Suicide Postvention Service Models and Guidelines 2014–2019: A Systematic Review

The Internet has become a favored source to find health information. Worldwide, about 4.5% of all Internet searches are for health-related information. However, research has found that the quality of online health information is mixed, which raises serious concerns about the impact of this information. This paper reviews relevant research to understand how health information on the Internet is retrieved, evaluated, and used. Most users of online health information are looking for information about specific health conditions because they or someone they know was diagnosed with a medical condition. They typically use general search engines to find online health information and enter short phrases, often misspelled. They seldom go beyond the first page of a search. Both their search and evaluation skills are limited although they are concerned about the quality of online health information. They avoid sites with overt commercialism, but often do not pay attention to indicators of credibility. Online health information is used to fill an information void which can enhance coping and self efficacy, affects health-related decisions and behavior of users and their friends and family, and is often discussed with health care providers. There are cross-cultural differences in the types of sites used as well as how online information is used. Based on the research reviewed in this paper, three major recommendations are suggested. Professionals should recommend sites. Professionals should promote more effective search and evaluation techniques. Professionals should be involved in developing and promoting uniform standards for health and mental health sites.

It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data meta-analysis to gain a better understanding of who may benefit from these interventions.

It has long been stated that six people are left behind following every suicide. Despite a lack of empirical evidence, this has been extensively cited for over 30 years. Using data from a random-digit dial survey, a more accurate number of people exposed to each suicide is calculated. A sample of 1,736 adults included 812 lifetime suicide-exposed respondents who reported age and number of exposures. Each suicide resulted in 135 people exposed (knew the person). Each suicide affects a large circle of people, who may be in need of clinician services or support following exposure.