Effects of a Flexibility/Support Intervention on Work Performance: Evidence From the Work, Family, and Health Network.

PURPOSE: To estimate the effects of a workplace initiative to reduce work-family conflict on employee performance. DESIGN: A group-randomized multisite controlled experimental study with longitudinal follow-up. SETTING: An information technology firm. PARTICIPANTS: Employees randomized to the intervention (n = 348) and control condition (n = 345). INTERVENTION: An intervention, "Start. Transform. Achieve. Results." to enhance employees' control over their work time, to increase supervisors' support for this change, and to increase employees' and supervisors' focus on results. METHODS: We estimated the effect of the intervention on 9 self-reported employee performance measures using a difference-in-differences approach with generalized linear mixed models. Performance measures included actual and expected hours worked, absenteeism, and presenteeism. RESULTS: This study found little evidence that an intervention targeting work-family conflict affected employee performance. The only significant effect of the intervention was an approximately 1-hour reduction in expected work hours. After Bonferroni correction, the intervention effect is marginally insignificant at 6 months and marginally significant at 12 and 18 months. CONCLUSION: The intervention reduced expected working time by 1 hour per week; effects on most other employee self-reported performance measures were statistically insignificant. When coupled with the other positive wellness and firm outcomes, this intervention may be useful for improving employee perceptions of increased access to personal time or personal wellness without sacrificing performance. The null effects on performance provide countervailing evidence to recent negative press on work-family and flex work initiatives.

Cost and Return on Investment of a Work-Family Intervention in the Extended Care Industry: Evidence From the Work, Family, and Health Network.

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.

Sleep Disturbance from Road Traffic, Railways, Airplanes and from Total Environmental Noise Levels in Montreal.

The objective of our study was to measure the impact of transportation-related noise and total environmental noise on sleep disturbance for the residents of Montreal, Canada. A telephone-based survey on noise-related sleep disturbance among 4336 persons aged 18 years and over was conducted. LNight for each study participant was estimated using a land use regression (LUR) model. Distance of the respondent's residence to the nearest transportation noise source was also used as an indicator of noise exposure. The proportion of the population whose sleep was disturbed by outdoor environmental noise in the past 4 weeks was 12.4%. The proportion of those affected by road traffic, airplane and railway noise was 4.2%, 1.5% and 1.1%, respectively. We observed an increased prevalence in sleep disturbance for those exposed to both rail and road noise when compared for those exposed to road only. We did not observe an increased prevalence in sleep disturbance for those that were both exposed to road and planes when compared to those exposed to road or planes only. We developed regression models to assess the marginal proportion of sleep disturbance as a function of estimated LNight and distance to transportation noise sources. In our models, sleep disturbance increased with proximity to transportation noise sources (railway, airplane and road traffic) and with increasing LNight values. Our study provides a quantitative estimate of the association between total environmental noise levels estimated using an LUR model and sleep disturbance from transportation noise.

An Examination of the Workflow Processes of the Screening, Brief Intervention, and Referral to Treatment (SBIRT) Program in Health Care Settings.

INTRODUCTION: Screening, Brief Intervention, and Referral to Treatment (SBIRT) is a public health program used to identify, reduce, and prevent problematic use, abuse, and dependence on alcohol and illicit drugs that has been adapted for implementation in emergency departments and ambulatory clinics nationwide. METHODS: This study used a combination of observational, timing, and descriptive analyses from a multisite evaluation to understand the workflow processes implemented in 21 treatment settings. Direct observations of 59 SBIRT practitioners and semi-structured interviews with 170 stakeholders, program administrators, practitioners, and program evaluators provided information about workflow in different medical care settings. RESULTS: The SBIRT workflow processes are presented at three levels: service delivery, information storage, and information sharing. Analyses suggest limited variation in the overall workflow processes across settings, although performance sites tailored the program to fit with existing clinical processes, health information technology, and patient characteristics. Strategies for successful integration include co-locating SBIRT providers in the medical care setting and integrating SBIRT data into electronic health records. CONCLUSIONS: Provisions within the Patient Protection and Affordable Care Act of 2010 call for the integration of behavioral health and medical care services. SBIRT is being adapted in different types of medical care settings, and the workflow processes are being adapted to ensure efficient delivery, illustrating the successful integration of behavioral health and medical care.