Impact of an Educational Text Message Intervention on Adolescents’ Knowledge and High-Risk Behaviors

Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors

Adolescents are prone to multiple health risk behaviors. These might lead to insufficient sleep, which is inconducive to adolescent growth. Therefore, this study explored the impact of a cluster of adolescent health risk behaviors on sleep time, providing a reference for designing relevant intervention measures. From November to December 2019, a stratified cluster sampling method was used to sample middle and high schools in 4 functional districts of Chongqing, China. A total of 8546 participants were selected for a questionnaire survey. Two-step clustering helped identify the health risk behavior clusters. Multivariate logistic regression models helped examine the association between the different clusters and sleep time. The rate of insufficient sleep was 65.8%. Three types of clusters were identified, namely (1) high-risk (poor) cluster (17.3%), (2) low physical activity (medium) cluster (55.1%), and (3) low-risk (good) cluster (27.6%). The high-risk and low physical activity clusters showed that the adjusted OR values of 1.471 (1.266-1.710) and 1.174 (1.052-1.310) were significantly associated with insufficient sleep (P < .001). Adolescent health risk behaviors were clustered, and different clusters had different sleep time. Schools authorities and healthcare practitioners should formulate effective intervention measures according to the characteristics of different clusters to promote healthy growth among adolescents.

Feasibility of Text Messages for Enhancing Therapeutic Engagement Among Youth and Caregivers Initiating Outpatient Mental Health Treatment: Mixed Methods Study

BACKGROUND

Pathways to mental health services for youth are generally complex and often involve numerous contact points and lengthy delays. When starting treatment, there are a host of barriers that contribute to low rates of therapeutic engagement. Automated text messages offer a convenient, low-cost option for information sharing and skill building, and they can potentially activate positive behaviors in youth and caregivers prior to beginning formal therapy. To date, there is little evidence for the feasibility of initiating transdiagnostic text messages during the early stages of youth and caregiver contact with community outpatient mental health services.

OBJECTIVE

To develop and test the feasibility of implementing 2 novel text messaging campaigns aimed at youth clients and their caregivers during the early stages of engaging with outpatient mental health services.

METHODS

A multidisciplinary panel of experts developed two 12-message interventions with youth and caregivers prior to deployment. Each message included a link to an external interactive or multimedia resource to extend skill development. Enrollment of youth aged 13 to 18 years, their caregivers, or both occurred at 2 early treatment timepoints. At both time points, text messages were delivered automatically 2 times a week for 6 weeks. Analytics and survey data were collected in 2 phases, between January and March 2020 and between January and May 2021. Enrollment, willingness to persist in using the intervention, engagement, satisfaction, perceived value, and impact were measured. Descriptive statistics were used to summarize youth and caregiver outcomes.

RESULTS

A total of 41 caregivers and 36 youth consented to participate. Follow-up survey response rates were 54% (22/41) and 44%, (16/36) respectively. Over 1500 text messages were sent throughout the study. More than three-quarters (14/16, 88%) of youth reported that they learned something new and noticed a change in themselves due to receiving the texts; the same proportion (14/16, 88%) of youth said they would recommend the text messages to others. Youth ranked the first text message, related to coping with difficult emotions, as the most helpful of the series. Caregivers reported acting differently due to receiving the texts. Over two-thirds of caregivers were satisfied with the texts (16/22, 73%) and would recommend them to others (16/22, 73%). Caregivers perceived diverse levels of value in the text topics, with 9 of the 12 caregiver texts rated by at least one caregiver as the most helpful.

CONCLUSIONS

Results are preliminary but show that brief, core skill-focused text messages for youth clients and caregivers in community outpatient mental health services are feasible. Both youth and caregivers reported promising knowledge and behavior change with exposure to only 12 messages over 6 weeks. A larger study with statistical power to detect changes in both perceived helpfulness and engagement is required to confirm the effectiveness of this type of transdiagnostic intervention.

Using machine learning approaches to predict timely clinic attendance and the uptake of HIV/STI testing post clinic reminder messages

Timely and regular testing for HIV and sexually transmitted infections (STI) is important for controlling HIV and STI (HIV/STI) among men who have sex with men (MSM). We established multiple machine learning models (e.g., logistic regression, lasso regression, ridge regression, elastic net regression, support vector machine, k-nearest neighbour, naïve bayes, random forest, gradient boosting machine, XGBoost, and multi-layer perceptron) to predict timely (i.e., within 30 days) clinic attendance and HIV/STI testing uptake after receiving a reminder message via short message service (SMS) or email). Our study used 3044 clinic consultations among MSM within 12 months after receiving an email or SMS reminder at the Melbourne Sexual Health Centre between April 11, 2019, and April 30, 2020. About 29.5% [899/3044] were timely clinic attendance post reminder messages, and 84.6% [761/899] had HIV/STI testing. The XGBoost model performed best in predicting timely clinic attendance [mean [SD] AUC 62.8% (3.2%); F1 score 70.8% (1.2%)]. The elastic net regression model performed best in predicting HIV/STI testing within 30 days [AUC 82.7% (6.3%); F1 score 85.3% (1.8%)]. The machine learning approach is helpful in predicting timely clinic attendance and HIV/STI re-testing. Our predictive models could be incorporated into clinic websites to inform sexual health care or follow-up service.

Interventions to Promote a Healthy Sexuality among School Adolescents: A Scoping Review

Schools are particularly suitable contexts for the implementation of interventions focused on adolescent sexual behavior. Sexual education and promotion have a multidisciplinary nature. Nurses' role and the spectrum of the carried-out interventions is not clear. We aimed to identify interventions that promote a healthy sexuality among school adolescents. Our review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews and was registered in the Open Science Framework. Published articles on sexuality in adolescents in school contexts were considered. The research limitations included primary studies; access in full text in English, Spanish, or Portuguese; and no data publication limitation. Research was carried out on the EBSCOhost, PubMed, SciELO, and Web of Science platforms; gray literature and the bibliographies of selected articles were also searched. A total of 56 studies were included in the sample. The studies used a broad range of research methods, and 10 types of interventions were identified. Multi-interventional programs and socio-emotional interventions showed a greater impact on long-term behavioral changes, and continuity seemed to be a key factor. Long-term studies are needed to reach a consensus on the effectiveness of interventions. Nurses' particular role on the multidisciplinary teams was found to be a gap in the research, and must be further explored.

Caring for the Mental Health of Youth and Families: What is the Role of the Psychiatric Mental Health Advanced Practice Nurse?

PURPOSE/OBJECTIVES

Children in our nation are experiencing the social, emotional, and physical impacts of an unprecedented time in history. Advanced practice nurses prepared as psychiatric clinical nurse specialists and nurse practitioners bring therapeutic interventions, psychopharmacologic management, and systems thinking to clinical environments of care. Insight into the mental health of youth and families and how clinical nurse specialists may provide solutions for forthcoming challenges is discussed.

DESCRIPTION OF THE PROJECT/PROGRAM

Barriers to mental healthcare such as the invisibility of nurses at state and federal levels must be eradicated to mitigate the mental health challenges that youth, families, and communities endure. Contemporary issues such as effects of social media, stigma, and suicide present burdens that can be moderated through nursing interventions.

OUTCOME

The psychiatric clinical nurse specialist provides evidence and community-based nursing interventions that, through early identification and advocacy, contribute to positive mental health outcomes for youth and families.

CONCLUSION

The need for well-educated advanced practice nurses has never been greater for our vulnerable populations of children, adolescents, and families with mental health challenges. Nurse-delivered programs demonstrate that interventions are necessary for communication, psychoeducation, and prevention of consequences from unacknowledged social media, stigma, and suicide problems.

Text Message Interventions in Adolescent Mental Health and Addiction Services: Scoping Review

BACKGROUND

The vast majority of adolescent mental health and substance use disorders go undiagnosed and undertreated. SMS text messaging is increasingly used as a method to deliver adolescent health services that promote psychological well-being and aim to protect adolescents from adverse experiences and risk factors critical for their current and future mental health. To date, there has been no comprehensive synthesis of the existing literature on the extent, range, and implementation contexts of these SMS text message interventions.

OBJECTIVE

The objective of this scoping review was to map and categorize gaps in the current body of peer-reviewed research around the use of SMS text messaging-based interventions for mental health and addiction services among adolescents.

METHODS

A scoping review was conducted according to Levac's adaptation of Arksey and O'Malley's methodological framework for scoping reviews in six iterative stages. A search strategy was cocreated and adapted for five unique databases. Studies were screened using Covidence software. The PICO (patient, intervention, comparator, outcome) framework and input from multiple stakeholder groups were used to structure and pilot a data extraction codebook. Data were extracted on study methodology and measures, intervention design, and implementation characteristics, as well as policy, practice, and research implications.

RESULTS

We screened 1142 abstracts. Of these, 31 articles published between 2013 and 2020 were eligible for inclusion. Intervention engagement was the most common type of outcome measured (18/31), followed by changes in cognitions (16/31; eg, disease knowledge, self-awareness) and acceptability (16/31). Interventions were typically delivered in less than 12 weeks, and adolescents received 1-3 messages per week. Bidirectional messaging was involved in 65% (20/31) of the studies. Limited descriptions of implementation features (eg, cost, policy implications, technology performance) were reported.

CONCLUSIONS

The use of SMS text messaging interventions is a rapidly expanding area of research. However, lack of large-scale controlled trials and theoretically driven intervention designs limits generalizability. Significant gaps in the literature were observed in relation to implementation considerations, cost, clinical workflow, bidirectionality of texting, and level of personalization and tailoring of the interventions. Given the growth of mobile phone-based interventions for this population, a rigorous program of large-scale, well-designed trials is urgently required.

A latent class analysis of psychological symptoms and health risk behaviors among Chinese adolescents

Multiple health risk behaviors (HRBs) tend to co-occur which increase risks of mental disorder. In this study, we identified the association between latent class of HRBs and psychological symptoms in Chinese adolescents. We assessed 22 628 Chinese adolescents from November 2015 to January 2016. The average age of the students were (15.36 ± 1.79), among which there were 10 990 male students and 11 638 female students. A latent class analysis was applied to identity HRBs patterns. The multivariable logistic regression models were utilized to examine the association between HRBs patterns and psychological symptoms. Four latent classes were identified, characterized as low-risk class, moderate-risk class 1 (smoking/ alcohol use (AU)/screen time (ST)), moderate-risk class 2 (unhealthy losing weight (ULW)/ problematic mobile phone use (PMPU)), and high-risk class (ULW/smoking/AU/ST/ PMPU), which were 71.2 %, 3.2 %, 22.3 %, and 3.3 % of involved participants, respectively. Compared to the low-risk class, moderate-risk class 1, moderate-risk class 2, and high-risk class showed that adjusted OR (95 %CI) value of 1.97 (1.68-2.32), 3.98 (3.72-4.26) and 6.38 (CI: 5.47-7.44) were significantly associated with psychological symptoms (P < 0.001 for each). Our findings indicated that identifying different latent class of HRBs would be helpful for the design of tailored interventions, and prevention of different patterns of HRBs should be considered in the implementation of effective intervention programs related to psychological symptoms.