Intervenciones basadas en internet para los trastornos depresivos: Una visión general

Research on psychotherapeutic internet interventions started in the late 1990s and since then a considerable number of trials have shown that these interventions are effective in the treatment of depression. There is also no reason to assume that they are less effective than face-to-face treatments. This knowledge can be applied in most major areas of mental health care, including preventive services, primary care, specialized mental health care, and general medical care. Internet services can also be organised outside regular mental health care services because no personal contact with patients is needed. Internet interventions can build directly on the many new technological applications of the internet and mobile technology, through ecological momentary assessment and intervention, serious gaming, avatars and automatic emotion recognition, as well as smartwatches. This overview has made it clear that research in this area is booming and that there are many possibilities for all kinds of innovative interventions and applications.A finales de los 90 comienzan las investigaciones sobre intervenciones psicoterapéuticas basadas en internet. Desde entonces gran cantidad de estudios han demostrado que son eficaces para tratar la depresión. No hay razón para suponer que son menos efectivos que los tratamientos tradicionales. Esto puede aplicarse en la mayoría de las áreas de atención para la salud mental, incluyendo servicios de prevención, atención primaria, atención especializada para la salud mental y atención médica general. Los servicios por Internet también pueden emplearse para la atención en salud mental, sin necesitar el contacto personal paciente-terapeuta. Además, pueden suponer nuevas aplicaciones tecnológicas aplicadas por internet y tecnología móvil, a través de la evaluación y la intervención ecológica momentánea, juegos serios, avatares y el reconocimiento automático de las emociones, así como smartwatches. Esta revisión constata el auge de la investigación en esta área y las muchas posibilidades para las intervenciones y aplicaciones innovadoras

Validating Automated Sentiment Analysis of Online Cognitive Behavioral Therapy Patient Texts: An Exploratory Study

IntroductionSentiment analysis may be a useful technique to derive a user’s emotional state from free text input, allowing for more empathic automated feedback in online cognitive behavioral therapy (iCBT) interventions for psychological disorders such as depression. As guided iCBT is considered more effective than unguided iCBT, such automated feedback may help close the gap between the two. The accuracy of automated sentiment analysis is domain dependent, and it is unclear how well the technology is applicable to iCBT. This paper presents an empirical study in which automated sentiment analysis by an algorithm for the Dutch language is validated against human judgment.MethodsA total of 493 iCBT user texts were evaluated on overall sentiment and the presence of five specific emotions by an algorithm, and by 52 psychology students who evaluated 75 randomly selected texts each, providing about eight human evaluations per text. Inter-rater agreement (IRR) between algorithm and humans, and humans among each other, was analyzed by calculating the intra-class correlation under a numerical interpretation of the data, and Cohen’s kappa, and Krippendorff’s alpha under a categorical interpretation.ResultsAll analyses indicated moderate agreement between the algorithm and average human judgment with respect to evaluating overall sentiment, and low agreement for the specific emotions. Somewhat surprisingly, the same was the case for the IRR among human judges, which means that the algorithm performed about as well as a randomly selected human judge. Thus, considering average human judgment as a benchmark for the applicability of automated sentiment analysis, the technique can be considered for practical application.Discussion/ConclusionThe low human-human agreement on the presence of emotions may be due to the nature of the texts, it may simply be difficult for humans to agree on the presence of the selected emotions, or perhaps trained therapists would have reached more consensus. Future research may focus on validating the algorithm against a more solid benchmark, on applying the algorithm in an application in which empathic feedback is provided, for example, by an embodied conversational agent, or on improving the algorithm for the iCBT domain with a bottom-up machine learning approach

Note From the Editor

Background and AimsTo review published studies on the effectiveness of combining cognitive-behavioural therapy (CBT) and motivational interviewing (MI) to treat comorbid clinical and subclinical alcohol use disorder (AUD) and major depression (MDD) and estimate the effect of this compared with usual care. MethodsWe conducted systematic literature searches in PubMed, PsycINFO and Embase up to June 2013 and identified additional studies through cross-references in included studies and systematic reviews. Twelve studies comprising 1721 patients met our inclusion criteria. The studies had sufficient statistical power to detect small effect sizes. ResultsCBT/MI proved effective for treating subclinical and clinical AUD and MDD compared with controls, with small overall effect sizes at post-treatment [g=0.17, confidence interval (CI)=0.07-0.28, Pless than0.001 for decrease of alcohol consumption and g=0.27, CI: 0.13-0.41, Pless than0.001 for decrease of symptoms of depression, respectively]. Subgroup analyses revealed no significant differences for both AUD and MDD. However, digital interventions showed a higher effect size for depression than face-to-face interventions (g=0.73 and g=0.23, respectively, P=0.030). ConclusionsCombined cognitive-behavioural therapy and motivational interviewing for clinical or subclinical depressive and alcohol use disorders has a small but clinically significant effect in treatment outcomes compared with treatment as usual

Experiences of therapists conducting psychological assessments and video conferencing therapy sessions with people with mild intellectual disabilities during the COVID-19 pandemic

Background: Due to the restrictive measures introduced to tackle the COVID-19 pandemic, therapists working with people with mild intellectual disabilities have had to use video conferencing to continue to conduct their psychological assessments and therapy sessions. This qualitative study explored therapists’ experiences of using video conferencing during the initial lockdown period in the Netherlands. Method: In total, seven therapists working at a service organisation supporting people with intellectual disabilities participated in this qualitative study (M = 34.4 years; SD = 6.0, range: 26-42). The therapists documented their experiences via audio recordings, which were subsequently analysed using thematic analysis. Results: Five themes emerged: 1) An immediate transition to virtual working; 2) Developing virtual ways to support service users in both coping with COVID-19 related stress and with continuing therapy; 3) Lacking the appropriate equipment; 4) Limitations in virtually attuning to people with mild intellectual disabilities; and 5) Unforeseen opportunities for distance-based psychological assessments and therapy. Conclusions: This study provides valuable insights into the experiences of therapists using video conferencing to support people with mild intellectual disabilities during the COVID-19 pandemic. These insights can help inform clinical practice with respect to the use of video conferencing for psychological assessment and therapy with people with mild intellectual disabilities

Growing Pains in the Administrative State: The Patent Office’s Troubled Quest for Managerial Control

In the last ten years, the workload of the Patent and Trademark Office ( PTO ) has increased dramatically. Complaints about the PTO\u27s ability to manage its workload have increased in tandem. Interestingly, although Congress has explicitly given the PTO rulemaking authority over the processing of patent applications, and withheld from it authority over substantive patent law, the PTO has arguably enjoyed more success in influencing substantive law than in executing direct efforts to manage its workload. This Article explores the multiple, mutually reinforcing reasons for this anomaly. It argues that although there are good reasons to be frustrated with the PTO\u27s past performance, the anomaly should not persist. To the contrary, incremental reform that gave the new PTO administration greater control over its procedures and its budgetary outlook would move us a long way toward a more efficient system of patent examination

E-mental health implementation in inpatient care: Exploring its potential and future challenges

BackgroundThere is a great evidence base today for the effectiveness of e-mental health, or the use of technology in mental healthcare. However, large-scale implementation in mental healthcare organisations is lacking, especially in inpatient specialized mental healthcare settings.AimThe current study aimed to gain insights into the factors that promote or hinder the implementation of e-mental health applications on organisational, professional and patient levels in Belgium.MethodsFour Belgian psychiatric hospitals and psychiatric departments of general hospitals invited their professionals and patients to use Moodbuster, which is a modular web-based platform with a connected smartphone application for monitoring. The platform was used in addition to treatment as usual for three to four months. The professionals and patients completed pre- and post-implementation questionnaires on their reasons to participate or to decline participation and experiences with the Moodbuster platform.ResultsMain reasons for the organisations to participate in the implementation study were a general interest in e-mental health and seeing it is a helpful add-on to regular treatment. The actual use of Moodbuster by professionals and patients proved to be challenging with only 10 professionals and 24 patients participating. Implementation was hindered by technical difficulties and inpatient care specific factors such as lack of structural facilities to use e-mental health and patient-specific factors. Professionals saw value in using e-mental health applications for bridging the transition from inpatient to outpatient care. Twenty-two professionals and 31 patients completed the questionnaire on reasons not to participate. For the patients, lack of motivation because of too severe depressive symptoms was the most important reason not to participate. For professionals, it was lack of time and high workload.ConclusionsThe current implementation study reveals several important barriers to overcome in order to successfully implement e-mental health in inpatient psychiatric care

Evaluation of a temporal causal model for predicting the mood of clients in an online therapy

Background Self-reported client assessments during online treatments enable the development of statistical models for the prediction of client improvement and symptom development. Evaluation of these models is mandatory to ensure their validity. Methods For this purpose, we suggest besides a model evaluation based on study data the use of a simulation analysis. The simulation analysis provides insight into the model performance and enables to analyse reasons for a low predictive accuracy. In this study, we evaluate a temporal causal model (TCM) and show that it does not provide reliable predictions of clients' future mood levels. Results Based on the simulation analysis we investigate the potential reasons for the low predictive performance, for example, noisy measurements and sampling frequency. We conclude that the analysed TCM in its current form is not sufficient to describe the underlying psychological processes. Conclusions The results demonstrate the importance of model evaluation and the benefit of a simulation analysis. The current manuscript provides practical guidance for conducting model evaluation including simulation analysis

Internet-based interventions for behavioral addictions: A systematic review

Background and aims Behavioral addictions are a public health problem that causes harm to both individuals and society. Internet-based interventions offer potential benefits over face-to-face therapy for the treatment of behavioral addictions, including their accessibility, perceived anonymity, and low costs. We systematically reviewed the characteristics and effectiveness of these interventions. Methods A systematic literature search was conducted in: PubMed, PsycINFO, Embase, and the Cochrane Central Register of Controlled Trials. A standardized methodological quality assessment was performed on all identified studies via the Effective Public Health Practice Project (EPHPP) Quality Assessment Tool. Results Twenty-nine studies were assessed in this systematic review. Between them, considerable heterogeneity was noted in various study characteristics, including screening tools, inclusion criteria, and outcome measures. Attrition rates also ranged widely (9–89%), as did study quality, with three of the 29 studies rated strong, 12 moderate, and 14 weak methodologically. Twenty-two studies focused on gambling disorder, most revealing significant within-group effects for the assessed intervention on gambling-related symptoms and four of these studies identified significant between-group effects. Behavioral addictions studied in the remaining studies included gaming disorder, internet use disorder, hoarding disorder, and pornography use disorder, revealing generally-promising, albeit limited results. Conclusions Internet-based interventions seem promising at reducing gambling problems, but too few studies have been published, to date, for conclusions to be drawn for other behavioral addictions. Internet-based interventions targeting other behavioral addictions – like gaming disorder, internet use disorder, hoarding disorder, and pornography use disorder – remain under-examined, warranting considerable additional research to assess their effectiveness

Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis of The Norwegian WIRUS screening study

Background For alcohol, the association with socioeconomic status (SES) is different than for other public health challenges – the associations are complex, and heterogeneous between socioeconomic groups. Specifically, the relationship between alcohol consumption per se and adverse health consequences seems to vary across SES. This observation is called the ‘alcohol harm paradox’. This study aims to describe different patterns of alcohol use and potential problems. Next, the associations between sub-groups characterized by different patterns of alcohol use and potential problems, and age, gender, educational level, full-time employment, occupational level and income is analysed. Methods Employing data from the ongoing cross-sectional WIRUS-study, N = 4311 participants were included in the present study. Individual response patterns of the ten-item Alcohol Use Disorders Identification Test (AUDIT) were analysed and latent class analysis (LCA) was used to identify latent groups. Next, the associations between the classes identified in the best fitting LCA-model and sociodemographic factors were analysed and presented. Results We identified three classes based on the response patterns on AUDIT. Class 1 was characterised by low-level alcohol consumption and very low probability of negative alcohol-related consequences related to their alcohol consumption. Class 2 was characterised by a higher level of consumption, but despite this, class 2 also had a relatively low probability of reporting negative alcohol-related consequences. Class 3, however, was characterised by high levels of alcohol consumption, and a high probability of reporting negative consequences of their consumption. The classes identified were systematically differentially associated with the included measures of SES, with class 3 characterised by younger age, more males and lower educational attainment. Conclusions Our findings highlight the interconnectedness of alcohol consumption and alcohol-related consequences. Furthermore, the identified classes and SES yields further insights into to intricate relationship between various socioeconomic factors, alcohol use patterns and related negative consequences.publishedVersio