Jennifer E DeVoe1, Moira Ray, Lisa Krois, Matthew J Carlson. 1. Oregon Health and Science University, Department of Family Medicine, 3181 Sam Jackson Park Road, Mailcode: FM, Portland, OR 97239, USA. devoej@ohsu.edu
Abstract
BACKGROUND AND OBJECTIVES: The State Children's Health Insurance Program (SCHIP) has improved insurance coverage rates. However, children's enrollment status in SCHIP frequently changes, which can leave families with uncertainty about their children's coverage status. We examined whether insurance uncertainty was associated with unmet health care needs. METHODS: We compared self-reported survey data from 2,681 low-income Oregon families to state administrative data and identified children with uncertain coverage. We conducted cross-sectional multivariate analyses using a series of logistic regression models to test the association between uncertain coverage and unmet health care needs. RESULTS: The health insurance status for 13.2% of children was uncertain. After adjustments, children in this uncertain "gray zone" had higher odds of reporting unmet medical (odds ratio [OR] =1.73; 95% confidence interval [CI]=1.07, 2.79), dental (OR=2.41; 95% CI=1.63, 3.56), prescription (OR=1.64, 95% CI=1.08, 2,48), and counseling needs (OR=3.52; 95% CI=1.56, 7.98), when compared with publicly insured children whose parents were certain about their enrollment status. CONCLUSIONS: Uncertain children's insurance coverage was associated with higher rates of unmet health care needs. Clinicians and educators can play a role in keeping patients out of insurance gray zones by (1) developing practice interventions to assist families in confirming enrollment and maintaining coverage and (2) advocating for policy changes that minimize insurance enrollment and retention barriers.
BACKGROUND AND OBJECTIVES: The State Children's Health Insurance Program (SCHIP) has improved insurance coverage rates. However, children's enrollment status in SCHIP frequently changes, which can leave families with uncertainty about their children's coverage status. We examined whether insurance uncertainty was associated with unmet health care needs. METHODS: We compared self-reported survey data from 2,681 low-income Oregon families to state administrative data and identified children with uncertain coverage. We conducted cross-sectional multivariate analyses using a series of logistic regression models to test the association between uncertain coverage and unmet health care needs. RESULTS: The health insurance status for 13.2% of children was uncertain. After adjustments, children in this uncertain "gray zone" had higher odds of reporting unmet medical (odds ratio [OR] =1.73; 95% confidence interval [CI]=1.07, 2.79), dental (OR=2.41; 95% CI=1.63, 3.56), prescription (OR=1.64, 95% CI=1.08, 2,48), and counseling needs (OR=3.52; 95% CI=1.56, 7.98), when compared with publicly insured children whose parents were certain about their enrollment status. CONCLUSIONS: Uncertain children's insurance coverage was associated with higher rates of unmet health care needs. Clinicians and educators can play a role in keeping patients out of insurance gray zones by (1) developing practice interventions to assist families in confirming enrollment and maintaining coverage and (2) advocating for policy changes that minimize insurance enrollment and retention barriers.
Authors: Jennifer S Haas; Lisa B Lee; Celia P Kaplan; Dean Sonneborn; Kathryn A Phillips; Su-Ying Liang Journal: Am J Public Health Date: 2003-12 Impact factor: 9.308
Authors: Pamela R Wood; Lauren A Smith; Diana Romero; Patrick Bradshaw; Paul H Wise; Wendy Chavkin Journal: Am J Public Health Date: 2002-09 Impact factor: 9.308
Authors: Heather Angier; Sonja Likumahuwa; Sean Finnegan; Trisha Vakarcs; Christine Nelson; Andrew Bazemore; Mark Carrozza; Jennifer E DeVoe Journal: J Am Board Fam Med Date: 2014 Nov-Dec Impact factor: 2.657
Authors: Laura A Makaroff; Imam M Xierali; Stephen M Petterson; Scott A Shipman; James C Puffer; Andrew W Bazemore Journal: Ann Fam Med Date: 2014 Sep-Oct Impact factor: 5.166
Authors: Jennifer E Devoe; Carrie J Tillotson; Lorraine S Wallace; Sarah E Lesko; Heather Angier Journal: J Pediatr Health Care Date: 2011-03-02 Impact factor: 1.812
Authors: Allison Casciato; Heather Angier; Christina Milano; Nicholas Gideonse; Rachel Gold; Jennifer DeVoe Journal: J Am Board Fam Med Date: 2012 Sep-Oct Impact factor: 2.657
Authors: Jennifer E DeVoe; Megan Hoopes; Christine A Nelson; Deborah J Cohen; Aleksandra Sumic; Jennifer Hall; Heather Angier; Miguel Marino; Jean P O'Malley; Rachel Gold Journal: BMC Health Serv Res Date: 2018-05-10 Impact factor: 2.655
Authors: Ju Young Kim; Dae In Kim; Hwa Yeon Park; Yuliya Pak; Phap Ngoc Hoang Tran; Truc Thanh Thai; Mai Thi Thanh Thuy; Do Van Dung Journal: Int J Environ Res Public Health Date: 2020-08-31 Impact factor: 3.390