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OBJECTIVE: Although telehealth psychotherapies have been studied for over 20 years, mental health services remained largely delivered in person until the COVID-19 pandemic forced clinics to reconsider the utility of telehealth psychotherapy. This study aims to compare patient engagement in in-person versus telehealth services in outpatient psychotherapy for mood and anxiety disorders. METHOD: A cohort investigation was conducted, using a propensity score matched sample, extracted from an electronic health record (EHR) to compare engagement in psychotherapy for 762 patients who used in-person services before the pandemic to a cohort of 762 patients who used telehealth psychotherapy after the onset of COVID-19. The authors compared cohorts on initial engagement in psychotherapy services following an initial intake, number of psychotherapy sessions attended, and the rate of missed sessions. RESULTS: There was a 26% increase in the total number of individual psychotherapy sessions attended when the clinics transitioned to telehealth services (p < .001). In addition, patients who received telehealth psychotherapy were five times more likely to not cancel or miss any scheduled sessions (p < .001). CONCLUSION: These results indicate that telehealth services may result in improved treatment engagement for outpatient centers focused on brief evidence-based psychotherapies for mood and anxiety disorders.

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A plethora of studies has exhibited the effectiveness of using measurement-based care feedback systems within mental health services to improve treatment outcomes; however, patient gender/race and patient-therapist matching on gender and race remain relatively unexplored as predictors/moderators in feedback studies. We conducted predictor/moderator analyses focusing on the relation of gender, race/ethnicity, and patient-therapist gender and race/ethnicity matching on two outcomes: patient self-reported levels of (1) functioning and (2) trust/respect within the therapeutic relationship. We used data from a randomized controlled trial studying the effectiveness of a feedback system comparing patient-reported levels of trust and respect towards their provider (together with symptom feedback) in comparison to symptom only feedback. We found that men improved in functioning more than women when their therapists received trust/respect feedback compared to symptom only feedback (F[1, 902] = 9.79, p = .002, d = 0.21). We also found that dyads matched on race/ethnicity but not gender, and those matched on gender but not race/ethnicity, improved in functioning over time more than dyads mismatched on both gender and race/ethnicity and those matched on both gender and race/ethnicity (F[1, 897] = 8.63, p = .0034, d = 0.20). On trust/respect outcomes, we found a gender difference over time (F[1, 759] = 6.61, p = .01, d = 0.19), a gender matching difference by feedback condition interaction (F[1, 757] = 5.25, p = .02, d = 0.17), and a racial/ethnic matching difference on trust/respect scores over time (F[1, 785] = 3.89, p = .049, d = 0.14). Male patients showed an initial decrease followed by a steady increase in trust/respect over time while female patients showed an initial increase followed by a steady decrease. Gender-matched therapeutic dyads showed higher levels of trust/respect compared to mismatched dyads when therapists received symptom only feedback, but this difference was not apparent when trust/respect feedback was provided. Dyads mismatched on race/ethnicity improved steadily in trust/respect over time, but matched dyads decreased in trust/respect after an initial increase. Future research should focus on the use of feedback systems to enhance outcomes for patients with specific gender and racial/ethnic identities.

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Gaining insight is considered a cornerstone of psychodynamic psychotherapy. Existing tools used to measure insight mainly include patients' self-report questionnaires and external coding of therapy sessions. To expand on the available tools, the present study developed a comprehensive coding system for the Self-Understanding of Interpersonal Patterns Scales-Interview (SUIP-I; Gibbons & Crits-Christoph, 2017). A total of 55 patients enrolled in a randomized controlled trial received psychodynamic psychotherapy for depression and were interviewed using the SUIP-I at baseline. A comprehensive coding system was developed for rating the interviews, based on a Likert scale for each of the six levels of insight. The content validity, psychometric properties, and the reliability and validity of the coding system were examined. The new SUIP-I coding system demonstrated interrater reliability in the "excellent" range, ICC (1, 1) = .91-.97, for all the six levels, and adequate internal consistency (Cronbach's α = .81). Support for convergent validity was gained, as manifested in a significant positive association of the SUIP-I with alliance expectation and affiliation, and a significant negative association with avoidance attachment. Support for discriminant validity was also gained, as manifested in a weak, nonsignificant association between the SUIP-I and self-esteem. The proposed comprehensive coding system shows good initial reliability and validity. Research is needed to further establish the psychometric properties of the new SUIP-I coding system. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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INTRODUCTION: Opioid use disorder (OUD) and psychiatric conditions commonly co-occur yet are infrequently treated with evidence-based therapeutic approaches, resulting in poor outcomes. These conditions, separately, present challenges to treatment initiation, retention, and success. These challenges are compounded when individuals have OUD and psychiatric conditions. METHOD: Recognizing the complex needs of these individuals, gaps in care, and the potential for primary care to bridge these gaps, we developed a psychotherapy program that integrates brief, evidence-based psychotherapies for substance use, depression, and anxiety, building on traditional elements of the Collaborative Care Model (CoCM). In this article, we describe this psychotherapy program in a primary care setting as part of a compendium of collaborative services. RESULTS: Patients receive up to 12 sessions of evidence-based psychotherapy and case management based on a structured treatment manual that guides treatment via Motivational Enhancement; Cognitive Behavioral Therapies for depression, anxiety, and/or substance use disorder; and/or Behavioral Activation components. DISCUSSION: Novel, integrated treatments are needed to advance service delivery for individuals with OUD and psychiatric conditions and these programs must be rigorously evaluated. We describe our team's efforts to test our psychotherapy program in a large primary care network as part of an ongoing three-arm randomized controlled trial. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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OBJECTIVE: Patient trust/respect toward their therapists may be an important component of patient-therapist relationships. This randomized controlled trial evaluated the impact of providing weekly feedback to therapists regarding patient ratings of trust/respect toward their therapist. METHOD: Adult patients seeking mental health treatment at four community clinics (two community mental health centers and two community-based intensive treatment programs) were randomized to either having their primary therapist receive weekly symptom feedback-only or symptoms plus trust/respect feedback. Data were collected both prior to and during COVID-19. The primary outcome measure was a measure of functioning obtained weekly at baseline and the subsequent 11 weeks, with the primary analysis focusing on patients who received any treatment. Secondary outcomes included measures of symptoms and trust/respect. RESULTS: Among 233 consented patients, 185 had a postbaseline assessment and were analyzed for the primary and secondary outcomes (median age of 30 years; 5.4% Asian, 12.4% Hispanic, 17.8% Black, 67.0% White, 4.3% more than 1 race, and 5.4% unknown; 64.4% female). On the Patient-Reported Outcomes Measurement Information System Social Roles and Activities scale (primary outcome), the trust/respect plus symptom feedback group had significantly greater improvements over time than the symptom alone feedback group (p = .0006, effect size d = .22). Secondary outcome measures of symptoms and trust/respect also showed statistically significant greater improvement for the trust/respect feedback group. CONCLUSIONS: In this trial, trust/respect feedback to therapists was associated with significantly greater improvements in treatment outcomes. Evaluation of the mechanisms of such improvements is needed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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BACKGROUND: Short-term psychodynamic psychotherapy (STPP) is frequently used to treat depression, but it is unclear which patients might benefit specifically. Individual participant data (IPD) meta-analyses can provide more precise effect estimates than conventional meta-analyses and identify patient-level moderators. This IPD meta-analysis examined the efficacy and moderators of STPP for depression compared to control conditions. METHODS: PubMed, PsycInfo, Embase, and Cochrane Library were searched September 1st, 2022, to identify randomized trials comparing STPP to control conditions for adults with depression. IPD were requested and analyzed using mixed-effects models. RESULTS: IPD were obtained from 11 of the 13 (84.6%) studies identified (n = 771/837, 92.1%; mean age = 40.8, SD = 13.3; 79.3% female). STPP resulted in significantly lower depressive symptom levels than control conditions at post-treatment (d = -0.62, 95%CI [-0.76, -0.47], p < .001). At post-treatment, STPP was more efficacious for participants with longer rather than shorter current depressive episode durations. CONCLUSIONS: These results support the evidence base of STPP for depression and indicate episode duration as an effect modifier. This moderator finding, however, is observational and requires prospective validation in future large-scale trials.

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OBJECTIVE: Psychotherapy randomized trials rarely have tested for the best fitting model for time effects. We examined the fit of different statistical models for examining time when repeated assessments of depressive symptoms are the primary outcome. METHOD: We used data from three studies comparing psychotherapy treatments for major depressive disorder. Outcome measures were self-report ratings for Study 1 (N = 237) and Study 2 (N = 100) and clinician ratings for Study 3 (N = 120) of depressive symptoms measured at every session (Studies 1 and 2) or monthly (Study 3). We examined the fit of the following time patterns: linear, quadratic, cubic, log transformation of time, piece-wise linear, and unstructured. RESULTS: In Study 1, a log-linear model had the best fit (Δ Akaike information criterion [AICc] = 7.5). In Study 2, all models had essentially no support (Δ AICcs > 10) in comparison to the best fitting model, which was the unstructured model. In Study 3, the cubic model had the best fit, but it was not significantly better than a log-linear (Δ AICc = 3.5) or unstructured model (Δ AICc = 2.5). CONCLUSIONS: Trials should routinely compare different time models, including an unstructured model, when repeated measures of depressive symptoms are the primary outcome.

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PURPOSE: Our goal was to develop brief pragmatic assessments of Behavioral Activation (BA) fidelity to support its dissemination in low-resource settings. METHODS: We used qualitative and quantitative methods across three investigations to develop pragmatic assessments rated from the perspective of therapists, patients, and observers: (1) we developed an initial comprehensive pool of 119 items and adapted/refined the item pool to 32 items through stakeholder focus groups and cognitive interviews; (2) independent blind judges rated each of items in the refined item pool on an early session of BA for 64 patients to support the selection of items based on predictive validity; and (3) we conducted a preliminary evaluation of the acceptability and feasibility of the assessments of BA fidelity from the perspective of therapists and patients. RESULTS: The internal consistency reliability for the 10-item total score was .83 rated from the perspective of independent observers. The assessment was completed by patients following 90% of sessions and by clinicians following 93% of sessions. Items were rated high on overall satisfaction by both therapists (M = 4.6, SD = 0.89) and patients (M = 4.8, SD = 0.41). CONCLUSION: Our findings suggest that these brief assessments of BA fidelity are reliable, feasible, and acceptable to community stakeholders.

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OBJECTIVE: Previous research has documented associations between trauma and interpersonal problems. We examined the impact of trauma on interpersonal problems among depressed patients seeking treatment in a community mental health setting. METHODS: A total of 453 patients seeking treatment and screened for a comparative effectiveness study of therapies for depression were included. We conducted analyses relating the 32-item inventory of interpersonal problems (IIP-32) to trauma measures. RESULTS: 99.1% of the sample experienced a traumatic event. There were significant associations between the total number of traumas, the number of sexually and physically assaultive traumas, and both gender and race. The number of sexually assaultive traumas was significantly related to the IIP-32 "too caring" subscale (simple r = 0.167, p < 0.001). Controlling for demographics and other IIP-32 subscales, the total number of traumas remained significantly related to the IIP-32 "too caring" domain (partial r = 0.163, p < 0.001). CONCLUSIONS: Traumatic events are prevalent among community populations and these experiences are associated with certain interpersonal problems. Trauma and interpersonal problems are key issues for the treatment of patients in the community mental health setting.

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Many individuals seeking mental health services for depression often suffer from a comorbid medical condition. The goal of the present study was to assess the presence of medical comorbidity in a community mental health center setting that primarily serves a Medicare and Medicaid population, characterize the types of comorbid medical conditions experienced in this setting, and explore the association between medical conditions on the alliance, attrition from services, and outcome. Medical diagnoses were collected from patient charts and structured clinical interviews from 353 participants who had a baseline assessment as part of a comparative effectiveness study of cognitive and dynamic therapies for major depressive disorder. We calculated the Charlson Comorbidity Index and the number of total medical diagnoses for each patient. Results from this study revealed that a high percentage of patients in this setting experienced a comorbid medical condition. No significant associations were found between the number of medical conditions or the Charlson Comorbidity Index and the alliance. No significant relationship was found between the number of medical conditions or the Charlson Comorbidity Index and early attrition from treatment or treatment outcome. However, exploratory analyses found that presence of a nervous system disorder was associated with relatively poorer treatment outcomes after initial engagement. Implications of these findings are discussed. Treatments for major depressive disorder may benefit from addressing the impact of medical disorders on physical functioning. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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Systematic reviews and meta-analyses synthesize results from well-conducted studies to optimize healthcare decision-making. Network meta-analysis (NMA) is particularly useful for improving precision, drawing new comparisons, and ranking multiple interventions. However, recommendations can be misled if published results are a selective sample of what has been collected by trialists, particularly when publication status is related to the significance of the findings. Unfortunately, the missing-not-at-random nature of this problem and the numerous parameters involved in modeling NMAs pose unique computational challenges to quantifying and correcting for publication bias, such that sensitivity analysis is used in practice. Motivated by this important methodological gap, we developed a novel and stable expectation-maximization (EM) algorithm to correct for publication bias in the network setting. We validate the method through simulation studies and show that it achieves substantial bias reduction in small to moderately sized NMAs. We also calibrate the method against a Bayesian analysis of a published NMA on antiplatlet therapies for maintaining vascular patency.

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This study aimed to investigate change in insight into maladaptive interpersonal patterns over the course of psychotherapy, as well as the specificity of insight as a change mechanism in dynamic treatments. A total of 100 patients received up to 16 sessions of either cognitive or dynamic therapy for major depressive disorder in a randomized clinical trial. Assessments of insight (Insight into Conflictual Relationship Patterns scale) and depression severity (Hamilton Depression Inventory) took place at the beginning of treatment, at month 2, and month 5. Patient insight significantly improved over the course of dynamic treatments. Gains in insight from the beginning to month 2 of treatment were a significant predictor of decreases of depressive symptoms from month 2 to month 5 of treatment in the dynamic, but not in the cognitive treatment group, despite a nonsignificant interaction. Results provide support for insight as a change factor in dynamic therapies. Better self-understanding of dysfunctional interaction patterns could help patients to find more adaptive ways of behaving, to form more satisfying relationships, and to improve their depression. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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Behavioral activation (BA) is a well-supported treatment approach, but little research has been conducted on the effectiveness of this treatment within publicly funded community mental health settings. We examined the feasibility of conducting a randomized trial examining the effectiveness of nine sessions of BA as a treatment for major depressive disorder (MDD) in a community mental health clinic (CMHC) setting. Following adaptation of a BA manual and training of BA therapists, 80 patients seeking treatment at a CMHC were randomized, with a 3:1 randomization rate of BA to nine sessions of treatment as usual (TAU). Feasibility assessments indicated that only one eligible patient refused randomization and, of patients who attended at least one session, the median number of sessions was six for the BA group and eight for the TAU group. Of three postbaseline monthly assessments, 71.3% (171/240) were successfully obtained. On average, patients in the BA condition completed homework assignments 83.9% of the time. Treatment fidelity ratings indicated that substantially more BA techniques were delivered in the BA group compared to the TAU group (d = 2.11). Measures of BA mechanisms improved significantly over time and these changes were significantly associated with change in depressive symptoms. These results indicate that it is feasible to conduct a randomized study of BA for MDD in a CMHC setting. In addition, the study reconfirmed the potential importance of theory-relevant BA mechanism variables. Following these findings, further investigation into the effectiveness of BA in this setting is needed.

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To examine the association between adherence and competence in cognitive therapy (CT) techniques and change in positive compensatory skills and depressive symptoms within a community mental health setting.Adherence ratings were available for 97 individuals receiving CT for major depressive disorder. Assessments of adherence and competence were rated on one early session of CT. Compensatory skills were measured using the Ways of Responding Community Version at baseline and months 1, 2, and 5. Symptom severity was evaluated using the Hamilton Rating Scale for Depression at baseline and months 1, 2, 4, and 5.In mixed effects models, adherence was significantly associated with linear change in positive compensatory skills from baseline to month 5 (F [1, 76] = 8.05, p=.006, r=.31). Competence was also significantly associated with change in positive compensatory skills from baseline to month 5 (F [1, 78] = 5.1, p=.027, r=.25). High adherence was associated with improvements in HAM-D scores from baseline to month 5 (F [1, 78] = 5.1, p=.027, r=.25).Results support the hypothesis that use of CT techniques is associated with change in compensatory skills in a community mental health setting.

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Objective: This study aimed to develop an observer-rated measure of Insight into Conflictual Relationship Patterns (ICR) applicable to audio- or videotapes of psychotherapy sessions and conduct a first psychometric evaluation. Method: We investigated the item properties, principal components, reliability, and validity of the ICR in a naturalistic sample of N = 125 outpatients in psychodynamic psychotherapy. Results: The ICR consists of 12 items that showed adequate item discrimination and item difficulty indices. All items represent one principal component. Using item response theory, discrimination parameters and item characteristic curves revealed that the ability of all items to differentiate patients was adequate to very good. The scale demonstrated good interrater reliability (ICC(3,1) = .76-.93), adequate internal consistency (Cronbach's α = .84), and high retest reliability (r = .91). Regarding validity, the ICR was significantly associated with insight according to the Achievement of Therapeutic Objectives Scale and patient-perceived session depth. Insight at session five predicted a symptomatic increase from session five to session ten. Conclusion: The ICR is an observer-rated measure to assess insight from psychotherapy session recordings that has demonstrated several aspects of reliability and validity. Future studies are needed to clarify the impact of ICR-assessed insight for symptomatic outcome.

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Objective: To introduce readers to instrumental variable analyses for causal inferences using as an example a test of the hypothesis that the quality of the therapeutic alliance has a causal role in relation to the outcome of psychotherapy. Method: We used data from a recent non-inferiority trial of cognitive and dynamic therapies for major depressive disorder in a community mental health setting. The data (N = 161) were analyzed using standard approaches as well as a multilevel 2-stage instrumental variables approach that allows for causal interpretations by removing the influence of unmeasured confounds. Results: Instrumental variables were created at the patient and therapist level using baseline patient and therapist variables. These baseline variables predicted the alliance but were otherwise unrelated to treatment outcome other than through their effects on the alliance. Standard multilevel mixed effects analyses revealed statistically significant associations of the alliance with outcome at the therapist level of analysis. The therapist level effect remained statistically significant when using the instrumental variables approach. Conclusion: Our results support the hypothesis that, at least at the therapist level, the alliance plays a causal role in producing better outcomes. Instrumental variable analyses can be a useful tool to supplement standard analyses.

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BACKGROUND: Intraoperative magnetic resonance imaging (ioMRI) has led to significant advancements in neurosurgery with improved accuracy, assessment of the extent of resection, less invasive surgical alternatives, and real-time confirmation of targeting as well delivery of therapies. The costs associated with developing ioMRI units in the surgical suite have been obstacles to the expansion of their use. More recently, the development of hybrid interventional MRI (iMRI) units has become a viable alternative. The process of designing, developing, and implementing operations for these units requires the careful integration of environmental, technical, and safety elements of both surgical and MR practices. There is a paucity of published literature providing guidance for institutions looking to develop a hybrid iMRI unit, especially with a limited footprint in the radiology department. METHODS: The experience of designing, developing, and implementing an iMRI in a preexisting space for neurosurgical procedures at a single institution in light of available options and the literature is described. RESULTS: The development of the unit was accomplished through the engagement of a multidisciplinary team of stakeholders who utilized existing guidelines and recommendations and their own professional experience to address issues including physical layout, equipment selection, operations planning, infection control, and oversight/review, among others. CONCLUSION: Successful creation of an iMRI program requires multidisciplinary collaboration in integrating surgical and MR practice. The authors' aim is that the experience described in this article will serve as an example for facilities or neurosurgical departments looking to navigate the same process.

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BACKGROUND: Psychiatry research has begun to leverage data collected from patients' social media and smartphone use. However, information regarding the feasibility of utilizing such data in an outpatient setting and the acceptability of such data in research and practice is limited. OBJECTIVE: This study aimed at understanding the outpatients' willingness to have information from their social media posts and their smartphones used for clinical or research purposes. METHODS: In this survey study, we surveyed patients (N=238) in an outpatient clinic waiting room. Willingness to share social media and passive smartphone data was summarized for the sample as a whole and broken down by sex, age, and race. RESULTS: Most patients who had a social media account and who were receiving talk therapy treatment (74.4%, 99/133) indicated that they would be willing to share their social media posts with their therapists. The percentage of patients willing to share passive smartphone data with researchers varied from 40.8% (82/201) to 60.7% (122/201) depending on the parameter, with sleep duration being the parameter with the highest percentage of patients willing to share. A total of 30.4% of patients indicated that media stories of social media privacy breaches made them more hesitant about sharing passive smartphone data with researchers. Sex and race were associated with willingness to share smartphone data, with men and whites being the most willing to share. CONCLUSIONS: Our results indicate that most patients in a psychiatric outpatient setting would share social media and passive smartphone data and that further research elucidating patterns of willingness to share passive data is needed.

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OBJECTIVE: Our goal was to evaluate treatment attendance patterns, including both treatment completion and premature termination from treatment, for 2 evidence-based psychotherapies for major depressive disorder (MDD) delivered in a community mental health setting. We explored rates of premature termination across the course of treatment as well as the factors that predicted and moderated premature termination and treatment completion. METHOD: This investigation included 237 patients with MDD who participated in a noninferiority trial comparing short-term dynamic psychotherapy (DT) to cognitive therapy (CT). Patients in both conditions were offered 16 sessions of treatment and had up to 5 months to complete treatment. All patients completed an extensive self-report battery at treatment baseline as well as measures of the therapeutic alliance and opinions about treatment following Session 2. RESULTS: Premature termination from both treatments was high with 27% of patients discontinuing treatment very early after only an intake session or a single treatment session. Patients in CT were significantly more likely to terminate treatment prematurely, χ²(3) = 14.35, p = .002. Baseline physical health functioning, subthreshold psychotic symptoms, Session 2 ratings of agreement on tasks, and Session 2 ratings of treatment sensibility all independently predicted premature termination of services. Trauma history significantly moderated very early termination of treatment, χ²(3) = 10.26, p = .017, with patients with high trauma histories more likely to complete DT but terminate prematurely from CT. CONCLUSIONS: Very early termination from services was higher in CT compared with DT. Including techniques to improve engagement in both therapies and matching patients to treatment based on predictors/moderators may be effective ways to optimize treatment engagement. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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BACKGROUND: Trust and respect may be an important component of client-provider relationships. This study aimed to develop and report preliminary psychometric analyses of a new brief measure to evaluate a patient's level of trust and respect for their clinician. The scale was designed to be applicable in multiple healthcare contexts, with a particular focus on mental healthcare. METHODS: Adult patients completed the study survey in an academic outpatient psychiatric clinic waiting room. Classical and Item Response Theory (IRT) analyses were utilized to examine the adequacy of scale items. Validity was examined in relation to the patient-therapist alliance and to willingness to share private information (social media content) with one's clinician. RESULTS: Beginning with 10 items, a final 8-item version of the measure was created with an internal consistency reliability of .91. Principal components analysis indicated that the scale was best viewed as capturing one overall dimension. A Graded Response Model IRT model indicated that all items contributed information on the latent dimension, and all item curves were not flat at any region. The correlation of the trust/respect total score with the alliance was .53 when respect-related items were deleted from the alliance score. The trust/respect scale was significantly associated with patient willingness to share social media posts with their clinician but the alliance was not. CONCLUSIONS: The brief measure of patient trust and respect towards their clinician was unidimensional, showed good internal consistency, and was not redundant with existing measures of the alliance. The scale has the potential to be used in a wide variety of healthcare settings.

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