A Study of the Approaches to Treating Missing Data in the Data Collected with the WHODAS 2.0 Scale
Author(s) -
Duygu Sıddıkoğlu,
Beyza Doğanay Erdoğan,
Derya Öztuna,
Şehim Kutlay
Publication year - 2019
Publication title -
journal of ankara university faculty of medicine
Language(s) - English
Resource type - Journals
ISSN - 1307-5608
DOI - 10.4274/atfm.galenos.2019.30075
Subject(s) - scale (ratio) , missing data , computer science , data science , geography , machine learning , cartography
The aim of this study was to evaluate whether missing data rates are indicated in articles which applied World Health Organization Disability Assessment Schedule 2.0 scale (WHODAS 2.0); and to determine if missing data analysis were done and how it was conducted. We conducted a systematic literature review on articles applying WHODAS 2.0 about strategies used for missing data analysis from November 4, 1999, to April 6, 2018. We evaluated whether the rates of missingness is given by domain and item, how the handling missing data strategies proposed in manual for WHODAS 2.0 taken into consideration and other approaches for missing data analysis. A total of 91 abstracts were reviewed and 82 articles chosen for full text review. Thirty-two articles were included in the final evaluation. Below 30% of articles gave the rate of overall missingness and rates by domain. Only 9.38% of articles gave missing rate for some items that have the highest Abstract
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