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1.
Arch. bronconeumol. (Ed. impr.) ; 55(12): 634-641, dic. 2019. graf, tab
Article in Spanish | IBECS | ID: ibc-186397

ABSTRACT

Introducción: Históricamente se ha asumido que las unidades de cuidados intermedios respiratorios (UCIR) eran estructuras eficientes por los costes evitados atribuibles a la reducción de los ingresos en las unidades de cuidados intensivos (UCI) y eficaces por la especialización neumológica. Métodos: Se evaluó el número de ingresos y mortalidad en la unidad, histórica y en el año 2016. Ese año además se describieron los grupos relacionados de diagnóstico (GRD) agrupados y el coste evitado por estancia en UCI en relación con todos los capítulos presupuestarios. Se realizó un análisis multivariante para asociar costes a pesos medios y complejidad y se realizó una regresión logística múltiple sobre la totalidad de enfermos ingresados de 2004 a 2017 para describir las variables asociadas a la mortalidad en nuestra unidad. Resultados: La UCIR evita un coste al hospital de 500.000 €/año al reducir días de estancia en las UCI. El análisis sobre la cohorte de 2016 describe que los costes se asocian al peso medio y mortalidad, y por tanto, a la complejidad. El análisis de regresión logística multivariante sobre la cohorte de 2004-2017 describe la frecuencia respiratoria, la leucopenia, la anemia, la hiperpotasemia y la acidosis como las variables que mejor se asocian con la mortalidad. El área bajo la curva para el modelo logístico fue de 0,75. Conclusión: La UCIR analizada ha demostrado ser eficiente en términos de «coste evitado» y ahorro ligado a la complejidad. Nuestros resultados sugieren que las UCIR son un entorno seguro para los pacientes al tener una mortalidad menor que otras unidades similares


Introduction: Historically, it has been assumed that Intermediate Respiratory Care Units (IRCU) were efficient, because they saved costs by reducing the number of admissions to intensive care units (ICU), and effective, because they specialized in respiratory diseases. Methods: The number of IRCU admissions and mortality rate, historically and in 2016, were evaluated. For 2016, the grouped Related Diagnostic Groups (DRGs) were also described, and the savings achieved under all budgetary headings by avoiding UCI stays were calculated. A multivariate analysis was performed to associate costs with mean weights and complexity, and multiple logistic regression was performed on all patients admitted from 2004 to 2017 to describe the variables associated with mortality in our unit. Results: An IRCU generates savings of 500,000 €/year by reducing length of ICU stay. Analysis of the 2016 cohort shows that costs correlate with mean weight and mortality, and consequently complexity. The multivariate logistic regression analysis of the 2004-2017 cohort found respiratory frequency, leukopenia, anemia, hyperkalemia, and acidosis to be the variables best associated with mortality. The area under the curve for the logistic model was 0.75. Conclusion: The IRCU analyzed in our study was efficient in terms of "avoided costs" and savings associated with complexity. Our results suggest that IRCUs have a lower mortality rate than other similar units, and are therefore a safe environment for patients


Subject(s)
Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Costs and Cost Analysis/methods , Respiratory Care Units/economics , Patient Safety , Intermediate Care Facilities/economics , Multivariate Analysis , Logistic Models , Respiratory Care Units/trends , Data Analysis
2.
PLoS One ; 14(4): e0214492, 2019.
Article in English | MEDLINE | ID: mdl-30943223

ABSTRACT

BACKGROUND: In South Africa, 600-700 new cases of paediatric cancers have been reported every year for the past 25 years, and in the year 2000, HIV/AIDS was responsible for 42,479 deaths in children under five. These children need intermediate care but research in the field is lacking, with the few costing studies conducted in South Africa reporting a range of inpatient day costs. METHODS: A retrospective cost analysis for the period April 2014-March 2015 was undertaken from the provider perspective in the public sector, using a step down costing approach. Costs of paediatric intermediate care were estimated for an intermediate care facility (ICF) and a tertiary hospital in Cape Town. Costs were inflated to 2016 prices and reported in US dollars. RESULTS: Cost per inpatient day was $713.09 at the hospital and $695.17 at the ICF for any child requiring care at these institutions. The cost for a paediatric patient who is HIV/TB co-infected was $7 130.94 and $6 951.67 at the hospital and ICF respectively, assuming an average length of stay of 10 days. For a patient with terminal brain carcinoma the cost was $19 966.63 and $19 464.69 at the hospital and ICF respectively, assuming an average length of stay of 28 days. Personnel costs accounted for 60% and 17% of the total cost at the hospital and ICF respectively. Overhead costs accounted for 12.33% at the ICF and 4.48% at the hospital. CONCLUSIONS: The drivers of cost are not uniform across settings. Providing intermediate care at an ICF could be less costly than providing this care at a hospital, however more in-depth analysis is needed. The costs presented in this study were considerably higher than those found in other studies, however, the paucity of cost data available in this area makes comparisons difficult.


Subject(s)
Health Care Costs , Intermediate Care Facilities/economics , Pediatrics/economics , Tertiary Care Centers/economics , Child , Cost-Benefit Analysis , HIV Infections/economics , HIV Infections/therapy , Humans , Inpatients , Neoplasms/economics , Neoplasms/therapy , Public Sector , Retrospective Studies , South Africa , Tuberculosis/economics , Tuberculosis/therapy
3.
Pediatr Diabetes ; 20(1): 93-98, 2019 02.
Article in English | MEDLINE | ID: mdl-30471084

ABSTRACT

Optimal care for children and adolescents with type 1 diabetes is well described in guidelines, such as those of the International Society for Pediatric and Adolescent Diabetes. High-income countries can usually provide this, but the cost of this care is generally prohibitive for lower-income countries. Indeed, in most of these countries, very little care is provided by government health systems, resulting in high mortality, and high complications rates in those who do survive. As lower-income countries work toward establishing guidelines-based care, it is helpful to describe the levels of care that are potentially affordable, cost-effective, and result in substantially improved clinical outcomes. We have developed a levels of care concept with three tiers: "minimal care," "intermediate care," and "comprehensive (guidelines-based) care." Each tier contains levels, which describe insulin and blood glucose monitoring regimens, requirements for hemoglobin A1c (HbA1c) testing, complications screening, diabetes education, and multidisciplinary care. The literature provides various examples at each tier, including from countries where the life for a child and the changing diabetes in children programs have assisted local diabetes centres to introduce intermediate care. Intra-clinic mean HbA1c levels range from 12.0% to 14.0% (108-130 mmol/mol) for the most basic level of minimal care, 8.0% to 9.5% (64-80 mmol/mol) for intermediate care, and 6.9% to 8.5% (52-69 mmol/mol) for comprehensive care. Countries with sufficient resources should provide comprehensive care, working to ensure that it is accessible by all in need, and that resulting HbA1c levels correspond with international recommendations. All other countries should provide Intermediate care, while working toward the provision of comprehensive care.


Subject(s)
Adolescent Health Services , Child Care , Diabetes Mellitus, Type 1/economics , Diabetes Mellitus, Type 1/therapy , Health Resources/statistics & numerical data , Adolescent , Adolescent Health Services/economics , Adolescent Health Services/statistics & numerical data , Child , Child Care/economics , Child Care/methods , Comprehensive Health Care/economics , Comprehensive Health Care/statistics & numerical data , Developing Countries/economics , Developing Countries/statistics & numerical data , Diabetes Complications/economics , Diabetes Complications/mortality , Diabetes Complications/therapy , Diabetes Mellitus, Type 1/complications , Diabetes Mellitus, Type 1/epidemiology , Humans , Intermediate Care Facilities/economics , Intermediate Care Facilities/statistics & numerical data , Mortality , Poverty/economics , Poverty/statistics & numerical data , Self-Care Units/economics , Self-Care Units/statistics & numerical data
5.
Am J Respir Crit Care Med ; 191(2): 186-93, 2015 Jan 15.
Article in English | MEDLINE | ID: mdl-25494358

ABSTRACT

RATIONALE: Little is known about the utility of provision of high-dependency care (HDC) that is in a geographically separate location from a primary intensive care unit (ICU). OBJECTIVES: To determine whether the availability of HDC in a geographically separate unit affects patient flow or mortality for critically ill patients. METHODS: Admissions to ICUs in the United Kingdom, from 2009 to 2011, who received Level 3 intensive care in the first 24 hours after admission and subsequently Level 2 HDC. We compared differences in patient flow and outcomes for patients treated in hospitals providing some HDC in a geographically separate unit (dual HDC) with patients treated in hospitals providing all HDC in the same unit as intensive care (integrated HDC) using multilevel mixed effects models. MEASUREMENTS AND MAIN RESULTS: In 192 adult general ICUs, 21.4% provided dual HDC. Acute hospital mortality was no different for patients cared for in ICUs with dual HDC versus those with integrated HDC (adjusted odds ratio, 0.94 [0.86-1.03]; P = 0.16). Dual HDC was associated with a decreased likelihood of a delayed discharge from the primary unit. However, total duration of critical care and the likelihood of discharge from the primary unit at night were increased with dual HDC. CONCLUSIONS: Availability of HDC in a geographically separate unit does not impact acute hospital mortality. The potential benefit of decreasing delays in discharge should be weighed against the increased total duration of critical care and greater likelihood of a transfer out of the primary unit at night.


Subject(s)
Critical Care/organization & administration , Critical Illness/mortality , Hospital Mortality , Intensive Care Units/organization & administration , Intermediate Care Facilities/organization & administration , Patient Transfer/organization & administration , APACHE , Cohort Studies , Costs and Cost Analysis , Critical Care/economics , Critical Care/statistics & numerical data , Critical Illness/therapy , Diagnosis-Related Groups/statistics & numerical data , Female , Humans , Intensive Care Units/economics , Intensive Care Units/statistics & numerical data , Intermediate Care Facilities/economics , Intermediate Care Facilities/statistics & numerical data , Length of Stay/economics , Length of Stay/statistics & numerical data , Male , Middle Aged , Outcome and Process Assessment, Health Care/statistics & numerical data , Patient Transfer/methods , Patient Transfer/statistics & numerical data , Risk Assessment , United Kingdom/epidemiology
6.
Med Klin Intensivmed Notfmed ; 109(7): 504-8, 2014 Oct.
Article in German | MEDLINE | ID: mdl-25330874

ABSTRACT

BACKGROUND: Personnel calculation in intensive care has been a subject of conflict for over 63 years. The aim of these remarks is primarily to indicate the current state of the discussions. METHOD: The methods of working-scientific analyses in practice with the respective factors are shown. RESULT: It seems clear that a fair personnel calculation is limited by scarce financial resources and political policy.


Subject(s)
Intensive Care Units , Intermediate Care Facilities , Medical Staff, Hospital/organization & administration , Nursing Staff, Hospital/organization & administration , Personnel Administration, Hospital , Personnel Staffing and Scheduling/organization & administration , Cost Control/economics , Germany , Health Services Needs and Demand/economics , Humans , Intensive Care Units/economics , Intermediate Care Facilities/economics , Medical Staff, Hospital/economics , Nursing Staff, Hospital/economics , Personnel Administration, Hospital/economics , Personnel Staffing and Scheduling/economics , Workforce
8.
Med Klin Intensivmed Notfmed ; 108(6): 497-506, 2013 Sep.
Article in German | MEDLINE | ID: mdl-23719669

ABSTRACT

BACKGROUND: Effectiveness of intensive care treatment is essential to cope with increasing costs. The German national register of intensive care established by the German Interdisciplinary Association for Intensive Care Medicine (DIVI) contains basic data on the structure of intensive care units in Germany. A repeat analysis of data of the DIVI register within 8 years provides information for the development of intensive care units under different economic circumstances. METHODS: The recent data on the structure of intensive care units were obtained in 2008 and compared with the primary multicenter study from 2000. The hospitals selected were a representative sample for the whole of Germany. Data on the status of the hospital, staff and technical facilities, foundation of the hospital and the statistics of mechanically ventilated patients were analyzed. RESULTS: The technical facilities and the number of staff have improved from 2000 to 2008. A smaller availability of diagnostic procedures and staff remain in hospitals for basic treatment outside normal working hours. The average utilization of intensive care unit beds was not altered. The existence of intermediate care units did not significantly change the proportion of patients with artificial ventilation or ventilation times. The number of beds in intensive care units was unchanged as was the average number of beds in units and the number of patients treated. A relevant number of beds of intensive care units shifted towards hospitals with private foundation without changes in the overall numbers. The structure of the hospitals was comparable at both time points. CONCLUSIONS: The introduction of intermediate care units did not alter ventilation parameters of patients in 2008 compared with 2000. There is no obvious medical reason for the shift of intensive care beds towards private hospitals. The number of staff and patients varied considerably between the intensive care units. The average number of patients treated per bed was not different between the periods or between hospitals with different structures. Overall availability of medical staff and diagnostic procedures increased during the study period. An increase of availability of fully trained medical staff in intensive care medicine is desirable to increase the quality of treatment.


Subject(s)
Intensive Care Units/organization & administration , Intensive Care Units/standards , Quality Assurance, Health Care , Costs and Cost Analysis , Germany , Historically Controlled Study , Humans , Intensive Care Units/economics , Intermediate Care Facilities/economics , Intermediate Care Facilities/organization & administration , Intermediate Care Facilities/standards , National Health Programs/economics , Patient Care Team/economics , Patient Care Team/organization & administration , Patient Care Team/standards , Quality Assurance, Health Care/economics , Quality Improvement/economics , Quality Improvement/organization & administration , Quality Improvement/standards , Registries , Respiration, Artificial/economics , Respiration, Artificial/standards
9.
Trials ; 13: 164, 2012 Sep 12.
Article in English | MEDLINE | ID: mdl-22971356

ABSTRACT

BACKGROUND: World-wide healthcare systems are faced with an epidemic of type 2 diabetes. In the United Kingdom, clinical care is primarily provided by general practitioners (GPs) rather than hospital specialists. Intermediate care clinics for diabetes (ICCD) potentially provide a model for supporting GPs in their care of people with poorly controlled type 2 diabetes and in their management of cardiovascular risk factors. This study aims to (1) compare patients with type 2 diabetes registered with practices that have access to an ICCD service with those that have access only to usual hospital care; (2) assess the cost-effectiveness of the intervention; and (3) explore the views and experiences of patients, health professionals and other stakeholders. METHODS/DESIGN: This two-arm cluster randomized controlled trial (with integral economic evaluation and qualitative study) is set in general practices in three UK Primary Care Trusts. Practices are randomized to one of two groups with patients referred to either an ICCD (intervention) or to hospital care (control). Intervention group: GP practices in the intervention arm have the opportunity to refer patients to an ICCD - a multidisciplinary team led by a specialist nurse and a diabetologist. Patients are reviewed and managed in the ICCD for a short period with a goal of improving diabetes and cardiovascular risk factor control and are then referred back to practice. or CONTROL GROUP: Standard GP care, with referral to secondary care as required, but no access to ICCD. Participants are adults aged 18 years or older who have type 2 diabetes that is difficult for their GPs to control. The primary outcome is the proportion of participants reaching three risk factor targets: HbA1c (≤7.0%); blood pressure (<140/80); and cholesterol (<4 mmol/l), at the end of the 18-month intervention period. The main secondary outcomes are the proportion of participants reaching individual risk factor targets and the overall 10-year risks for coronary heart disease(CHD) and stroke assessed by the United Kingdom Prospective Diabetes Study (UKPDS) risk engine. Other secondary outcomes include body mass index and waist circumference, use of medication, reported smoking, emotional adjustment, patient satisfaction and views on continuity, costs and health related quality of life. We aimed to randomize 50 practices and recruit 2,555 patients. DISCUSSION: Forty-nine practices have been randomized, 1,997 patients have been recruited to the trial, and 20 patients have been recruited to the qualitative study. Results will be available late 2012. TRIAL REGISTRATION: [ClinicalTrials.gov: Identifier NCT00945204].


Subject(s)
Community Health Services , Diabetes Mellitus, Type 2/therapy , Intermediate Care Facilities , Research Design , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Community Health Services/economics , Cost-Benefit Analysis , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/economics , Diabetes Mellitus, Type 2/epidemiology , General Practice , Health Care Costs , Intermediate Care Facilities/economics , Patient Care Team , Primary Health Care , Referral and Consultation , Risk Assessment , Risk Factors , Time Factors , Treatment Outcome , United Kingdom/epidemiology
10.
BMC Res Notes ; 5: 330, 2012 Jun 27.
Article in English | MEDLINE | ID: mdl-22738344

ABSTRACT

BACKGROUND: Missing data is a common statistical problem in healthcare datasets from populations of older people. Some argue that arbitrarily assuming the mechanism responsible for the missingness and therefore the method for dealing with this missingness is not the best option-but is this always true? This paper explores what happens when extra information that suggests that a particular mechanism is responsible for missing data is disregarded and methods for dealing with the missing data are chosen arbitrarily. Regression models based on 2,533 intermediate care (IC) patients from the largest evaluation of IC done and published in the UK to date were used to explain variation in costs, EQ-5D and Barthel index. Three methods for dealing with missingness were utilised, each assuming a different mechanism as being responsible for the missing data: complete case analysis (assuming missing completely at random-MCAR), multiple imputation (assuming missing at random-MAR) and Heckman selection model (assuming missing not at random-MNAR). Differences in results were gauged by examining the signs of coefficients as well as the sizes of both coefficients and associated standard errors. RESULTS: Extra information strongly suggested that missing cost data were MCAR. The results show that MCAR and MAR-based methods yielded similar results with sizes of most coefficients and standard errors differing by less than 3.4% while those based on MNAR-methods were statistically different (up to 730% bigger). Significant variables in all regression models also had the same direction of influence on costs. All three mechanisms of missingness were shown to be potential causes of the missing EQ-5D and Barthel data. The method chosen to deal with missing data did not seem to have any significant effect on the results for these data as they led to broadly similar conclusions with sizes of coefficients and standard errors differing by less than 54% and 322%, respectively. CONCLUSIONS: Arbitrary selection of methods to deal with missing data should be avoided. Using extra information gathered during the data collection exercise about the cause of missingness to guide this selection would be more appropriate.


Subject(s)
Health Services Research/statistics & numerical data , Health Services/statistics & numerical data , Intermediate Care Facilities/statistics & numerical data , Models, Statistical , Data Collection , Data Interpretation, Statistical , Female , Health Care Costs/statistics & numerical data , Health Services/economics , Humans , Intermediate Care Facilities/economics , Least-Squares Analysis , Length of Stay/statistics & numerical data , Linear Models , Male , Models, Economic , Patient Admission/statistics & numerical data , Patient Discharge/statistics & numerical data , United Kingdom
12.
BMC Health Serv Res ; 10: 221, 2010 Jul 29.
Article in English | MEDLINE | ID: mdl-20670428

ABSTRACT

BACKGROUND: The purpose of this study was to assess the relationship between skill mix, patient outcomes, length of stay and service costs in older peoples' intermediate care services in England. METHODS: We undertook multivariate analysis of data collected as part of the National Evaluation of Intermediate Care Services. Data were analysed on between 337 and 403 older people admitted to 14 different intermediate care teams. Independent variables were the numbers of different types of staff within a team and the ratio of support staff to professionally qualified staff within teams. Outcome measures include the Barthel index, EQ-5D, length of service provision and costs of care. RESULTS: Increased skill mix (raising the number of different types of staff by one) is associated with a 17% reduction in service costs (p = 0.011). There is weak evidence (p = 0.090) that a higher ratio of support staff to qualified staff leads to greater improvements in EQ-5D scores of patients. CONCLUSIONS: This study provides limited evidence on the relationship between multidisciplinary skill mix and outcomes in intermediate care services.


Subject(s)
Intermediate Care Facilities/economics , Outcome Assessment, Health Care , Personnel Staffing and Scheduling , Aged , Aged, 80 and over , England , Female , Humans , Interdisciplinary Communication , Intermediate Care Facilities/statistics & numerical data , Length of Stay , Male , Middle Aged , Multivariate Analysis , Organizational Case Studies , Primary Health Care , Surveys and Questionnaires , Workforce
15.
Wien Med Wochenschr ; 160(3-4): 85-90, 2010 Feb.
Article in German | MEDLINE | ID: mdl-20300925

ABSTRACT

The increasing economic pressure has resulted in strategies to use efficient treatment forms. The aim of our study was to evaluate to which extent the intermediate care unit (IMC-unit) relieves the intensive care unit and the wards. We analyzed: patient population, age, gender, admission criteria and the rate of patients with intensive nursing procedures between January 1, 2005 and December 31, 2007. The level of care was calculated according to the standard patient categories. The mean age amounted to 58.9 years. Intensive care patients made up 43.6% and patients from the emergency ward 36.6% of the total IMC-allocation. After IMC care 54.3% of all IMC-patients could be taken over by wards. The confused patients amounted to 27.5% and isolated patients 4.3%. The average care intensity amounted to 4.5 hours per patient daily and the mean length of stay in hospital was 9 days. Particularly the relief of nursing intensity and the possibility of primary treatment of severely injured persons reflect the requirements of IMC.


Subject(s)
Emergency Service, Hospital/statistics & numerical data , Intensive Care Units/statistics & numerical data , Intermediate Care Facilities/statistics & numerical data , Patient Care Team/statistics & numerical data , Postoperative Care/statistics & numerical data , Referral and Consultation/statistics & numerical data , Cost-Benefit Analysis , Female , Germany , Humans , Intermediate Care Facilities/economics , Length of Stay/economics , Length of Stay/statistics & numerical data , Male , Middle Aged , Nursing Care/statistics & numerical data , Patient Care Team/economics , Postoperative Care/economics , Utilization Review/statistics & numerical data
16.
Arch Gerontol Geriatr ; 49 Suppl 2: S21-5, 2009 Dec.
Article in English | MEDLINE | ID: mdl-20005421

ABSTRACT

The origins of intermediate care as a health policy in England are reviewed. The randomized controlled trial (RCT) evidence for the various intermediate care service models is discussed from the perspectives of clinical, service and economic outcomes. This evidence base suggests that the hospital-at-home approach is currently the best RCT supported intermediate care service model. It is argued that intermediate care in England has yet to fulfil its expectations. Changing staff skills and attitudes has proved a challenge, and the integration of intermediate care with mainstream services has been especially difficult. New national guidance has been produced that is attempting to refocus intermediate care its intended target group of frail older people, and not to specifically exclude older people with mental health problems.


Subject(s)
Health Services for the Aged/organization & administration , Home Care Services/organization & administration , Intermediate Care Facilities/organization & administration , Aged , Aged, 80 and over , England , Health Services for the Aged/economics , Home Care Services/economics , Humans , Intermediate Care Facilities/economics , Intermediate Care Facilities/statistics & numerical data , Randomized Controlled Trials as Topic
17.
Intellect Dev Disabil ; 46(3): 200-14, 2008 Jun.
Article in English | MEDLINE | ID: mdl-18578578

ABSTRACT

This article examines expenditures for a random sample of 1,421 adult Home and Community Based Services (HCBS) and Intermediate Care Facility/Mental Retardation (ICF/MR) recipients in 4 states. The article documents variations in expenditures for individuals with different characteristics and service needs and, controlling for individual characteristics, by residential setting type, Medicaid program (ICF/MR or HCBS), and state. Annual average per-person Medicaid expenditures for HCBS recipients were less than those of ICF/MR residents ($61,770 and $128,275, respectively). HCBS recipients had less severe disability (intellectual, physical, health service needs) than ICF/MR residents. Controlling these differences, and for congregate settings, HCBS were less costly than ICFs/MR, but this distinction accounted for only 3.3% of variation in expenditures. Persons living with families receiving HCBS ($25,072) and in host families (including foster, companion, or shared living arrangements; $44,112) had the lowest Medicaid expenditures.


Subject(s)
Community Health Services/economics , Developmental Disabilities/therapy , Health Expenditures/statistics & numerical data , Home Care Services/economics , Intellectual Disability/therapy , Intermediate Care Facilities/economics , Medicaid/economics , Adult , Child , Community Health Services/statistics & numerical data , Developmental Disabilities/economics , Factor Analysis, Statistical , Female , Health Care Costs/statistics & numerical data , Home Care Services/statistics & numerical data , Humans , Intellectual Disability/economics , Male , Medicaid/statistics & numerical data , Socioeconomic Factors , United States
20.
Health Soc Care Community ; 16(6): 573-81, 2008 Dec.
Article in English | MEDLINE | ID: mdl-18384358

ABSTRACT

The objectives of this study were to explore the costs and outcomes associated with different types of intermediate care (IC) services, and also to examine the characteristics of patients receiving such services. Five UK case studies of 'whole systems' of IC were used, with data collected on a sample of consecutive IC episodes between January 2003 and January 2004. Statistical differences in costs and outcomes associated with different IC services and patient groups were explored. Factors associated with variation in IC episode outcomes (EuroQol EQ-5D and Barthel Index) were explored using an econometric framework. Data were available for 2253 episodes of IC. In terms of Department of Health criteria, a large proportion of patients (up to 47% of those for whom data were available) in this study were inappropriately admitted to IC services. As regards service function, compared to supported discharge, admission avoidance services were associated with both lower costs and greater health and functional gains. These gains appear to be driven, in part, by illness severity (more dependent patients tended to gain most benefit). In addition, these gains appear to be larger where the admission was appropriate. Our work suggests a need for the development and application of robust and reliable clinical criteria for admission to IC, and close co-operation between hospital and community service providers over selection of patients and targeting of IC and acute care services to meet defined clinical need.


Subject(s)
Health Care Costs , Intermediate Care Facilities/economics , Intermediate Care Facilities/standards , Treatment Outcome , Aged , Aged, 80 and over , Decision Making , Episode of Care , Female , Humans , Intermediate Care Facilities/statistics & numerical data , Male , Models, Econometric , Needs Assessment , Organizational Case Studies , Patient Admission , Program Evaluation , Quality-Adjusted Life Years , Referral and Consultation , United Kingdom
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