{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T01:02:34Z","timestamp":1786496554242,"version":"build-2736575974"},"reference-count":40,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2021,3,11]],"date-time":"2021-03-11T00:00:00Z","timestamp":1615420800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100006181","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado da Bahia","doi-asserted-by":"publisher","award":["BOL0351\/2018"],"award-info":[{"award-number":["BOL0351\/2018"]}],"id":[{"id":"10.13039\/501100006181","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2013\/07699\u20100"],"award-info":[{"award-number":["2013\/07699\u20100"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["movementdisorders.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Movement Disord Clin Pract"],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>A 3\u2010step clinical prediction tool including falling in the previous year, freezing of gait in the past month and self\u2010selected gait speed &lt;1.1\u2009m\/s has shown high accuracy in predicting falls in people with Parkinson's disease (PD). The accuracy of this tool when including only self\u2010report measures is yet to be determined.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>To validate the 3\u2010step prediction tool using only self\u2010report measures (3\u2010step self\u2010reported prediction tool), and to externally validate the 3\u2010step clinical prediction tool.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The clinical tool was used with 137 individuals with PD. Participants also answered a question about self\u2010reported gait speed, enabling scoring of the self\u2010reported tool, and were followed\u2010up for 6\u2009months. An intraclass correlation coefficient (ICC<jats:sub>2,1<\/jats:sub>) was calculated to evaluate test\u2013retest reliability of the 3\u2010step self\u2010reported prediction tool. Multivariate logistic regression models were used to evaluate the performance of both tools and their discriminative ability was determined using the area under the curve (AUC).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Forty\u2010two participants (31%) reported \u22651 fall during follow\u2010up. The 3\u2010step self\u2010reported tool had an ICC<jats:sub>2,1<\/jats:sub> of 0.991 (95% CI 0.971\u20130.997; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) and AUC = 0.68; 95% CI 0.59\u20130.77, while the 3\u2010step clinical tool had an AUC = 0.69; 95% CI 0.60\u20130.78.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The 3\u2010step self\u2010reported prediction tool showed excellent test\u2013retest reliability and was validated with acceptable accuracy in predicting falls in the next 6 months. The 3\u2010step clinical prediction tool was externally validated with similar accuracy. The 3\u2010step self\u2010reported prediction tool may be useful to identify people with PD at risk of falls in e\/tele\u2010health settings.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mdc3.13170","type":"journal-article","created":{"date-parts":[[2021,2,15]],"date-time":"2021-02-15T01:31:51Z","timestamp":1613352711000},"page":"427-434","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A Self\u2010Reported Clinical Tool Predicts Falls in People with Parkinson's Disease"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4056-0208","authenticated-orcid":false,"given":"Lorena Rosa S.","family":"Almeida","sequence":"first","affiliation":[{"name":"Movement Disorders and Parkinson's Disease Clinic Roberto Santos General Hospital  Salvador Brazil"},{"name":"Motor Behavior and Neurorehabilitation Research Group Bahiana School of Medicine and Public Health  Salvador 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