Suicide Prevention Referrals in a Mobile Health Smoking Cessation Intervention

Situation Analysis for Promotion of Hot-Lines: An Experience from Iran

Background:

The hot line services were developed in response to the perceived need for 24-hour help services in crises ranging from suicide to unwanted pregnancy. This study is aimed at analyzing the strengths, weaknesses, challenges, and suggestions of improving the performance of the help centers from the perspective of key stakeholders.

Methods:

We conducted a qualitative study to elicit the key informants' opinion regarding the performance of Iranian hot-lines. All the conversations were audio-recorded with the permission of the participants. To reach the saturation limit, the number of interviews was completed in the saturation of data. Data was gathered from 15 individual in-depth interviews. Collecting and analyses of data was based on content analysis through which simultaneously during texts open coding, main concepts were extracted and then in axial coding similar concepts were categorized.

Results:

According to the study results, there is no specific and independent system for assessing the hot- lines. One of the major weaknesses was the lack of standard protocols. Most participants believed that most of these guidelines came from the general principles of counseling and are not standard. As another point, the existence of referral services is one of the main problems of counseling lines. The most important suggestion from the majority of experts were the development of services and modification of their investments.

Conclusions:

The findings, in addition to providing the applied data for policy-making in the health system, will significantly contribute to the creation of scientific, technical, and skillful personnel in the community of researchers.

Examining Use of Mobile Phones for Sleep Tracking Among a National Sample in the USA

Mobile technology has been designed to serve a number of functions relating to health, but we know little about individuals who use these tools to track sleep. This study utilized data from a cross-sectional, geographically diverse survey of adults in the USA (N = 934). Among the sample, 28.2% (n = 263) report current use of a mobile phone for sleep tracking. Income and gender were significant correlates of sleep tracking (p < 0.05). Compared to a poor diet, a reported "excellent" diet was associated with sleep tracking (p < 0.05). Interestingly, compared to individuals who never smoke, report of smoking "everyday" was associated with sleep tracking (p < 0.05). Finally, individuals who reported current use of their mobile device for other health functions (e.g., chat with their doctor or log symptoms) were more likely to report sleep tracking on their mobile device (p < 0.05). Results appear to suggest sleep tracking is common among individuals with good general health.

Examining the association between suicidal behaviors and referral for mental health services among children involved in the child welfare system in Ontario, Canada

Although various studies have investigated factors associated with mental health service utilization, few studies have examined factors associated with referral for mental health services among maltreated children. The objective of this study was to examine the association between suicidal thoughts and self-harming behavior and referral for mental health services among children involved in the Child Welfare System in Ontario, Canada. Data for this study were obtained from the Ontario Incidence Study of Reported Child Abuse and Neglect 2013. An estimate 57,798 child maltreatment investigations was analyzed using binary logistic regression with referral for mental health service as the outcome variable. Of the 57,798 cases, 4709 (8.1%), were referred for mental health services. More than seven out of ten maltreated children who engaged in self-harming behavior and two out of three maltreated children who expressed suicidal thoughts were not referred for mental health services. In the multivariate logistic regression model, children who expressed suicidal thoughts had 2.39 times higher odds of being referred for mental health services compared to children with no suicidal thoughts (AOR = 2.39, 99% C.I. 2.05-2.77) and children who engaged in self-harming behavior had 1.44 times higher odds of being referred for mental health services compared to children who did not engage in self-harming behavior (AOR = 1.44, 99% C.I. 1.24-1.67), both after controlling for child demographic characteristics, maltreatment characteristics, and child functioning concerns. Given that referral is the initial step towards mental health service utilization, it is important that child welfare workers receive the necessary training so as to carefully assess and refer children in care who expressed suicidal thoughts or engaged in self-harming behavior for appropriate mental health services. The paper discusses the results and their implications for child welfare policy and practice.

A Systematic Literature Review of Technologies for Suicidal Behavior Prevention

Suicide is the second cause of death in young people. The use of technologies as tools facilitates the detection of individuals at risk of suicide thus allowing early intervention and efficacy. Suicide can be prevented in many cases. Technology can help people at risk of suicide and their families. It could prevent situations of risk of suicide with the technological evolution that is increasing. This work is a systematic review of research papers published in the last ten years on technology for suicide prevention. In September 2017, the consultation was carried out in the scientific databases PubMed, ScienceDirect, PsycINFO, The Cochrane Library and Google Scholar. A general search was conducted with the terms "prevention" AND "suicide" AND "technology. More specific searches included technologies such as "Web", "mobile", "social networks", and others terms related to technologies. The number of articles found following the methodology proposed was 90, but only 30 are focused on the objective of this work. Most of them were Web technologies (51.61%), mobile solutions (22.58%), social networks (12.90%), machine learning (3.23%) and other technologies (9.68%). According to the results obtained, although there are technological solutions that help the prevention of suicide, much remains to be done in this field. Collaboration among technologists, psychiatrists, patients, and family members is key to advancing the development of new technology-based solutions that can help save lives.

Engagement and abstinence among users of a smoking cessation text message program for veterans

BACKGROUND

SmokefreeVET is a text messaging smoking cessation program available to veterans enrolled in the Veterans Health Administration. SmokefreeVET was developed in collaboration with the National Cancer Institute as part of the SmokefreeTXT initiative.

PURPOSE

To evaluate the real world use of and effectiveness of the SmokefreeVET program for SmokefreeVET users who enrolled between 2013 and 2014.

METHODS

Demographics and smoking behavior of 1470 SmokefreeVET users who enrolled between 2013 and 2014 were analyzed. Latent growth mixture modeling was used to identify discrete classes of SmokefreeVET users based on engagement patterns. Multi-level modeling determined class differences in abstinence.

RESULTS

The average age of the SmokefreeVET user was 48, 75% of users were male, and 84% were daily smokers. After five weeks, 13% of all users reported abstinence from smoking. Five statistically distinct engagement classes of SmokefreeVET users were identified. Highly engaged classes were significantly less likely to opt-out and more likely to report abstinence. Over 60% of users who were classified as high engagers throughout the program reported abstinence 5weeks after their quit date. Users were more likely to report abstinence after two weeks if they used smoking cessation medication than those that did not use medication (OR=9.01, p<0.001).

CONCLUSIONS

SmokefreeVET may be effective at supporting abstinence among a real world group of highly engaged users. Smoking cessation medication use was also associated with abstinence in SmokefreeVET users. Engagement appears to be a critical component when assessing the efficacy of a text messaging smoking cessation intervention.