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Older adults comprise an increasing proportion of emergency general surgery (EGS) admissions and face high morbidity and mortality. We created a geriatric surgical service with geriatric and palliative expertise to mitigate risks of hospitalization most hazardous to older patients. We sought to identify geriatric surgical service interventions most relevant to EGS patients.We prospectively identified patients ≥75 years admitted to the EGS service at an urban tertiary care hospital from January 2020-March 2021 who screened positive for frailty (FRAIL score ≥3 [scale 0-5, higher being worse]) or with cognitive impairment. A pilot geriatric surgical service, led by a dually-board certified geriatric and palliative care specialist, conducted a comprehensive geriatric assessment and modified Rockwood Frailty Index calculation for each eligible patient. Patient, hospital admission, and geriatric consultation characteristics were collected via chart review.Fifty consecutive patients (median age 82 years [IQR 78-90], 56% female) received geriatric consultation (median time 3 days [IQR 1-6] from admission). The most common admission diagnosis was bowel obstruction (32%). Sixty-four percent of patients underwent ≥1 surgical procedure. Using the Frailty Index, 64% were moderately or severely frail. Interventions most frequently performed by the geriatric team included delirium prevention and management (66%), consideration of swallowing function (52%), individualized pain management (50%), and facilitation of serious illness conversations (58%).Geriatric service involvement addresses a high burden of both geriatric and palliative care needs in older EGS patients. Geriatric recommendations may direct interventions for surgical education in fundamental geriatric and palliative care knowledge to maximize geriatric resources for the most high-risk patients.

Objectives: Achieving accurate, timely, and complete HIV surveillance data is complicated in the United States by migration and care seeking across jurisdictional boundaries. To address these issues, public health entities use the ATra Black Box—a secure, electronic, privacy-assuring system developed by Georgetown University—to identify and confirm potential duplicate case records, exchange data, and perform other analytics to improve the quality of data in the Enhanced HIV/AIDS Reporting System (eHARS). We aimed to evaluate the ability of 2 ATra software algorithms to identify potential duplicate case-pairs across 6 jurisdictions for people living with diagnosed HIV. Methods: We implemented 2 matching algorithms for identifying potential duplicate case-pairs in ATra software. The Single Name Matching Algorithm examines only 1 name for a person, whereas the All Names Matching Algorithm examines all names in eHARS for a person. Six public health jurisdictions used the algorithms. We compared outputs for the overall number of potential matches and changes in matching level. Results: The All Names Matching Algorithm found more matches than the Single Name Matching Algorithm and increased levels of match. The All Names Matching Algorithm identified 9070 (4.5%) more duplicate matches than the Single Name Matching Algorithm (n = 198 828) and increased the total number of matches at the exact through high levels by 15.4% (from 167 156 to 192 932; n = 25 776). Conclusions: HIV data quality across multiple jurisdictions can be improved by using all known first and last names of people living with diagnosed HIV that match with eHARS rather than using only 1 first and last name.