Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study.

BACKGROUND: Mood disorders and depression are pervasive and significant problems worldwide. These represent severe health and emotional impairments for individuals and a considerable economic and social burden. Therefore, fast and reliable diagnosis and appropriate treatment are of great importance. Verbal communication can clarify the speaker's mental state-regardless of the content, via speech melody, intonation, and so on. In both everyday life and clinical conditions, a listener with appropriate previous knowledge or a trained specialist can grasp helpful knowledge about the speaker's psychological state. Using automated speech analysis for the assessment and tracking of patients with mental health issues opens up the possibility of remote, automatic, and ongoing evaluation when used with patients' smartphones, as part of the current trends toward the increasing use of digital and mobile health tools. OBJECTIVE: The primary aim of this study is to evaluate the measurements of the presence or absence of depressive mood in participants by comparing the analysis of noncontentual speech parameters with the results of the Patient Health Questionnaire-9. METHODS: This proof-of-concept study included participants in different affective phases (with and without depression). The inclusion criteria included a neurological or psychiatric diagnosis made by a specialist and fluent use of the German language. The measuring instrument was the VoiceSense digital voice analysis tool, which enables the analysis of 200 specific speech parameters based on machine learning and the assessment of the findings using Patient Health Questionnaire-9. RESULTS: A total of 292 psychiatric and voice assessments were performed with 163 participants (males: n=47, 28.8%) aged 15 to 82 years. Of the 163 participants, 87 (53.3%) were not depressed at the time of assessment, and 88 (53.9%) participants had clinically mild to moderate depressive phases. Of the 163 participants, 98 (32.5%) showed subsyndromal symptoms, and 19 (11.7%) participants were severely depressed. In the speech analysis, a clear differentiation between the individual depressive levels, as seen in the Patient Health Questionnaire-9, was also shown, especially the clear differentiation between nondepressed and depressed participants. The study showed a Pearson correlation of 0.41 between clinical assessment and noncontentual speech analysis (P<.001). CONCLUSIONS: The use of speech analysis shows a high level of accuracy, not only in terms of the general recognition of a clinically relevant depressive state in the participants. Instead, there is a high degree of agreement regarding the extent of depressive impairment with the assessment of experienced clinical practitioners. From our point of view, the application of the noncontentual analysis system in everyday clinical practice makes sense, especially with the idea of a quick and unproblematic assessment of the state of mind, which can even be carried out without personal contact. TRIAL REGISTRATION: ClinicalTrials.gov NCT03700008; https://clinicaltrials.gov/ct2/show/NCT03700008.

Imaginal Retraining Reduces Cigarette Smoking: A Randomized Controlled Study.

OBJECTIVES: Smoking is a highly prevalent addictive behavior with severe and life-shortening health consequences. This is the first study to evaluate the efficacy of a newly developed imaginal variant of approach bias modification (ABM) (i.e., imaginal retraining) for the reduction of craving for tobacco and actual smoking behavior. METHODS: We randomized 345 smokers to imaginal retraining (self-help manual) or a control group (either active control or wait-list control). Assessments were carried out online. The treatment interval was 6 weeks. Craving for tobacco represented the primary outcome. The study was registered as DRKS00016860. RESULTS: Retention was 79.7% with no difference between groups. The intention-to-treat (ITT) analyses were significant for the primary outcome (Visual Analogue Scale on craving for tobacco) as well as subjective reduction of smoking (45.5 vs. 26.4%) in favor of imaginal retraining. In the treatment group, 47.6% performed the exercises at least once. This subgroup (per-protocol [PP] sample) showed a significant reduction in tobacco dependency as measured with the Cigarette Dependence Scale (short and long forms) and the Fagerström Test for Nicotine Dependence relative to controls. Number of daily cigarettes declined to a greater extent in imaginal retraining in the PP but not ITT analysis. A small dose-effect relationship emerged between craving and frequency of performance of the technique. CONCLUSION: When used regularly, imaginal retraining may reduce craving for tobacco and actual smoking behavior in a subgroup of smokers. In view of the large subgroup that did not read the manual or did not perform the exercises, alternative ways of conveying the imaginal retraining technique should be sought (e.g., demonstration via video clips). To conclude, imaginal retraining may represent a simple low-threshold technique to reduce smoking and assist current evidence-based treatment programs targeted at abstinence. It needs to be tested whether its mechanism of action deviates from standard ABM.

Development of a Digital Content-Free Speech Analysis Tool for the Measurement of Mental Health and Follow-Up for Mental Disorders: Protocol for a Case-Control Study.

BACKGROUND: The prevalence of mental disorders worldwide is very high. The guideline-oriented care of patients depends on early diagnosis and regular and valid evaluation of their treatment to be able to quickly intervene should the patient's mental health deteriorate. To ensure effective treatment, the level of experience of the physician or therapist is of importance, both in the initial diagnosis and in the treatment of mental illnesses. Nevertheless, experienced physicians and psychotherapists are not available in enough numbers everywhere, especially in rural areas or in less developed countries. Human speech can reveal a speaker's mental state by altering its noncontent aspects (speech melody, intonations, speech rate, etc). This is noticeable in both the clinic and everyday life by having prior knowledge of the normal speech patterns of the affected person, and with enough time spent listening to the patient. However, this time and experience are often unavailable, leaving unused opportunities to capture linguistic, noncontent information. To improve the care of patients with mental disorders, we have developed a concept for assessing their most important mental parameters through a noncontent analysis of their active speech. Using speech analysis for the assessment and tracking of mental health patients opens up the possibility of remote, automatic, and ongoing evaluation when used with patients' smartphones, as part of the current trends toward the increasing use of digital and mobile health tools. OBJECTIVE: The primary objective of this study is to evaluate measurements of participants' mental state by comparing the analysis of noncontent speech parameters to the results of several psychological questionnaires (Symptom Checklist-90 [SCL-90], the Patient Health Questionnaire [PHQ], and the Big 5 Test). METHODS: In this paper, we described a case-controlled study (with a case group and one control group). The participants will be recruited in an outpatient neuropsychiatric treatment center. Inclusion criteria are a neurological or psychiatric diagnosis made by a specialist, no terminal or life-threatening illnesses, and fluent use of the German language. Exclusion criteria include psychosis, dementia, speech or language disorders in neurological diseases, addiction history, a suicide attempt recently or in the last 12 months, or insufficient language skills. The measuring instrument will be the VoiceSense digital voice analysis tool, which enables the analysis of 200 specific speech parameters, and the assessment of findings using psychometric instruments and questionnaires (SCL-90, PHQ, Big 5 Test). RESULTS: The study is ongoing as of September 2019, but we have enrolled 254 participants. There have been 161 measurements completed at timepoint 1, and a total of 62 participants have completed every psychological and speech analysis measurement. CONCLUSIONS: It appears that the tone and modulation of speech are as important, if not more so, than the content, and should not be underestimated. This is particularly evident in the interpretation of the psychological findings thus far acquired. Therefore, the application of a software analysis tool could increase the accuracy of finding assessments and improve patient care. TRIAL REGISTRATION: ClinicalTrials.gov NCT03700008; https://clinicaltrials.gov/ct2/show/NCT03700008. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/13852.

Differences in Attitudes Toward Online Interventions in Psychiatry and Psychotherapy Between Health Care Professionals and Nonprofessionals: A Survey.

Background:Although the use of e-mental health interventions and their evaluation is already well advanced in countries such as the United States and Australia, research in this area is still in the early stages in Germany. Moreover, existing programs are used only to a small extent by patients, although physicians and therapists generally have a positive attitude toward their use. To help promote the use of online interventions in the future, an analysis of the differences in opinions and attitudes toward e-mental health interventions between health care professionals and nonprofessionals is necessary.Objective:This study aimed to examine the differences in attitudes toward online interventions between health care professionals and nonprofessionals.Methods:This study examined 92 physicians, 36 psychotherapists, and 1,353 randomly recruited nonprofessionals with the eight-item questionnaire entitled "Attitudes on telemedicine in psychiatry and psychotherapy (ATiPP)."Results:The questionnaires of n = 62 physicians, n = 37 psychotherapists, and n = 1,353 nonprofessionals were included in the analysis. Overall, nonprofessionals rate the use of telemedicine more critically than professionals. The itemwise t tests show significant differences between health care professionals and nonprofessionals on six out of eight items. The analyses of variance with post hoc tests for each single item also found differences between the groups (physicians vs. therapists vs. telephone participants vs. practice sample).Conclusion:There are significant differences in attitudes toward online interventions between professionals and nonprofessionals.

Development of a Questionnaire to Measure the Attitudes of Laypeople, Physicians, and Psychotherapists Toward Telemedicine in Mental Health.

BACKGROUND: In the field of psychiatry and psychotherapy, there are now a growing number of Web-based interventions, mobile phone apps, or treatments that are available via remote transmission screen worldwide. Many of these interventions have been shown to be effective in studies but still find little use in everyday therapeutic work. However, it is important that attitude and expectation toward this treatment are generally examined, because these factors have an important effect on the efficacy of the treatment. To measure the general attitude of the users and prescribers toward telemedicine, which may include, for instance, Web-based interventions or interventions through mobile phone apps, there are a small number of extensive tests. The results of studies based on small groups of patients have been published too, but there is no useful short screening tool to give an insight into the general population's attitude. We have developed a screening instrument that examines such attitude through a few graded questions. OBJECTIVE: This study aimed to explore the Attitude toward Telemedicine in Psychiatry and Psychotherapy (ATiPP) and to evaluate the results of general population and some subgroups. METHODS: In a three-step process, the questionnaire, which is available in three versions (laypeople, physicians, and psychologists), was developed. Afterwards, it was evaluated by four groups: population-representative laypeople, outpatients in different faculties, physicians, and psychotherapists. RESULTS: The results were evaluated from a total of 1554 questionnaires. The sample population included 1000 laypeople, 455 outpatients, 62 physicians, and 37 psychotherapists. The reliability of all three versions of the questionnaire seemed good, as indicated by the Cronbach alpha values of .849 (the laypeople group), .80 (the outpatients' group), .827 (the physicians' group), and .855 (the psychotherapists' group). CONCLUSIONS: The ATiPP was found to be useful and reliable for measuring the attitudes toward the Web-based interventions in psychiatry and psychotherapy and should be used in different studies in this field in the future to evaluate and reflect the attitude of the participants.

Beyond the usual suspects: positive attitudes towards positive symptoms is associated with medication noncompliance in psychosis.

Antipsychotic medication represents the treatment of choice in psychosis according to clinical guidelines. Nevertheless, studies show that half to almost three-quarter of all patients discontinue medication with antipsychotics after some time, a fact which is traditionally ascribed to side-effects, mistrust against the clinician and poor illness insight. The present study investigated whether positive attitudes toward psychotic symptoms (ie, gain from illness) represent a further factor for medication noncompliance. An anonymous online survey was set up in order to prevent conservative response biases that likely emerge in a clinical setting. Following an iterative selection process, data from a total of 113 patients with a likely diagnosis of schizophrenia and a history of antipsychotic treatment were retained for the final analyses (80%). While side-effect profile and mistrust emerged as the most frequent reasons for drug discontinuation, 28% of the sample reported gain from illness (eg, missing voices, feeling of power) as a motive for noncompliance. At least every fourth patient reported the following reasons: stigma (31%), mistrust against the physician/therapist (31%), and rejection of medication in general (28%). Approximately every fifth patient had discontinued antipsychotic treatment because of forgetfulness. On average, patients provided 4 different explanations for noncompliance. Ambivalence toward symptoms and treatment should thoroughly be considered when planning treatment in psychosis. While antipsychotic medication represents the evidence-based cornerstone of the current treatment in schizophrenia, further research is needed on nonpharmacological interventions for noncompliant patients who are willing to undergo intervention but refuse pharmacotherapy.

Basal metabolic rate in narcoleptic patients.

STUDY OBJECTIVES: We investigated basal metabolic rate (BMR) and energy expenditure (EE) in narcoleptic patients and in BMI- and age-matched controls in order to explore the hypothesis that a reduced BMR or EE plays a role in narcolepsy-associated obesity. DESIGN: Control group design with comparison of EE and BMR. EE was determined by indirect calorimetry using the Deltatrac Metabolic Monitor system. BMR was calculated from the oxygen consumption (VO2) and the carbon dioxide consumption (VCO2) measurements after 12 hours of fasting in the morning. PARTICIPANTS: 13 narcoleptic patients and 30 controls. RESULTS: BMR and EE were not significantly reduced when all subjects were included into the analysis. Subgroup analysis revealed that only non-obese narcoleptics, but not obese narcoleptics had reduced BMRs in comparison to the BMI matched controls. CONCLUSION: Our study suggests that EE plays a role in narcolepsy associated obesity. We propose that narcolepsy may lead to a shift of individual BMI set points.

Cure or curse? Ambivalent attitudes towards neuroleptic medication in schizophrenia and non-schizophrenia patients.

Neuroleptic non-compliance remains a serious challenge for the treatment of psychosis. Non-compliance is predominantly attributed to side effects, lack of illness insight, reduced well-being or poor therapeutic alliance. However, other still neglected factors may also play a role. Further, little is known about whether psychiatric patients without psychosis who are increasingly prescribed neuroleptics differ in terms of medication compliance or about reasons for non-compliance by psychosis patients. As direct questioning is notoriously prone to social desirability biases, we conducted an anonymous survey. After a strict selection process blind to results, 95 psychiatric patients were retained for the final analyses (69 participants with a presumed diagnosis of schizophrenia psychosis, 26 without psychosis). Self-reported neuroleptic non-compliance was more prevalent in psychosis patients than non-psychosis patients. Apart from side effects and illness insight, main reasons for non-compliance in both groups were forgetfulness, distrust in therapist, and no subjective need for treatment. Other notable reasons were stigma and advice of relatives/acquaintances against neuroleptic medication. Gain from illness was a reason for non-compliance in 11-18% of the psychosis patients. Only 9% of all patients reported no side effects and full compliance and at the same time acknowledged that neuroleptics worked well for them. While pills were preferred over depot injections by the majority of patients, depot was judged as an alternative by a substantial subgroup. Although many patients acknowledge the need and benefits of neuroleptic medication, non-compliance was the norm rather than the exception in our samples.

Prevalence of eating disorders and eating attacks in narcolepsy.

Narcoleptic patients suffer frequently from obesity and type II diabetes. Most patients show a deficit in the energy balance regulating orexinergic system. Nevertheless, it is not known, why narcoleptic patients tend to be obese. We examined 116 narcoleptic patients and 80 controls with the structured interview for anorectic and bulimic eating disorders (SIAB) to test the hypothesis that typical or atypical eating attacks or eating disorders may be more frequent in narcoleptic patients. No difference in the current prevalence of eating disorders bulimia nervosa, binge eating disorder, or anorexia nervosa was found, nor was the frequency of eating attacks higher in the narcolepsy group. We conclude that present eating disorders and eating attacks as defined in DSM IV are not the reason for the observed differences in body composition. Additional factors, such as basal metabolic rates and lifestyle factors need to be considered.

Peripheral leptin levels in narcoleptic patients.

BACKGROUND: Narcolepsy is a severe sleep disorder that in most patients is characterized by the deficiency of central orexin. Clinically, narcolepsy is associated with obesity. Currently, there is a literature controversy about the potential alteration of leptin levels in narcoleptic patients. Theoretically, diminished leptin levels could partially contribute to the observed overweight of patients. Two studies have reported decreased leptin levels, whereas a larger, recent study failed to detect differences between patients and controls. METHODS: To help settle the controversy, we have measured peripheral leptin levels in 42 narcoleptic patients and in 31 body mass index-matched controls. RESULTS: No significant differences in leptin levels between the groups were observed. Mean leptin levels were 16.0 +/- 14.9 ng/mL in the narcoleptic men and 30.4 +/- 17.8 ng/mL in the narcoleptic women. The corresponding values for the controls were 21.2 +/- 17.0 ng/mL (P = 0.49, men) and 33.9 +/- 16.9 ng/mL (P = 0.31, women). In addition, no correlation was found between leptin levels and clinical symptomatology in the narcoleptic patients. CONCLUSIONS: Taken together, the data argue against a major deterioration of leptin secretion in narcoleptic patients.

[Lithium intoxication mimics Alzheimer's disease in PET and clinical findings]. / Lithiumintoxikation imitiert Alzheimer-Demenz in PET und klinischem Befund.

To improve specificity and sensitivity in the diagnosis of Alzheimer's disease, neuropsychological tests and fluorine-18-FDG-PET are increasingly used. Here we present a patient whose lithium intoxication mimicked Alzheimer's disease both clinically and in 18-FDG-PET. This case serves as a reminder of the importance of the differential diagnosis of dementias and is intended to highlight one potential pitfall.