scholarly journals Psychometric properties of the Hungarian version of the adult ADHD self-report scale (asrs-v1.1) screener and symptom checklist

Author(s):  
Susana Farcas
2012 ◽  
Vol 47 (2) ◽  
pp. 221-223 ◽  
Author(s):  
Tamara C. Valovich McLeod ◽  
Candace Leach

Reference/Citation: Alla S, Sullivan SJ, Hale L, McCrory P. Self-report scales/checklists for the measurement of concussion symptoms: a systematic review. Br J Sports Med. 2009;43 (suppl 1):i3–i12. Clinical Question: Which self-report symptom scales or checklists are psychometrically sound for clinical use to assess sport-related concussion? Data Sources: Articles available in full text, published from the establishment of each database through December 2008, were identified from PubMed, Medline, CINAHL, Scopus, Web of Science, SPORTDiscus, PsycINFO, and AMED. Search terms included brain concussion, signs or symptoms, and athletic injuries, in combination with the AND Boolean operator, and were limited to studies published in English. The authors also hand searched the reference lists of retrieved articles. Additional searches of books, conference proceedings, theses, and Web sites of commercial scales were done to provide additional information about the psychometric properties and development for those scales when needed in articles meeting the inclusion criteria. Study Selection: Articles were included if they identified all the items on the scale and the article was either an original research report describing the use of scales in the evaluation of concussion symptoms or a review article that discussed the use or development of concussion symptom scales. Only articles published in English and available in full text were included. Data Extraction: From each study, the following information was extracted by the primary author using a standardized protocol: study design, publication year, participant characteristics, reliability of the scale, and details of the scale or checklist, including name, number of items, time of measurement, format, mode of report, data analysis, scoring, and psychometric properties. A quality assessment of included studies was done using 16 items from the Downs and Black checklist1 and assessed reporting, internal validity, and external validity. Main Results: The initial database search identified 421 articles. After 131 duplicate articles were removed, 290 articles remained and were added to 17 articles found during the hand search, for a total of 307 articles; of those, 295 were available in full text. Sixty articles met the inclusion criteria and were used in the systematic review. The quality of the included studies ranged from 9 to 15 points out of a maximum quality score of 17. The included articles were published between 1995 and 2008 and included a collective total of 5864 concussed athletes and 5032 nonconcussed controls, most of whom participated in American football. The majority of the studies were descriptive studies monitoring the resolution of concussive self-report symptoms compared with either a preseason baseline or healthy control group, with a smaller number of studies (n = 8) investigating the development of a scale. The authors initially identified 20 scales that were used among the 60 included articles. Further review revealed that 14 scales were variations of the Pittsburgh Steelers postconcussion scale (the Post-Concussion Scale, Post-Concussion Scale: Revised, Post-Concussion Scale: ImPACT, Post-Concussion Symptom Scale: Vienna, Graded Symptom Checklist [GSC], Head Injury Scale, McGill ACE Post-Concussion Symptoms Scale, and CogState Sport Symptom Checklist), narrowing down to 6 core scales, which the authors discussed further. The 6 core scales were the Pittsburgh Steelers Post-Concussion Scale (17 items), Post-Concussion Symptom Assessment Questionnaire (10 items), Concussion Resolution Index postconcussion questionnaire (15 items), Signs and Symptoms Checklist (34 items), Sport Concussion Assessment Tool (SCAT) postconcussion symptom scale (25 items), and Concussion Symptom Inventory (12 items). Each of the 6 core scales includes symptoms associated with sport-related concussion; however, the number of items on each scale varied. A 7-point Likert scale was used on most scales, with a smaller number using a dichotomous (yes/no) classification. Only 7 of the 20 scales had published psychometric properties, and only 1 scale, the Concussion Symptom Inventory, was empirically driven (Rasch analysis), with development of the scale occurring before its clinical use. Internal consistency (Cronbach α) was reported for the Post-Concussion Scale (.87), Post-Concussion Scale: ImPACT 22-item (.88–.94), Head Injury Scale 9-item (.78), and Head Injury Scale 16-item (.84). Test-retest reliability has been reported only for the Post-Concussion Scale (Spearman r = .55) and the Post-Concussion Scale: ImPACT 21-item (Pearson r = .65). With respect to validity, the SCAT postconcussion scale has demonstrated face and content validity, the Post-Concussion Scale: ImPACT 22-item and Head Injury Scale 9-item have reported construct validity, and the Head Injury Scale 9-item and 16-item have published factorial validity. Sensitivity and specificity have been reported only with the GSC (0.89 and 1.0, respectively) and the Post-Concussion Scale: ImPACT 21-item when combined with the neurocognitive component of ImPACT (0.819 and 0.849, respectively). Meaningful change scores were reported for the Post-Concussion Scale (14.8 points), Post-Concussion Scale: ImPACT 22-item (6.8 points), and Post-Concussion Scale: ImPACT 21-item (standard error of the difference = 7.17; 80% confidence interval = 9.18). Conclusions: Numerous scales exist for measuring the number and severity of concussion-related symptoms, with most evolving from the neuropsychology literature pertaining to head-injured populations. However, very few of these were created in a systematic manner that follows scale development processes and have published psychometric properties. Clinicians need to understand these limitations when choosing and using a symptom scale for inclusion in a concussion assessment battery. Future authors should assess the underlying constructs and measurement properties of currently available scales and use the ever-increasing prospective data pools of concussed athlete information to develop scales following appropriate, systematic processes.


2020 ◽  
Vol 23 (2) ◽  
pp. 97-120
Author(s):  
Aleksandar Batoćanin ◽  
Bojana Dinić

The aim of the research is to explore the psychometric characteristics of the Serbian adaptation of the Adult ADHD Self-Report Scale (ASRS-v1.1) Symptom Checklist and Screener, as well as the Adult ADHD Self-Report Screening Scale for DSM-5 (ASRS-5). In addition to these scales, the Depression Anxiety Stress Scale-21 (DASS-21), Dickman Impulsivity Inventory (DII) and the questions about frequency of risky behaviours (use of alcohol, cigarettes and drugs, overeating, and physical aggression) were administrated on the sample of 226 adults from the general population (43.8% males). The results of confirmatory factor analysis supported the one-factor structure of the ASRS-5. The three-factor structure had the best fit indices for the ASRS-v1.1 Symptom Checklist (inattention, hyperactivity, and impulsivity factors), while the two-factor structure was the best for the ASRS-v1.1 Screener (inattention and hyperactivity factors). However, there was a large profile similarity between factors, which calls into question their discriminant validity. All scales correlated significantly with dysfunctional impulsivity and aspects of psychological distress, with ASRS-5 having the largest number of correlations with risky behaviours. There were no sex differences, and correlations with age were negative. It can be concluded that, although all scales show satisfactory psychometric characteristics, ASRS-5 is the preferred one, given its clear one-dimensional structure and somewhat better validity.


2011 ◽  
Vol 26 (S2) ◽  
pp. 1195-1195 ◽  
Author(s):  
H. Christiansen ◽  
B. Kis ◽  
O. Hirsch ◽  
A. Philipsen ◽  
J. Hebebrand ◽  
...  

IntroductionInstruments for diagnosing Attention-Deficit/Hyperactivity Disorder (ADHD) in childhood are well validated and reliable, but psychometric assessment of ADHD in adults remains problematic. To date the Conners Adult ADHD Rating Scales (CAARS) are frequently used in the assessment of ADHD.ObjectivesThe CAARS were translated into German and a series of studies planned to establish psychometric properties of the CAARS-self and -observer rating scales.AimsTo evaluate the German version of the CAARS.MethodsWe recruited 847 healthy German subjects and 466 adult ADHD patients to fill out the CAARS-self report and questions on socio-demographic variables. Additionally, 896 CAARS-observer reports were filled out by significant others and clinical experts. Factor analyses were conducted to obtain factor structure and to replicate the structure of the original American-model. Comparisons between patients and controls, and analyses on influences of gender, age, and education level were calculated. Additional analyses established psychometric properties.ResultsConfirmative factor analysis based on the original American-model showed a high model-fit for both the German healthy control and the adult ADHD patient sample. Analyses of normative data showed significant influences of age, gender, and education level on the emerging subscales for the control sample only. Differences on all subscales were highly significant between patients and controls. Test-, test-retest-reliability was very high, and criterion validity could be established with DSM-IV based clinical interviews. Sensitivity and specificity ratings are overall very satisfying.ConclusionThe German version of the CAARS is a cross-culturally valid instrument for the assessment of adult ADHD.


2010 ◽  
Author(s):  
Jennifer M. Ladner ◽  
Marcella H. Dunaway ◽  
Stefan E. Schulenberg

2016 ◽  
Vol 21 (2) ◽  
pp. 149-157 ◽  
Author(s):  
Lenard A. Adler ◽  
Lauren R. Lynch ◽  
David M. Shaw ◽  
Samantha P. Wallace ◽  
Katherine E. O’Donnell ◽  
...  

Objectives: (a) Evaluate the efficacy and duration of effect of lisdexamfetamine dimesylate (LDX) in adult ADHD. (b) Assess the reliability and validity of the Adult ADHD Medication Smoothness of Effect Scale (AMSES) and Adult ADHD Medication Rebound Scale (AMRS). Method: Adults ( N = 40) with ADHD were treated with LDX for up to 12 weeks. The primary efficacy measure was the ADHD Rating Scale (ADHD-RS). The psychometric properties of the AMSES and AMRS are analyzed and compared with the ADHD-RS, ADHD Self-Report Scale (ASRS) v1.1 Symptom Checklist, and Time-Sensitive ADHD Symptom Scale (TASS). Results: ADHD-RS scores were significantly improved with LDX. The AMSES and AMRS had high internal consistency and were correlated with the ADHD-RS, ASRS v1.1 Symptom Checklist, and TASS. Conclusion: LDX is effective in treating adult ADHD and has a smooth drug effect throughout the day with limited symptom rebound. The AMSES and AMRS are valid and reliable measures.


2016 ◽  
Vol 24 (12) ◽  
pp. 1648-1660 ◽  
Author(s):  
Will H. Canu ◽  
Cynthia M. Hartung ◽  
Anne E. Stevens ◽  
Elizabeth K. Lefler

Objective: The current study examines psychometric properties of the Weiss Functional Impairment Rating Scale (WFIRS), a measure of adult ADHD-related impairment. It is a self-report questionnaire that provides a metric of overall life impairment and domain-specific dysfunction. Method: Using data from a large ( N = 2,093), multi-institution sample of college students and including a subsample of collateral informants ( n = 262), a series of analyses were conducted. Results: The WFIRS demonstrated robust internal reliability, cross-informant agreement on par or superior to other measures of ADHD symptomatology and impairment, and concurrent validity. The WFIRS was not shown to be uniquely associated with ADHD, as internalizing symptoms also associated with the total and domain scores. Conclusion: The use of the WFIRS in identifying ADHD-related impairment in emerging adults appears to be psychometrically supported, and will prove useful to clinicians and researchers.


2005 ◽  
Author(s):  
Ronald C. Kessler ◽  
Lenard Adler ◽  
Minnie Ames ◽  
Olga Demler ◽  
Steve Faraone ◽  
...  

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