eprintid: 11705
rev_number: 11
eprint_status: archive
userid: 1982
dir: disk0/00/01/17/05
datestamp: 2021-10-06 11:23:26
lastmod: 2021-10-06 11:23:26
status_changed: 2021-10-06 11:23:26
type: article
metadata_visibility: show
creators_name: Pandhita S, Gea
creators_name: Sutrisna, Bambang
creators_name: Wibowo, Samekto
creators_name: Adisasmita, Asri C
creators_name: Rahardjo, Tri Budi Wahyuni
creators_name: Amir, Nurmiati
creators_name: Rustika, Rustika
creators_name: Kosen, Soewarta
creators_name: Syarif, Syahrizal
creators_name: Wreksoatmodjo, Budi Riyanto
creators_id: geapandhita@uhamka.ac.id
creators_id: bsbambangsutrisna@gmail.com
creators_id: samektowibowo@yahoo.com
creators_id: aadisasmita@gmail.com
creators_id: tri.budi.wr@gmail.com
creators_id: nurmiati.a@gmail.com
creators_id: rustikaherman@yahoo.co.id
creators_id: soewarta.kosen7@gmail.com
creators_id: rizalure@yahoo.co.au
creators_id: budi.rw@gmail.com
creators_orcid: 0000-0001-5206-2447
contributors_type: http://www.loc.gov/loc.terms/relators/AUT
contributors_name: Pandhita S, Gea
contributors_id: geapandhita@uhamka.ac.id
corp_creators: Department of Neurology, Faculty of Medicine, Universitas Muhammadiyah Prof. Dr. HAMKA, Jakarta, Indonesia
corp_creators: Department of Epidemiology, Faculty of Public Health, Universitas Indonesia, Jakarta , Indonesia
corp_creators: Department of Neurology, Faculty of Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
corp_creators: Faculty of Health Science, Universitas Respati Indonesia, Jakarta, Indonesia
corp_creators: Department of Psychiatry, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
corp_creators: National Institute of Health Research and Development, Ministry of Health, Republic of Indonesia, Jakarta, Indonesia
corp_creators: Department of Neurology, Faculty of Medicine, Universitas Katolik Atma Jaya, Jakarta, Indonesia
title: Decision Tree Clinical Algorithm for Screening of Mild Cognitive Impairment in the Elderly in Primary Health Care: Development, Test of Accuracy, and Time-Effectiveness Analysis
ispublished: pub
subjects: RC0321
divisions: 11201
abstract: Mild cognitive impairment (MCI) is predicted to be a common cognitive impairment in primary health care. Early detection and appropriate management of MCI can slow the rate of deterioration in cognitive deficits. The current methods for early detection of MCI have not been satisfactory for some doctors in primary health care. Therefore, an easy, fast, accurate, and reliable method for screening MCI in primary health care is needed. This study intends to develop a decision tree clinical algorithm based on a combination of simple neurological physical examination and brief cognitive assessment for distinguishing elderly with MCI from normal elderly in primary health care. This is a diagnostic study, comparative analysis in elderly with normal cognition and those presenting with MCI. We enrolled 212 elderly people aged 60.04–79.92 years old. Multivariate statistical analysis showed that the existence of subjective memory complaints, history of lack of physical exercise, abnormal verbal semantic fluency, and poor one-leg balance were found to be predictors of MCI diagnosis ( p ≤ 0.001; p = 0.036; p ≤ 0.001; p = 0.013). The decision trees clinical algorithm, which is a combination of these variables, has fairly good accuracy in distinguishing elderly with MCI from normal elderly (accuracy = 89.62%; sensitivity = 71.05%; specificity = 100%; positive predictive value = 100%; negative predictive value = 86.08%; negative likelihood ratio = 0.29; and time effectiveness ratio = 3.03). These results suggest that the decision tree clinical algorithm can be used for screening of MCI in the elderly in primary health care.
date: 2020-04-02
date_type: published
publisher: Karger
official_url: https://www.karger.com/Article/Abstract/503830
id_number: https://doi.org/10.1159/000503830
full_text_status: public
publication: Neuroepidemiology
volume: 54
number: 3
pagerange: 243-250
refereed: TRUE
issn: 0251-5350 (Print); e-ISSN: 1423-0208 (Online)
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citation:   Pandhita S, Gea dan Sutrisna, Bambang dan Wibowo, Samekto dan Adisasmita, Asri C dan Rahardjo, Tri Budi Wahyuni dan Amir, Nurmiati dan Rustika, Rustika dan Kosen, Soewarta dan Syarif, Syahrizal dan Wreksoatmodjo, Budi Riyanto  (2020) Decision Tree Clinical Algorithm for Screening of Mild Cognitive Impairment in the Elderly in Primary Health Care: Development, Test of Accuracy, and Time-Effectiveness Analysis.  Neuroepidemiology, 54 (3).  pp. 243-250.  ISSN 0251-5350 (Print); e-ISSN: 1423-0208 (Online)     
document_url: http://repository.uhamka.ac.id/id/eprint/11705/1/503830.jpeg