ArticleHealth and quality of life outcomes2010
Identifying type and determinants of missing items in quality of life questionnaires: Application to the SF-36 French version of the 2003 Decennial Health Survey.
Article in Health and quality of life outcomes, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- Article
- Sequential Multiple Imputation for Real-World Health-Related Quality of Life Missing Data after Bariatric Surgery.International journal of environmental research and public health · 2022Article
- Feasibility properties of the EQ-5D-3L and 5L in the general population: evidence from the GP Patient Survey on the impact of age.Health economics review · 2022Article
- Observational
- Defining the cut-off point of clinically significant postoperative fatigue in three common fatigue scales.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019Article
- Psychometric properties of a French version of a Dutch scale for assessing breast and body image (BBIS) in healthy women.BMC women's health · 2013Article
- Non response, incomplete and inconsistent responses to self-administered health-related quality of life measures in the general population: patterns, determinants and impact on the validity of estimates - a population-based study in France using the MOS SF-36.Health and quality of life outcomes · 2013Article
- Factors associated with incomplete DASH questionnaires.Hand (New York, N.Y.) · 2013Article
- Spatio-temporal Rasch analysis of quality of life outcomes in the French general population: measurement invariance and group comparisons.BMC medical research methodology · 2012Article
- Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques applied to the SF-36 in the French 2003 decennial health survey.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2011Article
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3 authors.
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Abstract
backgroundMissing items are common in quality of life (QoL) questionnaires and present a challenge for research in this field. The development of sound strategies of replacement and prevention requires accurate knowledge of their type and determinants.
methodsWe used the 2003 French Decennial Health Survey of a representative sample of the general population--including 22,620 adult subjects who completed the SF-36 questionnaire--to test various socio-demographic, health status and QoL variables as potential predictors of missingness. We constructed logistic regression models for each SF-36 item to identify independent predictors and classify them according to Little and Rubin ("missing completely at random", "missing at random" and "missing not at random").
resultsThe type of missingness was missing at random for half of the items of the SF-36 and missing not at random for the others. None of the items were missing completely at random. Independent predictors of missingness were age, female sex, low scores on the SF-36 subscales and in some cases low educational level, occupation, nationality and poor health status.
conclusionThis study of the SF-36 shows that imputation of missing items is necessary and emphasizes several factors for missingness that should be considered in prevention strategies of missing data. Similar methodologies could be applied to item missingness in other QoL questionnaires.
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