Cost analysis of the enhanced recovery after surgery protocol applied in advanced ovarian cancer: A secondary outcome of the PROFAST trial.

INTRODUCTION: A randomised trial implementing Enhanced Recovery After Surgery (ERAS) for high complexity advanced ovarian cancer (AOC) surgery (PROFAST) demonstrated a reduction of median length of stay and hospital readmissions when compared to patients managed conventionally. One secondary objective was to determine if an ERAS pathway in the perioperative management of advanced ovarian cancer patients led to cost savings. MATERIAL AND METHODS: Secondary objective of a prospective randomised trial of patients with suspected or diagnosed advanced ovarian cancer allocated to conventional or ERAS perioperative management, carried out at a referral centre from June 2014 to March 2018. Treatment was determined by a computer-generated random allocation system. METHODS: Gross counting was employed to estimate the cost of hospitalisation in wards, intensive care unit (ICU) and surgical care, while micro-costing was used to obtain image and laboratory test costs. Mean costs between trial arms were considered. Sensitivity analyses were performed. RESULTS: Ninety-nine patients (n = 50 ERAS group, n = 49 Conventional group) were included. Mean costs per patient were 10,719€ in the ERAS group and 11,028€ in the conventional group, leading to an average saving of 309€ per patient. These results were based on 96 patients, excluding 3 extreme outliers mainly related with very high ICU costs. Savings, which were significant for hospital ward costs (-33% total; 759€ per patient in first hospitalisation, and 914€ per partient/day of readmission) were found as robust in the sensitivity analysis. CONCLUSIONS: Implementation of an ERAS pathway leads to cost savings when compared to conventional management after AOC surgery.

Transforming a public university hospital and its area of influence into a comprehensive resource in response to the COVID-19 pandemic.

INTRODUCTION AND OBJECTIVES: The outbreak of COVID-19 has overwhelmed healthcare systems all over the world. The aim of this article is to describe the process of transforming the Vall d'Hebron University Hospital, the second largest hospital in Spain, into a COVID-19 centre coordinating response to the pandemic in its reference area. MATERIALS AND METHODS: The study draws on the experience of the authors in transforming the hospital into a comprehensive resource in response to the COVID-19 pandemic. The strategy is based on four central strategies: early planning, coordination of all healthcare agents in its reference area, definition of clear leadership roles, and the organisation of care based on multidisciplinary teams with minimal recruitment of new staff. RESULTS: The transformation strategy enabled the hospital to cope with the surge in patients without exceeding its capacity. During the response phases, which amounted to a period of 57 days, 3106 patients consulted the ER and 2054 were admitted, 346 of whom were treated at the ICU. To accommodate the number of adult COVID-19 patients, adult ICU availability was progressive increased by 371%, and ordinary beds increased by 240. A total of 671 staff members went on sick leave after testing positive for COVID-19. CONCLUSION: The transformation experience of the hospital provides insight into how effectively adapt the structures and functioning of large hospitals. The relevance of territorial coordination during the pandemic is stressed as an effective strategy that contributed coping the pandemic.

Patient perceptions of continuity of health care and associated factors. Cross-sectional study in municipalities of central Colombia and north-eastern Brazil.

Despite the fragmentation of healthcare provision being considered one of the main obstacles to attaining effective health care in Latin America, very little is known about patients' perceptions. This paper analyses the level of continuity of health care perceived by users and explores influencing factors in two municipalities of Colombia and Brazil, by means of a cross-sectional study based on a survey of a multistage probability sample of people who had suffered at least one health problem within the previous three months (2163 in Colombia; 2167 in Brazil). An adapted and validated version of the CCAENA© (Questionnaire of care continuity across levels of health care) was applied. Logistic regression models were generated to assess the relationship between perceptions of the different types of health care continuity and sociodemographic characteristics, health needs, and organizational factors. The results show lower levels of continuity across care levels in information transfer and care coherence and higher levels for the ongoing patient-doctor relationship, albeit with differences between the two countries. They also show greater consistency of doctors in the Brazilian study areas, especially in primary care. Consistency of doctors was not only positively associated with the patient-doctor ongoing relationship in the study areas of both countries, but also with information transfer and care coherence across care levels. The study area and health needs (the latter negatively for patients with poor self-rated health and positively for those with at least one chronic condition) were associated with all types of continuity of care. The influence of the sex or income varied depending on the country. The influence of the insurance scheme in the Colombian sample was not statistically significant. Both countries should implement policies to improve coordination between care levels, especially regarding information transfer and job stability for primary care doctors, both key factors to guarantee quality of care.