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Stanley Birge

Publications and source records attributed to Stanley Birge.

4 recordsLinked to original sources

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↗

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↗

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↗

Gender influence on cognitive function after cardiac operation.

BACKGROUND: Women are at higher risk than men for stroke after cardiac operation. The purpose of this study was to evaluate for gender influences on the more common postoperative neurologic complication, cognitive dysfunction. METHODS: A standard battery of neuropsychological tests was administered to 117 patients (79 men and 38 women) the day before and again 4 to 6 weeks after cardiac operation. The battery assessed a broad array of cognitive domains, including attention, memory, executive function, and psychomotor processing speed. Analysis was performed only on patients with data from both testing sessions. Data were analyzed to assess for a dichotomous definition of postoperative cognitive impairment and to evaluate for factors influencing test results for specific cognitive domains. RESULTS: The frequency of one standard deviation decline on two or more cognitive tests compared with preoperative results (women, 10.7 % versus men, 9.9 %; p = 0.527), no decline, or one standard deviation improvement on each test postoperatively was no different between genders. After adjusting for age, gender, preexisting medical conditions, level of attained education, preoperative cognitive tests results, type of operation, and duration of cardiopulmonary bypass, female gender was independently associated with poorer performance postoperatively on visuospatial tasks. Other variables significantly related to postoperative cognitive function varied among the specific cognitive domains. CONCLUSIONS: These data suggest that, although the frequency of cognitive dysfunction after cardiac operation is similar for women and men, women appear more likely to suffer injury to brain areas subserving visuospatial processing. Risk factors for postoperative cognitive impairment vary depending on cognitive domain, suggesting multiple etiologies for this form of perioperative neurologic injury.

Cardiac Surgical Procedures↗