Association of Fragmented Readmissions and Electronic Information Sharing With Discharge Destination Among Older Adults
Open accessAbstract
Importance: When an older adult is hospitalized, where they are discharged is of utmost importance. Fragmented readmissions, defined as readmissions to a different hospital than a patient was previously discharged from, may increase the risk of a nonhome discharge for older adults. However, this risk may be mitigated via electronic information exchange between the admission and readmission hospitals. Objective: To determine the association of fragmented hospital readmissions and electronic information sharing with discharge destination among Medicare beneficiaries. Design, Setting, and Participants: This cohort study retrospectively examined data from Medicare beneficiaries hospitalized for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues in 2018 and their 30-day readmission for any reason. The data analysis was completed between November 1, 2021, and October 31, 2022. Exposures: Same hospital vs fragmented readmissions and presence of the same health information exchange (HIE) at the admission and readmission hospitals vs no information shared between the admission and readmission hospitals. Main Outcomes and Measures: The main outcome was discharge destination following the readmission, including home, home with home health, skilled nursing facility (SNF), hospice, leaving against medical advice, or dying. Outcomes were examined for beneficiaries with and without Alzheimer disease using logistic regressions. Results: The cohort included 275 189 admission-readmission pairs, representing 268 768 unique patients (mean [SD] age, 78.9 [9.0] years; 54.1% female and 45.9% male; 12.2% Black, 82.1% White, and 5.7% other race and ethnicity). Of the 31.6% fragmented readmissions in the cohort, 14.3% occurred at hospitals that shared an HIE with the admission hospital. Beneficiaries with same hospital/nonfragmented readmissions tended to be older (mean [SD] age, 78.9 [9.0] vs 77.9 [8.8] for fragmented with same HIE and 78.3 [8.7] years for fragmented without HIE; P < .001). Fragmented readmissions were associated with 10% higher odds of discharge to an SNF (adjusted odds ratio [AOR], 1.10; 95% CI, 1.07-1.12) and 22% lower odds of discharge home with home health (AOR, 0.78; 95% CI, 0.76-0.80) compared with same hospital/nonfragmented readmissions. When the admission and readmission hospital shared an HIE, beneficiaries had 9% to 15% higher odds of discharge home with home health (patients without Alzheimer disease: AOR, 1.09 [95% CI, 1.04-1.16]; patients with Alzheimer disease: AOR, 1.15 [95% CI, 1.01-1.32]) compared with fragmented readmissions where information sharing was not available. Conclusions and Relevance: In this cohort study of Medicare beneficiaries with 30-day readmissions, whether a readmission is fragmented was associated with discharge destination. Among fragmented readmissions, shared HIE across admission and readmission hospitals was associated with higher odds of discharge home with home health. Efforts to study the utility of HIE for care coordination for older adults should be pursued.
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Inconsistencies in the standard of care from admission and during the hospital stay were associated with reduced patient wellbeing and potential inequitable access to care, which increased the risk of readmission.
“Inconsistencies in the standard of care from admission and during the hospital stay (potentially explained in part by a lack of standardised information exchange) were associated with reduced patient wellbeing and potential inequitable access to care, which increased the risk of readmission [28, 39–43].”
From Do hospital-to-home transitions work for older adults with multiple long-term conditions including dementia? A realist review (2025) · cites this paper as [39]
The Introduction (page unavailable) links fragmented readmissions to unavailable prior records, poorer outcomes, and a higher risk of subsequent readmission; the Conclusions link information discontinuity to suboptimal discharge destinations. The paper does not establish inconsistencies in the standard of care during admission or the hospital stay, reduced patient wellbeing, or inequitable access as a pathway increasing readmission risk. (LLM, conf=0.86)
Experimental — accuracy not yet measuredKey features of discharge planning included developing meaningful care plans, which were communicated to all involved in the transition, informed by the patient's goals of care and provided opportunities for follow-up in the community.
“Key features of discharge planning included developing meaningful care plans, which were communicated to all involved in the transition, informed by the patient’s goals of care and provided opportunities for follow-up in the community [28, 39, 43–61].”
From Do hospital-to-home transitions work for older adults with multiple long-term conditions including dementia? A realist review (2025) · cites this paper as [39]
The Discussion (page unavailable) says information from prior visits may reveal a patient’s goals of care, and the Conclusions say electronic information exchange may improve transitions between hospitals. The paper does not describe developing meaningful discharge care plans, communicating them to everyone involved, or arranging community follow-up. (LLM, conf=0.82)
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Cites
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040296 · Cited by 23,020 · see citing works
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2014) · International Journal of Surgery · doi:10.1016/j.ijsu.2014.07.013 · Cited by 9,909 · see citing works
The American Journal of Managed Care
(2020) · The American Journal of Managed Care · doi:10.37765/ajmc · Cited by 3,238 · see citing works
Continuity of care: a multidisciplinary review
Haggerty, J. L., Reid, R. J., Freeman, G. K., Starfield, B. H., Adair, C. E., & McKendry, R. (2003) · BMJ · doi:10.1136/bmj.327.7425.1219 · Cited by 2,374 · see citing works
Measuring Frailty in Medicare Data: Development and Validation of a Claims-Based Frailty Index
Kim, D. H., Schneeweiß, S., Glynn, R. J., Lipsitz, L. A., Rockwood, K. J., & Avorn, J. (2017) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx229 · Cited by 628 · see citing works
Fortinsky, R. H., Covinsky, K. E., Palmer, R. M., & Landefeld, C. S. (1999) · The Journals of Gerontology Series A · doi:10.1093/gerona/54.10.m521 · Cited by 277 · see citing works
Hospitalization in Community‐Dwelling Persons with Alzheimer's Disease: Frequency and Causes
Rudolph, J. L., Zanin, N. M., Jones, R. N., Marcantonio, E. R., Fong, T. G., Yang, F. M., Yap, L., & Inouye, S. K. (2010) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.02924.x · Cited by 203 · see citing works
Amjad, H., Carmichael, D., Austin, A. M., Chang, C.-H., & Bynum, J. P. W. (2016) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2016.3553 · Cited by 195 · see citing works
Barriers and facilitators to exchanging health information: a systematic review
Eden, K., Totten, A. M., Kassakian, S. Z., Gorman, P., McDonagh, M. S., Devine, B., Pappas, M., Daeges, M., Woods, S. S., & Hersh, W. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.01.004 · Cited by 162 · see citing works
Trends in Post–Acute Care Use Among Medicare Beneficiaries: 2000 to 2015
Werner, R. M., & Konetzka, R. T. (2018) · JAMA · doi:10.1001/jama.2018.2408 · Cited by 136 · see citing works
Care Transitions and Home Health Care
Boling, P. A. (2009) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2008.11.005 · Cited by 114 · see citing works
Patient Outcomes Following Interhospital Care Fragmentation: A Systematic Review
Snow, K., Galaviz, K. I., & Turbow, S. D. (2019) · Journal of General Internal Medicine · doi:10.1007/s11606-019-05366-z · Cited by 98 · see citing works
Self-citationMays, J. A., Jackson, K. L., Derby, T. A., Behrens, J. J., Goel, S., Molitch, M. E., Kho, A. N., & Wallia, A. (2016) · Diabetes Care · doi:10.2337/dc16-0668 · Cited by 95 · see citing works
Multiple System Utilization and Mortality for Veterans With Stroke
Jia, H., Zheng, Y., Reker, D. M., et al. (2006) · Stroke · doi:10.1161/01.str.0000254457.38901.fb · Cited by 88 · see citing works
Fragmentation of Care after Surgical Discharge: Non-Index Readmission after Major Cancer Surgery
Zheng, C., Habermann, E. B., Shara, N. M., et al. (2016) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2016.01.052 · Cited by 87 · see citing works
Burke, R. E., Juarez‐Colunga, E., Levy, C. R., Prochazka, A. V., Coleman, E. A., & Ginde, A. A. (2015) · Medical Care · doi:10.1097/mlr.0000000000000359 · Cited by 85 · see citing works
Axon, R. N., Gebregziabher, M., Everett, C. J., Heidenreich, P. A., & Hunt, K. J. (2015) · American Heart Journal · doi:10.1016/j.ahj.2015.09.023 · Cited by 66 · see citing works
Hagino, T., Ochiai, S., Sato, E., et al. (2011) · Journal of Orthopaedics and Traumatology · doi:10.1007/s10195-011-0138-y · Cited by 61 · see citing works
Bentler, S., Morgan, R. O., Virnig, B. A., & Wolinsky, F. D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115088 · Cited by 60 · see citing works
Graboyes, E. M., Kallogjeri, D., Saeed, M. J., et al. (2016) · The Laryngoscope · doi:10.1002/lary.26301 · Cited by 57 · see citing works
Gautam, N., Bessette, L. G., Pawar, A. M., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa150 · Cited by 55 · see citing works
End‐of‐Life Care Transition Patterns of Medicare Beneficiaries
Wang, S., Aldridge, M. D., Gross, C. P., Canavan, M., Cherlin, E. J., & Bradley, E. H. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14891 · Cited by 49 · see citing works
McAlister, F. A., Youngson, E. R. E., & Kaul, P. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.116.004892 · Cited by 49 · see citing works
Does Health Information Exchange Improve Patient Outcomes? Empirical Evidence From Florida Hospitals
Chen, M. M., Guo, S., & Tan, X. W. (2019) · Health Affairs · doi:10.1377/hlthaff.2018.05447 · Cited by 49 · see citing works
Joint Replacement and Hip Fracture Readmission Rates: Impact of Discharge Destination
Riggs, R. V., Roberts, P. S., Aronow, H. U., et al. (2010) · PM&R · doi:10.1016/j.pmrj.2010.05.008 · Cited by 48 · see citing works
Influence of Nonindex Hospital Readmission on Length of Stay and Mortality
Burke, R. E., Jones, C. D., Hosokawa, P. W., et al. (2017) · Medical Care · doi:10.1097/mlr.0000000000000829 · Cited by 48 · see citing works
An All-Payer View of Hospital Discharge to Postacute Care, 2013
Tian, W. (2016) · Cited by 46 · see citing works
Usher, M. G., Sahni, N., Herrigel, D. J., Simon, G., Melton, G. B., Joseph, A. M., & Olson, A. P. J. (2018) · Journal of General Internal Medicine · doi:10.1007/s11606-018-4491-x · Cited by 46 · see citing works
Health information exchange and the frequency of repeat medical imaging.
Vest, J. R., Kaushal, R., Silver, M. D., Hentel, K., & Kern, L. M. (2014) · PubMed · Cited by 45 · see citing works
Using electronic health record systems to optimize admission decisions: The Creatinine case study
Ben‐Assuli, O., Shabtai, I., & Leshno, M. (2014) · Health Informatics Journal · doi:10.1177/1460458213503646 · Cited by 38 · see citing works
Rahurkar, S., Vest, J. R., Finnell, J. T., et al. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa226 · Cited by 38 · see citing works
Engagement In Hospital Health Information Exchange Is Associated With Vendor Marketplace Dominance
Everson, J., & Adler‐Milstein, J. (2016) · Health Affairs · doi:10.1377/hlthaff.2015.1215 · Cited by 35 · see citing works
Yuan, N., Dudley, R. A., Boscardin, W. J., & Lin, G. A. (2019) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz092 · Cited by 33 · see citing works
Discharge destination following hip fracture: comparative effectiveness and cost analyses
Pitzul, K. B., Wodchis, W. P., Kreder, H. J., et al. (2017) · Archives of Osteoporosis · doi:10.1007/s11657-017-0382-8 · Cited by 29 · see citing works
Nationwide 30-Day Readmissions After Elective Orthopedic Surgery: Reasons and Implications
Minhas, S. V., Kester, B. S., Lovecchio, F. C., & Bosco, J. A. (2016) · Journal for Healthcare Quality · doi:10.1097/jhq.0000000000000045 · Cited by 28 · see citing works
Hua, M. S., Gong, M. N., Miltiades, A., & Wunsch, H. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201605-0912oc · Cited by 28 · see citing works
Health information exchange systems and length of stay in readmissions to a different hospital
Flaks‐Manov, N., Shadmi, E., Hoshen, M., & Balicer, R. D. (2015) · Journal of Hospital Medicine · doi:10.1002/jhm.2535 · Cited by 25 · see citing works
Vest, J., Unruh, M., Freedman, S., & Simon, K. (2019) · J. Am. Medical Informatics Assoc. · doi:10.1093/jamia/ocz116 · Cited by 22 · see citing works
Trends in Receipt of Help at Home After Hospital Discharge Among Older Adults in the US
Bressman, E., Coe, N. B., Chen, X., Konetzka, R. T., & Werner, R. M. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.35346 · Cited by 20 · see citing works
Wong, C., & Hogan, D. B. (2016) · Canadian Geriatrics Journal · doi:10.5770/cgj.19.229 · Cited by 17 · see citing works
Geography, Not Health System Affiliations, Determines Patients’ Revisits to the Emergency Department
Rising, K. L., Karp, D. N., Powell, R. E., et al. (2017) · Health Services Research · doi:10.1111/1475-6773.12658 · Cited by 16 · see citing works
Association between interhospital care fragmentation, readmission diagnosis, and outcomes
Turbow, S. D. (2021) · The American Journal of Managed Care · doi:10.37765/ajmc.2021.88639 · Cited by 16 · see citing works
Self-citationAssessing the impact of health system organizational structure on hospital electronic data sharing
Holmgren, A. J., & Ford, E. W. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy084 · Cited by 15 · see citing works
Man, S., Bruckman, D., Tang, A., Uchino, K., & Schold, J. D. (2021) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2021.106146 · Cited by 15 · see citing works
Effects of Health Information Exchanges in the Adult Inpatient Setting: a Systematic Review
Dupont, S. C., Nemeth, J. K., & Turbow, S. D. (2022) · Journal of General Internal Medicine · doi:10.1007/s11606-022-07872-z · Cited by 13 · see citing works
Self-citationLehmann, C. U., Petersen, C. C., Bhatia, H. L., et al. (2018) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s096318011800052x · Cited by 12 · see citing works
Are there differences in health information exchange by health system type?
Opoku-Agyeman, W., & Menachemi, N. (2015) · Health Care Management Review · doi:10.1097/hmr.0000000000000081 · Cited by 10 · see citing works
Ambulance use and subsequent fragmented hospital readmission among older adults
Turbow, S. D., Culler, S. D., Vaughan, C. P., Rask, K. J., Perkins, M. M., Clevenger, C. K., & Ali, M. K. (2022) · Journal of the American Geriatrics Society · doi:10.1111/jgs.18210 · Cited by 8 · see citing works
Self-citationMatsumura, S., Ozaki, M., Kanno, T., et al. (2021) · Journal of General and Family Medicine · doi:10.1002/jgf2.478 · Cited by 7 · see citing works
Lam, K., Cenzer, I. S., & Covinsky, K. E. (2022) · Journal of the American Geriatrics Society · doi:10.1111/jgs.18144 · Cited by 7 · see citing works
Usage and Effect of Health Information Exchange
Rudin, R. S., Motala, A., Goldzweig, C. L., & Shekelle, P. (2014) · Annals of Internal Medicine · doi:10.7326/m14-0877 · Cited by 6 · see citing works
Association of distance between hospitals and volume of shared admissions
Turbow, S. D., UPPAL, T. S., Chang, H. H., & Ali, M. K. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08931-1 · Cited by 5 · see citing works
Self-citationDo Market Characteristics Matter? Factors Associated with Health Information Exchange
Cho, N.-E., Hong, K. J., & Chang, J. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182211976 · Cited by 3 · see citing works
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Lawson, L., Cooper, M., Tolley, C., Hand, A., & Nazar, H. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-06123-0 · Cited by 10 · see citing works
“Key features of discharge planning included developing meaningful care plans, which were communicated to all involved in the transition, informed by the patient’s goals of care and provided opportunities for follow-up in the community [28, 39, 43–61].”
- Authors
- Turbow, S. D., Ali, M. K., Culler, S. D., Rask, K. J., Perkins, M. M., Clevenger, C. K., & Vaughan, C. P.
- Affiliations
- Emory University (US)
- Alliant Health Solutions, Atlanta, Georgia
- United States Department of Veterans Affairs (US)
- Corresponding author
- Turbow, Sara D.
- ORCID
- Venue
- JAMA Network Open
- Publisher
- American Medical Association (AMA)
- Published
- 2023-05-16
- Volume
- 6
- Issue
- 5
- Pages
- e2313592
- ISSN
- 2574-3805 (ISSN-L)
- PMC
- PMC10189568
- OpenAlex
- W4376642940
- Cited by
- 23
- References
- 54
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 7 · 2023: 1
- FWCI
- 7.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JAMA Network Open (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Doris Duke Charitable Foundation
- Eli Lilly and Company
- Emory University (UL1 TR002378)
- National Institutes of Health (UL1TR002378)
- National Institute on Aging (K23AG065505)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Emergency Medicine › Hospital Admissions and Outcomes
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Keywords
- hospital readmission, health information exchange, electronic health records, discharge disposition, older adults, Medicare beneficiaries, skilled nursing facilities, non-home discharge, Alzheimer's disease, discharge planning, hospital readmission prevention
- MeSH terms
- Aged, Alzheimer Disease, Female, Medicare, Hospices, Humans, Male, Patient Discharge, Patient Readmission, Retrospective Studies, United States, Cohort Studies
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