Medicaid Coverage Interruption Increases Risk of Preventable Hospitalizations
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چکیده
Model. The primary exposure variable was a timevarying covariate that indicated whether a beneficiary had expe rienced an interruption of Medicaid coverage in the prior month. Confounders adjusted for in the model included demographic characteristics, type of Medicaid coverage (ie, Temporary Assistance to Needy Families [TANF], Supple mental Security Income [SSI], or other), nonMedicaid forms of insurance, managed care enrollment, number of hospital izations, and comorbidity composite scores. The lifetable technique was used to analyze the probability of hospitaliza tion over time for ACSC among beneficiaries with continu ous versus interrupted coverage. Cox proportional hazards models were constructed to create a hazard ratio associated with interrupted Medicaid coverage.
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