Using the Millon Behavioral Medicine Diagnostic to Delineate Treatment Outcomes in Rehabilitation

Patients undergoing rehabilitation have been evidenced to improve in different ways depending on their coping styles. Amplifiers, Repressors, and Social Copers are examples of patients who present differently in rehabilitation settings and tend to have differing levels of success in their response to treatment. The current study examined the differential treatment outcomes of three coping style groups undergoing multidisciplinary rehabilitation. A sample of 59 patients suffering from injuries associated with chronic pain were assessed using the Multidimensional Pain Inventory, Beck Depression Inventory, and Beck Anxiety Inventory before, during, and after multidisciplinary pain management treatment. Coping style groups derived from the Millon Behavioral Medicine Diagnostic consisting of Amplifiers, Repressors, and Social Copers were compared with regard to reductions in depression, anxiety, pain, functional impairment, and associated outcomes. Repeated measures ANOVA revealed that Amplifiers, Repressors, and Social Copers had varying levels of success in the treatment program. Hierarchical linear modeling analyses revealed the coping style groups to have significantly different change curves from pre to post-treatment in depression, anxiety, pain severity, functional impairment, affective distress, life control, social support, and soliciting help from others. These findings support prior research emphasizing the value of tailoring treatments in rehabilitation settings toward patients’ coping styles in order to maximize outcomes. A program (provided in either SAS or SPSS syntax) that will compute MBMD coping style group membership will be provided upon request. Request by e-mail to: dcipher@hsc.unt.edu or by fax to: +1-817-7352270.     

A Psychometric Analysis of the Child Behavior Checklist DSM-Oriented Scales

The Child Behavior Checklist for Ages 6–18 (CBCL/6-18) possesses newly developed DSM-Oriented Scales, constructed through expert clinical judgment to match selected categories for behavioral/emotional problems as described in the DSM-IV. The present investigation examined the basic psychometric properties for all six DSM-Oriented Scales (i.e., Affective, Anxiety, Somatic, Attention-Deficit/Hyperactivity, Oppositional, and Conduct Scales) in a large clinical sample of children and adolescents (N = 673). Findings from the present study provide strong evidence for the reliability, as well as convergent and discriminative validity, of these scales. It appears that the DSM-Oriented Scales may provide accurate supplementary information that may be considered when formulating clinical diagnoses.

Diagnostic Discrimination of Patients with Different OCD Main Symptom Domains from each Other and from Anxious and Depressive Controls

The extent to which the subscales of multidimensional OCD measures accurately distinguish patients with specific OCD main symptom domains from controls at different cutscores has not yet been examined. Diagnostic accuracy of OCD measures usually is determined by comparing the total scores of heterogeneous OCD samples and controls and therefore may underestimate the measures’ discrimination potential. In the current study, subtype-specific diagnostic accuracy and criterion-related validity of the Obsessive-Compulsive Inventory-Revised (OCI-R) subscales were examined in 327 patients with OCD, anxiety, and/or depressive disorders. All subscales demonstrated good to excellent criterion-related validity and diagnostic accuracy for distinguishing patients with specific OCD main symptom domains from controls. As expected, the single OCI-R subscales lead to more accurate diagnostic decisions than the total scale. Thus, the subscale-specific cutscores significantly improve the OCI-R’s utility for subtype-specific treatment planning and outcome measurement. Furthermore, an alternative classification algorithm distinguishing patients with OCD from controls based on subscale cutscores leads to a better sensitivity, but also to a lower specificity than discrimination based on the total scale cutscore.     

Specificity of autonomic arousal to DSM-IV panic disorder and posttraumatic stress disorder

Although research on the hierarchical model of anxiety and depression has confirmed that autonomic arousability (AA) is more germane to panic disorder with or without agoraphobia (PD/A) than other DSM-IV anxiety and mood disorders, studies have not evaluated the differential relevance of AA to posttraumatic stress disorder (PTSD). This issue was addressed in multivariate analytic models using 295 outpatients with anxiety and mood disorders. Consistent with prediction, the presence of current DSM-IV PTSD and PD/A was significantly predictive of AA, even when other forms of anxiety disorder comorbidity were held constant. Moreover, latent structural analyses indicated that PTSD and PD/A were the only DSM-IV anxiety disorder constructs to have significant direct effects on AA (in accord with previous findings, the DSM-IV constructs of generalized anxiety disorder, social phobia, and obsessive-compulsive disorder did not have significant structural relationships with AA). The current findings, which attest to the specificity of AA to PTSD and PD/A, are discussed in context of other clinically salient shared features of these disorders and their relevance to treatment and diagnostic classification.     

A General Factor of Personality in the Millon Clinical Multiaxial Inventory-III, the Dimensional Assessment of Personality Pathology, and the Personality Assessment Inventory

A General Factor of Personality (GFP) occupies the apex of the hierarchy in three prominent personality disorder inventories. On the Millon Clinical Multiaxial Inventory-III, a GFP accounted for 41% of the variance in two second-order factors, 31% of the variance in five first-order factors, and 26% of the variance in all 24 scales. On the Dimensional Assessment of Personality Pathology, a GFP accounted for 61% of the variance in six first-order factors and 36% of the variance in all 18 scales. In a cross-validation study of the Personality Assessment Inventory, a GFP accounted for 65% of the variance in two second-order factors, 47% of the variance in five first-order factors, and 27% of the variance in all 18 scales.     

Diagnostic accuracy of the Millon test computer reports for bipolar affective disorder

The diagnostic accuracy of the Millon Clinical Multiaxial Inventory (MCMI) computer reports was assessed for the sample of 48 patients reliably identified as having bipolar affective disorder. Only 13 of the 48 reports were accurate in classifying the patients as having bipolar affective disorder, and this was significantly (p < .01) less than 50% of the cases. The diagnostic accuracy clearly left much to be desired. Additional research is needed to assess the validity of MCMI diagnostic suggestions for other patient groups.     

认知诊断中多分属性与二分属性的对比研究

摘 要：Karelitz（2004）和詹沛达等（2016）认为1个多分属性内部(Lk+1)个水平的关系相当于Lk个部分满足线型层级关系的二分属性。本研究的目的是通过比较多分属性模型和二分属性模型的判准率,从而验证多分属性和二分属性间是否存在以上关系。结果表明：当属性个数较少时,两个模型的模式判准率相当,随着属性个数增加,多分属性模型的模式判准率高于二分属性模型的模式判准率。结论：在一定程度上,多分属性和二分属性之间确实存在以上关系,但两者并非完全等价,二者间的差异随着属性个数增加更加明显。     

Memory indexing of sequential symptom processing in diagnostic reasoning

In diagnostic reasoning, knowledge about symptoms and their likely causes is retrieved to generate and update diagnostic hypotheses in memory. By letting participants learn about causes and symptoms in a spatial array, we could apply eye tracking during diagnostic reasoning to trace the activation level of hypotheses across a sequence of symptoms and to evaluate process models of diagnostic reasoning directly. Gaze allocation on former locations of symptom classes and possible causes reflected the diagnostic value of initial symptoms, the set of contending hypotheses, consistency checking, biased symptom processing in favor of the leading hypothesis, symptom rehearsal, and hypothesis change. Gaze behavior mapped the reasoning process and was not dominated by auditorily presented symptoms. Thus, memory indexing proved applicable for studying reasoning tasks involving linguistic input. Looking at nothing revealed memory activation because of a close link between conceptual and motor representations and was stable even after one week.     

Intelligence artificielle et médecine : quelles règles éthiques et juridiques pour une IA responsable ?

Combining AI and medicine means talking about the medicine of the future, but even more about improving the quality of care. Its fields of application: predictive medicine, precision medicine, decision support, prevention, computer-assisted surgery, robotic support for the elderly, etc. are all related concerns: the possibility of maintaining human contact with the patient, the explicability of the algorithm - the collection of health data - and the improvement of the health care system. AI applications are already improving the quality of care. Its deployment at the heart of the medicine of the future is in constant evolution. To be acceptable and legitimate, the decisions of any algorithm must be understood and therefore explained. Only a good understanding of the diagnoses and therapies proposed by the AI application will allow doctors to discuss with their patients and to explain the possible alternatives. In the opposite case, the doctor risks to dismiss the use of algorithms because he will not be able to justify the decisions which will pose problems in terms of liability research in particular.