Showing papers by "Philip S. Wang published in 2001"

The prevalence and correlates of untreated serious mental illness.

Abstract: OBJECTIVE: To identify the number of people in the United States with untreated serious mental illness (SMI) and the reasons for their lack of treatment. DATA SOURCE/STUDY DESIGN: The National Comorbidity Survey; cross-sectional, nationally representative household survey. DATA COLLECTION: An operationalization of the SMI definition set forth in the Alcohol, Drug Abuse, and Mental Health Administration Reorganization Act identified individuals with SMI in the 12 months prior to the interview. The presence of SMI then was related to the use of mental health services in the past 12 months. PRINCIPAL FINDINGS: Of the 6.2 percent of respondents who had SMI in the year prior to interview, fewer than 40 percent received stable treatment. Young adults and those living in nonrural areas were more likely to have unmet needs for treatment. The majority of those who received no treatment felt that they did not have an emotional problem requiring treatment. Among those who did recognize this need, 52 percent reported situational barriers, 46 percent reported financial barriers, and 45 percent reported perceived lack of effectiveness as reasons for not seeking treatment. The most commonly reported reason both for failing to seek treatment (72 percent) and for treatment dropout (58 percent) was wanting to solve the problem on their own. CONCLUSIONS: Although changes in the financing of services are important, they are unlikely by themselves to eradicate unmet need for treatment of SMI. Efforts to increase both self-recognition of need for treatment and the patient centeredness of care also are needed.

Performance of Comorbidity Scores to Control for Confounding in Epidemiologic Studies using Claims Data

Abstract: Comorbidity is an important confounder in epidemiologic studies. The authors compared the predictive performance of comorbidity scores for use in epidemiologic research with administrative databases. Study participants were British Columbia, Canada, residents aged >or=65 years who received angiotensin-converting enzyme inhibitors or calcium channel blockers at least once during the observation period. Six scores were computed for all 141,161 participants during the baseline year (1995-1996). Endpoints were death and health care utilization during a 12-month follow-up (1996-1997). Performance was measured by using the c statistic ranging from 0.5 for chance prediction of outcome to 1.0 for perfect prediction. In logistic regression models controlling for age and gender, four scores based on the International Classification of Diseases, Ninth Revision (ICD-9) generally performed better at predicting 1-year mortality (c = 0.771, c = 0.768, c = 0.745, c = 0.745) than medication-based Chronic Disease Score (CDS)-1 and CDS-2 (c = 0.738, c = 0.718). Number of distinct medications used was the best predictor of future physician visits (R(2) = 0.121) and expenditures (R(2) = 0.128) and a good predictor of mortality (c = 0.745). Combining ICD-9 and medication-based scores improved the c statistics (1.7% and 6.2%, respectively) for predicting mortality. Generalizability of results may be limited to an elderly, predominantly White population with equal access to state-funded health care.

The effects of chronic medical conditions on work loss and work cutback.

Abstract: Although work performance has become an important outcome in cost-of-illness studies, little is known about the comparative effects of different commonly occurring chronic conditions on work impairment in general population samples. Such data are presented here from a large-scale nationally representative general population survey. The data are from the MacArthur Foundation Midlife Development in the United States (MIDUS) survey, a nationally representative telephone-mail survey of 3032 respondents in the age range of 25 to 74 years. The 2074 survey respondents in the age range of 25 to 54 years are the focus of the current report. The data collection included a chronic-conditions checklist and questions about how many days out of the past 30 each respondent was either totally unable to work or perform normal activities because of health problems (work-loss days) or had to cut back on these activities because of health problems (work-cutback days). Regression analysis was used to estimate the effects of conditions on work impairments, controlling for sociodemographics. At least one illness-related work-loss or work-cutback day in the past 30 days was reported by 22.4% of respondents, with a monthly average of 6.7 such days among those with any work impairment. This is equivalent to an annualized national estimate of over 2.5 billion work-impairment days in the age range of the sample. Cancer is associated with by far the highest reported prevalence of any impairment (66.2%) and the highest conditional number of impairment days in the past 30 (16.4 days). Other conditions associated with high odds of any impairment include ulcers, major depression, and panic disorder, whereas other conditions associated with a large conditional number of impairment days include heart disease and high blood pressure. Comorbidities involving combinations of arthritis, ulcers, mental disorders, and substance dependence are associated with higher impairments than expected on the basis of an additive model. The effects of conditions do not differ systematically across subsamples defined on the basis of age, sex, education, or employment status. The enormous magnitude of the work impairment associated with chronic conditions and the economic advantages of interventions for ill workers that reduce work impairments should be factored into employer cost-benefit calculations of expanding health insurance coverage. Given the enormous work impairment associated with cancer and the fact that the vast majority of employed people who are diagnosed with cancer stay in the workforce through at least part of their course of treatment, interventions aimed at reducing the workplace costs of this illness should be a priority.

Hazardous benzodiazepine regimens in the elderly: effects of half-life, dosage, and duration on risk of hip fracture.

Abstract: OBJECTIVE: While benzodiazepine treatment is known to increase the risk of hip fracture in older populations, controversy persists over which characteristics of benzodiazepine use (e.g., elimination half-life, dosage, duration of use) are most associated with such risks. METHOD: The authors reviewed the health care utilization data of 1,222 hip fracture patients and 4,888 comparison patients frequency matched on the basis of age and gender (all were at least 65 years old). Patients were enrolled in Medicare as well as in the New Jersey Medicaid or Pharmaceutical Assistance to the Aged and Disabled programs. Benzodiazepine use, as well as other covariates, were assessed before the index date (which was either the date of hospital admission for hip fracture surgical repair or, for the comparison subjects, a randomly assigned, frequency-matched date). RESULTS: All benzodiazepine doses ≥3 mg/day in diazepam equivalents significantly increased the adjusted risk of hip fracture by 50%. Significantly increased a...

Zolpidem Use and Hip Fractures in Older People

Abstract: Objectives The widespread use of sedative-hypnotics in older populations makes it imperative to identify hazardous regimens that should be avoided and safer regimens that may be used preferentially by older people. Although benzodiazepines have been shown to increase fall and fracture risk, zolpidem, a nonbenzodiazepine hypnotic, has been advocated as a safer alternative. Design Case-control study of hip fracture cases and controls in 1994. Setting All subjects were age 65 and older and enrolled in Medicare, and in Medicaid or the Pharmaceutical Assistance to the Aged and Disabled program of New Jersey. Participants Cases (n=1,222) were patients who underwent surgical repair of a hip fracture. They were frequency-matched to four controls (n=4,888) based on age and gender. Measurements Use of sedative-hypnotics and other medications was assessed in the 180 days before the index event. We assessed other covariates, including demographic, clinical, and healthcare utilization variables in the prior 180 days. Results Zolpidem use was associated with a significant increased risk of hip fracture (adjusted odds ratio (AOR) 1.95; 95% confidence interval (CI)=1.09-3.51). Other psychotropic medication classes with significantly increased risks included benzodiazepines (AOR 1.46; 95% CI=1.21-1.76), antipsychotic medications (AOR 1.61; 95% CI=1.29-2.01), and antidepressants (AOR 1.46; 95% CI=1.22-1.75). In subanalyses, preferential use of zolpidem by subjects at greater risk of hip fracture did not appear to explain the apparent risk of hip fracture with zolpidem use. Conclusion Use of zolpidem by older people was associated with nearly twice the risk of hip fracture, even after controlling for possible demographic and clinical confounders. Rather than being a safer alternative, zolpidem may be associated with risks that are as great as those seen with conventional benzodiazepines in older patients.

Predictors of Uncontrolled Hypertension in Ambulatory Patients

Abstract: Hypertension remains poorly controlled in the United States. Improvement of its management will require an understanding of the patient characteristics and treatment factors associated with uncontrolled hypertension. We studied antihypertensive medication use, comorbidity, and blood pressure measurements for 525 hypertensive patients in 3 different healthcare systems over a 1-year period. We concomitantly conducted comprehensive patient interviews covering demographic factors, knowledge of hypertension and its treatment, and medication side effects. Ordinal logistic regression was used to identify factors associated with poor blood pressure control. Mean age of the patients was 65+/-11 years. Mean systolic blood pressure (SBP) was 143+/-15 mm Hg; and mean diastolic blood pressure (DBP), 80+/-9 mm Hg. Only 39% (203/525) of patients had mean blood pressure 160 mm Hgand/or DBP >100 mm Hg). Multivariate analysis revealed several independent predictors of poor control: older age, multi-drug regimens, lack of knowledge by the patient of their target SBP, and a report of antihypertensive drug side effects. Patients with angina had a higher likelihood of adequate blood pressure control. Fewer than 40% of the treated patients studied had a mean blood pressure

Detecting suicide risk in a pediatric emergency department: development of a brief screening tool.

Abstract: Objective. To develop a brief screening tool that will allow emergency department (ED) staff to rapidly and accurately detect suicide risk in child and adolescent patients. Design. Cross-sectional survey. Participants. One hundred forty-four children and adolescents, mean age of 13.6 years, presenting to an urban university teaching hospital pediatric ED for primarily psychiatric reasons. Data Collection. As part of a quality improvement initiative, we developed a 14-item screening survey (the Risk of Suicide Questionnaire [RSQ]) that was administered by a triage nurse to all pediatric mental health patients on admission to the ED. All patients were subsequently administered the 30-item Suicide Ideation Questionnaire (SIQ) by a mental health clinician, which served as the criterion standard assessment of suicidality. Other information collected included demographic and clinical characteristics. Main Outcome Measures. Sensitivity, specificity, positive predictive value, negative predictive value (NPV), and area under the receiver operating characteristic curve for responses to individual and combinations of RSQ items, relative to determinations of suicidality by the criterion standard SIQ. Results. Four of the items from the RSQ had a predictive c statistic of 0.87, a sensitivity of 0.98, and a NPV of 0.97. Little improvement in predictive ability was obtained by including other RSQ items (c statistic for the most predictive 4-item model = 0.87; cstatistic for the model containing all 14 items = 0.90). Among all possible combinations of 4 RSQ items, the combination of items inquiring about current suicidal behavior, past suicidal ideation, past self-destructive behavior, and current stressors yielded the highest sensitivity (0.98), NPV (0.97), and c statistic (0.87), as assessed by the criterion standard SIQ. Conclusions. A brief 4-item screening tool can be used by nonmental health clinicians to accurately detect suicidality in children and adolescents who visit an ED. Early and accurate identification of suicidality is a critical first step that could lead to better treatment and improved health outcomes for children and adolescents with mental health concerns.

Finding incident breast cancer cases through US claims data and a state cancer registry.

Abstract: Objective: With the increasing availability of automated health-care data, new methods are available to screen large populations for the presence of cancer diagnoses. However, it is crucial to evaluate how completely incident cancer cases can be ascertained using these data sources. Methods: We used capture–recapture techniques to estimate the total number of incident breast cancer cases occurring within one state during a 3-year period. We then compared the ascertainment of these cases by the following two data sources: claims for breast cancer surgery recorded in Medicaid and Medicare data vs a cancer registry in the same state. Results: Medicaid–Medicare breast cancer surgery claims identified 68% of the total estimated number of incident breast cancer cases while cancer registry data identified 78%. Case ascertainment improved markedly to 91% when both registry and Medicare–Medicaid data sources were used together. The sensitivity of ascertainment was lower for Medicaid–Medicare data among those aged under 65 and non-white; ascertainment was lower for the registry among women who were aged under 65, poor, and non-white. Conclusions: Combining health insurance claims data with a population-based cancer registry improved the identification of incident cases of breast cancer, and may be particularly useful among demographic groups found to be at highest risk of under-ascertainment such as younger women, the poor, and racial minorities.