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Medication fall risk in old hospitalized patients: a retrospective study

dc.contributor.authorDias, Maria José Costa
dc.contributor.authorOliveira, Alexandre Santos
dc.contributor.authorMartins, Teresa
dc.contributor.authorAraújo, Fátima
dc.contributor.authorSantos, Ana Sofia
dc.contributor.authorMoreira, Cristina Nogueira
dc.contributor.authorJosé, Helena
dc.date.accessioned2014-09-24T16:46:14Z
dc.date.available2014-09-24T16:46:14Z
dc.date.issued2014
dc.description.abstractBackground: While the causes of falls in old hospitalized patients are multifactorial, medication has been considered as one of the most significant factors. Given the large impact that this phenomenon has on the lives of the elderly and organizations, it is important to explore such phenomenon in greater depth. Objective: The objective of this study was to explore the association between medication and falls and the recurrent falls (n ≥ 2), and identify medication related risk for fall in hospitalized patients, in a large acute hospital. Design: Retrospective and quantitative study from June 2008 to December 2010. Setting: The study was conducted in a private hospital for acute patients in Lisbon, Portugal. Participants: The study included a sample of 214 episodes of fall event notifications which occurred in 193 patients. Methods: The current study was conducted through the “face to face consensus” technique which emerged the treatment groups to investigate. Regarding the data analysis we used Student's t test, ANOVA and Odds Ratio. In the violation of the premises for the use of parametric statistics we used the Kruskal-Wallis test. To assess the fall risk, and the medication-related fall risk, we used the Morse Fall Risk Scale, and the Medication Fall Risk Score. Results: Patients who received drugs from the therapy group of “Central Nervous System”, are 10 times more likely to have fall risk (OR 9. 90, 95% CI 1.6–60.63). Association was found between falls (OR 6.09, 95% CI 1.30–28.54) and its recurrence (OR 3.32, 95% CI 1.61–6.85), among patients receiving haloperidol and receiving tramadol for recurrent falls (OR 3.10, 95% CI 1.59–6.07). In 34% of the patients the medication fall risk score was 6 or higher. Conclusions: This current study allowed identifying medication-related risk factors for falls, that nurses should consider when prescribing interventions to prevent falls and its recurrence, when patients are admitted to acute care hospitals.por
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.citationCosta-Dias, M. J., Oliveira, A. S., Martins, T., Araújo, F., Santos, A. S., Moreira, C. N., & José, H. (2014). Medication fall risk in old hospitalized patients: A retrospective study. Nurse Education Today, 34(2), 171–176. https://doi.org/10.1016/j.nedt.2013.05.016por
dc.identifier.doi10.1016/j.nedt.2013.05.016
dc.identifier.issn0260-6917
dc.identifier.urihttp://hdl.handle.net/10400.14/15121
dc.identifier.wosWOS:000331347000003
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.publisherChurchill Livingstone
dc.subjectAccidental fallspor
dc.subjectPharmaceutical preparationspor
dc.subjectHospital servicespor
dc.subjectAdultpor
dc.titleMedication fall risk in old hospitalized patients: a retrospective studypor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage176por
oaire.citation.endPage176
oaire.citation.issue2
oaire.citation.issue2
oaire.citation.startPage171por
oaire.citation.startPage171
oaire.citation.titleNurse Education Todaypor
oaire.citation.volume34por
person.familyNameMartins
person.familyNameJosé
person.givenNameTeresa
person.givenNameHelena
person.identifier.ciencia-id5E18-D769-1D3D
person.identifier.ciencia-id3E17-90EB-00EE
person.identifier.orcid0000-0003-3395-7653
person.identifier.orcid0000-0002-2626-8561
person.identifier.ridP-2550-2018
person.identifier.scopus-author-id57164419600
person.identifier.scopus-author-id23397521200
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor
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relation.isAuthorOfPublicationd45bb23f-b739-4c80-980c-c4efab20ccb5
relation.isAuthorOfPublication.latestForDiscoveryb4be62b2-6af1-4067-b67a-d80c47043731

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