Swiss Frailty Network and Repository: protocol of a Swiss Personalized Health Network's driver project observational study.

Gagesch, Michael; Edler, Karin; Chocano-Bedoya, Patricia O; Abderhalden, Lauren A; Seematter-Bagnoud, Laurence; Meyer, Tobias; Bertschi, Dominic; Zekry, Dina; Büla, Christophe J; Gold, Gabriel; Kressig, Reto W; Stuck, Andreas E; Bischoff-Ferrari, Heike A (2021). Swiss Frailty Network and Repository: protocol of a Swiss Personalized Health Network's driver project observational study. BMJ open, 11(7), e047429. BMJ Publishing Group 10.1136/bmjopen-2020-047429

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INTRODUCTION

Early identification of frailty by clinical instruments or accumulation of deficit indexes can contribute to improve healthcare for older adults, including the prevention of negative outcomes in acute care. However, conflicting evidence exists on how to best capture frailty in this setting. Simultaneously, the increasing utilisation of electronic health records (EHRs) opens up new possibilities for research and patient care, including frailty.

METHODS AND ANALYSIS

The Swiss Frailty Network and Repository (SFNR) primarily aims to develop an electronic Frailty Index (eFI) from routinely available EHR data in order to investigate its predictive value against length of stay and in-hospital mortality as two important clinical outcomes in a study sample of 1000-1500 hospital patients aged 65 years and older. In addition, we will examine the correlation between the eFI and a test-based clinical Frailty Instrument to compare both concepts in Swiss older adults in acute care settings. As a Swiss Personalized Health Network (SPHN) driver project, our study will report on the characteristics and usability of the first nationwide eFI in Switzerland connecting all five Swiss University Hospitals' Geriatric Departments with a representative sample of patients aged 65 years and older admitted to acute care.

ETHICS AND DISSEMINATION

The study protocol was approved by the competent ethics committee of the Canton of Zurich (BASEC-ID 2019-00445). All acquired data will be handled according to SPHN's ethical framework for responsible data processing in personalised health research. Analyses will be performed within the secure BioMedIT environment, a national infrastructure to enable secure biomedical data processing, an integral part of SPHN.

TRIAL REGISTRATION NUMBER

NCT04516642.

Item Type:

Journal Article (Further Contribution)

Division/Institute:

04 Faculty of Medicine > Medical Education > Institute of General Practice and Primary Care (BIHAM)
04 Faculty of Medicine > Department of General Internal Medicine (DAIM) > Geriatric Clinic

UniBE Contributor:

Chocano Bedoya, Patricia Orializ; Bertschi, Dominic and Stuck, Andreas

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

2044-6055

Publisher:

BMJ Publishing Group

Language:

English

Submitter:

Rebecca Rufer

Date Deposited:

21 Jul 2021 16:15

Last Modified:

28 Jul 2021 16:05

Publisher DOI:

10.1136/bmjopen-2020-047429

PubMed ID:

34261684

Uncontrolled Keywords:

epidemiology geriatric medicine health informatics

BORIS DOI:

10.48350/157606

URI:

https://boris.unibe.ch/id/eprint/157606

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