Evidence map›Paper›PMID 42372226›Full record

Observational studyJMIR human factors2026

Smartphone-Based Ecological Momentary Assessment to Monitor Opioid Use and Overdose Among People Who Use Opioids: Prospective Observational Feasibility Study.

Kamal Gautam, Kiran Paudel, Jeffrey A Wickersham, Antoine Khati, Anushka Thapa, Sandesh Bhusal, Md Safaet Hossain Sujan, Sherry Pagoto, Toan Ha, Roman Shrestha

Abstract readObservational Study
In one paragraph

Observational study in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Kamal GautamDepartment of Allied Health Sciences, University of Connecticut, 358 Mansfield Road, Unit 1101, Storrs, CT, 06269-1101, United States, 1 860-486-2834.ORCID 0000-0002-7121-7421
Kiran PaudelDepartment of Allied Health Sciences, University of Connecticut, 358 Mansfield Road, Unit 1101, Storrs, CT, 06269-1101, United States, 1 860-486-2834.ORCID 0000-0002-5590-4133
Jeffrey A WickershamSection of Infectious Diseases, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.ORCID 0000-0001-7701-9162
Antoine KhatiDepartment of Allied Health Sciences, University of Connecticut, 358 Mansfield Road, Unit 1101, Storrs, CT, 06269-1101, United States, 1 860-486-2834.ORCID 0000-0001-9350-8230
Anushka ThapaSection of Infectious Diseases, Department of Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.ORCID 0009-0000-1879-1945
Sandesh BhusalDepartment of Allied Health Sciences, University of Connecticut, 358 Mansfield Road, Unit 1101, Storrs, CT, 06269-1101, United States, 1 860-486-2834.ORCID 0000-0002-3060-5823
Md Safaet Hossain SujanDepartment of Allied Health Sciences, University of Connecticut, 358 Mansfield Road, Unit 1101, Storrs, CT, 06269-1101, United States, 1 860-486-2834.ORCID 0000-0003-0313-2423
Sherry PagotoDepartment of Allied Health Sciences, University of Connecticut, 358 Mansfield Road, Unit 1101, Storrs, CT, 06269-1101, United States, 1 860-486-2834.ORCID 0000-0002-2462-8797
Toan HaDepartment of Infectious Diseases and Microbiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-0574-0804
Roman ShresthaDepartment of Allied Health Sciences, University of Connecticut, 358 Mansfield Road, Unit 1101, Storrs, CT, 06269-1101, United States, 1 860-486-2834.ORCID 0000-0003-4340-3101

Funding

Training in MHealth Prevention with MSMK01DA051346 · NIDA · YALE UNIVERSITY · PI SHRESTHA, ROMAN · 2020 to 2024
$862k
NIDA NIH HHS K01 DA051346
6 · The paper itself

Abstract

Background: Opioids account for 76% of drug overdose deaths in the United States, with nearly 80,000 opioid overdose deaths annually. The risk of overdose is dynamic and influenced by rapidly changing behaviors and contexts that are not well captured by retrospective or infrequent assessments. Ecological momentary assessment (EMA) allows repeated near real-time reporting of behaviors and experiences in natural settings. Objective: This study evaluated the feasibility and acceptability of smartphone-based EMA among people who use opioids to monitor opioid use, overdose experiences, and naloxone access. Methods: Participants were recruited through the New Haven Syringe Services Program in New Haven, Connecticut, and completed fixed-time, twice-daily EMA prompts for 30 days using a smartphone app. EMA measures assessed behaviors and experiences occurring within the previous 12 hours, including opioid craving, plans to use drugs, opioid use, overdose experiences, and naloxone access. Feasibility was assessed through recruitment, retention, and EMA completion rates, as well as the reporting of drug use-related behaviors. Acceptability was evaluated using exit surveys assessing ease of use, burden, and privacy, as well as qualitative interviews. Results: Of the 13 screened individuals, 10 were enrolled and completed the baseline assessment. A total of 9 (90%) participants completed EMA and responded to 411 prompts, with an overall compliance rate of a mean of 85.0% (SD 8.7%). Compliance was similar across morning (84.2%, SD 13.1%) and evening (85.8%, SD 11.2%) prompts. Participants reported opioid cravings (274 reports), plans to use illicit drugs (252 reports), and opioid use (411 reports) during the study period. Two participants reported overdose events (5 reports) and were carrying naloxone during each overdose event. Acceptability ratings were high: all participants reported that EMA prompts were easy to understand and private, and most did not find them burdensome. Qualitative feedback further highlighted the ease of use, integration into daily routines, and increased self-awareness, although some participants reported emotional discomfort when reflecting on their substance use. Conclusions: Smartphone-based EMA was feasible and acceptable among people who use opioids recruited through a syringe service program. EMA may support the monitoring of opioid use, overdose experiences, and naloxone access, and it may inform future digital health interventions aimed at reducing harm, including overdose risk, among people who use opioids.

Indexed as

Analgesics, OpioidDrug OverdoseEcological Momentary AssessmentOpioid-Related DisordersSmartphoneAdultConnecticutFeasibility StudiesFemaleHumansMaleMiddle AgedNaloxoneOpiate OverdoseProspective StudiesAnalgesics, OpioidNaloxoneecological momentary assessmentharm reductionmobile healthnaloxoneopioid overdosesubstance usesyringe service programs

Identifiers

PMID42372226
PMCPMC13313411

What OpenQuestion holds

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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.