Evidence map›Paper›PMID 37095457›Full record

ArticleBMC medical research methodology2023

The Preventiometer - reliability of a cardiovascular multi-device measurement platform and its measurement agreement with a cohort study.

Martin Junge, Markus Krüger, Dietlind L Wahner-Roedler, Brent A Bauer, Marcus Dörr, Martin Bahls, Jean-François Chenot, Reiner Biffar, Carsten O Schmidt

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Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Martin Junge *Institute for Community Medicine, University of Greifswald, Greifswald, Germany.
Markus Krüger *Institute for Community Medicine, University of Greifswald, Greifswald, Germany. markuskr@uni-greifswald.de.
Dietlind L Wahner-RoedlerDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Brent A BauerDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Marcus DörrDepartment of Internal Medicine B (Cardiology), University Medicine, Greifswald, Germany.
Martin BahlsDepartment of Internal Medicine B (Cardiology), University Medicine, Greifswald, Germany.
Jean-François ChenotDepartment of General Practice, Institute for Community Medicine, University of Greifswald, Greifswald, Germany.
Reiner BiffarUnit of Prosthodontics, Gerodontology, and Biomaterials, Centre of Oral Health, University of Greifswald, Greifswald, Germany.
Carsten O SchmidtInstitute for Community Medicine, University of Greifswald, Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimedia multi-device measurement platforms may make the assessment of prevention-related medical variables with a focus on cardiovascular outcomes more attractive and time-efficient. The aim of the studies was to evaluate the reliability (Study 1) and the measurement agreement with a cohort study (Study 2) of selected measures of such a device, the Preventiometer.

methodsIn Study 1 (N = 75), we conducted repeated measurements in two Preventiometers for four examinations (blood pressure measurement, pulse oximetry, body fat measurement, and spirometry) to analyze their agreement and derive (retest-)reliability estimates. In Study 2 (N = 150), we compared somatometry, blood pressure, pulse oximetry, body fat, and spirometry measurements in the Preventiometer with corresponding measurements used in the population-based Study of Health in Pomerania (SHIP) to evaluate measurement agreement.

resultsIntraclass correlations coefficients (ICCs) ranged from .84 to .99 for all examinations in Study 1. Whereas bias was not an issue for most examinations in Study 2, limits of agreement for most examinations were very large compared to results of similar method comparison studies.

conclusionWe observed a high retest-reliability of the assessed clinical examinations in the Preventiometer. Some disagreements between Preventiometer and SHIP examinations can be attributed to procedural differences in the examinations. Methodological and technical improvements are recommended before using the Preventiometer in population-based research.

Indexed as

Research DesignBiasBlood PressureCohort StudiesHumansReproducibility of ResultsAgreementBland-Altman PlotsMeasurementMethod-comparison studiesReliabilityValidity

Identifiers

PMID37095457
PMCPMC10127382

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