ArticleHand (New York, N.Y.)2013
Factors associated with incomplete DASH questionnaires.
Article in Hand (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 4 citations in OpenAlex.
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMissing data are unavoidable in clinical research. Older age, female gender, and fewer years of education are risk factors for missing items in a questionnaire. This study assessed the differences between patients with complete and incomplete Disabilities of the Arms, Shoulder and Hand (DASH) questionnaires in terms of demographics and psychological factors.
methodsWe analyzed a convenience sample of 1,204 patients enrolled in eight prospective studies. The DASH and the Pain Catastrophizing Scale were completed by all patients. The Center for Epidemiologic Studies Depression scale, Patient Health Questionnaire, Pain Anxiety Symptoms Scale, and an ordinal pain scale were completed by 745, 493, 545, and 391 patients, respectively. Bivariate analysis and binary logistic regression were used to determine risk factors for incomplete (one or more unanswered question) or invalid (more than three unanswered questions) DASH questionnaires.
resultsThirty-one percent of patients did not complete all questions on the DASH. Patients with an incomplete DASH were older, had fewer years of education, and had higher levels of catastrophic thinking, depression, and pain anxiety. Age and catastrophic thinking were retained in the best logistic regression models of predictors of both incomplete and invalid DASH questionnaires.
conclusionsThe observation that patients who complete disability questionnaires are different from patients who do not may affect the interpretation of clinical research. Computer adaptive testing may be preferable to avoid incomplete questionnaires. LEVEL OF EVIDENCE: Prognostic Level II.
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