Evidence map›Paper›PMID 27478377›Full record

ArticleNeuropsychiatric disease and treatment2016

ESSENCE-Q - a first clinical validation study of a new screening questionnaire for young children with suspected neurodevelopmental problems in south Japan.

Yuhei Hatakenaka, Elisabeth Fernell, Masahiko Sakaguchi, Hitoshi Ninomiya, Ichiro Fukunaga, Christopher Gillberg

Abstract read
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Article in Neuropsychiatric disease and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

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19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yuhei HatakenakaKochi Gillberg Neuropsychiatry Centre, Kochi Prefectural Medical and Welfare Centre, Kochi, Japan; Gillberg Neuropsychiatry Centre, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Elisabeth FernellGillberg Neuropsychiatry Centre, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Masahiko SakaguchiIntegrated Centre for Advanced Medical Technologies, Kochi University Medical School, Kochi, Japan.
Hitoshi NinomiyaIntegrated Centre for Advanced Medical Technologies, Kochi University Medical School, Kochi, Japan.
Ichiro FukunagaKochi Gillberg Neuropsychiatry Centre, Kochi Prefectural Medical and Welfare Centre, Kochi, Japan.
Christopher GillbergGillberg Neuropsychiatry Centre, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly identification of autism spectrum disorder, intellectual developmental disorder, attention-deficit/hyperactivity disorder, and other neurodevelopmental disorders/problems is crucial, yet diagnosis is often delayed for years under the often misguided "wait-and-see" paradigm. The early symptomatic syndromes eliciting neurodevelopmental clinical examinations-questionnaire (ESSENCE-Q) is a brief (12-item) screening questionnaire developed specifically for the purpose of speeding up the identification process of a wide variety of neurodevelopmental problems. The aims were to 1) estimate the reliability of the ESSENCE-Q, 2) evaluate the clinical cutoff levels suggested by the author of the ESSENCE-Q, and 3) propose optimal cutoff levels based on receiver operating characteristic analysis.

methodsThe ESSENCE-Q was used for 1 year by a psychiatrist in Kochi, Japan, assessing children under the age of 6 years referred for developmental problems. The children were also clinically assessed with regard to whether or not they met criteria for a developmental disorder (diagnosis positive and diagnosis negative groups). We contrasted the results of the ESSENCE-Q and those of clinical diagnostic assessments in 130 cases.

resultsCronbach's alpha was 0.82, sensitivity was 0.94 (95% confidence interval [CI]: [0.88, 0.98]), and specificity 0.53 (95% CI: [0.28, 0.77]), which are reasonable psychometrics for a first-step screening tool. Based on receiver operating characteristic analysis, we recommended an optimal cutoff level of yes ≥2 or maybe/a little ≥3 on the ESSENCE-Q (0.87 (95% CI: [0.79, 0.92]) sensitivity and 0.77 (95% CI: [0.50, 0.93]) specificity). CONCLUSION AND IMPLICATION: The ESSENCE-Q can be a good instrument for use as a screening tool for aiding in the process of early identification of neurodevelopmental disorders in clinical settings. To establish the broader validity and reliability of the ESSENCE-Q, case-control studies and general population studies of children in different age groups are needed.

Indexed as

cutoff levelsESSENCEESSENCE-Qreceiver operating characteristic analysis

Identifiers

PMID27478377
PMCPMC4951052

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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.