7 research outputs found

    Nurse staffing, direct nursing care hours and patient mortality in Taiwan: the longitudinal analysis of hospital nurse staffing and patient outcome study

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    <p>Abstract</p> <p>Background</p> <p>Studies over the past decades have shown an association between nurse staffing and patient outcomes, however, most of these studies were conducted in the West. Accordingly, the purpose of this study aimed to provide an overview of the research/evidence base which has clarified the relationship between nurse staffing and patient mortality of acute care hospital wards under a universal health insurance system and attempted to provide explanations for some of the phenomena that are unique in Taiwan.</p> <p>Methods</p> <p>Through stratified random sampling, a total of 108 wards selected from 32 hospitals in Taiwan were collected over a consecutive seven month period. The mixed effect logit model was used to explore the relationship between nurse staffing and patient mortality.</p> <p>Results</p> <p>The medians of direct-nursing-care-hour, and nurse manpower were 2.52 h, and 378 persons, respectively. The OR for death between the long direct-nursing-care-hour (> median) group and the short direct-nursing-care-hour (≦median) group was 0.393 (95% CI = [0.245, 0.617]). The OR for death between the high (> median) and the low (≦median) nurse manpower groups was 0.589 (95% CI = [0.381, 0.911]).</p> <p>Conclusions</p> <p>Findings from this study demonstrate an association of nurse staffing and patient mortality and are consistent with findings from similar studies. These findings have policy implications for strengthening the nursing profession, nurse staffing, and the hospital quality associated with nursing. Additional research is necessary to demonstrate adequate nurse staffing ratios of different wards in Taiwan.</p

    Characteristics and Circumstances of Falls in a Hospital Setting: A Prospective Analysis

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    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

    A Case-control Study of Patient, Medication, and Care-related Risk Factors for Inpatient Falls

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    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

    Are patient falls in the hospital associated with lunar cycles: a retrospective observational study

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    BACKGROUND: Falls and associated negative outcomes in hospitalized patients are of significant concerns. The etiology of hospital inpatient falls is multifactorial, including both intrinsic and extrinsic factors. Anecdotes from clinical practice exist in which health care professionals express the idea that the number of patient falls increases during times of full moon. The aim of this study was to examine in-hospital patient fall rates and their associations with days of the week, months, seasons and lunar cycles. METHODS: 3,842 fall incident reports of adult in-patients who fell while hospitalized in a 300-bed urban public hospital in Zurich, Switzerland were included. Adjusted fall rates per 1'000 patient days were compared with days of the week, months, and 62 complete lunar cycles from 1999 to 2003. RESULTS: The fall rate per 1000 patient days fluctuated slightly over the entire observation time, ranging from 8.4 falls to 9.7 falls per month (P = 0.757), and from 8.3 falls on Mondays to 9.3 falls on Saturdays (P = 0.587). The fall rate per 1000 patient days within the lunar days ranged from 7.2 falls on lunar day 17 to 10.6 falls on lunar day 20 (P = 0.575). CONCLUSION: The inpatient fall rates in this hospital were neither associated with days of the week, months, or seasons nor with lunar cycles such as full moon or new moon. Preventive strategies should be focused on patients' modifiable fall risk factors and the provision of organizational conditions which support a safe hospital environment
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