Baruch, Y., Holtom, B. C. (2008). Survey response rate levels and trends in organizational research. Human Relations, 61(8), 1139–1160. https://doi.org/10.1177/0018726708094863
Google Scholar Bhandari, M., Devereaux, P. J., Swiontkowski, M. F., Schemitsch, E. H., Shankardass, K., Sprague, S., Guyatt, G. H. (2003). A randomized trial of opinion leader endorsement in a survey of orthopaedic surgeons: Effect on primary response rates. International Journal of Epidemiology, 32(4), 634–636. https://doi.org/10.1093/ije/dyg112
Google Scholar Boulianne, S., Klofstad, C. A., Basson, D. (2010). Sponsor prominence and responses patterns to an online survey. International Journal of Public Opinion Research, 23(1), 79–87. https://doi.org/10.1093/ijpor/edq026
Google Scholar Breen, C. L., Shakeshaft, A. P., Doran, C. M., Sanson-Fisher, R. W., Mattick, R. P. (2010). Cost-effectiveness of follow-up contact for a postal survey: A randomised controlled trial. Australian and New Zealand Journal of Public Health, 34(5), 508–512. https://doi.org/10.1111/j.1753-6405.2010.00598.x
Google Scholar Brehaut, J. C., Graham, I. D., Visentin, L., Stiell, I. G. (2006). Print format and sender recognition were related to survey completion rate. Journal of Clinical Epidemiology, 59(6), 635–641. https://doi.org/10.1016/j.jclinepi.2005.04.012
Google Scholar Callegaro, M., Manfreda, K. L., Vehovar, V. (2015). Web survey methodology. Sage Publications.
Google Scholar de Leeuw, E. D. (2005). To mix or not to mix data collection modes in surveys. Journal of Official Statistics, 21(2), 233–255.
Google Scholar Dillman, D. A., Smyth, J. D., Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). Wiley.
Google Scholar Dykema, J., Stevenson, J., Day, B., Sellers, S. L., Bonham, V. L. (2011). Effects of incentives and prenotification on response rates and costs in a national web survey of physicians. Evaluation & the Health Professions, 34(4), 434–447. https://doi.org/10.1177/0163278711406113
Google Scholar Edwards, M. L., Dillman, D. A., Smyth, J. D. (2014). An experimental test of the effects of survey sponsorship on internet and mail survey response. Public Opinion Quarterly, 78(3), 734–750. https://doi.org/10.1093/poq/nfu027
Google Scholar Edwards, P., Roberts, I., Clarke, M., DiGiuseppe, C., Pratap, S., Wentz, R., Kwan, I. (2002). Increasing response rates to postal questionnaires: Systematic review. BMJ, 324(7347), 1183. https://doi.org/10.1136/bmj.324.7347.1183
Google Scholar Edwards, P. J., Roberts, I., Clarke, M. J., Diguiseppi, C., Wentz, R., Kwan, I., Cooper, R., Felix, L. M., Pratap, S. (2009). Methods to increase response to postal and electronic questionnaires. Cochrane Database of Systematic Reviews, (3), MR000008. https://doi.org/10.1002/14651858.MR000008.pub4
Google Scholar Ely, M., Edgerton, E. A., Telford, R., Page, K., Hemingway, C., Vernon, D., Olson, L. M. (2020). Assessing infrastructure to care for pediatric patients in the prehospital setting. Pediatric Emergency Care, 36(6), e324–e331. https://doi.org/10.1097/PEC.0000000000001649
Google Scholar Fang, J., Shao, P., Lan, G. (2009). Effects of innovativeness and trust on web survey participation. Computers in Human Behavior, 25(1), 144–152. https://doi.org/10.1016/j.chb.2008.08.002
Google Scholar Faria, A. J., Dickinson, J. R. (1992). Mail survey response, speed, and cost. Industrial Marketing Management, 21(1), 51–60. https://doi.org/10.1016/0019-8501(92)90033-P
Google Scholar Field, T. S., Cadoret, C. A., Brown, M. L., Ford, M., Greene, S. M., Hill, D., Hornbrook, M. C., Meenan, R. T., White, M. J., Zapka, J. M. (2002). Surveying physicians: do components of the “Total Design Approach” to optimizing survey response rates apply to physicians? Medical Care, 40(7), 596–605. https://doi.org/10.1097/00005650-200207000-00006
Google Scholar Foo, C. Y., Reidpath, D. D., Sivasampu, S. (2019). The association between hospital characteristics and nonresponse in an organization survey: An analysis of the national healthcare establishment and workforce survey in Malaysia. Evaluation & the Health Professions, 42(1), 3–23. https://doi.org/10.1177/0163278717713569
Google Scholar Fox, R. J., Crask, M. R., Kim, J. (1988). Mail survey response rate: A meta-analysis of selected techniques for inducing response. Public Opinion Quarterly, 52(4), 467–491. http://www.jstor.org/stable/2749256
Google Scholar Fulton, B. R. (2018). Organizations and survey research: Implementing response enhancing strategies and conducting nonresponse analyses. Sociological Methods & Research, 47(2), 240–276. https://doi.org/10.1177/0049124115626169
Google Scholar Genovesi, A. L., Edgerton, E. A., Ely, M., Hewes, H., Olson, L. M. (2018). Getting more performance out of performance measures: The journey and impact of the EMS for Children Program. Clinical Pediatric Emergency Medicine, 19(3), 206–215. https://doi.org/10.1016/j.cpem.2018.08.009
Google Scholar Groves, R. M. (2006). Nonresponse rates and nonresponse bias in household surveys. Public Opinion Quarterly, 70(5), 646–675. https://doi.org/10.1093/poq/nfl033
Google Scholar Gupta, N., Shaw, J. D., Delery, J. E. (2000). Correlates of response outcomes among organizational key informants. Orgazational Research Methods, 4(4), 323–347. https://doi.org/10.1177/109442810034002
Google Scholar Hansen, K. M., Pedersen, R. T. (2012). Efficiency of different recruitment strategies for web panels. International Journal of Public Opinion Research, 24(2), 238–249. https://doi.org/10.1093/ijpor/edr020
Google Scholar Heberlein, T. A., Baumgartner, R. (1978). Factors affecting response rates to mailed questionnaires: A quantitative analysis of the published literature. American Sociological Review, 43(4), 447–462. https://doi.org/10.2307/2094771
Google Scholar Hendra, R., Hill, A. (2019). Rethinking response rates: New evidence of little relationship between survey response rates and nonresponse bias. Evaluation Review, 43(5), 307–330. https://doi.org/10.1177/0193841x18807719
Google Scholar Hewes, H. A., Ely, M., Richards, R., Shah, M. I., Busch, S., Pilkey, D., Hert, K. D., Olson, L. M. (2019). Ready for children: Assessing pediatric care coordination and psychomotor skills evaluation in the prehospital setting. Prehospital Emergency Care, 23(4), 510–518. https://doi.org/10.1080/10903127.2018.1542472
Google Scholar Johnson, T. P., Wislar, J. S. (2012). Response rates and nonresponse errors in surveys. JAMA, 307(17), 1805–1806. https://doi.org/10.1001/jama.2012.3532
Google Scholar Koitsalu, M., Eklund, M., Adolfsson, J., Grönberg, H., Brandberg, Y. (2018). Effects of pre-notification, invitation length, questionnaire length and reminder on participation rate: a quasi-randomised controlled trial. BMC Medical Research Methodology, 18(1), 3. https://doi.org/10.1186/s12874-017-0467-5
Google Scholar Ladik, D. M., Carrillat, F. A., Solomon, P. J. (2007). The effectiveness of university sponsorship in increasing survey response rate. Journal of Marketing Theory and Practice, 15(3), 263–271. https://doi.org/10.2753/MTP1069-6679150306
Google Scholar Lewis, E. F., Hardy, M., Snaith, B. (2013). Estimating the effect of nonresponse bias in a survey of hospital organizations. Evaluation & the Health Professions, 36(3), 330–351. https://doi.org/10.1177/0163278713496565
Google Scholar Li, A., Cronin, S., Bai, Y. Q., Walker, K., Ammi, M., Hogg, W., Wong, S. T., Wodchis, W. P. (2018). Assessing the representativeness of physician and patient respondents to a primary care survey using administrative data. BMC Family Practice, 19(1), 77. https://doi.org/10.1186/s12875-018-0767-9
Google Scholar Loft, J. D., Murphy, J., Hill, C. A. (2015). Surveys of health care organizations. In Johnson, T. P. (Ed.), Handbook of health survey methods (pp. 545–560). John Wiley & Sons.
Google Scholar McCoy, M., Hargie, O. (2007). Effects of personalization and envelope color on response rate, speed and quality among a business population. Industrial Marketing Management, 36(6), 799–809. https://doi.org/10.1016/j.indmarman.2006.02.009
Google Scholar Myers, R. P., Shaheen, A. A., Lee, S. S. (2007). Impact of pharmaceutical industry versus university sponsorship on survey response: a randomized trial among Canadian hepatitis C care providers. Canadian Journal of Gastroenterology, 21(3), 169–175. https://doi.org/10.1155/2007/945630
Google Scholar National EMS for Children Data Analysis Resource Center . (2017). EMS for children peformance measures: Implementation manual for state partnership grantees. https://nedarc.org/performanceMeasures/documents/EMS%20Perf%20Measures%20Manual%20Web_0217.pdf
Google Scholar Perneger, T. V., Chamot, E., Bovier, P. A. (2005). Nonresponse bias in a survey of patient perceptions of hospital care. Medical Care, 43(4), 374–380. https://doi.org/10.1097/01.mlr.0000156856.36901.40
Google Scholar Salim Silva, M., Smith, W. T., Bammer, G. (2002). Telephone reminders are a cost effective way to improve responses in postal health surveys. Journal of Epidemiology and Community Health, 56, 115–118. https://doi.org/10.1136/jech.56.2.115
Google Scholar Urban, G. L., Amyx, C., Lorenzon, A. (2009). Online trust: State of the art, new rrontiers, and research potential. Journal of Interactive Marketing, 23(2), 179–190. https://doi.org/10.1016/j.intmar.2009.03.001
Google Scholar VanGeest, J. B., Beebe, T. J., Johnson, T. P. (2015). Surveys of physicians. In Johnson, T. P. (Ed.), Handbook of health survey methods (pp. 515–543). John Wiley & Sons.
Google Scholar Willimack, D. K., Nichols, E. (2010). A hybrid response process model for business surveys. Journal of Official Statistics, 26(1), 3–24.
Google Scholar