Progress toward a performance measure for mental health based on a generic patient- reported outcome measure: Findings from the Veterans Outcome Assessment survey.

We report on studies conducted to develop outcome-based performance measures (PROM-PMs) based on generic patient-reported outcome measures (PROMs) that could support strategies for quality improvement applicable to all patients in a mental health system. Data were from the Veterans Outcome Assessment Survey at baseline and three months for the Mental Component Score (MCS-12), a widely used measure of mental health-related quality of life, for 15,540 outpatients beginning treatment in General Mental Health clinics in 140 Veterans Affairs (VA) facilities. Mental health diagnoses from medical records were coded using hierarchical categories. Mental health staffing levels and quality measures were from administrative data. Changes in MCS-12 scores were associated with demographics, baseline scores, and diagnostic categories; in fully adjusted models, differences between facilities accounted for only 0.5% of the total variance between patients. There were small but significant associations of both baseline and changes in MCS-12 scores with staffing levels and administrative measures of the quality of care that support the potential value of adjusted measures of changes in MCS-12 as a PROM-PM. Remaining issues include the low proportion of variability that can be attributed to differences between facilities and the associations of staffing and quality with possible case-mix adjustment variables.

Interpreting patient reports of perceived change during treatment for depression: Findings from the Veterans Outcome Assessment survey.

This study addressed ongoing questions about the meaning of patients' perceptions of change during treatment. The study used data from the Veterans Outcome Assessment survey for patients with a depressive disorder, without mental health comorbidities, treated in Department of Veterans Affairs general mental health clinics (n = 694). Perceived changes in problems/symptoms, other domains, and the quality of communication with providers were evaluated with items from the Experience of Care & Health Outcomes (ECHO) survey. Depressive symptoms were measured with the Patient Health Questionnaire-9 (PHQ-9). Linear regression models evaluated associations of perceived change at 3-months post-baseline with observed change in PHQ-9 scores, scores on other patient-reported outcome measures (PROMs), and ratings of communication with providers. Patients' reports of their clinical condition at follow-up together with ratings of communication accounted for approximately one-third of the variance in patients' perceptions of change. Adding change-scores based on baseline and follow-up scores on the PHQ-9 and other PROMs did not improve model fit. The findings suggest that patient reports of perceived change during treatment reflect their current clinical state and their experience of care more closely than actual changes in the PHQ-9 or other PROMs.

Associations between patient experience and clinical outcomes in substance use disorder clinics: Findings from the veterans outcomes assessment survey.

BACKGROUND: Patient-centeredness is a cornerstone of substance use disorder (SUD) treatment. Patient-experience measures are potential tools for the routine assessment of patient-centered SUD care and may be valuable measures to inform quality monitoring improvement efforts. Little research exists on the predictive validity of patient-experience measures in SUD care. PURPOSE: We report on findings from the Veterans Outcome Assessment (VOA) survey that provides information on Veterans Health Administration SUD specialty care at treatment initiation and approximately 3-months post-initiation. METHODS: The VOA includes patient-reported outcomes across multiple domains, including the Brief Addiction Monitor (BAM-R), the Short-Form-12 (SF-12) and the Experience of Care and Health Outcome Survey (ECHO), and provides patient reports of the quality of provider communication and overall quality of SUD care. RESULTS: Nearly 40% of veterans in SUD care gave the highest possible ratings for communication and quality at both baseline and follow-up. Ratings of communication at 3-months were associated with treatment discontinuation and both ratings of communication and quality at 3-months and were independently associated with SUD symptoms and with mental well-being at 3-months. CONCLUSIONS: This study provides preliminary support for the inclusion of patient experience measures, particularly ratings of provider communication, as part of routine assessment in SUD care. However, further work on the validity of ratings of provider communication using additional methodologies is likely important before piloting the inclusion of such measures in routine assessment, such as in measurement base care.

Performance of the PHQ-9 across conditions and comorbidities: Findings from the Veterans Outcome Assessment survey.

BACKGROUND: The items of the Patient Health Questionnaire-9 (PHQ-9) represent the criterion symptoms for DSM-IV major depression. This study evaluated the extent to which the PHQ-9 functions as a patient-reported outcome measure (PROM) specific to patients with major depressive disorder. METHOD: Data were from the Veterans Outcome Assessment survey for 8848 patients beginning treatment in VA general mental health clinics, including 5754, re-surveyed after 3 months. The PHQ-9's performance as a PROM was evaluated by comparing rank order correlations between both initial scores and improvements over 3 months between the PHQ-9 and several transdiagnostic PROMs across a range of diagnoses and comorbidities. Performance of PHQ-9-related patient-reported outcome-based performance measures (PROM-PM) were evaluated by comparing rates of response and remission across patient groups. RESULTS: Correlations between the PHQ-9 and transdiagnostic measures were significant and comparable in magnitude across a range of diagnoses and for cases with depression with or without comorbidities. Rates of response and remission were comparable across most patient groups. LIMITATIONS: Limitations include use of clinical diagnoses as recorded in health records, and the relatively short time between assessments. CONCLUSIONS: In these settings, the PHQ-9 functions more as a general measure of symptoms or distress than as a disease-specific scale. This supports its use as a PROM for patients beyond those with major depression, including those with related diagnoses and those with comorbidities, and use of related PROM-PMs in clinical settings where diagnoses may not be precise and comorbidities may be common.

Measurement-based care and psychological assessment: Using measurement to enhance psychological treatment.

This special issue highlights new research in psychological assessment and measurement-based care. Psychological assessment has historically been central to the field of psychology. Measurement-based care, considered an evidence-based practice, is a special type of applied psychological assessment in which patient-reported outcome measures are used to track progress in care as part of a clinical process. We discuss how the knowledge from these two distinct but related fields can synergistically advance mental health treatment. The articles in this special issue demonstrate ways to practically implement measurement-based care, the application of measurement-based care in special populations, as well as feature advances in psychological assessment that support the practice of measurement-based care. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Using patient-reported outcome measures for program evaluation: Design and findings on intention-to-treat outcomes from the Veterans Outcome Assessment survey.

The Veterans Outcomes Assessment (VOA) program surveys Veteran Health Administration (VHA) patients when they begin mental health treatment and at follow-up at three months to obtain patient-reported outcomes measures (PROM). It complements VA's evolving program in measurement-based care by providing additional data that can be useful for program evaluation including assessments of patients who have not been seen for ongoing mental health care. In principle, it provides data on intention-to-treat outcomes for program evaluation to complement the outcomes for patients who are receiving ongoing treatment that can be derived from measurement-based care. VOA findings confirm differences in outcomes between patients who have continued to be seen for treatment and those who have not. Patients in general mental health clinics with no encounters between the baseline and follow-up assessments who reported discontinuing care because they did not want or need treatment improved more, and those who discontinued due to problems improved less than those who remained in treatment. Experience with VOA has identified a number of issues that must be addressed before it is possible to use intention-to-treat outcomes for program evaluation.

Potential mental health needs of US adult residents under different provisions of the Affordable Care Act.

OBJECTIVE: This study examined different groups of the US population who may be affected by the expansion of Medicaid and creation of health insurance exchanges under the Affordable Care Act (ACA). METHOD: Data were based on structured interviews with a nationally representative sample of 34,587 adults from the 2004-2005 Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Psychiatric diagnoses were assessed with the Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV. RESULTS: Of the total sample, 6.4% were currently on Medicaid; 3.9% were uninsured and likely eligible for the Medicaid expansion (LEME); 8.6% were uninsured and not LEME but likely to participate in the health insurance exchanges; 4.6% were insured and LEME; and 76.6% were insured and not LEME. Among those uninsured, those LEME had a significantly higher prevalence of mood and anxiety disorders than those not LEME (odds ratios = 1.26-1.41). Among those insured, those LEME had a higher prevalence of mood, anxiety, substance use, and personality disorders than those not LEME (odds ratios = 1.78-2.41). Although there were few clinical differences between those currently on Medicaid and those LEME, those currently on Medicaid were more likely to use all types of services for mood, anxiety, and substance use disorders. CONCLUSIONS: The ACA may directly affect the 12.5% of the US adult population who are uninsured by requiring them to obtain insurance coverage. Given the high prevalence for various psychiatric disorders among those uninsured, state plans to expand Medicaid and create health insurance exchanges have potential to offer coverage to many adults with mental health needs, and states should carefully plan for comprehensive services.

An exploratory examination of marijuana use, problem-gambling severity, and health correlates among adolescents.

BACKGROUND AND AIMS: Gambling is common in adolescents and at-risk and problem/pathological gambling (ARPG) is associated with adverse measures of health and functioning in this population. Although ARPG commonly co-occurs with marijuana use, little is known how marijuana use influences the relationship between problem-gambling severity and health- and gambling-related measures. METHODS: Survey data from 2,252 Connecticut high school students were analyzed using chi-square and logistic regression analyses. RESULTS: ARPG was found more frequently in adolescents with lifetime marijuana use than in adolescents denying marijuana use. Marijuana use was associated with more severe and a higher frequency of gambling-related behaviors and different motivations for gambling. Multiple health/functioning impairments were differentially associated with problem-gambling severity amongst adolescents with and without marijuana use. Significant marijuana-use-by-problem-gambling-severity-group interactions were observed for low-average grades (OR = 0.39, 95% CI = [0.20, 0.77]), cigarette smoking (OR = 0.38, 95% CI = [0.17, 0.83]), current alcohol use (OR = 0.36, 95% CI = [0.14, 0.91]), and gambling with friends (OR = 0.47, 95% CI = [0.28, 0.77]). In all cases, weaker associations between problem-gambling severity and health/functioning correlates were observed in the marijuana-use group as compared to the marijuana-non-use group. CONCLUSIONS: Some academic, substance use, and social factors related to problem-gambling severity may be partially accounted for by a relationship with marijuana use. Identifying specific factors that underlie the relationships between specific attitudes and behaviors with gambling problems and marijuana use may help improve intervention strategies.