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Inselman, Shealeigh A.

Mayo Clinic

Mayo Clinic in Arizona

Citations 2

Safety in a hybrid hospital‐at‐home program versus traditional inpatient care: A pragmatic randomized controlled trial
Maniaci, Michael J. , Sangaralingham, Lindsey R. , Behnken, Emma , Hart, Melissa S., Inselman, Shealeigh A., Nelson, Chad R. , Gothot, Rachel A., Smith, Y.R., Oloyede, Sey V. , Gifford, Sarah L., Taylor, Josh D., Dunn, Ajani N., Dowdy, Sean C. , Bosch, Wendelyn , Cowart, Jennifer B. , Behnken, Emma M, Paulson, Margaret, Nelson, Chad R , Chang, Yu‐Hui H., Hanson, Kristine T. , Larson Smith, Yvonne M, Dunlay, Shannon M. , Habermann, Elizabeth , Cowart, Jennifer B , Yao, Xiaoxi , Maniaci, Michael J , Inselman, Shealeigh A., Paulson, Margaret R. , Chang, Yu‐Hui , Smith, Yvonne M. Larson, Taylor, Josh D., Habermann, Elizabeth B. , Yao, Xiaoxi

Journal of Hospital Medicine | May 22, 2025 | Volume: 20 | Issue: 11 | Pages: 1174-1184

10.1002/jhm.70076 Get It

Abstract Background Hospital‐at‐home programs (HaH) in the United States have evolved to include a virtual‐hybrid delivery model, where all physician encounters are virtual and partnered with a home care team. Objective To examine whether a virtual hybrid HaH program enabled by technology has similar clinical outcomes to traditional brick‐and‐mortar (B&M) hospital care. Methods We conducted a pragmatic trial at three hospitals, randomizing 1150 acutely ill patients requiring hospital care between July 10, 2023, and October 31, 2023 one‐to‐one into two groups: intervention (HaH) and control (B&M). The primary analysis was an intention‐to‐treat non‐inferiority analysis of the primary outcome, which was a composite of 30‐day all‐cause mortality and unplanned readmissions. Secondary outcomes included 30‐day readmission, all‐cause mortality, and patient experience. Results The mean age was 67.8 (standard deviation [SD] 16.3) years, and 52.2% were female. The primary outcome occurred in 99 (17.3%) HaH patients and 114 (19.8%) B&M patients (odds ratio [OR] 0.85, 95% confidence interval [CI] 0.63–1.14, p = .28), meeting the non‐inferiority criterion. Thirty‐day unplanned readmission occurred in 84 (14.7%) HaH patients and 101 (17.5%) B&M patients (OR 0.81, 95% CI 0.59–1.11, p = .19). Thirty‐day all‐cause mortality occurred in 25 (4.4%) HaH patients and 19 (3.3%) B&M patients (OR 1.34, 95% CI 0.73–2.46, p = .35). No HaH patients died while receiving their hospital care at home. HaH program was associated with a higher likelihood of patients reporting feeling extremely comfortable or very comfortable (84.4% HaH; 60.9% B&M, p = .001). Conclusion A hybrid HaH model is a safe and comfortable alternative to traditional B&M hospital care.
Patient, Provider, and Health System Determinants of Hospice Length of Stay
Thompson, E. , Pellecer, Daniel Sanchez, Hanson, Gregory J. , Inselman, Shealeigh A., Manggaard, Jenn M., Whitford, Kevin J. , Strand, Jacob J. , Thompson, Eliza , Sanchez Pellecer, Daniel, Hanson, Gregory J., Inselman, Shealeigh A., McCoy, Rozalina G.

Palliative Medicine Reports | April 3, 2025 | Volume: 6 | Issue: 1 | Pages: No page available

10.1089/pmr.2024.0077 Get It

Background: Benefits of hospice care, such as improvement in quality of life and reduced costs, depend on duration of enrollment in hospice services, making timely hospice referral essential. Patient-, provider-, and system-level factors associated with hospice referral timing and length of stay (LOS) are unclear. 1 – 6 Objective: To review existing hospice referral patterns to identify patient- and system-level factors associated with hospice LOS. Methods: We performed a retrospective review of all adult patients referred from our institution (located in Rochester, Minnesota, USA) to a nonprofit hospice agency between 2013 and 2017. The primary dependent variable was hospice LOS. Patient-level variables included demographic characteristics, place of residence, and hospice diagnosis. System-level variables included referral setting and provider-specific variables, such as title and gender. Statistical analyses were performed using multivariate logistic regression. Results: A total of 2072 patients were referred to hospice during the study period. Patient-level factors associated with LOS included hospice diagnosis and place of residence. Patients referred for cancer had a higher odds of a long LOS, while patients from long-term care facilities had a higher odds of a short LOS. System-level factors associated with LOS included provider gender and title. Referral by a female provider or by a physician, rather than an advanced practice provider, was associated with a lower odds of a short LOS. Conclusion: Based on a review of hospice referral patterns, the integration of hospice care into subspecialty practices, long-term care facilities, and advanced practice education could be an effective strategy to improve hospice LOS.