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JP7253782B2 - Developmental disorder possibility evaluation device and developmental disorder possibility evaluation method - Google Patents
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JP7253782B2 - Developmental disorder possibility evaluation device and developmental disorder possibility evaluation method - Google Patents

Developmental disorder possibility evaluation device and developmental disorder possibility evaluation method Download PDF

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JP7253782B2
JP7253782B2 JP2019059991A JP2019059991A JP7253782B2 JP 7253782 B2 JP7253782 B2 JP 7253782B2 JP 2019059991 A JP2019059991 A JP 2019059991A JP 2019059991 A JP2019059991 A JP 2019059991A JP 7253782 B2 JP7253782 B2 JP 7253782B2
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まなぶ 斉藤
和彦 中村
絢子 大里
匡基 足立
勝則 田中
伸哉 高柳
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Hirosaki University NUC
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本発明は、発達障害の可能性を評価する発達障害可能性評価装置、および発達障害可能性評価方法に関するものである。 TECHNICAL FIELD The present invention relates to a developmental disorder possibility evaluation device and a developmental disorder possibility evaluation method for evaluating the possibility of a developmental disorder.

近年、世界的に発達障害支援への関心が高まるなか、我が国では2004年に発達障害者支援法が成立し、発達障害をできるだけ早期に発見して発達支援を行うことの重要性が示されている。 In recent years, as interest in support for developmental disabilities has increased worldwide, the Act on Support for Persons with Developmental Disabilities was enacted in Japan in 2004, demonstrating the importance of detecting developmental disabilities as early as possible and providing developmental support. there is

そのような発達障害早期発見のために用いられる装置としては、例えば、診断画像を表示部に表示させるとともに、撮像部により撮像された撮像画像から、表示部の表示領域における被験者の視点を検出し、検出された視点に基づいて被験者の発達障害の程度を評価する発達障害の診断支援装置が知られている(例えば、特許文献1参照。)。 As a device used for such early detection of developmental disorders, for example, a diagnostic image is displayed on the display unit, and the viewpoint of the subject in the display area of the display unit is detected from the captured image captured by the imaging unit. , a developmental disorder diagnosis support device that evaluates the degree of a developmental disorder of a subject based on a detected viewpoint is known (see, for example, Patent Document 1).

特開2014-071779号公報JP 2014-071779 A

しかしながら、上記のような診断支援装置を用いて発達障害を発見するためには、1人ずつの対象者に対して順次一連の検出動作等をする必要があるため、多人数の対象者に対して短期間で検査することは困難である。 However, in order to discover a developmental disorder using the diagnostic support device as described above, it is necessary to sequentially perform a series of detection operations for each target person. It is difficult to inspect in a short period of time.

本発明は、上記の点に鑑み、多人数の対象者に対して、発達障害の可能性を容易に評価可能にすることを目的としている。 In view of the above points, it is an object of the present invention to facilitate evaluation of the possibility of developmental disorders for a large number of subjects.

上記の目的を達成するため、本発明は、
発達障害の可能性を評価する発達障害可能性評価装置であって、
ASSQ検査、ADHD-RS検査、DCDQ検査、SDQ-T検査、およびPSI-C検査の各検査データをそれぞれ評価して、各検査の結果を得るための指標となる各検査データの評価結果を求める検査データ評価部と、
上記各検査データの評価結果に基づいて、発達障害の可能性を示す指標を求める発達障害可能性評価部と、
を有することを特徴とする。
In order to achieve the above objects, the present invention
A developmental disorder possibility evaluation device for evaluating the possibility of a developmental disorder,
Evaluate each test data of the ASSQ test, ADHD-RS test, DCDQ test, SDQ-T test, and PSI-C test, and obtain the evaluation results of each test data that serve as indices for obtaining the results of each test. an inspection data evaluation unit;
a developmental disorder possibility evaluation unit that obtains an index indicating the possibility of a developmental disorder based on the evaluation results of each test data;
characterized by having

これにより、多人数の対象者に対して、発達障害の可能性を容易に評価可能にできる。また、これらの各検査の結果を得るための指標となる各検査データの評価結果を複合的に組み合わせることによって、適切な発達障害可能性の評価をすることが容易にできる。 This makes it possible to easily evaluate the possibility of developmental disorders for a large number of subjects. In addition, by combining the evaluation results of each test data, which serves as an index for obtaining the results of these tests, it is possible to easily and appropriately evaluate the possibility of developmental disorders.

本発明によれば、多人数の対象者に対して、発達障害の可能性を容易に評価可能にすることができる。 ADVANTAGE OF THE INVENTION According to this invention, possibility of a developmental disorder can be easily evaluated with respect to many subjects.

発達障害可能性評価装置の機能的構成を示すブロック図である。It is a block diagram which shows the functional structure of a developmental disability possibility evaluation apparatus. 発達障害可能性評価装置で行われる処理内容を模式的に示す説明図である。FIG. 4 is an explanatory diagram schematically showing the contents of processing performed by the device for evaluating the possibility of developmental disorders;

以下、本発明の実施形態を図面に基づいて詳細に説明する。 BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described in detail based on the drawings.

本実施形態の発達障害可能性評価装置は、例えばソフトウェアが組み込まれたコンピュータによって構成され、機能的には図1に示すような構成を有している。 The developmental disorder possibility evaluation device of this embodiment is configured by a computer in which software is installed, for example, and has a functional configuration as shown in FIG.

同図において、入力部110は、各検査データの入力を受け付けるもので、具体的には、例えばオペレータの入力操作がなされるキーボード等を含む入力装置や、後述する各検査の回答用紙を読み取るマークシートリーダ、文字認識装置などの入力装置、パーソナルコンピュータやスマートフォンなどからインターネット等を介して送られるデータを受信するネットワークインターフェイス、また、あらかじめ記憶装置に記憶されているデータを読み出す読み出し装置などによって構成される。 In the figure, an input unit 110 receives the input of each examination data. It consists of an input device such as a reader and character recognition device, a network interface that receives data sent via the Internet from a personal computer or smartphone, and a reading device that reads data stored in advance in a storage device. .

検査データ評価部120は、ASSQ検査データ評価部121、ADHD-RS検査データ評価部122、DCDQ検査データ評価部123、SDQ-T検査データ評価部124、およびPSI-C検査データ評価部125を備えて構成され、各検査について、例えば満年齢が5歳の評価対象者に対する回答に基づいて、各検査の結果を得る過程で求められる各検査データの評価結果を求めるようになっている。具体的には、例えば各検査のスコアの算出や、カットオフの判定などを行うようになっている。 The test data evaluator 120 includes an ASSQ test data evaluator 121, an ADHD-RS test data evaluator 122, a DCDQ test data evaluator 123, an SDQ-T test data evaluator 124, and a PSI-C test data evaluator 125. For each examination, the evaluation results of each examination data obtained in the process of obtaining the results of each examination are obtained based on the responses from, for example, the persons to be evaluated who are 5 years old. Specifically, for example, the score of each test is calculated, the cutoff is determined, and the like.

ここで、上記発達障害とは、医学用語で用いられるもので、いわゆる神経発達障害(症)に位置づけられるすべての障害をさす。診断基準は米国精神医学会American Psychiatric Association (APA)が作成した、精神障害の診断と統計マニュアルDiagnostic and Statistical Manual of Mental Disorders(DSM)により定義されており、2013年より第5版(DSM-5)の中で、神経発達障害と記されてある。ここには自閉スペクトラム障害(ASD)、注意欠如多動性障害(ADHD)、発達性協調運動障害(DCD)、知的障害(ID)などが含まれる。さらに国内で汎用されている診断基準として世界保健機関World Health Organization(WHO)が作成した、疾病及び関連保健問題の国際統計分類(International Statistical Classification of Diseases and Related Health Problems(ICD)があり、現在第10版(ICD-10)が使用されている。ICD-10での発達障害は、F70-79知的障害<精神遅滞>、F80-89心理的発達の障害、F90-99小児<児童>期及び青年期に通常発症する行動及び情緒の障害が該当する。診断基準は今後改定されるが、同義の障害は今後も存在すると考えられるものである。 Here, the above developmental disorders are used in medical terms and refer to all disorders classified as so-called neurodevelopmental disorders (symptoms). Diagnostic criteria are defined in the Diagnostic and Statistical Manual of Mental Disorders (DSM) created by the American Psychiatric Association (APA). ), it is described as a neurodevelopmental disorder. These include Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), Developmental Coordination Disorder (DCD), and Intellectual Disability (ID). Furthermore, there is the International Statistical Classification of Diseases and Related Health Problems (ICD) created by the World Health Organization (WHO) as diagnostic criteria widely used in Japan. The 10th edition (ICD-10) is used.Developmental disorders in ICD-10 are F70-79 intellectual disability <mental retardation>, F80-89 psychological development disorders, F90-99 childhood <child> and behavioral and emotional disorders that usually develop in adolescence, and although the diagnostic criteria will be revised in the future, synonymous disorders will continue to exist.

また、上記各検査について、詳しくは以下の通りである。 Details of each of the above inspections are as follows.

ASSQ:原版は「The high-functioning Autism Spectrum Screening Questionnaire」(Ehlers氏, Gillberg氏, Wing氏 ,1999)。高機能(知能の高い)のASDをスクリーニングする目的で作成された質問紙を用いた検査である。 ASSQ: The original version is "The high-functioning Autism Spectrum Screening Questionnaire" (Mr. Ehlers, Mr. Gillberg, Mr. Wing, 1999). It is a test using a questionnaire created for the purpose of screening high-functioning (high-intelligence) ASD.

ADHD-RS:正式名称は「Attention-deficit hyperactivity disorder - Rating Scale -IV」。原版は「ADHD Rating Scale」(DuPaul氏, 1991)。診断基準に準拠しており注意欠如多動性障害の不注意症状と多動・衝動症状を総合的に評価できる質問紙を用いた検査である。 ADHD-RS: The official name is "Attention-deficit hyperactivity disorder - Rating Scale -IV". The original version is "ADHD Rating Scale" (DuPaul, 1991). It is a test using a questionnaire that complies with the diagnostic criteria and can comprehensively evaluate the inattention symptoms and hyperactivity/impulsivity symptoms of attention deficit hyperactivity disorder.

DCDQ:原版は「Developmental Coordination Disorder Questionnaire」(Wilson, B. N, 氏2009)。日本語版はNakai氏. Miyachi氏. Okada氏.(2011)らによって作成された。幼児及び思春期早期の微細運動や粗大運動、全般性協応性を評価できる質問紙を用いた検査である。 DCDQ: Originally "Developmental Coordination Disorder Questionnaire" (Wilson, B. N, 2009). The Japanese version was created by Mr. Nakai, Mr. Miyachi, and Mr. Okada (2011). It is a test using a questionnaire that can evaluate fine and gross motor skills and general coordination in infants and early adolescents.

SDQ:原版は「Strengths and Difficulties Questionnaire」(Goodman R氏, 1997)。子どものもつ困難さと強さを評価できる質問紙を用いた検査である。-Pは保護者版(- for Parent)、-Tは教師版(- for Teacher)。 SDQ: Originally from Strengths and Difficulties Questionnaire (Goodman R., 1997). It is a test using a questionnaire that can evaluate the difficulties and strengths of children. -P for - for Parent, -T for - for Teacher.

PSI:原版は「Parenting Stress Index(PSI)」(Richard R.Abidin氏, 1983)。親の育児ストレスを測定する最も有効なツールとして、世界25カ国語以上に翻訳され、研究・臨床のさまざまな場面で活用されている質問紙を用いた検査である。-C(子どもの側面7項目)と-P(親の側面8項目)が存在する。 PSI: Originally "Parenting Stress Index (PSI)" (Richard R. Abidin, 1983). As the most effective tool for measuring parental childcare stress, this test uses a questionnaire that has been translated into more than 25 languages around the world and used in a variety of research and clinical settings. There are -C (7 items of child aspects) and -P (8 items of parent aspects).

発達障害可能性評価部130は、上記各評価部による検査データの評価に基づいて、発達障害の可能性を示す指標を求めるようになっている。具体的には、例えば下記および図2に示す(基準1)~(基準4)の何れかに該当する場合に、発達障害の可能性が高いと評価するようになっている。
(基準1)ASSQ検査データの評価結果が所定の第1のASSQ評価基準(例えば19点)以上(原尺度カットオフ)である。
(基準2)PSI-C検査データの評価結果が所定のPSI-C評価基準(例えば75%)を超えるものである。
(基準3)SDQ-T検査データの評価結果が所定のSDQ-T評価基準(例えば男児の場合に18点、女児の場合に13点)以上であって、かつ、
(基準3-a)ASSQ検査データの評価結果が所定の第2のASSQ評価基準(例えば9点)以上であるか、
(基準3-b)ADHD-RS検査データの評価結果(例えば3項目)の各尺度のうち1つ以上がカットオフであるか、または
(基準3-c)DCDQ検査データの評価結果(例えば4項目)の各尺度のうち1つ以上がカットオフである。
(基準4)以下の何れかに該当する。
The developmental disorder possibility evaluation unit 130 obtains an index indicating the possibility of developmental disorder based on the evaluation of the test data by each of the evaluation units. Specifically, for example, if any of (Criteria 1) to (Criteria 4) shown below and shown in FIG.
(Criterion 1) The evaluation result of the ASSQ inspection data is equal to or higher than the predetermined first ASSQ evaluation standard (for example, 19 points) (original scale cutoff).
(Criterion 2) The evaluation result of PSI-C inspection data exceeds a predetermined PSI-C evaluation criterion (eg, 75%).
(Criteria 3) The evaluation result of SDQ-T test data is equal to or higher than the predetermined SDQ-T evaluation criteria (for example, 18 points for boys and 13 points for girls), and
(Criteria 3-a) Whether the evaluation result of the ASSQ inspection data is equal to or higher than the predetermined second ASSQ evaluation criteria (for example, 9 points),
(Criterion 3-b) one or more of each scale in the ADHD-RS test data evaluation results (eg, 3 items) is a cutoff, or (criterion 3-c) DCDQ test data evaluation results (eg, 4 items) are cutoffs.
(Criterion 4) Any of the following applies.

(基準4-a)上記ADHD-RS検査データの評価結果(例えば3項目)の各尺度のうち2つ以上がカットオフである。 (Criterion 4-a) Two or more of the scales of the evaluation results (for example, 3 items) of the above ADHD-RS test data are cutoffs.

(基準4-b)上記ADHD-RS検査データの評価結果(例えば3項目)の各尺度のうち1つがカットオフであって、かつ、ASSQ検査データの評価結果が所定の第3のASSQ評価基準(例えば9点)以上である。 (Criterion 4-b) One of the scales of the evaluation results of the ADHD-RS test data (for example, 3 items) is a cutoff, and the evaluation result of the ASSQ test data is a predetermined third ASSQ evaluation standard (for example, 9 points) or more.

なお、上記各カットオフ値や評価基準値の設定などは、地域、年齢、スクリーニング基準等に合わせて設定されることが可能である。 It should be noted that the setting of each cut-off value and evaluation criterion value can be set according to the area, age, screening criteria, and the like.

出力部140は、上記発達障害可能性評価部130による評価結果を出力するもので、具体的には、例えば表示部への表示や印刷部による印刷、インターネット等を介した送信、また、記憶装置への記憶などを行うようになっている。 The output unit 140 outputs the evaluation result by the developmental disorder possibility evaluation unit 130. Specifically, for example, it is displayed on the display unit, printed by the printing unit, transmitted via the Internet, etc., or stored in a storage device. It is designed to perform memory to.

上記のような発達障害可能性評価装置によって、実データに基づいて評価を行ったところ、次のような結果が得られた。 When evaluation was performed based on actual data using the device for evaluating the possibility of developmental disorders as described above, the following results were obtained.

すなわち、4例の検査例1~4としてASSQ、ADHD-RS、DCDQ、SDQ-T、PSI-Cを用いた上記基準に対応するアルゴリズムに基づいて、発達障害の可能性を示す指標が所定以上の児童(以下、「リスク児」と呼ぶ。)を抽出した。下記(表1)に、各検査例のスクリーニング対象児数、スクリーニング返却数(および%)、上記アルゴリズムによって抽出されたリスク児数および%、二次健診を受診した二次健診受診児数(および%)、二次健診で発達障害と診断された発達障害児の人数および%、ならびに抽出したリスク児数に対する発達障害児の%を示す。また、併せて、対照例として、ASSQ、ADHD-RS、DCDQ、SDQについて、原版カットオフを用いて、いずれかの質問紙がカットオフを超えるものをリスク児として抽出した場合(旧アルゴリズムの場合)の例を示す。 That is, based on the algorithm corresponding to the above criteria using ASSQ, ADHD-RS, DCDQ, SDQ-T, and PSI-C as test examples 1 to 4 of 4 cases, the index indicating the possibility of developmental disorder is more than a predetermined children (hereinafter referred to as “risk children”) were extracted. The following (Table 1) shows the number of children subject to screening for each test, the number (and %) of screening returned, the number and percentage of at-risk children extracted by the above algorithm, and the number of children who underwent secondary health checkups. (and %) indicates the number and percentage of children with developmental disabilities diagnosed with developmental disorders at the secondary health checkup, and the percentage of children with developmental disabilities to the extracted number of children at risk. In addition, as a control example, using the original cutoff for ASSQ, ADHD-RS, DCDQ, and SDQ, when any one of the questionnaires exceeded the cutoff was extracted as a risk child (in the case of the old algorithm ) shows an example.

対象例の旧アルゴリズムに比べ、検査例1~4の上記アルゴリズムでは、何れも、リスク児の抽出率は減少しているにもかかわらず、二次健診で発達障害と診断された児の割合は増加している。すなわち、二次健診の受診者数を低減しつつ、発達障害と診断される可能性を高めることができ、スクリーニングの効率が上昇していることになる。 Compared to the old algorithm for the target cases, the above algorithms for test cases 1 to 4 show a decrease in the extraction rate of children at risk, but the percentage of children diagnosed with developmental disorders in the secondary medical examination. is increasing. In other words, it is possible to increase the possibility of being diagnosed with a developmental disorder while reducing the number of people undergoing secondary medical examinations, thus increasing the efficiency of screening.

Figure 0007253782000001
Figure 0007253782000001

上記のような基準によってスクリーニングの効率を上昇させ得るのは、例えば定性的および/または定量的に、次のようなメカニズムによると推定される。すなわち、まず、基準1である例えばASSQ≧19点は、親の評価では、特異度は0.90、感度は0.62(Ehlers 氏ら,1999)であり、19点以上の児はASDである可能性が極めて高いと言える。基準2となるPSI-C(親のストレス子どもの側面)>75%は、子育てのストレスが有意に多いとされる水準であり、発達障害児の親は健常児の親に比べて優位に高い水準を要しているため、発達障害のリスクを見つけるのに有効な尺度である。基準3は、SDQ-T(教師評定)カットオフ以上点、かつ、ASSQ、ADHD-RS、DCDQの下位尺度を含むいずれかがカットオフ以上の場合をさす。発達障害の特性を持っていても日常生活に支障がなければ診断基準を満たさない。このため、とくに子どもの社会性を客観的に評価できる園の教師の評定SDQ-Tの値と発達障害の特性を示す尺度の組み合わせがリスク児の抽出に有効である。基準4は、ASSQおよび下位尺度を含むADHD-RSのうちカットオフ値以上が二つ以上のものを抽出する。ASDとADHDの併存は60~70%あるため、他の基準で見落とされる可能性のあるリスク児を抽出できると考えられる。 It is presumed, for example, qualitatively and/or quantitatively, that the efficiency of screening can be increased by the above-mentioned criteria by the following mechanism. For example, ASSQ ≥ 19 points, which is Criterion 1, has a specificity of 0.90 and a sensitivity of 0.62 (Ehlers et al., 1999). It is very likely that there is. Criterion 2, PSI-C (Parental Stress-Child Aspects) > 75%, is the level at which parenting stress is considered to be significantly high, and parents of children with developmental disabilities are significantly higher than parents of healthy children. Because it requires a standard, it is an effective scale for finding the risk of developmental disorders. Criterion 3 refers to a score above the SDQ-T (teacher rating) cutoff and any of the ASSQ, ADHD-RS, and DCDQ subscales above the cutoff. Even if a person has the characteristics of a developmental disorder, it does not meet the diagnostic criteria unless it interferes with daily life. For this reason, the combination of the SDQ-T rating by the kindergarten teacher, which can objectively evaluate children's sociability, and a scale that indicates the characteristics of developmental disorders is effective in extracting at-risk children. Criterion 4 extracts two or more ADHD-RS including ASSQ and subscales with a cutoff value or higher. Since the comorbidity of ASD and ADHD is 60% to 70%, it is possible to extract at-risk children who may be overlooked by other criteria.

上記のように各検査の結果を得る過程で求められる各検査データの評価結果を組み合わせて用いることによって、単独の検査などで抽出できないリスク児を抽出できる可能性を高めることが容易にできるとともに、複数の検査の単なる検査結果自体を論理和条件で用いる場合に抽出されがちである、発達障害でない児童が、抽出されないようにできる可能性を高めることも容易にできる。それゆえ、多人数の対象者に対して、発達障害の可能性を容易に評価可能にできるとともに、適切な発達障害可能性の評価をすることが容易にできる。そこで、発達障害の可能性がある程度高いと評価される評価指標が算出された対象者について、重点的により詳しい評価をすることなどができる。 By combining the evaluation results of each test data obtained in the process of obtaining the results of each test as described above, it is possible to easily increase the possibility of identifying at-risk children that cannot be detected by a single test. It is also possible to easily increase the possibility of not extracting children who are not developmentally disabled, who tend to be extracted when the mere test results themselves of multiple tests are used in the disjunction condition. Therefore, it is possible to easily evaluate the possibility of a developmental disorder for a large number of subjects, and to easily perform an appropriate evaluation of the possibility of a developmental disorder. Therefore, it is possible to conduct a more detailed evaluation intensively on subjects for whom an evaluation index has been calculated that indicates that the possibility of developmental disorders is relatively high.

110 入力部
120 検査データ評価部
121 ASSQ検査データ評価部
122 ADHD-RS検査データ評価部
123 DCDQ検査データ評価部
124 SDQ-T検査データ評価部
125 PSI-C検査データ評価部
130 発達障害可能性評価部
140 出力部
110 input unit 120 test data evaluation unit 121 ASSQ test data evaluation unit 122 ADHD-RS test data evaluation unit 123 DCDQ test data evaluation unit 124 SDQ-T test data evaluation unit 125 PSI-C test data evaluation unit 130 developmental disorder possibility evaluation Unit 140 Output unit

Claims (4)

発達障害の可能性を評価する発達障害可能性評価装置であって、
ASSQ検査、ADHD-RS検査、DCDQ検査、SDQ-T検査、およびPSI-C検査の各検査データをそれぞれ評価して、各検査の結果を得るための指標となる各検査データの評価結果を求める検査データ評価部と、
上記各検査データの評価結果に基づいて、発達障害の可能性を示す指標を求める発達障害可能性評価部と、
を有し、
上記発達障害可能性評価部は、
上記ASSQ検査データの評価結果が所定の第1のASSQ評価基準以上である場合、
上記PSI-C検査データの評価結果が所定のPSI-C評価基準を超えるものである場合、
上記SDQ-T検査データの評価結果が所定のSDQ-T評価基準以上であって、かつ、上記ASSQ検査データの評価結果が所定の第2のASSQ評価基準以上であるか、上記ADHD-RS検査データの評価結果の各尺度のうち1つ以上がカットオフであるか、もしくはDCDQ検査データの評価結果の各尺度のうち1つ以上がカットオフである場合、または
上記ADHD-RS検査データの評価結果の各尺度のうち2つ以上がカットオフであるか、もしくは、上記ADHD-RS検査データの評価結果の各尺度のうち1つがカットオフであって、かつ、上記ASSQ検査データの評価結果が所定の第3のASSQ評価基準以上である場合に、発達障害の可能性が高いと評価することを特徴とする発達障害可能性評価装置。
A developmental disorder possibility evaluation device for evaluating the possibility of a developmental disorder,
Evaluate each test data of the ASSQ test, ADHD-RS test, DCDQ test, SDQ-T test, and PSI-C test, and obtain the evaluation results of each test data that serve as indices for obtaining the results of each test. an inspection data evaluation unit;
a developmental disorder possibility evaluation unit that obtains an index indicating the possibility of a developmental disorder based on the evaluation results of each test data;
has
The Developmental Disorder Possibility Evaluation Department
If the evaluation result of the ASSQ inspection data is equal to or higher than the predetermined first ASSQ evaluation criteria,
If the evaluation result of the PSI-C test data exceeds the predetermined PSI-C evaluation criteria,
The evaluation result of the SDQ-T test data is a predetermined SDQ-T evaluation standard or more, and the evaluation result of the ASSQ test data is a predetermined second ASSQ evaluation standard or more, or the ADHD-RS test one or more of each scale of the data evaluation result is a cutoff, or one or more of each scale of the DCDQ test data evaluation result is a cutoff, or
Two or more of the scales of the evaluation results of the ADHD-RS test data are cutoffs, or one of the scales of the evaluation results of the ADHD-RS test data is a cutoff, and A developmental disorder possibility evaluation device characterized by evaluating that the possibility of developmental disorder is high when the evaluation result of the ASSQ test data is equal to or higher than a predetermined third ASSQ evaluation standard.
請求項1の発達障害可能性評価装置であって、
上記SDQ-T評価基準は、評価対象者の性別に応じて設定されることを特徴とする発達障害可能性評価装置。
The developmental disorder possibility evaluation device according to claim 1 ,
The developmental disorder possibility evaluation device, wherein the SDQ-T evaluation criteria are set according to the sex of the person to be evaluated.
発達障害の可能性を評価する発達障害可能性評価方法であって、
ASSQ検査、ADHD-RS検査、DCDQ検査、SDQ-T検査、およびPSI-C検査の各検査データをそれぞれ評価して、各検査の結果を得るための指標となる各検査データの評価結果を求める検査データ評価ステップと、
上記各検査データの評価結果に基づいて、発達障害の可能性を示す指標を求める発達障害可能性評価ステップと、
をコンピュータに実行させ
上記発達障害可能性評価ステップは、
上記ASSQ検査データの評価結果が所定の第1のASSQ評価基準以上である場合、
上記PSI-C検査データの評価結果が所定のPSI-C評価基準を超えるものである場合、
上記SDQ-T検査データの評価結果が所定のSDQ-T評価基準以上であって、かつ、上記ASSQ検査データの評価結果が所定の第2のASSQ評価基準以上であるか、上記ADHD-RS検査データの評価結果の各尺度のうち1つ以上がカットオフであるか、もしくはDCDQ検査データの評価結果の各尺度のうち1つ以上がカットオフである場合、または
上記ADHD-RS検査データの評価結果の各尺度のうち2つ以上がカットオフであるか、もしくは、上記ADHD-RS検査データの評価結果の各尺度のうち1つがカットオフであって、かつ、上記ASSQ検査データの評価結果が所定の第3のASSQ評価基準以上である場合に、発達障害の可能性が高いと評価することを特徴とする発達障害可能性評価方法。
A developmental disorder possibility evaluation method for evaluating the possibility of a developmental disorder,
Evaluate each test data of the ASSQ test, ADHD-RS test, DCDQ test, SDQ-T test, and PSI-C test, and obtain the evaluation results of each test data that serve as indices for obtaining the results of each test. an inspection data evaluation step;
a developmental disorder possibility evaluation step for obtaining an index indicating the possibility of a developmental disorder based on the evaluation results of each test data;
on the computer , and
The above developmental disorder possibility evaluation step includes:
If the evaluation result of the ASSQ inspection data is equal to or higher than the predetermined first ASSQ evaluation criteria,
If the evaluation result of the PSI-C test data exceeds the predetermined PSI-C evaluation criteria,
The evaluation result of the SDQ-T test data is a predetermined SDQ-T evaluation standard or more, and the evaluation result of the ASSQ test data is a predetermined second ASSQ evaluation standard or more, or the ADHD-RS test one or more of each scale of the data evaluation result is a cutoff, or one or more of each scale of the DCDQ test data evaluation result is a cutoff, or
Two or more of the scales of the evaluation results of the ADHD-RS test data are cutoffs, or one of the scales of the evaluation results of the ADHD-RS test data is a cutoff, and A developmental disorder possibility evaluation method , wherein the evaluation result of the ASSQ test data is equal to or higher than a predetermined third ASSQ evaluation standard, and the possibility of the developmental disorder is evaluated to be high.
請求項3の発達障害可能性評価方法であって、
上記各検査データは、5歳児に対するものであることを特徴とする発達障害可能性評価方法。
The developmental disorder possibility evaluation method according to claim 3 ,
A developmental disorder possibility evaluation method, wherein each of the test data is for a 5-year-old child.
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Publication number Priority date Publication date Assignee Title
WO2018165473A1 (en) 2017-03-08 2018-09-13 Washington University Real time monitoring and prediction of motion in mri

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Publication number Priority date Publication date Assignee Title
WO2018165473A1 (en) 2017-03-08 2018-09-13 Washington University Real time monitoring and prediction of motion in mri

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* Cited by examiner, † Cited by third party
Title
植松勝子,年少児(3歳児クラス)を対象にした4歳児発達相談における「SDQ」の活用の検討,小児保健研究,日本,2016年,第75巻第1号,第92頁-第99頁,5.結果の処理「性別」に属性化、III.1.(3)
足立匡基ほか,ASSQ短縮版の5歳児適用における妥当性,児童青年精神医学とその近接領域,日本,2016年,57(4),603-617

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