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1.
Arch Cardiovasc Dis ; 114(5): 364-370, 2021 May.
Article in English | MEDLINE | ID: mdl-33541832

ABSTRACT

BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak had a direct impact on adult cardiac surgery activity, which systematically necessitates a postoperative stay in intensive care. AIM: To study the effect of the COVID-19 lockdown on cardiac surgery activity and outcomes, by making a comparison with the corresponding period in 2019. METHODS: This prospective observational cohort study compared adult cardiac surgery activity in our high-volume referral university hospital from 9 March to 10 May 2020 versus 9 March to 10 May 2019. Data were collected in our local certified database and a national database sponsored by the French society of thoracic and cardiovascular surgery. The primary study endpoints were operative mortality and postoperative complications. RESULTS: With 105 interventions in 2020, our activity dropped by 57% compared with the same period in 2019. Patients were at higher risk, with a significantly higher EuroSCORE II score (3.8±4.5% vs. 2.0±1.8%; P<0.001) and higher rates of active endocarditis (7.6% vs. 2.9%; P=0.047) and recent myocardial infarction (9.5% vs. 0%; P<0.001). The weight and priority of the interventions were significantly different in 2020 (P=0.019 and P<0.001, respectively). The rate of acute aortic syndromes was also significantly higher in 2020 (P<0.001). Operative mortality was higher during the lockdown period (5.7% vs. 1.7%; P=0.038). The postoperative course was more complicated in 2020, with more postoperative bleeding (P=0.003), mechanical circulatory support (P=0.032) and prolonged mechanical ventilation (P=0.005). Only two patients (1.8%) developed a positive status for severe acute respiratory syndrome coronavirus 2 after discharge. CONCLUSIONS: Adult cardiac surgery was heavily affected by the COVID-19 lockdown. A further modulation plan is necessary to improve outcomes and reduce postponed operations to decrease operative mortality and morbidity.


Subject(s)
COVID-19/epidemiology , Cardiac Surgical Procedures , Hospitals, High-Volume/statistics & numerical data , Pandemics , Quarantine , SARS-CoV-2 , Aged , Bed Conversion/statistics & numerical data , Cardiac Surgical Procedures/mortality , Cardiac Surgical Procedures/statistics & numerical data , Comorbidity , Cross Infection/epidemiology , Diagnosis-Related Groups , Elective Surgical Procedures/mortality , Elective Surgical Procedures/statistics & numerical data , Female , France/epidemiology , Heart Diseases/epidemiology , Heart Diseases/surgery , Hospitals, University/statistics & numerical data , Humans , Length of Stay/statistics & numerical data , Male , Middle Aged , Postoperative Complications/epidemiology , Procedures and Techniques Utilization , Prospective Studies , Recovery Room/statistics & numerical data , Time-to-Treatment , Waiting Lists
4.
Rev Esp Anestesiol Reanim (Engl Ed) ; 68(2): 114-116, 2021 Feb.
Article in English, Spanish | MEDLINE | ID: mdl-33371977
5.
Anaesth Crit Care Pain Med ; 39(6): 709-715, 2020 Dec.
Article in English | MEDLINE | ID: mdl-33031979

ABSTRACT

BACKGROUND: Whereas 5415 Intensive Care Unit (ICU) beds were initially available, 7148 COVID-19 patients were hospitalised in the ICU at the peak of the outbreak. The present study reports how the French Health Care system created temporary ICU beds to avoid being overwhelmed. METHODS: All French ICUs were contacted for answering a questionnaire focusing on the available beds and health care providers before and during the outbreak. RESULTS: Among 336 institutions with ICUs before the outbreak, 315 (94%) participated, covering 5054/5531 (91%) ICU beds. During the outbreak, 4806 new ICU beds (+95% increase) were created from Acute Care Unit (ACU, 2283), Post Anaesthetic Care Unit and Operating Theatre (PACU & OT, 1522), other units (374) or real build-up of new ICU beds (627), respectively. At the peak of the outbreak, 9860, 1982 and 3089 ICU, ACU and PACU beds were made available. Before the outbreak, 3548 physicians (2224 critical care anaesthesiologists, 898 intensivists and 275 from other specialties, 151 paediatrics), 1785 residents, 11,023 nurses and 6763 nursing auxiliaries worked in established ICUs. During the outbreak, 2524 physicians, 715 residents, 7722 nurses and 3043 nursing auxiliaries supplemented the usual staff in all ICUs. A total number of 3212 new ventilators were added to the 5997 initially available in ICU. CONCLUSION: During the COVID-19 outbreak, the French Health Care system created 4806 ICU beds (+95% increase from baseline), essentially by transforming beds from ACUs and PACUs. Collaboration between intensivists, critical care anaesthesiologists, emergency physicians as well as the mobilisation of nursing staff were primordial in this context.


Subject(s)
COVID-19/epidemiology , Hospital Bed Capacity/statistics & numerical data , Intensive Care Units/statistics & numerical data , National Health Programs , Pandemics , SARS-CoV-2 , Bed Conversion/statistics & numerical data , France/epidemiology , Health Care Surveys/statistics & numerical data , Hospitalization/statistics & numerical data , Humans , Personnel Staffing and Scheduling/statistics & numerical data , Personnel, Hospital/supply & distribution , Retrospective Studies , Ventilators, Mechanical/supply & distribution
7.
Actas Urol Esp (Engl Ed) ; 44(7): 450-457, 2020 Sep.
Article in Spanish | MEDLINE | ID: mdl-32456883

ABSTRACT

The COVID-19 pandemic caused by the SARS-CoV-2 virus has caused tens of thousands of deaths in Spain and has managed to breakdown the healthcare system hospitals in the Community of Madrid, largely due to its tendency to cause severe pneumonia, requiring ventilatory support. This fact has caused our center to collapse, with 130% of its beds occupied by COVID-19 patients, thus causing the absolute cessation of activity of the urology service, the practical disappearance of resident training programs, and the incorporation of a good part of the urology staff into the group of medical personnel attending these patients. In order to recover from this extraordinary level of suspended activity, we will be obliged to prioritize pathologies based on purely clinical criteria, for which tables including the relevance of each pathology within each area of urology are being proposed. Technology tools such as online training courses or surgical simulators may be convenient for the necessary reestablishment of resident education.


Subject(s)
Bed Occupancy/statistics & numerical data , Betacoronavirus , Coronavirus Infections/epidemiology , Pneumonia, Viral/epidemiology , Urology Department, Hospital/statistics & numerical data , Urology/statistics & numerical data , Ambulatory Care/statistics & numerical data , Bed Conversion/statistics & numerical data , COVID-19 , Coronavirus Infections/therapy , Humans , Internship and Residency , Pandemics , Patient Care Team/organization & administration , Patient Isolation , Pneumonia, Viral/therapy , SARS-CoV-2 , Spain/epidemiology , Urologic Surgical Procedures/statistics & numerical data , Urologists/supply & distribution , Urology/education , Urology/organization & administration , Urology Department, Hospital/organization & administration , Ventilators, Mechanical , Withholding Treatment/statistics & numerical data
11.
Med Care Res Rev ; 70(2): 206-17, 2013 Apr.
Article in English | MEDLINE | ID: mdl-23090568

ABSTRACT

Critical Access Hospitals (CAHs) receive cost-based reimbursement from Medicare for inpatient care, including post-acute skilled care provided in swing beds (skilled swing days). Because the reimbursement formula treats swing bed and acute days equally, there is concern that CAH skilled swing days are "overreimbursed" as compared with skilled days provided in other settings. The reimbursement formula is complex; thus, empirical estimates are needed to identify the marginal cost per day to the hospital and the implied Medicare expenditure per day, accounting for fixed cost transfers between services. Using Medicare cost report data, we find that Medicare paid, on average, $581 for the routine portion of a CAH skilled swing day in 2009--more than the estimated marginal cost of $262, but less than the 2009 average per diem of $1,302. Estimates varied widely across the 1,300 CAHs; therefore, payment policy changes would likely have a broad range of effects.


Subject(s)
Bed Conversion/economics , Critical Care/economics , Hospitals, Community/economics , Hospitals, Rural/economics , Medicare/economics , Bed Conversion/statistics & numerical data , Critical Care/statistics & numerical data , Hospital Costs/statistics & numerical data , Hospitals, Community/statistics & numerical data , Hospitals, Rural/statistics & numerical data , Humans , Medicare/statistics & numerical data , Reimbursement, Disproportionate Share/statistics & numerical data , United States
12.
Br J Nurs ; 14(8): 434-8, 2005.
Article in English | MEDLINE | ID: mdl-15924023

ABSTRACT

The admission of intensive care unit (ICU) overflow patients in the post anaesthesia care unit (PACU) has come about as a result of an increasing demand for ICU services, which is not followed by a respective increase in the number of available beds. This has raised many concerns from nurses, with extensive workload and lack of personnel being the most important. This study was conducted in the General University Hospital of Patras, Greece, from 1 January 2003 to 30 June 2004. Admissions of ICU patients in the PACU were recorded and Project Research in Nursing (PRN), a Canadian workload measurement system, was used to estimate nursing workload. One hundred and three ICU patients were admitted and they stayed for a total time of 2812 hours. PRN scores of these ICU patients were much higher than for post anaesthesia patients. Clinically important increases of total PRN score, total care time and nursing personnel needs were evident in the presence of an ICU overflow patient during all shifts. Unless there is the appropriate number of personnel, increases in total care time are likely to lead to the neglect of post anaesthesia patients' needs.


Subject(s)
Bed Conversion/statistics & numerical data , Intensive Care Units/organization & administration , Nursing Staff, Hospital/organization & administration , Postanesthesia Nursing/organization & administration , Recovery Room/organization & administration , Workload/statistics & numerical data , Aged , Female , Greece , Health Services Needs and Demand , Hospitals, General , Hospitals, University , Humans , Length of Stay/statistics & numerical data , Male , Middle Aged , Nursing Administration Research , Patient Admission/statistics & numerical data , Personnel Staffing and Scheduling/organization & administration , Time Factors , Time and Motion Studies
13.
Health Serv Res ; 36(2): 421-42, 2001 Jun.
Article in English | MEDLINE | ID: mdl-11409821

ABSTRACT

OBJECTIVE: To develop insights on the impact of size, average length of stay, variability, and organization of clinical services on the relationship between occupancy rates and delays for beds. DATA SOURCES: The primary data source was Beth Israel Deaconess Medical Center in Boston. Secondary data were obtained from the United Hospital Fund of New York reflecting data from about 150 hospitals. STUDY DESIGN: Data from Beth Israel Deaconess on discharges and length of stay were analyzed and fit into appropriate queueing models to generate tables and graphs illustrating the relationship between the variables mentioned above and the relationship between occupancy levels and delays. In addition, specific issues of current concern to hospital administrators were analyzed, including the impact of consolidation of clinical services and utilizing hospital beds uniformly across seven days a week rather than five. PRINCIPAL FINDINGS: Using target occupancy levels as the primary determinant of bed capacity is inadequate and may lead to excessive delays for beds. Also, attempts to reduce hospital beds by consolidation of different clinical services into single nursing units may be counterproductive. CONCLUSIONS: More sophisticated methodologies are needed to support decisions that involve bed capacity and organization in order to understand the impact on patient service.


Subject(s)
Bed Conversion/statistics & numerical data , Bed Occupancy/statistics & numerical data , Hospital Bed Capacity/statistics & numerical data , Hospital Restructuring/organization & administration , Length of Stay/statistics & numerical data , Patient Discharge/statistics & numerical data , Quality of Health Care , Bed Conversion/economics , Bed Occupancy/economics , Boston , Cost Control , Economic Competition , Health Services Research , Hospital Bed Capacity/economics , Humans , Length of Stay/economics , Models, Econometric , Needs Assessment/organization & administration , New York , Patient Discharge/economics , Systems Analysis , Time Factors
14.
Br J Gen Pract ; 45(397): 399-403, 1995 Aug.
Article in English | MEDLINE | ID: mdl-7576843

ABSTRACT

BACKGROUND: The shift in care from secondary to primary services is likely to place greater demands on community hospitals. Before changes in the provision of community hospitals can occur, baseline data are needed, outlining their current use. AIM: A study was undertaken to obtain baseline data describing the use of general practitioner beds in Leicestershire community hospitals. METHOD: A three-month prospective, observational study was carried out between February and May 1992 using data from a questionnaire completed by nurses and general practitioners and from patient hospital records. Study patients comprised all patients admitted to general practitioner beds in all eight Leicestershire community hospitals. RESULTS: A 100% questionnaire response rate was obtained giving data on 685 hospital admissions. Around 70% of admissions were of patients aged 75 years and over. Of admissions, 35% were for acute care, 31% for respite care, 22% for rehabilitation, 7% for terminal/palliative care and 5% for other reasons. Fifteen per cent of patients had been transferred from a consultant bed. Of those not transferred, 91% were admitted by their usual general practitioner or practice partner and for 96% of these patients this was the general practitioner's first choice for care. There was significant variation in both the age mix and care category mix of patients between individual hospitals. Medical deterioration in an underlying condition and family pressure on the general practitioner or carers' inability to cope each contributed to around half of all admissions. Of all admissions, 38% lived alone, and 18% of carers were disabled. Incontinence was reported for 35% of patients, and 26% of all patients were of a high nursing dependency. There was low utilization of community services before admission and 33% received none. There was variation between individual hospitals in use of local and district general hospital investigations, specialist referral and types of therapy. Of 685 admissions 11% died during their stay. Of those discharged, 76% went to their own or a relative's home, 10% to a residential or nursing home and 9% were transferred to an acute bed. Nine percent of discharges were postponed and 10% were brought forward. On discharge to non-residential care, 26% of patients received no community services. CONCLUSION: Shifting resources from secondary to primary care is a priority for purchasers. Both the introduction of the National Health Service and community care act 1990, and acute units having increasing incentives for earlier discharge, are likely to place greater demands on community hospital beds. Not all general practitioners have the option of community hospital beds. Before access to general practitioner beds can be broadened, existing beds should be used appropriately and shown to be cost-effective. Purchasers therefore require criteria for the appropriateness of admissions to general practitioner beds, and the results of a general practitioner bed cost-benefit analysis.


Subject(s)
Bed Conversion/statistics & numerical data , Bed Occupancy/statistics & numerical data , Family Practice , Hospitals, Community/statistics & numerical data , Female , Humans , Male , Patient Discharge/statistics & numerical data , Prospective Studies , Surveys and Questionnaires , United Kingdom
17.
Health Care Financ Rev ; 14(4): 25-37, 1993.
Article in English | MEDLINE | ID: mdl-10133110

ABSTRACT

In this article, differences in use of Medicare's skilled nursing facility (SNF) benefit in urban and rural areas are examined. Using SNF benefit bills from 1987, the study finds that there appear to be systematic differences by residential location both in the level of use of the benefit and in whether enrollees are admitted to nursing homes and hospital swing beds. Rural Medicare enrollees use the SNF benefit at a rate that is 15 percent higher than the rate for urban enrollees. Furthermore, the swing-bed program appears to play a critical role in providing access to post-acute care for the rural elderly. In rural areas, almost 29 percent of all SNF benefit admissions are to swing beds.


Subject(s)
Medicare/statistics & numerical data , Rural Health/statistics & numerical data , Skilled Nursing Facilities/economics , Urban Health/statistics & numerical data , Aged , Bed Conversion/statistics & numerical data , Data Collection , Demography , Diagnosis-Related Groups/statistics & numerical data , Female , Geography , Humans , Male , Patient Admission/statistics & numerical data , Skilled Nursing Facilities/statistics & numerical data , United States , Utilization Review/statistics & numerical data
18.
South Med J ; 85(12): 1184-6, 1992 Dec.
Article in English | MEDLINE | ID: mdl-1470960

ABSTRACT

Swing beds contribute significantly to inpatient rehabilitation and skilled nursing care of the rural elderly, but little information is available in the general clinical literature regarding the types and outcomes of patients admitted to these programs. All swing bed admissions to a small rural hospital for the 1989 fiscal year were identified and the records were reviewed. The mean age of the patients was 81 years, and the average length of stay was 13 days. Most patients were admitted because of acute problems necessitating short-term rehabilitation or because no bed was available in an appropriate skilled-care nursing home. At discharge, 40% of patients were able to return home. Information regarding the availability and appropriate use of swing beds needs to be disseminated to physicians who care for the elderly. More study is needed to determine optimal use of and requirements for swing beds on a national level.


Subject(s)
Bed Conversion/statistics & numerical data , Hospitals, Rural/statistics & numerical data , Aged , Aged, 80 and over , Alabama , Hospital Bed Capacity, under 100 , Humans , Middle Aged , Nursing Care , Patient Discharge , Program Evaluation , Retrospective Studies
19.
J Rural Health ; 8(2): 121-7, 1992.
Article in English | MEDLINE | ID: mdl-10119762

ABSTRACT

Rural hospitals were under tremendous stress in the 1980s, as evidenced by decreasing use and closures. Rural populations increased in the two proportions of people older than 65 years relative to urban areas. Rural communities had more chronically ill residents than urban areas. Population aging and hospital stress have opened an option for small rural hospitals to develop long-term care units. Analysis of a national cohort of 750 small rural hospitals was undertaken in 1983, 1985, and 1987 to identify the characteristics of these hospitals, their communities, and the relative contribution of the small rural hospital to long-term care bed supply. Hospitals more likely to have long-term care during this period of time had lower occupancy rates and higher expenses per admission both prior to and after developing long-term care. While only 14 percent of the 750 hospitals studied had long-term care, they contributed nearly 30 percent of the total long-term care bed supply in their counties. Population-based need and bed supply measures were not significantly different in counties having a small rural hospital with long-term care. Areas of further analysis of the small rural hospital as a resource for long-term care are suggested. The implications for the health care system of small rural hospitals with long-term care are discussed.


Subject(s)
Bed Conversion/statistics & numerical data , Hospitals, Rural/statistics & numerical data , Long-Term Care/organization & administration , Bed Occupancy/statistics & numerical data , Cohort Studies , Data Collection , Health Services Needs and Demand/statistics & numerical data , Hospital Bed Capacity, under 100 , Humans , United States
20.
Gerontologist ; 31(4): 438-46, 1991 Aug.
Article in English | MEDLINE | ID: mdl-1909984

ABSTRACT

This paper describes an analysis of hospital utilization by alternate care patients, those who receive long-term care in hospital beds because postdischarge services are not available. During a 3-year period, the number of hospital beds occupied by these patients in Syracuse, New York reached 184, or 14% of the area's medical-surgical capacity. These patients were heterogeneous with respect to disposition, age, functional ability, and payor status. For this reason, the control of hospital alternate care should involve the management of admissions to nursing homes, home care, and elderly housing in a focused manner.


Subject(s)
Bed Conversion/statistics & numerical data , Community Health Services/organization & administration , Long-Term Care/organization & administration , Aged , Aged, 80 and over , Hospital Bed Capacity , Humans , Length of Stay/statistics & numerical data , New York , Nursing Homes/supply & distribution
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