Evidence map›Paper›PMID 32877351›Full record

ArticleJMIR mHealth and uHealth2020

Development and Acceptability of a Method to Investigate Prescription Drug Misuse in Daily Life: Ecological Momentary Assessment Study.

Lauren M Papp, Alexandra Barringer, Shari M Blumenstock, Pamela Gu, Madison Blaydes, Jaime Lam, Chrystyna D Kouros

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 26 citations in OpenAlex.

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  16. Effect of COVID-19 disruptions on young adults' affect and substance use in daily life.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Lauren M PappDepartment of Human Development and Family Studies, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0003-0408-9535
Alexandra BarringerDepartment of Human Development and Family Studies, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0001-7496-4716
Shari M BlumenstockDepartment of Human Development and Family Studies, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0002-6361-3563
Pamela GuDepartment of Human Development and Family Studies, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0003-1665-5493
Madison BlaydesDepartment of Human Development and Family Studies, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0002-2172-8629
Jaime LamDepartment of Human Development and Family Studies, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0002-6109-6064
Chrystyna D KourosDepartment of Psychology, Southern Methodist University, Dallas, TX, United States.ORCID 0000-0001-7586-8611
University of Wisconsin–Madison · USSouthern Methodist University · US

Funding

Real-time Predictors of Prescription Drug Misuse by College Students and Assessment of Misuse on Their Developmental TrajectoriesR01DA042093 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI PAPP, LAUREN M · 2017 to 2021
$2.3M
NIDA NIH HHS R01 DA042093
6 · The paper itself

Abstract

backgroundPrescription drug misuse and abuse is an established public health challenge, and young adults are particularly affected. There is a striking lack of real-time, naturalistic data collection assessing intentions to misuse and other precipitating factors at the time of actual misuse, leaving the conditions under which individuals are most likely to misuse prescription medications unknown. Ecological momentary assessment (EMA) apps and protocols designed to capture this information would accelerate and expand the knowledge base and could directly contribute to prevention and treatment efforts.

objectiveThe objectives of this study are to describe the development and administration of a mobile app and the EMA protocol designed to collect real-time factors associated with college students' prescription drug misuse intentions and behaviors in daily life; present completion rates, compliance, acceptability, and reactivity associated with the EMA protocol for participants who endorsed recent prescription drug misuse at screening (ie, risk group; n=300) and those who did not (ie, nonrisk group; n=55); and establish initial construct validity by linking the reports of misuse behaviors in daily life collected via the EMA app to prescription drug misuse reported on a standard survey.

methodsAn EMA data collection app and protocol were designed specifically to capture hypothesized contextual factors along with prescription drug misuse intentions and behaviors in daily life. Using this protocol, young adult college students (N=352) completed signal- and event-contingent reports over a 28-day period. When the intention to misuse a prescription drug was endorsed, a brief follow-up prompt was sent 15 min later to collect participants' indications of whether or not misuse had occurred.

resultsRisk-group participants were significantly more likely than nonrisk counterparts to endorse any prescription drug misuse intentions in daily life (P<.001), to complete one or more follow-up reports (P<.001), and to endorse any prescription drug misuse behavior in daily life on the follow-ups (P<.001). Overall, participants demonstrated consistent engagement with the EMA procedures and returned an average of 74.5 (SD 23.82; range 10-122) reports. Participants in the risk and nonrisk groups did not differ in the number of reports they completed (P=.12), the number of their reporting days (P=.32), or their average completion rates (P=.14). The results indicated some evidence of reactivity to the momentary reporting procedure. Participants reported uniformly positive experiences and remained highly engaged throughout the reporting protocol and broader study.

conclusionsThe novel EMA app and protocol provide an effective way to assess real-time factors associated with prescription drug misuse intentions and behaviors in daily life. The resulting investigations offer the potential to provide highly translatable information for research and prevention efforts.

Indexed as

Mobile ApplicationsPrescription Drug MisuseEcological Momentary AssessmentHumansResearch DesignSurveys and QuestionnairesYoung Adultcomplianceecological momentary assessmentprescription drug misuseyoung adult

Identifiers

PMID32877351
PMCPMC7563627
OpenAlexW3082474342

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.