BACKGROUND: Patients receive care in safety net clinics regardless of insurance status; however, receipt of diabetes preventive care might vary among patients with differing levels of insurance continuity. METHODS: In a retrospective cohort study, using electronic health record data from adults with diabetes who were receiving care in 50 safety net clinics in Oregon in 2005 to 2007, we conducted adjusted logistic regressions to model the associations between amount of time with insurance and rates of receipt of lipid screening, influenza vaccination, nephropathy screening (urine microalbumin), and HbA1c (glycohemoglobin) screening. RESULTS: Of 3384 adults with diabetes, 711 were partially insured (covered 1% to 99% of the 3-year study period), 909 had no coverage, and 1764 were continuously insured. In adjusted models, persons with partial or no coverage during the 3-year study period were less likely to receive most preventive services compared with those with continuous coverage. We found no evidence of a dose-response relationship with increasing duration of coverage, nor of a threshold amount of partial coverage, associated with better receipt of care. CONCLUSIONS: Safety net clinic patients need both access to primary care and continuous insurance. All patients with partial coverage, regardless of the extent of time with insurance, had lower odds of receiving preventive care.
BACKGROUND:Patients receive care in safety net clinics regardless of insurance status; however, receipt of diabetes preventive care might vary among patients with differing levels of insurance continuity. METHODS: In a retrospective cohort study, using electronic health record data from adults with diabetes who were receiving care in 50 safety net clinics in Oregon in 2005 to 2007, we conducted adjusted logistic regressions to model the associations between amount of time with insurance and rates of receipt of lipid screening, influenza vaccination, nephropathy screening (urine microalbumin), and HbA1c (glycohemoglobin) screening. RESULTS: Of 3384 adults with diabetes, 711 were partially insured (covered 1% to 99% of the 3-year study period), 909 had no coverage, and 1764 were continuously insured. In adjusted models, persons with partial or no coverage during the 3-year study period were less likely to receive most preventive services compared with those with continuous coverage. We found no evidence of a dose-response relationship with increasing duration of coverage, nor of a threshold amount of partial coverage, associated with better receipt of care. CONCLUSIONS: Safety net clinic patients need both access to primary care and continuous insurance. All patients with partial coverage, regardless of the extent of time with insurance, had lower odds of receiving preventive care.
Authors: Jennifer E Devoe; Rachel Gold; Patti McIntire; Jon Puro; Susan Chauvie; Charles A Gallia Journal: Ann Fam Med Date: 2011 Jul-Aug Impact factor: 5.166
Authors: Kenton Voorhees; Douglas H Fernald; Caroline Emsermann; Linda Zittleman; Peter C Smith; Bennett Parnes; Kathy Winkelman; John M Westfall Journal: J Am Board Fam Med Date: 2008 Jul-Aug Impact factor: 2.657
Authors: Steffani R Bailey; Jean P O'Malley; Rachel Gold; John Heintzman; Sonja Likumahuwa; Jennifer E DeVoe Journal: J Am Board Fam Med Date: 2013 Nov-Dec Impact factor: 2.657
Authors: Jennifer E DeVoe; Miguel Marino; Rachel Gold; Megan J Hoopes; Stuart Cowburn; Jean P O'Malley; John Heintzman; Charles Gallia; K John McConnell; Christine A Nelson; Nathalie Huguet; Steffani R Bailey Journal: Ann Fam Med Date: 2015 Jul-Aug Impact factor: 5.166
Authors: Brigit A Hatch; Carrie J Tillotson; Nathalie Huguet; Megan J Hoopes; Miguel Marino; Jennifer E DeVoe Journal: Am J Prev Med Date: 2019-08 Impact factor: 5.043
Authors: Miguel Marino; Steffani R Bailey; Rachel Gold; Megan J Hoopes; Jean P O'Malley; Nathalie Huguet; John Heintzman; Charles Gallia; K John McConnell; Jennifer E DeVoe Journal: Am J Prev Med Date: 2015-10-23 Impact factor: 5.043
Authors: Stuart Cowburn; Matthew Carlson; Jodi Lapidus; John Heintzman; Steffani Bailey; Jennifer DeVoe Journal: Am J Public Health Date: 2014-07-17 Impact factor: 9.308