Telephone vs. Web-based prescreening predicts early but not overall physician response to a mailed survey

Telephone vs. Web-based prescreening predicts early but not overall physician response to a mailed survey

Journal of Clinical Epidemiology - (2016) - LETTER TO THE EDITOR Telephone vs. Web-based prescreening predicts early but not overall physician res...

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Journal of Clinical Epidemiology

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(2016)

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LETTER TO THE EDITOR Telephone vs. Web-based prescreening predicts early but not overall physician response to a mailed survey

1. Low-budget approaches to increase physician response to surveys Low response rates remain a challenge to survey studies of clinicians [1]. Low-budget approaches to increasing response include shorter survey length [2,3], and personalization of survey materials [4], with mixed results. Advance contact of physicians, or prescreening, is another strategy. Although Web-based prescreening is less expensive and bothersome to physicians and office staff than telephone contact, it is limited to the information available online and precludes advance notice of mailings. To evaluate these approaches, we modeled the association between each strategy and physician response: (1) Web vs. telephone prescreening, (2) short vs. long questionnaire, and (3) personalization (handwritten vs. typed materials), from a 45-item survey about physician views of overtreatment guidelines mailed by first-class mail with a $2 bill in July 2014, followed by two remailings 6 weeks apart.

2. Web-based prescreening algorithm Of the 2,170 internists randomly selected from the AMA masterfile, 1,128 (52.0%) received phone calls to confirm address, specialty, and active clinical practice and 1,042 (48.0%) were prescreened via the Web. First, specialty was confirmed using healthgrades.com. Next, office address was mapped using maps.google.com to exclude hospitalists (practice address at a hospital) and physicians who relocated (whose database and healthgrades.com addresses were more than half-hour drive apart). Nonrespondents to the initial mailing received a single follow-up call to confirm eligibility. Telephone prescreening confirmed the eligibility of 329/ 1,128 (29.2%) and Web-based of 573/1,042 (55.0%) physicians. Web-based prescreening took half the time spent on telephone prescreening. There was no difference in

response rates between telephone vs. Web-based approaches (52.6% vs. 49.3%, P Z 0.34). Physicians prescreened by telephone were more likely to respond early (odds ratio [OR] 2.74; 95% confidence interval [CI] 1.35e5.57; P ! 0.01); however, there was no difference in the odds of overall response (OR 1.15; 95% CI 0.80e1.66; P Z 0.46). 3. Varying survey length and personalization Personalization of envelopes meant that the recipient address was handwritten. Personalization of cover letters meant that the cover letter and the salutation were handwritten. Two alternative survey lengths were tested (varying the amount of white space): five vs. four pages. There was no difference in response rates between handwritten vs. typed materials (51.0% vs. 46.9% for envelopes, P Z 0.34; 55.6% vs. 51.6% for cover letters, P Z 0.54); or between shorter vs. longer surveys (54.1% vs. 48.2%, P Z 0.36) or in the odds of response.

4. Web-based prescreening predicts early but not overall physician response The Web-based prescreening resulted in comparable odds of obtaining a response but was half as labor intensive as the telephone approach. Physicians who were prescreened via telephone were more likely to respond early, which may reflect ‘‘priming’’ through direct contact with office staff or an indication of overall ease of access to the physician. Consistent with prior reports [5], less than a third of potential respondents were found eligible after telephone prescreening. Although Web-based prescreening is not a perfect substitute for telephone prescreening, it can be used in place of telephone prescreening as long as researchers follow-up with nonrespondents. Hillary Bonuedie1 Leonard Davis Institute of Health Economics SUMR Program 3641 Locust Walk # 210 Philadelphia, PA 19104, USA

Esther Kim1 DOI of original article: http://dx.doi.org/10.1016/j.jclinepi.2004.06.004. 1 Both authors contributed equally to the study. Funding: K.R. is supported by the Ruth L. Kirschstein National Research Service Award (T32-HP10026) and is also the recipient of NIA Career Development Award (K08AG052572). Conflict of interest: None. 0895-4356/Ó 2016 Elsevier Inc. All rights reserved.

Division of General Internal Medicine Perelman School of Medicine University of Pennsylvania 423 Guardian Drive Philadelphia, PA 19104, USA

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Letter to the Editor / Journal of Clinical Epidemiology

Judith Long Division of General Internal Medicine Perelman School of Medicine University of Pennsylvania 12-01 Blockley Hall 423 Guardian Drive Philadelphia, PA 19104, USA Corporal Michael J. Crescenz VA Medical Center 3900 Woodland Ave Philadelphia, PA 19104, USA

Kira Ryskina* Division of General Internal Medicine Perelman School of Medicine University of Pennsylvania 12-30 Blockley Hall, 423 Guardian Drive Philadelphia, PA 19104, USA *Corresponding author. Tel.: þ1-215-898-3935; fax: þ1-215-573-2742. E-mail address: [email protected] (K. Ryskina)

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(2016)

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References [1] Cho YI, Johnson TP, VanGeest JB. Enhancing surveys of health care professionals: a meta-analysis of techniques to improve response. Eval Health Prof 2013;36(3):382e407. [2] Jepson C, Asch DA, Hershey JC, Ubel PA. In a mailed physician survey, questionnaire length had a threshold effect on response rate. J Clin Epidemiol 2005;58:103e5. [3] Bolt EE, van der Heide A, Onwuteaka-Philipsen BD. Reducing questionnaire length did not improve physician response rate: a randomized trial. J Clin Epidemiol 2014;67: 477e81. [4] Levy RM, Shapiro M, Halpern SD, Ming ME. Effect of personalization and candy incentive on response rates for a mailed survey of dermatologists. J Invest Dermatol 2012;132: 724e6. [5] DesRoches CM, Barrett KA, Harvey BE, Kogan R, Reschovsky JD, Landon BE, et al. The results are only as good as the sample: assessing three national physician sampling frames. J Gen Intern Med 2015;30:S595e601.

http://dx.doi.org/10.1016/j.jclinepi.2016.07.015