Excess mortality caused by medical injury

Medication Errors in Injured Patients

Trauma patients are vulnerable to medication error given multiple handoffs throughout the hospital. The purpose of this study was to assess trends in medication errors in trauma patients and the role these errors play in patient outcomes. Injured adults admitted from 2009 to 2015 to a Level I trauma center were included. Medication errors were determined based on a nurse-driven, validated, and prospectively maintained database. Multivariable logistic regression modeling was used to control for differences between groups. Among 15,635 injured adults admitted during the study period, 132 patients experienced 243 errors. Patients who experienced errors had significantly worse injury severity, lower Glasgow Coma Scale scores and higher rates of hypotension on admission, and longer lengths of stay. Before adjustment, mortality was similar between groups but morbidity was higher in the medication error group. After risk adjustment, there were no significant differences in morbidity or mortality between the groups. Medication errors in trauma patients tend to occur in significantly injured patients with long hospital stays. Appropriate adjustment when studying the impact of medical errors on patient outcomes is important.

Healthy Life-Years Lost and Excess Bed-Days Due to 6 Patient Safety Incidents: Empirical Evidence From English Hospitals

BACKGROUND

There is little satisfactory evidence on the harm of safety incidents to patients, in terms of lost potential health and life-years.

OBJECTIVE

To estimate the healthy life-years (HLYs) lost due to 6 incidents in English hospitals between the years 2005/2006 and 2009/2010, to compare burden across incidents, and estimate excess bed-days.

RESEARCH DESIGN

The study used cross-sectional analysis of the medical records of all inpatients treated in 273 English hospitals. Patients with 6 types of preventable incidents were identified. Total attributable loss of HLYs was estimated through propensity score matching by considering the hypothetical remaining length and quality of life had the incident not occurred.

RESULTS

The 6 incidents resulted in an annual loss of 68 HLYs and 934 excess bed-days per 100,000 population. Preventable pressure ulcers caused the loss of 26 HLYs and 555 excess bed-days annually. Deaths in low-mortality procedures resulted in 25 lost life-years and 42 bed-days. Deep-vein thrombosis/pulmonary embolisms cost 12 HLYs, and 240 bed-days. Postoperative sepsis, hip fractures, and central-line infections cost <6 HLYs and 100 bed-days each.

DISCUSSION

The burden caused by the 6 incidents is roughly comparable with the UK burden of Multiple Sclerosis (80 DALYs per 100,000), HIV/AIDS and Tuberculosis (63 DALYs), and Cervical Cancer (58 DALYs). There were marked differences in the harm caused by the incidents, despite the public attention all of them receive. Decision makers can use the results to prioritize resources into further research and effective interventions.

Preventability of death in a medical intensive care unit at a university hospital in a developing country

Objective:

To determine the incidence and characteristics of preventable in-ICU deaths.

Materials and Methods:

A one-year observational study was conducted in a medical ICU of a teaching hospital. All patients who died in medical ICU beyond 24 h were analyzed and reviewed during daily medical meeting. A death was considered preventable when it would not have occurred if the patient had received ordinary standards of care appropriate for the time of study. Preventability of death was classified by using a 1-6 point preventability scale. The types of medical errors causing preventable in-ICU deaths and the contributory factors to deaths were identified.

Results:

120 deaths (47 ± 19 years, 57 months-63 weeks) were analyzed (mortality: 23%; 95% confidence interval (CI):15-31%). At admission, Acute Physiology and Chronic Health Evaluation (APACHE) II score was 18 ± 7.6 and Charlson comorbidity index was 1.3 ± 1.6. The main diagnosis was infectious disease (57%) and respiratory disease (23%). The median period between the ICU admission and death was 5 days. The rate of preventable in-ICU deaths was 14.1% (17/120). The most common medical errors related to occurrence of preventable in-ICU deaths were therapeutic error (52.9%) and inappropriate technical procedure (23.5%). The preventable in-ICU deaths were associated with inadequate training or supervision of clinical staff (58.8%), no protocol (47.1%), inadequate functioning of hospital departments (29.4%), unavailable equipment (23.5%), and inadequate communication (17.6%).

Conclusion:

According to our study, one to two in-ICU deaths would be preventable per month. Our results suggest that the implementation of supervision and protocols could improve outcomes for critically ill patients.

Medical adverse events in elderly hospitalized patients: a prospective study

OBJECTIVES

To determine the frequency of medical adverse events in elderly patients admitted to an acute care geriatric unit, the predictive factors of occurrence, and the correlation between adverse events and hospital mortality rates.

METHODS

This prospective study included 171 admissions of patients aged 60 years and older in the acute care geriatric unit in a teaching hospital in Brazil between 2007 and 2008. The following variables were assessed at admission: the patient age, gender, number of prescription drugs, geriatric syndromes (e.g., immobility, postural instability, dementia, depression, delirium, and incontinence), comorbidities, functional status (evaluated with the Katz Index of Independence in Activities of Daily Living), and severity of illness (evaluated with the Simplified Acute Physiology Score Il). The incidence of delirium, infection, mortality, and the prescription of potentially inappropriate medications (based on the Beers criteria) were assessed during hospitalization. An observer who was uninvolved in patient care reported the adverse events.

RESULTS

The mean age of the sample was 78.12 years. A total of 187 medical adverse events occurred in 94 admissions (55%). The predictors of medical adverse events were undetermined. Compared with the patients with no adverse events, the patients with medical adverse events had a significantly longer hospital stay (21.41 ± 15.08 days versus 10.91 ± 7.21 days) and a higher mortality rate (39 deaths [41.5%] versus 17 deaths [22.1%]). Mortality was significantly predicted by the Simplified Acute Physiology Score II score (odds ratio [OR] = 1.13, confidence interval [CI] 95%, 1.07 to 1.20), the Katz score (OR=1.47, CI 95%, 1.18 to 1.83), and medical adverse events (OR = 3.59, CI 95%, 1.55 to 8.30).

CONCLUSION

Medical adverse events should be monitored in every elderly hospitalized patient because there is no risk profile for susceptible patients, and the consequences of adverse events are serious, sometimes leading to longer hospital stays or even death.

Preventable drug related mortality in a Swedish population

PURPOSE

Several studies indicate that the medical burden of fatal adverse drug reactions (FADRs) is significant, but the preventability of FADRs in the general population is largely unknown. The aim of this study was to determine the proportion of preventable FADRs and preventable fatal drug poisonings (FDPs) in a Swedish population.

METHODS

Previously, a population-based sample of 1574 deceased subjects was scrutinised for FADRs and FDPs using relevant case records, including death certificates, medical charts and medico-legal files. Forty-nine cases (3%) of FADRs and nine cases (0.6%) of FDPs were identified in 57 subjects. In this study, the preventability of all these identified FADRs and FDPs was evaluated by clinical experts in a stepwise manner, applying a set of predefined and well established preventability criteria. Only cases for which consensus was achieved were included in the study.

RESULTS

Of 49 FADRs, 14% (seven fatalities) was considered definitely or possibly preventable and four of these were due to the presence of a contraindication for the drug. All nine FDPs were considered possibly preventable. As one subject had a combination of an FADR and an FDP, a total of 15 persons (26%) were considered having a definitely or possibly preventable FADR or FDP, corresponding to 0.95% of all deceased subjects in Sweden.

CONCLUSIONS

The results of this study indicate that approximately one fourth of FADRs and FDPs could be prevented. Therefore, an increased awareness of the possibility to reduce the risk of fatal events due to pharmaceutical drugs is warranted.

Association between hospital-reported Leapfrog Safe Practices Scores and inpatient mortality

CONTEXT

The Leapfrog Hospital Survey allows hospitals to self-report the steps they have taken toward implementing the Safe Practices for Better Healthcare endorsed by the National Quality Forum. The Leapfrog Group currently ranks hospital performance on the safe practices initiative by quartiles and presents this information to the public on its Web site. It is unknown how well a hospital's resulting Safe Practices Score (SPS) correlates with outcomes such as inpatient mortality.

OBJECTIVE

To determine the relationship between hospitals' SPSs and risk-adjusted inpatient mortality rates.

DESIGN, SETTING, AND PARTICIPANTS

Observational analysis of discharge data for all urban US hospitals completing the 2006 safe practices initiative and identifiable in the Nationwide Inpatient Sample. Leapfrog provided an SPS for each hospital as well as 3 alternative scores based on shorter versions of the original survey. Hierarchical logistic regression was used to determine the relationship between quartiles of SPS and risk-adjusted inpatient mortality, after adjusting for hospital discharge volume and teaching status. Subgroup analyses were performed using data from patients older than 65 years and patients with 5% or greater expected mortality risk.

MAIN OUTCOME MEASURES

Inpatient risk-adjusted mortality by quartiles of survey score.

RESULTS

Of 1075 hospitals completing the 2006 Safe Practices Survey, 155 (14%) were identifiable in the National Inpatient Sample (1,772,064 discharges). Raw observed mortality in the primary sample was 2.09%. Fully adjusted mortality rates by quartile of SPS, from lowest to highest, were 1.97% (95% confidence interval [CI], 1.78%-2.18%), 2.04% (95% CI, 1.84%-2.25%), 1.96% (95% CI, 1.77%-2.16%), and 2.00% (95% CI, 1.80%-2.22%) (P = .99 for linear trend). Results were similar in the subgroup analyses. None of the 3 alternative survey scores was associated with risk-adjusted inpatient mortality, although P values for linear trends were lower (.80, .20, and .11).

CONCLUSION

In this sample of hospitals that completed the 2006 Safe Practices Survey, survey scores were not significantly associated with risk-adjusted inpatient mortality.