Economic burden of hospital admissions for patients with acute bacterial skin and skin structure infections in the United States.

Objectives: We estimated the total US hospital costs associated with acute bacterial skin and skin structure infection (ABSSSI) admissions as well as the admissions that may have been potential candidates for outpatient parenteral antimicrobial therapy (OPAT). Methods: We assessed inpatient admissions for ABSSSI from the Premier database (2011-2014), focusing on all admissions of adults with length of stay (LOS) ≥ 1 days and a primary diagnosis of erysipelas, cellulitis/abscess, or wound infection. We performed a detailed analysis of 2014 admissions for patient, treatment, hospital, and economic characteristic variables. Using published selection criteria, we identified a subset of patients admitted in 2014 who may have been potential candidates for OPAT. Results: We analyzed 277,971 admissions. In 2014, most admissions were for cellulitis without major complications or comorbidities; mean ± SD LOS was 4.0 ± 3.0 days, and total hospital cost per admission was $6400 ± $6874, 54% of which was attributable to room costs. Among 2014 admissions, 14% involved patients with clinical characteristics suggesting that they were consistent with guideline recommendations for exclusive treatment with OPAT. Compared with all admissions in the year, these admissions were of younger patients (aged 50 vs. 55 years), admitted more frequently for cellulitis (90% vs. 70%), with shorter LOS (2.8 ± 1.8 days), and lower mean total hospital cost per admission ($4080 ± $3066). Conclusions: Admissions for ABSSSI impose a substantial cost to US hospitals, with half of costs attributable to room costs. When extrapolated to all US patients admitted to the hospital for ABSSSI during 2014, had OPAT guidelines been universally followed, admissions may have been reduced by 14%, thereby saving US hospitals $161 million.

Performance of claims-based algorithms for identifying incident thyroid cancer in commercial health plan enrollees receiving antidiabetic drug therapies.

BACKGROUND: Thyroid cancer incidence is increasing in the United States (US) and many other countries. The objective of this study was to develop and evaluate algorithms using administrative medical claims data for identification of incident thyroid cancer. METHODS: This effort was part of a prospective cohort study of adults initiating therapy on antidiabetic drugs and used administrative data from a large commercial health insurer in the US. Patients had at least 6 months of continuous enrollment prior to initiation during 2009-2013, with follow-up through March, 2014 or until disenrollment. Potential incident thyroid cancers were identified using International Classification of Diseases, 9th Revision (ICD-9) diagnosis code 193 (malignant neoplasm of the thyroid gland). Medical records were adjudicated by a thyroid cancer specialist. Several clinical variables (e.g., hospitalization, treatments) were considered as predictors of case status. Positive predictive values (PPVs) and 95% confidence intervals (CIs) were calculated to evaluate the performance of two primary algorithms. RESULTS: Charts were requested for 170 patients, 150 (88%) were received and 141 (80%) had sufficient information to adjudicate. Of the 141 potential cases identified using ≥1 ICD-9 diagnosis code 193, 72 were confirmed as incident thyroid cancer (PPV of 51% (95% CI 43-60%)). Adding the requirement for thyroid surgery increased the PPV to 68% (95% CI 58-77%); including the presence of other therapies (chemotherapy, radio-iodine therapy) had no impact. When cases were required to have thyroid surgery during follow-up and ≥2 ICD-9 193 codes within 90 days of this surgery, the PPV was 91% (95% CI 81-96%); 62 (82%) of the true cases were identified and 63 (91%) of the non-cases were removed from consideration by the algorithm as potential cases. CONCLUSIONS: These findings suggest a significant degree of misclassification results from relying only on ICD-9 diagnosis codes to detect thyroid cancer. An administrative claims-based algorithm was developed that performed well to identify true incident thyroid cancer cases.

A comparison of data sources for the surveillance of work-related carpal tunnel syndrome in Massachusetts.

BACKGROUND: This study examined whether a state surveillance system for work-related carpal tunnel syndrome (WR-CTS) based on workers' compensation claims (Sentinel Event Notification System for Occupational Risks, SENSOR) and the Annual Survey of Occupational Injuries and Illnesses (SOII) identified the same industries, occupations, sources of injury, and populations for intervention. METHODS: Trends in counts, rates, and female/male ratios of WR-CTS during 1994-1997, and age distributions were compared across three data sources: SENSOR, Massachusetts SOII, and National SOII. SENSOR and National SOII data on WR-CTS were compared by industry, occupation, and injury source. FINDINGS: Due to small sample size and subsequent gaps in available information, state SOII data on WR-CTS were of little use in identifying specific industries and occupations for intervention. SENSOR and National SOII data on the frequency of WR-CTS cases identified many similar occupations and industries, and both surveillance systems pointed to computer use as a risk factor for WR-CTS. Some high rate industries identified by SENSOR were not identified using National SOII rates even when national findings were restricted to take into account the distribution of the Massachusetts workforce. CONCLUSIONS: Use of national SOII data on rates of WR-CTS for identifying state industry priorities for WR-CTS prevention should be undertaken with caution. Options for improving state SOII data and use of other state data systems should be pursued.