Characteristics of prospectively identified negative alcohol-related events among college students

Meisel, Matthew K.; Kenney, Shannon R.; Barnett, Nancy P.

doi:10.1016/j.addbeh.2017.11.025

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…Building upon the lower levels of the pyramid of needs, the individuals were then able to deploy personal resources to work on their inner needs of respect, self-esteem, and recognition. The increase in self-regulation and self-efficacy was related to remaining abstinent [ 66 , 75 ], most likely because the perception of behavioral control was enhanced in a feedback cycle that further promoted the motivation to sustain recovery. In this sense, the meaning of sustained recovery included general aspects of wellbeing and was holistic, bringing it closer to the definition agreed upon by the Betty Ford Institute Consensus Panel [ 12 ] and the process defined by the UK Drug Policy Commission [ 13 ].…”

Section: Discussionmentioning

confidence: 99%

The “black box” of treatment: Patients’ perspective on what works in opioid maintenance treatment for opioid dependence

Silva

Andersson

2021

Subst Abuse Treat Prev Policy

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Background A lack of conceptual modeling of how the components of opioid maintenance treatment (OMT) for opioid dependence (OD) work causes it to occasionally be labeled the “black-box” of treatment. This study had a two-fold objective: First, to analyze which factors related to OMT for OD contribute to the abstinence of problematic use of non-prescribed opioids and sustain recovery, from the patients’ perspective; second, to understand which changes OMT produced in the individuals’ lives might significantly contribute to relapse prevention. Methods We used qualitative methods of design, inquiry, and analysis from a convenience sample of 19 individuals in a Swedish treatment setting. Results All the participants reported previous cycles of problematic use of non-prescribed opioids and other non-prescribed psychoactive substances, treatment, abstinence, recovery, and relapse before starting the current OMT program. During the pre-treatment stage, specific events, internal processes, and social environments enhanced motivation toward abstinence and seeking treatment. During the treatment stage, participants perceived the quality of the human relationships established with primary social groups as important as medication and the individual plan of care in sustaining recovery. From the participants’ perspective, OMT was a turning point in their life course, allowing them a sense of self-fulfillment and the reconstruction of personal and social identity. However, they still struggled with the stigmatization produced by a society that values abstinence-oriented over medication-assisted treatments. Conclusion OMT is not an isolated event in individuals’ lives but rather a process occurring within a specific social context. Structural factors and the sense of acceptance and belonging are essential in supporting the transformation. Treatment achievements and the risk for relapse vary over time, so the objectives of the treatment plan must account for characteristics of the pre-treatment stage and the availability and capacity of individuals to restructure their social network, besides the opioid maintenance treatment and institutional social care.

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Section: Discussionmentioning

confidence: 99%

The “black box” of treatment: Patients’ perspective on what works in opioid maintenance treatment for opioid dependence

Silva

Andersson

2021

Subst Abuse Treat Prev Policy

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A Quantitative Exploration of Alcohol-Related Regret Among Undergraduate Students

Pedersen

Feroni

2018

American Journal of Health Education

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A Bluetooth-Based Smartphone App for Detecting Peer Proximity: Protocol for Evaluating Functionality and Validity

Barnett,

Sokolovsky,

Meisel

et al. 2024

JMIR Res Protoc

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Background While ecological momentary assessment (EMA) is commonly used to study social contexts and social influence in the real world, EMA almost exclusively relies on participant self-report of present circumstances, including the proximity to influential peers. There is the potential for developing a proximity sensing approach that uses small Bluetooth beacons and smartphone-based detection and data collection to collect information about interactions between individuals passively in real time. Objective This paper aims to describe the methods for evaluating the functionality and validity of a Bluetooth-based beacon and a smartphone app to identify when ≥2 individuals are physically proximal. Methods We will recruit 20 participants aged 18 to 29 years with Android smartphones to complete a 3-week study during which beacon detection and self-report data will be collected using a smartphone app (MEI Research). Using an interviewer-administered social network interview, participants will identify up to 3 peers of the same age who are influential on health behavior (alcohol use in this study). These peers will be asked to carry a Bluetooth beacon (Kontakt asset tag) for the duration of the study; each beacon has a unique ID that, when detected, will be recorded by the app on the participant’s phone. Participants will be prompted to respond to EMA surveys (signal-contingent reports) when a peer beacon encounter meets our criteria and randomly 3 times daily (random reports) and every morning (morning reports) to collect information about the presence of peers. In all reports, the individualized list of peers will be presented to participants, followed by questions about peer and participant behavior, including alcohol use. Data from multiple app data sets, including beacon encounter specifications, notification, and app logs, participant EMA self-reports and postparticipation interviews, and peer surveys, will be used to evaluate project goals. We will examine the functionality of the technology, including the stability of the app (eg, app crashes and issues opening the app), beacon-to-app detection (ie, does the app detect proximal beacons?), and beacon encounter notification when encounter criteria are met. The validity of the technology will be defined as the concordance between passive detection of peers via beacon-to-app communication and the participant’s EMA report of peer presence. Disagreement between the beacon and self-report data (ie, false negatives and false positives) will be investigated in multiple ways (ie, to determine if the reason was technology-related or participant compliance-related) using encounter data and information collected from participants and peers. Results Participant recruitment began in February 2023, and enrollment was completed in December 2023. Results will be reported in 2025. Conclusions This Bluetooth-based technology has important applications and clinical implications for various health behaviors, including the potential for just-in-time adaptive interventions that target high-risk behavior in real time. International Registered Report Identifier (IRRID) DERR1-10.2196/50241

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Characteristics of prospectively identified negative alcohol-related events among college students

Abstract: The high peer involvement at all stages of the event suggest the potential for training college students to help each other avoid or prevent consequences.

Cited by 3 publications

References 41 publications

The “black box” of treatment: Patients’ perspective on what works in opioid maintenance treatment for opioid dependence

The “black box” of treatment: Patients’ perspective on what works in opioid maintenance treatment for opioid dependence

A Quantitative Exploration of Alcohol-Related Regret Among Undergraduate Students

A Bluetooth-Based Smartphone App for Detecting Peer Proximity: Protocol for Evaluating Functionality and Validity

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