Latin American surgical outcomes study: study protocol for a multicentre international observational cohort study of patient outcomes after surgery in Latin American countries.

Background: Reported data suggest that 4.2 million deaths will occur within 30 days of surgery worldwide each year, half of which are in low- and middle-income countries. Postoperative complications are a leading cause of long-term morbidity and mortality. Patients who survive and leave the hospital after surgical complications regularly experience reductions in long-term survival and functional independence, resulting in increased costs. With a high volume of surgery performed, there is a growing perception of the substantial impact of even minor enhancements in perioperative care. The Latin American Surgical Outcomes Study (LASOS) is an international, multicentre, prospective cohort study of adults submitted to in-patient surgery in Latin America aiming to provide detailed data describing postoperative complications and surgical mortality. Methods: LASOS is a 7 day cohort study of adults undergoing surgery in Latin America. Details of preoperative risk factors, intraoperative care, and postoperative outcomes will be collected. The primary outcome will be in-hospital postoperative complications of any cause. Secondary outcomes include in-hospital all-cause mortality, duration of hospital stay after surgery, and admission to a critical care unit within 30 days after surgery during the index hospitalisation. Results: The LASOS results will be published in peer-reviewed journals, reported and presented at international meetings, and widely disseminated to patients and public in participating countries via mainstream and social media. Conclusions: The LASOS may augment our understanding of postoperative complications and surgial mortality in Latin America. Clinical trial registration: NCT05169164.

Quality Improvement to Address Surgical Burden of Disease at a Large Tertiary Public Hospital in Peru.

BACKGROUND: In resource-limited settings, there is a unique opportunity for using process improvement strategies to address the lack of access to surgical care. By implementing organizational changes in the surgical admission process, we aimed to decrease wait times, increase surgical volume, and improve patient satisfaction for elective general surgery procedures at a public tertiary hospital in Lima, Peru. METHODS: During the first phase of the intervention, Plan-Do-Study-Act (PDSA) cycles were performed to ensure the surgery waitlist included up-to-date clinical information. In the second phase, Lean Six Sigma methodology was used to adapt the admission and scheduling process for elective general surgery patients. After six months, outcomes were compared to baseline data using Wilcoxon rank-sum test. RESULTS: At the conclusion of phase one, 87.0% (488/561) of patients on the new waitlist had all relevant clinical data documented, improved from 13.3% (2/15) for the pre-existing list. Time from admission to discharge for all surgeries improved from 5 to 4 days (p<0.05) after the intervention. Median wait times from admission to operation for elective surgeries were unchanged at 4 days (p=0.076) pre- and post-intervention. There was a trend toward increased weekly elective surgical volume from a median of 9 to 13 cases (p=0.24) and increased patient satisfaction rates for elective surgery from 80.5 to 83.8% (p=0.62), although these were not statistically significant. CONCLUSION: The process for scheduling and admitting elective surgical patients became more efficient after our intervention. Time from admission to discharge for all surgical patients improved significantly. Other measured outcomes improved, though not with statistical significance. Main challenges included gaining buy-in from all participants and disruptions in surgical services from bed shortages.

COVID-19 Trends in the Phoenix Metropolitan Area from a Mobile Testing Program: Last Quarter of 2020.

The coronavirus (COVID-19) pandemic continues to be a public health concern, and Arizona has once again been a COVID-19 hotspot, peaking at 118.3 cases per 100,000. Understanding the trends in COVID-19 positivity rates over time is crucial in planning and mitigation of the virus. This current study analyzes the trends in COVID-19 testing, and COVID-19 antigen and antibody positivity rates over a 3-month time-span from October to December 2020. A retrospective study was conducted collecting data from a mobile testing program during October to December 2020 in the Phoenix metropolitan area. COVID-19 antigen and antibody positivity rates were analyzed. A total of 6710 patients were included in the study. As the months progressed, more patients were tested (October: 1635; November: 2037; December: 3038). The COVID-19 antigen positivity rate was significantly higher in December, compared to October and November (13.43% vs. 11.43 and 10.86%, p = 0.021). COVID-19 IgG rates were also significantly higher in November and December, compared to October (16.65 and 16.50% vs. 8.74%, p < 0.001). There was a progressive increase in COVID-19 positivity cases towards the end of 2020, likely attributed to factors including social gatherings during the holidays and the relaxing of the closure restrictions. Continued public health measures is crucial in preventing the spread of COVID-19.