Strategies to prevent readmission in high-risk patients with diabetes: the importance of an interdisciplinary approach
Abstract
Purpose of review Patients with diabetes are known to have higher 30-day readmission rates compared to the general inpatient population. A number of strategies have been shown to be effective in lowering readmission rates. Recent findings A review of the current literature revealed several strategies that have been associated with a decreased risk of readmission in high-risk patients with diabetes. These strategies include inpatient diabetes survival skills education and medication reconciliation prior to discharge to send the patient home with the "right" medications. Other key strategies include scheduling a follow-up phone call soon after discharge and an office visit to adjust the diabetes regimen. The authors identified the most successful strategies to reduce readmissions as well as some institutional barriers to following a transitional care program. Recent studies have identified risk factors in the diabetes population that are associated with an increased risk of readmission as well as interventions to lower this risk. A standardized transitional care program that focuses on providing interventions while reducing barriers to implementation can contribute to a decreased risk of readmission.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Factors contributing to readmission among people with diabetes include male sex, longer duration of prior hospitalization, number of previous hospitalizations, number and severity of comorbidities, and lower socioeconomic and/or educational status.
“Factors contributing to readmission include male sex, longer duration of prior hospitalization, number of previous hospitalizations, number and severity of comorbidities, and lower socioeconomic and/or educational status”
From 16. Diabetes Care in the Hospital: Standards of Care in Diabetes—2026 (2026) · cites this paper as [184]
The hospital readmission rate for people with diabetes is nearly twice that for people without diabetes.
“which is nearly twice that for people without diabetes (184,190).”
From 16. Diabetes Care in the Hospital: Standards of Care in Diabetes—2026 (2026) · cites this paper as [184]
Factors that may reduce readmission rates among people with diabetes include scheduled home health visits and timely ambulatory follow-up care.
“factors that may reduce readmission rates include scheduled home health visits and timely ambulatory follow-up care (184,190).”
From 16. Diabetes Care in the Hospital: Standards of Care in Diabetes—2026 (2026) · cites this paper as [184]
There is no standardized protocol to prevent readmissions among people with diabetes.
“While there is no standardized protocol to prevent readmissions”
From 16. Diabetes Care in the Hospital: Standards of Care in Diabetes—2026 (2026) · cites this paper as [184]
For people with diabetes, the hospital readmission rate is between 14% and 20%.
“For people with diabetes, the hospital readmission rate is between 14% and 20%”
From 16. Diabetes Care in the Hospital: Standards of Care in Diabetes—2026 (2026) · cites this paper as [184]
Several successful strategies to prevent readmissions have been reported that identify high-risk individuals and offer possible solutions.
“several successful strategies have been reported that identify high-risk individuals and offer some possible solutions (184).”
From 16. Diabetes Care in the Hospital: Standards of Care in Diabetes—2026 (2026) · cites this paper as [184]
Cited by
Sorted by citations
16. Diabetes Care in the Hospital: Standards of Care in Diabetes—2026
American Diabetes Association Professional Practice Committee for Diabetes*, Bajaj, M., McCoy, R. G., Balapattabi, K., Bannuru, R. R., Bellini, N. J., Bennett, A. K., Beverly, E. A., Briggs Early, K., ChallaSivaKanaka, S., et al. (2026) · Diabetes Care · doi:10.2337/dc26-s016 · Cited by 80 · see citing works
Instituting a successful discharge plan for patients with type 2 diabetes: challenges and solutions
Demidowich, A. P., Batty, K., & Zilbermint, M. (2022) · Diabetes Spectrum · doi:10.2337/dsi22-0013 · Cited by 15 · see citing works
- Authors
- Gregory, N. S., Seley, J. J., Dargar, S. K., Galla, N., Gerber, L. M., & Lee, J. I.
- Affiliations
- Cornell University (US)
- NewYork–Presbyterian Hospital (US)
- Weill Cornell Medicine (US)
- Corresponding author
- Gregory, Naina Sinha
- Venue
- Current Diabetes Reports
- Published
- 2018-06-21
- Volume
- 18
- Issue
- 8
- Pages
- 54-54
- ISSN
- 1534-4827 (ISSN-L)
- 1539-0829
- OpenAlex
- W2809490413
- Cited by
- 33
- References
- 0
- Citations by year
- 2026: 5 · 2025: 1 · 2024: 5 · 2023: 4 · 2022: 5 · 2021: 6 · 2020: 4 · 2019: 3
- FWCI
- 0.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Current Diabetes Reports (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Weill Cornell Medical College
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Emergency Medicine › Hospital Admissions and Outcomes
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Keywords
- diabetes mellitus, hospital readmission, care transitions, multidisciplinary care, medication reconciliation, diabetes self-management education, post-discharge follow-up, high-risk patients, risk factors for readmission, implementation barriers
- MeSH terms
- Diabetes Mellitus, Humans, Patient Care Team, Patient Readmission, Drug Prescriptions, Risk Factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review