Outcomes for treatment of depression in the Veterans Health Administration: Rates of response and remission calculated from clinical and survey data.

Healthcare Effectiveness Data and Information Set (HEDIS) quality measures for depression treatment aggregate Patient Health Questionnaire (PHQ)-9 data from routine clinical assessments recorded in electronic health records (EHR). To determine whether aggregated PHQ-9 data in US Veterans Health Administration (VHA) EHRs should be used to characterize the organization's performance, we compared rates for depression response and remission calculated from EHRs with rates calculated with data representing the underlying Veteran patient population estimated using Veterans Outcome Assessment (VOA) survey data. We analyzed data from initial assessments and 3-month follow-up for Veterans beginning treatment for depression. EHR data were available for only a minority of Veteran patients, and the group of Veterans with EHR data differed from the underlying Veteran patient population with respect to demographic and clinical characteristics. Aggregated rates of response and remission from EHR data were significantly different from estimates based on representative VOA data. The findings suggest that until patient-reported outcome from EHRs are available for a substantial majority of patients receiving care, aggregated measures of patient outcomes derived from these data cannot be assumed to be representative of the outcomes for the overall population, and they should not be used as outcome-based measures of quality or performance.

Patient and Treatment Characteristics Associated With Receipt of Core Patient-Reported Outcome Measures in VA Mental Health.

OBJECTIVE: Measurement-based care (MBC) has been implemented in Veterans Affairs since 2016 and is increasingly used in other mental health care organizations. Little quantitative research exists that assesses patient-level barriers and facilitators of MBC. This study examines correlates of receiving patient-reported outcome measures (PROMs) among veterans receiving both psychotherapy and pharmacotherapy (Both), psychotherapy only (Psychotherapy), and pharmacotherapy only (Pharmacotherapy). METHODS: Data on PROM administration were obtained for a 12-month period for 1,726,578 veterans who initiated outpatient mental health care during fiscal year 2019. Clinical, treatment, and PROM data were extracted from the electronic health record. Logistic regression was used to model the association between veteran and treatment characteristics and PROM administration. RESULTS: Thirty-two percent of veterans in Both, 26.0% in Psychotherapy, and 8.8% in Pharmacotherapy received at least one PROM. The probability of PROM administration was positively associated with the number of treatment encounters during the fiscal year 2019. Major depressive, generalized anxiety, and other depressive disorders were associated with an increased probability of PROM administration. Psychotic disorders, personality disorders, older age, dementia, and electronic health record suicide risk flag were associated with decreased odds of PROM administration across treatment types. CONCLUSIONS: Rates of PROM administration differ depending on the type of treatment received. The probability of PROM administration is influenced by the frequency of encounters and, to a lesser extent, having a diagnosis congruent with symptoms assessed in the set of PROMs considered. Consistent with hypotheses from the MBC implementation literature, potential indicators of clinical severity and cognitive impairment decrease the likelihood of PROM utilization.

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.

Measurement-Based Care for Psychotic Disorders in the Veterans Health Administration: Current Practices and Future Directions.

Objective: Measurement-based care (MBC) improves patient outcomes. However, there has been minimal focus on MBC for psychotic disorders. This study examines the use of patient-reported outcome measures (PROMs) in the Veterans Health Administration (VHA) to characterize their use among Veterans with psychotic disorders and to inform candidate measures for psychosis-related MBC.Methods: Data on Veterans with and without ICD-10 psychotic disorders and at least 1 PROM during fiscal years (FYs) 2016-2019 (FY16-FY19) were collected. The sample included 3,935,504 PROM administrations among 1,192,897 Veterans. Included PROMs spanned multiple symptom and non-symptom domains. Percentages of total PROM administrations were calculated by aggregating across time and diagnosis. Facility-level statistics were also calculated. Absolute change in the percentage of unique Veterans administered a particular and repeated PROMs over time were calculated.Results: The core PROMs for VHA MBC (Patient Health Questionnaire-9 [PHQ-9], General Anxiety Disorder-7 Scale, PTSD Checklist-5, and Brief Addiction Monitor) accounted for the majority of PROMs for Veterans with (88.18%) and without (92.56%) psychotic disorders. The PHQ-9 accounted for the largest proportion (psychotic disorder: 45.89%; other diagnosis: 46.70%). The absolute changes in percentages of repeated PROM administration were similar over time across groups.Conclusions: The use of PROMs in VHA mental health care increased during FY16-FY19 for Veterans with and without psychosis. The rates of PROM use were similar for both groups, and PROM use predominately consisted of the core measures. While the similar rates of PROM administration are encouraging, these findings highlight the need for psychosis-specific measures to tailor MBC for Veterans with these diagnoses.

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.

Effects of post-discharge counseling and medication utilization on short and long-term smoking cessation among hospitalized patients.

Numerous studies have tested the effect of multicomponent post-discharge smoking cessation interventions on post-discharge smoking cessation, and many are effective. However, little is known regarding the relative efficacy of the different intervention components on short or long-term cessation. The present study is a secondary analysis (n = 984) of a randomized controlled trial for hospitalized smokers that took place at two large hospitals in Kansas from 2011 to 2014. All study participants were offered post-discharge quitline services. Pharmacotherapy was recommended during bedside tobacco treatment. The study outcomes were self-reported cessation at 1-month and biochemically verified cessation at 6-months post-randomization. During the post-discharge period, 69% of participants completed at least one quitline call and 28% of participants reported using cessation pharmacotherapy. After controlling for known predictors of cessation among hospitalized smokers, both the number of total quitline calls completed post-discharge and use of cessation pharmacotherapy post-discharge were predictive of cessation at 1-month. After accounting for predictors of cessation and quitting at 1-month, total post-discharge quitline calls was associated with cessation at 6-months (OR [95% CI] = 1.23 [1.12, 1.35], p < 0.001) while post-discharge cessation pharmacotherapy use was not. The results suggest that both engagement in quitline services and use pharmacotherapy independently facilitate cessation beyond the influence of known clinical characteristics associated with cessation. Over the longer term, the effect of engaging in quitline services persists while the effect of pharmacotherapy diminishes. To optimize outcomes, future research should investigate methods to increase utilization of medications and promote sustained counseling engagement in order to sustain the effects of treatment during the post-discharge period.

Identifying pathways to quitting smoking via telemedicine-delivered care.

OBJECTIVE: A randomized controlled trial of quitline-like phone counseling (QL) versus telemedicine integrated into primary care (ITM) compared the effectiveness of these modalities for smoking cessation. Study design and components were based on self-determination theory (SDT). The purpose of this study was to test our SDT-based model in which perceived health care provider autonomy support, working alliance, autonomous motivation, and perceived competence were hypothesized to mediate the effects of ITM on smoking cessation. METHOD: Rural smokers (n = 560) were randomized to receive 4 sessions over a 3-month period of either QL or ITM. Follow-up assessments were conducted at Months 3, 6, and 12. The primary outcome was biochemically verified 7-day point prevalence at 12 -months. Structural equation modeling with latent change scores was used for the analysis. RESULTS: Participants in the ITM condition reported greater increases in perceived health care provider autonomy support (PAS) at end of treatment, which in turn was associated with enhanced perceived competence to quit smoking (PC). Increased PC was associated with a higher likelihood of cessation at 12-months. Mediation analysis demonstrated significant indirect effects, including a path from ITM to increases in PAS to increases in PC to cessation at 12-months (indirect effect = 0.0183, 95% confidence interval [.003, .0434]). CONCLUSIONS: When integrated into primary care, ITM may influence smoking cessation by enhancing the extent to which smokers feel supported by their providers and thereby increase their perceived ability to quit. Findings suggest that locating tobacco treatment services in health care provider offices imparts a motivational benefit for cessation. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Critical steps in the path to using cessation pharmacotherapy following hospital-initiated tobacco treatment.

BACKGROUND: Hospital-initiated smoking cessation interventions utilizing pharmacotherapy increase post-discharge quit rates. Use of smoking cessation medications following discharge may further increase quit rates. This study aims to identify individual, smoking-related and hospitalization-related predictors of engagement in three different steps in the smoking cessation pharmacotherapy utilization process: 1) receiving medications as inpatient, 2) being discharged with a prescription and 3) using medications at 1-month post-hospitalization, while accounting for associations between these steps. METHODS: Study data come from a clinical trial (N = 1054) of hospitalized smokers interested in quitting who were randomized to recieve referral to a quitline via either warm handoff or fax. Variables were from the electronic health record, the state tobacco quitline, and participant self-report. Relationships among the predictors and the steps in cessation medication utilization were assessed using bivariate analyses and multivariable path analysis. RESULTS: Twenty-eight percent of patients reported using medication at 1-month post-discharge. Receipt of smoking cessation medications while hospitalized (OR = 2.09, 95%CI [1.39, 3.15], p < .001) and discharge with a script (OR = 4.88, 95%CI [3.34, 7.13], p < .001) were independently associated with medication use at 1-month post-hospitalization. The path analysis also revealed that the likelihood of being discharged with a script was strongly influenced by receipt of medication as an inpatient (OR = 6.61, 95%CI [4.66, 9.38], p < .001). A number of other treatment- and individual-level factors were associated with medication use in the hospital, receipt of a script, and use post-discharge. CONCLUSIONS: To encourage post-discharge smoking cessation medication use, concerted effort should be made to engage smokers in tobacco treatment while in hospital. The individual and hospital-level factors associated with each step in the medication utilization process provide good potential targets for future implementation research to optimize treatment delivery and outcomes. TRIAL REGISTRATION: Number: NCT01305928 . Date registered: February 24, 2011.

Safety of disclosing amyloid status in cognitively normal older adults.

INTRODUCTION: Disclosing amyloid status to cognitively normal individuals remains controversial given our lack of understanding the test's clinical significance and unknown psychological risk. METHODS: We assessed the effect of amyloid status disclosure on anxiety and depression before disclosure, at disclosure, and 6 weeks and 6 months postdisclosure and test-related distress after disclosure. RESULTS: Clinicians disclosed amyloid status to 97 cognitively normal older adults (27 had elevated cerebral amyloid). There was no difference in depressive symptoms across groups over time. There was a significant group by time interaction in anxiety, although post hoc analyses revealed no group differences at any time point, suggesting a minimal nonsustained increase in anxiety symptoms immediately postdisclosure in the elevated group. Slight but measureable increases in test-related distress were present after disclosure and were related to greater baseline levels of anxiety and depression. DISCUSSION: Disclosing amyloid imaging results to cognitively normal adults in the clinical research setting with pre- and postdisclosure counseling has a low risk of psychological harm.