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Our purpose was to understand premenstrual symptomatology and treatment-seeking behaviors by examining three subjective measurement approaches for premenstrual syndrome (PMS), their relationship to social functioning interference, and the role of symptom severity in a broader model of help seeking for PMS. Cross-sectional data were obtained from 1022 mail survey respondents who were derived from a nationally representative random sample of women, aged 18-49, experiencing regular menstrual cycles. Statistical analyses included Pearson correlations, chi-square tests, t tests, and logistic regression. The three symptom severity measures (a global self-appraisal, summative symptom counting, and categorical-configural) were strongly intercorrelated, ranging from. 60 to.78 (p < 0.001), and were correlated with interference in social and occupational functioning domains, ranging from.44 to.77 (all p < 0.001). A global self-report measure identified 4.9% of women with severe symptoms, whereas a DSM-IV-adapted approach identified 11.3% with premenstrual dysphoric disorder (PMDD) symptoms (of whom 92% also reported social interference). PMS treatment seeking was predicted by older age, PMS symptoms experienced in most cycles, greater self-reported symptom severity, greater overall use of healthcare services, and less negative attitudes toward PMS (all p < 0.05). These findings support the feasibility of clinician's use of brief screening approaches for PMDD, especially using short summative symptom rating scales. Women underidentify the severity of their PMS difficulties despite the reported difficulties associated with consistent social and occupational interference in most life domains. They are also reluctant to seek help for treatable PMS symptoms because of attitudinal barriers regardless of the severity of their PMS symptoms.

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BACKGROUND: Surveys used for health plan quality reporting are generally administered annually to health plan enrollees to assess satisfaction with both the health plan and health care services. Therefore, surveys may lack sensitivity to measure the effects of patient-focused, quality improvement initiatives that could demonstrate results in a shorter time period. OBJECTIVES: We describe the development and testing of a multidimensional, visit-specific measure of satisfaction with primary care that may be used in quality improvement. METHODS: Conducted in five adult and pediatric primary care sites serving a commercial, largely managed-care population, the survey includes the Medical Outcomes Study Visit-Specific Questionnaire, the American Board of Internal Medicine Patient Satisfaction Questionnaire, and locally developed items. We assessed the instrument's reliability, validity, and utility for quality improvement. RESULTS: For both adult and pediatric samples, three factors emerged: satisfaction with the provider, satisfaction with access, and satisfaction with the office. Satisfaction with the provider and with the office were independently correlated with overall satisfaction in both samples; satisfaction with access was significantly correlated with overall satisfaction only for adults. For adults, patients who disenrolled from the health plan were less satisfied with the office compared with patients who remained with the health plan. Finally, for adults, we detected significant differences across practice sites in terms of satisfaction with office and access; for children, there were intersite differences in terms of satisfaction with provider, office, and access. CONCLUSIONS: We have support for the reliability and validity of this instrument that has identified differences in satisfaction between practice sites that may be used for quality improvement.

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Previous studies have suggested that a considerable number of depressed patients suffer from sustained or repeated episodes of depressive symptoms. We developed a risk factor index based on data obtained at admission to treatment predicting sustained nonremission of depressive symptoms over 4 years for a sample of 370 unipolar depressed inpatients and outpatients. The six risk factors for sustained nonremitted depression are: less education, more severe initial depressive mood and ideation, secondary major depression, prior treatment, comorbid medical conditions, and fewer close relationships. These findings suggest that identification of these risk factors before selecting treatment type and intensity may improve long-term clinical outcomes.

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OBJECTIVE: To identify the characteristics of cost-effective inpatient substance abuse treatment programs. DATA SOURCES/STUDY SETTING: A survey of program directors and cost and discharge data for study of 38,863 patients treated in 98 Veterans Affairs treatment programs. STUDY DESIGN: We used random-effects regression to find the effect of program and patient characteristics on cost and readmission rates. A treatment was defined as successful if the patient was not readmitted for psychiatric or substance abuse care within six months. PRINCIPAL FINDINGS: Treatment was more expensive when the program was smaller, or had a longer intended length of stay (LOS) or a higher ratio of staff to patients. Readmission was less likely when the program was smaller or had longer intended LOS; the staff to patient ratio had no significant effect. The average treatment cost $3,754 with a 75.0% chance of being effective, a cost-effectiveness ratio of $5,007 per treatment success. A 28-day treatment program was $860 more costly and 3.3% more effective than a 21-day program, an incremental cost-effectiveness of $26,450 per treatment success. Patient characteristics did not affect readmission rates in the same way they affected costs. Patients with a history of prior treatment were more likely to be readmitted but their subsequent stays were less costly. CONCLUSIONS: A 21-day limit on intended LOS would increase the cost-effectiveness of treatment programs. Consolidation of small programs would reduce cost, but would also reduce access to treatment. Reduction of the staff to patient ratio would increase the cost-effectiveness of the most intensively staffed programs.

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OBJECTIVE: To develop a case mix model for inpatient substance abuse treatment to assess the effect of case mix on readmission across Veterans Affairs Medical Centers (VAMCs). DATA SOURCES/STUDY SETTING: The computerized patient records from the 116 VAMCs with inpatient substance abuse treatment programs between 1987 and 1992. STUDY DESIGN: Logistic regression was used on patient data to model the effect of demographic, psychiatric, medical, and substance abuse factors on readmission to VAMCs for substance abuse treatment within six months of discharge. The model predictions were aggregated for each VAMC to produce an expected number of readmissions. The observed number of readmissions for each VAMC was divided by its expected number to create a measure of facility performance. Confidence intervals and rankings were used to examine how case mix adjustment changed relative performance among VAMCs. DATA COLLECTION/EXTRACTION METHODS: Ward where care was provided and ICD-9-CM diagnosis codes were used to identify patients receiving treatment for substance abuse (N = 313,886). PRINCIPAL FINDINGS: The case mix model explains 36 percent of the observed facility level variation in readmission. Over half of the VAMCs had numbers of readmissions that were significantly different than expected. There were also noticeable differences between the rankings based on actual and case mix-adjusted readmissions. CONCLUSIONS: Secondary data can be used to build a reasonably stable case mix model for substance abuse treatment that will identify meaningful variation across facilities. Further, case mix has a large effect on facility level readmission rates for substance abuse treatment. Uncontrolled facility comparisons can be misleading. Case mix models are potentially useful for quality assurance efforts.

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Many health care system, including that of the Department of Veterans Affairs (VA), are facing dramatic changes as they adapt to state-level reform legislation and move into managed care environments. As new costing systems are designed and as researchers seek to conduct cost-effectiveness studies to guide health policy, it is critical to examine the assumed validity of the measurement procedures on which these costing systems are based. The foundation for VA health care costing is the cost distribution report, which is created by combining data on expenditures and workload with local service chiefs' estimates of program staffing and resource use. To evaluate the accuracy of the cost distribution report, the authors compared data from the report to cost data obtained in three multisite studies. Substantial differences were found between the cost distribution report and these independent sources, suggesting that researchers should not place uncritical reliance on the cost distribution report. The accuracy of costing data in information systems being implemented by VA will be limited to the extent they rely on the existing VA cost distribution system. Several strategies can be used in studies with a cost component to compensate for imperfect cost distribution systems.

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Assessment of therapeutic orientation is a significant problem in substance abuse program evaluation. This study reports the initial results of a new approach to measuring treatment orientation through a self-report survey that focuses on distinctive features of substance abuse treatment orientations. The Drug and Alcohol Program Treatment Inventory (DAPTI) assesses treatment goals and activities specific to eight orientations: AA/12 Step, Therapeutic Community, Cognitive-Behavioral, Insight/Psychodynamic, Rehabilitation, Dual Diagnosis, Medical and Marital/Family Systems. We present findings from a nationwide assessment of 327 Veterans Administration (VA) Substance Abuse treatment programs that demonstrate promising subscale internal consistency, discriminant validity, and concurrent validity. In addition, the DAPTI distinguishes between programs with independently verified orientations and between inpatient, extended care, outpatient, and methadone maintenance programs. The DAPTI may be helpful in systematically assessing differences in treatment orientations between different types of programs, such as inpatient, community residential, and outpatient care.

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This study examined the patient case mix and program determinants of 6-month readmission rates and early treatment dropout for 7,711 VA inpatients with both substance abuse and major psychiatric disorders treated in one of 104 substance abuse programs. Patients were treated in one of three types of inpatient programs: explicitly designed dual diagnosis specialty programs, substance abuse programs with a dual diagnosis psychotherapy group or standard substance abuse programs. Dual diagnosis specialty programs differed from regular substance abuse programs in that they had a more severe case mix, a higher 180-day readmission rate, greater dual diagnosis treatment orientation, used more psychotropic medication, had longer lengths of stay, had greater tolerance of relapse and medication noncompliance, and a higher rate of psychiatric aftercare in the 30 days after discharged. Programs with less severe case mix, longer intended and actual length of stay, lower 7-day dropout rates, greater tolerance of problem behavior, 12-step groups, and higher immediate postdischarge utilization of outpatient mental health treatment lower 180-day readmission rates. Programs with less severe patient case mix, more use of psychotropic medications but less of methadone and antabuse, less varied and diverse treatment activities, and low use of patient-led groups had lower dropout rates.

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This study examines program determinants of one aspect of VA inpatient substance abuse treatment program performance. Performance was measured by the ratio of a program's readmission rate to the expected rate for programs with similar patients. Six-month readmission rates in 101 VA treatment programs were analyzed. Preliminary analyses indicated that patient differences across programs accounted for 36% of the variance in readmission rates. Program differences accounted for 47% of the variance in case-mix-adjusted readmission rate. Among program factors selected through a literature review, better than expected readmission performance was associated with having fewer early discharges, a longer intended treatment duration, more patient participation in aftercare, more family or friend assessment interviews, and treating more patients on a compulsory basis. Performance was not related to stress management training, patient attendance at more self-help meetings during treatment, staff characteristics, or average staff costs per patient day. The findings indicate that treatment retention, duration, and increased aftercare may be targeted to reduce high readmission rates. Last, there were only small differences in the model over 30, 60, 90, and 365 day follow-up intervals, suggesting substantial stability of the findings.

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The purpose of this paper to describe the Department of Veterans Affairs' (VA) recent expansion and enhancement of its substance abuse treatment services. Several treatment innovations are considered from both clinical and administrative perspectives. These services include extended care programs for multiply impaired patients, programs for substance abuse patients with comorbid psychiatry conditions and services designed to improve continuity of care and community re-entry. Emergent themes include a broadening of services to meet the needs of a changing substance abuse population and an emphasis on providing more cost-efficient treatment.

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Little is known about the effects of psychosocial factors on the long-term course of unipolar depression. This article examines the 4-year stability and change in life stressors, social resources, and coping, and their effect on the course of treated unipolar depression among 352 men and women. Depressed patients were assessed at treatment intake and at 1-year and 4-year follow-ups. Over the 4 years, patients improved in symptom outcomes, the quality of social resources, and coping responses; there were some declines in life stressors. Life stressors, social resources, and coping were related to patient functioning concurrently, after controlling for demographics, initial treatment, and initial dysfunction severity. Preintake medical conditions and family conflict consistently predicted poorer long-term outcomes. The findings imply that medical conditions and family conflict are important risk factors that predict poorer long-term outcome of depression.

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