Tracking spending among commercially insured beneficiaries using a distributed data model.

OBJECTIVES: To explore the feasibility of using a distributed data model for ongoing reporting of local healthcare spending, specifically to investigate the contribution of utilization and pricing to geographic variation and trends in reimbursements for commercially insured beneficiaries younger than 65 years. STUDY DESIGN: Retrospective descriptive analysis. METHODS: Commercial claims were obtained for beneficiaries in 5 states for the years 2008 to 2010 using a distributed data model. Claims were aggregated to the hospital service area (HSA) level and healthcare utilization was quantified using a novel, National Quality Forum-endorsed measure that is independent of price and allows for the calculation of resource use across all services in standardized units. We examined trends in utilization, prices, and reimbursements over time. To examine geographic variation, we mapped resource use by HSA in the 3 states from which we had data from multiple insurers. We calculated the correlation between commercial and Medicare reimbursements and utilization. Medicare claims were obtained from the Dartmouth Atlas. RESULTS: We found that much of the recent growth in reimbursements for the commercially insured from 2008 to 2010 was due to increases in prices, particularly for outpatient services. As in the Medicare population, resource use by this population varied by HSA. While overall resource use patterns in the commercially insured did not mirror those among Medicare beneficiaries, we observed a strong correlation in inpatient hospital use. CONCLUSIONS: This research demonstrates the feasibility and value of public reporting of standardized area-level utilization and price data using a distributed data model to understand variation and trends in reimbursements.

Reported dose as a measure of drug exposure after paracetamol overdose in children.

The decision to administer antidote after paracetamol overdose is based on the extent of drug exposure, and this often relies on the reported dose. Few data exist concerning the validity of this approach in children. The present observational study sought to examine the relationship between the reported dose and paracetamol concentrations in patients aged ≤18 years admitted to York Hospital between October 2008 and November 2010 inclusive. There were 77 cases and casenotes were evaluable in 61, with median age 14 years (IQR 3-15 years), and weight 54.0 kg (18.2-63.5 kg), including 47 females (71%). Paracetamol dose was 83 mg/kg (57-148 mg/kg), and interval between ingestion and serum concentration was 4.5 hours (4.0-5.4 hours). There was a positive correlation between dose and equivalent 4-hour paracetamol concentration: Spearman's rho=0.57, 95% CI 0.36-0.73, P< 0.0001. These findings support the importance of reported dose as part of initial risk assessment, especially in situations where laboratory determination is unhelpful, such as after a staggered ingestion.

Comparative drug dose and drug combinations in patients that present to hospital due to self-poisoning.

Self-poisoning is a common reason for acute presentation to hospital. Commonly involved drugs have been reported, but few data exist concerning the different combinations of agents or comparative doses ingested. The present study sought to better characterise the typical patterns of drug overdose that may present via the emergency department. Consecutive adults ≥16 years of age that presented to York Hospital owing to self-poisoning were studied for 2010-2011 inclusive. The primary outcome measure was reported dose, expressed as a multiple of the defined daily dose (DDD) to allow comparison between different agents. There were 1024 patients, including 622 women (60.7%), and median age was 32 years (range, 16 to 92 years). Overdose in men was associated with a higher overall quantity of drugs: arithmetic mean of 20 DDD multiples (95% CI, 15-26) versus 13 (11-15), p = 0.001. Overdose involved a single agent only in 538 patients (52.5%). The mean paracetamol dose was 4.0 (95% CI, 3.7-4.3) DDD multiples; the doses of antidepressants (19.4, 17.0-21.7, p < 0.0001) and benzodiazepines (18.0, 12.8-23.2, p < 0.0001) were comparatively higher. The types of agents involved in self-poisoning and common combinations of agents are characterised. Psychotropic medications were ingested in comparatively larger quantities than analgesic agents and had worse clinical outcome. Further work is required to understand the factors that determine the quantity of drug ingested in patients at risk of drug overdose so as to minimise the risk of significant toxicity.