PubMed Health⌕ Search

Biomedical subjects

Doyle Patton

Publications and source records attributed to Doyle Patton.

6 recordsLinked to original sources
PubMed2006

Test performance and classification statistics for the Rey Auditory Verbal Learning Test in selected clinical samples.

The Rey Auditory Verbal Learning Test [RAVLT; Rey, A. (1941). L'examen psychologique dans les cas d'encéphalopathie traumatique. Archives de Psychologie, 28, 21] is a commonly used neuropsychological measure that assesses verbal learning and memory. Normative data have been compiled [Schmidt, M. (1996). Rey Auditory and Verbal Learning Test: A handbook. Los Angeles, CA: Western Psychological Services]. When assessing an individual suspected of neurological dysfunction, useful comparisons include the extent that the patient deviates from healthy peers and also how closely the subject's performance matches those with known brain injury. This study provides the means and S.D.'s of 392 individuals with documented neurological dysfunction [closed head TBI (n=68), neoplasms (n=57), stroke (n=47), Dementia of the Alzheimer's type (n=158), and presurgical epilepsy left seizure focus (n=28), presurgical epilepsy right seizure focus (n=34)] and 122 patients with no known neurological dysfunction and psychiatric complaints. Patients were stratified into three age groups, 16-35, 36-59, and 60-88. Data were provided for trials I-V, List B, immediate recall, 30-min delayed recall, and recognition. Classification characteristics of the RAVLT using [Schmidt, M. (1996). Rey Auditory and Verbal Learning Test: A handbook. Los Angeles, CA: Western Psychological Services] meta-norms found the RAVLT to best distinguish patients suspected of Alzheimer's disease from the psychiatric comparison group.

Adolescent↗
PubMed2006

Prediction errors of the Oklahoma Premorbid Intelligence Estimate-3 (OPIE-3) stratified by 13 age groups.

The Oklahoma Premorbid Intelligence Estimate-3 (OPIE-3) combines Wechsler Adult Intelligence Scale-3rd edition (WAIS-III) subtest raw scores (vocabulary, information, matrix reasoning, and picture completion) and demographic data (i.e., age, education, gender, ethnicity, and region) to predict FSIQ scores. Differences between OPIE-3 estimated FSIQ scores and actual FSIQ scores were compared across 13 age groups in a random sample (N=1201) of the WAIS-III standardization sample. There were mean differences in estimated FSIQ between age groups (P<.01). There was a trend that the OPIE-3 algorithms underestimated FSIQ for individuals 16-17 (2.7 points) and 80-89 years old (3.5 points). However, the differences in estimation errors were small and the percentage of individuals misclassified by more than 10 FSIQ points by age group was similar across groups. The OPIE-3(2ST), OPIE-3MR, and OPIE-3VOC yielded robust estimates of FSIQ across age groups in a neurologically intact sample. Limitations, particularly with individuals aged 16-17 and 85-89 years, are discussed.

Adolescent↗
PubMed2005

Regression-based formulas for predicting change in RBANS subtests with older adults.

Repeated neuropsychological assessments are common with older adults, and the determination of clinically significant change across time is an important issue. Regression-based prediction formulas have been utilized with other patient and healthy control samples to predict follow-up test performance based on initial performance and demographic variables. Comparisons between predicted and observed follow-up performances can assist clinicians in making the determination of change in the individual patient. The current study developed regression-based prediction equations for the twelve subtests of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) in a sample of 223 community dwelling older adults. All algorithms included both initial test performances and demographic variables. These algorithms were then validated on a separate elderly sample (n = 222). Minimal differences were present between Observed and Predicted follow-up scores in the Validation sample, suggesting that the prediction formulas would be useful for practitioners who assess older adults. A case example is presented that utilizes the formulas.

Age Factors↗
PubMed2004

Predicting change with the RBANS in a community dwelling elderly sample.

Repeated neuropsychological assessments are common with older adults, and the determination of clinically significant change across time is an important issue. Regression-based prediction formulas have been utilized with other patient and healthy control samples to predict follow-up test performance based on initial performance and demographic variables. Comparisons between predicted and observed follow-up performances can assist clinicians in determining the significance of change in the individual patient. In the current study, multiple regression-based prediction equations for the 5 Indexes and Total Score of the RBANS were developed for a sample of 223 community dwelling older adults. These algorithms were then validated on a separate elderly sample (N = 222). Minimal differences were present between observed and predicted follow-up scores in the validation sample, suggesting that the prediction formulas are clinically useful for practitioners who assess older adults. A case example is presented that illustrates how the algorithms can be used clinically.

Aged↗
PubMed2003

Age- and education-corrected independent normative data for the RBANS in a community dwelling elderly sample.

The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS, Randolph, 1998) is likely to become a popular screening instrument for measuring cognitive functioning, particularly in elderly patients. As such, the present study attempted to extend the original normative data by reporting on RBANS performances in a group of 718 community dwelling older adults. Participants were recruited from an outpatient primary care setting, and were assessed for demographic, medical status, functional status, and quality of life information. Utilizing four empirically supported overlapping midpoint age ranges, individual subtest raw scores were converted to age-corrected scaled scores based on their position within a cumulative frequency distribution. These age-corrected scaled scores were also converted into education-corrected scaled scores using the same methodology across four education levels. Independent Index and Total scores were also calculated based on the data from this large elderly sample. These data may considerably advance the clinical utility of the RBANS by allowing clinicians to interpret individual subtests and make direct comparisons between subtests. Practitioners and researchers who elect to use the current normative data are encouraged to consider the similarities and differences between the present sample and their individual patients or research participants.

Aged↗