Measuring complete diagnostic evaluation in colorectal cancer screening.

Complete diagnostic evaluation, or CDE (i.e., a colonoscopy or combined barium enema X-ray and flexible sigmoidoscopy) is recommended for individuals who have an abnormal screening fecal occult blood test result. Accurate measures of CDE use are needed in colorectal cancer (CRC) screening programs. This study compares the sensitivity and specificity of different methods for measuring CDE recommendation and performance. We identified 17 primary-care practices with 120 patients who had a positive fecal occult blood test result in a CRC screening program operated by a managed-care organization. Approaches used to measure CDE recommendation and performance included external chart audit (ECA) only; internal chart audit (ICA) only; administrative data review (ADR) of electronic claims data; ICA plus ADR; and ECA plus ADR (the "gold standard"). Sensitivity and specificity of each method were assessed relative to CDE recommendation and performance as measured by ECA plus ADR. For CDE recommendation, sensitivity measures were ECA only, 0.926; ICA only, 0.790; ADR only, 0.617; and ICA plus ADR, 0.901. The specificity of each method for CDE recommendation was no less than 0.95. In terms of CDE performance, sensitivity measures were ECA only, 0.877; ICA only, 0.790; ADR only, 0.877; and ICA plus ADR, 0.965. The specificity of each method for CDE performance was 1.0. The ICA-plus-ADR method was a highly sensitive and specific measure of CDE use. This method should be considered in situations that involve primary-care physician follow-up of patients with abnormal CRC screening test results.

Preventive service utilisation as a predictor for emergency dental examinations.

OBJECTIVE: To quantify the relationship between receipt of routine dental care and the use of non-trauma related emergency dental services. DESIGN: A multiple logistic regression was run on administrative dental claim and encounter data. The model dependent variable was the use of non-trauma related emergency dental care. Predictors included previous year oral examinations, radiographs, dental cleanings and, as a control, member age. SETTING: Administrative data were obtained from a dental health maintenance organisation located in the state of Texas. SUBJECTS: Claim and encounter data for 2,947 insured members were used, representing experience from 1995 through 1996. OUTCOME MEASURES: The outcome of interest was the use of non-trauma related emergency dental services. RESULTS: Results demonstrated empirically that those who availed themselves of preventive dental services were significantly less likely to use non-trauma related emergency services (P<0.01). The probability of needing non-trauma related dental services in 1996 was 42.7% lower among those who had an examination in 1995 when compared with those who did not. When analysed in a simple logistic regression, dental cleanings in 1995 were also significantly associated with a decreased probability of needing non-trauma related emergency services. However, this relationship did not hold in the controlled model, which was probably due to multicollinearity. CONCLUSIONS: This study provides evidence of the value of periodic preventive dental examinations and services. Those who receive such services are less likely to use non-trauma related emergency dental services.

Pharmaceutically-based severity stratification of an asthmatic population.

Algorithms designed to precisely identify disease severity for a given patient within a managed care population are helpful in organizing targeted interventions. These algorithms are also attracting considerable attention within the medical research community. Several health risk screening instruments have been developed; however, these involve survey methodologies and have several shortcomings. We present a valid and efficient method for predicting healthcare resource utilization among asthmatics in an Health Maintenance Organization (HMO) population. First, various diagnosis, procedure and pharmacy billing codes were used to identify the asthmatics within the database. The screening algorithm awards points each time one of these codes is identified for an HMO member. By varying the number of points necessary to consider a patient asthmatic, the sensitivity, specificity, positive and negative predictive values of the algorithm can be adjusted. Once identified as asthmatic, subjects were then stratified into severity levels based on pharmacy data. Severity stratification was validated directly by measuring asthma-related bed days utilized during the 12 months following the date of stratification. Our identification algorithm estimated an asthma prevalence of 3.84% within the studied population, with age-specific prevalence estimates that closely mirrored previously published survey data. There was a monotonic relationship between pharmacy severity levels and inpatient resource utilization. For example, asthmatics in severity level 1 used only 92 hospital days per 1000 asthmatics in the year following characterization, while those in levels 2-5 used 133, 156, 277 and 1168 hospital days (P < 0.001), respectively. Results from this model can be used as adjusters in other predictive models or stand alone to represent a patient's severity of illness.

Measuring the quality of inpatient health care.

A validated case mix and severity adjusted performance measurement system and methodology are presented. Using this methodology in a user-friendly interactive interface, those who are interested in the performance of a hospital or providers within a hospital can easily identify areas for quality improvement.