Evidence map›Paper›PMID 41678272›Full record

ReviewAnnual review of clinical psychology2026

Objective Assessment in Clinical Psychological Science: Progress in Wearable Alcohol Biosensors.

Catharine E Fairbairn, Dahyeon Kang, Jiaxu Han, Nigel Bosch

Abstract readReview
In one paragraph

Review in Annual review of clinical psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Catharine E FairbairnDepartment of Psychology, University of Illinois Urbana-Champaign, Champaign, Illinois, USA; email: cfairbai@illinois.edu, jiaxuh2@illinois.edu.
Dahyeon KangDepartment of Psychology, University of Illinois Urbana-Champaign, Champaign, Illinois, USA; email: cfairbai@illinois.edu, jiaxuh2@illinois.edu.
Jiaxu HanDepartment of Psychology, University of Illinois Urbana-Champaign, Champaign, Illinois, USA; email: cfairbai@illinois.edu, jiaxuh2@illinois.edu.
Nigel BoschSchool of Information Sciences and Department of Educational Psychology, University of Illinois Urbana-Champaign, Champaign, Illinois, USA; email: pnb@illinois.edu.

Funding

Examining the Impact of Stress on the Emotionally Reinforcing Properties of Alcohol in Heavy Social Drinkers: A Multimodal Investigation Integrating Laboratory and Ambulatory MethodsR01AA025969 · NIAAA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Catharine Fairbairn · 2017 to 2026
$3.5M
Towards a Wearable Alcohol Biosensor: Examining the Accuracy of BAC Estimates from New-Generation Transdermal Technology using Large-Scale Human Testing and Machine Learning AlgorithmsR01AA028488 · NIAAA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Catharine Fairbairn · 2021 to 2026
$2.8M
Understanding the neural markers of incentive salience for alcohol: the role of context in brain-behavior relationshipsK01AA032018 · NIAAA · UNIVERSITY OF WASHINGTON · PI Dahyeon Kang · 2025 to 2026
$331k
NIAAA NIH HHS K01 AA032018NIAAA NIH HHS R01 AA025969NIAAA NIH HHS R01 AA028488
6 · The paper itself

Abstract

Clinical psychology is a discipline reliant on self-reports but uniquely susceptible to specific biases associated therewith. Here we provide a prototype for objective behavioral assessment drawn from the field of alcohol science, describing an emerging class of wearable transdermal biosensor. We note the challenges of transdermal alcohol assessment and describe recent performance gains from updated devices and machine learning analytic tools. We indicate unanswered questions for transdermal technology, including device longevity and the accuracy of devices for producing fine-grained estimates of drinking quantity. We identify factors that can impede development of transdermal sensors and other new objective measures, including the tendency to judge new tools against an implicit ideal, and consider scientific findings divorced from methodology. Finally, in evaluating novel objective measurement tools, we argue for careful consideration of not only error magnitude but also error type (i.e., random versus systematic), identifying measurement diversification as a priority for clinical psychology moving forward.

Indexed as

Alcohol DrinkingBiosensing TechniquesEthanolWearable Electronic DevicesHumansMachine LearningEthanolalcoholbehaviorcommon methods biasmachine learningmeasurementwearables

Identifiers

PMID41678272
PMCPMC13032199

What OpenQuestion holds

Textmetadata
LicenceTDM
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.