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Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice.

ABSTRACT: BACKGROUND:High quality dietary intake data is required to support evidence of diet-disease relationships exposed in clinical research. Source data verification may be a useful quality assurance method in this setting. The present pilot study aimed to apply source data verification to evaluate the quality of the data coding process for dietary intake in a clinical trial and to explore potential barriers to data quality in this setting. METHODS:Using a sample of 20 cases from a clinical trial, source data verification was conducted between three sets of data derived documents: transcripts of audio-recorded diet history interviews, matched paper-based diet history forms and outputs from nutrition analysis software. The number of cases and rates of discrepancies between documents were calculated. A total of five in-depth interviews with dietitians collecting and coding dietary data were thematically analysed. RESULTS:Some 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food intake. The highest discrepancy rate was for the food group "vegetable products and dishes". In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs. CONCLUSION:The accuracy of dietary intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of dietary intake data coding measurement errors. These findings may warrant further investigation in a larger sample.

SUBMITTER: Guan VX

PROVIDER: S-EPMC6690518 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice.

Guan Vivienne X VX Probst Yasmine C YC Neale Elizabeth P EP Tapsell Linda C LC

PloS one 20190812 8

<h4>Background</h4>High quality dietary intake data is required to support evidence of diet-disease relationships exposed in clinical research. Source data verification may be a useful quality assurance method in this setting. The present pilot study aimed to apply source data verification to evaluate the quality of the data coding process for dietary intake in a clinical trial and to explore potential barriers to data quality in this setting.<h4>Methods</h4>Using a sample of 20 cases from a cli ...[more]

PMID: 31404088

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Project description:BackgroundEmploying malaria operational research (MOR) findings in planning national malaria control programmes is gaining increased attention. The malaria control foci are diverse, resources are limited; therefore, agreeing on priority areas is critical. Hitherto, the process of prioritising MOR questions in Nigeria has been limited to few stakeholders. In support of the National Malaria Elimination Programme's (NMEP) effort at setting a MOR agenda, the Nigeria Field Epidemiology and Laboratory Training Programme (NFELTP) in collaboration with NMEP conducted preliminary exploratory study to identify key malaria research gaps and needs, and provide data to inform setting a robust national MOR agenda. The process of generating data is presented in this paper.MethodsA twelve-member task-team comprising NFELTP, university researchers and NMEP officers was commissioned. Following an inaugural meeting the task-team developed a framework of activities and held five planning meetings, conducted five-week online and self-administered paper-based surveys, key informant interview (KII), two-day desk review workshop, seven-day qualitative data analysis, ten-day result and five-day report writing workshops. Paired group members conducted the interviews across six geopolitical zones of Nigeria. Abridged study report was used for a two-day MOR setting agenda stakeholders' workshop.ResultsA structured framework, study protocol and data collection instruments were developed and submitted for ethical approval. The instruments included survey questionnaire for detailed information on researchers and other stakeholders' experience with MOR, the gaps and needs in thematic MOR areas; KII and Delphi guides. After an initial scoping review, primary data were collected from purposively selected survey participants using mixed methods: - online survey (n?=?100), self-administered paper-based survey (n?=?85), KII (n?=?40), desk review workshop (n?=?22) and Delphi interviews (n?=?8). Comprehensive lists of research gaps/bottlenecks and needs were generated for each thematic area in malaria control. These were used at a two-day national MOR setting stakeholder workshop (n?=?54) to guide the development of national MOR agenda document.ConclusionsA systematic approach involving broad stakeholder engagement provided data and evidence-based information for development of a robust national MOR agenda. The processes involved are recommended for use in malaria endemic settings.

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Project description:BackgroundPhotographing injuries in the acute setting allows for improved documentation as well as assessment by clinicians and others who have not personally examined a patient. This tool is important, particularly for telemedicine, tracking of wound healing, the evaluation of potential abuse, and injury research. Despite this, protocols to ensure standardization of photography in clinical practice, forensics, or research have not been published. In preparation for a study of injury patterns in elder abuse and geriatric falls, our goal was to develop and evaluate a protocol for standardized photography of injuries that may be broadly applied.MethodsWe conducted a literature review for techniques and standards in medical, forensic, and legal photography. We developed a novel protocol describing types of photographs and body positioning for eight body regions, including instructional diagrams. We revised it iteratively in consultation with experts in medical photography; forensics; and elder, child, and domestic abuse. The resulting protocol requires a minimum of four photos of each injury at multiple distances with and without a ruler/color guide. To evaluate the protocol's efficacy, multiple research assistants without previous photography experience photographed injuries from a convenience sample of elderly patients presenting to a single large, urban, academic emergency department. A selection of these patients' images were then evaluated in a blinded fashion by four nontreating emergency medicine physicians and the inter-rater reliability between these physicians was calculated.ResultsAmong the 131 injuries, from 53 patients, photographed by 18 photographers using this protocol, photographs of 25 injuries (10 bruises, seven lacerations, and eight abrasions) were used to assess characterization of the injury. Physicians' characterizations of the injuries were reliable for the size of the injury (κ = 0.91, 95% confidence interval [CI] = 0.77 to 1.00), side of the body (κ = 0.97, 95% CI = 0.88 to 1.00), precise location of the injury (κ = 0.74, 95% CI = 0.63 = 0.81), and type of abrasion (κ = 0.76, 95% CI = 0.45 to 1.00). The exact shape of the injury (κ = 0.44, 95% CI = 0.17 to 0.51), and the primary color of bruises (κ = 0.37, 95% CI = 0.25 to 0.48) were not as reliably characterized.ConclusionsStandardizing the documentation of injuries with photographs for clinical and research assessment can be conducted by nonprofessional photographers. A photography protocol will ensure that this important mechanism for documentation is optimized.

Dataset Information

Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice.

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Evaluation of the dietary intake data coding process in a clinical setting: Implications for research practice.

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