Characteristics of hip fracture patients with and without muscle atrophy/weakness: predictors of negative economic outcomes.

OBJECTIVE: Hip fractures have negative humanistic and economic consequences. Predictors and sub-groups of negative post-fracture outcomes (high costs and extensive healthcare utilization) were identified in patients with and without muscle atrophy/weakness (MAW). METHODS: Truven Health MarketScan data identified patients ≥50 years old with inpatient hospitalizations for hip fracture. Patients had ≥12 months of continuous healthcare insurance prior to and following index hospitalization and no hip fracture diagnoses between 7 days and 1 year prior to admission. Predictors and sub-groups of negative outcomes were identified via multiple logistic regression analyses and classification and regression tree (CART) analyses, respectively. RESULTS: Post-fracture 1-year all-cause healthcare costs (USD$31,430) were higher than costs for the prior year ($18,091; p < 0.0001). Patients with MAW had greater post-fracture healthcare utilization and costs than those without MAW (p < 0.05). Greater post-fracture costs were associated with a higher number of prior hospitalizations and emergency room visits, length of index hospitalization, Charlson Comorbidity Index (CCI), and discharge status; diagnosis of rheumatoid arthritis, osteoarthritis, or osteoporosis; and prior use of antidepressants, anticonvulsants, muscle relaxants, benzodiazepines, opioids, and oral corticosteroids (all p < 0.009). High-cost patient sub-groups included those with MAW and high CCI scores. CONCLUSIONS: Negative post-fracture outcomes were associated with MAW vs no MAW, prior hospitalizations, comorbidities, and medications.

Retrospective database study to assess the economic impact of hip fracture in the United Kingdom.

OBJECTIVE: Publications containing recent, real-world data on the economic impact of hip fractures in the UK are lacking. This retrospective electronic medical records database analysis assessed medication and healthcare resource use, direct healthcare costs, and factors predicting increased resource use and costs in adult UK hip fracture patients. METHODS: Data were obtained from the Clinical Practice Research Datalink linked to the Hospital Episode Statistics for adult patients hospitalized for their first hip fracture between January 1, 2006 and March 31, 2011 (index event); healthcare costs were calculated from the National Health Service perspective using 2011-2012 cost data. RESULTS: Data from 8028 patients were analyzed. Resource use and costs were statistically significantly higher in the year following fracture (mean total [standard deviation (SD)] cost £7359 [£14,937]) compared with the year before fracture (mean total [SD] cost £3122 [£9435]; p < 0.001), and were similar to the total amount of the index hospitalization (mean total [SD] cost £8330 [£2627]). Multivariate regression analysis (using an estimated generalized linear model) showed that older age, male gender, higher comorbidity, osteoporosis, discharge to another institution compared with home, and pre-index hospitalization and outpatient visits were associated with increased post-index hospitalization healthcare costs (all p < 0.05). CONCLUSIONS: Although we did not capture all pre- and post-index costs and healthcare utilization, this study provides important insights regarding the characteristics of patients with hip fracture, and information that will be useful in burden-of-illness and economic analyses.

Economic burden of osteoporosis-related fractures in Medicaid.

OBJECTIVE: There are limited studies concerning the economic burden of osteoporosis in the Medicaid population. This study estimated the direct cost of osteoporosis-related fractures (OPFx) to state Medicaid budgets. METHODS: This retrospective analysis utilized Medicaid claims databases from three states, which included approximately 8 million Medicaid recipients. The study sample had at least one claim for an osteoporosis diagnosis (733.0x) between January 1, 2000 and December 31, 2001. Beneficiaries with a fracture and a diagnosis of osteoporosis were assigned to the case cohort. A propensity score-based matching method was used to select a cohort of controls with osteoporosis but without a fracture. An exponential conditional mean model was used to estimate the incremental annual cost associated with fractures. RESULTS: The study cohort (n = 7626) and a 1:1 matched control group were identified. The study cohort was 85.8% female, had an average age of 65 years, were 53.2% white, and 48.9% were eligible for Medicare. There were significant increases (all P < 0.05) from the preperiod to study period for this cohort in the proportion that had at least one hospital admission (14.0% vs. 26.5%), nursing home admission (9.2% vs. 17.2%), home health (39.1% vs. 49.3%), or emergency room visit (21.3% vs. 31.9%). In contrast, the control cohort had very little increase in utilization. The regression-adjusted incremental cost for osteoporosis-related expenses in the year after fracture was estimated at $4007 per patient. The estimated incremental cost was $5370 for the subset of patients who were eligible for Medicare. CONCLUSION: The economic burden of osteoporosis-related fractures on state Medicaid budgets is substantial.

Assessing the economic impact of chronic conditions in postmenopausal women.

The ageing of the US population and the recognised importance of preventative care has led to a growing body of research regarding the morbidity and mortality associated with chronic diseases in postmenopausal women. According to the National Institute of Health, postmenopausal women have a significant increase in risk for a number of debilitating diseases, including osteoporosis, breast cancer and cardiovascular disease. In addition, recently published studies prompted patients, clinicians and payers to re-examine the risks and benefits of a well-accepted therapy to treat postmenopausal symptoms. The objective of this paper is to provide a framework for assessing the economic impact of disorders affecting postmenopausal women, with a particular focus on osteoporosis, breast cancer and cardiovascular disease. This framework considers the prevalence of these conditions, the profiles of women suffering from each of them and prevailing patterns of treatment for these disorders. Taken together, these factors are used to analyse the overall economic impact of postmenopausal disorders and to provide an expert opinion in this context.