MINI-SUMMARIES FROM THE U.K. HTA PROGRAMME

2001 ◽  
Vol 17 (2) ◽  
pp. 261-266
Keyword(s):  
Hip Fracture ◽  
Length Of Stay ◽  
Average Length ◽  
Clinical Pathways ◽  
Length Of Hospital Stay ◽  
Cost Effective ◽  
The United States ◽  
Local Conditions ◽  
Orthopedic Rehabilitation ◽  
The Impact

SUMMARY POINTS[bull ] Geriatric service interventions after hip fracture are complex and strongly influenced by local conditions. The effectiveness of rehabilitation programs is uncertain, and comparative studies comparing different treatments and strategies are of poor to moderate quality.[bull ] Based on the available evidence, geriatric hip fracture and early supported discharge programs are probably cost-effective since they appear to shorten the average length of hospital stay and are associated with significantly increased rates of return to previous residential status. Clinical pathways also appear to reduce total length of stay in hospital.[bull ] Geriatric orthopedic rehabilitation units are unlikely to be cost-effective, but some frailer patients may benefit in respect of reduced readmission rates and need for nursing home placement.[bull ] Length of stay may be reduced by the introduction of prospective payment systems, but these have led to increased use of nursing homes in the United States.[bull ] There is no evidence that any of the programs evaluated are associated with changes in mortality. However, there are insufficient data to assess the impact of any program on level of function, morbidity, quality of life, or impact on carers.

Predicting the impact of new health technologies on average length of stay: Development of a prediction framework

2005 ◽  
Vol 21 (4) ◽  
pp. 487-491 ◽  
Author(s):  
Sue Simpson ◽  
Claire Packer ◽  
Andrew Stevens ◽  
James Raftery
Keyword(s):  
Length Of Stay ◽  
Health Management ◽  
Average Length ◽  
New Technology ◽  
Length Of Hospital Stay ◽  
Health Technologies ◽  
Average Length Of Stay ◽  
Admission Policies ◽  
Mechanism Of Impact ◽  
The Impact

Objectives: The aim of this study was to develop a framework to predict the impact of new health technologies on average length of hospital stay.Methods: A literature search of EMBASE, MEDLINE, Web of Science, and the Health Management Information Consortium databases was conducted to identify papers that discuss the impact of new technology on length of stay or report the impact with a proposed mechanism of impact of specific technologies on length of stay. The mechanisms of impact were categorized into those relating to patients, the technology, or the organization of health care and clinical practice.Results: New health technologies have a variable impact on length of stay. Technologies that lead to an increase in the proportion of sicker patients or increase the average age of patients remaining in the hospital lead to an increase in individual and average length of stay. Technologies that do not affect or improve the inpatient case mix, or reduce adverse effects and complications, or speed up the diagnostic or treatment process should lead to a reduction in individual length of stay and, if applied to all patients with the condition, will reduce average length of stay.Conclusions: The prediction framework we have developed will ensure that the characteristics of a new technology that may influence length of stay can be consistently taken into consideration by assessment agencies. It is recognized that the influence of technology on length of stay will change as a technology diffuses and that length of stay is highly sensitive to changes in admission policies and organization of care.

Impact of orthogeriatric management on the average length of stay of patients aged over seventy five years admitted to hospital after hip fractures

2021 ◽  
Author(s):  
Pierre-Sylvain Marcheix ◽  
Camille Collin ◽  
Jérémy Hardy ◽  
Christian Mabit ◽  
Achille Tchalla ◽  
...  
Keyword(s):  
Surgical Treatment ◽  
Hip Fracture ◽  
Mortality Rate ◽  
Length Of Stay ◽  
Average Length ◽  
Discharge Rate ◽  
Length Of Hospital Stay ◽  
Median Length ◽  
Average Length Of Stay ◽  
Significant Difference

Abstract Introduction Hip fracture is a frequent and serious condition in the elderly. We conducted a retrospective cohort study to answer the following questions: (1) Could treatment in an orthogeriatric unit help to reduce the average length of stay for patients aged over 75 years admitted to hospital for the treatment of a hip fracture?; and (2) Could such treatment influence the post-operative outcomes of patients with hip fracture? Methods and materials Our study included 534 patients admitted to hospital between January 2017 and December 2018 for surgical treatment of a hip fracture. We compared 246 patients who received traditional orthopaedic care with 288 patients treated in an orthogeriatric unit. Results Our cohort included 410 women (77%). The average age was 87.5 ± six years, and 366 patients (68%) were living at home prior to the fracture. A statistically significant difference in median length of stay (from 10 to 9 days) was observed between patients who did and did not receive orthogeriatric unit treatment (groups 1 and 2; 95% CI: 0.64; 2.59; p = 0.001). There was no difference in pre-operative delay, intra-hospital mortality rate, place of recovery, rate of institutionalisation after six months, or the number of new fractures at 6 months between the groups. The mortality rate after six months was 23.6% and 21.3% in groups 1 and 2, respectively; the difference was not significant. Discussion Orthogeriatric unit treatment reduced the median length of stay by one day, in line with most previous studies. According to Pablos-Hernandez et al., multifaceted orthogeriatric treatment is most effective. In our study, only 38% of the patients received surgical treatment within 48 hours, where early surgery is key for reducing the length of hospital stay. The intrahospital mortality rate was 2.6%, which is comparable to literature data. The discharge rate did not differ by orthogeriatric treatment status, which is also consistent with previous findings (e.g. Gregersen et al.). Lastly, the mortality rate after six months was slightly reduced by orthogeriatric care. In line with this, Boddaert et al. reported a difference in mortality rate after six months between groups who did and did not receive orthogeriatric treatment (15% vs. 24%).

565 POST-OPERATIVE WEIGHT LOSS AND OUTCOMES FOLLOWING ESOPHAGECTOMY

2020 ◽  
Vol 33 (Supplement_1) ◽  
Author(s):  
R Khaw ◽  
S Munro ◽  
J Sturrock ◽  
H Jaretzke ◽  
S Kamarajah ◽  
...  
Keyword(s):  
Weight Loss ◽  
Length Of Stay ◽  
Hospital Stay ◽  
Enhanced Recovery ◽  
Length Of Hospital Stay ◽  
Failure To Thrive ◽  
Post Discharge ◽  
Postoperative Weight Loss ◽  
Poor Outcomes ◽  
The Impact

Abstract   Oesophageal cancer is the 11th most common cancer worldwide, with oesophagectomy remaining the mainstay curative treatment, despite significant associated morbidity and mortality. Postoperative weight loss remains a significant problem and is directly correlated to poor prognosis. Measures such as the Enhanced Recovery After Surgery (ERAS) programme and intraoperative jejunostomy feed have looked to tackle this. This study investigates the impact of these on mortality, length of hospital stay and postoperative weight loss. Methods Patients undergoing oesophagectomy between January 1st 2012—December 2014 and 28th October 2015–December 31st 2019 in a national tertiary oesophagogastric unit were included retrospectively. Variables measured included comorbidities, operation, histopathology, weights (pre- and post-operatively), length of hospital stay, postoperative complications and mortality. Pre-operative body weight was measured at elective admission, and further weights were identified from a prospectively maintained database, during further clinic appointments. Other data was collected through patient notes. Results 594 patients were included. Mean age at diagnosis was 65.9 years (13–65). Majority of cases were adenocarcinoma (63.3%), with varying stages of disease (TX-4, NX-3). Benign pathology accounted for 8.75% of cases. Mean weight loss post-oesophagectomy exceeded 10% at 6 months (SD 14.49). Majority (60.1%) of patients were discharged with feeding jejunostomy, and 5.22% of these required this feed to be restarted post-discharge. Length of stay was mean 16.5 days (SD 22.3). Complications occurred in 68.9% of patients, of which 13.8% were infection driven. Mortality occurred in 26.6% of patients, with 1.83% during hospital admission. 30-day mortality rate was 1.39%. Conclusion Failure to thrive and prolonged weight-loss following oesophagectomy can contribute to poor recovery, with associated complications and poor outcomes, including increased length of stay and mortality. Further analysis of data to investigate association between weight loss and poor outcomes for oesophagectomy patients will allow for personalised treatment of high-risk patients, in conjunction with members of the multidisciplinary team, including dieticians.

scholarly journals Times of change in complex environments - Evaluating hospital co-payments in Palestine refugee camps

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S V Valente de Almeida ◽  
H Ghattas ◽  
G Paolucci ◽  
A Seita
Keyword(s):  
Length Of Stay ◽  
Policy Change ◽  
Negative Binomial ◽  
Negative Impact ◽  
Average Length ◽  
Lessons Learned ◽  
Policy Impact ◽  
Average Length Of Stay ◽  
Ex Post ◽  
The Impact

Abstract We measure the impact introducing a of 10% co-payment component on hospitalisation costs for Palestine refugees from Lebanon in public and private hospitals. This ex-post analysis provides a detailed insight on the direction and magnitude of the policy impact in terms of demand and supply for healthcare. The data was collected by the United Nations Relief and Works Agency for Palestine Refugees in the Near East and include episode level information from all public, private and Red Crescent Hospitals in Lebanon, between April 2016 and October 2017. This is a complete population episode level dataset with information from before and after the policy change. We use multinomial logit, negative binomial and linear models to estimate the policy impact on demand by type of hospital, average length of stay and treatment costs for the patient and the provider. After the new policy was implemented patients were 18% more likely to choose a (free-of-charge) PRCS hospital for secondary care, instead of a Private or Public hospital, where the co-payment was introduced. This impact was stronger for episodes with longer stays, which are also the more severe and more expensive cases. Average length of stay decreased in general for all hospitals and we could not find a statistically significant impact on costs for the provider nor the patient. We find evidence that the introduction of co-payments is hospital costs led to a shift in demand, but it is not clear to what extent the hospitals receiving this demand shift were prepared for having more patients than before, also because these are typically of less quality then the others. Regarding costs, there is no evidence that the provider managed to contain costs with the new policy, as the demand adapted to the changes. Our findings provide important information on hospitalisation expenses and the consequences of a policy change from a lessons learned perspective that should be taken into account for future policy decision making. Key messages We show that in a context of poverty, the introduction of payment for specific hospital types can be efficient for shifting demand, but has doubtable impact on costs containment for the provider. The co-payment policy can have a negative impact on patients' health since after its implementation demand increased at free-of-charge hospitals, which typically have less resources to treat patients.

scholarly journals What is the impact of multimorbidity on the risk of hospitalisation in older adults? A systematic review study protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e049974
Author(s):  
Luciana Pereira Rodrigues ◽  
Andréa Toledo de Oliveira Rezende ◽  
Letícia de Almeida Nogueira e Moura ◽  
Bruno Pereira Nunes ◽  
Matias Noll ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Study Protocol ◽  
Average Length ◽  
Length Of Hospital Stay ◽  
Case Control Studies ◽  
Cross Sectional ◽  
Increased Risk ◽  
Review Study ◽  
The Impact

IntroductionThe development of multiple coexisting chronic diseases (multimorbidity) is increasing globally, along with the percentage of older adults affected by it. Multimorbidity is associated with the concomitant use of multiple medications, a greater possibility of adverse effects, and increased risk of hospitalisation. Therefore, this systematic review study protocol aims to analyse the impact of multimorbidity on the occurrence of hospitalisation in older adults and assess whether this impact changes according to factors such as sex, age, institutionalisation and socioeconomic status. This study will also review the average length of hospital stay and the occurrence of hospital readmission.Methods and analysisA systematic review of the literature will be carried out using the PubMed, Embase and Scopus databases. The inclusion criteria will incorporate cross-sectional, cohort and case–control studies that analysed the association between multimorbidity (defined as the presence of ≥2 and/or ≥3 chronic conditions and complex multimorbidity) and hospitalisation (yes/no, days of hospitalisation and number of readmissions) in older adults (aged ≥60 years or >65 years). Effect measures will be quantified, including ORs, prevalence ratios, HRs and relative risk, along with their associated 95% CI. The overall aim of this study is to widen knowledge and to raise reflections about the association between multimorbidity and hospitalisation in older adults. Ultimately, its findings may contribute to improvements in public health policies resulting in cost reductions across healthcare systems.Ethics and disseminationEthical approval is not required. The results will be disseminated via submission for publication to a peer-reviewed journal when complete.PROSPERO registration numberCRD42021229328.

scholarly journals The independent patient factors that affect length of stay following hip fractures

2018 ◽  
Vol 100 (7) ◽  
pp. 556-562 ◽  
Author(s):  
T Richards ◽  
A Glendenning ◽  
D Benson ◽  
S Alexander ◽  
S Thati
Keyword(s):  
Hip Fracture ◽  
Length Of Stay ◽  
Hospital Stay ◽  
Hip Fractures ◽  
Length Of Hospital Stay ◽  
Hospital Length ◽  
Acute Hospital ◽  
Hospital Length Of Stay ◽  
Patient Factors ◽  
Mobility Status

Introduction Management of hip fractures has evolved over recent years to drive better outcomes including length of hospital stay. We aimed to identify and quantify the effect that patient factors influence acute hospital and total health service length of stay. Methods A retrospective observational study based on National Hip Fracture Database data was conducted from 1 January 2014 to 31 December 2015. A multiple regression analysis of 330 patients was carried out to determine independent factors that affect acute hospital and total hospital length of stay. Results American Society of Anesthesiologists (ASA) grade 3 or above, Abbreviated Mental Test Score (AMTS) less than 8 and poor mobility status were independent factors, significantly increasing length of hospital stay in our population. Acute hospital length of stay can be predicted as 8.9 days longer when AMTS less than 8, 4.2 days longer when ASA grade was 3 or above and 20.4 days longer when unable to mobilise unaided (compared with independently mobile individuals). Other factors including total hip replacement compared with hemiarthroplasty did not independently affect length of stay. Conclusions Our analysis in a representative and generalisable population illustrates the importance of identifying these three patient characteristics in hip fracture patients. When recognised and targeted with orthogeriatric support, the length of hospital stay for these patients can be reduced and overall hip fracture care improved. Screening on admission for ASA grade, AMTS and mobility status allows prediction of length of stay and tailoring of care to match needs.

scholarly journals Statistical Weather-Impact Models: An Application of Neural Networks and Mixed Effects for Corn Production over the United States

2016 ◽  
Vol 55 (11) ◽  
pp. 2509-2527 ◽  
Author(s):  
Jordane A. Mathieu ◽  
Filipe Aires
Keyword(s):  
United States ◽  
The United States ◽  
Weather Data ◽  
Corn Yield ◽  
Mixed Effect ◽  
Local Conditions ◽  
Weather Impact ◽  
Yield Forecasting ◽  
The Impact ◽  
Impact Models

AbstractStatistical meteorological impact models are intended to represent the impact of weather on socioeconomic activities, using a statistical approach. The calibration of such models is difficult because relationships are complex and historical records are limited. Often, such models succeed in reproducing past data but perform poorly on unseen new data (a problem known as overfitting). This difficulty emphasizes the need for regularization techniques and reliable assessment of the model quality. This study illustrates, in a general way, how to extract pertinent information from weather data and exploit it in impact models that are designed to help decision-making. For a given socioeconomic activity, this type of impact model can be used to 1) study its sensitivity to weather anomalies (e.g., corn sensitivity to water stress), 2) perform seasonal forecasting (yield forecasting) for it, and 3) quantify the longer-term (several decades) impact of weather on it. The size of the training database can be increased by pooling data from various locations, but this requires statistical models that are able to use the localization information—for example, mixed-effect (ME) models. Linear, neural-network, and ME models are compared, using a real-world application: corn-yield forecasting over the United States. Many challenges faced in this paper may be encountered in many weather-impact analyses: these results show that much care is required when using space–time data because they are often highly spatially correlated. In addition, the forecast quality is strongly influenced by the training spatial scale. For the application that is described herein, learning at the state scale is a good trade-off: it is specific to local conditions while keeping enough data for the calibration.

scholarly journals Penerapan Clinical Pathways sebagai Instrumen Pengendalian Biaya Pelayanan : Studi Penelitian Tindakan Penderita BPJS yang Menjalani Operasi Caesar dengan Sistem Pembayaran INA-CBG

2021 ◽  
Vol 4 (2) ◽  
pp. 593-599
Author(s):  
Annisa Fitria ◽  
Andri Sofa Armani ◽  
Thinni Nurul Rochmah ◽  
Bangun Trapsila Purwaka ◽  
Widodo Jatim Pudjirahardjo
Keyword(s):  
Action Research ◽  
Caesarean Section ◽  
Length Of Stay ◽  
Cesarean Section ◽  
Clinical Pathway ◽  
Average Length ◽  
Clinical Pathways ◽  
Hospital Costs ◽  
Average Length Of Stay ◽  
Length Of Hospitalization

This study aims to determine the effect of using clinical pathways to control total actual hospital costs for BPJS patients who undergo a cesarean section. The method used in this research is action research. The results showed that the average actual hospital costs were significantly higher after the application of CP with p = 0.019. The average length of stay, service costs, and hospital costs were significantly lower in the entire CP form group with p = 0.012, p = 0.013, and p = 0.012. In conclusion, this study shows that the application of clinical pathways can reduce the length of hospitalization and actual hospital costs for cesarean section patients and indicates that clinical pathways can make services more efficient.   Keywords: Hospital Costs, Clinical Pathway, Caesarean Section

Impact of postoperative haemoglobin on length of stay post fractured hip repair in patients with standardised perioperative management

2018 ◽  
Vol 29 (2) ◽  
pp. 172-176
Author(s):  
Siu-Wai Choi ◽  
Frankie K L Leung ◽  
Tak-Wing Lau ◽  
Gordon T C Wong
Keyword(s):  
Length Of Stay ◽  
Hospital Stay ◽  
Length Of Hospital Stay ◽  
Postoperative Recovery ◽  
Medical Complications ◽  
Fractured Neck Of Femur ◽  
Neck Of Femur ◽  
Total Length ◽  
The Impact ◽  
Postoperative Haemoglobin

Introduction: Perioperative blood transfusion is not without risk and effort should be made to limit patients’ exposure to allogeneic blood. However, there is conflicting data regarding the impact of anaemia on postoperative recovery in patients with repaired hip fractures. It is hypothesised that for a given baseline functional status and fracture type, lower postoperative haemoglobin will increase rehabilitation time and prolong total length of hospital stay. Methods: This is a retrospective study on data collected prospectively on patients entered into the Clinical Pathway aged >65 years admitted to Queen Mary Hospital (QMH) with a fractured neck of femur during 2011–2013. Potential predictor variables were analysed with linear regression with respect to total length of stay and those that reached a significance level of 0.05 were included in further analysis. Results: 1092 patients were admitted to QMH with a suspected fractured neck of femur; data from 747 patients were analysed. The fracture sites were neck of femur (50%), intertrochanteric (48%) and subtrochanteric fracture (2%). Approximately 30% of patients received blood transfusions. Of these only the development of postoperative medical complications statistically prolonged hospital stay. No relationship was seen with haemoglobin levels cut-off above and below 10 g/dl with the result remaining non-significant down to a cut-off of above and below 8 g/dl. Discussion: This study revealed that post-surgical haemoglobin level of between 8 g/dl and 10 g/dL did not have an impact on the total length of hospital stay. The development of postoperative medical complications was the only factor that prolonged the total length of stay.

Abstract 491: Racial Disparities in the Trends of Acute Myocardial Infarction Outcomes Among Medicaid Patients, 2007-2011

2017 ◽  
Vol 37 (suppl_1) ◽  
Author(s):  
Oluwole M Adegbala ◽  
Akintunde Akinjero ◽  
Samson Alliu ◽  
Adeyinka C Adejumo ◽  
Emmanuel Akintoye ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
African Americans ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Racial Disparities ◽  
Racial Differences ◽  
Length Of Hospital Stay ◽  
The United States ◽  
Racial Groups

Background: Although, in-hospital mortality from acute myocardial infarction (AMI) have declined in the United States recently, there is a gap in knowledge regarding racial differences in this trend. We sought to evaluate the effect of race on the trends in outcomes after Acute Myocardial Infarction among Medicaid patients in a nationwide cohort from 2007-2011 Methods: We extracted data from the Nationwide Inpatient Sample (NIS) for all hospitalizations between 2007 and 2011 for Medicaid patients aged 45 years or older with principal diagnosis of AMI using ICD-9-CM codes. Primary outcome of this study was all cause in-hospital mortality. We then stratified hospitalizations by racial groups; Whites, African Americans and Hispanics, and assessed the time trends of in-hospital mortality before and after multivariate analysis. Results: The overall mortality from AMI among Medicaid patients declined during the study period (8.80% in 2007 to 7.46% in 2011). In the adjusted models, compared to 2007, in-hospital mortality from AMI for Medicaid patients decreased across the 3 racial groups; Whites (aOR= 0.88, CI=0.70-0.99), African Americans (aOR=0.76, CI=0.57-1.01), Hispanics (aOR=0.87, CI=0.66-1.25). While the length of hospital stay declined significantly among African American and Hispanic with 2 days and 1.76 days decline respectively, the length of stay remained unchanged for Whites. There was non-significant increase in the incidence of stroke across the various racial groups; Whites (aOR= 1.23, CI=0.90 -1.69), African Americans (aOR=1.10, CI=0.73 -1.64), Hispanics (aOR=1.03, CI=0.68-1.55) when compared to 2007. Conclusion: In this study, we found that in-hospital mortality from AMI among Medicaid patients have declined across the racial groups. However, while the length of stay following AMI declined for African Americans and Hispanics with Medicaid insurance, it has remained unchanged for Whites. Future studies are necessary to identify determinants of these significant racial disparities in outcomes for AMI.

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