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Spatial and stochastic simulation to compare two emergency-vaccination strategies with a marker vaccine in the 1997/1998 Dutch Classical Swine Fever epidemic.

Two alternative emergency-vaccination strategies with a marker vaccine that could have been applied in the 1997/1998 Dutch Classical Swine Fever (CSF) epidemic were evaluated in a modified spatial, temporal and stochastic simulation model: InterCSF. In strategy 1, vaccination would be applied only to overcome a shortage in destruction capacities. Destruction of all pigs on vaccinated farms distinguishes this strategy from strategy 2, which assumes intra-Community trade of vaccinated pig meat. InterCSF simulates the spread of CSF between farms through local spread and three contact types. Disease spread is affected by control measures implemented through different mechanisms. Economic results were generated by a separate model that calculated the direct costs (including the vaccination costs) and consequential losses for farmers and related industries subjected to control measures. The comparison (using epidemiological and economic results) between the different emergency-vaccination strategies with an earlier simulated preventive-slaughter scenario led to some general conclusions on the Dutch CSF epidemic. Both emergency-vaccination strategies were hardly more efficient than the non-vaccination scenario. The intra-Community trade strategy (vaccination-strategy 2) was the least costly of all three scenarios.

Animals↗

Hypertension in patients presenting with epistaxis.

STUDY OBJECTIVE: We sought to evaluate whether patients with epistaxis in the emergency department have a higher arterial blood pressure compared with patients with other medical emergencies and to study the association of elevated blood pressure during epistaxis with sustained arterial hypertension. METHODS: In a prospective, cross-sectional, prevalence study we compared arterial blood pressure on admission in the ED in 213 consecutive patients treated for epistaxis with that of 213 sex- and age-matched control subjects. In 33 of those patients with elevated blood pressure during epistaxis, we evaluated the prevalence of sustained arterial hypertension. Main outcome measures were arterial blood pressure during epistaxis and evidence of sustained arterial hypertension, as determined by 24-hour ambulatory blood pressure measurement. RESULTS: Patients with epistaxis had significantly higher blood pressure values compared with those of control patients (systolic blood pressure 161+/-30 versus 144+/-22 mm Hg, P<.001; diastolic blood pressure 84+/-19 versus 75+/-15 mm Hg, P <.001). Of 33 (30%) of 108 patients with elevated blood pressure during epistaxis who were further evaluated, 26 (79%) patients were classified as having sustained arterial hypertension. Nine (27%) patients with sustained arterial hypertension were unaware of a history of hypertension. Patients with sustained arterial hypertension had significantly more episodes of epistaxis compared with patients with elevated blood pressure during epistaxis and no sustained arterial hypertension (mean 5 versus 1; P=.004). CONCLUSION: Patients with epistaxis have a higher blood pressure compared with that of control patients. Twenty-six (79%) of 33 patients with elevated blood pressure during epistaxis had sustained arterial hypertension. Nine (27%) of these patients were unaware of a history of hypertension. Continued management of patients with epistaxis and high blood pressure should include confirmation or exclusion of sustained arterial hypertension by 24-hour ambulatory blood pressure recording.

Aged↗

Follow-up compliance after emergency department evaluation.

STUDY OBJECTIVE: To identify factors associated with outpatient follow-up of emergency department visits. DESIGN: A retrospective review of 587 ED charts meeting strict criteria was performed. The following variables were identified: method used to arrange follow-up, age, sex, consultant contacts, distance from patient's residence to hospital, previous physician, recommended time to clinic return, and funding source. Compliance was assessed using the outpatient registration computer data base. SETTING: ED and outpatient clinics of an urban university teaching hospital. PARTICIPANTS: Inclusion criteria were age between 18 and 75 years, patient released to outpatient care, and instructions specifying a university hospital clinic or ED follow-up and a time period within which this appointment was to occur. Follow-up options included patients being asked to return to the ED on a specific day (group 1), being given a specific clinic appointment (group 2), or being given the clinic telephone number and instructed to call for an appointment (group 3). RESULTS: Compliance rates, defined as follow-up within seven days of the recommended date, were group 1, 51%; group 2, 65%; and group 3, 46%. Significant confounding factors adversely affecting follow-up as determined by multiple logistic regression analysis were decreasing age (P < .05), absence of insurance (P < .01), and no ED consultation with follow-up clinic physician (P < .01). Controlling for these factors and the reason for follow-up showed that having the patient schedule their own follow-up was associated with poor follow-up compliance (P < .001). CONCLUSION: Compliance with follow-up is multifactorial. Consultant contact at the time of initial patient evaluation and provision of a return visit appointment at the time of ED release should improve compliance in a university hospital setting.

Adolescent↗

Use of an ER audit to build recommendations for improving quality of care. Part II: Follow-up to an ER study.

Two years after presentation of recommendations to improve the quality and efficiency of the Emergency Room (ER), we systematically examined changes in the ER with respect to volumes, triage status, and waiting times. We also interviewed 10 key informants about their perceptions of the level of implementation of the recommendations. The results suggested that while some progress had been made, there was still considerable room for improvement and further recommendations were needed. The study highlights the importance of the follow-up process and the need for ongoing quality improvement in the ER.

Analysis of Variance↗

Caveat doctor: how to analyze claims-based report cards.

"Report cards" based on claims (billing) data are being widely used to evaluate the quality of care given by providers, even though they often lack sufficient clinical detail to render definitive judgments. Furthermore, their accuracy, especially for outpatient care, is quite variable. Nevertheless, claims data will continue to be used until better clinical information becomes widely available. To determine the suitability of automated claims data for measuring clinical performance, careful attention should be paid to the integrity of the data. Providers profiled by claims-based report cards should ask four questions about the source, robustness, management, and analysis of the data: 1. What are the key characteristics of the data set used to construct the profile? These include the insurer's name, coverage type, time period, geographic area, and number of patients, claims lines, and providers. 2. What clinical conditions and events are being measured and how well? In short, are the patients' conditions and their clinical encounters reasonably well characterized? 3. Is the information about the patients and providers accurate and up to date? 4. Once the insurer receives the medical claim, are data elements deleted or altered in ways that might affect their accuracy and completeness? Ensuring data integrity is not sufficient; the analysis of the data must be scrutinized. Potential pitfalls in analyzing claims data arise in choosing clinically meaningful measures, recognizing important differences in patients and their providers, and making fair comparisons against appropriate benchmarks. Monitoring patient care outcomes is no longer voluntary. By routinely constructing and augmenting profiles using outpatient claims data, provider groups become proactive rather than reactive in evaluating their patients' care.

Benchmarking↗

Clinical and economic outcomes in the hypertension and COPD arms of a multicenter outcomes study.

OBJECTIVE: To evaluate the impact of pharmaceutical care on selected clinical and economic outcomes in patients with hypertension or chronic obstructive pulmonary disease (COPD) in ambulatory care settings. DESIGN: Clinic patients with hypertension or COPD were randomly assigned to a treatment group (pharmaceutical care) or a control group (traditional pharmacy care) over a six-month period. Clinical pharmacists and pharmacy residents conducted the protocols. There were 133 evaluable patients (63 treatment and 70 control) in the hypertension study arm and 98 evaluable patients (43 treatment and 55 control) in the COPD study arm. SETTING: 10 Departments of Veterans Affairs medical centers and 1 academic medical center. INTERVENTIONS: Patient-centered pharmaceutical care model (employing standardized care) implemented by clinical pharmacy residents. MAIN OUTCOME MEASURES: Patient knowledge, medication compliance, and health resource use. RESULTS: The hypertension treatment group had a significantly greater reduction in systolic blood pressure from visit 1 to visit 5 than did the control group. In the COPD study arm, trends were positive in the treatment group for patients ratings of symptom interference with activities and dyspnea measures. There was a significant difference between the hypertension treatment and control group for compliance. There were no significant changes in compliance scores in the COPD study arm. Mean number of hospitalizations and other health care provider visits was higher for the hypertension control group. For patients with COPD, hospitalizations increased in the control group, and the number of other health care provider visits was higher in the control group. CONCLUSION: Pharmacists' participation in a pharmaceutical care program resulted in disease state improvement in ambulatory patients with hypertension and COPD.

Aged↗

The stability of the factor structure of the General Health Questionnaire.

BACKGROUND: Different versions of the General Health Questionnaire (GHQ), including the GHQ-12 and GHQ-28 have been subjected to factor analysis in a variety of countries. The World Health Organization study of psychological disorders in general health care offered the opportunity to investigate the factor structure of both GHQ versions in 15 different centres. METHODS: The factor structures of the GHQ-12 and GHQ-28 extracted by principal component analysis were compared in participating centres. The GHQ-12 was completed by 26,120 patients and 5,273 patients completed the GHQ-28. The factor structure of the GHQ-28 found in Manchester in this study was compared with that found in the earlier study in 1979. RESULTS: For the GHQ-12, substantial factor variation between centres was found. After rotation, two factors expressing depression and social dysfunction could be identified. For the GHQ-28, factor variance was less. In general, the original C (social dysfunction) and D (depression) scales of the GHQ-28 were more stable than the A (somatic symptoms) and B (anxiety) scales. Multiple cross-loadings occurred in both versions of the GHQ suggesting correlation of the extracted factors. In Manchester, the factor structure of the GHQ had changed since its development. Validity as a case detector was not affected by factor variance. CONCLUSIONS: These findings confirm that despite factor variation for the GHQ-12, two domains, depression and social dysfunction, appear across the 15 centres. In the scaled GHQ-28, two of the scales were remarkably robust between the centres. The cross-correlation between the other two subscales, probably reflects the strength of the relationship between anxiety and somatic symptoms existing in different locations.

Asia↗

The Consensus Development Program. Detecting changes in medical practice following a consensus conference on the treatment of prostate cancer.

The treatment of prostate cancer was reviewed at a U.S. National Institutes of Health Consensus Development Conference in June 1987. Data from the U.S. National Cancer Institute's Surveillance, Epidemiology, and End Results tumor registries were analyzed and showed that the proportion of eligible prostate cancer patients receiving the recommended therapies did not increase at a faster rate after the conference than before.

Aged↗

Who's better not best: appropriate probabilistic uncertainty analysis.

The use of probabilistic analysis as a means for analyzing uncertainty within economic analysis has grown in popularity in recent years as it has been recognized as the most complete method for propagating uncertainty with respect to input parameters in terms of uncertainty about outcomes of interest. The World Health Organization (WHO) in a series of recent reports and publications have recognized the role of probabilistic analysis in what they term generalized cost-effectiveness analysis. However, there are fundamental problems with the analysis and the interpretation of such analysis as proposed by WHO. This study highlights three specific points for concern and offers constructive criticism by recommending more appropriate approaches.

Canada↗