Abstract:The individual risk for incidents in critical patients is high. Many incidents did not harm patients, some caused damage and a few were related to the patient's death. Most incidents were considered avoidable.
“…In this study notifi ed incidents predominated in the age group from 13 to 59 years 377 (51.8 %), while patients over 60 years old were 303 (41.6%) of the notifi ed incidents. These statistics don't match with the data found in other research where incidents predominated in patients of more than 62 years old (16) .…”
Section: Departmentscontrasting
confidence: 95%
“…When analysing the incidents notifi ed in relation to gender, we observed that there was no signifi cant diff erence between men 377 (50.4%) and women 372 (49.6%), confi rming the Spanish study that didn't fi nd any significant diff erence between the genders (16) . In this study notifi ed incidents predominated in the age group from 13 to 59 years 377 (51.8 %), while patients over 60 years old were 303 (41.6%) of the notifi ed incidents.…”
Section: Departmentsmentioning
confidence: 57%
“…A study done in Spain shows that ME has a rate of 5.21%, revealing it to be one of the most frequent incident types (16) . Another study undertaken in fi ve Brazilian university hospitals reveals that one of the main causes for ME is drug administration using methods diff erent to those prescribed with 92 (6.5%) of the total of 1,425 MEs.…”
This study aimed to evaluate the incidents reported between the years 2008 and 2012, in a large hospital in southern Brazil. This is a retrospective study of documentary analysis, transverse and descriptive with a quantitative approach. Data was collected in march 2013, analyzed and presented as absolute and relative frequency. We identified 755 cases; this represented 1.1% of total hospitalizations. The higher frequency of reporting in inpatient units was 64.8%. The incident with the highest prevalence in this study was 45.4% falls, followed by medication error 16.7% and 16.2% other incidents. The low number of notifications can be related to the system adopted by the institution where the professional who notifies the incident needs to be identified.
“…In this study notifi ed incidents predominated in the age group from 13 to 59 years 377 (51.8 %), while patients over 60 years old were 303 (41.6%) of the notifi ed incidents. These statistics don't match with the data found in other research where incidents predominated in patients of more than 62 years old (16) .…”
Section: Departmentscontrasting
confidence: 95%
“…When analysing the incidents notifi ed in relation to gender, we observed that there was no signifi cant diff erence between men 377 (50.4%) and women 372 (49.6%), confi rming the Spanish study that didn't fi nd any significant diff erence between the genders (16) . In this study notifi ed incidents predominated in the age group from 13 to 59 years 377 (51.8 %), while patients over 60 years old were 303 (41.6%) of the notifi ed incidents.…”
Section: Departmentsmentioning
confidence: 57%
“…A study done in Spain shows that ME has a rate of 5.21%, revealing it to be one of the most frequent incident types (16) . Another study undertaken in fi ve Brazilian university hospitals reveals that one of the main causes for ME is drug administration using methods diff erent to those prescribed with 92 (6.5%) of the total of 1,425 MEs.…”
This study aimed to evaluate the incidents reported between the years 2008 and 2012, in a large hospital in southern Brazil. This is a retrospective study of documentary analysis, transverse and descriptive with a quantitative approach. Data was collected in march 2013, analyzed and presented as absolute and relative frequency. We identified 755 cases; this represented 1.1% of total hospitalizations. The higher frequency of reporting in inpatient units was 64.8%. The incident with the highest prevalence in this study was 45.4% falls, followed by medication error 16.7% and 16.2% other incidents. The low number of notifications can be related to the system adopted by the institution where the professional who notifies the incident needs to be identified.
“…The complexity of care for critical patients requires advanced technology and specialized professionals able to immediately intervene in any change in their clinical condition 1,2,3,4 . Intensive care units (ICU) concentrate patients with this profile, however, there is a high frequency of adverse events in hospital wards 5,6 .…”
This study sought to evaluate the occurrence of adverse events and their impacts on length of stay and mortality in an intensive care unit (ICU). This is a prospective study carried out in a teaching hospital in Rio de Janeiro, Brazil. The cohort included 355 patients over 18 years of age admitted to the ICU between August 1, 2011 and July 31, 2012. The process we used to identify adverse events was adapted from the method proposed by the Institute for Healthcare Improvement. We used a logistical regression to analyze the association between adverse event occurrence and death, adjusted by case severity. We confirmed 324 adverse events in 115 patients admitted over the year we followed. The incidence rate was 9.3 adverse events per 100 patients-day and adverse event occurrence impacted on an increase in length of stay (19 days) and in mortality (OR = 2.047; 95%CI: 1.172-3.570). This study highlights the serious problem of adverse events in intensive care and the risk factors associated with adverse event incidence.
“…James claimed that the Institute of Medicine's report in 2000 severely underestimated the prevalence of medical errors and their effects on morbidity and mortality [5]. Medical errors affected from 26.8 [1] to 58 % [6] of the patients, including one-third from medication errors alone [4], and may contribute to mortality [1]. Understanding medical errors is complex and involves country (or health care system), hospital, group (ICU culture and other ICU factors) and individual levels [7].…”
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