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Biomedical subjects

William H Crown

Publications and source records attributed to William H Crown.

At least 19 recordsLinked to original sources

Utilization and cost of health care services associated with primary malignant brain tumors in the United States.

OBJECTIVES: To evaluate the economic burden of primary malignant brain tumors in a commercially insured population in the United States, and to identify the primary drivers of health care resource use and cost. PATIENTS AND METHODS: A retrospective cohort analysis was performed using a 1998-2000 database containing inpatient, outpatient, and pharmacy claims for employees, their dependents, and early retirees of over 50 large US employers with wide geographic distribution. Patients were followed from first brain tumor diagnosis until death, termination of health benefits coverage, or study end. Controls without any cancer diagnosis were matched at a 3:1 ratio by demographic characteristics and length of follow-up. RESULTS: Patients with malignant brain tumors (n = 653) had significantly greater health service utilization and costs for hospitalizations, emergency room visits, outpatient office visits, laboratory tests, radiology services, and pharmacy-dispensed drugs (all P < 0.05) than did controls (n = 1959). Regression-adjusted mean monthly costs were $6364 for brain tumor patients, compared with $277 for controls (P < 0.0001). The primary cost driver was inpatient care ($4502 per month). Total costs during the study period were $49,242 for those with brain tumors and $2790 for controls (P < 0.0001). CONCLUSION: Patients with malignant brain tumors accrued health care costs that were 20 times greater than demographically matched control subjects without cancer. The costs for inpatient services were the primary drivers of total health resource use. Despite their low incidence, primary malignant brain tumors produce a substantial burden on the US health care system. There is a marked need for improved and new approaches to treatment to reduce the resource use and to offset health care costs associated with this disease.

Brain Neoplasms↗

Burden of pancreatic cancer and disease progression: economic analysis in the US.

OBJECTIVES: The few studies that have estimated the costs of pancreatic cancer were limited by small sample sizes, geography or patient age range. Using a large nationwide claims database, this study examines the cost of pancreatic cancer beginning with initial diagnosis and the additional costs when disease progresses. METHODS: A retrospective cohort study was conducted using a claims database of 3 million individuals covered by large US employers. The study population consisted of patients newly diagnosed with pancreatic cancer in 1999-2000 and a demographically matched control group. Utilization and costs were summarized as monthly means. Changes in cancer severity and treatment over time were used to approximate disease progression and its associated costs. RESULTS: The study included 412 pancreatic cancer patients and 1,236 controls. The mean follow-up time was 7.5 months. Regression-adjusted monthly costs attributable to pancreatic cancer were USD 7,279; over 60% resulted from hospitalizations. Patients with disease progression (over 50%) incurred an additional USD 15,143 per month compared to patients without disease progression. CONCLUSION: Compared to patients without cancer, the costs of pancreatic cancer patients were substantial, especially when patients experienced disease progression. New therapies that prevent or delay disease progression could potentially offset the costs to patients, providers and society.

Adult↗

Medical costs associated with non-Hodgkin's lymphoma in the United States during the first two years of treatment.

OBJECTIVES: To determine the direct costs of medical care associated with aggressive and indolent non-Hodgkin's lymphoma (NHL) in the United States; to show how costs for aggressive NHL change over time by examining costs related to initial, secondary and palliative treatment phases; and to evaluate the economic consequences of treatment failure in aggressive NHL. PATIENTS AND METHODS: A retrospective cohort analysis of 1999 - 2000 direct costs in newly diagnosed NHL patients and controls (subjects without any cancer) was conducted using the MarketScan medical and drug claims database of large employers across the United States. Treatment failure analysis was conducted for aggressive NHL patients, and was defined by the need for secondary treatment or palliative care after initial therapy. Cost of treatment failure was calculated as difference in regression-adjusted costs between patients with initial therapy only and patients experiencing initial treatment failure. RESULTS: Patients with aggressive (n = 356) and indolent (n = 698) NHL had significantly greater health service utilization and associated costs (all P < 05) than controls (n = 1068 for aggressive, n = 2094 for indolent). Mean monthly costs were 5871 dollars for aggressive NHL vs. 355 dollars for controls (P < 0001) and 3833 dollars for indolent NHL vs. 289 dollars for controls (P < 0001). The primary cost drivers were hospitalization (aggressive NHL = 44% of total costs, indolent NHL = 50%) and outpatient office visits (aggressive NHL = 39%, indolent NHL = 34%). For aggressive NHL, mean monthly initial treatment phase costs (10,970 dollars) and palliative care costs (9836 dollars) were higher than costs incurred during secondary phase (3302 dollars). The mean cost of treatment failure in aggressive NHL was 14,174 dollars per month, and 85,934 dollars over the study period. CONCLUSION: The treatment of NHL was associated with substantial health care costs. Patients with aggressive lymphomas tended to accrue higher costs, compared with those with indolent lymphomas. These costs varied over time, with the highest costs occurring during the initial treatment and palliative care phases. Treatment failure was the most expensive treatment pattern. New strategies to prevent or delay treatment failure in aggressive NHL could help reduce the economic burden of NHL.

Female↗

Guidelines for selecting among different types of bootstraps.

BACKGROUND: The bootstrap has become very popular in health economics. Its success lies in the ease of estimating sampling distribution, standard error and confidence intervals with few or no assumptions about the distribution of the underlying population. OBJECTIVE: The purpose of this paper is three-fold: (1) to provide an overview of four common bootstrap techniques for readers who have little or no statistical background; (2) to suggest a guideline for selecting the most applicable bootstrap technique for your data; and (3) to connect guidelines with a real world example, to illustrate how different bootstraps behave in one model, or in different models. RESULTS: The assumptions of homoscedasticity and normality are key to selecting the best bootstrapping technique. These assumptions should be tested before applying any bootstrapping technique. If homoscedasticity and normality hold, then parametric bootstrapping is consistent and efficient. Paired and wild bootstrapping are consistent under heteroscedasticity and non-normality assumptions. CONCLUSION: Selecting the correct type of bootstrapping is crucial for arriving at efficient estimators. Our example illustrates that if we selected an inconsistent bootstrapping technique, results could be misleading. An insignificant effect of controller treatment on total health expenditures among asthma patients would have been found significant and negative by an improperly chosen bootstrapping technique, regardless of the type of model chosen.

Confidence Intervals↗

A framework to evaluate the economic impact of pharmacogenomics.

INTRODUCTION: Pharmacogenomics and personalized medicine promise to improve healthcare by increasing drug efficacy and minimizing side effects. There may also be substantial savings realized by eliminating costs associated with failed treatment. This paper describes a framework using health claims data for analyzing the potential value of pharmacogenomic testing in clinical practice. METHODS: We evaluated a model of alternate clinical strategies using asthma patients' data from a retrospective health claims database to determine a potential cost offset. We estimated the likely cost impact of using a hypothetical pharmacogenomic test to determine a preferred initial therapy. We compared the annualized per patient costs distributions under two clinical strategies: testing all patients for a nonresponse genotype prior to treating and testing none. RESULTS: In the Test All strategy, more patients fall into lower cost ranges of the distribution. In our base case (15% phenotype prevalence, 200 US dollars test, 74% overall first-line treatment efficacy and 60% second-line therapy efficacy) the cost savings per patient for a typical run of the testing strategy simulation ranged from 200 US dollars to 767 US dollars (5th and 95th percentile). Genetic variant prevalence, test cost and the cost of choosing the wrong treatment are key parameters in the economic viability of pharmacogenomics in clinical practice. CONCLUSIONS: A general tool for predicting the impact of pharmacogenomic-based diagnostic tests on healthcare costs in asthma patients suggests that upfront testing costs are likely offset by avoided nonresponse costs. We suggest that similar analyses for decision making could be undertaken using claims data in which a population can be stratified by response to a drug.

Anti-Asthmatic Agents↗

The economic burden of lung cancer and the associated costs of treatment failure in the United States.

The economic burden of lung cancer was examined with a retrospective case-control cohort study on a database containing inpatient, outpatient and drug claims for employees, dependents and retirees of multiple large US employers with wide geographic distribution. Patients were followed for maximum of 2 years from first cancer diagnosis until death, health benefits dis-enrollment or study end (31 December 2000). Compared with controls (subjects without any cancer), patients with lung cancer (n = 2040) had greater health care service utilization and costs for hospitalization, emergency room visits, outpatient office visits, radiology procedures, laboratory procedures and pharmacy-dispensed drugs (all P < 0.05). Regression-adjusted mean monthly total costs were US dollar 6520 for patients versus US dollar 339 for controls (P < 0.0001), and overall costs across the study period (from diagnosis to death or maximum of 2 years) were US dollar 45,897 for patients and US dollar 2907 for controls (P < 0.0001). The main cost drivers were hospitalization (49.0% of costs) and outpatient office visits (35.2% of costs). Monthly initial treatment phase costs (US dollar 11,496 per patient) were higher than costs during the secondary treatment phase (US dollar 3733) or terminal care phase (US dollar 9399). Failure of initial treatment was associated with markedly increased costs. Compared with patients requiring only initial treatment, patients experiencing treatment failure accrued an additional US dollar 10,370 per month in initial treatment phase costs and US dollar 8779 more per month after starting the secondary and/or terminal care phase. Over the course of the study period, these patients had total costs of US dollar 120,650, compared with US dollar 45,953 for those receiving initial treatment only. Thus, the incremental costs associated with treatment failure were US dollar 19,149 per month and US dollar 74,697 across the study period. Other types of clinical and epidemiological analysis are needed to identify risks for treatment failure. The economic burden of lung cancer on the US health care system is significant and increased prevention, new therapies or adjuvant chemotherapy may reduce both resource use and healthcare costs. New strategies for lung cancer that reduce hospitalizations and/or prevent or delay treatment failure could offset some of the economic burden associated with the disease.

Adolescent↗

Estimating the cost of cancer: results on the basis of claims data analyses for cancer patients diagnosed with seven types of cancer during 1999 to 2000.

PURPOSE: Cancer accounts for 60.9 billion dollars in direct medical costs and 15.5 billion dollars for indirect morbidity costs. These estimates are derived primarily from national surveys or Federal databases. We derive estimates of the costs of cancer using administrative databases, which include claims and employment-related information on individuals insured by private or Medicare supplemental health plans. METHODS: A retrospective matched-cohort control analysis was performed using 1998 to 2000 databases with information on insurance claims, benefits, and health productivity for 3 million privately insured employees, their dependents, and early retirees. Study patients had new diagnoses of one of seven types of cancer (n = 12,709). Controls without cancer were matched at a 3:1 ratio by demographics. A variable follow-up length was used (maximum of 2 years). Direct costs included health care costs for patients and deductibles and copayments for caregivers. Indirect costs of work absence and short-term disability (STD) were calculated for a subgroup of cancer patients and caregivers. RESULTS: Mean monthly health care costs ranged from 2,187 dollars for prostate cancer to 7,616 dollars for pancreatic cancer, most often driven by hospitalization. Costs for controls were 329 dollars per month. Indirect morbidity costs to employees with cancer averaged 945 dollars, a result of a mean monthly loss of 2.0 workdays and 5.0 STD days. CONCLUSION: The economic burden of cancer is substantial. It is feasible to derive tumor-specific estimates of direct and indirect costs for large numbers of cancer patients using administrative databases. Policy makers charged with providing annual cost-of-cancer estimates should incorporate data obtained from a broad range of sources.

Aged↗

Asthma hospitalization risk and costs for patients treated with fluticasone propionate vs montelukast.

BACKGROUND: Inhaled corticosteroids have been shown to reduce rates of hospitalization and emergency department use compared with leukotriene receptor antagonists. OBJECTIVE: To examine differences in the probability of asthma-related hospitalizations, probability of switching or augmentin, with another therapy, and costs for patients treated with fluticasone propionate vs montelukast. METHODS: The study involved a 24-month retrospective analysis of patients with claims for asthma treatment (primary diagnosis International Classification of Disease, Ninth Revision code of 493.xx) between January 1, 1997, and June 30, 2000, and at least I outpatient pharmaceutical claim for fluticasone propionate (44 microg) or montelukast (5 or 10 mg). Univariate and multivariate analyses were used to determine the probability of asthma-related hospitalizations and switching or augmenting to another therapy, asthma costs, and total health care costs. Sensitivity analyses were conducted by replicating all of the analyses by age strata (ages 4-17 years and > or = 18 years) and varying lengths of follow-up. RESULTS: Patients receiving fluticasone propionate had a 62% lower risk of experiencing an asthma-related hospitalization within 1 year and a 44% lower risk of switching or augmenting to another asthma controller medication compared with montelukast. Asthma-related health care expenditures for montelukast patients were dollar 339 higher than for fluticasone propionate users (P < .001). Overall health care expenditures (asthma and nonasthma) were also dollar 1,197 higher in the montelukast group. CONCLUSIONS: Compared with montelukast-treated patients, patients treated with low-dose fluticasone propionate had a significantly lower risk of experiencing an asthma-related hospitalization, a lower risk of switching or augmenting with another controller, and significantly lower asthma and total health care costs.

Acetates↗

The burden of illness associated with psoriasis: cost of treatment with systemic therapy and phototherapy in the US.

OBJECTIVE: To evaluate utilization and direct healthcare expenditures among psoriasis patients treated with systemic therapy and phototherapy in the United States. DESIGN: Cohort study using retrospective administrative medical claims. PATIENTS: Psoriasis patients treated with systemic therapy and phototherapy, as well as a matched cohort of non-psoriasis patients. All patients were covered by employer-sponsored insurance between 1 April 1996 and 31 December 2000. MAIN OUTCOME MEASURES: Estimated risk of hospitalization and total annual healthcare expenditures overall and by comorbidity status were compared for persons with psoriasis using systemic therapy or phototherapy and persons without psoriasis. Annualized utilization rates for hospitalizations, and use of emergency department, outpatient physician, outpatient laboratory, and outpatient pharmaceutical services were also compared across the two cohorts. RESULTS: Seventeen percent of psoriasis patients were treated with systemic therapy or phototherapy. Patients with comorbid anemia, carcinoma, diabetes, depression, GI disorders, hepatotoxicity, hypertension, and nephrotoxicity had significantly higher expenditures than non-psoriasis patients with the same comorbidities (p < or =0.05). Elevated risk of hospitalization also contributed to higher expenditures in patients treated with systemic therapy or phototherapy. Limitations of this study include those inherent in using claims data such as dependence on diagnosis coding, the fact that psoriasis severity cannot be determined directly from claims data, confounding comorbidities, and the fact that only direct healthcare expenditures were considered in this analysis. CONCLUSION: Psoriasis patients treated with systemic therapies/phototherapies have significantly more comorbidities and higher mean total healthcare expenditures compared to non-psoriasis patients. Psoriasis patients with selected comorbidities have significantly higher mean total healthcare expenditures compared to non-psoriasis persons with the same comorbidities.

Adult↗

Benefit plan design and prescription drug utilization among asthmatics: do patient copayments matter?

The ratio of controller-to-reliever medication use has been proposed as a measure of treatment quality for asthma patients. In this study we examine the effects of plan-level mean out-of-pocket asthma medication patient copayments and other features of benefit plan design on the use of controller medications alone, controller and reliever medications (combination therapy), and reliever medications alone. The 1995--2000 MarketScan claims data were used to construct plan-level out-of-pocket copayment and physician/practice prescriber preference variables for asthma medications. Separate multinomial logit models were estimated for patients in fee-for-service (FFS) and non-FFS plans relating benefit plan design features, physician/practice prescribing preferences, patient demographics, patient comorbidities, and county-level income variables to patient-level asthma treatment patterns. We find that the controller-to-reliever ratio rose steadily over 1995--2000, along with out-of-pocket payments for asthma medications, which rose more for controllers than for relievers. After controlling for other variables, however, plan-level mean out-of-pocket copayments were not found to have a statistically significant influence on patient-level asthma treatment patterns. On the other hand, physician/practice prescribing patterns strongly influenced patient-level treatment patterns. There is no strong statistical evidence that higher levels of out-of-pocket copayments for prescription drugs influence asthma treatment patterns. However, physician/practice prescribing preferences influence patient treatment.

Adult↗

The cost consequences of treatment-resistant depression.

CONTEXT: Treatment-resistant depression is a significant public health problem with profound effects on general medical and mental health-related health care costs. OBJECTIVE: To describe health care costs of patients with treatment-resistant depression as their illness progresses, in terms of pharmaceutical and medical expenditures, and to identify factors associated with increasing degrees of treatment resistance. DATA SOURCES: The MEDSTAT MarketScan Private Pay Fee for Service (FFS) Database, a medical and prescription claims database covering over 3.5 million enrollees, from 1995-2000. DESIGN AND STUDY SUBJECTS: 7737 patients with depression (ICD-9) who had 2 or more unsuccessful trials of antidepressant medication at an adequate dose for at least 4 weeks from 1995-2000 were defined as treatment-resistant in this study. Demographic and clinical characteristics were assessed for these patients with treatment-resistant depression. The number of changes in depression medication treatment regimens was used as a proxy for increasing degrees of treatment resistance and its severity. MAJOR OUTCOME MEASURE: Differences in health care expenditures associated with increasing degrees of treatment-resistant depression. RESULTS: Total depression-related and general medical health care expenditures increased significantly as treatment-resistant depression increased in severity. Multivariate analyses of patient demographic characteristics were not associated with ongoing treatment resistance. Disease severity, type of antidepressant at index, comorbid mental health disorders, and membership in a managed health care plan were associated with increasing degrees of treatment resistance. CONCLUSIONS: Depression and general medical health care expenditures increase with the degree of treatment-resistant depression. Disease management interventions for treatment-resistant depression that result in sustained remission early in the course of illness are most likely to be cost effective.

Adult↗

Clinical and economic effects of suboptimally controlled asthma.

Patients with difficult-to-treat or suboptimally controlled asthma consume a disproportionate share of asthma health care resources. Treatment strategies that minimize exacerbations may decrease the need for unscheduled medical services, reduce emergency department visits, and minimize asthma-related hospitalizations. Clinical trial evidence indicates the immunoglobulin-E blocker omalizumab reduces the frequency of asthma exacerbations, minimizes symptoms, and improves lung function in patients with moderate-to-severe asthma that is inadequately controlled by inhaled corticosteroid therapy. Treatment with omalizumab of patients with suboptimally controlled asthma may reduce the clinical and economic burden of asthma.

Adolescent↗

The family impact and costs of migraine.

OBJECTIVE: To obtain information on migraine and its impact on the family, particularly on the healthcare utilization and productivity of family members without migraine. STUDY DESIGN: Retrospective study using linked medical and pharmacy claims data that allowed identification of families and individuals with migraine. PATIENTS AND METHODS: Families with at least 1 migraineur were matched with up to 3 nonmigraineur families on employer, age of migraineur, number of family members, sex, and index date quarter. For a subset of employees, data on short- and long-term disability as well as absenteeism also were evaluated to determine the impact of migraine on these indirect costs. RESULTS: The total healthcare costs of a family with a migraineur were 70% higher than those of the nonmigraine family, with most of the difference concentrated in outpatient costs. The impact of having a migraineur in the family persisted even after controlling for other disorders and demographics in a multivariate model. Total healthcare costs per family depended on which family member was the migraineur, and were about dollars 600 higher when the sole migraineur was a child versus a parent and almost dollars 2500 higher when both a parent and child were affected (compared with families in which the sole migraineur was a child). Work absence days, short-term disability, and workman's compensation days all were higher among migraine families than among families without a migraineur. CONCLUSION: Migraine families incur far higher direct and indirect healthcare costs than nonmigraine families, with variation depending on which family member is the clinically detected migraineur.

Cost of Illness↗

The Schizophrenia Care and Assessment Program Health Questionnaire (SCAP-HQ): an instrument to assess outcomes of schizophrenia care.

Advances in treatment technologies and development of evidence-based standards of care demand better methods for routine assessment of outcomes for schizophrenia in systems of care. This article describes the development and psychometrics of a new instrument to assess outcomes of routine care for persons with schizophrenia in service systems. Candidate items for the Schizophrenia Care and Assessment Program Health Questionnaire (SCAP-HQ) were drawn from existing measures. Domains covered include disease outcomes (symptoms, subjective medication effects, substance abuse), functional status, health status, quality of life, and public safety. A sample of 1,584 patients with schizophrenia or schizoaffective disorder who were recruited into a large prospective, naturalistic study on the course of treatment for schizophrenia completed the SCAP-HQ at baseline and 1 year later (n = 434), providing data for factor analysis, assessment of internal consistency, convergent validity, and responsiveness to change. A subsample of 121 patients completed a test-retest protocol. Fifteen scales were derived by factor analysis from 55 outcome items on the SCAP-HQ. These factors covered psychiatric symptoms, life satisfaction, instrumental activities of daily living, health-related disability, subjective medication side effects, vitality, legal problems, social relations, mental health-related disability, suicidality, drug and alcohol use, daily activities, victimization, violence, and employment. For most scales, standard psychometric parameters, including internal consistency and test-retest reliability, convergent validity, and responsiveness to change, were acceptable for application to large sample evaluations of care systems. This new measure represents an advance in the development of outcome measures for schizophrenia for use in large-scale studies of routine care.

Activities of Daily Living↗

Treating allergic rhinitis in patients with comorbid asthma: the risk of asthma-related hospitalizations and emergency department visits.

BACKGROUND: Although asthma and allergic rhinitis commonly occur together, the nature of the association has yet to be determined. Treatments for one condition could potentially alleviate the coexisting condition. OBJECTIVE: Patients with both allergic rhinitis and asthma were studied to test the hypothesis that treating allergic rhinitis reduces health care utilization for co-morbid asthma. METHODS: A retrospective cohort study was carried out with 1994-1995 MarketScan claims data. The cohort was limited to patients with both allergic rhinitis and asthma, aged 12 to 60 years, who were continuously enrolled and had no evidence of chronic obstructive pulmonary disease. Allergic rhinitis treatment and asthma-related events (hospitalizations and emergency department visits) were identified. An incidence density ratio (IDR) associated with exposure to allergic rhinitis treatment was calculated. A multivariate Poisson regression was estimated, and the parameter estimates were transformed into IDRs for each explanatory variable. An allergic rhinitis treatment indicator was included in all regressions. RESULTS: The study sample population consisted of 4944 patients with allergic asthma, approximately 73% of whom were treated for their allergic rhinitis. Asthma-related events occurred more often for the untreated group compared with the treated group, 6.6% compared with 1.3%. An IDR of 0.49 for the treatment group (P =.001) indicates that the risk of an asthma-related event for the treated group was about half that for the untreated group. CONCLUSION: In summary, those who were treated for allergic rhinitis have a significantly lower risk of subsequent asthma-related events (emergency department visits or hospitalizations) than those who were not treated.

Adolescent↗

The impact of treatment-resistant depression on health care utilization and costs.

BACKGROUND: Approximately 50% of patients diagnosed with major depressive disorder will experience a recurrent or chronic course of illness for which long-term treatment is recommended. Moreover, at least 20% of patients diagnosed with depression do not respond satisfactorily to several traditional antidepressant medication treatment trials. Very little is known about the health care costs of patients with treatment-resistant depression. METHOD: Based on medical claims data (MarketScan Research Database, The MEDSTAT Group, Cambridge, Mass.) from January 1, 1995, to June 30, 2000, a naturalistic, retrospective analysis was conducted to study the characteristics and health care utilization of patients with treatment-resistant depression. All patients having an International Classification of Diseases, Ninth Revision (ICD-9), diagnosis code for unipolar or bipolar depression with specified antidepressant dosing and treatment durations were initially selected. Patients were then classified as "treatment resistant" if either they switched from or augmented initial antidepressant medication with other antidepressants at least twice (outpatient treatment-resistant group) or they switched from or augmented their initial antidepressant medication and also had a claim for either a depression-related hospitalization or suicide attempt (hospitalized treatment-resistant group). Those meeting the initial medication and diagnosis selection criteria but not meeting the treatment-resistance criteria constituted the comparison group. Members of the comparison group had comparatively stable antidepressant medication use patterns, consistent with an acceptable response to treatment. Patients were followed for a minimum of 9 months. Resource utilization was calculated from index date to last available claims data point and then annualized. RESULTS: Treatment-resistant patients were more likely to be diagnosed with bipolar disorder or concurrent substance abuse or anxiety disorders than the comparison group (p <.001). Treatment-resistant patients were at least twice as likely to be hospitalized (general medical and depression related) and had at least 12% more outpatient visits (p <.02). Treatment resistance was also associated with use of 1.4 to 3 times more psychotropic medications (including antidepressants) (p <.001). Patients in the hospitalized treatment-resistant group had over 6 times the mean total medical costs of non-treatment-resistant depressed patients ($42,344 vs. $6512) (p <.001) and their total depression-related costs were 19 times greater than those of patients in the comparison group ($28,001 vs. $1455) (p <.001). CONCLUSION: Treatment-resistant depression is costly and associated with extensive use of depression-related and general medical services. These findings underscore the need for early identification and effective long-term maintenance treatment for treatment-resistant depression.

Adult↗

Treatment costs of venlafaxine and selective serotonin-reuptake inhibitors for depression and anxiety.

In this article, health care expenditures are assessed for patients diagnosed with depression who are being treated with either venlafaxine (immediate or extended release) or a selective serotonin-reuptake inhibitor (SSRI). Patients beginning treatment for a new depressive episode were identified retrospectively from 1994 to 1998. Before beginning therapy, patients prescribed venlafaxine (N = 353) had more nonmental illnesses (0.84 vs. 0.75 clinical events/patient, respectively; P < .01) and hospitalizations for mental illness (0.56 vs. 0.30 hospitalizations/patient; P = .06) than patients prescribed SSRIs (N = 7,330). In the six months after initiating treatment, venlafaxine was associated with lower hospitalization expenditures for nonmental illness than were SSRIs ($206 vs. $472, respectively; P = .02), but total health care expenditures were not significantly different.

Adult↗

A checklist for retrospective database studies--report of the ISPOR Task Force on Retrospective Databases.

INTRODUCTION: Health-related retrospective databases, in particular claims databases, continue to be an important data source for outcomes research. However, retrospective databases pose a series of methodological challenges, some of which are unique to this data source. METHODS: In an effort to assist decision makers in evaluating the quality of published studies that use health-related retrospective databases, a checklist was developed that focuses on issues that are unique to database studies or are particularly problematic in database research. This checklist was developed primarily for the commonly used medical claims or encounter-based databases but could potentially be used to assess retrospective studies that employ other types of databases, such as disease registries and national survey data. RESULTS: Written in the form of 27 questions, the checklist can be used to guide decision makers as they consider the database, the study methodology, and the study conclusions. Checklist questions cover a wide range of issues, including relevance, reliability and validity, data linkages, eligibility determination, research design, treatment effects, sample selection, censoring, variable definitions, resource valuation, statistical analysis, generalizability, and data interpretation. CONCLUSIONS: For many of the questions, key references are provided as a resource for those who want to further examine a particular issue.

Data Interpretation, Statistical↗