Despite high rates of suicide in people who inject drugs, little is known about the risk factors for suicide related to childhood and family history in this population. We aimed to explore the relationship between the history of out-of-home care (OHC) and lifetime suicide attempts among people who inject opioids. Participants (N = 202) were current injection opioid users with at least one previous episode of opioid maintenance treatment. They were recruited into a double-blind randomized controlled trial for opioid substitution treatment. Secondary analysis of baseline data was conducted from the European Addiction Severity Index and basic demographics questionnaires. A total of 81 (40%) participants reported a history of living in OHC and 27% reported attempting suicide. Participants who reported living in OHC were more likely to report lifetime suicide attempts compared to those who did not live in OHC. History of OHC and suicidal ideation were significant risk factors for suicide attempts adjusting for depression and anxiety. Highest rates of lifetime attempts were among participants who lived in a group home, foster care, and/or psychiatric facility. Living in OHC during childhood was significantly associated with higher rates of suicide attempts in our sample. Greater efforts should be made to provide children from vulnerable families with environments where stable one-to-one relationships can be cultivated.
- Klíčová slova
- Addiction, Child care, Family history, Foster care, Heroin, Out-of-home care, Suicide,
- MeSH
- dospělí MeSH
- dvojitá slepá metoda MeSH
- intravenózní abúzus drog epidemiologie psychologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- pokus o sebevraždu psychologie trendy MeSH
- rizikové faktory MeSH
- rodičovství psychologie trendy MeSH
- sebevražedné myšlenky * MeSH
- zpráva o sobě MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- randomizované kontrolované studie MeSH
BACKGROUND: Pharmacotherapy remains one of the major interventional strategies in medicine. However, patients from all age groups and conditions face challenges when taking medications, such as integrating them into the daily routine, understanding their effects and side effects, and monitoring outcomes. In this context, a reliable medication management tool adaptable to the patient's needs becomes critical. As most people have a mobile phone, mobile apps offer a platform for such a personalized support tool available on the go. OBJECTIVE: This study aimed to provide an overview of available mobile apps, focusing on those that help patients understand and take their medications. We reviewed the existing apps and provided suggestions for future development based on the concept understand and manage, instead of the conventional adhere to medication. This concept aims to engage and empower patients to be in charge of their health, as well as see medication as part of a broader clinical approach, working simultaneously with other types of interventions or lifestyle changes, to achieve optimal outcomes. METHODS: We performed a Web search in the iOS Apple App Store and Android Google Play Store, using 4 search terms: medication management, pill reminder, medication health monitor, and medication helper. We extracted information from the app store descriptions for each eligible app and categorized into the following characteristics: features, author affiliation, specialty, user interface, cost, and user rating. In addition, we conducted Google searches to obtain more information about the author affiliation. RESULTS: A total of 328 apps (175 Android and 153 iOS) were categorized. The majority of the apps were developed by the software industry (73%, 11/15), a minority of them were codeveloped by health care professionals (15%, 3/20) or academia (2.1%; 7/328). The most prevalent specialty was diabetes (23 apps). Only 7 apps focused on mental health, but their content was highly comprehensive in terms of features and had the highest prevalence of the education component. The most prevalent features were reminder, symptom tracker, and ability to share data with a family member or doctor. In addition, we highlighted the features considered innovative and listed practical suggestions for future development and innovations. CONCLUSIONS: We identified detailed characteristics of the existing apps, with the aim of informing future app development. Ultimately, the goal was to provide users with effective mobile health solutions, which can be expected to improve their engagement in the treatment process and long-term well-being. This study also highlighted the need for improved standards for reporting on app stores. Furthermore, it underlined the need for a platform to offer health app users an ongoing evaluation of apps by health professionals in addition to other users and to provide them with tools to easily select an appropriate and trustworthy app.
- Klíčová slova
- drugs, eHealth, mHealth, pharmaceuticals, therapy,
- MeSH
- adherence k farmakoterapii psychologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- management nemoci MeSH
- mobilní aplikace statistika a číselné údaje trendy MeSH
- péče o sebe MeSH
- systémy medikace normy statistika a číselné údaje MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
BACKGROUND: Despite the increasing amount of research on Web-based mental health interventions with proven efficacy, high attrition rates decrease their effectiveness. Continued process evaluations should be performed to maximize the target population's engagement. Google Analytics has been used to evaluate various health-related Web-based programs and may also be useful for Web-based mental health programs. OBJECTIVE: The objective of our study was to evaluate WalkAlong.ca, a youth-oriented mental health web-portal, using Google Analytics to inform the improvement strategy for the platform and to demonstrate the use of Google Analytics as a tool for process evaluation of Web-based mental health interventions. METHODS: Google Analytics was used to monitor user activity during WalkAlong's first year of operation (Nov 13, 2013-Nov 13, 2014). Selected Google Analytic variables were overall website engagement including pages visited per session, utilization rate of specific features, and user access mode and location. RESULTS: The results included data from 3076 users viewing 29,299 pages. Users spent less average time on Mindsteps (0 minute 35 seconds) and self-exercises (1 minute 08 seconds), which are important self-help tools, compared with that on the Screener tool (3 minutes 4 seconds). Of all visitors, 82.3% (4378/5318) were desktop users, followed by 12.7 % (677/5318) mobile phone and 5.0% (263/5318) tablet users. Both direct traffic (access via URL) and referrals by email had more than 7 pages viewed per session and longer than average time of 6 minutes per session. The majority of users (67%) accessed the platform from Canada. CONCLUSIONS: Engagement and feature utilization rates are higher among people who receive personal invitations to visit the site. Low utilization rates with specific features offer a starting place for further exploration of users in order to identify the root cause. The data provided by Google Analytics, although informative, can be supplemented by other evaluation methods (ie, qualitative methods) in order to better determine the modifications required to improve user engagement. Google Analytics can play a vital role in highlighting the preferences of those using Web-based mental health tools.
- Klíčová slova
- Google Analytics, evaluation, mental health, website,
- Publikační typ
- časopisecké články MeSH
