Physician response rates to a mail survey by specialty and timing of incentive

Am J Prev Med. 2004 Apr;26(3):234-6. doi: 10.1016/j.amepre.2003.12.013.

Abstract

Background: Historically, achieving a high response rate on physician surveys has been a challenging task. Given such concerns, understanding research strategies that facilitate adequate response rates is important. Primary care physician responses to a mail survey on smoking cessation are summarized by physician specialty and timing of incentive.

Methods: A stratified random-sample design, stratified by patient populations-adults, adolescents, and pregnant women-was used. The sampling frame included New Jersey internists, general practitioners, family physicians, pediatricians, and obstetrician-gynecologists. A total of 2100 physicians, 700 physicians from each patient strata, were sampled and mailed a smoking-cessation survey in summer 2002. The sample was randomized by incentive timing: Half received the incentive (i.e., 25 dollars gift card) with the first survey mailing, and half received the incentive on receipt of their completed survey.

Results: The promised-incentive group achieved a significantly lower response rate (56%) compared with the up-front-incentive group (71.5%). Response rates by medical specialty varied overall and within incentive groups. The difference between the incentive groups was greatest among obstetrician-gynecologists (i.e., 20.2 percentage points) and was least among pediatricians (i.e., 5.8 percentage points).

Conclusions: Physician response rates to mail surveys are greatly improved, especially among certain medical specialties, by using up-front incentives.

Publication types

  • Clinical Trial
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Attitude of Health Personnel
  • Chi-Square Distribution
  • Cooperative Behavior*
  • Female
  • Health Care Surveys
  • Humans
  • Male
  • Medicine
  • Motivation*
  • Physician's Role
  • Pregnancy
  • Primary Health Care / standards*
  • Primary Health Care / trends
  • Probability
  • Sampling Studies
  • Smoking Cessation*
  • Specialization
  • Surveys and Questionnaires
  • Time Factors