Web Survey Bibliography
Background: Rates of food allergies in children as well as the rate of families who employ nannies have increased dramatically over the past decade. It is essential that nannies have the knowledge and tools necessary to recognize and treat food allergy reactions.
Objective: To identify gaps in knowledge in the nanny population with regard to food allergy in children.
Methods: A Web-based survey was sent by e-mail to 709 nannies.
Results: A total of 153 nannies (22%) completed the online survey: 26% of respondents had formal educational training at a nanny school; 99% recognized food allergy as a potentially fatal event; 37% reported caring for a child with food allergies. Of these, 71% had food allergy action plans, and 63% had epinephrine available. A total of 71% reported training on administering epinephrine. The nannies' major concerns included accidental ingestion and discomfort in administering epinephrine. A total of 36% were uncomfortable with recognizing a food allergy emergency, whereas 46% were uncomfortable administering epinephrine; 6% thought that a sensitized child could safely eat a small amount of allergenic food, whereas 14% believed that dilution with water might reduce an allergic reaction. A total of 66% desired additional information about recognizing food allergies, and 71% agreed that food allergy training should be required for all nannies.
Conclusion: Nannies demonstrated gaps in knowledge with regard to food allergy in children, which reflects the need for more stringent training and education. Increased communication among parents, nannies, and physicians is needed to protect children with food allergy.
Key words: Food allergy; Nanny; Children; Child care; Epinephrine; Survey
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Web survey bibliography (96)
- Examining Factors Impacting Online Survey Response Ratesin Educational Research: Perceptions of Graduate...; 2017; Saleh, A.; Bista, K.
- Using Mixed Methods to Research the Professional Development Needs of English Teacher Educators in PCET...; 2017; Eliahoo, R.
- Why Do Web Surveys Take Longer on Smartphones?; 2016; Couper, M. P.; J. J.Peterson, G. J.
- The impact of visual design and response formats on data quality in a web survey of MOOC students; 2016; Maloshonok, N.; Terentev, E.
- Reminder Effect and Data Usability on Web Questionnaire Survey for University Students; 2016; Oishi, T.; Mori, M.; Takata, E.
- Investigating respondent multitasking in web surveys using paradata; 2016; Sendelbah, A.; Vehovar, V.; Slavec, A.; Petrovcic, A.
- Exploring Factors in Contributing Student Progress in the Open University; 2016; Arifin, M. H.
- Mode System Effects in an Online Panel Study: Comparing a Probability-based Online Panel with two Face...; 2015; Struminskaya, B.; De Leeuw, E. D.; Kaczmirek, L.
- Response Effects of Prenotification, Prepaid Cash, Prepaid Vouchers, and Postpaid Vouchers: An Experimental...; 2015; van Veen, F.; Goeritz, A.; Sattler, S.
- Calendar Instruments in Retrospective Web Surveys; 2015; Glasner, T.; van der Vaart, W.; Dijkstra, W.
- Cognitive Testing of Survey Translations: Does Respondent Language Proficiency Matter?; 2015; Schoua-Glusberg, A.; Park, H.; Meyer, M.; Goerman, P. L.; Sha, M.
- Nannies' Knowledge, Attitude, and Management of Food Allergies of Children: An Online Survey; 2015; Greiwe, J. C., Pazheri, F., Schroer, B.
- Is Vague Valid? The Comparative Predictive Validity of Vague Quantifiers and Numeric Response Options...; 2014; Al Baghal, T.
- Improving Survey Response Rates in Online Panels Effects of Low-Cost Incentives and Cost-Free Text Appeal...; 2014; Pedersen, M. J., Nielsen, C. V.
- The New Majority: How Will Latino Youth Succeed in the Context of Low Educational Expectations and Assumptions...; 2014; Gomez, C. A., Villasenor, E., Mann, E. S., Mandic, C. G., Valladares, E. S., Mercado, V., et al.
- Testing if Healthy Perfectionism Enhances Academic Achievement in Australian Secondary School Students...; 2014; Thorpe, E., Nettelbeck, T.
- Assessing Within-Household Selection Methods in Household Mail Surveys; 2014; Olson, K., Stange, M., Smyth, J. D.
- Web-based Emergency Department Patient Satisfaction Surveys May Introduce Potential for Bias; 2014; Broadwater-Hollifield, C., Fair, J., Podolsky, S., et al.
- Undisclosed Privacy: The Effect of Privacy Rights Design on Response Rates; 2014; Haer, R., Meidert, N.
- Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey; 2014; Tijdens, K. G.
- Students First Choice – the influence of mobile mode on results; 2014; Maxl, E.
- The relationships among nurses' job characteristics and attitudes toward web-based continuing learning...; 2013; Chiu, Y.-L., Tsai, C.-C., Fan Chiang, C.-Y.
- Evaluating Arts-Based Cancer Education Using an Internet Survey among Alaska Community Health Workers...; 2013; Cueva, M., Cueva, K., Dignan, M., Lanier, A., Kuhnley, R.
- Education in the Responsible Conduct of Research in Psychology: Methods and Scope; 2013; DiLorenzo, T. A., Becker-Fiegeles, J., Gibelman, M.
- Intra-individual variation of extreme response style in mixed-mode panel studies; 2013; Aichholzer, J.
- Knowledge of palliative care: An online survey; 2013; Al Qadire, M.
- Identifying the Research Information Needs of the Racing and Breeding Industries in New Zealand: Results...; 2013; Bolwell, C., Gray, Da., Reid, Ja.
- Educational use of smart phone technology: A survey of mobile phone application use by undergraduate...; 2013; Bomhold, C. R.
- Media Commons: the process and value of centralizing services; 2013; Mestre, L. S.
- Dialogistic Presence on Community College Websites in Nine Megastates; 2013; Shadinger, D.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- An imputation approach for analyzing mixed-mode surveys; 2013; Kim, J. K., Park, Se., Kim, S. Y.
- A walking exercise on a tightrope: trying to balance coverage, probabilistic sampling and the costs...; 2013; Poggio, T.
- Validity of Measuring Educational Attainment - Education and Value Orientation in the European Values...; 2013; Ortmanns, V.
- Educational attainment in cross-national surveys: instrument design, data collection, harmonisation...; 2013; Schneider, S.
- Eliminate Item Non-Response: The Effect of Forcing Respondents to Answer in Web Surveys; 2013; Leach, L. M.
- Building a History: Collecting Comprehensive Employment Data in a Web-Based, Multi-Mode Survey; 2013; Cominole, M., Bennett, C., Caves, L.
- Use of Drag-and-Drop Rating Scales in Web Surveys and Its Effect on Survey Reports and Data Quality; 2013; Kunz, T.
- The Impact on Web Survey Drop-Out Rates of Page Number Progress Indicators Used Throughout, Near the...; 2013; Walston, J. T., Cunningham, B., Medway, R.
- Utilizing the Web in a Multi-Mode Survey; 2013; Venkataraman, L.
- Speed (necessarily) doesn't kill: A new way to detect survey satisficing; 2013; Garland, P., Chen, K., Epstein, J., Suh, A.
- Using interactive feedback to enhance response quality in Web surveys. The case of open-ended questions...; 2013; Emde, M., Fuchs, M.
- Reducing Response Order Effects in Check-All-That-Apply Questions by Use of Dynamic Tooltip Instructions...; 2013; Kunz, T., Fuchs, M.
- Ethics, privacy and data security in web-based course evaluation; 2013; Salaschek, M., Meese, C., Thielsch, M.
- Medical students’ exposure to Urology in the undergraduate curriculum, a web based survey; 2012; Derbyshire, L. F., O’Flynn, K. J.
- Social research in online context: methodological reflections on web surveys from a case study; 2012; Pandolfini, V.
- What can be said about quality in the Central Population Register based on a self-completion survey...; 2012; Falnes-Dalheim, E., Pedersen, H. E.
- Boosting Web pick-up Rates by referring to Compliance Principles ; 2012; Falnes-Dalheim, E., Haraldsen, G., Sundvoll, A.
- Ebook readings jumps, print book reading declines; 2012; Rainie, L., Duggan, M.
- Prenotification, Incentives, and Survey Modality: An Experimental Test of Methods to Increase Survey...; 2012; Tepper, J. R., Jacob, B.