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ImportanceAccess to vision care is vital to diagnose and treat vision impairment and diseases. Previous studies found that currently uninsured adults have limited access to vision care. It is unclear whether a recent history (past 12 months) of gaps in insurance coverage likewise adversely affects access to vision care.ObjectiveTo determine whether gaps in insurance coverage within the past 12 months are associated with higher risk of unmet needs for vision care among adults in Ohio.Design, Setting, and ParticipantsThis cross-sectional study analyzed data for adults in Ohio from the 2021 Ohio Medicaid Assessment Survey (OMAS), which is conducted via web, telephone, and mail. Participants were residents 19 years or older who reported needing vision care or eyeglasses within the past 12 months.ExposuresInsurance coverage over the past 12 months, classified as continuous private, continuous public, gap in coverage, or year-round uninsured.Main Outcomes and MeasureSelf-reported unmet need for vision care over the past 12 months.ResultsBased on a sample of 19 036 participants, we calculated that 4% of adults experienced recent coverage gaps (weighted total in the population, 180 259 of 4 518 841) while another 4% were year-round uninsured (187 552 adults). Unmet needs for vision care were reported by 13% (590 015 adults). On multivariable logistic regression, adults with gaps in coverage were at a higher risk of unmet vision care needs compared with adults who had continuous private coverage (odds ratio [OR], 2.9; 95% CI, 2.1-3.9; P < .001) or continuous public coverage (OR, 1.7; 95% CI, 1.3-2.4; P = .001).Conclusions and RelevanceThis study found that gaps in health insurance coverage were associated with increased risk of unmet vision care needs among adults in Ohio compared with continuous private or public coverage. Policies that protect the continuity of health insurance coverage may help reduce the rate of unmet needs for vision care.

Caregiver-reported data on children’s health are typically provided by mothers. We investigated whether measures of children’s health would significantly differ between mother and father respondents to a nationally representative survey. This study used de-identified data on children age 0 to 17 years from the 2016-2019 National Survey of Children’s Health (NSCH). The primary exposure was whether the survey was completed by the child’s father (cases) or mother (controls). Outcome variables included general health, special health care needs (SHCN), and unmet health care needs. We identified 85 191 children meeting inclusion criteria, of whom 35.1% had a father respondent. After propensity score matching, 27 738 children with a father respondent were matched to an equal size group of children with a mother respondent. On conditional logistic regression analysis of the matched sample, we found that poor health, SHCN, and unmet health care needs were less likely to be reported for children in the sample by father respondents.