Document Type : Original Article
                            
                        
                                                    Authors
                            
                                                            
                                                                            1
                                                                        Harvard Center for Population & Development Studies, Cambridge, MA, USA                                
                                                            
                                                                            2
                                                                        The University of Kansas Medical Center, Department of Health Policy and Management, Kansas City, KS, USA                                
                                                            
                                                                            3
                                                                        Department of Biobehavioral Health, Pennsylvania State University, State College, PA, USA                                
                                                            
                                                                            4
                                                                        Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA                                
                                                            
                                                                            5
                                                                        Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA                                
                                                            
                                                                            6
                                                                        Department of Public Policy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA                                
                                                            
                                                                            7
                                                                        RTI International, Research Triangle Park, NC, USA                                
                                                            
                                                                            8
                                                                        Department of Economics, University of North Carolina Greensboro, Greensboro, NC, USA                                
                                                            
                                                                            9
                                                                        Harvard Center for Population and Development Studies, T.H. Chan Harvard School of Public Health, Cambridge, MA, USA                                
                            
                                                                            
                        
                        
                            Abstract
                            Background
 While a large literature links psychosocial workplace factors with health and health behaviors, there is very little work connecting psychosocial workplace factors to healthcare utilization.
  
 Methods
 Survey data were collected from two different employers using computer-assisted telephone interviewing as a part of the Work-Family Health Network (2008-2013): one in the information technology (IT) service industry and one that is responsible for a network of long-term care (LTC) facilities. Participants were surveyed four times at six month intervals. Responses in each wave were used to predict utilization in the following wave. Four utilization measures were outcomes: having at least one emergency room (ER)/Urgent care, having at least one other healthcare visit, number of ER/urgent care visits, and number of other healthcare visits. Population-averaged models using all four waves controlled for health and other factors associated with utilization.
  
 Results
 Having above median job demands was positively related to the odds of at least one healthcare visit, odds ratio [OR] 1.37 (P < .01), and the number of healthcare visits, incidence rate ratio (IRR) 1.36 (P < .05), in the LTC sample. Work-to-family conflict was positively associated with the odds of at least one ER/urgent care visit in the LTC sample, OR 1.15 (P < .05), at least one healthcare visit in the IT sample, OR 1.35 (P < .01), and with more visits in the IT sample, IRR 1.35 (P < .01). Greater schedule control was associated with reductions in the number of ER/urgent care visits, IRR 0.71 (P < .05), in the IT sample.
  
 Conclusion
 Controlling for other factors, some psychosocial workplace factors were associated with future healthcare utilization. Additional research is needed.
                        
                        
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