Measuring food provision in Western Australian long day care (LDC) services: a weighed food record method/protocol at a service level (original) (raw)
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Introduction Systematic reviews have identified the lack of intervention studies with young children to prevent obesity. This feasibility study examines the feasibility and acceptability of adapting the Nutrition and Physical Activity Self-Assessment for Child Care (NAP SACC) intervention in the UK to inform a full-scale trial. Methods and analysis A feasibility cluster randomised controlled trial in 12 nurseries in England, with 6 randomly assigned to the adapted NAP SACC UK intervention: nursery staff will receive training and support from an NAP SACC UK Partner to review the nursery environment (nutrition, physical activity, sedentary behaviours and oral health) and set goals for making changes. Parents will be invited to participate in a digital media-based home component to set goals for making changes in the home. As this is a feasibility study, the sample size was not based on a power calculation but will indicate the likely response rates and intracluster correlations. Measures will be assessed at baseline and 8–10 months later. We will estimate the recruitment rate of nurseries and children and adherence to the intervention and data. Nursery measurements will include the Environmental Policy Assessment and Observation score and the nursery staff's review of the nursery environment. Child measurements will include height and weight to calculate z-score body mass index (zBMI), accelerometer-determined minutes of moderate-to-vigorous physical activity per day and sedentary time, and diet using the Child and Diet Evaluation Tool. Questionnaires with nursery staff and parents will measure mediators. A process evaluation will assess fidelity of intervention delivery and views of participants. Ethics and dissemination Ethical approval for this study was given by Wales 3 NHS Research Ethics Committee. Findings will be made available through publication in peer-reviewed journals, at conferences and to participants via the University of Bristol website. Data will be available from the University of Bristol Research Data Repository. Trial registration number ISRCTN16287377
Journal of the American Medical Directors Association, 2009
Objective: Guidelines written for government surveyors who assess nursing home (NH) compliance with federal standards contain instructions to observe the quality of mealtime assistance. However, these instructions are vague and no protocol is provided for surveyors to record observational data. This study compared government survey staff observations of mealtime assistance quality to observations by research staff using a standardized protocol that met basic standards for accurate behavioral measurement. Survey staff used either the observation instructions in the standard survey process or those written for the revised Quality Improvement Survey (QIS).
A systematic method to evaluate the dietary intake data coding process used in the research setting
Journal of Food Composition and Analysis
Background 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 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 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 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.
Nutrients, 2020
Early childhood education and care services are a significant feature of Australian family life, where nearly 1.4 million children attended a service in 2019. This paper reports on the cost of food provided to children in long day-care (LDC) services and extrapolates expenditure recommendations to support food provision compliance. A cross-sectional audit of LDC services in metropolitan Perth was conducted to determine food group provision by weighing raw ingredients of meal preparation-morning tea, lunch, and afternoon tea (MT, L, AT). Ingredients were costed at 2017 online metropolitan pricing from a large supermarket chain. Across participating services, 2 days of food expenditure per child/day ranged between 1.17and1.17 and 1.17and4.03 across MT, L, AT, and averaged 2.00perchild/day.Multivariableanalysissuggeststhatanincreaseof2.00 per child/day. Multivariable analysis suggests that an increase of 2.00perchild/day.Multivariableanalysissuggeststhatanincreaseof0.50 per child/day increases the odds of a LDC service meeting >50% of Australian Dietary Guideline (ADG) recommendations across ≥4 core food groups by fourfold (p = 0.03). Given the fact that the literature regarding food expenditure at LDC services is limited, this study provides information about food expenditure variation that impacts planning and provision of nutritionally balanced menus recommended for children. An average increase of food expenditure of $0.50 per child/day would increase food provision compliance.
PLOS ONE, 2019
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 PLOS ONE |
Nutrition & Dietetics, 2007
Objective: To describe the development and reproducibility of a self-report instrument, for use with children in years 4-6, to identify sources of food eaten during the day, and type and frequency of food purchases at school. Design: Tool development stages included formulation of content and format, expert review, piloting and a test-retest study. Subjects/setting: The pilot study included school students (n = 20) in years 4 and 5 (seven girls, mean age 9.7 Ϯ 0.7 years) attending an Australian public primary school. The test-retest study was performed in a large metropolitan public primary school (n = 245 children, 52% female, mean age 10.7 Ϯ 0.91 years) including children from years 4 (n = 88), 5 (n = 84) and 6 (n = 73). Statistical analysis: A Kappa statistic was used to assess level of agreement between the two time periods separated by 1 week. The results were analysed using SAS version 8.2 with each question compared at time 1 and 2. Results: The mean kappa was 0.529 using pairings from 17 questions. Values ranged from 0.18 to 0.71 (CI 0.46-0.60). Conclusions and applications: The School Eating Habits and Lifestyle Survey has been developed and pilot-tested in primary school-aged children and shown to have moderate stability over time. The results show that each phase of development, particularly those spent in consultation and testing, led to progressive improvement of this instrument. This process improved the quality of information produced and gave insights to self-report of dietary intake and behaviours among children.
International Journal of Environmental Research and Public Health, 2020
Early childhood is a critical stage for nutrition promotion, and childcare settings have the potential for wide-reaching impact on food intake. There are currently no Australian national guidelines for childcare food provision, and the comparability of existing guidelines across jurisdictions is unknown. This project aimed to map and compare childcare food provision guidelines and to explore perspectives amongst early childhood nutrition experts for alignment of jurisdictional childcare food provision guidelines with the Australian Dietary Guidelines (ADG). A desktop review was conducted and formed the basis of an online survey. A national convenience sample of childhood nutrition experts was surveyed. Existing guideline recommendations for food group serving quantities were similar across jurisdictions but contained many minor differences. Of the 49 survey respondents, most (84-100%) agreed with aligning food group provision recommendations to provide at least 50% of the recommended ADG serves for children. Most (94%) agreed that discretionary foods should be offered less than once per month or never. Jurisdictional childcare food provision guidelines do not currently align, raising challenges for national accreditation and the provision of support and resources for services across jurisdictions. Childhood nutrition experts support national alignment of food provision guidelines with the ADG.
A Practical Method for Collecting 3-Day Food Records in a Large Cohort
Epidemiology, 2005
Background: We assessed response rates and compliance for a printed questionnaire and a Web questionnaire in a Swedish population-based study and explored the influence of adding personalized feedback to the Web questionnaire. Methods: We assigned 875 subjects to 1 of 3 groups: printed questionnaire, plain Web questionnaire, or Web questionnaire with personalized feedback. The questionnaire had 2 parts, first a general section and then a dietary section. Results: The response rate for the general section was 64% for the printed questionnaire, compared with 50% for the Web questionnaire with feedback. For the dietary questionnaire, the rates were reversed, resulting in a total response rate for the dietary questionnaire that did not differ between printed and web questionnaire with feedback. Conclusions: Interactivity in the Web questionnaire increased compliance in completion of the second section of the questionnaire. Web questionnaires can be useful for research purposes in settings in which Internet access is high.
BMC Research Notes, 2016
Background: Quality assurance plays an important role in research by assuring data integrity, and thus, valid study results. We aim to describe and share the results of the quality assurance process used to guide the data collection process in a multi-site childhood obesity prevalence study and intervention trial across the US Affiliated Pacific Region. Methods: Quality assurance assessments following a standardized protocol were conducted by one assessor in every participating site. Results were summarized to examine and align the implementation of protocol procedures across diverse settings. Results: Data collection protocols focused on food and physical activity were adhered to closely; however, protocols for handling completed forms and ensuring data security showed more variability. Conclusions: Quality assurance protocols are common in the clinical literature but are limited in multi-site community-based studies, especially in underserved populations. The reduction in the number of QA problems found in the second as compared to the first data collection periods for the intervention study attest to the value of this assessment. This paper can serve as a reference for similar studies wishing to implement quality assurance protocols of the data collection process to preserve data integrity and enhance the validity of study findings.