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An online platform and a dynamic database for neuropsychological assessment in Indonesia
Applied Neuropsychology: Adult ( IF 1.7 ) Pub Date : 2021-07-13 , DOI: 10.1080/23279095.2021.1943397
Shinta Estri Wahyuningrum 1, 2 , Gilles van Luijtelaar 1 , Augustina Sulastri 3
Affiliation  

Abstract

Proper use of neuropsychological tests in Indonesia is hindered by a lack of properly adapted neurocognitive tests as well as an absence of normative data. In 2016, we started adapting ten of these tests for use in Indonesia and collected data from healthy participants in Java. Here we introduce and propose a system that will facilitate the proper usage and interpretation of test scores: an online platform and a dynamic database. Newly collected data (492 healthy adults) of the Indonesian version of the Boston Naming Test (I-BNT) were used to illustrate the usefulness of the two functions. Analysis of variances, post-hoc tests, and a simulation study revealed the effects of age and education on the I-BNT, indicating that it is imperative to fine-tune the reference group based on these demographic factors. Putative inadequate sample size issues for obtaining reliable normative scores were overcome by employing regression analyses and the prediction of normative scores. It can be concluded that a flexible online platform is available for the calculation of normative scores either based on the whole population, on fine-tuned reference groups, or on predicted scores. The dynamic database’s growth will allow to obtain even more fine-tuned and more reliable reference data as well as more accurate predictions. Fine-tuned reference data are badly needed for the heterogenous Indonesian population.



中文翻译:

印度尼西亚神经心理学评估的在线平台和动态数据库

摘要

由于缺乏适当调整的神经认知测试以及缺乏规范数据,在印度尼西亚正确使用神经心理学测试受到阻碍。2016 年,我们开始调整其中 10 项测试以在印度尼西亚使用,并从 Java 的健康参与者那里收集数据。在这里,我们介绍并提出一个有助于正确使用和解释考试成绩的系统:一个在线平台和一个动态数据库。印度尼西亚版波士顿命名测试 (I-BNT) 的新收集数据(492 名健康成年人)用于说明这两个功能的有用性。方差分析、事后检验和模拟研究揭示了年龄和教育对 I-BNT 的影响,表明必须根据这些人口统计因素微调参考组。通过采用回归分析和规范分数的预测,克服了为获得可靠的规范分数而假定的样本量不足问题。可以得出结论,可以使用一个灵活的在线平台来计算基于整个人口、微调参考组或预测分数的规范分数。动态数据库的增长将允许获得更精细和更可靠的参考数据以及更准确的预测。异质的印度尼西亚人口迫切需要经过微调的参考数据。在微调参考组或预测分数上。动态数据库的增长将允许获得更精细和更可靠的参考数据以及更准确的预测。异质的印度尼西亚人口迫切需要经过微调的参考数据。在微调参考组或预测分数上。动态数据库的增长将允许获得更精细和更可靠的参考数据以及更准确的预测。异质的印度尼西亚人口迫切需要经过微调的参考数据。

更新日期:2021-07-13
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