Targeted use of postoperative discharge phone calls to reduce early readmission rates.

OBJECTIVES: Postoperative readmissions are common and costly. Office-initiated phone calls to patients shortly after discharge may identify concerns and allow for early intervention to prevent readmission. We sought to evaluate our 30-day readmission rate after the implementation of a standardized postoperative discharge phone call (PODPC) intervention, compared with a historical aggregated cohort. METHODS: From July 2020 to 21, postoperative patients were prospectively identified at 48 hour after discharge. Medical assistants performed PODPCs, administering a survey designed to identify medical/surgical issues that could signify a complication and warrant escalation to a nurse practitioner (NP) for further management. Demographics, comorbidities, and procedure type were obtained retrospectively. Descriptive statistics were used to evaluate PODPC responses, frequency of escalation, readmission, and reasons. The electronic medical record identified a historical aggregated cohort (July 2018 to 2019) and the 30-day readmission rate. A χ2 analysis was used to compare readmission rates between the preintervention historical and PODPC intervention groups. Predictors of 30-day readmission were modeled with multivariable logistic regression. RESULTS: Of 411 PODPCs conducted, 106 patients (26%) reported not feeling well; having concerns. Eighty-four PODPCs (20%) triggered escalation to a NP; of these, 60 patients (71%) were counseled over the phone by an NP, 16 (19%) were brought into clinic, 6 (7%) were sent to the emergency department, and 2 (2%) did not answer the NP call. Of 411 patients, 17% (n = 68) were readmitted within 30 days. Comparatively, the historical aggregated cohort readmission rate was significantly higher at 28% (n = 346; P < .001). On multivariable analysis, chronic obstructive pulmonary disease (odds ratio [OR], 1.92; 95% confidence interval [CI], 1.01-3.65; P = .046), and feeling run down; having difficulty with movement; needing assistance for most activities (OR, 3.94; 95% CI, 2.09-7.43; P < .0001) were predictive of 30-day readmission when controlling for procedure type. CONCLUSIONS: Although readmissions remained common (>15%), being in the intervention cohort was associated with a significantly lower readmission rate compared with the historical aggregated cohort. One-fifth of PODPCs identified a concern; however, >90% of these could be managed by an NP by phone or in clinic. This PODPC intervention holds promise as a viable mechanism for decreasing readmissions.

Successful implementation of a nurse-navigator-run program using natural language processing identifying patients with an abdominal aortic aneurysm.

BACKGROUND: Abdominal aortic aneurysms (AAA) are often identified incidentally on imaging studies. Patients and/or providers are frequently unaware of these AAA and the need for long-term follow-up. We sought to evaluate the outcome of a nurse-navigator-run AAA program that uses a natural language processing (NLP) algorithm applied to the electronic medical record (EMR) to identify patients with imaging report-identified AAA not being followed actively. METHODS: A commercially available AAA-specific NLP system was run on EMR data at a large, academic, tertiary hospital with an 11-year historical look back (January 1, 2010, to June 2, 2021), to identify and characterize AAA. Beginning June 3, 2021, a direct link between the NLP system and the EMR enabled for real-time review of imaging reports for new AAA cases. A nurse-navigator (1.0 full-time equivalent) used software filters to categorize AAA according to predefined metrics, including repair status and adherence to Society for Vascular Surgery imaging surveillance protocol. The nurse-navigator then interfaced with patients and providers to reestablish care for patients not being followed actively. The nurse-navigator characterized patients as case closed (eg, deceased, appropriate follow-up elsewhere, refuses follow-up), cases awaiting review, and cases reviewed and placed in ongoing surveillance using AAA-specific software. The primary outcome measures were yield of surveillance imaging performed or scheduled, new clinic visits, and AAA operations for patients not being followed actively. RESULTS: During the prospective study period (January 1, 2021, to December 30, 2021), 6,340,505 imaging reports were processed by the NLP. After filtering for studies likely to include abdominal aorta, 243,889 imaging reports were evaluated, resulting in the identification of 6495 patients with AAA. Of these, 2937 cases were reviewed and closed, 1183 were reviewed and placed in ongoing surveillance, and 2375 are awaiting review. When stratifying those reviewed and placed in ongoing surveillance by maximum aortic diameter, 258 were 2.5 to 3.4 cm, 163 were 3.5 to 3.9 cm, 213 were 4 to 5 cm, and 49 were larger than 5 cm; 36 were saccular, 86 previously underwent open repair, 274 previously underwent endovascular repair, and 104 were other. This process yielded 29 new patient clinic visits, 40 finalized imaging studies, 29 scheduled imaging studies, and 4 AAA operations in 3 patients among patients not being followed actively. CONCLUSIONS: The application of an AAA program leveraging NLP successfully identifies patients with AAA not receiving appropriate surveillance or counseling and repair. This program offers an opportunity to improve best practice-based care across a large health system.

Financial implications of coronavirus disease 2019 on a tertiary academic vascular surgery practice.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact on the healthcare system in the United States. The redistribution of resources and suspension of elective procedures and other services has resulted in financial stress across all service lines. The financial effects on the practice of vascular surgery have not yet been quantified. We hypothesized that vascular surgery divisions have experienced losses affecting the hospital and professional sides that will not be recoupable without significant productivity increases. METHODS: Administrative claims data for clinical services performed by the vascular surgery division at a tertiary medical center for March and April 2019 and for March and April 2020 were analyzed. These claims were separated into two categories: hospital claims (inpatient and outpatient) and professional claims (professional reimbursement for all services provided). Medicare reimbursement methods were used to assign financial value: diagnosis-related group for inpatient services, ambulatory payment classification for outpatient services, and the Medicare physician fee schedule for professional reimbursement and work relative value units (wRVUs). Reimbursements and productivity (wRVUs) were compared between the two periods. A financial model was created to determine the increase in future productivity over baseline required to mitigate the losses incurred during the pandemic. RESULTS: A total of 11,317 vascular surgery claims were reviewed. Hospital reimbursement during the pandemic decreased from $4,982,114 to $2,649,521 (-47%) overall (inpatient, from $3,505,775 to $2,128,133 [-39%]; outpatient, from $1,476,339 to $521,388 [-65%]) and professional reimbursement decreased from $933,897 to $430,967 (-54%) compared with the same period in 2019. Professional productivity as measured by wRVUs sustained a similar decline from 10,478 wRVUs to 5386 wRVUs (-51%). Modeling sensitivity analyses demonstrated that if a vascular division were able to increase inpatient and outpatient revenue to greater than prepandemic levels by 10%, 5%, or 3%, it would take 9, 19, or 31 months, respectively, for the hospital to recover their pandemic-associated losses. Similarly, professional reimbursement recovery would require 11, 20, or 36 months with corresponding increases in productivity. CONCLUSIONS: The COVID-19 pandemic has had profound and lasting effects on the world in terms of lives lost and financial hardships. The financial effects on vascular surgery divisions has resulted in losses ranging from 39% to 65% compared with the prepandemic period in the previous year. Because the complete mitigation of losses is not feasible in the short term, alternative and novel strategies are needed to financially sustain the vascular division and hospital during a prolonged recovery period.

Trends in use of the only Food and Drug Administration-approved commercially available fenestrated endovascular aneurysm repair device in the United States.

BACKGROUND: Fenestrated endografts are customized, patient-specific, endovascular devices with potential to significantly reduce morbidity and mortality of short-neck infrarenal and juxtarenal abdominal aortic aneurysm repair. The Zenith fenestrated endovascular graft (ZFEN) for abdominal aortic aneurysms (Cook Medical, Bloomington, Ind), Food and Drug Administration-approved in 2012, remains the only fenestrated device available in the United States. This technology is among the most technically complex catheter-based procedures and, therefore, inherently associated with serious risk for device-related complications. We sought to define patterns of physician and hospital adoption of ZFEN. METHODS: Deidentified datasets containing numbers of physicians trained, orders by physicians and hospitals, and designs (fenestration/scallop configuration) was provided for U.S. ZFEN devices ordered (April 2012-August 2015). We evaluated the number of physicians trained, the number of devices ordered, hospital characteristics, and fenestration/scallop design configurations. Cook Medical assembled the datasets but played no role in study design, analysis, or interpretation of data. RESULTS: Between April 2012 and August 2015, 553 physicians attended formal ZFEN training sessions, 388 (70%) of whom ordered a total of 2669 devices. An increase in orders per month (nine in June 2012 and 91 in August 2015, 911% growth; P < .001) and in number of physicians ordering per month (eight in June 2012 and 62 in August 2015, 675% growth; P < .001) was observed. Teaching hospitals, representing all U.S. regions (Midwest 927, 35%; South 799, 30%; Northeast 547, 20%; West 396, 15%), accounted for 1703 (64%) ZFEN orders. Of 553 trained physicians, 165 (30%) ordered no devices, 116 (21%) ordered 1 device, 144 (26%) ordered 2-5 devices, 61 (11%) ordered 6-10 devices, 39 (7%) ordered 11-20, and 28 (5%) ordered >20 devices. For physicians contributing >6 months of data (n = 336), the average number of devices ordered per year was three (standard deviation, 4); 272 (81%) ordered ≤ 5 devices/year, 15 (4.5%) ordered 11-20 devices/year, and 3 (0.9%) ordered >20 devices/year. Of devices with design details available (2618 of 2669; 98%), most common designs were 2 small fenestrations/1 scallop (1443; 55%), 2 small fenestrations/1 large fenestration (568; 22%), 1 small fenestration/1 scallop (173, 6.6%), and 2 small fenestrations (169; 6.5%). The average number of target vessels incorporated in each design was 2.7/device; 2071 (79%) incorporated three, 398 (15%) incorporated two. CONCLUSIONS: Since 2012, ZFEN has demonstrated a ninefold increase in monthly orders, with 553 physicians trained. Unlike the experience of rapid dissemination seen with infrarenal endografts, only 28 (5%) physicians have ordered >20, whereas 165 (30%) have ordered none, and 272 (81%) ordered ≤ 5 devices/year. Assuming that volume, in general, correlates with outcomes, this adoption pattern raises questions whether fenestrated technology should be regionalized to high-volume centers.