Aerny-Perreten Nicole, Domínguez-Berjón Ma Felicitas, Esteban-Vasallo María D, García-Riolobos Carmen
Subdirectorate for Health Promotion and Prevention, Primary Care Directorate, Madrid Regional Health Authority, Madrid, Spain.
J Eval Clin Pract. 2015 Aug;21(4):688-93. doi: 10.1111/jep.12367. Epub 2015 Apr 30.
RATIONALE, AIMS AND OBJECTIVES: Online surveys have several advantages, but a low response rate is common and it is uncertain how results are affected. Response inducement techniques can be used to overcome this problem. The objectives of this study were to describe the percentage of change in the response rate after reminders and to analyse the characteristics associated with non-response and late response based on the survey results, as well as by applying archival and extrapolation techniques.
In the Autonomous Community of Madrid, an online questionnaire about cancer prevention was sent to a random sample of primary care health professionals (3586 physicians and nurses). Two reminders were sent later. The percentage of change in response rates after reminders, global and by demographic and health care characteristics of participants; and factors associated with non-response and late response were analysed using response rates and odds ratios (ORs).
After the reminders, the response rate increased from 22.6% to 32.9% and to 39.4%. Non-response was associated with age [OR: 3.14; confidence interval (CI) 95%: 2.23-4.42 for aged >60 years], gender and functional area. Further, a higher response rate after reminders was observed in professionals with heavier workloads (OR: 1.46; CI 95%: 1.08-1.97) and in those who stated a lower relevance of cancer prevention in primary care.
After electronic reminders, the response rate increased, especially among professionals with the highest workloads and a minor interest in the survey topic. However, possible bias associated with non-response remains and the factors behind this should be examined in future research.
原理、目的和目标：在线调查有诸多优点，但低回复率很常见，且结果如何受影响尚不确定。可使用回复诱导技术来克服这一问题。本研究的目的是描述提醒后回复率的变化百分比，并根据调查结果以及应用存档和外推技术分析与未回复和延迟回复相关的特征。
在马德里自治区，向基层医疗保健专业人员（3586名医生和护士）的随机样本发送了一份关于癌症预防的在线问卷。随后发送了两次提醒。使用回复率和优势比（OR）分析提醒后回复率的变化百分比，包括总体以及按参与者的人口统计学和医疗保健特征划分的情况；并分析与未回复和延迟回复相关的因素。
提醒后，回复率从22.6%提高到32.9%，进而提高到39.4%。未回复与年龄[OR：3.14；95%置信区间（CI）：60岁以上为2.23 - 4.42]、性别和职能领域有关。此外，工作量较大的专业人员（OR：1.46；95%CI：1.08 - 1.97）以及那些表示癌症预防在基层医疗中相关性较低的人员在提醒后回复率更高。
电子提醒后，回复率有所提高，尤其是在工作量最大且对调查主题兴趣较小的专业人员中。然而，与未回复相关的潜在偏差仍然存在，未来研究应探讨其背后的因素。
