Erratum to: Characteristics of People Who Use Telephone Counseling: Findings from Secondary Analysis of a Population-Based Study

Tracking and Profiling Repeated Users Over Time in Text-Based Counseling: Longitudinal Observational Study With Hierarchical Clustering

BACKGROUND

Due to their accessibility and anonymity, web-based counseling services are expanding at an unprecedented rate. One of the most prominent challenges such services face is repeated users, who represent a small fraction of total users but consume significant resources by continually returning to the system and reiterating the same narrative and issues. A deeper understanding of repeated users and tailoring interventions may help improve service efficiency and effectiveness. Previous studies on repeated users were mainly on telephone counseling, and the classification of repeated users tended to be arbitrary and failed to capture the heterogeneity in this group of users.

OBJECTIVE

In this study, we aimed to develop a systematic method to profile repeated users and to understand what drives their use of the service. By doing so, we aimed to provide insight and practical implications that can inform the provision of service catering to different types of users and improve service effectiveness.

METHODS

We extracted session data from 29,400 users from a free 24/7 web-based counseling service from 2018 to 2021. To systematically investigate the heterogeneity of repeated users, hierarchical clustering was used to classify the users based on 3 indicators of service use behaviors, including the duration of their user journey, use frequency, and intensity. We then compared the psychological profile of the identified subgroups including their suicide risks and primary concerns to gain insights into the factors driving their patterns of service use.

RESULTS

Three clusters of repeated users with clear psychological profiles were detected: episodic, intermittent, and persistent-intensive users. Generally, compared with one-time users, repeated users showed higher suicide risks and more complicated backgrounds, including more severe presenting issues such as suicide or self-harm, bullying, and addictive behaviors. Higher frequency and intensity of service use were also associated with elevated suicide risk levels and a higher proportion of users citing mental disorders as their primary concerns.

CONCLUSIONS

This study presents a systematic method of identifying and classifying repeated users in web-based counseling services. The proposed bottom-up clustering method identified 3 subgroups of repeated users with distinct service behaviors and psychological profiles. The findings can facilitate frontline personnel in delivering more efficient interventions and the proposed method can also be meaningful to a wider range of services in improving service provision, resource allocation, and service effectiveness.

Systematic Review of Research and Interventions With Frequent Callers to Suicide Prevention Helplines and Crisis Centers

Background: Helplines worldwide have frequent callers who may occupy a large proportion of call volume. Therapeutic gain from frequent calling has been questioned. We conducted this review to identify the characteristics of frequent callers and to compile recommendations about how best to help them. Method: Using preferred reporting items for systematic reviews and meta-analyses (PRISMA) standards, we searched for all empirical research in English and French from inception to May, 2020 in PubMed, PsycInfo, and the CRISE library. Results: We identified 738 manuscripts and retained 27 for analyses. Nine provided no definition of frequent callers; nine mixed frequent callers with repeat callers (>1 calls); nine concerned frequent callers (≥8 calls/month). The limited data suggest frequent callers are similar to other callers and often experience mental health problems, loneliness, and suicide risk. From recommendations in all 27 studies, we identified 10 suggestions to better manage and help frequent callers that merit validation. Limitations: The small number of empirical investigations and the diversity of their goals and methodologies limit generalizations. Although recommendations for helping callers may have face validity, empirical data on their effectiveness are scarce. Conclusion: Rather than focusing on reducing call frequency, we should empirically evaluate the benefits of interventions for frequent callers with different calling patterns, characteristics, and reasons for calling.