Participants
Ethical approval was obtained from the institutional review board of the Medical University of Vienna (#1383/2020) and patients and guardians gave written consent for study participation. Only patients between 12 and 18 years in well established, frequent treatment – i.e. at least weekly contacts – were invited to participate by their respective psychiatrists. 32 adolescent patients with mental health disorders were eligible and agreed to participate in the study. Two participants refused to participate. The mean age of the sample was 16·21 years (SD = 1·567; ranging from 12 to 18). 86·7% were female, 83·3% of the patients went to school or to work (at the time via distance-learning), 10% were the only child in the family, 90% lived with both or at least one parent in the same household. Table 1 gives an overview of the sample characteristics and diagnoses. There were no no-shows during teletherapy; one patient had a suicide attempt after the evaluated 4 weeks period and had to admitted to one of the inpatient units of the clinic.
Table 1
Description of the study sample (N = 30)
| No. (%) |
Hardware used for internet-based therapy | |
Smartphone Laptop/PC Other | 9 (30%) 14 (46·7%) 7 (23·3%) |
Siblings No siblings One sibling Two or more No answer | 2 (6·7%) 14 (46·7%) 13 (42·4%) 1 (3%) |
Persons living in the same household Two – Three Four or more | 16 (53·3%) 14 (46·7%) |
Diagnosis F28 Psychotic disorders, otherwise specified F32 Depressive episode F41.0 Panic disorder episodic paroxysmal anxiety F43.1 Post-traumatic stress disorder F42.2 Obsessive-Compulsive Disorder F50 Eating disorders F60.3 Emotionally unstable personality disorder F60.8 Personality disorder, otherwise specified F62.0 Enduring personality change after catastrophic experience | 1 (3%) 11 (37%) 1 (3%) 6 (20%) 2 (7%) 4 (13%) 1 (3%) 1 (3%) 2 (7%) |
Table 2. Correlations of reported symptom changes in response to teletherapy for patients with mental health disorders (N = 30) |
| | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
1 | response to internet-based therapy | 0·547 | 0·285 | 0·094 | 0·213 | 0·394 | -0·092 | -0·188 | -0·28 | 0·11 | 0·095 | 0·085 |
2 | reported symptom improvement | - | 0·335 | -0·024 | 0·036 | 0·671 | 0·081 | -0·071 | 0·041 | 0·469 | 0·495 | 0·543 |
3 | anxiety | | - | 0·21 | 0·188 | 0·557 | 0·122 | -0·089 | 0·062 | 0·29 | 0·201 | 0·429 |
4 | compulsions | | | - | 0·669 | -0·061 | 0·089 | 0·03 | 0·145 | -0·023 | -0·131 | 0·123 |
5 | obsessions | | | | - | -0·138 | 0·313 | -0·103 | -0·011 | 0·106 | 0·011 | -0·031 |
6 | mood | | | | | - | -0·09 | -0·129 | -0·126 | 0·389 | 0·332 | 0·609 |
7 | tension | | | | | | - | -0·104 | -0·154 | 0·31 | 0·14 | 0·181 |
8 | alcohol use | | | | | | | - | 0·023 | -0·106 | 0·081 | 0·062 |
9 | tobacco use | | | | | | | | - | -0·017 | 0·007 | -0·01 |
10 | self-harm thoughts | | | | | | | | | - | 0·68 | 0·336 |
11 | self-harm behavior | | | | | | | | | | - | 0·287 |
12 | suicidal ideations | | | | | | | | | | | - |
Note: Values in bold indicate significant results (p < 0·05) |
Procedure
We used the means of teletherapy available at our Department. Instahelp (brand of Insta Communications GmbH / Up to Eleven Digital Solutions GmbH), an existing platform conforming to Austrian data safeguarding measures, provided the platform for videocalls. The study was set up as a multi-layered project targeting differential research questions, so that a series of interviews (around 30 minutes each) was planned. The analysis of the first set of interviews aimed at forming a grounded hypothesis on specific needs of adolescents with mental health disorders during the COVID-19-pandemic and to gain insight into factors influencing the transition from face-to-face contacts into teletherapy. Upon interest, patients and guardians were contacted and informed by the study team. Since ethical approval was sought right after the onset of the lockdown, we were able to recruit patients when lockdown measures were still at their maximum (i.e. home quarantine). Upon arrival of a mailed written informed consent, dates for the interviews were set. Patients were asked if they would rather be interviewed via telephone or via videocall. Interviews were carried out by two 5-year residents in Child and Adolescent Psychiatry, both working at the out-patient unit.
Measurements
Interviews were semi-structured, containing questions to be rated on 3-, 4-, or 5-point Likert-scales, respectively, as well as open questions. Questions centred around following content: basic demographic data (as provided in Table 1), teletherapy (subjective rating in contrast to face-to-face contacts, device used, advantages and disadvantages), symptoms (subjective changes, specific psychopathology – thought disorder, anxiety, obsessions, compulsions, mood, tension –, non-suicidal self-injury (NSSI), suicidal ideations), substance use (alcohol and cigarettes), social context (family, friends, perceived social support), perception of COVID-19-associated measures including advantages and disadvantages and current thoughts. Where applicable, questions always included a contrast in the sense of relative change (before start of the pandemic-associated lock-down measures and at the time of the interview). Traumatic experiences (past and present) in the areas of physical and sexual abuse, as well as neglect were captured by three selective items from the Adverse Childhood Experiences (ACE) Study (21). In case of reports of child abuse or neglect, patients were explored in-depth concerning the potential need for immediate childhood protection measures and relevant steps were taken (as communicated beforehand with patients and guardians when obtaining informed consent). Assessment of functioning (before start of the pandemic and in the process) was obtained from the respective psychiatrists and cross-checked with the interview data, applying the criteria of axis VI of the multiaxial classification of child and adolescent psychiatric disorders.(22)
Statistical And Qualitative Analysis
Quantitative data were analysed using IBM SPSS version 23 (SPSS, Inc. Chicago, USA), considering a significance level of p < 0·05. T-tests for dependent variables were used to analyse differences between pre- and post-treatment effects, coefficient r describes correlations between treatment responsiveness and assessments describing changes in symptomatology. Effect sizes (Cohen’s d) are reported wherever results were significant.
Language inquiry and word count (LIWC, Pennebaker Conglomerates, Inc.©), a computerised method for text analysis, was conducted in order to characterise specific quantitative linguistic features of the open interview questions.(23) The LIWC-categories tone, affect, posemo (positive emotions), negemo (negative emotions), anx (anxiety), anger, sad, social, fried, family, and affiliation have been selected for the analysis. For conduction and documentation of further in-depth qualitative analysis, following the principles of Grounded Theory (24), the computerised qualitative data analysis tool ATLAS.ti 8 (ATLAS.ti Scientific Software Development GmbH, Berlin, Germany) has been used.