Background Typically, in-person follow-up in clinic is utilized after outpatient inguinal hernia repair. Studies have shown that phone follow-up may be successfully used for the detection of postoperative hernia recurrences. However, no studies have evaluated the detection rates of other postoperative complications, such as emergency department visits and readmissions, with the utilization of phone follow-up after inguinal hernia repair. The objective of our study was to investigate the safety of a phone follow-up care pathway following elective, outpatient inguinal hernia repair. Methods In this retrospective cohort study, adult patients who underwent elective, outpatient inguinal hernia repair between 2013 and 2019 at a large academic health system in the Midwest United States were identified from the electronic health record. Patients were categorized by type of postoperative follow-up: in-person or phone follow-up. Baseline demographics, operative, and postoperative data were compared between follow-up groups. Multivariable logistic regression was performed to investigate predictors of having any related emergency department (ED) visit/readmission/reoperation within 90 days. Results We included 2009 patients who underwent elective inguinal hernia repair during the study period. 321 patients had in-person follow-up only, while 1,688 patients had phone follow-up. There was a higher rate of laparoscopic repair in the phone follow-up group (85.4% vs. 53.0% for in-person follow-up). There were no differences in rates of related 90-day ED visits, readmissions, and reoperations between the phone and in-person follow-up groups. On multivariable logistic regression, receipt of phone follow-up was not a predictor of having 90-day ED visits, readmissions, or reoperations (OR 1.30, 95% CI [0.83, 2.05]). Conclusions Patients who underwent phone follow-up had similarly low rates of adverse outcomes to those with in-person follow-up. Phone follow-up protocols may be implemented as an alternative for patients and provide a means to decrease healthcare utilization following inguinal hernia repair. Keywords Hernia • inguinal • Telemedicine • Health services • Outcome assessment • health care Inguinal hernia repair is one of the most commonly performed general surgery procedures, with over 20 million repairs done worldwide annually [1, 2]. In the USA, over 700,000 inguinal hernia repairs are done each year [1]. With improvements in technology and technique, the safety profile of inguinal hernia repair has improved substantially, with mortality rates dropping to 0.2% [3]. The most common postoperative complications include surgical site complications, hernia recurrence, and chronic pain. However, these rates remain low overall. The rate of wound complications and surgical site infections are slightly higher and vary between 1 and 7% [3]. Hernia recurrences have been published to be between 1 and 3.5%, while the incidence of chronic pain is roughly 10% [3-5]. Inguinal hernia repair is typically done in an elective, outpatient set...

Objective: To compare outcomes after bariatric surgery between Medicaid and non-Medicaid patients and assess whether differences in social determinants of health were associated with postoperative weight loss. Background: The literature remains mixed on weight loss outcomes and healthcare utilization for Medicaid patients after bariatric surgery. It is unclear if social determinants of health geocoded at the neighborhood level are associated with outcomes. Methods: Patients who underwent laparoscopic sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) from 2008 to 2017 and had ≥1 year of follow-up within a large health system were included. Baseline characteristics, 90-day and 1-year outcomes, and weight loss were compared between Medicaid and non-Medicaid patients. Area deprivation index (ADI), urbanicity, and walkability were analyzed at the neighborhood level. Median regression with percent total body weight (TBW) loss as the outcome was used to assess predictors of weight loss after surgery. Results: Six hundred forty-seven patients met study criteria (191 Medicaid and 456 non-Medicaid). Medicaid patients had a higher 90-day readmission rate compared to non-Medicaid patients (19.9% vs 12.3%, P < 0.016). Weight loss was similar between Medicaid and non-Medicaid patients (23.1% vs 21.9% TBW loss, respectively; P = 0.266) at a median follow-up of 3.1 years. In adjusted analyses, Medicaid status, ADI, urbanicity, and walkability were not associated with weight loss outcomes. Conclusions: Medicaid status and social determinants of health at the neighborhood level were not associated with weight loss outcomes after bariatric surgery. These findings suggest that if Medicaid patients are appropriately selected for bariatric surgery, they can achieve equivalent outcomes as non-Medicaid patients.

Elderly patients with gastric cancer have better overall 5-year survival after receiving treatment for their cancer. Disparities in the use of treatment for curable cancers are associated with older age, black race, lower educational level, and diagnosis before 2007.

Background Studies have found associations between increasing BMIs and the development of various chronic health conditions. The BMI cut points, or thresholds beyond which comorbidity incidence can be accurately detected, are unknown. Objective The aim of this study is to identify whether BMI cut points exist for 11 obesity-related comorbidities. Methods US adults aged 18-75 years who had ≥3 health care visits at an academic medical center from 2008 to 2016 were identified from eHealth records. Pregnant patients, patients with cancer, and patients who had undergone bariatric surgery were excluded. Quantile regression, with BMI as the outcome, was used to evaluate the associations between BMI and disease incidence. A comorbidity was determined to have a cut point if the area under the receiver operating curve was >0.6. The cut point was defined as the BMI value that maximized the Youden index. Results We included 243,332 patients in the study cohort. The mean age and BMI were 46.8 (SD 15.3) years and 29.1 kg/m2, respectively. We found statistically significant associations between increasing BMIs and the incidence of all comorbidities except anxiety and cerebrovascular disease. Cut points were identified for hyperlipidemia (27.1 kg/m2), coronary artery disease (27.7 kg/m2), hypertension (28.4 kg/m2), osteoarthritis (28.7 kg/m2), obstructive sleep apnea (30.1 kg/m2), and type 2 diabetes (30.9 kg/m2). Conclusions The BMI cut points that accurately predicted the risks of developing 6 obesity-related comorbidities occurred when patients were overweight or barely met the criteria for class 1 obesity. Further studies using national, longitudinal data are needed to determine whether screening guidelines for appropriate comorbidities may need to be revised.

Background: Numerous studies have reported that losing as little as 5% of one’s total body weight (TBW) can improve health, but no studies have used electronic health record data to examine long-term changes in weight, particularly for adults with severe obesity [body mass index (BMI) ≥35 kg/m2]. Objective: To measure long-term weight changes and examine their predictors for adults in a large academic health care system. Research Design: Observational study. Subjects: We included 59,816 patients aged 18–70 years who had at least 2 BMI measurements 5 years apart. Patients who were underweight, pregnant, diagnosed with cancer, or had undergone bariatric surgery were excluded. Measures: Over a 5-year period: (1) ≥5% TBW loss; (2) weight loss into a nonobese BMI category (BMI <30 kg/m2); and (3) predictors of %TBW change via quantile regression. Results: Of those with class 2 or 3 obesity, 24.2% and 27.8%, respectively, lost at least 5% TBW. Only 3.2% and 0.2% of patients with class 2 and 3 obesity, respectively, lost enough weight to attain a BMI <30 kg/m2. In quantile regression, the median weight change for the population was a net gain of 2.5% TBW. Conclusions: Although adults with severe obesity were more likely to lose at least 5% TBW compared with overweight patients and patients with class 1 obesity, sufficient weight loss to attain a nonobese weight class was very uncommon. The pattern of ongoing weight gain found in our study population requires solutions at societal and health systems levels.