Integrative hospital treatment in older patients to benchmark and improve outcome and length of stay - the In-HospiTOOL study.


Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
23 Apr 2019
Historique:
received: 04 11 2018
accepted: 27 03 2019
entrez: 25 4 2019
pubmed: 25 4 2019
medline: 18 6 2019
Statut: epublish

Résumé

A comprehensive in-hospital patient management with reasonable and economic resource allocation is arguably the major challenge of health-care systems worldwide, especially in elderly, frail, and polymorbid patients. The need for patient management tools to improve the transition process and allocation of health care resources in routine clinical care particularly for the inpatient setting is obvious. To address these issues, a large prospective trial is warranted. The "Integrative Hospital Treatment in Older patients to benchmark and improve Outcome and Length of stay" (In-HospiTOOL) study is an investigator-initiated, multicenter effectiveness trial to compare the effects of a novel in-hospital management tool on length of hospital stay, readmission rate, quality of care, and other clinical outcomes using a time-series model. The study aims to include approximately 35`000 polymorbid medical patients over an 18-month period, divided in an observation, implementation, and intervention phase. Detailed data on treatment and outcome of polymorbid medical patients during the in-hospital stay and after 30 days will be gathered to investigate differences in resource use, inter-professional collaborations and to establish representative benchmarking data to promote measurement and display of quality of care data across seven Swiss hospitals. The trial will inform whether the "In-HospiTOOL" optimizes inter-professional collaboration and thereby reduces length of hospital stay without harming subjective and objective patient-oriented outcome markers. Many of the current quality-mirroring tools do not reflect the real need and use of resources, especially in polymorbid and elderly patients. In addition, a validated tool for optimization of patient transition and discharge processes is still missing. The proposed multicenter effectiveness trial has potential to improve interprofessional collaboration and optimizes resource allocation from hospital admission to discharge. The results will enable inter-hospital comparison of transition processes and accomplish a benchmarking for inpatient care quality.

Sections du résumé

BACKGROUND BACKGROUND
A comprehensive in-hospital patient management with reasonable and economic resource allocation is arguably the major challenge of health-care systems worldwide, especially in elderly, frail, and polymorbid patients. The need for patient management tools to improve the transition process and allocation of health care resources in routine clinical care particularly for the inpatient setting is obvious. To address these issues, a large prospective trial is warranted.
METHODS METHODS
The "Integrative Hospital Treatment in Older patients to benchmark and improve Outcome and Length of stay" (In-HospiTOOL) study is an investigator-initiated, multicenter effectiveness trial to compare the effects of a novel in-hospital management tool on length of hospital stay, readmission rate, quality of care, and other clinical outcomes using a time-series model. The study aims to include approximately 35`000 polymorbid medical patients over an 18-month period, divided in an observation, implementation, and intervention phase. Detailed data on treatment and outcome of polymorbid medical patients during the in-hospital stay and after 30 days will be gathered to investigate differences in resource use, inter-professional collaborations and to establish representative benchmarking data to promote measurement and display of quality of care data across seven Swiss hospitals. The trial will inform whether the "In-HospiTOOL" optimizes inter-professional collaboration and thereby reduces length of hospital stay without harming subjective and objective patient-oriented outcome markers.
DISCUSSION CONCLUSIONS
Many of the current quality-mirroring tools do not reflect the real need and use of resources, especially in polymorbid and elderly patients. In addition, a validated tool for optimization of patient transition and discharge processes is still missing. The proposed multicenter effectiveness trial has potential to improve interprofessional collaboration and optimizes resource allocation from hospital admission to discharge. The results will enable inter-hospital comparison of transition processes and accomplish a benchmarking for inpatient care quality.

Identifiants

pubmed: 31014343
doi: 10.1186/s12913-019-4045-x
pii: 10.1186/s12913-019-4045-x
pmc: PMC6480877
doi:

Types de publication

Clinical Trial Protocol Journal Article Personal Narrative

Langues

eng

Sous-ensembles de citation

IM

Pagination

237

Subventions

Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
ID : 407440_167376
Organisme : Research council of the Kantonsspital Aarau
ID : 1410.000.086
Organisme : Wissenschaft & Weiterbildung (W&W) Fonds of the Kantonsspital Aarau
ID : 140.000.495
Organisme : Hugo und Elsa Isler Fonds of the Argovian Department of Health and Social Affairs
ID : Not applicable

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Auteurs

Alexander Kutz (A)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland. kutz.alexander@gmail.com.

Daniel Koch (D)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.

Antoinette Conca (A)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.

Ciril Baechli (C)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.

Sebastian Haubitz (S)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.

Katharina Regez (K)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.

Ursula Schild (U)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.

Zeljka Caldara (Z)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.

Fahim Ebrahimi (F)

Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.

Stefano Bassetti (S)

Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.

Jens Eckstein (J)

Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.

Juerg Beer (J)

Internal Medicine Department, Kantonsspital Baden, Baden, Switzerland.

Michael Egloff (M)

Internal Medicine Department, Kantonsspital Baden, Baden, Switzerland.

Vladimir Kaplan (V)

Internal Medicine Department, Kreisspital Muri, Muri, Switzerland.

Tobias Ehmann (T)

Internal Medicine Department, Spital Zofingen, Zofingen, Switzerland.

Claus Hoess (C)

Internal Medicine Department, Kantonsspital Muensterlingen, Muensterlingen, Switzerland.

Heinz Schaad (H)

Internal Medicine Department, Spital Interlaken, FMI, Interlaken, Switzerland.

Ulrich Wagner (U)

Swiss Federal Office for Statistics, Neuchâtel, Switzerland.

Sabina de Geest (S)

Department of Public Health of the Faculty of Medicine, University Hospital Basel, Basel, Switzerland.

Philipp Schuetz (P)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.

Beat Mueller (B)

Medical University Department, Division of General Internal and Emergency Medicine, Kantonsspital Aarau, Tellstrasse, CH-5001, Aarau, Switzerland.

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Classifications MeSH