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Utilization of Mental Health Care Services among Children and Adolescents with ADHD in Germany: Treatment Satisfaction and Factors Influencing Access

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Title: Utilization of Mental Health Care Services among Children and Adolescents with ADHD in Germany: Treatment Satisfaction and Factors Influencing Access
Language: English
Authors: Anne Kaman (ORCID 0000-0001-7498-6229), Martha Gilbert, Janine Devine, Sophie Möller, Robert Schlack, Ann-Kristin Beyer, Marcel Romanos, Thomas Jans, Annalena Berner, Sophia Weyrich, INTEGRATE-ADHD Study Group, Ulrike Ravens-Sieberer
Source: Journal of Attention Disorders. 2025 29(14):1307-1318.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 12
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Foreign Countries, Attention Deficit Hyperactivity Disorder, Access to Health Care, Health Services, Mental Health, Children, Adolescents, Satisfaction, Outcomes of Treatment, Program Effectiveness, Social Influences, Geographic Location, Symptoms (Individual Disorders), Severity (of Disability), Parent Influence, Psychopathology, Parent Attitudes, Barriers
Geographic Terms: Germany
DOI: 10.1177/10870547251357756
ISSN: 1087-0547
1557-1246
Abstract: Background: ADHD is one of the most common mental disorders in children and adolescents. While international research on health service utilization, barriers to care, and treatment satisfaction is growing, evidence from Germany remains limited. This study aimed to examine the utilization of mental health care services in a sample of German children and adolescents with an administrative ADHD diagnosis registered with their health insurance company. Treatment satisfaction, belief in treatment efficacy and factors influencing mental health care utilization were examined. Methods: As part of the consortium project INTEGRATE-ADHD, data from 4,948 children and adolescents were analyzed. Parents of 7- to 17-year-olds participated in an online survey answering questions about their child's ADHD health care utilization, treatment satisfaction and efficacy, and factors influencing utilization using established instruments. Sociodemographic factors, geographic characteristics, ADHD symptom severity, and parental psychopathology were also assessed. Descriptive analyses and multivariate logistic regressions were conducted. Results: Approximately 40% of the children and adolescents with an administrative ADHD diagnosis were currently receiving ADHD treatment. The majority of parents (76%) were satisfied with the treatment, and 85% considered the treatment effective. Children with more severe ADHD symptoms had a threefold higher likelihood of receiving treatment, while youths with a migration background were less likely to receive mental health care. The most common reasons for not utilizing mental health care included the treatment having already ended, a lack of available treatment options, long waiting times, a lack of motivation among children, or the inability to continue treatment due to the COVID-19 pandemic. Conclusions: To overcome the identified barriers in ADHD treatment, we recommend improving access to evidence based ADHD treatment and expanding its implementation to prevent undertreatment and the associated individual suffering and societal costs.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1488434
Database: ERIC
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  Value: <anid>AN0188923026;gs001dec.25;2025Oct30.03:45;v2.2.500</anid> <title id="AN0188923026-1">Utilization of Mental Health Care Services Among Children and Adolescents with ADHD in Germany: Treatment Satisfaction and Factors Influencing Access </title> <p>Background: ADHD is one of the most common mental disorders in children and adolescents. While international research on health service utilization, barriers to care, and treatment satisfaction is growing, evidence from Germany remains limited. This study aimed to examine the utilization of mental health care services in a sample of German children and adolescents with an administrative ADHD diagnosis registered with their health insurance company. Treatment satisfaction, belief in treatment efficacy and factors influencing mental health care utilization were examined. Methods: As part of the consortium project INTEGRATE-ADHD, data from 4,948 children and adolescents were analyzed. Parents of 7- to 17-year-olds participated in an online survey answering questions about their child's ADHD health care utilization, treatment satisfaction and efficacy, and factors influencing utilization using established instruments. Sociodemographic factors, geographic characteristics, ADHD symptom severity, and parental psychopathology were also assessed. Descriptive analyses and multivariate logistic regressions were conducted. Results: Approximately 40% of the children and adolescents with an administrative ADHD diagnosis were currently receiving ADHD treatment. The majority of parents (76%) were satisfied with the treatment, and 85% considered the treatment effective. Children with more severe ADHD symptoms had a threefold higher likelihood of receiving treatment, while youths with a migration background were less likely to receive mental health care. The most common reasons for not utilizing mental health care included the treatment having already ended, a lack of available treatment options, long waiting times, a lack of motivation among children, or the inability to continue treatment due to the COVID-19 pandemic. Conclusions: To overcome the identified barriers in ADHD treatment, we recommend improving access to evidence-based ADHD treatment and expanding its implementation to prevent undertreatment and the associated individual suffering and societal costs.</p> <p>Keywords: ADHD; youths; health care utilization; barriers; treatment satisfaction</p> <hd id="AN0188923026-2">Introduction</hd> <p>Attention-Deficit/Hyperactivity Disorder (ADHD) is characterized by symptoms of developmentally inappropriate inattentiveness, impulsivity, and/or hyperactivity. For an ADHD diagnosis, these symptoms must persist for at least 6 months and negatively impact academic, occupational, and social functioning ([<reflink idref="bib2" id="ref1">2</reflink>]; [<reflink idref="bib58" id="ref2">58</reflink>]). ADHD is one of the most common mental disorders among children and adolescents, with meta-reviews estimating a global prevalence of 5% ([<reflink idref="bib46" id="ref3">46</reflink>]). When properly diagnosed, ADHD is a highly treatable condition. However, it often remains undetected, which can lead to significant impairments in psychosocial, educational, and occupational functioning, as well as an increased risk of developing comorbid mental health disorders later in life ([<reflink idref="bib47" id="ref4">47</reflink>]). This not only results in prolonged and unnecessary individual suffering but also imposes a substantial economic burden on society ([<reflink idref="bib35" id="ref5">35</reflink>]). Therefore, early diagnosis and continuous access to appropriate care are essential to prevent long-term adverse outcomes. To improve early identification and treatment, it is crucial to understand why a considerable number of young people remain undiagnosed or do not receive adequate ADHD treatment. While international—particularly U.S., Canadian, and British—research has addressed patterns of ADHD care utilization, cross-national differences in service structures, and sociocultural perceptions of ADHD make it difficult to generalize findings. Despite a growing body of evidence, there is still a lack of data on health care services utilization, treatment satisfaction, and factors influencing utilization among children and adolescents with ADHD in Germany.</p> <p>In their recent international review of barriers to ADHD care, [<reflink idref="bib4" id="ref6">4</reflink>] highlighted that, although several evidence-based psychosocial and pharmacological ADHD treatments exist—and greater utilization of these services is associated with symptom improvement—treatments are often not used or are discontinued prematurely. They identified a variety of structural and attitudinal barriers, including treatment burden (such as cost, time, and travel), limited treatment availability, stigma, lack of parental knowledge, low child motivation, and low self-efficacy to implement change. In an earlier systematic international review, [<reflink idref="bib59" id="ref7">59</reflink>] found that beliefs and perceptions regarding treatment efficacy and acceptable behavior influence help-seeking behavior. [<reflink idref="bib55" id="ref8">55</reflink>] conducted a mixed-method analysis of audio-recorded therapy sessions in the U.S. and found that common barriers to behavior therapy for adolescent ADHD included low adolescent desire (72.5%), parental failure to monitor skill application (69.4%), adolescent forgetfulness (60.3%), and adolescent belief that change is unnecessary (56.2%). Additional systemic barriers to care for youth with ADHD have also been identified. These include a lack of ADHD education among primary care physicians, which may lead to inadequate recognition and diagnosis and, consequently, low ADHD treatment rates ([<reflink idref="bib25" id="ref9">25</reflink>]; [<reflink idref="bib27" id="ref10">27</reflink>]).</p> <p>For Germany specifically, [<reflink idref="bib18" id="ref11">18</reflink>] suggested that there is a lack of locally available behavioral therapy for ADHD patients. Additionally, therapy interruptions during the transition from adolescence to adulthood, due to a lack of continuity between pediatric and adult care in Germany, increase the risk of negative outcomes for ADHD patients ([<reflink idref="bib3" id="ref12">3</reflink>]; [<reflink idref="bib34" id="ref13">34</reflink>]). The decline in ADHD prevalence in adulthood likely results from under-recognition and limited specialized care ([<reflink idref="bib3" id="ref14">3</reflink>]; [<reflink idref="bib45" id="ref15">45</reflink>]). If ADHD remains untreated during childhood, adolescence, and adulthood, it can lead to a higher risk of poor academic performance, mental health and substance use disorders (e.g., depression), criminal behavior (e.g., arrests), and unemployment in adulthood ([<reflink idref="bib22" id="ref16">22</reflink>]). Therefore, it is crucial to better understand the scope and determinants of health service utilization among children and adolescents with ADHD to develop effective interventions that improve the care and well-being of those affected.</p> <p>With regard to sociodemographic factors associated with the utilization of mental health care services among children and adolescents with ADHD, [<reflink idref="bib9" id="ref17">9</reflink>] reported that girls had more unmet ADHD care needs than boys. In contrast, a study by [<reflink idref="bib12" id="ref18">12</reflink>] found no gender difference in ADHD care utilization. [<reflink idref="bib12" id="ref19">12</reflink>] also examined the impact of age on ADHD care utilization, finding that younger children between the ages of 9 and 13 were more likely to visit a medical professional than those aged 14 to 17. Studies on the association between socioeconomic status (SES) and mental health care utilization show mixed results: While [<reflink idref="bib53" id="ref20">53</reflink>] found that children with low SES were diagnosed with ADHD twice as often, they did not investigate health care utilization. A Canadian study by [<reflink idref="bib8" id="ref21">8</reflink>] found that SES was inversely related to medication use, whereas other studies found no association between SES and medication use ([<reflink idref="bib49" id="ref22">49</reflink>]). Additional studies found that lower SES was associated with less medication use ([<reflink idref="bib26" id="ref23">26</reflink>]) and lower engagement in and adherence to parental ADHD training ([<reflink idref="bib10" id="ref24">10</reflink>]). Studies on the association between migration background and mental health care utilization indicate that in some countries, children with a migration background have lower rates of health care utilization than non-migrant children ([<reflink idref="bib20" id="ref25">20</reflink>]; [<reflink idref="bib60" id="ref26">60</reflink>]). In the U.S., a recent review reported that medication use was particularly less frequent among Black, Hispanic, and Asian children ([<reflink idref="bib4" id="ref27">4</reflink>]). However, results are mixed; for example, [<reflink idref="bib12" id="ref28">12</reflink>] found no association between race and ADHD care utilization. For Germany, [<reflink idref="bib53" id="ref29">53</reflink>] found that children from families with a migration background were less likely to report an ADHD diagnosis, potentially due to migrant-specific underdiagnosis or differences in health care utilization between migrants and non-migrants. However, to date, there are no findings on whether migration background affects ADHD care utilization in Germany.</p> <p>Regarding geographic factors, living in rural areas has found to be associated with a 30% higher likelihood of an ADHD diagnosis in children ([<reflink idref="bib13" id="ref30">13</reflink>]) but with lower health care utilization compared to living in urban sites ([<reflink idref="bib13" id="ref31">13</reflink>]; [<reflink idref="bib29" id="ref32">29</reflink>]; [<reflink idref="bib30" id="ref33">30</reflink>]). Moreover, [<reflink idref="bib50" id="ref34">50</reflink>] found in the UK that the more ADHD symptoms a child exhibits, the more health care they receive. However, this has not yet been replicated for German youth. Finally, research indicates that parental mental health problems are associated with higher mental health service use for children with ADHD ([<reflink idref="bib12" id="ref35">12</reflink>]; [<reflink idref="bib50" id="ref36">50</reflink>]).</p> <p>In conclusion, despite growing international research, there is a substantial lack of representative data on how children and adolescents with ADHD in Germany access and experience mental health care. Specifically, little is known about how sociodemographic, geographic, health-related, and parental factors are associated with service utilization, and which barriers contribute to insufficient treatment. Addressing these gaps is essential to inform strategies that improve access, continuity, and effectiveness of ADHD care in the German health system.</p> <p>Thus, the present study aims to enhance the understanding of ADHD-specific mental health care utilization in Germany by examining sociodemographic and health-related factors, using quantitative data from the consortium project INTEGRATE-ADHD. The consortium project INTEGRATE-ADHD was established to compare and integrate administrative and epidemiological ADHD diagnostic data for children and adolescents in Germany through clinical assessment. The aims of the present study are as follows:</p> <p></p> <ulist> <item> (<reflink idref="bib1" id="ref37">1</reflink>) To describe the utilization of mental health care services among children and adolescents with ADHD, parental treatment satisfaction, parental belief in treatment efficacy, and factors influencing utilization in Germany.</item> <p></p> <item> (<reflink idref="bib2" id="ref38">2</reflink>) To investigate whether sociodemographic factors (age, gender, parental education, migration background), geographic characteristics, and health-related factors (ADHD symptom severity and parental psychopathology) are associated with mental health care utilization among children and adolescents with ADHD and parental satisfaction with treatment.</item> </ulist> <hd id="AN0188923026-3">Methods</hd> <p></p> <hd id="AN0188923026-4">Study Design</hd> <p>The consortium project INTEGRATE-ADHD was designed as a cross-sectional survey of parents of children and adolescents with an administratively documented ADHD diagnosis registered with their health insurance company (ICD-10 F90.0-9) in at least one quarter of 2020 (the so-called M1Q criterion). The survey included parents of children who (a) were insured with the third-largest nationwide German statutory health insurance company, "DAK-Gesundheit", in 2020; (b) were 0 to 17 years old at that time; and (c) had an administrative ADHD diagnosis, marked with the additional designation "G", which indicates a confirmed diagnosis in the German health insurance coding system. DAK-Gesundheit provides coverage for approximately 5.5 million people and insures a demographically broad population. The survey was conducted online, using modified questionnaires from the epidemiological German Health Interview and Examination Survey for Children and Adolescents (KiGGS study) ([<reflink idref="bib33" id="ref39">33</reflink>]; [<reflink idref="bib36" id="ref40">36</reflink>], [<reflink idref="bib37" id="ref41">37</reflink>]) and its mental health module (BELLA study) ([<reflink idref="bib32" id="ref42">32</reflink>]; [<reflink idref="bib41" id="ref43">41</reflink>]). A subsample of the participating families also underwent guideline-based clinical diagnostics in accordance with the German AWMF-S3 guideline on ADHD ([<reflink idref="bib17" id="ref44">17</reflink>]). The INTEGRATE-ADHD project is unique in that it links administrative health insurance data with primary epidemiological survey data and, for a subsample, clinical diagnostic assessments. This combination enables a comprehensive view of ADHD diagnosis, care structures, and unmet needs in a large and diverse sample ([<reflink idref="bib52" id="ref45">52</reflink>]).</p> <p>Of a total of 24,877 invited parents (gross sample), 5,919 participated in the online survey. Subsequently, 458 participants were excluded for formal and substantive reasons, such as having more than 50% missing data or inconsistencies in age and gender information between the administrative and epidemiological data sets. This resulted in a net sample of 5,461 participants. The response rate, calculated according to AAPOR's Standard Definitions, was 21.5% ([<reflink idref="bib1" id="ref46">1</reflink>]). For details on sampling and response, please see [<reflink idref="bib5" id="ref47">5</reflink>].</p> <p>In the present study, we analyzed data from the nationwide INTEGRATE-ADHD epidemiological online survey. Participants with an existing administrative ADHD diagnosis in 2020 were included in the analyses if they were between 7 and 17 years old and currently enrolled in school. The final sample under analysis included <emph>n</emph> = 4,948 parents of children and adolescents aged 7 to 17 years.</p> <hd id="AN0188923026-5">Instruments</hd> <p> <emph>Current mental health care utilization, factors influencing utilization, treatment satisfaction, and belief in treatment efficacy</emph> were examined using established items from the KiGGS and BELLA studies. Current mental health care utilization was measured as a dichotomous variable, asking whether the child or adolescent was currently receiving psychological, psychotherapeutic, or psychiatric treatment for ADHD. This question was directed only to parents who had previously indicated that their child had an ADHD diagnosis. A filter-related missing in this variable (because the parents did not report an ADHD diagnosis for their child) was categorized as no current mental health care utilization. Among children and adolescents receiving mental health care, treatment satisfaction was assessed by asking parents to rate their satisfaction with the treatment on a 4-point Likert scale ("not at all" (<reflink idref="bib1" id="ref48">1</reflink>), "a little" (<reflink idref="bib2" id="ref49">2</reflink>), "fairly/quite" (<reflink idref="bib3" id="ref50">3</reflink>), "very" (<reflink idref="bib4" id="ref51">4</reflink>)). Parental belief in treatment efficacy was measured on a 4-point Likert scale, ranging from "not at all effective" (<reflink idref="bib1" id="ref52">1</reflink>) to "very effective" (<reflink idref="bib4" id="ref53">4</reflink>).</p> <p> <emph>Factors influencing mental health care utilization</emph> were assessed using an established item from the BELLA study, asking about reasons for not seeking mental health care services. Multiple answers were allowed. This question was presented only to parents who had previously indicated that their child had an ADHD diagnosis but who did not report any use of mental health care services. The available response options are listed in Figure 1.</p> <p>Graph: Figure 1. Factors influencing mental health care utilization (subsample not currently receiving mental health care; n = 1,591).</p> <p> <emph>Sociodemographic information</emph>, including children's and adolescents' gender and age, as well as the families' SES and migration background, was collected. SES was determined using the Comparative Analysis of Social Mobility in Industrial Nations (CASMIN) classification ([<reflink idref="bib6" id="ref54">6</reflink>]), which categorizes SES based on parental education. Based on two items assessing the highest academic and vocational qualifications of both parents, parents were categorized into three groups reflecting low (primary education), medium (secondary education), and high (tertiary education) levels of education. Participants were identified as having a migration background if they had immigrated to Germany and had at least one parent born in a country other than Germany, or if both parents had immigrated to Germany or did not hold German citizenship ([<reflink idref="bib51" id="ref55">51</reflink>]).</p> <p> <emph>Geographic characteristics</emph> were defined using data from the Federal Institute for Research on Building, Urban Affairs and Spatial Development (referred to as INKAR data, "Indicators and Maps for Spatial and Urban Development"). Urban residential environments included medium-sized cities (more than 20,000 inhabitants) and large cities (over 100,000 inhabitants), while rural areas were classified as small towns (fewer than 20,000 inhabitants) and rural communities ([<reflink idref="bib38" id="ref56">38</reflink>]).</p> <p> <emph>ADHD symptom severity</emph> was assessed using the parent-reported German ADHD Rating Scale (FBB-ADHS) ([<reflink idref="bib19" id="ref57">19</reflink>]). The scale consists of 20 items that correspond to the ADHD symptom criteria of the ICD-10 and DSM-V. Responses reflect the severity of ADHD symptoms and range from "not true" (0) to "especially true" (<reflink idref="bib3" id="ref58">3</reflink>). [<reflink idref="bib21" id="ref59">21</reflink>] found that the FBB-ADHS demonstrated good to excellent internal consistency (Cronbach's α =.73–.90) as well as factorial validity (RMSEA = 0.06).</p> <p> <emph>Parental psychopathology</emph> was measured using the short version of the multidimensional Symptom-Checklist 90-R (SCL-90-R) ([<reflink idref="bib14" id="ref60">14</reflink>], [<reflink idref="bib15" id="ref61">15</reflink>]; [<reflink idref="bib16" id="ref62">16</reflink>]; [<reflink idref="bib23" id="ref63">23</reflink>], [<reflink idref="bib24" id="ref64">24</reflink>])—the SCL-K-9 ([<reflink idref="bib31" id="ref65">31</reflink>]). Items measuring parental psychopathological symptoms were measured on a five-point Likert scale, ranging from "not at all" (0) to "very strongly" (<reflink idref="bib4" id="ref66">4</reflink>). The internal consistency of the short form has been reported with a Cronbach's alpha of.87, indicating good reliability ([<reflink idref="bib44" id="ref67">44</reflink>]).</p> <hd id="AN0188923026-6">Statistical Analyses</hd> <p>To investigate current mental health care utilization among children and adolescents with ADHD, parental treatment satisfaction, parental belief in treatment efficacy as well as factors influencing mental health care utilization, descriptive analyses including the calculation of absolute and relative frequencies were conducted. To examine whether sociodemographic factors, geographic characteristics, and health-related factors are associated with (<reflink idref="bib1" id="ref68">1</reflink>) current mental health care utilization and (<reflink idref="bib2" id="ref69">2</reflink>) parental satisfaction with treatment, two multivariate logistic regression analyses were performed. In the second regression model, the 4-point Likert scale treatment satisfaction variable was dichotomized, with response options of 1 or 2 indicating no treatment satisfaction and 3 or 4 indicating treatment satisfaction. For the logistic regression models, odds ratios (OR) and confidence intervals (CI) were calculated. Significant effects were considered at a significance level of <emph>p</emph> <.05. All analyses were conducted using SPSS Version 29.</p> <hd id="AN0188923026-7">Results</hd> <p></p> <hd id="AN0188923026-8">Descriptive Statistics</hd> <p>An analysis of the sociodemographic characteristics of the sample revealed that the average age of the children and adolescents was 12 years. Among them, 75% were boys. The majority of the parents (60%) had a medium level of education and did not have a migration background (91%). Additionally, 63% of the children and adolescents resided in an urban area. Further details on the sociodemographic and psychosocial characteristics of the analyzed sample are presented in Table 1.</p> <p>Table 1. Description of the Analyzed Sample of Children and Adolescents (N = 4,984).</p> <p>Graph</p> <p> <ephtml> <table><colgroup><col align="left" /><col align="char" char="." /><col align="char" char="." /></colgroup><thead><tr><th /><th align="center" colspan="2">INTEGRATE-ADHD sample</th></tr><tr><th align="left">Variable</th><th align="center"><italic>n</italic> (%)</th><th align="center"><italic>M</italic> (<italic>SD</italic>)</th></tr></thead><tbody><tr><td>Age (7–17 years)</td><td>4,948</td><td>12.36 (2.71)</td></tr><tr><td colspan="3">Gender</td></tr><tr><td> Male</td><td>3,707 (74.9)</td><td /></tr><tr><td> Female</td><td>1,241 (25.1)</td><td /></tr><tr><td colspan="3">Parental education</td></tr><tr><td> Low</td><td>517 (10.4)</td><td /></tr><tr><td> Medium</td><td>2,968 (60.0)</td><td /></tr><tr><td> High</td><td>1,238 (25.0)</td><td /></tr><tr><td> No information</td><td>225 (4.5)</td><td /></tr><tr><td colspan="3">Migration background</td></tr><tr><td> No</td><td>4,490 (90.7)</td><td /></tr><tr><td> Yes</td><td>302 (6.1)</td><td /></tr><tr><td> No information</td><td>156 (3.2)</td><td /></tr><tr><td colspan="3">Geographic region</td></tr><tr><td> Urban</td><td>3,122 (63.1)</td><td /></tr><tr><td> Rural</td><td>1,756 (35.5)</td><td /></tr><tr><td> No information</td><td>70 (1.4)</td><td /></tr><tr><td colspan="3">Mental health care utilization</td></tr><tr><td> Yes</td><td>1,994 (40.3)</td><td /></tr><tr><td> No</td><td>2,954 (59.7)</td><td /></tr><tr><td colspan="3">Treatment satisfaction<xref ref-type="table-fn" rid="tfn2">a</xref></td></tr><tr><td> Not at all satisfied</td><td>82 (4.1)</td><td /></tr><tr><td> A little satisfied</td><td>395 (19.8)</td><td /></tr><tr><td> Quite satisfied</td><td>916 (45.9)</td><td /></tr><tr><td> Very satisfied</td><td>600 (30.1)</td><td /></tr><tr><td colspan="3">Parental belief in treatment efficacy<xref ref-type="table-fn" rid="tfn2">a</xref></td></tr><tr><td> Not at all effective</td><td>46 (2.3)</td><td /></tr><tr><td> Barely effective</td><td>225 (11.3)</td><td /></tr><tr><td> Somewhat effective</td><td>988 (49.6)</td><td /></tr><tr><td> Very effective</td><td>732 (36.8)</td><td /></tr><tr><td>ADHD symptom severity</td><td>4,870</td><td>1.29 (0.68)</td></tr><tr><td> No information</td><td>78 (1.6)</td><td /></tr><tr><td>Parental psychopathology</td><td>4,825</td><td>8.59 (6.81)</td></tr><tr><td> No information</td><td>123 (2.5)</td><td /></tr></tbody></table> </ephtml> </p> <p>1 <emph>Note. M</emph> = mean; <emph>SD</emph> = standard deviation.</p> <p>2 This question was only presented to those parents who had previously indicated that their child had an ADHD diagnosis and was utilizing mental health care (<emph>n</emph> = 1,994).</p> <hd id="AN0188923026-9">Current Mental Health Care Utilization</hd> <p>Approximately 40% of the children and adolescents with an administrative ADHD diagnosis were receiving psychological, psychotherapeutic, or psychiatric treatment for ADHD (see Table 1).</p> <hd id="AN0188923026-10">Parental Treatment Satisfaction and Belief in Treatment Efficacy</hd> <p>Among the children and adolescents currently utilizing mental health care, 76% of parents reported being somewhat or very satisfied with their child's treatment (see Table 1). Further, nearly half (49.6%) of them considered the treatment to be somewhat effective, while 36.8% rated it as very effective, 11.3% as barely effective, and 2.3% as not effective at all.</p> <hd id="AN0188923026-11">Factors Influencing Mental Health Care Utilization</hd> <p>The reasons for not currently utilizing mental health services despite the child having an ADHD diagnosis are illustrated in Figure 1. The most common reason was that the mental health treatment had already ended (37.7%), followed by the child being in treatment with a pediatrician or general practitioner (23.5%). Other frequent barriers included that the child was unwilling to participate in treatment (15.2%) and the impact of the COVID-19 pandemic (11.6%). Additionally, 7.8% of families reported that no health care provider was available in their area, while another 7.8% cited excessively long waiting times for appointments.</p> <hd id="AN0188923026-12">Associations of Sociodemographic Factors, Geographic Characteristics, and Health-Related Fact...</hd> <p>Logistic regression analyses revealed that families with a migration background had a 0.64 lower likelihood of utilizing mental health care services. Children with more severe ADHD symptoms were nearly three times more likely to use mental health services (OR = 2.82) (see Table 2). In terms of treatment satisfaction, logistic regression analyses further revealed that parents of children with more severe ADHD symptoms were less likely to be satisfied with the mental health care their children received (OR = 0.57). Additionally, parents with higher levels of psychopathology were less likely to be satisfied with their child's treatment; however, the OR was nearly 1 (0.96), indicating that this effect can be considered negligible (see Table 3).</p> <p>Table 2. Results of Multivariate Logistic Regression Analyses on Factors Predicting Current Mental Health Care Utilization Among Children and Adolescents With ADHD (n = 4,582).</p> <p>Graph</p> <p> <ephtml> <table><colgroup><col align="left" /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /></colgroup><thead><tr><th align="left">Variable</th><th align="center">Estimate</th><th align="center"><italic>SE</italic></th><th align="center"><italic>OR</italic> [<italic>CI</italic>]</th><th align="center"><italic>p</italic></th></tr></thead><tbody><tr><td>Constant</td><td>−1.75</td><td>0.21</td><td>0.17</td><td><.001</td></tr><tr><td colspan="5">Predictor variables</td></tr><tr><td> Gender (reference: male)</td><td>−0.05</td><td>0.07</td><td>0.95 [0.82, 1.10]</td><td>.507</td></tr><tr><td> Age</td><td>0.00</td><td>0.01</td><td>1.00 [0.98, 1.03]</td><td>.873</td></tr><tr><td colspan="5"> Parental education (reference: low)</td></tr><tr><td> Medium</td><td>−0.01</td><td>0.11</td><td>0.99 [0.80, 1.21]</td><td>.904</td></tr><tr><td> High</td><td>0.10</td><td><0.12</td><td>1.11 [0.89, 1.40]</td><td>.350</td></tr><tr><td> Migration background</td><td>−0.44</td><td>0.14</td><td>0.64 [0.49, 0.84]</td><td>.001</td></tr><tr><td> Geographic region (reference: rural)</td><td>0.70</td><td>0.07</td><td>1.07 [0.94, 1.22]</td><td>.291</td></tr><tr><td> ADHD symptom severity</td><td>1.04</td><td>0.05</td><td>2.82 [2.54, 3.13]</td><td><.001</td></tr><tr><td> Parental psychopathology</td><td>0.00</td><td>0.01</td><td>1.00 [0.99, 1.01]</td><td>.938</td></tr><tr><td>Model fit</td><td colspan="4"><italic>χ</italic>2<italic>(8) = 40.72, p <.001</italic><italic>Nagelkerke's R</italic>2<italic> =.14</italic></td></tr></tbody></table> </ephtml> </p> <p>3 <emph>Note.</emph> SE = standard error; OR = odds ratio; CI = confidence interval.</p> <p>Table 3. Results of Multivariate Logistic Regression Analyses on Factors Predicting Treatment Satisfaction (Subsample Currently Receiving Mental Health Care Services; n = 1,907).</p> <p>Graph</p> <p> <ephtml> <table><colgroup><col align="left" /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /><col align="char" char="." /></colgroup><thead><tr><th align="left">Variable</th><th align="center">Estimate</th><th align="center"><italic>SE</italic></th><th align="center"><italic>OR</italic> [<italic>CI</italic>]</th><th align="center"><italic>p</italic></th></tr></thead><tbody><tr><td>Constant</td><td>2.22</td><td>0.39</td><td>9.21</td><td><.001</td></tr><tr><td colspan="5">Predictor variables</td></tr><tr><td> Gender (reference: male)</td><td>0.01</td><td>0.13</td><td>1.01 [0.78, 1.31]</td><td>.920</td></tr><tr><td> Age</td><td>0.01</td><td>0.02</td><td>1.01 [0.97, 1.06]</td><td>.559</td></tr><tr><td colspan="5"> Parental education (reference: low)</td></tr><tr><td> Medium</td><td>0.16</td><td>0.18</td><td>1.17 [0.83, 1.66]</td><td>.369</td></tr><tr><td> High</td><td>−0.20</td><td>0.20</td><td>0.82 [0.56, 1.20]</td><td>.306</td></tr><tr><td> Migration background</td><td>−0.06</td><td>0.25</td><td>0.95 [0.56, 1.53]</td><td>.818</td></tr><tr><td> Geographic region (reference: rural)</td><td>0.30</td><td>0.12</td><td>1.03 [0.82, 1.30]</td><td>.782</td></tr><tr><td> ADHD symptom severity</td><td>−0.56</td><td>0.10</td><td>0.57 [0.47, 0.69]</td><td><.001</td></tr><tr><td> Parental psychopathology</td><td>−0.04</td><td>0.01</td><td>0.96 [0.95, 0.98]</td><td><.001</td></tr><tr><td>Model fit</td><td colspan="4"><italic>χ</italic>2<italic>(8) = 9.43, p =.308</italic><italic>Nagelkerke's R</italic>2<italic> =.07</italic></td></tr></tbody></table> </ephtml> </p> <p>4 <emph>Note.</emph> SE = standard error; OR = odds ratio; CI = confidence interval.</p> <hd id="AN0188923026-13">Discussion</hd> <p>The aim of the present study was to examine the utilization of mental health care services in a sample of children and adolescents with an administrative ADHD diagnosis, using data from the consortium project INTEGRATE-ADHD. In addition to treatment satisfaction and beliefs about treatment efficacy, the study also investigated factors associated with mental health care utilization and treatment satisfaction.</p> <p>The study found that mental health care utilization among children and adolescents with ADHD was strongly associated with the severity of ADHD symptoms. Children with more severe symptoms were three times more likely to receive psychological, psychotherapeutic, or psychiatric treatment. This finding is intuitively understandable, as more severe ADHD symptoms are often linked to disruptive behaviors in the family or at school (e.g., attention shifts, impulsivity, and hyperactivity), which can lead to increased stress and burden for parents ([<reflink idref="bib42" id="ref70">42</reflink>]; [<reflink idref="bib43" id="ref71">43</reflink>]). Consequently, parents may seek additional support from mental health services. Additionally, more severe ADHD symptoms may be more readily recognized by pediatricians compared to less obvious or covert symptoms, potentially resulting in more referrals to mental health specialists. Furthermore, our findings indicated that families with a migration background were less likely to utilize mental health care. This may be due to various factors, such as language barriers, unfamiliarity with the German health care system, or discrimination against migrant families within that system. Although language proficiency was not assessed directly, limited German skills may have contributed to lower treatment engagement among some families. Future research should examine this factor more systematically, given the language demands of navigating mental health services. Our findings align with previous literature highlighting racial disparities in mental health service use and access to care among families with a migration background ([<reflink idref="bib11" id="ref72">11</reflink>]; [<reflink idref="bib39" id="ref73">39</reflink>]; [<reflink idref="bib40" id="ref74">40</reflink>]; [<reflink idref="bib54" id="ref75">54</reflink>]).</p> <p>Among families utilizing mental health care services, 76% of parents reported being satisfied with their child's treatment. However, parents of children with more severe ADHD symptoms were less likely to be satisfied with the psychological treatment their child received. This may be related to parents having excessively high expectations for a rapid decrease in symptoms during treatment or to the possibility that the treatment was not yet effective, resulting in their child continuing to display severe symptoms. In this context, a study by [<reflink idref="bib28" id="ref76">28</reflink>] found that ADHD symptoms are negatively correlated with treatment satisfaction, while symptom reduction is positively correlated with parental satisfaction with their child's ADHD treatment.</p> <p>Over 85% of parents believe that the ADHD treatment their child received was somewhat or very effective, highlighting the perceived benefits of the treatment among most parents. Generally, evidence indicates that treatment for ADHD—especially the combination of behavioral therapy and medication—is effective in improving various outcomes for children with ADHD ([<reflink idref="bib7" id="ref77">7</reflink>]). Beneficial treatment not only alleviates the suffering of children but also reduces stress in affected families, as the mental health of children and parents is closely intertwined ([<reflink idref="bib57" id="ref78">57</reflink>]).</p> <p>In terms of factors influencing mental health care utilization, most families whose children were not currently receiving mental health care despite having an ADHD diagnosis indicated that treatment had already ended. This may be attributed to the timing of the consortium project INTEGRATE-ADHD, as there was a lag between the administrative data (indicating that the children had an administratively documented ADHD diagnosis in 2020) and the online survey data (collected between October 2021 and August 2022). Therefore, it can be assumed that some children had already completed treatment before the study began. Further, this raises the question of whether the treatment they received was sufficient or whether the appropriate resources for a necessary longer treatment were not available in the care system. Additionally, more severe ADHD symptoms may be associated with longer treatment durations, leading to higher rates of current (vs. completed) service utilization. Moreover, our findings show that about a quarter of children and adolescents were treated by a pediatrician or family doctor, rather than by ADHD specialists such as child and adolescent psychotherapists. Given that pediatricians in Germany are authorized to prescribe ADHD medication, it is likely that they are playing a key role in ADHD care—especially in pharmacological treatment. These results underline the importance of considering pediatric and general practitioners as an integral part of the ADHD care pathway in Germany. Other frequently reported barriers to seeking mental health care included a lack of providers in their area and excessive waiting times for appointments. This finding underscores the urgent need to expand mental health care availability in communities, such as by funding more mental health therapists specializing in ADHD for children. Additionally, 15% of families did not utilize mental health services due to low motivation among the youth, aligning with previous findings ([<reflink idref="bib55" id="ref79">55</reflink>]). [<reflink idref="bib56" id="ref80">56</reflink>] examined how patient and parent motivation and engagement in ADHD treatment, along with other barriers, could be addressed to improve the implementation and delivery of ADHD treatment. They concluded that training and educating professionals, increasing psychoeducation, digitizing treatment materials, applying motivational interviewing, and fostering relationships with children and parents could enhance motivation and implementation of ADHD treatment. Further recommendations for increasing engagement with ADHD care include integrating behavioral services into general medical settings and utilizing telehealth, which has been shown to reduce attitudinal and motivational barriers ([<reflink idref="bib4" id="ref81">4</reflink>]). These measures appear worth applying to the German health care system. Moreover, our findings highlight that, especially during times of crisis (such as the COVID-19 pandemic), it is crucial to maintain mental health care for children who may suffer the most from crisis intervention measures. A recent meta-analysis found that children with ADHD (and their families) particularly suffered from pandemic restrictions and experienced symptom deterioration ([<reflink idref="bib48" id="ref82">48</reflink>]). This could be, among other factors, due to the restrictive pandemic measures (such as the closure of playgrounds) hindering children with ADHD from spending time outdoors, which may have helped alleviate stress and attention deficits.</p> <p>INTEGRATE-ADHD is the first study in Germany to consolidate administrative, epidemiological, and clinical data. Its strengths include the large sample size of children and adolescents with an administrative ADHD diagnosis in Germany. Another strength is the use of established questionnaires and items to assess mental health care utilization, factors influencing utilization, ADHD symptom severity, and parental psychopathology. Limitations of the study include that INTEGRATE-ADHD is an observational study that only identifies associations and no cause-effect relationships. The variables included in our regression models explained 7% to 14% of the variance in current mental health care utilization and treatment satisfaction. This suggests that these outcomes may be associated with other important factors that were not considered in our models. Additionally, the present analyses focused on current mental health care utilization (including psychological, psychotherapeutic, and psychiatric treatment), so the results may not be comparable to the utilization of other health care services. Further, we did not differentiate between specific types of treatment (e.g., medication vs. psychotherapy), which limits conclusions about how particular modalities relate to treatment satisfaction or barriers to care. Moreover, the variables of interest were primarily assessed using single-item measures rather than validated multi-item scales, which may limit the reliability and depth of the assessments. In addition, the response rate of 21.5% may limit the generalizability of the findings due to potential selection bias. Although migration background was assessed and included in our analyses, no specific data on race, ethnicity, or primary language were collected. Future studies should consider including more detailed demographic variables to better examine potential disparities in ADHD care. Further, the sample was drawn exclusively from individuals insured with DAK-Gesundheit, a large statutory health insurance provider in Germany. Although DAK-Gesundheit covers a diverse and nationwide population, the findings may not be generalizable to individuals insured with other statutory or private health insurers, who may differ in terms of socioeconomic or regional characteristics. Lastly, the variable geographic region only categorizes areas into two groups: those with more or fewer than 20,000 inhabitants. This division does not allow for a nuanced understanding of the relationship between population size and mental health care utilization. A continuous metric variable could be beneficial in future studies to assess this relationship in a more detailed manner.</p> <p>To conclude, our study provides important insights into specific treatment gaps and needs among children with ADHD and their families in Germany. Our findings indicate that symptom severity is a key driver of current mental health care utilization, yet also a risk factor for reduced parental treatment satisfaction. Additionally, families with a migration background showed lower service utilization, suggesting potential structural or cultural barriers to care. These results emphasize the need to better support families facing multiple challenges by expanding culturally sensitive services and systematically addressing barriers to access. Our recommendation to enhance interdisciplinary care structures is supported by [<reflink idref="bib18" id="ref83">18</reflink>] and aligns with international evidence on the benefits of integrated service models for ADHD. To improve treatment effectiveness and satisfaction, care capacities must be increased, including more training for providers in culturally adapted and engagement-focused interventions. Better remuneration, especially for time-intensive diagnostic and therapeutic services, remains crucial to ensure sustainable improvements in ADHD care. Finally, ensuring access to evidence-based ADHD treatment is vital not only for immediate symptom management but also for preventing long-term risks such as psychiatric comorbidities, educational failure, and social exclusion. Our study thus highlights concrete starting points for improving ADHD care structures in Germany and contributes important epidemiological data to inform future service development and health policy.</p> <p>The authors would like to thank all the children, adolescents, and their parents who participated in this study for their time and involvement.</p> <ref id="AN0188923026-14"> <title> Footnotes </title> <blist> <bibl id="bib1" idref="ref37" type="bt">1</bibl> <bibtext> The data that support the findings of this study are available from the corresponding author upon reasonable request.</bibtext> </blist> <blist> <bibl id="bib2" idref="ref1" type="bt">2</bibl> <bibtext> The study was reviewed and ethically approved by the Ethics Committee of the University of Würzburg (24 March 2021; reference number 249/20). The study subjects were informed about the objectives and content of the study as well as about data protection, and informed consent was obtained from the parents. Children and adolescents aged 14 and older, also had to give their informed consent for their parents to provide information about them in the online survey.</bibtext> </blist> <blist> <bibl id="bib3" idref="ref12" type="bt">3</bibl> <bibtext> The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Marcel Romanos is a board member of the national self-help organisation ADHS Deutschland e.V. All other authors declare that there is no conflict of interest.</bibtext> </blist> <blist> <bibl id="bib4" idref="ref6" type="bt">4</bibl> <bibtext> The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The project "INTEGRATE-ADHD" was funded by the German Innovation Fund of the German Federal Joint Committee (Gemeinsamer Bundesausschuss) under the funding code 01VSF19014.</bibtext> </blist> <blist> <bibl id="bib5" idref="ref47" type="bt">5</bibl> <bibtext> Anne Kaman</bibtext> </blist> <blist> <bibtext>Graph https://orcid.org/0000-0001-7498-6229</bibtext> </blist> <blist> <bibl id="bib6" idref="ref54" type="bt">6</bibl> <bibtext> INTEGRATE-ADHD Study Group: Members of the INTEGRATE-ADHD Study Group are Dr. Robert Schlack, Dr. Ann-Kristin Beyer, Lilian Beck, Stefan Pfeifer, Laura Neuperdt, Dr. Ronny Kuhnert, Heike Hölling, Prof. Dr. Marcel Romanos, Prof. Dr. Thomas Jans, Dr. Annalena Berner, Dr. Vanessa Scholz, Sophia Weyrich, Leila Hetzke, Diana Mager, Chantal Wallau, Sanna Ulsamer, Dr. Theresa Emser, Prof. Dr. Ulrike Ravens-Sieberer, Dr. Anne Kaman, Martha Gilbert, Dr. Franziska Reiß, Dr. Maren Böcker, Dr. Julian Witte, Dr. Katharina Weinert, Lena Hasemann, Jana Diekmannshemke, Prof. Dr. Peter Heuschmann, Anna Grau, Anna Horn, Dr. Cornelia Fiessler, Jonas Widmann, Dr. Cordula Riederer</bibtext> </blist> </ref> <ref id="AN0188923026-15"> <title> References </title> <blist> <bibtext> The American Association for Public Opinion Research. 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Psychiatric Services, 73(12), 1338–1345. https://doi.org/10.1176/appi.ps.202100578</bibtext> </blist> </ref> <aug> <p>By Anne Kaman; Martha Gilbert; Janine Devine; Sophie Möller; Robert Schlack; Ann-Kristin Beyer; Marcel Romanos; Thomas Jans; Annalena Berner; Sophia Weyrich and Ulrike Ravens-Sieberer</p> <p>Reported by Author; Author; Author; Author; Author; Author; Author; Author; Author; Author; Author</p> <p></p> <p>Anne Kaman, PhD, is a senior researcher at the University Medical Center Hamburg-Eppendorf in Germany.</p> <p>Martha Gilbert is a research associate at the University Medical Center Hamburg-Eppendorf in Germany.</p> <p>Janine Devine, PhD, is a senior researcher at the University Medical Center Hamburg-Eppendorf in Germany.</p> <p>Sophie Möller is a research assistant at the University Medical Center Hamburg-Eppendorf in Germany.</p> <p>Robert Schlack, PhD, is a senior researcher at the Robert Koch Institute in Germany.</p> <p>Ann-Kristin Beyer, PhD, is a post-doctoral researcher at the Robert Koch Institute in Germany.</p> <p>Marcel Romanos is a specialist in child and adolescent psychiatry and psychotherapy and a professor at the University Hospital Würzburg in Germany.</p> <p>Thomas Jans is a leading psychologist and a professor at the University Hospital Würzburg in Germany.</p> <p>Annalena Berner is a specialist in child and adolescent psychiatry and psychotherapy at the University Hospital Würzburg in Germany.</p> <p>Sophia Weyrich is a research associate at the University Hospital Würzburg in Germany.</p> <p>Ulrike Ravens-Sieberer is a professor at University Medical Center Hamburg-Eppendorf in Germany.</p> </aug> <nolink nlid="nl1" bibid="bib58" firstref="ref2"></nolink> <nolink nlid="nl2" bibid="bib46" firstref="ref3"></nolink> <nolink nlid="nl3" bibid="bib47" firstref="ref4"></nolink> <nolink nlid="nl4" bibid="bib35" firstref="ref5"></nolink> <nolink nlid="nl5" bibid="bib59" firstref="ref7"></nolink> <nolink nlid="nl6" bibid="bib55" firstref="ref8"></nolink> <nolink nlid="nl7" bibid="bib25" firstref="ref9"></nolink> <nolink nlid="nl8" bibid="bib27" firstref="ref10"></nolink> <nolink nlid="nl9" bibid="bib18" firstref="ref11"></nolink> <nolink nlid="nl10" bibid="bib34" firstref="ref13"></nolink> <nolink nlid="nl11" bibid="bib45" firstref="ref15"></nolink> <nolink nlid="nl12" bibid="bib22" firstref="ref16"></nolink> <nolink nlid="nl13" bibid="bib12" firstref="ref18"></nolink> <nolink nlid="nl14" bibid="bib53" firstref="ref20"></nolink> <nolink nlid="nl15" bibid="bib49" firstref="ref22"></nolink> <nolink nlid="nl16" bibid="bib26" firstref="ref23"></nolink> <nolink nlid="nl17" bibid="bib10" firstref="ref24"></nolink> <nolink nlid="nl18" bibid="bib20" firstref="ref25"></nolink> <nolink nlid="nl19" bibid="bib60" firstref="ref26"></nolink> <nolink nlid="nl20" bibid="bib13" firstref="ref30"></nolink> <nolink nlid="nl21" bibid="bib29" firstref="ref32"></nolink> <nolink nlid="nl22" bibid="bib30" firstref="ref33"></nolink> <nolink nlid="nl23" bibid="bib50" firstref="ref34"></nolink> <nolink nlid="nl24" bibid="bib33" firstref="ref39"></nolink> <nolink nlid="nl25" bibid="bib36" firstref="ref40"></nolink> <nolink nlid="nl26" bibid="bib37" firstref="ref41"></nolink> <nolink nlid="nl27" bibid="bib32" firstref="ref42"></nolink> <nolink nlid="nl28" bibid="bib41" firstref="ref43"></nolink> <nolink nlid="nl29" bibid="bib17" firstref="ref44"></nolink> <nolink nlid="nl30" bibid="bib52" firstref="ref45"></nolink> <nolink nlid="nl31" bibid="bib51" firstref="ref55"></nolink> <nolink nlid="nl32" bibid="bib38" firstref="ref56"></nolink> <nolink nlid="nl33" bibid="bib19" firstref="ref57"></nolink> <nolink nlid="nl34" bibid="bib21" firstref="ref59"></nolink> <nolink nlid="nl35" bibid="bib14" firstref="ref60"></nolink> <nolink nlid="nl36" bibid="bib15" firstref="ref61"></nolink> <nolink nlid="nl37" bibid="bib16" firstref="ref62"></nolink> <nolink nlid="nl38" bibid="bib23" firstref="ref63"></nolink> <nolink nlid="nl39" bibid="bib24" firstref="ref64"></nolink> <nolink nlid="nl40" bibid="bib31" firstref="ref65"></nolink> <nolink nlid="nl41" bibid="bib44" firstref="ref67"></nolink> <nolink nlid="nl42" bibid="bib42" firstref="ref70"></nolink> <nolink nlid="nl43" bibid="bib43" firstref="ref71"></nolink> <nolink nlid="nl44" bibid="bib11" firstref="ref72"></nolink> <nolink nlid="nl45" bibid="bib39" firstref="ref73"></nolink> <nolink nlid="nl46" bibid="bib40" firstref="ref74"></nolink> <nolink nlid="nl47" bibid="bib54" firstref="ref75"></nolink> <nolink nlid="nl48" bibid="bib28" firstref="ref76"></nolink> <nolink nlid="nl49" bibid="bib57" firstref="ref78"></nolink> <nolink nlid="nl50" bibid="bib56" firstref="ref80"></nolink> <nolink nlid="nl51" bibid="bib48" firstref="ref82"></nolink>
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  Label: Title
  Group: Ti
  Data: Utilization of Mental Health Care Services among Children and Adolescents with ADHD in Germany: Treatment Satisfaction and Factors Influencing Access
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Anne+Kaman%22">Anne Kaman</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-7498-6229">0000-0001-7498-6229</externalLink>)<br /><searchLink fieldCode="AR" term="%22Martha+Gilbert%22">Martha Gilbert</searchLink><br /><searchLink fieldCode="AR" term="%22Janine+Devine%22">Janine Devine</searchLink><br /><searchLink fieldCode="AR" term="%22Sophie+Möller%22">Sophie Möller</searchLink><br /><searchLink fieldCode="AR" term="%22Robert+Schlack%22">Robert Schlack</searchLink><br /><searchLink fieldCode="AR" term="%22Ann-Kristin+Beyer%22">Ann-Kristin Beyer</searchLink><br /><searchLink fieldCode="AR" term="%22Marcel+Romanos%22">Marcel Romanos</searchLink><br /><searchLink fieldCode="AR" term="%22Thomas+Jans%22">Thomas Jans</searchLink><br /><searchLink fieldCode="AR" term="%22Annalena+Berner%22">Annalena Berner</searchLink><br /><searchLink fieldCode="AR" term="%22Sophia+Weyrich%22">Sophia Weyrich</searchLink><br /><searchLink fieldCode="AR" term="%22INTEGRATE-ADHD+Study+Group%22">INTEGRATE-ADHD Study Group</searchLink><br /><searchLink fieldCode="AR" term="%22Ulrike+Ravens-Sieberer%22">Ulrike Ravens-Sieberer</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+Attention+Disorders%22"><i>Journal of Attention Disorders</i></searchLink>. 2025 29(14):1307-1318.
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  Label: Availability
  Group: Avail
  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 12
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Attention+Deficit+Hyperactivity+Disorder%22">Attention Deficit Hyperactivity Disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Access+to+Health+Care%22">Access to Health Care</searchLink><br /><searchLink fieldCode="DE" term="%22Health+Services%22">Health Services</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+Health%22">Mental Health</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescents%22">Adolescents</searchLink><br /><searchLink fieldCode="DE" term="%22Satisfaction%22">Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Outcomes+of+Treatment%22">Outcomes of Treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Effectiveness%22">Program Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Influences%22">Social Influences</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+Location%22">Geographic Location</searchLink><br /><searchLink fieldCode="DE" term="%22Symptoms+%28Individual+Disorders%29%22">Symptoms (Individual Disorders)</searchLink><br /><searchLink fieldCode="DE" term="%22Severity+%28of+Disability%29%22">Severity (of Disability)</searchLink><br /><searchLink fieldCode="DE" term="%22Parent+Influence%22">Parent Influence</searchLink><br /><searchLink fieldCode="DE" term="%22Psychopathology%22">Psychopathology</searchLink><br /><searchLink fieldCode="DE" term="%22Parent+Attitudes%22">Parent Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Germany%22">Germany</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1177/10870547251357756
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1087-0547<br />1557-1246
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: ADHD is one of the most common mental disorders in children and adolescents. While international research on health service utilization, barriers to care, and treatment satisfaction is growing, evidence from Germany remains limited. This study aimed to examine the utilization of mental health care services in a sample of German children and adolescents with an administrative ADHD diagnosis registered with their health insurance company. Treatment satisfaction, belief in treatment efficacy and factors influencing mental health care utilization were examined. Methods: As part of the consortium project INTEGRATE-ADHD, data from 4,948 children and adolescents were analyzed. Parents of 7- to 17-year-olds participated in an online survey answering questions about their child's ADHD health care utilization, treatment satisfaction and efficacy, and factors influencing utilization using established instruments. Sociodemographic factors, geographic characteristics, ADHD symptom severity, and parental psychopathology were also assessed. Descriptive analyses and multivariate logistic regressions were conducted. Results: Approximately 40% of the children and adolescents with an administrative ADHD diagnosis were currently receiving ADHD treatment. The majority of parents (76%) were satisfied with the treatment, and 85% considered the treatment effective. Children with more severe ADHD symptoms had a threefold higher likelihood of receiving treatment, while youths with a migration background were less likely to receive mental health care. The most common reasons for not utilizing mental health care included the treatment having already ended, a lack of available treatment options, long waiting times, a lack of motivation among children, or the inability to continue treatment due to the COVID-19 pandemic. Conclusions: To overcome the identified barriers in ADHD treatment, we recommend improving access to evidence based ADHD treatment and expanding its implementation to prevent undertreatment and the associated individual suffering and societal costs.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2025
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1488434
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1488434
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/10870547251357756
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1307
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Attention Deficit Hyperactivity Disorder
        Type: general
      – SubjectFull: Access to Health Care
        Type: general
      – SubjectFull: Health Services
        Type: general
      – SubjectFull: Mental Health
        Type: general
      – SubjectFull: Children
        Type: general
      – SubjectFull: Adolescents
        Type: general
      – SubjectFull: Satisfaction
        Type: general
      – SubjectFull: Outcomes of Treatment
        Type: general
      – SubjectFull: Program Effectiveness
        Type: general
      – SubjectFull: Social Influences
        Type: general
      – SubjectFull: Geographic Location
        Type: general
      – SubjectFull: Symptoms (Individual Disorders)
        Type: general
      – SubjectFull: Severity (of Disability)
        Type: general
      – SubjectFull: Parent Influence
        Type: general
      – SubjectFull: Psychopathology
        Type: general
      – SubjectFull: Parent Attitudes
        Type: general
      – SubjectFull: Barriers
        Type: general
      – SubjectFull: Germany
        Type: general
    Titles:
      – TitleFull: Utilization of Mental Health Care Services among Children and Adolescents with ADHD in Germany: Treatment Satisfaction and Factors Influencing Access
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Anne Kaman
      – PersonEntity:
          Name:
            NameFull: Martha Gilbert
      – PersonEntity:
          Name:
            NameFull: Janine Devine
      – PersonEntity:
          Name:
            NameFull: Sophie Möller
      – PersonEntity:
          Name:
            NameFull: Robert Schlack
      – PersonEntity:
          Name:
            NameFull: Ann-Kristin Beyer
      – PersonEntity:
          Name:
            NameFull: Marcel Romanos
      – PersonEntity:
          Name:
            NameFull: Thomas Jans
      – PersonEntity:
          Name:
            NameFull: Annalena Berner
      – PersonEntity:
          Name:
            NameFull: Sophia Weyrich
      – PersonEntity:
          Name:
            NameFull: INTEGRATE-ADHD Study Group
      – PersonEntity:
          Name:
            NameFull: Ulrike Ravens-Sieberer
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 1087-0547
            – Type: issn-electronic
              Value: 1557-1246
          Numbering:
            – Type: volume
              Value: 29
            – Type: issue
              Value: 14
          Titles:
            – TitleFull: Journal of Attention Disorders
              Type: main
ResultId 1