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      Development of a measurement system for complex oral information transfer in medical consultations

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          Abstract

          Background

          Information exchange between physician and patient is crucial to achieve patient involvement, shared decision making and treatment adherence. No reliable method exists for measuring how much information physicians provide in a complex, unscripted medical conversation, nor how much of this information patients recall. This study aims to fill this gap by developing a measurement system designed to compare complex orally provided information to patient recall.

          Methods

          The development of the complex information transfer measurement system required nine methodological steps. Core activities were data collection, definition of information units and the first draft of a codebook, refinement through independent coding and consensus, and reliability testing. Videotapes of physician-patient consultations based on a standardized scenario and post-consultation interviews with patients constituted the data. The codebook was developed from verbatim transcriptions of the videotapes. Inter-rater reliability was calculated using a random selection of 10% of the statements in the transcriptions.

          Results

          Thirtyfour transcriptions of visits and interviews were collected. We developed a set of rules for defining a single unit of information, defined detailed criteria for exclusion and inclusion of relevant units of information, and outlined systematic counting procedures. In the refinement phase, we established a system for comparing the information provided by the physician with what the patient recalled. While linguistic and conceptual issues arose during the process, coders still achieved good inter-rater reliability, with intra-class correlation for patient recall: 0.723, and for doctors: 0.761. A full codebook is available as an appendix.

          Conclusions

          A measurement system specifically aimed at quantifying complex unscripted information exchange may be a useful addition to the tools for evaluating the results of health communication training and randomized controlled trials.

          Electronic supplementary material

          The online version of this article (10.1186/s12874-019-0788-7) contains supplementary material, which is available to authorized users.

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          Most cited references32

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          Shared decision making: really putting patients at the centre of healthcare

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            Understanding the Hawthorne effect.

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                Author and article information

                Contributors
                jenny.maria.nordfalk@ahus.no
                pal.gulbrandsen@medisin.uio.no
                jennifer.gerwing@gmail.com
                magne.nylenna@fhi.no
                j.p.m.delor@medisin.uio.no
                Journal
                BMC Med Res Methodol
                BMC Med Res Methodol
                BMC Medical Research Methodology
                BioMed Central (London )
                1471-2288
                4 July 2019
                4 July 2019
                2019
                : 19
                : 139
                Affiliations
                [1 ]ISNI 0000 0000 9637 455X, GRID grid.411279.8, Health Services Research Unit HØKH, , Akershus University Hospital, ; Mail Drawer 1000, 1478 Lørenskog, Norway
                [2 ]Institute of Health and Society, University of Oslo; Norwegian Institute of Public Health, PO Box 222, Skøyen, 0213 Oslo, Norway
                [3 ]Institute of Clinical Medicine, University of Oslo, Akershus University Hospital, Mail Drawer 1000, 1478 Lørenskog, Norway
                Author information
                http://orcid.org/0000-0002-2277-3210
                Article
                788
                10.1186/s12874-019-0788-7
                6610985
                31272386
                2b7e0cb0-3a28-46fd-a231-5b9667749c72
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 30 October 2018
                : 26 June 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100009471, EkstraStiftelsen Helse og Rehabilitering;
                Award ID: 7408
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Medicine
                patient recall,medical information,measurement system,physician-patient communication,quantifying information,information exchange,shared decision-making,multiple sclerosis,escalation treatment,unit of information

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