Becoming Trustworthy in Treating Patients With Borderline Personality Disorder.

No one doubts the importance of trust in psychotherapy, but few therapists think about the complexities of trusting relationships, and the trustworthiness that would justify trusting remains far from view. Fortunately, inasmuch as trusting and trustworthiness are inherently ethical concepts, contemporary philosophers have given trust the consideration it warrants. Integrating science and philosophy, the author reviews the broad scope and multifaceted nature of trust and trustworthiness, the social-cognitive development of trust, and the development of distrust in the context of borderline personality disorder. Without questioning therapists' character, the author makes the case for shifting the emphasis from the patient's distrust to the therapist's challenge to become trustworthy in the course of each treatment relationship and, more broadly, over the course of a professional career.

Contending With Polarization in the Expanding Scope of Psychotherapy.

The author queried 32 colleagues about their sense of polarization in the field of psychotherapy, using as an example the contrast between generalists (like himself) and specialists. This query was inspired by the proliferation of brands of psychotherapy coupled with the dominance of cognitive-behavioral therapies. His key conclusions: (a) tensions in the field are associated with a multitude of polarities and individual differences; (b) it is folly to reduce polarization to any single polarity; and (c) given the field's huge diversity, we are all specialists. While the author advocates greater integration of theories and methods, he also argues for expansion by including ethical thought into the scientific zeitgeist. He proposes skill in being human as a broad aspiration for therapists and patients.

Deliberate practice of diagnostic clinical reasoning reveals low performance and improvement of diagnostic justification in pre-clerkship students.

PURPOSE: Diagnostic errors are a large burden on patient safety and improving clinical reasoning (CR) education could contribute to reducing these errors. To this end, calls have been made to implement CR training as early as the first year of medical school. However, much is still unknown about pre-clerkship students' reasoning processes. The current study aimed to observe how pre-clerkship students use clinical information during the diagnostic process. METHODS: In a prospective observational study, pre-clerkship medical students completed 10-11 self-directed online simulated CR diagnostic cases. CR skills assessed included: creation of the differential diagnosis (Ddx), diagnostic justification (DxJ), ordering investigations, and identifying the most probable diagnosis. Student performances were compared to expert-created scorecards and students received detailed individualized formative feedback for every case. RESULTS: 121 of 133 (91%) first- and second-year medical students consented to the research project. Students scored much lower for DxJ compared to scores obtained for creation of the Ddx, ordering tests, and identifying the correct diagnosis, (30-48% lower, p < 0.001). Specifically, students underutilized physical exam data (p < 0.001) and underutilized data that decreased the probability of incorrect diagnoses (p < 0.001). We observed that DxJ scores increased 40% after 10-11 practice cases (p < 0.001). CONCLUSIONS: We implemented deliberate practice with formative feedback for CR starting in the first year of medical school. Students underperformed in DxJ, particularly with analyzing the physical exam data and pertinent negative data. We observed significant improvement in DxJ performance with increased practice.

Redesigning blood pressure measurement training in healthcare schools.

Blood pressure (BP) measurement is the most commonly performed procedure in clinical practice and requires mastering several skills. A prior study determined that medical school students failed to perform more than half of BP measurement skills correctly, demonstrating a need to redesign how BP measurement is taught. The American Medical Association set out to create and test a solution to address this BP measurement curricula gap. An eLearning series consisting of three modules was developed. The series was informed by evidence-based guidelines, includes content on self-measured blood pressure, is accessible to students at any time within their education journey, is interactive, and available to all healthcare schools at no cost. Prior to launch, a small pilot study was conducted with medical and nursing students to determine if these new eLearning modules address current gaps in BP measurement curricula. Students were instructed to complete an online assessment before and after viewing the main module within the series. Our results suggest that eLearning modules on BP measurement can help improve knowledge and ability to identify correct BP measurement skills. Pronounced improvements were observed in the topics of patient preparation, positioning, and cuff sizing and placement. Revisions were made to content areas where improvement was minimal. Overall, the findings revealed the importance of pilot testing a product prior to launch and while many skills may improve with an eLearning intervention, certain skills will still likely require additional in-person training with peers.

Development and Pilot Testing of a Data-Rich Clinical Reasoning Training and Assessment Tool.

PROBLEM: Clinical reasoning is a core competency for physicians and also a common source of errors, driving high rates of misdiagnoses and patient harm. Efforts to provide training in and assessment of clinical reasoning skills have proven challenging because they are either labor- and resource-prohibitive or lack important data relevant to clinical reasoning. The authors report on the creation and use of online simulation cases to train and assess clinical reasoning skills among medical students. APPROACH: Using an online library of simulation cases, they collected data relevant to the creation of the differential diagnosis, analysis of the history and physical exam, diagnostic justification, ordering tests; interpreting tests, and ranking of the most probable diagnosis. These data were compared with an expert-created scorecard, and detailed quantitative and qualitative feedback were generated and provided to the learners and instructors. OUTCOMES: Following an initial pilot study to troubleshoot the software, the authors conducted a second pilot study in which 2 instructors developed and provided 6 cases to 75 second-year medical students. The students completed 376 cases (average 5.0 cases per student), generating more than 40,200 data points that the software analyzed to inform individual learner formative feedback relevant to clinical reasoning skills. The instructors reported that the workload was acceptable and sustainable. NEXT STEPS: The authors are actively expanding the library of clinical cases and providing more students and schools with formative feedback in clinical reasoning using our tool. Further, they have upgraded the software to identify and provide feedback on behaviors consistent with premature closure, anchoring, and confirmation biases. They are currently collecting and analyzing additional data using the same software to inform validation and psychometric outcomes for future publications.

Sustaining University Operations During the COVID-19 Pandemic.

Colleges and universities around the world engaged diverse strategies during the COVID-19 pandemic. Baylor University, a community of ˜22,700 individuals, was 1 of the institutions which resumed and sustained operations. The key strategy was establishment of multidisciplinary teams to develop mitigation strategies and priority areas for action. This population-based team approach along with implementation of a "Swiss Cheese" risk mitigation model allowed small clusters to be rapidly addressed through testing, surveillance, tracing, isolation, and quarantine. These efforts were supported by health protocols including face coverings, social distancing, and compliance monitoring. As a result, activities were sustained from August 1 to December 8, 2020. There were 62,970 COVID-19 tests conducted with 1435 people testing positive for a positivity rate of 2.28%. A total of 1670 COVID-19 cases were identified with 235 self-reports. The mean number of tests per week was 3500 with approximately 80 of these positive (11/d). More than 60 student tracers were trained with over 120 personnel available to contact trace, at a ratio of 1 per 400 university members. The successes and lessons learned provide a framework and pathway for similar institutions to mitigate the ongoing impacts of COVID-19 and sustain operations during a global pandemic.

Predicting depression outcomes throughout inpatient treatment using the general and specific personality disorder factors.

BACKGROUND: Clinical intuition suggests that personality disorders hinder the treatment of depression, but research findings are mixed. One reason for this might be the way in which current assessment measures conflate general aspects of personality disorders, such as overall severity, with specific aspects, such as stylistic tendencies. The goal of this study was to clarify the unique contributions of the general and specific aspects of personality disorders to depression outcomes. METHODS: Patients admitted to the Menninger Clinic, Houston, between 2012 and 2015 (N = 2352) were followed over a 6-8-week course of multimodal inpatient treatment. Personality disorder symptoms were assessed with the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition Axis II Personality Screening Questionnaire at admission, and depression severity was assessed using the Patient Health Questionnaire-9 every fortnight. General and specific personality disorder factors estimated with a confirmatory bifactor model were used to predict latent growth curves of depression scores in a structural equation model. RESULTS: The general factor predicted higher initial depression scores but not different rates of change. By contrast, the specific borderline factor predicted slower rates of decline in depression scores, while the specific antisocial factor predicted a U shaped pattern of change. CONCLUSIONS: Personality disorder symptoms are best represented by a general factor that reflects overall personality disorder severity, and specific factors that reflect unique personality styles. The general factor predicts overall depression severity while specific factors predict poorer prognosis which may be masked in prior studies that do not separate the two.

Personality trait domains predict psychiatric symptom and functional outcomes.

A review of high intensity, high dose mentalization-based inpatient psychiatric treatment indicated large effect-size reductions in symptoms of depression, anxiety, somatization, and improving emotion-regulation functioning (Allen et al., 2017). This study examined the impact of pathological personality traits has on baseline symptoms and functioning, as well as their impact on the longitudinal course in a large cohort of adult inpatient psychiatric sample (N = 804). The Personality Inventory for DSM-5 (PID-5; Krueger et al., 2012) was used to assess trait domains impact on longitudinal outcomes (anxiety, depression, somatic symptoms, and functional impairment) using hierarchical repeated measures modeling. Results indicate Negative Affectivity and Detachment were related to higher admission severity in all four outcome domains. Psychoticism was related to somatic symptoms, while Antagonism and Disinhibition were related to functional impairment. Paradoxically, when symptoms were plotted over 2-week intervals during hospitalization, patients with higher admission PID-5 trait scores exhibited greater improvement over time. The PID-5 appears to contribute to prediction of treatment outcome response above and beyond demographic and burden of illness. Importantly, the findings add to a growing body of literature indicating that impairments in personality traits do not preclude positive treatment response, particularly when treatments target pathological personality features. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Attachment Style Mediates the Relationship between Trauma and Somatic Distress among Individuals with Serious Mental Illness.

Objective: Individuals with mental illnesses severe enough to require psychiatric hospitalization often have significant trauma histories, have developed maladaptive attachment styles, and experience comorbid somatic distress. Gaining an understanding about the interaction of such factors may lead to prioritizing interventions that target factors that mediate the relationship between trauma and adverse somatic distress. Prior research has examined various mediation models, but results have been mixed and conducted only on outpatient samples.Method: Participants (47.7% female) in a large sample (N = 2702) with a mean age of 34.62 (SD = 14.7) were enrolled in a specialist inpatient program and completed self-report measures pertaining to demographics, attachment insecurity, lifetime trauma exposure, and somatic distress within 72 hours of admission. The dimensions of attachment insecurity (i.e., attachment anxiety and attachment avoidance) were tested as parallel mediators in the relationship between lifetime trauma exposure and somatic distress.Results: The mediation analyses revealed that attachment anxiety and avoidance partially mediated the relationship between lifetime trauma exposure and somatic distress.Conclusions: These results are the first to date to implicate both attachment anxiety and avoidance as mediators between trauma exposure and somatic distress in a high acuity sample. Although the results do not imply causality, they do call attention to social-cognitive factors related to somatic distress and highlight the importance of considering attachment styles as a possible contributor to comorbid physical symptoms in patients with trauma exposure.

Diagnostic accuracy of DSM-5 borderline personality disorder criteria: Toward an optimized criteria set.

OBJECTIVE: The polythetic system used by the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) for diagnosing borderline personality disorders (BPD) is far from optimal; however, accumulated research and clinical data are strong enough to warrant ongoing utilization. This study examined diagnostic efficiency of the nine DSM-IV BPD criteria, then explored the feasibility of an optimized criteria set in classifying BPD. METHODS: Adults (N=1,623) completed the Structured Clinical Interviews for DSM-IV Axis II Disorders resulting in a BPD group (n=352) and an inpatient psychiatric control group (PC) with no personality disorders (n=1,271). Receiver operator characteristics and diagnostic efficiency statistics were calculated to ascertain the relative diagnostic efficiency of each DSM-5 BPD criterion in classifying BPD cases. RESULTS: Affective instability (Criterion 6) evidenced the strongest capacity to differentiate the groups (AUC = .84, SE = .01, p < .0001). Abandonment fears (Criterion 1), unstable relationships (Criterion 2), identity disturbance (Criterion 3), impulsivity (Criterion 4), and chronic emptiness (Criterion 7) yielded good-to-moderate discrimination (AUC range = .75-.79). A composite index of these six criteria yielded excellent accuracy (AUC = .98, SE = .002, p < .0001), sensitivity (SN=.99), and specificity (SP=.90). CONCLUSIONS: The current findings add to evidence that affective instability is a useful gate criterion for screening, and the optimized criteria set evidences equivalent accuracy to the original 9 criteria, with a substantial reduction in estimated heterogeneity (from 256 combinations with the original set to 42 combinations with the optimized set).

Using the attachment network Q-sort for profiling one's attachment style with different attachment-figures.

Attachment instruments vary substantially in practicability of administration, employment of categorical versus dimensional scoring, quality of scales, and applicability to different attachment figures. The Attachment Network Q-sort (ANQ) is a self-report, quasi-qualitative instrument that discriminates relationship-specific attachment styles for multiple attachment figures. The current study assesses the properties of the ANQ in psychotherapy patients and in non-patient respondents, using mother, father and romantic partner as possible attachment figures. Analyzing the ANQ-data with latent class analysis, we found four types or classes of participants: a group with an overall secure profile, a group only insecure for father, a group only insecure for mother, and a group insecure for mother as well as father but not for partner (if available). These profiles proved to have good concurrent, discriminant and construct validity. We conclude that the ANQ is potentially a useful alternative clinical self-report instrument to assess combinations of attachment styles for a range of attachment figures such as parents and a romantic partner.

Lifetime and prospective associations among personality trait domains and suicide-related behaviors in patients with severe mental illness.

BACKGROUND: Despite extensive research and clinical efforts, the suicide rate in the United States continues to rise, driving the need for more research to identify latent factors that increase risk for suicide and to guide treatment decision-making. METHODS: The current study examined a large cohort (N = 1,219) of high-risk psychiatric inpatients to explore associations between personality traits and suicide-related variables measured retrospectively (lifetime history prior to hospital admission) and prospectively (at discharge and 12-month follow-up). RESULTS: Lifetime suicide-related behavior (SRB: combination of ideational severity, aborted, interrupted, actual attempts, and non-suicidal self-injury) was associated with age (younger), gender (female), and elevated scores on the Personality Inventory for DSM-5 (PID-5) negative affectivity, borderline trait composite score, and five-factor model traits of conscientiousness and neuroticism. Patients who manifested persistent suicidal ideation throughout a 6-8 week inpatient treatment (n = 162; 16.9%) tended to be younger, female, and to have elevated PID-5 borderline trait composite scores. Twelve-month post-discharge SRB was predicted by elevated PID-5 borderline trait composite scores. LIMITATIONS: Personality traits accounted for a small amount of variance in the overall model, thus limiting prediction based on individual traits. CONCLUSIONS: This large sample of high-risk inpatients with longitudinal outcomes provides a rare assessment of proximal personality traits in predicting lifetime SRB, persistent suicidal ideation observed during the course of a 6-8-week intensive inpatient treatment, and SRB outcomes within 12 months after discharge from hospitalization. Personality traits should be included in future attempts to create predictive algorithms that include relevant biological data (neuroimaging, genetic, microbiome).

Differentiating bipolar disorder from borderline personality disorder: Diagnostic accuracy of the difficulty in emotion regulation scale and personality inventory for DSM-5.

BACKGROUND: Confusion abounds when differentiating the diagnoses of bipolar disorder (BD) from borderline personality disorder (BPD). This study explored the relative clinical utility of affective instability and self-report personality trait measures for accurate identification of BD and BPD. METHODS: Receiver operator characteristics and diagnostic efficiency statistics were calculated to ascertain the relative diagnostic efficiency of self-report measures. Inpatients with research-confirmed diagnoses of BD (n = 341) or BPD (n = 381) completed the Difficulty in Emotion Regulation Scale (DERS) and Personality Inventory for DSM-5 (PID-5). RESULTS: The total score for DERS evidenced relatively poor accuracy for differentiating the disorders (AUC = 0.72, SE = 0.02, p < .0001), while subscales of affective instability measures yielded fair discrimination (AUC range = 0.70-0.59). The PID-5 BPD algorithm (consisting of emotional lability, anxiousness, separation insecurity, hostility, depressivity, impulsivity, and risk taking) evidenced moderate-to-excellent accuracy (AUC = 0.83, SE = 0.04, p < .0001) with a good balance of specificity (SP = 0.79) and sensitivity (SN = 0.77). CONCLUSION: Findings support the use of the PID-5 algorithm for differentiating BD from BPD. Furthermore, findings support the accuracy of the DSM-5 alternative model Criteria B trait constellation for differentiating these two disorders with overlapping features.

A naturalistic longitudinal study of extended inpatient treatment for adults with borderline personality disorder: An examination of treatment response, remission and deterioration.

BACKGROUND: Experts express reluctance to hospitalize patients with borderline personality disorder (BPD) for more than a few days, arguing that extended inpatient care leads to deterioration and adverse events. To date, there is no empirical support for these assertions. AIMS: The current study examined the assumption of iatrogenic effects among BPD adults. METHODS: Clinically significant and reliable change in symptoms, functional capacities, and adverse events were quantified for both inpatients with BPD (n = 245) and a well-matched inpatient reference (n = 220) sample. Latent growth curve (LGC) models were used to evaluate moderators of the trajectory of PHQ-9 depression scores over the course of hospitalization. RESULTS: Large effect size improvements were observed in depression, anxiety, suicidal ideation and functional disability among patients with BPD (Cohen's d ≥ 1.0) and those in the reference sample (Cohen's d ≥ .80). Clinical deterioration and adverse events were rare (occurring in no more than 1.1% of BPD and reference patients on any outcome) with no difference across patient cohorts. BPD diagnosis failed to influence the trajectory of continuous depression severity. Rather, trait emotion dysregulation was associated with initial depression severity. CONCLUSIONS: Twenty-five years ago it was assumed that adults with BPD could not benefit from psychiatric treatment. Today there are a number of effective evidence-based outpatient treatments for BPD, but beliefs about extended inpatient treatment have changed little. Current results indicate that extended inpatient treatment can result in significant and clinically meaningful symptomatic and functional improvement in BPD patients without iatrogenic effects.

Clinical utility of the DSM-5 alternative model for borderline personality disorder: Differential diagnostic accuracy of the BFI, SCID-II-PQ, and PID-5.

BACKGROUND: With the publication of DSM 5 alternative model for personality disorders it is critical to assess the components of the model against evidence-based models such as the five factor model and the DSM-IV-TR categorical model. This study explored the relative clinical utility of these models in screening for borderline personality disorder (BPD). METHODS: Receiver operator characteristics and diagnostic efficiency statistics were calculated for three personality measures to ascertain the relative diagnostic efficiency of each measure. A total of 1653 adult inpatients at a specialist psychiatric hospital completed SCID-II interviews. Sample 1 (n=653) completed the SCID-II interviews, SCID-II Questionnaire (SCID-II-PQ) and the Big Five Inventory (BFI), while Sample 2 (n=1,000) completed the SCID-II interviews, Personality Inventory for DSM5 (PID-5) and the BFI. RESULTS: BFI measure evidenced moderate accuracy for two composites: High Neuroticism+ low agreeableness composite (AUC=0.72, SE=0.01, p<0.001) and High Neuroticism+ Low+Low Conscientiousness (AUC=0.73, SE=0.01, p<0.0001). The SCID-II-PQ evidenced moderate-to-excellent accuracy (AUC=0.86, SE=0.02, p<0.0001) with a good balance of specificity (SP=0.80) and sensitivity (SN=0.78). The PID-5 BPD algorithm (consisting of elevated emotional lability, anxiousness, separation insecurity, hostility, depressivity, impulsivity, and risk taking) evidenced moderate-to-excellent accuracy (AUC=0.87, SE=0.01, p<0.0001) with a good balance of specificity (SP=0.76) and sensitivity (SN=0.81). CONCLUSIONS: Findings generally support the use of SCID-II-PQ and PID-5 BPD algorithm for screening purposes. Furthermore, findings support the accuracy of the DSM 5 alternative model Criteria B trait constellation for diagnosing BPD. Limitations of the study include the single inpatient setting and use of two discrete samples to assess PID-5 and SCID-II-PQ.

Patient-reported Outcomes in Practice: Clinicians' Perspectives From an Inpatient Psychiatric Setting.

The use of patient-reported outcomes (PROs) has become increasingly common. They have been used to assess quality of care and to support policy decisions, but the evidence concerning their utility to improve patient outcomes is inconsistent. A better understanding of clinicians' experience with PROs has the potential to improve their effectiveness. This exploratory, quantitative, and qualitative study investigated the perspectives of clinicians (N=70) from multiple disciplines (psychiatrists, psychologists, social workers, and psychiatric nurses) on the utility of PROs in an inpatient psychiatric setting. During scheduled, monthly, discipline-specific administrative meetings, clinicians in attendance completed a 1-time, 5-item survey. The highest rated item related to the frequency of reviewing outcomes reports; this item was rated higher than all other items (mean±SD, 4.5±1.5), which 37.5% of the participants in the overall sample stated they "always" did. The lowest rated item related to the frequency of conveying the results of the outcomes reports to patients (3.3±1.9), which 20% of participants reported "always" doing; this item was rated lower than all other items (P<0.03). Qualitative analyses were based on 30 comments from 22 clinicians, which resulted in the emergence of 6 themes. The 2 themes that received the highest number of comments related to: (1) the sensitivity and specificity of measures across the PROs platform and (2) the value of the reports in directly influencing treatment decisions. Clinicians' relatively favorable perspective of PROs in practice in this study may be related to the assessment-oriented culture at the study institution. Nonetheless, many barriers to the routine use of PROs exist. Addressing clinician concerns has the potential to improve utilization of this facet of good clinical care.

An Open Effectiveness Trial of a Multimodal Inpatient Treatment for Depression and Anxiety Among Adults With Serious Mental Illness.

OBJECTIVE: This prospective open effectiveness trial examined symptom change trajectories and rates of remission from depression and anxiety in an intensive multimodal inpatient treatment for adults with serious mental illness (SMI). Patient baseline characteristics were examined as mediators/moderators of treatment response. METHODS: Adult inpatients with SMI (N = 994) completed an average of 39 days of inpatient treatment. Latent growth curve (LGC) methods were used to model symptom trajectories, estimating expected remission based on individual patterns of change observed across the sample. RESULTS: Absolute reductions in symptoms were substantial, with large effect size improvements for both depression (d = 1.21, 95% CI [1.13, 1.29]) and anxiety (d = 1.13, 95% CI [1.05, 1.21]). For those presenting with elevated depressive symptoms (Patient Health Questionnaire-Depression ≥ 5.0; 87.5% of the sample), 46.9% evidenced remission from admission to discharge. Among patients presenting with significant anxiety (Patient Health Questionnaire-Generalized Anxiety Disorder Screener ≥ 5.0; 84.5% of the sample), 50.0% evidenced remission from admission to discharge. Mediation analyses revealed that depression and anxiety severity decreased more rapidly with increasing age and initial levels of experiential avoidance. CONCLUSIONS: Rates of remission of depression and anxiety were greater than anticipated in this large cohort of adult SMI inpatients and may be related to intensity and length of hospitalization.