Implementation of a simple score to predict sepsis in acutely ill adults presenting at out-of-hours primary care: a feasibility study

DOI

Recently, we developed and validated the TeSD-IT sepsis prediction score for use during OOH GP cooperative home visits of acutely ill patients. The aims of the mixed methods theory informed feasibility and acceptability study are to evaluate the feasibility and acceptability of the use of the TeSD-IT score by GPs in everyday practice.

A data package containing the raw data, the study protocol describing the methods and materials, the script to process the data, the scripts leading to tables and figures in the publication, a codebook with explanations on the variable names, and a ‘read_me.txt’ file with an overview of files included and their content and use will be be stored at the UMC Utrecht Research Folder Structure for 10 years.

The datapackage will be shared with third parties after approval of the Principle Investigator. The criteria and time period will be determined on a case-by-case basis. Prior to data sharing, a signed data transfer agreement will have to be in place. Generic data transfer agreements are available for our institution. The legal department of the UMC Utrecht will liaise with drafting the specific set of terms of use for this project.

We have added meta data files including the study protocol, datamanagement plan, an explenatory 'read_me.txt' file and codebooks with explanations on the variables included in the dataset to Dataverse

Identifier
DOI https://doi.org/10.34894/7SIGLC
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/7SIGLC
Provenance
Creator Roderick P. Venekamp ORCID logo
Publisher DataverseNL
Contributor Roderick P. Venekamp; Julius Center for Health Sciences and Primary Care
Publication Year 2024
Funding Reference ZonMw DoelmatigheidsOnderzoek – Voorbereidende studies ronde 2 10390052210023
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Roderick P. Venekamp (UMC Utrecht); Julius Center for Health Sciences and Primary Care (UMC Utrecht)
Representation
Resource Type Quantative and qualitative data; Dataset
Format application/pdf; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; text/plain
Size 57609; 436862; 10830; 11341; 1738
Version 1.0
Discipline Life Sciences; Medicine