939 resultados para Discharge lamps
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Background: The aim of this study was to evaluate how hospital capacity was managed focusing on standardizing the admission and discharge processes. Methods: This study was set in a 900-bed university affiliated hospital of the National Health Service, near Barcelona (Spain). This is a cross-sectional study of a set of interventions which were gradually implemented between April and December 2008. Mainly, they were focused on standardizing the admission and discharge processes to improve patient flow. Primary administrative data was obtained from the 2007 and 2009 Hospital Database. Main outcome measures were median length of stay, percentage of planned discharges, number of surgery cancellations and median number of delayed emergency admissions at 8:00¿am. For statistical bivariate analysis, we used a Chi-squared for linear trend for qualitative variables and a Wilcoxon signed ranks test and a Mann¿Whitney test for non-normal continuous variables. Results:The median patients' global length of stay was 8.56 days in 2007 and 7.93 days in 2009 (p<0.051). The percentage of patients admitted the same day as surgery increased from 64.87% in 2007 to 86.01% in 2009 (p<0.05). The number of cancelled interventions due to lack of beds was 216 patients in 2007 and 42 patients in 2009. The median number of planned discharges went from 43.05% in 2007 to 86.01% in 2009 (p<0.01). The median number of emergency patients waiting for an in-hospital bed at 8:00¿am was 5 patients in 2007 and 3 patients in 2009 (p<0.01). Conclusions: In conclusion, standardization of admission and discharge processes are largely in our control. There is a significant opportunity to create important benefits for increasing bed capacity and hospital throughput.
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Stage-discharge relations constitute a viable, alternative technique for estimating accurately flow for ungaged sites. In this research, we have utilized pressure transducers and Large Scale Particle Image Velocimetry techniques to develop stage-discharge relations at eleven sites in the Hungry Canyon Area (HCA) of southwestern Iowa under different hydrologic conditions. We have employed these data to calibrate and verify an established hydrologic model and then we have used this model to provide a stage discharge relation for different hydrologic conditions (i.e. rating curves). The benefits of the project are numerous including that the discharge data will be used for a number of purposes, including operational decision making in the HCA about the design of water-control and conveyance structures, input for hydraulic and hydrologic models, and calculation of sediment and other water quality constituents transport and “loads”, and for decision making. This project has also pointed out the difficulties in measuring flows in ungaged streams with ice jams, steep banks, erodible beds, and floating debris.
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Extended pharmacological venous thromboembolism (VTE) prophylaxis beyond discharge is recommended for patients undergoing high-risk surgery. We prospectively investigated prophylaxis in 1,046 consecutive patients undergoing major orthopaedic (70%) or major cancer surgery (30%) in 14 Swiss hospitals. Appropriate in-hospital prophylaxis was used in 1,003 (96%) patients. At discharge, 638 (61%) patients received prescription for extended pharmacological prophylaxis: 564 (77%) after orthopaedic surgery, and 74 (23%) after cancer surgery (p < 0.001). Patients with knee replacement (94%), hip replacement (81%), major trauma (80%), and curative arthroscopy (73%) had the highest prescription rates for extended VTE prophylaxis; the lowest rates were found in patients undergoing major surgery for thoracic (7%), gastrointestinal (19%), and hepatobiliary (33%) cancer. The median duration of prescribed extended prophylaxis was longer in patients with orthopaedic surgery (32 days, interquartile range 14-40 days) than in patients with cancer surgery (23 days, interquartile range 11-30 days; p<0.001). Among the 278 patients with an extended prophylaxis order after hip replacement, knee replacement, or hip fracture surgery, 120 (43%) received a prescription for at least 35 days, and among the 74 patients with an extended prophylaxis order after major cancer surgery, 20 (27%) received a prescription for at least 28 days. In conclusion, approximately one quarter of the patients with major orthopaedic surgery and more than three quarters of the patients with major cancer surgery did not receive prescription for extended VTE prophylaxis. Future effort should focus on the improvement of extended VTE prophylaxis, particularly in patients undergoing major cancer surgery.
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Abstract
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Objective: To investigate the relationship between falls efficacy at admission and functional status reported one month after discharge from post-acute rehabilitation in a cohort of elderly patients. Methods: Participants were elderly patients admitted to postacute rehabilitation in an academic geriatric facility. Data on demographics and affective status were collected upon admission; functional status and gait speed were measured at admission and at discharge; self-reported functional status and history of falls since discharge were collected one month after discharge (follow-up). Falls efficacy was measured using the Fall Efficacy Scale, that assesses confidence in performing 12 activities of daily living without falling (range 0 to 100, higher score indicating higher confidence). Patients were classified using the median FES score at baseline (95) as cut-off to divide the population into "confident" and "fearful" groups. Results: Participants' (N=180, mean age 81.3±7.1 years, 75.6% women) mean FES score was 92.3±8.7 at baseline (range 60-100). Basic ADL score averaged 3.5±1.6 at baseline, 4.7±1.3 at discharge, and 5.5±0.7 at follow-up (self-reported). Baseline FES score was positively correlated with basic ADL at follow-up (rho=0.35, p<.001). At follow-up, 58.7% of the patients were fully independent in basic ADL, this proportion being significantly higher in confident than fearful patients (70.7% vs 42.4%, p<.001). Compared to confident patients, those fearful had significantly lower odds (OR 0.3, 95%CI 0.2-0.6, p<.001) to report full independence at follow-up. This relationship remained (adjOR = 0.4, 95%CI 0.2-0.8, p=.01) after controlling for demographics, baseline gait speed, depressive symptoms, functional status at discharge, and history of falls since discharge. Conclusion: In this cohort of older rehab patients, poor falls efficacy at admission was associated with lower function reported one month after discharge even after controlling for initial mobility performance and functional status at discharge. Further studies should determine whether interventions aiming at falls efficacy improvement will also result in improved function in fearful subjects undergoing rehabilitation.
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An involuntary discharge from a long-term care (LTC) facility occurs when the facility provides a 30-day written notice to a resident informing him/her of the need to move out of the facility. The notice must set out the reasons for the transfer or discharge as well as state the effective date, location of transfer or discharge, statement of appeal rights and the contact information (name, address and telephone number) for the Office of the State Long-Term Care Ombudsman.
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AIMS AND OBJECTIVES: To evaluate the reliability and the factor structure of the Readiness for Hospital Discharge Scale - French version. BACKGROUND: The patient's perspective is essential when assessing risk for adverse events at hospital discharge. Developed in the USA, the Readiness for Hospital Discharge Scale is the only instrument that measures an individual's self-perception of readiness before leaving the hospital. A French version of the Readiness for Hospital Discharge Scale was developed and validated. DESIGN: Cross-sectional study. METHODS: A convenience sample of 265 older inpatients from four medical units was selected. The translation and cultural adaptation of the scale involved experts in gerontology and the French language and included back translation. The items were semantically evaluated and pretested in 10 older inpatients. The scale's psychometric properties were internally validated by using confirmatory and exploratory factor analyses. Reliability was assessed by examining the internal consistency of its items. RESULTS: Goodness-of-fit indices of the confirmatory factor analyses were not adequate, but reliability was acceptable (Cronbach's α = 0·80). Exploratory factor analysis of the French version provided results close to those described for the English version, with three similar subscales (physical and emotional readiness, coping with medical treatment and personal care), whereas the initially described Expected Support subscale was not identified in the French version. CONCLUSION: The Readiness for Hospital Discharge Scale - French version appears to be partially consistent with its original English version, but requires additional adaptation to fully take into account the Swiss context and culture to achieve its original aim. RELEVANCE TO CLINICAL PRACTICE: Assessing patient readiness for hospital discharge before leaving hospital could help nurses to improve the discharge planning process and achieve better patient preparedness and care coordination.
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Objectif. Analyser les déterminants de la prolongation des séjours hospitaliers en service de soins de suite et réadaptation gériatrique (SSRG) et identifier les indicateurs du devenir des patients après leur sortie. Méthode. Étude rétrospective au CHRU de Strasbourg de l'ensemble des séjours de durée supérieure à 90 jours entre le 1 janvier 2012 et le 30 septembre 2013. L'ensemble des données sociodémographiques, descriptives des séjours et de l'état de santé des patients ont été analysées. Les patients ont été suivis 9 mois après leur sortie. Les réhospitalisations, l'admission en institution et le décès ont été informés par un contact téléphonique auprès du médecin traitant ou de la famille. Résultats. Quarante-six séjours ont été analysés. Les patients étaient à 68,0 % des femmes. La moyenne d'âge était de 82,9 ± 5,8 ans. Quatre-vingt-dix-huit pour cent d'entre eux vivaient à domicile avant l'admission en milieu hospitalier. Les raisons justifiant la prolongation étaient d'ordre médical (60,8 %), psychique (45,6 %), social (65,2 %) et liées à la difficulté de trouver une solution d'aval (58,7 %). À la fin de leur séjour, 9 patients ont pu regagner leur domicile et 37 ont été admis directement en institution. Durant la période de suivi, 17 patients ont été réhospitalisés au moins une fois et 3 jusqu'à trois fois. Au 9e mois, 9 patients étaient décédés dans un délai moyen de 75 jours après la sortie du SSRG. Les résultats des analyses unifactorielles et multivariées ont permis d'identifier des indicateurs d'évolution défavorable (décès et/ou réhospitalisation). Aucune des variables sociodémographiques ou de syndrome gériatrique n'a été identifiée. Par contre un « motif d'hospitalisation pour une maladie infectieuse », ou pour « un trouble de la marche ou une chute », une « prolongation du séjour en SSRG pour raison médicale » et un « séjour prolongé en court séjour » étaient les facteurs identifiés. Conclusion. Dans la tendance actuelle à améliorer la rentabilité de l'utilisation des ressources de santé, ces résultats rappellent qu'il est important de maintenir un juste équilibre entre utilisation raisonnée des ressources et les besoins spécifiques des patients âgés.
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Background and objective: We aimed to identify the frequency of, reasons for and risk factors associated with additional healthcare visits and rehospitalizations (healthcare interactions) by patients with community-acquired pneumonia (CAP) within 30 days of hospital discharge. Methods: Observational analysis of a prospective cohort of adults hospitalized with CAP at a tertiary hospital (2007-2009). Additional healthcare interactions were defined as the visits to a primary care centre or emergency department and hospital readmissions within 30 days of discharge. Results: Of the 934 hospitalized patients with CAP, 282 (34.1%) had additional healthcare interactions within 30 days of hospital discharge: 149 (52.8%) needed an additional visit to their primary care centre and 177 (62.8%) attended the emergency department. Seventy-two (25.5%) patients were readmitted to hospital. The main reasons for additional healthcare interactions were worsening of signs or symptoms of CAP and new or worsening comorbid conditions independent of pneumonia, mainly cardiovascular and pulmonary diseases. The only independent factor associated with visits to primary care centre or emergency department was alcohol abuse (odds ratio [OR] = 1.65; 95% confidence interval [CI]: 1.03-2.64). Prior hospitalization (≤ 90 days) (OR = 2.47; 95% CI: 1.11-5.52) and comorbidities (OR = 3.99; 95% CI: 1.12-14.23) were independently associated with rehospitalization. Conclusions: Additional healthcare visits and rehospitalizations within 30 days of hospital discharge are common in patients with CAP. This is mainly due to a worsening of signs or symptoms of CAP and/or comorbid conditions. These findings may have implications for discharge planning and follow-up of patients with CAP.
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Background and objective: We aimed to identify the frequency of, reasons for and risk factors associated with additional healthcare visits and rehospitalizations (healthcare interactions) by patients with community-acquired pneumonia (CAP) within 30 days of hospital discharge. Methods: Observational analysis of a prospective cohort of adults hospitalized with CAP at a tertiary hospital (2007-2009). Additional healthcare interactions were defined as the visits to a primary care centre or emergency department and hospital readmissions within 30 days of discharge. Results: Of the 934 hospitalized patients with CAP, 282 (34.1%) had additional healthcare interactions within 30 days of hospital discharge: 149 (52.8%) needed an additional visit to their primary care centre and 177 (62.8%) attended the emergency department. Seventy-two (25.5%) patients were readmitted to hospital. The main reasons for additional healthcare interactions were worsening of signs or symptoms of CAP and new or worsening comorbid conditions independent of pneumonia, mainly cardiovascular and pulmonary diseases. The only independent factor associated with visits to primary care centre or emergency department was alcohol abuse (odds ratio [OR] = 1.65; 95% confidence interval [CI]: 1.03-2.64). Prior hospitalization (≤ 90 days) (OR = 2.47; 95% CI: 1.11-5.52) and comorbidities (OR = 3.99; 95% CI: 1.12-14.23) were independently associated with rehospitalization. Conclusions: Additional healthcare visits and rehospitalizations within 30 days of hospital discharge are common in patients with CAP. This is mainly due to a worsening of signs or symptoms of CAP and/or comorbid conditions. These findings may have implications for discharge planning and follow-up of patients with CAP.
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Background and objective: We aimed to identify the frequency of, reasons for and risk factors associated with additional healthcare visits and rehospitalizations (healthcare interactions) by patients with community-acquired pneumonia (CAP) within 30 days of hospital discharge. Methods: Observational analysis of a prospective cohort of adults hospitalized with CAP at a tertiary hospital (2007-2009). Additional healthcare interactions were defined as the visits to a primary care centre or emergency department and hospital readmissions within 30 days of discharge. Results: Of the 934 hospitalized patients with CAP, 282 (34.1%) had additional healthcare interactions within 30 days of hospital discharge: 149 (52.8%) needed an additional visit to their primary care centre and 177 (62.8%) attended the emergency department. Seventy-two (25.5%) patients were readmitted to hospital. The main reasons for additional healthcare interactions were worsening of signs or symptoms of CAP and new or worsening comorbid conditions independent of pneumonia, mainly cardiovascular and pulmonary diseases. The only independent factor associated with visits to primary care centre or emergency department was alcohol abuse (odds ratio [OR] = 1.65; 95% confidence interval [CI]: 1.03-2.64). Prior hospitalization (≤ 90 days) (OR = 2.47; 95% CI: 1.11-5.52) and comorbidities (OR = 3.99; 95% CI: 1.12-14.23) were independently associated with rehospitalization. Conclusions: Additional healthcare visits and rehospitalizations within 30 days of hospital discharge are common in patients with CAP. This is mainly due to a worsening of signs or symptoms of CAP and/or comorbid conditions. These findings may have implications for discharge planning and follow-up of patients with CAP.
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Nursing discharge planning for elderly medical inpatients is an essential element of care to ensure optimal transition to home and to reduce post-discharge adverse events. The objectives of this cross-sectional study were to investigate the association between nursing discharge planning components in older medical inpatients, patients' readiness for hospital discharge and unplanned health care utilization during the following 30 days. Results indicated that no patients benefited from comprehensive discharge planning but most benefited from less than half of the discharge planning components. The most frequent intervention recorded was coordination, and the least common was patients' participation in decisions regarding discharge. Patients who received more nursing discharge components felt significantly less ready to go home and had significantly more readmissions during the 30-day follow-up period. This study highlights large gaps in the nursing discharge planning process in older medical inpatients and identifies specific areas where improvements are most needed.
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Early readmission is the major success indicator of the transition between hospital and home. Patients admitted with heart failure reach a 20% rate. Potentially avoidable readmissions, defined as unpredictable and related to a known condition during index hospitalization, represent the improvement margin. For these latter, implementation of specific interventions can be effective. Complex interventions on transition, including several modalities and seeking to encourage patient autonomy seem more effective than others. We describe two models: a pragmatic one developed in a regional hospital, and a more complex one developed in a university hospital during the LEAR-HF study. In both cases, it is imperative to work on "medical liability": should it extend beyond discharge up to the threshold of the private practice?