Evidence map›Paper›PMID 37932675›Full record

ArticleBMC psychiatry2023

Development and validation of the ADHD Symptom and Side Effect Tracking - Baseline Scale (ASSET-BS): a novel short screening measure for ADHD in clinical populations.

Joel L Young, Richard N Powell, Celeste Zabel, Jaime Saal, Lisa L M Welling, Jillian Fortain, Ashley Ceresnie

Abstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Joel L YoungRochester Center for Behavioral Medicine, 441 South Livernois, Suite 100, Rochester Hills, MI, 48307, USA.
Richard N PowellRochester Center for Behavioral Medicine, 441 South Livernois, Suite 100, Rochester Hills, MI, 48307, USA. rpowell@rcbm.net.
Celeste ZabelHenry Ford Health System, Detroit, USA.
Jaime SaalRochester Center for Behavioral Medicine, 441 South Livernois, Suite 100, Rochester Hills, MI, 48307, USA.
Lisa L M WellingDepartment of Psychology, Oakland University, Rochester, USA.
Jillian FortainRochester Center for Behavioral Medicine, 441 South Livernois, Suite 100, Rochester Hills, MI, 48307, USA.
Ashley CeresnieRochester Center for Behavioral Medicine, 441 South Livernois, Suite 100, Rochester Hills, MI, 48307, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim was to develop and test a novel screen of adult ADHD, with a specific focus on clinical use. We designed a series of three studies to accomplish this aim.

methodStudy One (n = 155) and Study Two (n = 591) collected data via surveys to conduct exploratory and confirmatory factor analyses, respectively. Study Three analyzed the scale's psychometrics in a clinical sample (n = 151).

resultsStudy One and Study Two identified a 10-item scale with a two-factor structure. Study Three found good discriminant validity, sensitivity = 80.0%, specificity = 80.2%, and convergent validity with both the Brown Executive Function/Attention Scales, r (131) = .76, p < .001, and the Conner's Adult ADHD Rating Scales r (131) = .71, p < .001.

conclusionThe scale demonstrated effectiveness in screening for ADHD in a psychiatric outpatient population. Its results may be used to identify patients that may benefit from thorough ADHD diagnostic procedures.

Indexed as

Attention Deficit Disorder with HyperactivityAdultExecutive FunctionHumansPsychiatric Status Rating ScalesPsychometricsReproducibility of ResultsSurveys and QuestionnairesAdult ADHDAssessmentDecision making

Identifiers

PMID37932675
PMCPMC10629079

What OpenQuestion holds

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Registered trials

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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.