dowd1, Jeremy W Bray, Carolina Barbosa, Krista Brockwood, David J Kaiser, Michael J Mills, David A Hurtado, Brad Wipfli. 1. Research Triangle Institute, Behavioral Health Services, Policy, and Economics Program, Research Triangle Park, North Carolina (Mr Dowd, Mr Kaiser, Mr Mills); Department of Economics, University of North Carolina at Greensboro, Greensboro, North Carolina (Dr Bray); Research Triangle Institute, Behavioral Health Services, Policy, and Economics Program, Chicago, Illinois (Dr Barbosa); Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, Oregon (Dr Brockwood, Dr Hurtado); OHSU-PSU School of Public Health, Portland, Oregon, and Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, Oregon (Dr Wipfli).
Abstract
OBJECTIVE: To estimate the cost and return on investment (ROI) of an intervention targeting work-family conflict (WFC) in the extended care industry. METHODS: Costs to deliver the intervention during a group-randomized controlled trial were estimated, and data on organizational costs-presenteeism, health care costs, voluntary termination, and sick time-were collected from interviews and administrative data. Generalized linear models were used to estimate the intervention's impact on organizational costs. Combined, these results produced ROI estimates. A cluster-robust confidence interval (CI) was estimated around the ROI estimate. RESULTS: The per-participant cost of the intervention was $767. The ROI was -1.54 (95% CI: -4.31 to 2.18). The intervention was associated with a $668 reduction in health care costs (P < 0.05). CONCLUSIONS: This paper builds upon and expands prior ROI estimation methods to a new setting.
RCT Entities:
OBJECTIVE: To estimate the cost and return on investment (ROI) of an intervention targeting work-family conflict (WFC) in the extended care industry. METHODS: Costs to deliver the intervention during a group-randomized controlled trial were estimated, and data on organizational costs-presenteeism, health care costs, voluntary termination, and sick time-were collected from interviews and administrative data. Generalized linear models were used to estimate the intervention's impact on organizational costs. Combined, these results produced ROI estimates. A cluster-robust confidence interval (CI) was estimated around the ROI estimate. RESULTS: The per-participant cost of the intervention was $767. The ROI was -1.54 (95% CI: -4.31 to 2.18). The intervention was associated with a $668 reduction in health care costs (P < 0.05). CONCLUSIONS: This paper builds upon and expands prior ROI estimation methods to a new setting.
Authors: Erin L Kelly; Phyllis Moen; J Michael Oakes; Wen Fan; Cassandra Okechukwu; Kelly D Davis; Leslie Hammer; Ellen Kossek; Rosalind Berkowitz King; Ginger Hanson; Frank Mierzwa; Lynne Casper Journal: Am Sociol Rev Date: 2014-06-01
Authors: Erin L Kelly; Ellen Ernst Kossek; Leslie B Hammer; Mary Durham; Jeremy Bray; Kelly Chermack; Lauren A Murphy; Dan Kaskubar Journal: Acad Manag Ann Date: 2008-08