Cargando…

Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study

BACKGROUND: As providers look to scale high-acuity care in the patient home setting, hospital-at-home is becoming more prevalent. The traditional model of hospital-at-home usually relies on care delivery by in-home providers, caring for patients in urban communities through academic medical centers....

Descripción completa

Detalles Bibliográficos
Autores principales: Paulson, Margaret R., Shulman, Eliza P., Dunn, Ajani N., Fazio, Jacey R., Habermann, Elizabeth B., Matcha, Gautam V., McCoy, Rozalina G., Pagan, Ricardo J., Maniaci, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911182/
https://www.ncbi.nlm.nih.gov/pubmed/36759867
http://dx.doi.org/10.1186/s12913-023-09144-w
_version_ 1784884941783302144
author Paulson, Margaret R.
Shulman, Eliza P.
Dunn, Ajani N.
Fazio, Jacey R.
Habermann, Elizabeth B.
Matcha, Gautam V.
McCoy, Rozalina G.
Pagan, Ricardo J.
Maniaci, Michael J.
author_facet Paulson, Margaret R.
Shulman, Eliza P.
Dunn, Ajani N.
Fazio, Jacey R.
Habermann, Elizabeth B.
Matcha, Gautam V.
McCoy, Rozalina G.
Pagan, Ricardo J.
Maniaci, Michael J.
author_sort Paulson, Margaret R.
collection PubMed
description BACKGROUND: As providers look to scale high-acuity care in the patient home setting, hospital-at-home is becoming more prevalent. The traditional model of hospital-at-home usually relies on care delivery by in-home providers, caring for patients in urban communities through academic medical centers. Our objective is to describe the process and outcomes of Mayo Clinic’s Advanced Care at Home (ACH) program, a hybrid virtual and in-person hospital-at-home model combining a single, virtual provider-staffed command center with a vendor-mediated in-person medical supply chain to simultaneously deliver care to patients living near an urban hospital-at-home command center and patients living in a rural region in a different US state and time zone. METHODS: A descriptive, retrospective medical records review of all patients admitted to ACH between July 6, 2020, and December 31, 2021. Patients were admitted to ACH from an urban academic medical center in Florida and a rural community hospital in Wisconsin. We collected patient volumes, age, sex, race, ethnicity, insurance type, primary hospital diagnosis, 30-day mortality rate, in-program mortality, 30-day readmission rate, rate of return to hospital during acute phase, All Patient Refined-Diagnosis Related Groups (APR-DRG) Severity of Illness (SOI), and length of stay (LOS) in both the inpatient-equivalent acute phase and post-acute equivalent restorative phase. RESULTS: Six hundred and eighty-six patients were admitted to the ACH program, 408 in Florida and 278 in Wisconsin. The most common diagnosis seen were infectious pneumonia (27.0%), septicemia / bacteremia (11.5%), congestive heart failure exacerbation (11.5%), and skin and soft tissue infections (6.3%). Median LOS in the acute phase was 3 days (IQR 2–5) and median stay in the restorative phase was 22 days (IQR 11–26). In-program mortality rate was 0% and 30-day mortality was 0.6%. The mean APR-DRG SOI was 2.9 (SD 0.79) and the 30-day readmission rate was 9.7%. CONCLUSIONS: The ACH hospital-at-home model was able to provide both high-acuity inpatient-level care and post-acute care to patients in their homes through a single command center to patients in urban and rural settings in two different geographical locations with favorable outcomes of low mortality and hospital readmissions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09144-w.
format Online
Article
Text
id pubmed-9911182
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-99111822023-02-10 Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study Paulson, Margaret R. Shulman, Eliza P. Dunn, Ajani N. Fazio, Jacey R. Habermann, Elizabeth B. Matcha, Gautam V. McCoy, Rozalina G. Pagan, Ricardo J. Maniaci, Michael J. BMC Health Serv Res Research BACKGROUND: As providers look to scale high-acuity care in the patient home setting, hospital-at-home is becoming more prevalent. The traditional model of hospital-at-home usually relies on care delivery by in-home providers, caring for patients in urban communities through academic medical centers. Our objective is to describe the process and outcomes of Mayo Clinic’s Advanced Care at Home (ACH) program, a hybrid virtual and in-person hospital-at-home model combining a single, virtual provider-staffed command center with a vendor-mediated in-person medical supply chain to simultaneously deliver care to patients living near an urban hospital-at-home command center and patients living in a rural region in a different US state and time zone. METHODS: A descriptive, retrospective medical records review of all patients admitted to ACH between July 6, 2020, and December 31, 2021. Patients were admitted to ACH from an urban academic medical center in Florida and a rural community hospital in Wisconsin. We collected patient volumes, age, sex, race, ethnicity, insurance type, primary hospital diagnosis, 30-day mortality rate, in-program mortality, 30-day readmission rate, rate of return to hospital during acute phase, All Patient Refined-Diagnosis Related Groups (APR-DRG) Severity of Illness (SOI), and length of stay (LOS) in both the inpatient-equivalent acute phase and post-acute equivalent restorative phase. RESULTS: Six hundred and eighty-six patients were admitted to the ACH program, 408 in Florida and 278 in Wisconsin. The most common diagnosis seen were infectious pneumonia (27.0%), septicemia / bacteremia (11.5%), congestive heart failure exacerbation (11.5%), and skin and soft tissue infections (6.3%). Median LOS in the acute phase was 3 days (IQR 2–5) and median stay in the restorative phase was 22 days (IQR 11–26). In-program mortality rate was 0% and 30-day mortality was 0.6%. The mean APR-DRG SOI was 2.9 (SD 0.79) and the 30-day readmission rate was 9.7%. CONCLUSIONS: The ACH hospital-at-home model was able to provide both high-acuity inpatient-level care and post-acute care to patients in their homes through a single command center to patients in urban and rural settings in two different geographical locations with favorable outcomes of low mortality and hospital readmissions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09144-w. BioMed Central 2023-02-09 /pmc/articles/PMC9911182/ /pubmed/36759867 http://dx.doi.org/10.1186/s12913-023-09144-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Paulson, Margaret R.
Shulman, Eliza P.
Dunn, Ajani N.
Fazio, Jacey R.
Habermann, Elizabeth B.
Matcha, Gautam V.
McCoy, Rozalina G.
Pagan, Ricardo J.
Maniaci, Michael J.
Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study
title Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study
title_full Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study
title_fullStr Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study
title_full_unstemmed Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study
title_short Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study
title_sort implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911182/
https://www.ncbi.nlm.nih.gov/pubmed/36759867
http://dx.doi.org/10.1186/s12913-023-09144-w
work_keys_str_mv AT paulsonmargaretr implementationofavirtualandinpersonhybridhospitalathomemodelintwogeographicallyseparateregionsutilizingasinglecommandcenteradescriptivecohortstudy
AT shulmanelizap implementationofavirtualandinpersonhybridhospitalathomemodelintwogeographicallyseparateregionsutilizingasinglecommandcenteradescriptivecohortstudy
AT dunnajanin implementationofavirtualandinpersonhybridhospitalathomemodelintwogeographicallyseparateregionsutilizingasinglecommandcenteradescriptivecohortstudy
AT faziojaceyr implementationofavirtualandinpersonhybridhospitalathomemodelintwogeographicallyseparateregionsutilizingasinglecommandcenteradescriptivecohortstudy
AT habermannelizabethb implementationofavirtualandinpersonhybridhospitalathomemodelintwogeographicallyseparateregionsutilizingasinglecommandcenteradescriptivecohortstudy
AT matchagautamv implementationofavirtualandinpersonhybridhospitalathomemodelintwogeographicallyseparateregionsutilizingasinglecommandcenteradescriptivecohortstudy
AT mccoyrozalinag implementationofavirtualandinpersonhybridhospitalathomemodelintwogeographicallyseparateregionsutilizingasinglecommandcenteradescriptivecohortstudy
AT paganricardoj implementationofavirtualandinpersonhybridhospitalathomemodelintwogeographicallyseparateregionsutilizingasinglecommandcenteradescriptivecohortstudy
AT maniacimichaelj implementationofavirtualandinpersonhybridhospitalathomemodelintwogeographicallyseparateregionsutilizingasinglecommandcenteradescriptivecohortstudy