- Open Access
Global impression of perceived difficulties in children and adolescents with attention-deficit/hyperactivity disorder: Reliability and validity of a new instrument assessing perceived difficulties from a patient, parent and physician perspective over the day
© Wehmeier et al; licensee BioMed Central Ltd. 2008
Received: 23 January 2008
Accepted: 28 May 2008
Published: 28 May 2008
The objective of this analysis was to evaluate the psychometric properties of a brief scale developed to assess the degree of difficulties in children with Attention-Deficit/Hyperactivity Disorder (ADHD). The Global Impression of Perceived Difficulties (GIPD) scale reflects overall impairment, psychosocial functioning and Quality of Life (QoL) as rated by patient, parents and physician at various times of the day.
In two open-label studies, ADHD-patients aged 6–17 years were treated with atomoxetine (target-dose 0.5–1.2 mg/kg/day). ADHD-related difficulties were assessed up to week 24 using the GIPD. Data from both studies were combined to validate the scale.
Overall, 421 patients received atomoxetine. GIPD scores improved over time. All three GIPD-versions (patient, parent, physician) were internally consistent; all items showed at least moderate item-total correlation. The scale showed good test-retest reliability over a two-week period from all three perspectives. Good convergent and discriminant validity was shown.
GIPD is an internally consistent, reliable and valid measure to assess difficulties in children with ADHD at various times of the day and can be used as indicator for psychosocial impairment and QoL. The scale is sensitive to treatment-related change.
Attention-deficit/hyperactivity disorder (ADHD) is a disorder characterized by inattention, impulsivity and hyperactivity that affects 3–7% of school-age children . ADHD is associated with significant impairment of cognitive and psychosocial functioning [2, 3] and quality of life (QoL) in patients and their families [4–9]. Psychostimulants and behavior therapy are known to be effective in the treatment of ADHD, as reported in the MTA study  and other studies (e.g. Döpfner et al. 2004) . Atomoxetine is a non-stimulant treatment option for ADHD [12, 13] for which efficacy and tolerability in children and adolescents has been demonstrated in a number of randomized, placebo-controlled trials [14–17], supported by a recent meta-analysis . In addition, several studies have shown improvement of health-related QoL in children and adolescents treated with atomoxetine [16, 19–25]. In most of these studies, investigator-rated questionnaires such as the ADHD-Rating Scale (ADHD-RS) [26, 27], the Clinical Global Impression (CGI) [28, 29], or the parent-rated ADHD-symptom checklists and other questionnaires such as the Child Health Questionnaire (CHQ)  were used. However, when assessing QoL in children and adolescents with ADHD, both symptom severity and ADHD-related difficulties may be perceived and rated differently by patients, parents and physicians [9, 31], potentially resulting in inconsistent findings. Therefore ADHD-related difficulties (and thus the impairment) as perceived from various perspectives were assessed in two studies undertaken in Germany in children and adolescents with ADHD [25, 32]. The aim of these two studies was to compare the various perspectives as reflected by the newly devised Global Impression of Perceived Difficulties (GIPD) scale. The GIPD can be taken to reflect the difficulties related to ADHD and common co-morbid disorders such as oppositional-defiant disorder (ODD) or conduct disorder (CD) if present. The difficulties captured by the GIPD obviously relate to the degree of impairment, the level of psychosocial functioning and QoL in such children and adolescents at various times of the day [25, 32]. Three versions of this scale were used to assess ADHD-related difficulties as perceived from three different perspectives: the patient, parent, and physician perspective. The results of this comparison have been published elsewhere [25, 32]. The primary aim of this secondary analysis was to assess the psychometric properties of the GIPD scale in terms of validity and reliability . Using valid and reliable scales is important when measuring QoL in pediatric patients [34–37], especially when assessing children and adolescents with ADHD [38–41].
Study design and procedures
This is a secondary analysis of data from two almost identical multi-center, single-arm, open-label studies in two different age groups (children and adolescents) that were designed to investigate the quality of life in patients with ADHD treated with atomoxetine as reflected by the degree of difficulties perceived by patients, parents and physicians [25, 32]. Patients were recruited from child and adolescent psychiatric and pediatric practices and outpatient clinics throughout Germany. Patients aged 6–17 years with ADHD as defined in the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR)  were eligible for the studies. The diagnosis was confirmed using the "Diagnose-Checkliste Hyperkinetische Störungen" (Diagnostic Checklist for Hyperkinetic Disorders), a structured instrument which is routinely used for the diagnostic assessment of ADHD in Germany . The items of this instrument correspond to those of the ADHD-RS. Patients had to have an IQ of ≥ 70 based on the clinical judgment of the investigator. The exclusion criteria included clinically significant abnormal laboratory findings, acute or unstable medical conditions, cardiovascular disorder, history of seizures, pervasive developmental disorder, psychosis, bipolar disorder, suicidal ideation, any medical condition that might increase sympathetic nervous system activity, or the need for psychotropic medication other than study drug. Patients already being treated with atomoxetine were also excluded. The protocol was approved by an ethics committee, and the study was conducted in accordance with the principles of the Declaration of Helsinki.
Following a wash-out period, baseline assessments were carried out with all the instruments used. During the first week of treatment, the patients received atomoxetine at a dose of approximately 0.5 mg/kg body weight (BW) per day. During the following 7 weeks, the recommended target dose was 1.2 mg/kg BW per day, but could be adjusted within a range of 0.5–1.4 mg/kg BW per day, depending on effectiveness and tolerability. Medication was given once a day in the morning. Assessments were carried out weekly during the first two weeks of treatment, and every two weeks thereafter. After the 8 week treatment period, the physicians decided in accordance with the patients and their parents whether the patient was to continue treatment for additional 16 weeks. Those who participated in this extension period continued on the same atomoxetine dose which again could be adjusted within a range of 0.5–1.4 mg/kg BW per day as considered appropriate by the physician. During the extension period, three assessments were carried out, after 12, 16, and 24 weeks after baseline. The following instruments were used: Global Impression of Perceived Difficulties (GIPD), Attention-Deficit/Hyperactivity Disorder Rating Scale (ADHD-RS), Clinical Global Impression-Severity (CGI-S), and Weekly Rating of Evening and Morning Behavior – Revised (WREMB-R). The data from both studies were combined and analyzed together.
The five items of the GIPD scale. The wordings of the questions vary slightly, depending on the rater (patient, parent, physician).
1. Think about the past seven days. How difficult have your mornings been?
1. Think about the past seven days. How difficult have the mornings of your child been? Please take into account all information you may have obtained from persons who have also seen your child in the morning.
1. Considering the past seven days, how difficult have the mornings of your patient been? Please include all information provided by the patient and information you may have been able to obtain from other persons who have seen your patient in the morning.
2. Think about the past seven days. How difficult has your time spent in school been?
2. Think about the past seven days. How difficult has the time spent in school been for your child? Please take into account all information you may have obtained from persons who know your child (e.g. parents, teachers, nurses, other caregives).
2. Considering the past seven days, how difficult has the time spent in school been for your patient? Please include all information provided by the patient and information you may have been able to obtain from other persons who know your patient (e.g. parents, teachers, nurses, other caregives).
3. Think about the past seven days. How difficult has your time spent doing homework been?
3. Think about the past seven days. How difficult has the time spent doing homework been for your child? Please take into account all information you may also have obtained from persons who know your child (e.g. parents, teachers, nurses, other caregives).
3. Considering the past seven days, how difficult has the time spent doing homework been for your patient? Please include all information provided by the patient and information you may have been able to obtain from other persons who know your patient (e.g. parents, teachers, nurses, other caregives).
4. Think about the past seven days. How difficult have your evenings been?
4. Think about the past seven days. How difficult have the evenings of your child been? Please take into account all information you may have obtained from persons who have also seen your child in the evening.
4. Considering the past seven days, how difficult have the evenings of your patient been? Please include all information provided by the patient and information you may have been able to obtain from persons who have seen your patient in the evening.
5. Think about the past seven days. How difficult have your days and nights been generally?
Did anyone help you with the answers? (yes/no)
5. Think about the past seven days. How difficult have the days and nights of your child been generally? Please take into account all information you may have obtained from other persons who also know your patient (e.g. parents, teachers, nurses, other caregives).
5. Considering the past seven days, how difficult have the days and nights of your patient been generally? Please include all information provided by the patient and information you may have been able to obtain from other persons who know your patient (e.g. parents, teachers, nurses, other caregives).
The Attention-Deficit/Hyperactivity Disorder Rating Scale-IV-Parent Version: Investigator-Administered and Scored (ADHD-RS) is an 18-item scale, with one item for each of the 18 ADHD symptoms listed in DSM-IV-TR [26, 27]. There are two subscales: the "hyperactivity/impulsivity" subscale is the sum of the even items, and the "inattention" subscale is the sum of the odd items. This scale is scored by an investigator while interviewing the parent or primary caregiver. Reliability and validity of this scale has been demonstrated in several European samples including one from Germany 
The Clinical Global Impression-Severity-Attention-Deficit/Hyperactivity Disorder scale (CGI-S ADHD) is a seven point single-item rating scale of the clinician's assessment of the severity of ADHD symptoms [28, 29].
The WREMB-R-Inv scale is based on the Daily Parent Rating of Evening and Morning Behavior – Revised (DPREMB-R) scale . It has been modified to allow a weekly assessment of behavioral symptoms. In this study, the investigator-rated version was used. The investigator rating was based on information provided by the parent. The DPREMB-R measures 11 specific morning or evening activities (e.g., getting up and out of bed, doing or completing homework, sitting through dinner). The possible score for each item ranges from 0 (no difficulty) to 3 (a lot of difficulty). The DPREMB-R has been validated for the assessment of ADHD behaviors  and has been used in several studies to assess behavior in children and adolescents with ADHD [14, 15].
Sample size and statistical analysis
Details on the sample size calculation for the two studies first using the GIPD have been published elsewhere [25, 32]. The data of all patients were evaluated (Full Analysis Set, FAS) using SAS version 8. The dataset for all analyses of changes from baseline to endpoint consisted of all patients with a baseline measurement and at least one post-baseline measurement during the 8 week treatment phase.
Evaluation was largely descriptive. All tests of statistical significance were carried out at a nominal level of 5% using two-tailed test procedures. Two-sided confidence intervals (CIs) were computed using a 95% confidence level. All inferences regarding statistical significance were based on comparisons of the 95% confidence intervals (CI). This is equivalent to significance tests with p-values and a two-sided α-level of 5%. To avoid correlations of imputed values, only observed cases (OC) analyses were performed. No imputation of missing values like last observation carried forward (LOCF) was applied.
Percentages of missing values of the GIPD items were calculated for each visit and each perspective. Ceiling and floor effects for the GIPD total score were calculated by the percentage of ratings with the lowest and highest achievable scores for each visit and each perspective. Internal consistency of the GIPD total score was analyzed by using Cronbach's alpha for each visit and each perspective. Additionally, part-whole corrected item-total correlations were provided. Test-retest reliability of the GIPD total score was checked by comparing weeks 6 and 8 in terms of Spearman's correlation coefficient for the items and Pearson's correlation coefficient for the total score for each perspective. The rank-based Spearman's correlation coefficient was used for the items as they have an ordinal structure with only five categories. Pearson's correlation coefficient, which is based on the original values, was used for the total scores in order to assess the linear association of the more continuous total scores. Weeks 6 and 8 were chosen because the treatment and the disease severity was expected to be fairly stable during this period. 95% confidence intervals for the correlation coefficients were computed based on Fisher's z-transformation. Additionally, a weighted version of Cohen's kappa was provided together with 95% CIs.
The validity of the GIPD total score was evaluated as follows: 1) Means over time were provided together with 95% CIs for each perspective. 2) The agreement between the perspectives was described using Cohen's kappa for each visit and each pair of perspectives. 3) The GIPD total score was compared with the WREMB-R total score, the CGI-S score, and the ADHD-RS total score by Pearson's correlation coefficients with 95% CIs for each perspective, at each time point, and for all time points pooled. 4) The GIPD items for morning and evening were compared with the respective sub-scores of the WREMB-R in the same way. 5) Mean GIPD total scores were calculated for each level of the CGI-S with all visits pooled for each perspective to evaluate the relationship between the severity of the disease and the GIPD total score.
Patient population and disposition
Age at 1st occurrence of symptoms (Years)
Age at 1st ADHD-diagnosis (Years)
Predominantly inattentive subtype*
Predominantly hyperactive-impulsive subtype*
ADHD, not otherwise specified *
349 (82.9%) of the 421 patients had previously been treated for ADHD. The percentage was similar for the predominantly inattentive subtype (N = 101, 81.5%) and the combined subtype (N = 231, 83.1%). Medications most frequently used were short-acting methylphenidate (N = 290, 68.9%), long-acting methylphenidate (N = 196, 46.6%), amphetamines (N = 56, 13.3%), antipsychotic drugs (N = 12, 2.9%) and herbal/complementary therapies (N = 10, 2.4%). Commonly reported non-drug therapies prior to study were: occupational therapy (N = 48, 11.4%), "other" psychotherapy (N = 31, 7.4%), structured psychotherapy (N = 42, 10.0%), and remedial education (N = 10, 2.4%). The most frequent reason for discontinuation of previous therapy in patients with pre-treatment was inadequate response (N = 216, 61.9%).
The mean dose of atomoxetine given during the first week of treatment was 0.50 mg/kg BW per day (SD 0.07, range 0.40 – 0.80 mg/kg per day). Thereafter, the mean dose for the respective visit intervals ranged between 1.17 and 1.18 mg/kg BW per day (range 0.40 – 1.50 mg/kg day).
For patients, missing values were between 0 and 0.38% for items 1, 4, and 5, and between 0.24% and 1.61% for items 2 and 3. For parents, missing values for the morning and evening ratings (items 1 and 4) were between 0 and 0.25% of all ratings for the respective items and the various visits. For items 2, 3, and 5 missing values occurred between 0 and 3.13% of all ratings for the respective item and visit. For physicians, there were no missing values for items 1, 4, and 5 at all but one visit. For items 2 and 3 there were missing values between 0 and 2.1% of all ratings for the respective item and visit. Thus, the items related to school and homework were those with the highest percentage of missing values. However, the percentage of missing values did not exceed 3.1%, indicating a tolerable lack of information. For the other three items, missing values were negligible.
Floor and ceiling effects
At baseline, floor effects (GIPD total score = 1) were 15.38% for the patient, 2.91% for the parent, and 1.45% for the physician perspective. The ceiling effects (GIPD total score = 7) were 0.96% for the patient, 2.18% for the parent, and 0.97% for the physician perspective. At endpoint (week 24) floor effects increased to 45.17% for the patient, 26.07% for the parent, and 27.59% for the physician perspective (as would be expected after successful treatment). The ceiling effects decreased to 0.39% for the patient, 0.39% for the parent, and 0% for the physician perspective.
Internal consistency (Cronbach's alpha) and part-whole corrected item-total Pearson's correlation coefficient (minimum and maximum of the 5 items) in brackets for the GIPD-Total Score (OC) over time
0.76 (0.46 – 0.67)
0.84 (0.57 – 0.80)
0.86 (0.57 – 0.86)
0.83 (0.55 – 0.72)
0.87 (0.62 – 0.86)
0.90 (0.69 – 0.89)
0.82 (0.52 – 0.72)
0.90 (0.68 – 0.88)
0.91 (0.67 – 0.92)
0.83 (0.53 – 0.74)
0.89 (0.67 – 0.88)
0.90 (0.67 – 0.90)
0.85 (0.56 – 0.78)
0.90 (0.67 – 0.89)
0.91 (0.69 – 0.91)
0.83 (0.50 – 0.78)
0.88 (0.64 – 0.85)
0.90 (0.65 – 0.91)
0.82 (0.52 – 0.71)
0.91 (0.70 – 0.89)
0.93 (0.75 – 0.93)
0.82 (0.52 – 0.78)
0.90 (0.69 – 0.88)
0.92 (0.72 – 0.91)
0.83 (0.57 – 0.76)
0.89 (0.66 – 0.87)
0.91 (0.66 – 0.92)
Spearman's correlations between items rated at weeks 6 and 8 ranged from 0.473 [CI 0.380 to 0.554] (item 1) to 0.557 [CI 0.474 to 0.629] (item 5) for the patient, 0.551 [CI 0.466 to 0.624] (item 2) and 0.600 [CI 0.521 to 0.667] (item 4) for the parent, 0.525 [CI 0.439 to 0.600] (item 2) and 0.578 [CI 0.498 to 0.647] (item 5) for the physician perspective. The respective Cohen's kappas were between 0.410 [CI 0.278 to 0.542] (item 3) and 0.597 [CI 0.505 to 0.688] (item 5) for the patient, 0.509 [CI 0.410 to 0.609] (item 2) and 0.607 [CI 0.511 to 0.704] (item 1) for the parent, and between 0.543 [CI 0.433 to 0.652] (item 3) and 0.580 [CI 0.487 to 0.673] (item 5) for the physician perspective.
Pearson's correlation coefficients of the total scores rated at weeks 6 and 8 were 0.644 [CI 0.573 to 0.704] for the patient, 0.670 [CI 0.602 to 0.728] for the parent, and 0.654 [CI 0.584 to 0.713] for the physician perspective. The respective Cohen's kappas were 0.642 [CI 0.555 to 0.729], 0.669 [CI 0.589 to 0.749], and 0.653 [CI 0.559 to 0.746]. These results indicate a moderate to good test-retest reliability within a period of two weeks.
Agreement between patient, parent and physician perspectives over time (convergent validity)
Parents rated the ADHD-related difficulties at baseline as significantly less severe than physicians (mean GIPD total score, baseline parent: 18.6 [CI 18.0 to 19.2]), physician: 20.3 [CI 19.7 to 20.8]). However, the parent and physician total scores converged as early as week 2 (parent: 14.3 [CI 13.6 to 14.9], physician: 14.3 [CI 13.7 to 14.9]) and overlapped for the remainder of the observation period (week 24, parent: 11.5 [CI 10.8 to 12.2], physician: 11.5 [CI 10.9 to 12.2]). Compared to the parent and physician ratings, the children and adolescents perceived their difficulties as significantly less severe over the entire observation period (mean GIPD-total score patient baseline: 13.1 [CI 12.5 to 13.6], week 2: 10.4 [CI 9.9 to 11.0], week 24: 8.9 [CI 8.3 to 9.4]).
Cohen's kappa for GIPD total scores (OC) with 95% confidence intervals (CI) over time.
Patient – Parent
Patient – Physician
Physician – Parent
Comparison of GIPD total scores with WREMB-R (convergent validity), CGI-S, and ADHD-RS total scores (discriminant validity) over time
Comparison of GIPD total scores with WREMB-R, CGI-S, and ADHD-RS total scores over time (Pearson's Correlation Coefficients with 95% CIs).
GIPD total score (patient-rated)
GIPD total score (parent-rated)
GIPD total score (physician-rated)
WREMB-R total score
ADHD-RS total score
Correlation between the physician-rated CGI-S total score and GIPD total score from the three perspectives at baseline was significantly lower both from a patient (0.269, 95% CI: 0.185 to 0.363) and a parent perspective (0.407, 95% CI: 0.323 to 0.485) than from a physician perspective (0.570, 95% CI: 0.501 to 0.631). Over time, this pattern persisted, although with slightly higher correlations. However, the differences between parent and physician ratings were not always statistically significant. At endpoint, correlation was significantly lower from a patient perspective (0.312, 95% CI: 0.197 to 0.418) than from a physician perspective (0.674, 95% CI: 0.600 to 0.734). The correlation was 0.578 (95% CI: 0.490 to 0.654) from a parent perspective and therefore significantly higher than from a patient perspective.
Comparing the confidence intervals (CI), the correlation between the physician-rated ADHD-RS total score and GIPD total score from the three perspectives at baseline was significantly lower from a patient perspective (0.201, 95% CI: 0.106 to 0.291) than from a parent (0.427, 95% CI: 0.344 to 0.503) or physician perspective (0.514, 95% CI: 0.439 to 0.581). Over time, this pattern persisted, although with slightly higher correlations. At week 24, correlation was significantly lower from a patient perspective (0.311, 95% CI: 0.196 to 0.417) than from a parent (0.661, 95% CI: 0.585 to 0.724) or physician perspective (0.680, 95% CI: 0.608 to 0.740).
Comparison of GIPD scores for the morning and evening items with the WREMB-R morning and evening subscales (convergent validity)
Comparison of GIPD scores for the morning and evening items with the WREMB-R morning and evening subscales (Pearson's Correlation Coefficients with 95% CIs).
GIPD morning (patient-rated)
GIPD morning (parent-rated)
GIPD morning (physician-rated)
WREMB-R morning subscore
GIPD evening (patient-rated)
GIPD evening (parent-rated)
GIPD evening (physician-rated)
WREMB-R evening subscore
Mean GIPD total scores by symptom severity (CGI-S) (discriminant validity)
The aim of this post-hoc analysis was to evaluate and validate the newly devised GIPD scale that measures the degree of ADHD-related difficulties perceived by patients, parents and physicians at various times of the day. Other scales available so far to assess the level of psychosocial functioning from several perspectives, such as the Child Health Questionnaire (CHQ) , Child Health and Illness Profile (CHIP) , or the Marburg System of Quality Assurance and Therapy Evaluation (MARSYS) [46, 47], do not distinguish between various times of the day. Furthermore, the GIPD can be taken to reflect the health-related quality of life in children and adolescents with ADHD . However, since the introduction of various long-acting ADHD medications, interest in duration of action of these medications over the day has increased . The GIPD was therefore designed both to capture ADHD-related difficulties and to distinguish between various times of the day. Thus, results obtained by using the GIPD can be compared with results obtained by using other instruments that distinguish between various times of the day, such as the Daily Parent Rating of Evening and Morning Behavior (DPREMB) scale  or the Weekly Rating of Evening and Morning Behavior (WREMB) scale . As the GIPD was designed as a global impression scale, all five items of the GIPD resemble the Clinical Global Impression (CGI) scale [28, 29] quite closely.
A total of 421 children and adolescents diagnosed with ADHD according to DSM-IV criteria were included in this analysis of data from two open-label studies. The mean age of the patients was 11.1 (SD 2.74) years, 338 (80.3%) were boys, 83 (19.7%) were girls.
One of the findings of the two studies on which the GIPD validation is based was a relatively high percentage of patients with the predominantly inattentive type of ADHD. One can only speculate about the reasons. Perhaps there was some sort of selection bias in these open-label studies towards patients with the inattentive type, particularly the study with adolescents. In the study with children, only 19.5% of patients were of the inattentive type, whilst considerable 45.9% were of the inattentive type in the study with adolescents. This obviously resulted in a proportion of 29.5% with the inattentive type in the pooled data (children and adolescents). One further reason could be the fact that the symptoms change as patients grow older: hyperactive or impulsive behaviour tends to decline, whilst inattentive symptoms tend to remain. This would explain the greater proportion of patients with the inattentive subtype in the study with adolescents compared to the study with children.
Although it is short (5 items), the GIPD scale rated by parents, physicians and patients has been shown to be internally consistent. For all items at least a moderate item-total correlation was found. Moreover, the scale has also shown good test-retest reliability over a period of two weeks for all three perspectives. The mean GIPD total scores (OC) generally showed a parallel course over time from all three rater perspectives (Figure 3). Parents rated ADHD-related difficulties at baseline as significantly less severe than physicians, but the parent and physician total scores converged as early as week 2 and the Cohen's kappa coefficients indicate a moderate agreement between parents' and physicians' ratings. However, the agreement between parents and physicians on the one hand and the patients on the other hand were quite low, as indicated by the kappa coefficients. Thus, adults seem to agree to a greater extent on the degree of perceived ADHD-related difficulties in the patients than the children and adolescents.
However, patients, parents and physicians perceived an improvement of ADHD-related difficulties over time. Compared to the parent and physician ratings, the children and adolescents perceived their difficulties as significantly less severe throughout the entire study. This suggests that children and adolescents perceive their ADHD-related difficulties to a lower extent than adults do. These findings reflect the findings from the two studies that assessed children and adolescents separately [25, 32]. Moreover, studies on the correlations between the ratings of behavioral and emotional problems as rated by parents and children or adolescents also reveal little agreement in the ratings of parents and their children. For example, Achenbach et al.  found in their meta-analysis a correlation of r = 0.25 between parents and children ratings of behavioral and emotional problems. This result was replicated in a German sample .
The higher correlation between parent and physician perspectives may also be due to the fact that the physicians based their ratings primarily on the information from the parents rather than the patients. Thus, convergent validity may be artificially inflated. However, the patient perspective on daily difficulties provides important additional information when evaluating the efficacy and effectiveness of a treatment. The low to moderate correlations of the different perspectives underline the need for assessing these perspectives separately.
The moderate correlations between physician-rated ADHD symptoms on the ADHD rating scale and the GIPD indicate a reasonable discriminant validity of the difficulties and the impairment of the child in different settings throughout the day as assessed by the GIPD scale on the one hand and the ADHD-RS on the other. Somewhat higher correlations were found with the WREMB-R which assesses a similar construct (i. e. 11 specific common morning or evening behaviors). This finding indicates the convergent validity of the GIPD in showing higher correlations to scales assessing similar constructs.
These studies and analyses have several limitations. Most importantly, they did not include a placebo control, so that the degree to which the results reflect drug-specific effects cannot be determined definitively. Also, sensitivity regarding differences between placebo and active comparator cannot be determined. In these studies, no further instrument assessing behavioral or emotional problems as perceived by the patients were used. Such self-report scales on ADHD symptoms or ADHD-related difficulties allow the calculation of convergent and discriminant validity and allow comparisons with other self report measures . A future comparison of this sample with children without ADHD or with other behavioral or emotional problems would be interesting. This would allow the assessment of perceived difficulties in a more representative sample. A further limitation of this study is the age-distribution of the sample that does not reflect the age-distribution of individuals with ADHD in the general population. This is due to the fact that this analysis is based on two identical studies, one in children and one in adolescents. Beyond age as a covariate, other factors such as ADHD subtype, co-morbid disorders, type of school, family environment or other environmental factors may also influence a range of GIPD results (e.g. agreement between perspectives or treatment response as reflected by the GIPD). Further research on these factors is warranted.
Overall, the GIPD can be considered an internally consistent, reliable and valid measure to assess difficulties experienced by children with ADHD throughout the day and can be used as an indicator for psychosocial impairment and quality of life . Moreover, the two treatment studies on which this analysis is based also show that the scale is sensitive to treatment-related change.
We wish to thank Ms. Anette Minarzyk for her help in preparing the tables and the figures and for editing the manuscript.
- American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR). 2000, Washington, DC, American Psychiatric AssociationView ArticleGoogle Scholar
- Barkley RA: Major life activity and health outcomes associated with attention-deficit/hyperactivity disorder. J Clin Psychiatry. 2002, 10-15. Suppl 12Google Scholar
- Biederman J, Faraone SV: Attention-deficit hyperactivity disorder. Lancet. 2005, 366: 237-248. 10.1016/S0140-6736(05)66915-2.View ArticlePubMedGoogle Scholar
- Escobar R, Soutullo CA, Hervas A, Gastaminza X, Polavieja P, Gilaberte I: Worse quality of life for children with newly diagnosed attention-deficit/hyperactivity disorder, compared with asthmatic and healthy children. Pediatrics. 2005, 116: e364-e369. 10.1542/peds.2005-0386.View ArticlePubMedGoogle Scholar
- Harpin VA: The effect of ADHD on the life of an individual, their family, and community from preschool to adult life. Arch Dis Child. 2007, i2-i7. Suppl 1Google Scholar
- Klassen AF, Miller A, Fine S: Health-related quality of life in children and adolescents who have a diagnosis of attention-deficit/hyperactivity disorder. Pediatrics. 2004, 114: e541-e547. 10.1542/peds.2004-0844.View ArticlePubMedGoogle Scholar
- Matza LS, Rentz AM, Secnik K, Swensen AR, Revicki DA, Michelson D, Spencer T, Newcorn JH, Kratochvil CJ: The link between health-related quality of life and clinical symptoms among children with attention-deficit hyperactivity disorder. J Dev Behav Pediatr. 2004, 25: 166-174. 10.1097/00004703-200406000-00005.View ArticlePubMedGoogle Scholar
- Riley AW, Spiel G, Coghill D, Döpfner M, Falissard B, Lorenzo MJ, Preuss U, Ralston SJ, ADORE Study Group: Factors related to Health-Related Quality of Life (HRQoL) among children with ADHD in Europe at entry into treatment. Eur Child Adolesc Psychiatry. 2006, i38-i45. 10.1007/s00787-006-1006-9. Suppl 1Google Scholar
- Sawyer MG, Whaites L, Rey JM, Hazell PL, Graetz BW, Baghurst P: Health-related quality of life of children and adolescents with mental disorders. J Am Acad Child Adolesc Psychiatry. 2002, 41: 530-537. 10.1097/00004583-200205000-00010.View ArticlePubMedGoogle Scholar
- Jensen PS, Hinshaw SP, Swanson JM, Greenhill LL, Conners CK, Arnold LE, Abikoff HB, Elliott G, Hechtman L, Hoza B, March JS, Newcorn JH, Severe JB, Vitiello B, Wells K, Wigal T: Findings from the NIMH multimodal treatment study of ADHD (MTA): implications and applications for primary care providers. Dev Behav Pediatrics. 2001, 22 (1): 60-73.View ArticleGoogle Scholar
- Döpfner M, Breuer D, Schürmann S, Metternich TW, Rademacher C, Lehmkuhl G: Effectiveness of an adaptive multimodal treatment in children with Attention-Deficit Hyperactivity Disorder – global outcome. Eur Child Adolesc Psychiatry. 2004, I117-I129. Suppl 1Google Scholar
- Banaschewski T, Roessner V, Dittmann RW, Santosh PJ, Rothenberger A: Non-stimulant medications in the treatment of ADHD. Eur Child Adolesc Psychiatry. 2004, I102-I116. Suppl 1Google Scholar
- Becker K, Wehmeier PM, Schmidt MH: The Noradrenergic Transmitter System in ADHD: Principles and Implications for Treatment. 2006, Stuttgart (Germany): ThiemeGoogle Scholar
- Kelsey DK, Sumner CR, Casat CD, Coury DL, Quintana H, Saylor KE, Sutton VK, Gonzales J, Malcolm SK, Schuh KJ, Allen AJ: Once-daily atomoxetine treatment for children with attention-deficit/hyperactivity disorder, including an assessment of evening and morning behavior: a double-blind, placebo-controlled trial. Pediatrics. 2004, 114: e1-e8. 10.1542/peds.114.1.e1.View ArticlePubMedGoogle Scholar
- Michelson D, Allen AJ, Busner J, Casat C, Dunn D, Kratochvil C, Newcorn J, Sallee FR, Sangal RB, Saylor K, West S, Kelsey D, Wernicke J, Trapp NJ, Harder D: Once-daily atomoxetine treatment for children and adolescents with attention deficit hyperactivity disorder: a randomized, placebo-controlled study. Am J Psychiatry. 2002, 159: 1896-1901. 10.1176/appi.ajp.159.11.1896.View ArticlePubMedGoogle Scholar
- Michelson D, Faries D, Wernicke J, Kelsey D, Kendrick K, Sallee FR, Spencer T, Atomoxetine ADHD Study Group: Atomoxetine in the treatment of children and adolescents with attention-deficit/hyperactivity disorder: a randomized, placebo-controlled, dose-response study. Pediatrics. 2001, 108: e83-e91. 10.1542/peds.108.5.e83.View ArticlePubMedGoogle Scholar
- Spencer T, Heiligenstein JH, Biederman J, Faries DE, Kratochvil CJ, Conners CK, Potter WZ: Results from 2 proof-of-concept, placebo-controlled studies of atomoxetine in children with attention-deficit/hyperactivity disorder. J Clin Psychiatry. 2002, 63: 1140-1147.View ArticlePubMedGoogle Scholar
- Cheng JYW, Chen RYL, Ko JSN, Ng EML: Efficacy and safety of atomoxetine for attention-deficit/hyperactivity disorder in children and adolescents. Meta-analysis and meta-regression analysis. Psychopharmacology (Berl). 2007, 194: 197-209. 10.1007/s00213-007-0840-x.View ArticleGoogle Scholar
- Brown RT, Perwien A, Faries DE, Kratochvil CJ, Vaughan BS: Atomoxetine in the management of children with ADHD: effects on quality of life and school functioning. Clin Pediatr (Phila). 2006, 45: 819-827.View ArticleGoogle Scholar
- Buitelaar JK, Danckaerts M, Gillberg C, Zuddas A, Becker K, Bouvard M, Fagan J, Gadoros J, Harpin V, Hazell P, Johnson M, Lerman-Sagie T, Soutullo CA, Wolanczyk T, Zeiner P, Fouche DS, Krikke-Workel J, Zhang S, Michelson D, Stomoxetine International Study Group: A prospective, multi-center, open-label assessment of atomoxetine in non-North American children and adolescents with ADHD. Eur Child Adolesc Psychiatry. 2004, 13: 249-257.PubMedGoogle Scholar
- Matza LS, Stoeckl MN, Shorr JM, Johnston JA: Impact of atomoxetine on health-related quality of life and functional status in patients with ADHD. Expert Rev Pharmacoeconomics Outcomes Res. 2006, 6: 379-390. 10.1586/14737188.8.131.529.View ArticleGoogle Scholar
- Perwien AR, Kratochvil CJ, Faries DE, Vaughan BS, Spencer T, Brown RT: Atomoxetine Treatment in Children and Adolescents with Attention-Deficit Hyperactivity Disorder: What Are the Long-Term Health-Related Quality-of-Life Outcomes?. J Child Adolesc Psychopharmacol. 2006, 16: 713-724. 10.1089/cap.2006.16.713.View ArticlePubMedGoogle Scholar
- Perwien AR, Faries DE, Kratochvil CJ, Sumner CR, Kelsey DK, Allen AJ: Improvement in health-related quality of life in children with ADHD: an analysis of placebo controlled studies of atomoxetine. J Dev Behav Pediatr. 2004, 25: 445-10.1097/00004703-200408000-00006.View ArticleGoogle Scholar
- Prasad S, Harpin V, Poole L, Zeitlin H, Jamdar S, Puvanendran K, The SUNBEAM Study Group: A multicentre, randomised, open-label study of atomoxetine compared with standard current therapy in UK children and adolescents with attention-deficit/hyperactivity disorder (ADHD). Curr Med Res Opin. 2007, 23: 379-394. 10.1185/030079906X167309.View ArticlePubMedGoogle Scholar
- Wehmeier PM, Dittmann RW, Schacht A, Minarzyk A, Lehmann M, Sevecke K, Lehmkuhl G: Effectiveness of atomoxetine in children with attention-deficit/hyperactivity disorder and quality of life as perceived by patients, parents and physicians in an open-label study. J Child Adolesc Psychopharmacol. 2007, 17: 813-829. 10.1089/cap.2007.0025.View ArticlePubMedGoogle Scholar
- DuPaul GJ, Power TJ, Anastopoulos AD, Reid R: ADHD Rating Scale-IV: Checklists, Norms, and Clinical Interpretations. 1998, New York (NY): GuilfordGoogle Scholar
- Faries DE, Yalcin I, Harder D, Heiligenstein JH: Validation of the ADHD Rating Scale as a clinician administered and scored instrument. J Atten Disord. 2001, 5: 39-47. 10.1177/108705470100500204.View ArticleGoogle Scholar
- Guy W: ECDEU Assessment Manual for Psychopharmacology: Publication ADM 76-338. 1976, Washington, DC: US Department of Health, Education and Welfare, 218-222.Google Scholar
- National Institutes of Mental Health (NIMH): Psychopharmacology Bulletin. 1985, 21: 839-943.Google Scholar
- Landgraf J, Abetz L, Ware J: Child Health Questionnaire (CHQ): A Users Manual. 1996, Boston: Integrated Therapeutics GroupGoogle Scholar
- Klassen AF, Miller A, Fine S: Agreement between parent and child report of quality of life in children with attention-deficit/hyperactivity disorder. Child Care Health Dev. 2006, 32: 397-406. 10.1111/j.1365-2214.2006.00609.x.View ArticlePubMedGoogle Scholar
- Dittmann RW, Wehmeier PM, Lehmann M, Schacht A, Helsberg K, Lehmkuhl G: Behandlung von ADHS bei Jugendlichen in Deutschland: Offene Studie zur Effektivität und Verträglichkeit von Atomoxetin aus Sicht von Arzt, Eltern und Patient. Nervenarzt. 2006, S300-Suppl 3Google Scholar
- Döpfner M, Steinhausen HC, Coghill D, Dalsgaard S, Poole L, Ralston SJ, Rothenberger A, the ADORE Study Group: Cross-cultural reliability and validity of ADHD assessed by the ADHD Rating Scale in a pan-European study. Eur Child Adolesc Psychiatry. 2006, I/46-I/55. Suppl 1Google Scholar
- Connolly MA, Johnson JA: Measuring quality of life in paediatric patients. Pharmacoeconomics. 1999, 16: 605-625. 10.2165/00019053-199916060-00002.View ArticlePubMedGoogle Scholar
- Eiser C, Morse R: A review of measures of quality of life for children with chronic illness. Arch Dis Child. 2001, 84: 205-211. 10.1136/adc.84.3.205.PubMed CentralView ArticlePubMedGoogle Scholar
- Raat H, Bonsel GJ, Essink-Bot ML, Landgraf JM, Gemke RJBJ: Reliability and validity of comprehensive health status measures in children: the Child Health Questionnaire in relation to the Health Utilities Index. J Clin Epidemiol. 2002, 55: 67-76. 10.1016/S0895-4356(01)00411-5.View ArticlePubMedGoogle Scholar
- Schmidt LJ, Garratt AM, Fitzpatrick R: Child/parent-assessed population health outcome measures: a structured review. Child Care Health Dev. 2002, 28 (3): 227-237. 10.1046/j.1365-2214.2002.00266.x.View ArticlePubMedGoogle Scholar
- Hakkaart-van Roijen L, Zwirs BWC, Bouwmans C, Tan SS, Schulpen TWJ, Vlasveld L, Buitelaar JK: Societal costs and quality of life of children suffering from attention deficit hyperactivity disorder (ADHD). Eur Child and Adolesc Psychiatry. 2007, 16 (5): 316-326. 10.1007/s00787-007-0603-6.View ArticleGoogle Scholar
- Landgraf JM, Rich M, Rappaport L: Measuring quality of life in children with attention-deficit/hyperactivity disorder and their families. Arch Pediatr Adolesc Med. 2002, 156: 384-391.View ArticlePubMedGoogle Scholar
- Rentz AM, Matza LS, Secnik K, Swensen A, Revicki DA: Psychometric validation of the child health questionnaire (CHQ) in a sample of children and adolescents with attention-deficit/hyperactivity disorder. Qual Life Res. 2005, 14: 719-734. 10.1007/s11136-004-0832-9.View ArticlePubMedGoogle Scholar
- Varni JW, Burwinkle TM: The PedsQL as a patient-reported outcome in children and adolescents with attention-deficit/hyperactivity disorder: a population-based study. Health and Qual Life Outcomes. 2006, 4: 26-35. 10.1186/1477-7525-4-26.View ArticleGoogle Scholar
- Döpfner M, Lehmkuhl G: DISYPS-JK: Diagnostik-System für psychische Störungen im Kindes- und Jugendalter nach ICD-10 und DSM-IV. 2000, Bern (Switzerland): Verlag Hans HuberGoogle Scholar
- Sutton V, Summer C, Allen AJ, Feng W, Schuh K, Michelson D: Validity, reliability, and responsiveness of the DPREMB-R scale for ADHD [abstract]. Scientific Proceedings of the 50th Anniversary Meeting of the American Academy of Child and Adolescent Psychiatry (AACAP), Miami Beach, USA, 14th–19th October. 2003, 169-170.Google Scholar
- Landgraf JM, Maunsell E, Nixon-Speechley K, Bulllinger M, Campbell S, Abetz L, Ware JE: Canadian-French, German, and United Kingdom versions of the Child Health Questionnaire (CHQ-PF50): Methodology and preliminary item scaling results. Qual Life Res. 1998, 7: 433-445. 10.1023/A:1008810004694.View ArticlePubMedGoogle Scholar
- Riley AW, Forrest CB, Starfield B, Green BF, Robertson JA, Friello P: The parent report form of the CHIP-Child Edition. Reliability and Validity. Medical Care. 2004, 42: 210-220. 10.1097/01.mlr.0000114909.33878.ca.View ArticlePubMedGoogle Scholar
- Mattejat F, Remschmidt H: Die Erfassung des Therapieerfolges in der Kinder- und Jugendpsychiatrie unter naturalistischen Bedingungen. Konzeption und Realisierung des Marburger Systems zur Qualitätssicherung und Therapieevaluation (MARSYS). Z Kinder Jugendpsychiatr Psychother. 2006, 34: 445-454. 10.1024/1422-49184.108.40.2065.View ArticlePubMedGoogle Scholar
- Remschmidt H, Mattejat F: Wie erfolgreich sind stationäre kinder- und jugendpsychiatrische Behandlungen? Erste Ergebnisse aus dem Marburger Evaluationsprojekt. Z Kinder Jugendpsychiatr Psychother. 2006, 34: 455-464. 10.1024/1422-49220.127.116.115.View ArticlePubMedGoogle Scholar
- Achenbach TM, McConaughy SH, Howell CT: Child/adolescent behavioral and emotional problems: Implications of cross-informant correlations for situational specifity. Psychological Bulletin. 1987, 101: 213-232. 10.1037/0033-2909.101.2.213.View ArticlePubMedGoogle Scholar
- Plück J, Döpfner M, Berner W, Fegert J, Huss M, Lenz K, Schmeck K, Lehmkuhl U, Poustka F, Lehmkuhl G: Die Bedeutung unterschiedlicher Informationsquellen bei der Beurteilung psychischer Störungen im Jugendalter – ein Vergleich von Elternurteil und Selbsteinschätzung der Jugendlichen. Praxis der Kinderpsychologie und Kinderpsychiatrie. 1997, 46: 566-582.PubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.