| Literature DB >> 33103715 |
Danielle M Ransom1, Sakina M Butt1, Emily K DiVirgilio1, Charles D Cederberg1, Kyle D Srnka1, Colleen T Hess1, Megan C Sy1, Jennifer M Katzenstein1.
Abstract
OBJECTIVE: Teleneuropsychology (TeleNP) is a growing and promising practice within the telemedicine landscape that has been well established within the adult neuropsychology literature. This project aimed to demonstrate the feasibility of TeleNP in a pediatric clinical population and disseminate clinical decision-making procedures to guide best practices for pediatric TeleNP.Entities:
Keywords: Childhood Development; Coronavirus; Neuropsychological Assessment; Pediatrics; Primary Health Care; Telemedicine; Telepsychology
Mesh:
Year: 2020 PMID: 33103715 PMCID: PMC7665284 DOI: 10.1093/arclin/acaa103
Source DB: PubMed Journal: Arch Clin Neuropsychol ISSN: 0887-6177 Impact factor: 2.813
Tests administered via teleneuropsychology by domain
| Standardization kept | |||
|---|---|---|---|
| Domain | Measure(s) Used | Yes | Yes, with modifications |
| Intellectual abilities | WASI-II vocabulary | X | |
| WASI-II similarities | X | ||
| WASI-II matrix reasoning | X | ||
| DAS-II | X | ||
| Developmental | Bayley-3 | X | |
| Learning and memory | ChaMP screener | X | |
| Processing speed | Oral symbol digit modalities | X | |
| Attention/executive functioning | WISC-V/WAIS-IV digit span forward | X | |
| DKEFS verbal fluency | X | ||
| NEPSY-II word generation | X | ||
| NEPSY-II inhibition | X | ||
| DKEFS inhibition | X | ||
| Oral trails | X | ||
| DKEFS 20 questions | X | ||
| Academics | Bracken expressive form (SRC and subtest 7) | X | |
| CTOPP phonological awareness | X | ||
| WIAT-III word reading | X | ||
| WIAT-III spelling | X | ||
| WIAT-III pseudoword decoding | X | ||
| Rating scales | BRIEF-2 | X | |
| BASC-3 | X | ||
| PCEI | X | ||
| CNMC | X | ||
| DP-3 | X | ||
| MCHAT | X | ||
| Vineland −3 Interview | X | ||
| ABAS-3 | X | ||
| Validity | MVP | X | |
Fig. 1Teleneuropsychology decision tree.
Demographics of sample reviewed for teleneuropsychology consideration
|
| % | Minimum | Maximum |
| SD | ||
|---|---|---|---|---|---|---|---|
| Age | 129 | — | 1 | 21 | 8.78 | 6.53 | |
| Gender | Female | 66 | 51 | ||||
| Race | White | 86 | 67 | ||||
| Black | 34 | 26 | |||||
| Asian | 2 | 2 | |||||
| Other | 7 | 5 | |||||
| Ethnicity | Non-Hispanic | 114 | 88 | ||||
| Hispanic | 14 | 11 | |||||
| Missing | 1 | <1 | |||||
| Focus of evaluation | Standard Neuropsychological | 68 | 53 | ||||
| Developmental | 30 | 23 | |||||
| Psychological | 4 | 3 | |||||
| Missing | 15 | 12 | |||||
| Other | 12 | 9 | |||||
| Arrived for appointment | Yes | 105 | 81 |
Demographics of patients who attended their scheduled teleneuropsychology appointment
|
| % | Minimum | Maximum |
| SD | ||
|---|---|---|---|---|---|---|---|
| Age | 105 | 1 | 21 | 8.83 | 6.52 | ||
| Gender | Female | 54 | 51 | ||||
| Race | White | 74 | 70 | ||||
| Black | 25 | 24 | |||||
| Asian | 2 | 2 | |||||
| Other | 4 | 4 | |||||
| Ethnicity | Non-Hispanic | 94 | 90 | ||||
| Hispanic | 11 | 10 | |||||
| Maternal Education | Less than High School | 2 | 2 | ||||
| High School/GED | 14 | 13 | |||||
| Some College/AA | 21 | 20 | |||||
| College Graduate | 15 | 14 | |||||
| Post-College Education | 10 | 10 | |||||
| Not Reported | 43 | 41 | |||||
| Paternal Education | Less than High School | 3 | 3 | ||||
| High School/GED | 22 | 21 | |||||
| Some College/AA | 8 | 8 | |||||
| College Graduate | 15 | 14 | |||||
| Post-College Education | 8 | 8 | |||||
| Not Reported | 49 | 46 | |||||
| IQ scores | WASI-II Vocabulary T-Score | 39 | — | 22 | 80 | 49.46 | 12.28 |
| WASI-II Matrix Reasoning T-Score | 39 | — | 23 | 71 | 47.59 | 11.23 | |
| WASI-II Similarities T-Score | 7 | — | 20 | 62 | 45.71 | 14.14 | |
| DAS Naming T-Score | 8 | — | 41 | 52 | 45.25 | 4.33 |
aOne hundred five patients arrived for the appointment after 129 deemed appropriate.
Teleneuropsychology evaluation characteristics and clinical decision-making
|
| % | ||
|---|---|---|---|
| Evaluation focus | Standard neuropsychological | 59 | 56 |
| Focused psychological | 4 | 4 | |
| Developmental | 30 | 29 | |
| Other/missing | 12 | 11 | |
| Device used | Phone/tablet | 24 | 23 |
| Computer | 52 | 50 | |
| Unknown | 29 | 27 | |
| Testing decision-making | Seen for testing | 84 | 80 |
| Deferred testing | 21 | 20 | |
| Clinical population | Traumatic brain injury | 13 | 12 |
| Developmental | 17 | 16 | |
| Can survive screener | 14 | 13 | |
| SLE screener | 6 | 6 | |
| Cardiac | 3 | 3 | |
| CAR-T screener | 2 | 2 | |
| General intake | 3 | 3 | |
| Focused psychological | 1 | 1 | |
| General neuropsychological | 29 | 28 | |
| Missing | 17 | 16 | |
| Referred for follow-up in 6 months | Yes | 66 | 63 |
| No | 39 | 37 |
aOf the 66 referred for follow-up, 21 were deferred prior to initiating testing.