Application of data mining to the identification of critical factors in patient falls using a web-based reporting system

Lee, Ting Ting; Liu, Chieh‐Yu; Yc, Kuo; Mills, Mary Etta; Fong, Jian Guo; Hung, Cheyu

doi:10.1016/j.ijmedinf.2010.10.009

Cited by 53 publications

(43 citation statements)

References 26 publications

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“…Regarding the use of drugs, those with potential depression of the central nervous system are related to falls, such as benzodiazepines (26,30,32,34,37,43,49,59,60,71) , antipsychotics (26,33,38,44,49,56,59,72) , antidepressants (37,43,59) , narcotics/opiate (33)(34)71) , barbiturate (14,16,27,32,37,(47)(48) , antihistamines (31,36,71) , anticonvulsants (31,36,44,59,60) and sedatives (20,27,37) in general. Medicines that may cause hypotension are also associated with risk of falls (antihypertensives) (16,26,35,49,60) , in addition to diuretics (16,…”

Section: Discussionmentioning

confidence: 99%

“…Medicines that may cause hypotension are also associated with risk of falls (antihypertensives) (16,26,35,49,60) , in addition to diuretics (16,26,(36)(37)59,74) . Laxatives were mentioned in a few studies (37,72,59) . However, the antidiabetics that have excelled in only one case-control study (31) and another crosssectional (49) , and the antiarrhythmics (26,43) and anticoagulants (44) , that were mentioned in this integrative review only in literature reviews, do not seem to show strong enough evidence to be associated with the outcome.…”

Section: Discussionmentioning

confidence: 99%

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Risk factors for falls in hospitalized adult patients: an integrative review

Severo

Almeida

Kuchenbecker

et al. 2014

Rev. esc. enferm. USP

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Rev Esc Enferm USP2014; 48(3):537-51 www.ee.usp.br/reeusp/ RESUMEN Objetivo: Identificar los factores de riesgo para la ocurrencia de caídas en pacientes adultos hospitalizados. Método: Revisión integradora de la literatura de artículos publicados entre los años 1989 al 2012 en las bases de datos LILACS, SciElO, MEDLINE y Web of Science. Resultados: La muestra final estuvo compuesta por setenta y un artículos. Entre los factores de riesgo de caídas indicados en esta revisión están los relacionados con el paciente (intrínsecos), con el ambiente hospitalario y con el proceso de trabajo de los profesionales de la salud, especialmente enfermería (extrínse-cos). Conclusión: La detección sistemática de factores de riesgo asociados a caídas fue identificada como un factor que contribuye a la reducción de este daño, favoreciendo de esta manera su no ocurrencia, la que a pesar de ser prevenible puede acarrear consecuencias graves, incluyendo la muerte. DESCRIPTORESAccidentes por caídas Pacientes interno Hospitalización Seguridad del paciente Atención de enfermeira Revisión RESUMOObjetivo: Identificar os fatores de risco para a ocorrência de quedas em pacientes adultos hospitalizados. Método: Revisão integrativa realizada nas bases de dados LILACS, SciELO, MEDLINE e Web of Science, abrangendo artigos publicados entre 1989 e 2012. Resultados: Setenta e um artigos compuseram a amostra final do estudo. Os fatores de risco para quedas apresentados nesta revisão foram relacionados ao paciente (intrínsecos), ao ambiente hospitalar e ao processo de trabalho dos profissionais da saúde, em especial à enfermagem (extrínsecos). Conclusão: A triagem sistemática de fatores de risco para queda foi identificada como fator contribuinte para a redução desse agravo, auxiliando a não ocorrência deste evento que, apesar de ser prevenível, pode determinar consequên-cias graves incluindo o óbito. DESCRITORES Acidentes por quedas Pacientes internados Hospitalização Segurança do paciente Cuidados de enfermagem Revisão ABSTRACTObjective: Identifying risk factors for the occurrence of falls in hospitalized adult patients. Method: Integrative review carried out in the databases of LILACS, SciELO, ME-DLINE and Web of Science, including articles published between 1989 and 2012. Results: Seventy-one articles were included in the final sample. Risk factors for falls presented in this review were related to patients (intrinsic), the hospital setting and the working process of health professionals, especially in nursing (extrinsic). Conclusion: The systematic screening of risk factors for falls was identified as a contributing factor to the reduction of this injury, helping the nonoccurrence of this event that, despite being preventable, can have serious consequences including death. DESCRIPTORS

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Risk factors for falls in hospitalized adult patients: an integrative review

Severo

Almeida

Kuchenbecker

et al. 2014

Rev. esc. enferm. USP

View full text Add to dashboard Cite

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“…Many diverse applications in medicine have been developed and recent medical applications include carpal tunnel syndrome (based on history) [21], predicting recurrence of kidney stones [22], predicting symptomatic cerebral vasospasm after aneurysmal subarachnoid hemorrhage [23], identification of critical factors in patient falls [24], medical disease estimation [25], thrombotic formation in mechanical heart valves [26], decision making for fine- needle aspiration diagnosis of thyroid malignancy [27], transmandibular joint internal derangements [28], and endoscopic ultrasound in the diagnosis of pancreatic masses [29]. …”

Section: Discussionmentioning

confidence: 99%

Use of an Artificial Neural Network for Diagnosis of Facial Pain Syndromes: An Update

McCartney

Weltin

Burchiel

2013

Stereotact Funct Neurosurg

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Background: Based on a classification scheme for facial pain syndromes and a binomial (yes/no) facial pain questionnaire, we previously reported on the ability of an artificial neural network (ANN) to recognize and correctly diagnose patients with different facial pain syndromes. Objectives: We now report on an updated questionnaire, the development of a secure web-based neural network application and details of ANNs trained to diagnose patients with different facial pain syndromes. Methods: Online facial pain questionnaire responses collected from 607 facial pain patients (395 female, 65%, ratio F/M 1.86/1) over 5 years and 7 months were used for ANN training. Results: Sensitivity and specificity of the currently running ANN for trigeminal neuralgia type 1 and trigeminal neuralgia type 2 are 92.4 and 62.5% and 87.8 and 96.4%, respectively. Sensitivity and specificity are 86.7 and 95.2% for trigeminal neuropathic pain, 0 and 100% for trigeminal deafferentation pain and 100% for symptomatic trigeminal neuralgia and postherpetic neuralgia. Sensitivity is 50% for nervus intermedius neuralgia (NIN) and 0% for atypical facial pain (AFP), glossopharyngeal neuralgia (GPN) and temporomandibular joint disorder (TMJ). Specificity for AFP, NIN and TMJ is 99% and for GPN, 100%. Conclusions: We demonstrate the utilization of question-based historical self-assessment responses used as inputs to design an ANN for the purpose of diagnosing facial pain syndromes (outputs) with high accuracy.

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“…Some researchers have explored the use of data mining in the development of a decision support system to manage health care services [4]. The others have provided the outcome of mining methods in the value of quality improvement [5]. In 2014, the US Federal government spent 1.1 trillion for Medicare and Medicaid.…”

Section: Introductionmentioning

confidence: 99%