ArticleRisk management and healthcare policy2023
Diagnosis Related Groups of Patients Admitted from an Urban Academic Medical Center to a Virtual Hybrid Hospital-at-Home Program.
Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Communication strategies amongst healthcare professionals, patients and caregivers in Hospital-at-Home Admission Avoidance models for acutely ill older adults: a scoping review.European geriatric medicine · 2026Review
- The impact of public hospital performance-based pay scheme reform on revenue structure and service efficiency under the Diagnosis-Intervention Packet payment system: evidence from a pilot city in China.BMC health services research · 2026Article
- The impact of DIP payment reform on hospitalization costs and equity in type 2 diabetes mellitus patients: evidence from a pilot city in Central China.Frontiers in public health · 2026Article
- Virtual Health Care in Hospital-at-Home Models for Patients With Acute Infections: A Scoping Review.Mayo Clinic proceedings. Digital health · 2025Review
- Octreotide infusion as a treatment for hepatic hydrothorax in a hospital-at-home program: case report from Mayo Clinic.Therapeutic advances in gastroenterology · 2025Article
- The Impact of a Hybrid Hospital at Home Program in Reducing Subacute Rehabilitation.Risk management and healthcare policy · 2023Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Background: The diagnosis related group (DRG) is used as an economic patient classification system based on clinical characteristics, hospital stay, and treatment costs. Mayo Clinic's virtual hybrid hospital-at-home program, advanced care at home (ACH), offers high-acuity home inpatient care for a variety of diagnosis. This study aimed to determine the DRGs admitted to the ACH program at an urban academic center. Methods: A retrospective study was performed on all patients discharged from the ACH program at Mayo Clinic Florida from July 6, 2020, to February 1, 2022. DRG data were extracted from the Electronic Health Record (EHR). Categorization of DRG was done by systems. Results: The ACH program discharged 451 patients with DRGs. Categorization of the DRG demonstrated that the most frequent code assigned corresponded to respiratory infections (20.2%), followed by septicemia (12.9%), heart failure (8.9%), renal failure (4.9%), and cellulitis (4.0%). Conclusion: The ACH program covers a wide range of high-acuity diagnosis across multiple medical specialties at its urban academic medical campus, including respiratory infections, severe sepsis, congestive heart failure, and renal failure, all with major complications or comorbidities. The ACH model of care may be useful in taking care of patients with similar diagnosis at other urban academic medical institutions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.