Harnessing health information technology to promote equitable care for patients with limited English proficiency and complex care needs.

BACKGROUND: Patients with language barriers encounter healthcare disparities, which may be alleviated by leveraging interpreter skills to reduce cultural, language, and literacy barriers through improved bidirectional communication. Evidence supports the use of in-person interpreters, especially for interactions involving patients with complex care needs. Unfortunately, due to interpreter shortages and clinician underuse of interpreters, patients with language barriers frequently do not get the language services they need or are entitled to. Health information technologies (HIT), including artificial intelligence (AI), have the potential to streamline processes, prompt clinicians to utilize in-person interpreters, and support prioritization. METHODS: From May 1, 2023, to June 21, 2024, a single-center stepped wedge cluster randomized trial will be conducted within 35 units of Saint Marys Hospital & Methodist Hospital at Mayo Clinic in Rochester, Minnesota. The units include medical, surgical, trauma, and mixed ICUs and hospital floors that admit acute medical and surgical care patients as well as the emergency department (ED). The transitions between study phases will be initiated at 60-day intervals resulting in a 12-month study period. Units in the control group will receive standard care and rely on clinician initiative to request interpreter services. In the intervention group, the study team will generate a daily list of adult inpatients with language barriers, order the list based on their complexity scores (from highest to lowest), and share it with interpreter services, who will send a secure chat message to the bedside nurse. This engagement will be triggered by a predictive machine-learning algorithm based on a palliative care score, supplemented by other predictors of complexity including length of stay and level of care as well as procedures, events, and clinical notes. DISCUSSION: This pragmatic clinical trial approach will integrate a predictive machine-learning algorithm into a workflow process and evaluate the effectiveness of the intervention. We will compare the use of in-person interpreters and time to first interpreter use between the control and intervention groups. TRIAL REGISTRATION: NCT05860777. May 16, 2023.

Mediators of change in depressed mood following pain rehabilitation among participants with mild, moderate, or severe depressive symptoms.

BACKGROUND: Prior research indicates that depression and chronic pain commonly co-exist and impact each other. Interdisciplinary pain rehabilitation programs (IPRPs) have been shown to lead to statistically and clinically significant improvements for patients who report both depressed mood and chronic pain, however there is a gap in the literature regarding the mechanisms by which these improvements occur. METHODS: This two-site, distinct sample study (Study 1: N = 303, 10-week, individual format, ACT-based program; Study 2: N = 406, 3-week, group format, CBT-based program) evaluated mediators of treatment improvement in depressive symptoms among adult IPRP participants who reported elevated depressive symptoms at program admission and examined treatment mechanisms for depressive symptoms. RESULTS: Self-reported pain self-efficacy and pain catastrophizing - particularly the helplessness domain - mediated the treatment-related change in depression among IPRP participants with elevated depressive symptoms across the two sites and samples. In one sample, full mediation was achieved while in the other sample, partial mediation was achieved. Participants in both samples showed improvement on all measures. LIMITATIONS: This study relied on self-report measures of depressive severity and not clinical diagnosis. Results may not generalize to other populations of patients with chronic pain. There was no control condition in either study. CONCLUSION: Increasing pain self-efficacy and decreasing a sense of helplessness are important treatment targets among IPRP participants who endorse symptoms of depression.

Measuring patient satisfaction in an outpatient psychiatric clinic. What factors play a role?

INTRODUCTION: Patient satisfaction is defined as the perception that one's general health care needs are being met. Prior research suggests that positive patient satisfaction with health care facilitates the physician-patient relationship and enhances quality of life. OBJECTIVE: The primary purpose of this study was to assess patient satisfaction (as measured by the Patient Satisfaction Questionnaire (PSQ-18)) of patients observed by general psychiatry residents and to examine the effects of depression and anxiety on patient satisfaction. A secondary purpose was to explore the effects of three 1-h mentalization-based skills training sessions on the PSQ-18 scores of psychiatric residents. We hypothesized that depressive and anxiety symptoms would negatively impact patient satisfaction. We hypothesized that patients' satisfaction scores would improve after mentalization training. METHODS: This was a prospective case-controlled study, enrolling adult patients (n = 157) referred for psychiatric assessment in a psychiatric resident outpatient clinic. The primary outcome was patient satisfaction as measured by the PSQ-18. This outcome was compared to anxiety and depression symptoms as measured by the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder 7-Item scale (GAD-7) questionnaires. Outcome data from the PSQ-18 were compared among residents before and after they completed mentalization training. The data were analyzed with univariate analyses and multiple linear regression. RESULTS: Overall the patients were satisfied with clinician communication and interpersonal manner (4.21 ± 0.66 and 4.15 ± 0.69, respectively). The patients score on PHQ-9 was inversely related to their scores on time spent (TS) (p = 0.01) and accessibility/convenience (AC) (p = 0.0009) subscales of the PSQ-18. GAD-7 score was inversely related to patients scores on AC subscale (p = 0.01). Brief mentalization training for the providers did not impact patient satisfaction scores. CONCLUSIONS: Our study reveals that depression and anxiety can negatively impact PSQ-18 patient scoring in psychiatric outpatients observed for the first time in a resident clinic. However, this study failed to show that a brief mentalization-based training could improve patient satisfaction scores that were already quite high at baseline.

Frequency and predictors of the potential overprescribing of antidepressants in elderly residents of a geographically defined U.S. population.

The purpose of this study was to estimate the extent of potential antidepressant overprescribing in a geographically defined U.S. population, and to determine the indications and factors that account for it. We conducted a cohort study of new antidepressant prescriptions for elderly residents of Olmsted County, Minnesota, 2005-2012, using the Rochester Epidemiology Project medical records-linkage system. Indications for antidepressants were abstracted from health records for all cohort members. Potential antidepressant overprescribing was defined based on regulatory approval, the level of evidence identified from a standardized drug information database, and multidisciplinary expert review. Predictors of potential antidepressant overprescribing were investigated using logistic regression models, stratified by general antidepressant indication (general medical indication, specific psychiatric diagnosis, and non-specific psychiatric symptoms). Potential antidepressant overprescribing occurred in 24% of 3199 incident antidepressant prescriptions during the study period, and involved primarily newer antidepressants that were prescribed for non-specific psychiatric symptoms and subthreshold diagnoses. Potential antidepressant overprescribing was associated with nursing home residence, having a higher number of comorbid medical conditions and outpatient prescribers, taking more concomitant medications, having greater use of urgent or acute care services in the year preceding the index antidepressant prescription, and being prescribed antidepressants via telephone, e-mail, or patient portal. In conclusion, potential antidepressant overprescribing occurred in elderly persons and involved mainly newer antidepressants used for non-specific psychiatric symptoms and subthreshold diagnoses, and was associated with indicators of higher clinical complexity or severity and with prescribing without face-to-face patient contact.

Characteristics of Successful Transitions From Inpatient to Outpatient Electroconvulsive Therapy.

OBJECTIVES: The purpose of this study was to identify clinical and psychosocial factors involved in transitioning hospitalized patients receiving electroconvulsive therapy (ECT) from the inpatient to the outpatient setting and to propose an algorithm to guide clinicians with this process. METHODS: A retrospective chart review was completed for adult patients discharged from a psychiatric hospital from 2002 to 2012 who had an acute course of ECT that was initiated in the hospital and completed as an outpatient. We reviewed demographic and clinical information and outcomes, including ECT treatments. RESULTS: Among the 277 patients who were identified, the mean age was 52.2 years, 60% were women, and 66% were married. The mean length of hospital stay was 12.9 days, and the mean number of ECT treatments was 4.9 as an inpatient and 3.1 as an outpatient. The most frequent primary diagnosis was depression. Most patients (81%) had a responsible adult at home. Patients had good cognitive functioning at both baseline and discharge, and showed improved functional status at discharge (P<0.001 for change in scores on the Global Assessment of Functioning from admission to discharge). CONCLUSIONS: Factors such as improved cognitive and functional status from admission to discharge, a medically uncomplicated course, and a responsible adult at home were observed among patients transitioned from inpatient to outpatient ECT. On the basis of these study results, a review of the literature, and clinical experience, an algorithm to assist clinical decisions for ECT transitioning was developed.

The PHQ-9 Item 9 based screening for suicide risk: a validation study of the Patient Health Questionnaire (PHQ)-9 Item 9 with the Columbia Suicide Severity Rating Scale (C-SSRS).

BACKGROUND: Item 9 of the Patient Health Questionnaire (PHQ) evaluates passive thoughts of death or self-injury within the last two weeks, and is often used to screen depressed patients for suicide risk. We aimed to validate the PHQ-9 item 9 with a brief electronic version of the Columbia Suicide Severity Rating Scale (eC-SSRS). METHODS: We analyzed data from 841 patients enrolled in the National Network of Depression Centers Clinical Care Registry. We performed a validation analysis of PHQ-9 item 9 for suicide risk and ideation, using the eC-SSRS as a gold standard (defined as positive response to suicidal ideation with intent to act or recent suicidal behavior). RESULTS: Of the 841 patients, 13.4% and 41.1% were assessed as being positive for suicide risk by the eC-SSRS and PHQ-9 item 9, respectively. For the overall cohort, sensitivity was 87.6% (95%CI 80.2-92.5%), specificity was 66.1% (95%CI 62.6-69.4%), PPV was 28.6% (95%CI 24.1-33.6%), and NPV was 97.2% (95%CI 95.3-98.3%) for the PHQ-9 suicide item. These performance measures varied within subgroups defined by demographic and clinical characteristics. In addition, the validity of PHQ-9 item 9 (cutoff score of 1) with eC-SSRS-defined suicide ideation showed overall poor results. LIMITATIONS: The gold standard used in our study was a surrogate measure of suicidality based on eC-SSRS scores. CONCLUSIONS: The results of our study suggest that item 9 of the PHQ-9 is an insufficient assessment tool for suicide risk and suicide ideation, with limited utility in certain demographic and clinical subgroups that requires further investigation.

Use of Electroconvulsive Therapy in Dementia-Related Agitation: A Case Series.

OBJECTIVES: This naturalistic prospective observation study examines the efficacy of electroconvulsive therapy (ECT) in treating dementia-related agitation. METHODS: Patients with dementia-related agitation who received ECT were compared with patients with the same condition who did not receive ECT using Cohen-Mansfield Agitation Inventory (CMAI), Neuropsychiatric Inventory (NPI)-nursing home version, and Clinical Global Impression Scale (CGI). Outcomes were compared between ECT-treated and non-ECT-treated patients. RESULTS: A total of 9 patients were included in the study. Six received ECT, and 3 did not. Patients in the ECT and non-ECT-treated groups had comparable baseline scores (CMAI, P = 0.880; NPI, P = 0.814; and CGI, P = 0.445). The CMAI, NPI, and CGI scores were lower on final assessment in both groups with no statistically significant difference (CMAI, P = 0.771; NPI, P = 0.243; and CGI, P = 0.519). CONCLUSIONS: Electroconvulsive therapy should be considered as a treatment option in the management of severe treatment refractory dementia-related agitation.

Clinical Challenges in Maintenance Electroconvulsive Therapy for Older Patients With Medical Comorbidity.

As patients receiving maintenance electroconvulsive therapy (MECT) age, many will acquire medical illnesses that may complicate their course of ECT and the treatment of their underlying psychiatric conditions. In this study, we present 7 cases of patients receiving MECT whose medical illnesses resulted in clinical reassessment of whether or not MECT should be continued. We discuss clinical implications and considerations for treating medically ill patients with MECT.