Use of Structured Templates to Improve Completeness of Endocrinology Referrals.

OBJECTIVE: Endocrinology referrals frequently lack important clinical information, which may increase the risk of inefficiency and adverse outcomes. This quality improvement project aimed to improve the completeness of new referrals by utilizing structured referral templates for common endocrine conditions at a large Veterans Health Administration medical center. Our target was of at least a 30% improvement in referral completeness for each condition after the intervention. METHODS: Electronic structured referral templates were designed utilizing existing resources and input from primary care providers and endocrinologists. Essential elements were identified and included in the templates. We conducted a retrospective chart review to compare referrals for 125 patients referred between January 1, 2021 and September 1, 2021 (preintervention) and 125 patients referred between October 1, 2021 and September 30, 2022 (postintervention). Each referral was rated using a scoring system derived from the criteria in the data abstraction tool formulated by the investigators. RESULTS: On average, preintervention referrals included 52% of the essential elements and postintervention referrals included 93%. Improvements in referral scores for each condition all met the prespecified 30% improvement target. The greatest improvement was for the element "type of visit preference." A separate analysis excluding that element showed an average improvement from 64% of essential elements preintervention to 92% postintervention. CONCLUSION: Structured referral templates, designed with the input of primary care providers and endocrinologists and embedded into an electronic referral system, can improve the availability of essential information and increase the quality of referrals. Future work should examine the effect of structured referral templates on efficiency, specialist experience, patient experience of care, and clinical outcomes.

Comparison of Endocrinologists' Physical Examination Documentation for In-person vs Video Telehealth Diabetes Visits.

Objective: Outpatient diabetes mellitus (DM) care over video telehealth (TH) requires modifications to how endocrinologists complete physical examinations (PEs). But there is little guidance on what PE components to include, which may incur wide variation in practice. We compared endocrinologists' documentation of DM PE components for in-person (IP) vs TH visits. Methods: Retrospective chart review of 200 notes for new patients with DM from 10 endocrinologists (10 IP and 10 TH visits each) in the Veterans Health Administration between April 1, 2020, and April 1, 2022. Notes were scored from 0 to 10 based on documentation of 10 standard PE components. We compared mean PE scores for IP vs TH across all clinicians using mixed effects models. Independent samples t-tests were used to compare both mean PE scores within clinician and mean scores for each PE component across clinicians for IP vs TH. We described virtual care-specific and foot assessment techniques. Results: The overall mean (SE) PE score was higher for IP vs TH (8.3 [0.5] vs 2.2 [0.5]; P < .001). Every endocrinologist had higher PE scores for IP vs TH. Every PE component was more commonly documented for IP vs TH. Virtual care-specific techniques and foot assessment were rare. Conclusions: Our study quantifies the degree to which Pes for TH were attenuated among a sample of endocrinologists, raising a flag that process improvements and research are needed for virtual Pes. Organizational support and training could help increase PE completion via TH. Research should examine reliability and accuracy of virtual PE, its value to clinical decision-making, and its impact on clinical outcomes.

Variation in telehealth use for endocrine care: Patterns and predictors under the "new normal".

INTRODUCTION: Use of telehealth for outpatient endocrine care remains common since onset of the COVID-19 pandemic, though the context for its use has matured. We aimed to describe the variation in telehealth use for outpatient endocrine visits under these "new normal" conditions and examine the patient, clinician-, and organization-level factors predicting use. METHODS: Retrospective cross-sectional study using data from the U.S. Department of Veterans Affairs (VA) Corporate Data Warehouse on 167,017 endocrine visits conducted between 3/9/21 and 3/8/22. We used mixed effects logistic regression models to examine 1) use of telehealth vs. in-person care among all visits and 2) use of telephone vs. video among the subsample of telehealth visits. RESULTS: Visits were in person (58%), by telephone (29%), or by video (13%). Unique variability in telehealth use at each level of the analysis was 56% patient visit, 24% clinician, 18% facility. The strongest predictors were visit type (first vs. follow up) and clinician and facility characteristics. Among telehealth visits, unique variability in telephone (vs. video) use at each level was 44% patient visit, 24% clinician, 26% facility. The strongest predictors of telephone vs. video were visit type, patient age, and percent of the facility's population that was rural. CONCLUSIONS: We found wide variation in use of telehealth for endocrinology under the "new normal". Future research should examine clinician and facility factors driving variation, as many may be amenable to influence by clinical leaders and leveraged to enhance the availability of telehealth for all clinically appropriate patients.

Ketoacidosis associated with ketogenic diet in a non-diabetic lactating woman.

A 37-year-old woman who had 8 weeks post partum, breast feeding and on a low carbohydrate and high protein (ketogenic) diet, was admitted to the hospital with acute onset of nausea, vomiting and abdominal pain of 1-day duration. On admission, she was found to have high anion gap metabolic acidosis, elevated beta-hydroxybutyric acid level, normal glucose level and evidence of ketoacidosis. She was treated with lactated Ringer solution, along with dextrose 5% solution with the resolution of symptoms and metabolic derangement.