4.1 Article

Pre-appointment online assessment of patient complexity: Towards a personalized model of neuropsychological assessment

Journal

CHILD NEUROPSYCHOLOGY
Volume 27, Issue 2, Pages 232-250

Publisher

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/09297049.2020.1822310

Keywords

Clinical decision-making; decision-support systems; precision medicine; personalized medicine; neuropsychology

Ask authors/readers for more resources

Recent events such as the global pandemic have pushed neuropsychologists to expand their capacity for remote assessments. A study evaluated an online methodology for categorizing pediatric patients based on caregiver-reported impairments, identifying four patient subtypes. Pre-appointment classification of patient complexity may enhance efficient triage and personalized assessment strategies in the future.
Recent events such as the global pandemic of COVID-19 have challenged neuropsychologists to scale up their capacity to conduct portions of their assessment remotely. While more complex patients will likely continue to require on-site, office-based interaction and assessment, the current emergency-based expansion of online and telehealth evaluation practices may ultimately lay the groundwork for more routine, online assessment of patients with less complex presentations in the future. To this end, the current study evaluated a pre-appointment, online methodology for differentiating referred pediatric patients based upon the scope and severity of their caregiver-reported adaptive, academic, attentional, behavioral, and emotional impairment. Prior to on-site assessment, parents/caregivers of 2197 children (Mean age = 10.0y, range = 4-19y, 62% male) completed an online developmental history form screening for symptoms of adaptive, attentional, learning, affective, and behavioral impairment; 71% of those children eventually underwent assessment. Using latent class analysis, the data supported a reproducible 4-class model consisting of groups of children at increased risk for: 1) severe multi-domain dysfunction; the High Complexity group, 30%, 2) behavioral-affective (but not academic) dysregulation; the Behavioral Focus group, 13%, 3) academic (but not behavioral-affective) problems; the Academic and Inattention group, 37%, and 4) patients with minimal clinical complexity; the Low Complexity group, 20%. Comparison of pre-visit classification with day-of-assessment standardized test scores supported the validity of patient subtypes. Moving forward, pre-appointment clarification of patient complexity may support efficient patient triage with regard to assessment modality (e.g., on-site or online) and length of appointment (e.g., comprehensive or targeted).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.1
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available