OBJECTIVE: Anemia is a common hematological disorder characterized by reduced hemoglobin concentrations. Despite information on prevalence and associated outcomes, little is known about the impact of anemia on health care utilization and costs. This study examines anemia prevalence and associated medical costs and utilization, using administrative claims for adults newly diagnosed with anemia, including up to 12 months of follow-up. METHODS: Patients predisposed to anemia, based on selected comorbid conditions (chronic kidney disease, human immunodeficiency virus, rheumatoid arthritis, inflammatory bowel disease, congestive heart failure, and solid-tumor cancers), were identified. Costs for anemic patients and a random sample of nonanemic patients with these conditions were compared. Associations were evaluated after adjustment for potential confounders using a regression model. Clinical care patterns were examined overall and by condition. RESULTS: Anemia was observed in 3.5% (81,423) of approximately 2.3 million health plan members in 2000; 15% of anemic patients received an identified treatment, with transfusion being the most frequent intervention. Utilization and costs were significantly higher for anemic patients (P < 0.001). Average annualized per-patient costs were 14,535 US dollars for anemic patients (55% outpatient, 33% inpatient, 13% pharmacy), 54% higher than the 9,451 US dollars average cost for nonanemic patients (45% outpatient, 36% inpatient, 19% pharmacy). After adjustment for age, other comorbidities (e.g., chronic kidney disease and cancer), sex, and insurance type (indemnity, preferred provider organization/point of service, or health maintenance organization, in the Medstat MarketScan database), anemic patients had average costs that were more than twice the adjusted costs of nonanemic patients. CONCLUSION: Medical costs for anemic patients are as much as twice those for nonanemic patients with the same comorbid conditions.
OBJECTIVE:Anemia is a common hematological disorder characterized by reduced hemoglobin concentrations. Despite information on prevalence and associated outcomes, little is known about the impact of anemia on health care utilization and costs. This study examines anemia prevalence and associated medical costs and utilization, using administrative claims for adults newly diagnosed with anemia, including up to 12 months of follow-up. METHODS:Patients predisposed to anemia, based on selected comorbid conditions (chronic kidney disease, human immunodeficiency virus, rheumatoid arthritis, inflammatory bowel disease, congestive heart failure, and solid-tumor cancers), were identified. Costs for anemicpatients and a random sample of nonanemic patients with these conditions were compared. Associations were evaluated after adjustment for potential confounders using a regression model. Clinical care patterns were examined overall and by condition. RESULTS:Anemia was observed in 3.5% (81,423) of approximately 2.3 million health plan members in 2000; 15% of anemicpatients received an identified treatment, with transfusion being the most frequent intervention. Utilization and costs were significantly higher for anemicpatients (P < 0.001). Average annualized per-patient costs were 14,535 US dollars for anemicpatients (55% outpatient, 33% inpatient, 13% pharmacy), 54% higher than the 9,451 US dollars average cost for nonanemic patients (45% outpatient, 36% inpatient, 19% pharmacy). After adjustment for age, other comorbidities (e.g., chronic kidney disease and cancer), sex, and insurance type (indemnity, preferred provider organization/point of service, or health maintenance organization, in the Medstat MarketScan database), anemicpatients had average costs that were more than twice the adjusted costs of nonanemic patients. CONCLUSION: Medical costs for anemicpatients are as much as twice those for nonanemic patients with the same comorbid conditions.
Authors: Ioannis E Koutroubakis; Claudia Ramos-Rivers; Miguel Regueiro; Efstratios Koutroumpakis; Benjamin Click; Marc Schwartz; Jason Swoger; Leonard Baidoo; Jana G Hashash; Arthur Barrie; Michael A Dunn; David G Binion Journal: Inflamm Bowel Dis Date: 2015-07 Impact factor: 5.325
Authors: Bruce A Feinberg; Amanda S Bruno; Sally Haislip; James Gilmore; Gagan Jain; Joanna L Whyte Journal: J Oncol Pract Date: 2012-01 Impact factor: 3.840
Authors: Alessia A Galbussera; Sara Mandelli; Stefano Rosso; Roberto Zanetti; Marianna Rossi; Adriano Giacomin; Paolo Detoma; Emma Riva; Mauro Tettamanti; Matteo G Della Porta; Ugo Lucca Journal: PLoS One Date: 2021-12-31 Impact factor: 3.240
Authors: Shelby D Reed; Yanhong Li; Stephen J Ellis; John J Isitt; Sunfa Cheng; Kevin A Schulman; David J Whellan Journal: J Card Fail Date: 2012-10 Impact factor: 5.712