04.Data collection04.Email surveys - sporedata/researchdesigneR Wiki

1. Use cases: in which situations should I use this method?

  1. When questions are to be asked to a specific patient or stakeholder population by email, and response rates are expected to be adequate (usually at least 40%). You can ask questions with alternative responses or with open responses.

  2. To investigate practice patterns - see Physician Confidence in Neck Ultrasonography for Surveillance of Differentiated Thyroid Cancer Recurrence

  3. Respondent-driven sampling is a subtype of email surveys used whenever the population of interest is rare. For example, studies involving transgender individuals, because their percentage in the community is relatively low, as well as rare diseases.

  4. To analyze patient's perception - see [Oncology patients’ perceptions of and experiences with COVID-19] (https://pubmed.ncbi.nlm.nih.gov/32809060/)

2. Input: what kind of data does the method require?

  1. A list of email addresses from individuals in the target population.

3. Algorithm: how does the method work?

Model mechanics

Reporting guidelines

Suggested companion methods

Learning materials

  1. Books

    • Internet, phone, mail, and mixed-mode surveys: the tailored design method 4(#4).
  2. Articles

4. Output: how do I interpret this method's results?

References

[1] Lipps O, Herzing JME, Pekari N, Ernst Stähli M, Pollien A, Riedo G, Reveilhac M. [Incentives in surveys] (https://forscenter.ch/fors-guides/fg-2019-00008/). FORS Guide No. 08, Version 1.0. Lausanne: Swiss Centre of Expertise in the Social Sciences FORS. 2019. doi:10.24449/FG-2019-00008

[2] Avery L, Rotondi M. More comprehensive reporting of methods in studies using respondent driven sampling is required: a systematic review of the uptake of the STROBE-RDS guidelines. Journal of clinical epidemiology. 2020 Jan 1;117:68-77.

[3] Eysenbach G. [Improving the quality of Web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES)] (https://pubmed.ncbi.nlm.nih.gov/15471760/). Journal of Medical Internet Research. 2004 Sep 29;6(3):e34. doi: 10.2196/jmir.6.3.e34. Erratum in: doi:10.2196/jmir.2042. PMID: 15471760; PMCID: PMC1550605.

[4] Dillman, Don A., Jolene D. Smyth, and Leah Melani Christian. Internet, phone, mail, and mixed-mode surveys: the tailored design method. 4th ed. John Wiley & Sons, 2014.

[5] Brasel K, Haider A, Haukoos J. Practical Guide to Survey Research. JAMA surgery. 2020 Apr 1;155(4):351-2.