Journal of Healthcare Quality Research最新文献

Background

Total hip arthroplasty (THA) and hemiarthroplasty are common treatments for severe hip joint disease. To predict the probability of re-admission after discharge when patients are hospitalized will support providing appropriate health education and guidance.

Methods

The research aims to use logistic regression (LR), decision trees (DT), random forests (RF), and artificial neural networks (ANN) to establish predictive models and compare their performances on re-admissions within 30 days after THA or hemiarthroplasty. The data of this study includes patient demographics, physiological measurements, disease history, and clinical laboratory test results.

Results

There were 508 and 309 patients in the THA and hemiarthroplasty studies respectively from September 2016 to December 2018. The accuracies of the four models LR, DT, RF, and ANN in the THA experiment are 94.3%, 93.2%, 97.3%, and 93.9%, respectively. In the hemiarthroplasty experiment, the accuracies of the four models are 92.4%, 86.1%, 94.2%, and 94.8%, respectively. Among these, we found that the RF model has the best sensitivity and ANN model has the best area under the receiver operating characteristic (AUROC) score in both experiments.

Conclusions

The THA experiment confirmed that the performance of the RF model is better than the other models. The key factors affecting the prognosis after THA surgery are creatinine, sodium, anesthesia duration, and dialysis. In the hemiarthroplasty experiment, the ANN model showed more accurate results. Poor kidney function increases the risk of hospital re-admission. This research highlights that RF and ANN model perform well on the hip replacement surgery outcome prediction.

Objective

Clinical breast cancer decision-making significantly affects life expectancy and management of hospital resources. The aims of the present study were to estimate the time of survival for breast cancer patients and to identify independent factors from healthcare delivery associated with survival rates in a specific health area of Northern of Spain.

Methods

Survival analysis was conducted among a cohort of 2545 patients diagnosed with breast cancer between 2006 and 2012 from the population breast cancer registry of Asturias-Spain and followed up till 2019. Adjusted Cox proportional hazard models were used to identify the independent prognostic factors of all-cause from death.

Results

The 5-year survival rate was 80%. Advanced age (>80 years) (hazard ratio, HR: 4.35; 95% confidence interval, CI: 3.41–5.54), hospitalization in small hospitals (HR: 1.46; 95% CI: 1.09–1.97), treatment in oncology wards (HR: 3.57; 95% CI: 2.41–5.27), and length of stay >30 days (HR: 2.24; 95% CI: 1.32–3.79) were the main predictors of death. By contrast, breast cancer suspected via screening was associated with a lower risk of death (HR: 0.55; 95% CI: 0.35–0.87).

Conclusion

There is room for improvement in survival rates after breast cancer in the health area of Asturias (Northern of Spain). Some healthcare delivery factors, and other clinical characteristics of the tumor influence the survival of breast cancer patients. Strengthening population screening programs could be relevant to increasing survival rates.

Introduction

high-oxygen nasal cannulas in patients with respiratory failure secondary to SARS-CoV-2 pneumonia have not been studied from a cost-effectiveness point of view.

Methods

Retrospective analysis of patients who had entered the COVID-area of an intensive medicine service in a third reference hospital, between March-December 2020. An effectiveness cost analysis was carried out comparing 2 therapeutic decisions: the experimental strategy was defined as a mixed strategy consisting of the initial application of high flow nasal oxygen (HFNO) and application of VMI only to HFNO failures. The optimal rational decision was defined as maximizing expected profit, and economic efficiency was assessed by calculating the Incremental Cost-Effectiveness Ratio (ICER) for years of life gained.

Results

Of the 185 patients tested, 101 (55%) received invasive mechanical ventilation immediately and 84 (45%) were treated with HFNO at the outset. In the cost-effectiveness analysis, comparing both therapeutic strategies, the probability that the experimental strategy would be more effective was 0.974, reaching statistical significance: Difference in average proportions -0.113; 95% CI:-0.018 to -0.208. This corresponds to an NNT of 9 patients. The optimal decision was HFNO's strategy followed by VMI in HFNO failures. This option had an RCEI of 5582 euros per year of life gained.

Conclusions

It is important to establish in the future reliable markers in the use of HFNO so that this therapy improves its cost-effective benefits.

Ethical dilemmas take importance in current medical practice, especially at the end of life. Limitation of therapeutic effort, understood as not starting or withdrawing life support measures, is an alternative to preserve patient dignity when death approaches. Ethical dilemmas in this context have been widely studied in adults; not in children, in which the big psychological tension experienced by parents and professionals makes difficult to take accepted and consensual ethical decisions. The objective of this work has been to understand the concept of limitation of therapeutic effort and the deontological principles that support them in the pediatric field. The purpose was none other than to establish improvements in dying children whom peculiar life-end makes necessary a different approach of adults and an ethical conceptual clarification which justify LET practice in youngers.

Introduction

It is essential to admit patients to hospital in an efficient way in order to use resources rationally. Short hospitalary stays are hospitalizations which does not include 00:00 h and are considered avoidable. This study describes trends and characteristics of short stays throughout 25 years in our hospital.

Patients and methods

We analyzed hospital pediatric discharges in a second-level hospital through the registration system «conjunto mínimo básico de datos». We categorized pediatric patients and newborn patients in two groups according to length of hospital stay: «short stays» and «prolonged stays». We analyzed and compared the following variables: gender, age, type of admission, month, diagnosis-related groups (DRG) and admission service. Binary logistic regression analysis and assessment of trends through joinpoint regression analysis were performed.

Results

From 1993 to 2017, 45710 children were admitted to our hospital, of which 7.3% were short stays. The trend analysis showed a point of change upwards–downwards at the beginning of the millennium. Pediatric short stays: the most important variables were emergency admissions (89%), urgent transfers (9%), month December (11%) and main diagnosis category: nervous system (18%). Mean diagnosis-related groups cost was 2432 ± 1115€ in short stays group and 2549 ± 1065€ in prolonged stays.

Conclusions

Short stays and prolonged stays show a falling trend in our hospital. Short stays percentage in our environment is similar to other neighbor countries. Some of our short stays are urgent transfers and admissions for clinical observation. We did not find clinical significance in weight or cost of pediatric patients’ DRG comparing to prolonged stays.