Explaining Variability in Electronic Health Record Effort in Primary Care Ambulatory Encounters.

BACKGROUND: Electronic health record (EHR) user interface event logs are fast providing another perspective on the value and efficiency EHR technology brings to health care. Analysis of these detailed usage data has demonstrated their potential to identify EHR and clinical process design factors related to user efficiency, satisfaction, and burnout. OBJECTIVE: This study aimed to analyze the event log data across 26 different health systems to determine the variability of use of a single vendor's EHR based on four event log metrics, at the individual, practice group, and health system levels. METHODS: We obtained de-identified event log data recorded from June 1, 2018, to May 31, 2019, from 26 health systems' primary care physicians. We estimated the variability in total Active EHR Time, Documentation Time, Chart Review Time, and Ordering Time across health systems, practice groups, and individual physicians. RESULTS: In total, 5,444 physicians (Family Medicine: 3,042 and Internal Medicine: 2,422) provided care in a total of 2,285 different practices nested in 26 health systems. Health systems explain 1.29, 3.55, 3.45, and 3.30% of the total variability in Active Time, Documentation Time, Chart Review Time, and Ordering Time, respectively. Practice-level variability was estimated to be 7.96, 13.52, 8.39, and 5.57%, respectively, and individual physicians explained the largest proportion of the variability for those same outcomes 17.09, 27.49, 17.51, and 19.75%, respectively. CONCLUSION: The most variable physician EHR usage patterns occurs at the individual physician level and decreases as you move up to the practice and health system levels. This suggests that interventions to improve individual users' EHR usage efficiency may have the most potential impact compared with those directed at health system or practice levels.

Risk Assessment and Coronary Artery Calcium Scoring in Transgender and Gender-Diverse Individuals Receiving Gender-Affirming Hormone Therapy.

OBJECTIVE: To evaluate cardiovascular risk factors and prevalent coronary artery disease (CAD) using Coronary Artery Calcium (CAC) scoring in transgender and gender-diverse (TGD) individuals receiving gender-affirming hormone therapy (GAHT) and compare the CAC scores of TGD individuals with those of the general population. METHODS: TGD individuals aged ≥30 years, without known risk factors for cardiovascular disease (CVD), other than tobacco use and family history of CVD, on GAHT were recruited, and baseline information, including metabolic parameters, was collected. CAC scores were obtained and compared with those of a cisgender age-matched population. RESULTS: Of 25 transwomen recruited, 24 underwent CAC scans. Of them, 2 (8.3%) had a CAC score of >0 to 99 and 1 (4.1%) had a CAC score of ≥100. Of 22 transmen recruited, 16 underwent CAC scans. Of them, 26 (12.5%) had a CAC score of >0 to 99 and none had a CAC score of ≥100. Framingham Risk Scores were not correlated with the presence of CAC. CONCLUSION: The presence of CAC in this small cohort of TGD individuals on GAHT was similar to that in the cisgender age-matched population. CAC scoring is a means to assess the prevalence of CAD in TGD individuals and identify those in whom aggressive risk reduction is indicated.

Unplanned reoperations after microsurgical breast reconstruction: Findings from the American College of Surgeons National Surgical Quality Improvement Program.

BACKGROUND: While microsurgical breast reconstruction may require multiple planned operations, unplanned reoperations has not been studied. We sought to investigate unplanned reoperations after microsurgical breast reconstruction. METHODS: We queried the American College of Surgeons' National Surgical Quality Improvement Program between 2005 and 2018. Current Procedural Terminology code 19364 was used to identify all patients with microsurgical breast reconstruction. Patient demographics, medical comorbidities, preoperative laboratory results, and operative data were analyzed. The primary outcome measure was 30-day unplanned reoperation. RESULTS: Of 8449 patients meeting inclusion criteria, 1021 required an unplanned reoperation (12.1%). These patients were more likely to be obese, smokers, hypertensive, on steroids preoperatively, needing concomitant mastectomy, and with prolonged operating room time >9 h (p < .05). Multivariable regression model revealed preoperative steroids intake (OR = 1.92, CI 1.09-3.38, p = .03), concomitant mastectomy (OR = 1.45, CI 1.23-1.71, p < .01), and operating room time >9 h (OR = 1.37, CI 1.16-1.62, p < .01) as independent risk factors. Mastectomy was found to be an independent risk factor for early reoperation, that is, ≤2 days (OR = 1.44, CI 1.14-1.82, p < .01), whereas obesity was an independent risk factor for three reoperations (OR = 3.92, CI 1.14-13.46, p = .03). CONCLUSION: Unplanned reoperations within 30-days after microsurgical breast reconstruction are a significant problem. Mastectomy is an independent risk factor for early reoperation whereas obesity is an independent risk factor for multiple reoperations. Identification of such patients preoperatively may help microsurgeons improve patient safety and quality of care.

Preoperative vitamin D deficiency is associated with increased risk of postoperative hypocalcemia after total thyroidectomy.

Prior single-institution studies suggest that preoperative vitamin D deficiency (VDD) is associated with postoperative hypocalcemia and a prolonged length of hospital stay following total thyroidectomy. In this study, we employ a multi-institutional, de-identified electronic health records database to address this issue. We hypothesize that total thyroidectomy patients with preoperative VDD will be at an increased associated risk of postoperative hypocalcemia and hospitalization. Using Cerner Health Facts, we identified 2447 patients who underwent total or subtotal thyroidectomy between 2008 and 2016 and who had a documented 25-hydroxyvitamin D concentration obtained within 12 months of the surgery date using International Classification of Diseases 9/10, Current Procedural Terminology and Healthcare Common Procedure Coding System codes. Data from 984 patients who underwent total thyroidectomy were analyzed. Analysis of variance models estimated the effect of VDD on postoperative numerical variables. Multiple logistic regression estimated the risk of postoperative hypocalcemia and hospital stay, adjusting for any imbalanced demographic variables and operative characteristics. On average, postoperative total calcium concentrations in the VDD group were lower by 0.3 mg/dL compared with that of the non-VDD group (p<0.01). The risk of postoperative hypocalcemia was 2.2 times higher in the VDD group compared with the non-VDD group (p<0.01). Although the length of hospital stay after thyroidectomy was longer in the VDD group compared with the non-VDD group (p=0.03), VDD is not an independent risk factor for prolonged hospitalization following thyroidectomy (p=0.13). VDD is associated with a higher risk of hypocalcemia following total thyroidectomy. Prethyroidectomy operative screening for VDD should be considered.