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

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.

SUBMITTER: Nordfalk JM

PROVIDER: S-EPMC6610985 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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

Nordfalk J M JM Gulbrandsen P P Gerwing J J Nylenna M M Menichetti J J

BMC medical research methodology 20190704 1

<h4>Background</h4>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.<h4>Methods</h4>The ...[more]

PMID: 31272386

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Project description:BackgroundThe development of telehealth and telemedicine, in the form of increased teleconsultation and medical telemonitoring, accelerated during the COVID-19 health crisis in France to ensure continued access to care for the population. Since these new information and communication technologies (ICTs) are diverse and likely to transform how the health care system is organized, there is a need better to understand public attitudes toward them and their relationship with peoples' current experience of health care.ObjectiveThis study aimed to determine the French general population's perception of the usefulness of video recording/broadcasting (VRB) and mobile Health (mHealth) apps for medical consultations in France during the COVID-19 health crisis and the factors associated with this perception.MethodsData were collected for 2003 people in 2 waves of an online survey alongside the Health Literacy Survey 2019 (1003 in May 2020 and 1000 in January 2021) based on quota sampling. The survey collected sociodemographic characteristics, health literacy levels, trust in political representatives, and perceived health status. The perceived usefulness of VRB in medical consultations was measured by combining 2 responses concerning this technology for consultations. The perceived usefulness of mHealth apps was measured by combining 2 responses concerning their usefulness for booking doctor appointments and for communicating patient-reported outcomes to doctors.ResultsThe majority (1239/2003, 62%) of respondents considered the use of mHealth apps useful, while only 27.6% (551/2003) declared VRB useful. The factors associated with the perceived usefulness of both technologies were younger age (≤ 55 years), trust in political representatives (VRB: adjusted odds ratio [aOR] 1.68, 95% CI 1.31-2.17; mHealth apps: aOR 1.88, 95% CI 1.42-2.48), and higher (sufficient and excellent) health literacy. The period of the beginning of the COVID-19 epidemic, living in an urban area, and being limited in daily activities were also associated with perceiving VRB positively. The perceived usefulness of mHealth apps increased with the level of education. It was also higher in people who had 3 or more consultations with a medical specialist.ConclusionsThere are important differences in attitudes toward new ICTs. Perceived usefulness was lower for VRB than for mHealth apps. Moreover, it decreased after the initial months of the COVID-19 pandemic. There is also the possibility of new inequalities. Hence, despite the potential benefits of VRB and mHealth apps, people with low health literacy considered them to be of little use for their health care, possibly increasing their difficulties in accessing health care in the future. As such, health care providers and policy makers need to consider those perceptions to guarantee that new ICTs are accessible and beneficial to all.

Project description:By November 2015, the West Africa Ebola epidemic had caused 28598 infections and 11299 deaths in the three countries most affected. The outbreak required rapid innovation and adaptation. Médecins sans Frontières (MSF) scaled up its usual 20-30 bed Ebola management centres (EMCs) to 100-300 beds with over 300 workers in some settings. This brought challenges in patient and clinical data management resulting from the difficulties of working safely with high numbers of Ebola patients. We describe a project MSF established with software developers and the Google Social Impact Team to develop context-adapted tools to address the challenges of recording Ebola clinical information. We share the outcomes and key lessons learned in innovating rapidly under pressure in difficult environmental conditions. Information on adoption, maintenance, and data quality was gathered through review of project documentation, discussions with field staff and key project stakeholders, and analysis of tablet data. In March 2015, a full prototype was deployed in Magburaka EMC, Sierra Leone. Inpatient data were captured on 204 clinical interactions with 34 patients from 5 March until 10 April 2015. Data continued to also be recorded on paper charts, creating theoretically identical record "pairs" on paper and tablet. 83 record pairs for 33 patients with 22 data items (temperature and symptoms) per pair were analysed. The overall Kappa coefficient for agreement between sources was 0.62, but reduced to 0.59 when rare bleeding symptoms were excluded, indicating moderate to good agreement. The time taken to deliver the product was more than that anticipated by MSF (7 months versus 6 weeks). Deployment of the tablet coincided with a dramatic drop in patient numbers and thus had little impact on patient care. We have identified lessons specific to humanitarian-technology collaborative projects and propose a framework for emergency humanitarian innovation. Time and effort is required to bridge differences in organisational culture between the technology and humanitarian worlds. This investment is essential for establishing a shared vision on deliverables, urgency, and ownership of product.

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

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

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