ABSTRACT
Introduction In outpatient surgery, post-discharge follow-up calls are essential for identifying complications and are considered a cost-effective intervention. Currently, there is a lack of scientific evidence to support the development and validation of standardized protocols adjusted to patients' specificities. Our aim is to develop a personalized model for our outpatient surgery unit (OSU) to create an individualized follow-up strategy in the future. Material and methods We performed a retrospective, cohort, single-center study, including patients undergoing surgery at an OSU of a tertiary hospital in Portugal, for three months. Follow-up calls were performed on the seventh and fourteenth days after discharge. The variables analyzed included: sex, age, surgical specialty, anesthetic technique, American Society of Anesthesiologists (ASA) physical status classification, surgery duration, and complications. A binary logistic regression was adjusted for the complications detected in each call. Results Nine-hundred eighty-four (984) patients were included, of which 79.8% (n=785) and 75.3% (n=741) answered the follow-up calls on the seventh and fourteenth days after discharge, respectively. Complications were reported in 47.1% (n=370) and 29.8% (n=221) of these calls, respectively, with pain having the highest incidence rate (44.7% in the first call; 26.6% in the second). The type of anesthesia and surgical specialty were independent risk factors for complications (p<0.001). Each minute increase in surgery duration increased by 1.1% the odds of complications (95% confidence interval 1.003-1.018) in the first call. Compared with no anesthesiology involvement, general anesthesia, regional anesthesia, and monitored anesthetic care are 2.52, 2.04, and 1.75 times more likely to have complications detected in the first call and 3.21, 2.36, and 3.11 times more likely to have complications on the second (p<0.05 for all). A model that predicts the detection of complications in each call was created. Discussion Outpatient surgery may allow procedures to be carried out safely, efficiently, and cost-effectively. To optimize the outcomes, it is important to quantify results as a tool for honing our strategies. The present study recognized the influence of several variables in the incidence of post-discharge complications. Also, considering the complications reported, pain was the most frequent among the reports and should not be neglected. In our reality, no follow-up calls are routinely performed after the seventh day, and complications were reported in that period, meaning some patients probably should be accompanied for a longer period. Conclusions To ensure the quality of care and patient safety and satisfaction, it is essential to identify and manage postoperative complications. Despite not being a routine contact, the incidence rate of complications on the seventh and fourteenth postoperative days is noted. According to our investigation, the type of anesthesia, surgical specialty, and duration of surgery should be carefully considered when establishing individualized follow-up plans. These plans, using tools adjusted to the population of each OSU, such as the calculator presented, may allow the available resources to be used with the greatest potential benefit for both patients and healthcare systems.