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Barriers to Identifying Learning Disabilities: A Qualitative Study of Clinicians and Educators
Lauren A Stone1, Laelia Benoit1, Andrés Martin1
1Child Study Center (LA Stone, L Benoit, and A Martin), Yale School of Medicine, New Haven, Conn.
Objective:
The estimated prevalence of learning disabilities (LDs) is nearly 8% of all children. Fewer than 5% of all children are diagnosed in public schools, jeopardizing remediation. We aimed to identify barriers affecting front-line child-facing professionals in detecting LDs in school-aged children.
Methods:
We conducted a qualitative study with individual interviews of 40 professionals from different areas of the United States identified through theoretical sampling (20 educators, 10 pediatricians, and 10 child mental health clinicians). Clinicians represented academic and community settings, and educators represented public, private, and charter schools. Twenty had expertise in assessing LDs; 20 were generalists without specific training. We also endeavored to maximize representation across age, gender, race and ethnicity, and location. We analyzed transcripts utilizing grounded theory and identified themes reflecting barriers to detection.
Results:
Themes and sub-themes included: 1) areas requiring improved professional education (misconceptions that may hinder detection, confounding factors that may mask LDs, and need for increasing engagement of parents or guardians in identifying LDs) and 2) systemic barriers (time constraints that limited professionals' ability to advocate for children and to delve into their emotional experiences, inconsistent guidelines across institutions and inconsistent perceptions of professional responsibility for detection, and confusion surrounding screening tools and lack of screening by some professionals in the absence of overt problems).
Conclusions:
Clinicians and other child-facing professionals may benefit from augmented training in screening and identification and enhanced evidence-based and institutional guidance. These efforts could increase efficiency and perceived responsibility for recognition and improve earlier detection.
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