• Am J Manag Care · Jun 2020

    Health care resource utilization among patients with T2D and cardiovascular-, heart failure-, or renal-related hospitalizations.

    • Srinivas Annavarapu, Sabyasachi Ghosh, Yong Li, Chad Moretz, Sharashchandra Shetty, and Todd Prewitt.
    • Humana Healthcare Research Inc, 515 Market St, Louisville, KY 40202. Email: yli4@humana.com.
    • Am J Manag Care. 2020 Jun 1; 26 (6): e166-e171.

    ObjectivesIn patients with type 2 diabetes (T2D), comorbidity-related hospitalizations can have significant impact on longitudinal care. This study aimed to estimate incremental all-cause health care resource utilization (HCRU) and costs between patients with T2D who experienced cardiovascular (CV)-, heart failure (HF)-, or renal-related hospitalizations vs those who did not.Study DesignThis was a retrospective cohort study using data from a large national health plan.MethodsPatients with T2D aged 18 to 90 years with CV, HF, or renal hospitalizations were identified from the Humana claims database from October 1, 2009, to September 30, 2015, and separated into CV, HF, and renal cohorts. Patients had 12 months of continuous enrollment prior to the date of first hospitalization (index) and were followed for up to 12 months. Per-patient per-month (PPPM) all-cause HCRU and costs for hospitalized patients were compared with those of no-CV, no-HF, and no-renal cohorts. Differences in baseline characteristics between cohorts were controlled for using generalized linear models.ResultsA total of 221,229, 68,126, and 120,105 patients were included in the CV, HF, and renal cohorts, respectively; these patients were older and had higher Deyo-Charlson Comorbidity Index scores than patients in the no-CV, no-HF, and no-renal cohorts. Adjusted for baseline covariates, they had higher mean PPPM inpatient stays, outpatient visits, emergency department visits, and total health care costs.ConclusionsAmong patients with T2D, concurrent CV, HF, or renal events present significant disease burden leading to poor quality of life. This information can be used to guide disease management strategies and interventions aimed at reducing comorbidity-related hospitalizations and health care costs, thus providing improved quality of life for these patients.

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