BACKGROUND:The morbidity and mortality associated with COPD exacts a considerable economic burden. Comorbidities in COPD are associated with poor health outcomes and increased costs. Our objective was to assess the impact of comorbidities on COPD-associated costs in a large administrative claims dataset.METHODS:This was a retrospective observational study of data from the Truven Health MarketScan Commercial Claims and Encounters and the MarketScan Medicare Supplemental Databases from January 1, 2009, to September 30, 2012. Resource consumption was measured from the index date (date of first occurrence of non-rule-out COPD diagnosis) to 360 days after the index date. Resource use (all-cause and disease-specific [ie, COPD- or asthma-related] ED visits, hospitalizations, office visits, other outpatient visits, and total length of hospital stay) and health-care costs (all-cause and disease-specific costs for ED visits, hospitalizations, office visits, and other outpatient visits and medical, prescription, and total health-care costs) were assessed. Generalized linear models were used to evaluate the impact of comorbidities on total health-care costs, adjusting for age, sex, geographic location, baseline health-care use, employment status, and index COPD medication.RESULTS:Among 183,681 patients with COPD, the most common comorbidities were cardiovascular disease (34.8%), diabetes (22.8%), asthma (14.7%), and anemia (14.2%). Most patients (52.8%) had one or two comorbidities of interest. The average all-cause total health-care costs from the index date to 360 days after the index date were highest for patients with chronic kidney disease ($41,288) and anemia ($38,870). The impact on total health-care costs was greatest for anemia ($10,762 more, on average, than a patient with COPD without anemia).CONCLUSIONS:Our analysis demonstrated that high resource use and costs were associated with COPD and multiple comorbidities.
PurposeThe all-cause readmission rate within 30 days of index admissions for chronic obstructive pulmonary disease (COPD) was approximately 21% in the United States in 2008. This study aimed to examine patient and clinical characteristics predicting 30-day unplanned readmissions for an initial COPD hospitalization and to determine those predictors’ importance.Patients and methodsA retrospective study was conducted in patients with COPD-related hospitalizations using commercial claims data from 2010 to 2012. The primary outcome was all-cause unplanned readmission, with secondary outcomes being COPD as primary diagnosis and COPD as any diagnosis unplanned readmissions. Factors predicting unplanned readmissions encompassed demographic, pharmacy, and medical variables identified at baseline and during the index hospitalization. Dominance analysis was conducted to rank the predictors in terms of importance, defined as the contribution to change in model fit of a predictor by itself and in combination with other predictors.ResultsAfter applying the inclusion and exclusion criteria, 18,282 patients with index COPD-related admissions were identified. Among them, the rates of unplanned readmissions with COPD as primary diagnosis, COPD as any diagnosis, and all-cause were 2.6%, 5.6%, and 7.3%, respectively. For each outcome, the readmission group was slightly older, had a greater COPD severity score, and required a longer length of stay. Moreover, the readmission group had larger proportions of patients with comorbidities, dyspnea/shortness of breath, intensive care unit stay, or ventilator use, compared to the non-readmission group. Dominance analysis revealed that the three most important predictors – heart failure/heart disease, anemia, and COPD severity score – accounted for 56% of the predicted variance in all-cause unplanned readmissions.ConclusionOverall, COPD severity score and heart failure/heart disease emerged as important factors in predicting 30-day unplanned readmissions across all three outcomes. Results from dominance analysis suggest looking beyond COPD-specific complications and focusing on comorbid conditions highly associated with COPD in order to lower all-cause unplanned readmissions.
A pharmacist-led diabetes MMP, combined with a diabetes drug copay waiver, was effective in significantly reducing A1c over a 2-year period for type 2 diabetic patients in this regional health plan.
IntroductionMultiple sclerosis (MS) is an autoimmune disorder with large annual costs. This study evaluated utilization and costs for the management of MS relapses with H.P. Acthar® Gel (repository corticotropin injection; Acthar; Mallinckrodt) compared to receipt of plasmapheresis (PMP) or intravenous immunoglobulin (IVIG) among patients with MS who experienced multiple relapses.MethodsWe identified patients with MS diagnoses who had relapses treated with intravenous methylprednisolone (IVMP), the first-line treatment for MS relapse. Patients who were treated for the subsequent relapses were eligible for the study. We analyzed 12- and 24-month healthcare utilization and costs among patients who received Acthar prescriptions compared to patients who were treated with PMP/IVIG using generalized linear and logistic regression models to calculate unadjusted and adjusted means and 95% confidence intervals.ResultsFor the 12-month analysis, a total of 213 patients received Acthar prescriptions and 226 were treated with PMP or IVIG. Patients who received Acthar prescriptions were similar to those who received other treatments in terms of most demographic variables. Acthar recipients had fewer hospitalizations (0.2 vs. 0.4; P = 0.01) and received fewer outpatient services (29 vs. 43; P < 0.0001) but received more prescription medications (36 vs. 30; P < 0.0001) compared to recipients of PMP/IVIG. Patients who received Acthar prescriptions had lower inpatient and outpatient costs ($15,000 lower; P = 0.001; and $54,000 lower; P < 0.0001, respectively) but similar total costs. Similar results were seen in the cohort with 24 months of outcome data.ConclusionActhar may be a useful treatment option compared to PMP/IVIG for patients with MS experiencing multiple relapses.FundingThis study was funded by a grant to the University of Washington from Mallinckrodt Pharmaceuticals.Electronic supplementary materialThe online version of this article (doi:10.1007/s12325-016-0363-0) contains supplementary material, which is available to authorized users.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.