Change in metabolic control and functional status after hospitalization. Impact of patient activation intervention in diabetic patients.

OBJECTIVE: To determine whether a short intervention to enhance patient information seeking and decision making during hospitalization results in improved metabolic control and functional status in patients with diabetes mellitus. RESEARCH DESIGN AND METHODS: A randomized clinical trial was conducted in which control patients received a comprehensive 3-day evaluation and educational program, whereas experimental patients received a 45-min patient activation intervention and a 1-h self-administered booster in addition to the program. Metabolic control and functional status were measured at baseline and 4 mo postdischarge. RESULTS: During their discharge discussions, experimental patients asked significantly more questions than control patients (7.4 vs. 3.0, P less than .001) and 4 mo later reported significantly fewer physical limitations in activities of daily living than the control group (P = 0.02). Improvement in metabolic control was statistically significant only for experimental patients (P = 0.02), although their glycosylated hemoglobin levels were not significantly lower than control patients' at follow-up. The intervention did not diminish physician satisfaction with patient interactions, although it may have increased physician frustration with responsibilities that competed with patient care. CONCLUSIONS: These results suggest that the addition of a patient activation intervention to a comprehensive diabetes management program may substantially enhance physical functioning among adults with diabetes mellitus.

Self-care predictors of metabolic control in NIDDM patients.

The objective of this study was to evaluate whether the relationship between self-care behavior and metabolic control is comparable in patients with non-insulin-dependent diabetes mellitus (NIDDM) on insulin and not on insulin. We studied 84 NIDDM patients hospitalized for an elective admission in Washington University's Model Demonstration Unit. At admission, patients reported the frequency of exercise, blood glucose monitoring, and meal skipping for the previous 2 wk. Metabolic control over the previous 8-12 wk was determined from glycosylated hemoglobin assays. In cross-sectional analysis controlling for patient sociodemographic and health characteristics, glycosylated hemoglobin levels were positively related to meal skipping (P = 0.0008) and negatively related to the frequency of blood glucose monitoring (P = 0.0025). Self-care behaviors explained 26% of the variance in glycosylated hemoglobin levels in NIDDM patients. Multivariate modeling demonstrated no significant interaction effects between insulin treatment and self-care on metabolic control. In conclusion, these findings support the clinical significance of self-care activities for metabolic control in NIDDM patients, particularly meal skipping and blood glucose monitoring.

Earnings changes for depressed individuals treated by mental health specialists.

OBJECTIVE: It is unclear whether the additional benefits of receiving depression treatment from mental health specialists in routine care pays for the additional costs, compared with treatment delivered by general medical providers. This study examines the difference in lost earnings and the difference in treatment costs experienced by depressed individuals treated in these two sectors. METHOD: Representative community residents with depression were recruited and interviewed at baseline and at 6-month and 12-month follow-ups. Lost earnings were measured by lost workdays multiplied by subjects' wage rates. Treatment costs were approximated by charges abstracted from provider and insurance records. RESULTS: After controlling for sociodemographic variables, baseline severity, and baseline comorbidity, the authors found a net mean annual economic savings of $877 associated with depression treatment delivered in the mental health sector compared with the general medical sector. Sensitivity analyses in alternative scenarios indicated similar savings. CONCLUSIONS: Although it is the trend for primary care providers to provide mental health services, these analyses indicate a net economic savings if depression treatment is provided by mental health specialists, probably as a result of patients' greater functional improvement. As gatekeepers, especially in managed care, primary care providers have a unique responsibility to identify and detect patients with mental health problems. In the current structure, however, they may lack the necessary time to provide effective mental health services. Therefore, mental health specialists play a crucial role, with primary care providers' cooperation (i.e., detection, consultation, and referral), in providing the most cost-effective mental health services.

Measuring outcomes of care for adolescents with emotional and behavioral problems.

OBJECTIVES: To validate the prototype Adolescent Treatment Outcomes Module (ATOM), examine its sensitivity to clinical change, and determine its feasibility for administration in routine clinical settings. METHOD: A sample of 67 adolescents, aged 11 through 18, was selected from new patients at two inpatient and two outpatient mental health programs. Adolescents and parents completed the ATOM and validating instruments at intake, 1 week postintake, and again at 6 months. RESULTS: Nine self-report symptoms predicted positive diagnoses of oppositional defiant, conduct, anxiety, and depressive disorders on the basis of structured diagnoses, with sensitivities of 0.7 to 0.8. Test-retest correlations for outcome scales were largely excellent (>0.70). Scales that measured functioning at home, in school, and in the community were moderately correlated in the expected direction with global functioning. Decreases in symptom severity and functional impairment were generally associated with decreases in validating instruments. Administration time averaged 25 minutes for adolescents and 28 minutes for parents. CONCLUSIONS: Both parents and adolescents readily completed the ATOM. Module scales demonstrated excellent reliability and good to fair concurrent validity. The ATOM was able to detect change and its absence.

The comorbidity of DSM-III-R personality disorders in somatization disorder.

In order to understand psychiatric factors that complicate the medical management of somatizing patients, 94 subjects with known somatization disorder (SD) were evaluated for 13 personality disorders with the Structured Clinical Interview for DSM-III-R Personality Disorders. Referred from multiple primary care settings, the patient sample was predominantly female (85%), married (67%), high school graduates (64%), and had a mean age of 43. Structured interviews documented that 23.4% of SD patients had one personality disorder, and 37.2% had two or more disorders. The four most frequently identified personality disorders were avoidance 26.7%, paranoia 21.3%, self-defeating 19.1%, and obsessive-compulsive 17.1%. Interestingly histrionic personality disorder was identified in only 12.8% of the sample and antisocial personality disorder in 7.4%. In making the diagnosis of SD, health care providers need to avoid the common clinical impression that histrionic behavior often accompanies the disorder. Further research with SD patients is needed to examine the relationship of co-occurring personality disorders to symptom recurrence, health care utilization, and readiness for psychiatric referral.

The Quality Improvement for Depression collaboration: general analytic strategies for a coordinated study of quality improvement in depression care.

It is difficult to evaluate the promise of primary care quality-improvement interventions for depression because published studies have evaluated diverse interventions by using different research designs in dissimilar populations. Preplanned meta-analysis provides an alternative to derive more precise and generalizable estimates of intervention effects; however, this approach requires the resolution of analytic challenges resulting from design differences that threaten internal and external validity. This paper describes the four-project Quality Improvement for Depression (QID) collaboration specifically designed for preplanned meta-analysis of intervention effects on outcomes. This paper summarizes the interventions the four projects tested, characterizes commonalities and heterogeneity in the research designs used to evaluate these interventions, and discusses the implications of this heterogeneity for preplanned meta-analysis.

The relationship between eating patterns and metabolic control in patients with non-insulin-dependent diabetes mellitus (NIDDM).

The most important element in the therapeutic plan of patients with non-insulin-dependent diabetes mellitus (NIDDM) is dietary modification. Dietary instructions target patient behaviors in two areas: following an exchange-based diet and adhering to the same basic eating pattern every day. However, there is little empirical data that addresses the relationship between dietary instruction and metabolic control. Fifty patients with NIDDM were enrolled in an 8-week study to ascertain if either dietary approach was more predictive of improved metabolic control. The effect on metabolic control was determined by changes in HbA1c over a 2- to 3-month period. Patients added or deleted almost half of all prescribed exchanges, and added or deleted an average of one prescribed meal or snack per day. Deviations in prescribed eating patterns, particularly breakfast-skipping and snack additions and deletions, were related to poorer metabolic control. Maintaining consistent eating patterns should be further evaluated as an important component of dietary instruction for patients with NIDDM.

A community study of depression treatment and employment earnings.

OBJECTIVE: Although treatment for major depression has been shown to reduce the costs of lost earnings resulting from lost work days, research has not demonstrated whether the reduction fully offsets the costs of treatment for the disorder. METHODS: A statewide cohort of community residents with recent major depression, dysthymia, or substantial depressive symptoms was recruited and interviewed at baseline and at six-month and 12-month follow-ups. The cost of lost earnings was measured by lost work days multiplied by subjects' wage rates. Cost of treatment for depression was approximated using charges abstracted from provider and insurance records. Net economic cost, defined as the sum of changes in lost earnings and depression treatment costs, was examined in multiple regression analyses. RESULTS: After the analyses controlled for sociodemographic characteristics, baseline severity of depression, and comorbidity, no statistically significant effect of depression treatment on net economic cost was found. This finding suggests that the cost of depression treatment was fully offset by savings from reduction in lost work days. Results from sensitivity analyses in multiple alternative scenarios support the same conclusion. CONCLUSIONS: The finding of a full offset of depression treatment cost is conservative because other benefits, such as reduced pain and suffering and increased productivity while at work, were not included in the analyses. Employers who bear the cost from lost work days should encourage their employees with depressive disorders to seek treatment, even if it means paying for the entire treatment cost. Self-employed individuals with depression also will benefit even if they pay for the treatment costs themselves.

A primary care intervention for depression.

To assess a guideline-based intervention's impact on depression care provided in rural vs. urban primary care settings, 12 community primary care practices (four rural, eight urban) were randomized to enhanced (i.e., intervention) and usual care study conditions. The study enrolled 479 depressed patients, with 432 (90.2 percent) completing telephone follow-up at six months. Multilevel analytic models revealed that rural enhanced care patients had 2.70 times the odds (P = 0.02) of rural usual care patients of taking a three-month course of antidepressant medication at recommended dosages in the six months following baseline; urban enhanced care patients had 2.43 times the odds compared with their urban usual care counterparts (P = 0.007). Rural enhanced care patients had 3.00 times the odds of rural usual care patients of making eight or more visits to a mental health specialist for counseling in the six months following baseline (P = 0.03). Comparisons of patients in enhanced care practices showed that rural enhanced care patients had 2.00 times the odds (P = 0.12) of urban enhanced care patients of making at least one visit to a mental health specialist for counseling in the six months following baseline and had comparable odds to urban enhanced care patients (odds ratio [OR] = 1.06, P = 0.77) of making eight or more visits to such specialists during that interval. The study's intervention improved the care received by both rural and urban depressed primary care patients. Moreover, the intervention's effect appears to have been greater in rural settings, particularly in terms of increasing depressed rural patients' use of mental health specialists for counseling.

Validation of the Panic Outcomes Module.

This article discusses the validation of a module designed to evaluate the outcomes of clinical care for panic disorder. The research utilized a longitudinal design to examine cross-sectional relationships and change over time within and between subjects. Baseline, follow-up, and test-retest data were collected on 73 patients. The initial field test indicates that the Panic Outcomes Module measures outcomes and case-mix characteristics with acceptable levels of measurement error for group data. The module's measure of change in panic severity demonstrated encouraging agreement with the structured interviewer's judgement of change. This module, completed in approximately 20 minutes, is short enough to incorporate into outpatient mental health settings. We recommend that providers and administrators interested in monitoring the outcomes of specialty care for panic disorder seek assistance from health services researchers to use the Panic outcomes module. Further research is needed to validate this module for use in primary care populations.

Assessing the effectiveness of mental health care in routine clinical practice. Characteristics, development, and uses of patient outcomes modules.

The health care delivery system faces continually increasing pressure to be accountable for the historically unparalleled amount of resources it utilizes. This article discusses one set of recently developed tools known as outcomes modules that are used to assess how treatment affects outcomes in patients with a given disorder. These tools currently are being used to inform administrative decisions about how to improve the quality of care, and can potentially influence decisions by patients, providers, and payers of care as well. The critical components of outcomes modules, as well as their administration and applications are described, using modules for psychiatric conditions as examples.

Physical abuse among depressed women.

OBJECTIVE: To provide estimates of physical abuse and use of health services among depressed women in order to inform efforts to increase detection and treatment of physical abuse. DESIGN: Retrospective assessment of abuse and health services use over 1 year in a cohort of depressed women. SETTING: Statewide community sample from Arkansas. PARTICIPANTS: We recruited 303 depressed women through random-digit-dial screening. MEASUREMENTS AND MAIN RESULTS: Exposure to physical abuse based on the Conflict Tactics Scale, multi-informant estimate of health and mental health services. Over half of the depressed women (55.2%) reported experiencing physical abuse as adults, with 14.5% reporting abuse during the study year. Women abused as adults had significantly more severe depressive symptoms, more psychiatric comorbidity, and more physical illnesses than nonabused women. After controlling for sociodemographic and severity-of-illness factors, recently abused, depressed women were much less likely to receive outpatient care for mental health problems as compared to other depressed women (odds ratio [OR] 0.3; p = .013), though they were more likely to receive health care for physical problems (OR 5.7, p = .021). CONCLUSIONS: Because nearly all depressed women experiencing abuse sought general medical rather than mental health care during the year of the study, primary care screening for physical abuse appears to be a critical link to professional help for abused, depressed women. Research is needed to inform primary care guidelines about methods for detecting abuse in depressed women.

Resolving disparities in antidepressant treatment and quality-of-life outcomes between uninsured and insured primary care patients with depression.

BACKGROUND: Efforts to improve primary care depression treatment should penetrate to vulnerable uninsured populations. OBJECTIVE: To assess a primary care intervention's impact on treatment and quality-of-life outcomes in uninsured and insured depressed patients during the acute treatment phase. RESEARCH DESIGN: Twelve community primary care practices were randomized to 'enhanced' (intervention) and usual care conditions. Physicians, nurses and administrative staff in enhanced care practices received training to improve detection and management of depression. SUBJECTS: In 1996 to 1997, 383 nonelderly depressed patients who were either uninsured or covered by private insurance/Medicaid were enrolled; 343 (89.6%) completed six-month follow-up. MEASURES: Adequate pharmacotherapy (>or=3 months of antidepressants at therapeutic doses); adequate psychotherapy (>or=8 counseling visits); improvement in mental-health-related-quality-of-life (MHQOL), assessed by Mental Component Summary scale for SF-36. RESULTS: Multivariate results showed that 54.6% of uninsured enhanced care (UEC) patients received adequate pharmacotherapy, compared with 14.3% of uninsured usual care (UUC) patients (P = 0.0005); however, receipt of adequate psychotherapy was comparable between these two groups (18.2% UEC, 11.9% UUC; P = 0.42). Intervention effects on insured patients' treatment were modest to minimal. Among usual care patients, the insured had 5.4 points greater improvement in MHQOL at 6 months than the uninsured (12.4 points insured, 7.0 points uninsured; P = 0.02); however, among patients receiving the intervention, the insured and uninsured had comparable MHQOL improvement (12.3 points insured, 11.6 points uninsured; P = 0.76). CONCLUSIONS: The intervention improved antidepressant treatment rates in uninsured patients and helped resolve quality-of-life outcome disparities observed between insured and uninsured patients receiving usual care.

Measuring outcomes and costs for major depression.

This article addresses briefly the measurement of multidimensional outcomes and costs for major depression. We emphasize the importance of measuring outcomes in a variety of domains, including the broader issues of improvement or decline in functioning and impairment based on domains known to be affected by major depression. We emphasize the importance of measuring the economic costs of illness, both the direct total health care costs and indirect costs. Direct costs include mental health treatment costs and all other health care costs. Indirect costs include such varied factors as lost wages for the depressed individual and caregiver burden. We demonstrate the usefulness and importance of using these measures with several examples from our own research.

Does this treatment work? Validation of an outcomes module for alcohol dependence.

The purpose of this study was to evaluate the outcomes of routine care administered to alcohol-dependent inpatients. The authors sought to validate a self-administered instrument that measures the types and extent of care delivered, the outcomes of that care, and casemix characteristics that influence the outcomes of care. Seventy-eight patients who were beginning inpatient treatment for alcohol dependence were recruited; 85% were followed 5 months later to examine cross-sectional and longitudinal relationships to gold standard assessments. The self-administered module demonstrated excellent agreement with structured interview assessments of diagnosis (kappa = .81), remission (kappa = .83), and change in severity of alcohol-related problems (r = .66 to .87). Casemix variables, particularly baseline severity, predicted change in alcohol consumption and functional status. The baseline module required 20 minutes for the average patient and 5 minutes for the average clinician to complete, with less than 2% missing data. Results indicated that the module measures key constructs with sufficient precision to assist clinicians and researchers in characterizing the degree to which routine inpatient care for alcohol dependence "works" in their patient population. The entire module is in the public domain and available free of charge to interested users.