A Novel Screening and Diagnostic Tool for Child and Adolescent Psychiatric Disorders for Telepsychiatry.

BACKGROUND: A diagnostic tool designed as part of a telepsychiatry application for diagnosis and management of child and adolescent psychiatric disorders in India was developed considering the paucity of trained child psychiatrists and mental health professionals in India. MATERIALS AND METHODS: The diagnostic tool consisted of screening and 10(th) revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) criteria-based diagnostic algorithms for 18 psychiatric disorders seen in childhood and adolescence. Accuracy of diagnoses and feasibility of use of the tool was examined by comparing it with detailed semi-structured clinical evaluations by a qualified psychiatrist with 50 psychiatric patients (children and adolescents). STATISTICAL ANALYSIS: Descriptive analyses and paired t-tests were conducted to compare the mean number of diagnosis generated by the two interviews. Sensitivity, specificity, positive and negative predictive values were computed for the screening and the diagnostic sub-modules of the tool, compared to the clinical diagnoses. Kappa coefficients were computed to assess agreement between the diagnoses generated by the diagnostic sub-module and the clinical diagnoses. RESULTS: The screening sub-module had high sensitivity, high specificity and negative predictive values for all disorders. For the diagnostic sub-module, there was moderate (kappa-0.4-0.6) to substantial agreement (kappa > 0.6) for all the disorders, (except psychosis) and high sensitivity (barring a few disorders) and specificity for almost all the disorders. Positive predictive values were found to be acceptable to high for most disorders, with consistently high negative predictive values. CONCLUSION: The new tool was found to be comprehensive, reasonably short and feasible. Results showed acceptable level of accuracy in diagnosis generated by the tool.

Development of a novel diagnostic system for a telepsychiatric application: a pilot validation study.

BACKGROUND: A net-based, decision support system for diagnostic assessment and management of psychiatric disorders, developed as part of a telepsychiatry service, which aims to deliver mental health care to underserved population of remote areas in India is described. This paper presents the development and preliminary results of diagnostic validation of the application, intended for use among adult patients. The bilingual (English and Hindi) diagnostic tool consists of a core diagnostic section comprising a screening sub-module and criteria-based diagnostic sub-modules for 18 adult psychiatric disorders, and additional sections covering background information. The diagnostic tool of the application was examined among 100 consecutive consenting adult outpatients, by comparing it with detailed semi-structured clinical assessments led by a consultant psychiatrist, on accuracy of diagnoses generated, and examining the feasibility of its use. RESULTS: The screening sub-module had high sensitivity and high specificity, low positive predictive values, but high negative predictive values for most disorders. For the diagnostic sub-modules, there was moderate (kappa = 0.4-0.6), to substantial agreement (kappa > 0.6) between diagnoses generated by the tool and consultants' diagnoses, for all the disorders except dysthymia. Sensitivity was high barring a few disorders. Specificity was high for all the disorders, positive predictive values were acceptable to high for most disorders, and negative predictive values were consistently high. Completion rate was 100%; average time taken was five minutes for screening alone, and 30 minutes for complete assessment with screening and criteria-based evaluation. A majority of the patients, their relatives, and interviewers were satisfied with the interview. CONCLUSIONS: The preliminary results indicated that despite some limitations, the new diagnostic system was reasonably comprehensive, time-efficient and feasible, with an acceptable level of diagnostic accuracy. Hence, it appeared to be suitable for use as a telepsychiatric application.

A self-guided relaxation module for telepsychiatric services: development, usefulness, and feasibility.

OBJECTIVE: A modified form of the standard autogenic relaxation exercise was developed as part of a telepsychiatry project, which aims to deliver mental healthcare to remote areas through the net, and through the agency of non-specialists. This study describes the development and evaluation of a brief and simpler form of a relaxation technique, the Self-Guided Relaxation (SGR). METHOD: SGR is a systematic technique to focus on muscle groups and feel the heaviness and relaxation through suggestions to induce relaxation in the body. The SGR was taught to 37 patients with different psychiatric disorders over two sessions a week apart. Measures of change used were scores on the Hamilton Anxiety Rating Scale (HAM-A) and a visual analog scale. Its usefulness and feasibility was examined over a follow-up period of one month. Additionally a group of non-specialists was trained in SGR supplemented by audiovisual aids and printed instructions. These therapists rated the ease in learning and administering SGR in patients. RESULTS: There was a consistent reduction in the HAM-A scores over the follow-up period among patients. Improvements were also noted in positive experiences, adherence, depth of relaxation achieved, perceived benefit, and patient satisfaction. Majority of the patients, relatives, and therapists reported that they could administer or practice SGR after having learned the technique in a single session lasting about 30 minutes. The use of audio-video aids and manual was helpful in making the process of learning easy. CONCLUSIONS: Preliminary findings of usefulness, feasibility, and acceptance of the SGR were encouraging. These findings pave way for larger, randomized controlled study and for testing applicability of the SGR as a net-based psychological intervention.