Biomedical subjects

Melissa J Krauss

Publications and source records attributed to Melissa J Krauss.

6 recordsLinked to original sources

PubMed2006

A new safety event reporting system improves physician reporting in the surgical intensive care unit.

BACKGROUND: Medical errors are common, and physicians have notably been poor medical error reporters. In the SICU, reporting was generally poor and reporting by physicians was virtually nonexistent. This study was designed to observe changes in error reporting in an SICU when a new card-based system (SAFE) was introduced. STUDY DESIGN: Before implementation of the SAFE reporting system, education was given to all SICU healthcare providers. The SAFE system was introduced into the SICU for a 9-month period from March 2003 through November 2003, to replace an underused online system. Data were collected from the SAFE card reports and the online reporting systems during introduction, removal, and reimplementation of these cards. Reporting rates were calculated as number of reported events per 1,000 patient days. RESULTS: Reporting rates increased from 19 to 51 reports per 1,000 patient days after the SAFE cards were introduced into the ICU (p</= 0.001). Physician reporting increased most, rising from 0.3 to 5.8 reports per 1,000 patient days; nursing reporting also increased from 18 to 39 reports per 1,000 patient days (both p</=0.001). When the SAFE cards were removed, physician reporting declined to 0 reports per 1,000 patient days (p=0.01) and rose to 8.1 (p=0.001) when the cards were returned, similar to nursing results. A higher proportion of physician reports were events that caused harm compared with no effect (p < 0.05). CONCLUSIONS: A card reporting system, combined with appropriate education, improved overall reporting in the SICU, especially among physician providers. Nurses were more likely to use reporting systems than were physicians. Physician reports were more likely to be of events that caused harm.

Adult↗

PubMed2005

Reporting and classification of patient safety events in a cardiothoracic intensive care unit and cardiothoracic postoperative care unit.

OBJECTIVES: The objective was to evaluate a new mechanism for reporting and classifying patient safety events to increase reporting and identify patient safety priorities. METHODS: A voluntary patient safety event reporting system accessible by all health care workers was implemented in the Cardiothoracic Intensive Care and Post Anesthesia Care Units. Information collected included patient identifiers; date, time, and location of report and event; type and description of event; and severity score. Narrative descriptions of events were analyzed and coded to describe when in the care process the event occurred, what occurred, and a causal classification of why the event occurred. RESULTS: A total of 163 reports describing 157 events were received. These included 121 events reported from the intensive care unit (25.3 reported events per 1000 patient-days), a 3-fold increase compared with the preexisting on-line reporting system. A total of 113 reports (69%) came from nurses, 31 from physicians (19%), and 10 from other staff (6%). A majority of events (85, 54%) reached the patient but caused no harm. Multiple causes were identified for the majority of events. The most frequent causes were related to human factors (48%) and organizational factors (34%). CONCLUSIONS: Health care workers were willing to use the patient safety event reporting system, which yielded a broad range of patient safety data. Patient safety events are multifaceted and often have multiple causal factors. Application of a causal classification model for patient safety event coding in the intensive care and preoperative and postoperative care units is feasible and facilitates local communication of important event-related information.

Adult↗

PubMed2005

Patterns and predictors of inpatient falls and fall-related injuries in a large academic hospital.

OBJECTIVES: Most research on hospital falls has focused on predictors of falling, whereas less is known about predictors of serious fall-related injury. Our objectives were to characterize inpatients who fall and to determine predictors of serious fall-related injury. METHODS: We performed a retrospective observational study of 1,082 patients who fell (1,235 falls) during January 2001 to June 2002 at an urban academic hospital. Multivariate analysis of potential risk factors for serious fall-related injury (vs no or minor injury) included in the hospital's adverse event reporting database was conducted with logistic regression to calculate adjusted odds ratios (aORs) with 95% confidence intervals (CI95) RESULTS: The median age of patients who fell was 62 years (interquartile range, 49-77 years), 50% were women, and 20% were confused. The hospital fall rate was 3.1 falls per 1,000 patient-days, which varied by service from 0.86 (women and infants) to 6.36 (oncology). Some (6.1%) of the falls resulted in serious injury, ranging by service from 3.1% (women and infants) to 10.9% (psychiatry). The most common serious fall-related injuries were bleeding or laceration (53.6%), fracture or dislocation (15.9%), and hematoma or contusion (13%). Patients 75 years or older (aOR, 3.2; CI95, 1.3-8.1) and those on the geriatric psychiatry floor (aOR, 2.8; CI95, 1.3-6.0) were more likely to sustain serious fall-related injuries. CONCLUSIONS: There is considerable variation in fall rates and fall-related injury percentages by service. More detailed studies should be conducted by floor or service to identify predictors of serious fall-related injury so that targeted interventions can be developed to reduce them.

Accidental Falls↗

PubMed2005

A case-control study of patient, medication, and care-related risk factors for inpatient falls.

OBJECTIVE: To comprehensively analyze potential risk factors for falling in the hospital and describe the circumstances surrounding falls. DESIGN: Case-control study. Data on potential risk factors and circumstances of the falls were collected via interviews with patients and/or nurses and review of adverse event reports, medical records, and nurse staffing records. SETTING: Large urban academic hospital. PATIENTS: Ninety-eight inpatients who fell and 318 controls matched on approximate length of stay until the index fall. MEASUREMENTS AND MAIN RESULTS: In a multivariate model of patient-related, medication, and care-related variables, factors that were significantly associated with an increased risk of falling included: gait/balance deficit or lower extremity problem (adjusted odds ratio [aOR], 9.0; 95% confidence interval [CI], 2.0 to 41.0), confusion (aOR, 3.6; 95% CI, 1.6 to 8.4), use of sedatives/hypnotics (aOR, 4.3; 95% CI, 1.6 to 11.5), use of diabetes medications (aOR, 3.2; 95% CI, 1.3 to 7.9), increasing patient-to-nurse ratio (aOR, 1.6; 95% CI, 1.2 to 2.0), and activity level of "up with assistance" compared with "bathroom privileges" (aOR, 8.7; 95% CI, 2.3 to 32.7). Urinary or stool frequency or incontinence was of borderline significance (aOR, 2.3; 95% CI, 0.99 to 5.6). Having one or more side rails raised was associated with a decreased risk of falling (aOR, 0.006; 95% CI, 0.001 to 0.024). CONCLUSIONS: Patient health status, especially abnormal gait or lower extremity problems, medications, as well as care-related factors, increase the risk of falling. Fall prevention programs should target patients with these risk factors and consider using frequently scheduled mobilization and toileting, and minimizing use of medications related to falling.

Accidental Falls↗

PubMed2004

Characteristics and circumstances of falls in a hospital setting: a prospective analysis.

OBJECTIVE: To describe the epidemiology of hospital inpatient falls, including characteristics of patients who fall, circumstances of falls, and fall-related injuries. DESIGN: Prospective descriptive study of inpatient falls. Data on patient characteristics, fall circumstances, and injury were collected through interviews with patients and/or nurses and review of adverse event reports and medical records. Fall rates and nurse staffing levels were compared by service. SETTING: A 1,300-bed urban academic hospital over 13 weeks. PATIENTS: All inpatient falls reported for medicine, cardiology, neurology, orthopedics, surgery, oncology, and women and infants services during the study period were included. Falls in the psychiatry service and falls during physical therapy sessions were excluded. MEASUREMENTS AND MAIN RESULTS: A total of 183 patients fell during the study period. The average age of patients who fell was 63.4 years (range 17 to 96). Many falls were unassisted (79%) and occurred in the patient's room (85%), during the evening/overnight (59%), and during ambulation (19%). Half of the falls (50%) were elimination related, which was more common in patients over 65 years old (83% vs 48%; P <.001). Elimination-related falls increased the risk of fall-related injury (adjusted odds ratio, 2.4; 95% confidence interval 1.1 to 5.3). The medicine and neurology services had the highest fall rates (both were 6.12 falls per 1,000 patient-days), and the highest patient to nurse ratios (6.5 and 5.3, respectively). CONCLUSIONS: Falls in the hospital affect young as well as older patients, are often unassisted, and involve elimination-related activities. Further studies are necessary to prevent hospital falls and reduce fall injury rates.

Accidental Falls↗

PubMed2003

Microcephaly: an epidemiologic analysis.

OBJECTIVE: This study was conducted to identify all risk factors that are associated with microcephaly and to quantify the magnitude of risk that is associated with these factors. STUDY DESIGN: This population-based case-control study used the Missouri Birth Defects Registry to identify 360 microcephaly cases and 3600 control cases during 1993 through 1999. Logistic regression was used to calculate adjusted odds ratios and 95% CIs. RESULTS: Significant risk factors for isolated microcephaly include alcohol use, inadequate weight gain during pregnancy, inadequate prenatal care, black race, and low education. Mothers with one previous live birth were protected against isolated microcephaly compared with nulliparous women. CONCLUSION: Our results suggest that microcephaly may arise from some preventable factors. These findings may be useful in aiding clinicians, patients, and policymakers in reducing the risk of microcephaly, a source of high perinatal mortality and morbidity rates.

Abnormalities, Multiple↗