Literature DB >> 23969583

Do additional recontacts to increase response rate improve physician survey data quality?

Gordon B Willis1, Tenbroeck Smith, Hyunshik J Lee.   

Abstract

BACKGROUND: Although response rates for physician surveys have been decreasing, it is not clear whether this trend is associated with an increase in survey nonresponse bias. One means for assessing potential bias is to conduct a level-of-effort analysis that compares data estimates for respondents interviewed during the first recruitment contact to respondents interviewed at later recontact cycles.
METHODS: We compared early and later responders within the Survey of Physician Attitudes Regarding the Care of Cancer Survivors with respect to both demographic characteristics and aggregate survey responses to items on survivor care knowledge, attitudes, and practices.
RESULTS: Accumulating additional completions across each of 4 respondent contact attempts improved weighted response rates (35.0%, 46.9%, 52.3%, and 57.6%, respectively). However, the majority of estimates for analyzed variables remained relatively unchanged over additional cycles of recontact.
CONCLUSIONS: We conclude that additional respondent recontact attempts, especially beyond a single recontact, had little influence on key data distributions, suggesting that these were ineffective in reducing nonresponse bias. Further, the conduct of additional recruitment recontacts was an inefficient means for increasing statistical power. For the conduct of physician surveys, a practice that may in some cases be cost-effective, while also controlling total survey error, is to establish a larger initial sample; to either eliminate nonresponse follow-up or to limit this to one recontact; and to accept a somewhat lower final overall survey response rate.

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Mesh:

Year:  2013        PMID: 23969583      PMCID: PMC3784997          DOI: 10.1097/MLR.0b013e3182a5023d

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  7 in total

Review 1.  Physician response to surveys. A review of the literature.

Authors:  S E Kellerman; J Herold
Journal:  Am J Prev Med       Date:  2001-01       Impact factor: 5.043

2.  Impact of differential response rates on the quality of data collected in the CTS physician survey.

Authors:  Julie A Schoenman; Marc L Berk; Jacob J Feldman; Andrew Singer
Journal:  Eval Health Prof       Date:  2003-03       Impact factor: 2.651

Review 3.  Surveying physicians: do components of the "Total Design Approach" to optimizing survey response rates apply to physicians?

Authors:  Terry S Field; Cynthia A Cadoret; Martin L Brown; Marvella Ford; Sarah M Greene; Deanna Hill; Mark C Hornbrook; Richard T Meenan; Mary Jo White; Jane M Zapka
Journal:  Med Care       Date:  2002-07       Impact factor: 2.983

Review 4.  Methodologies for improving response rates in surveys of physicians: a systematic review.

Authors:  Jonathan B VanGeest; Timothy P Johnson; Verna L Welch
Journal:  Eval Health Prof       Date:  2007-12       Impact factor: 2.651

5.  Response rates and nonresponse errors in surveys.

Authors:  Timothy P Johnson; Joseph S Wislar
Journal:  JAMA       Date:  2012-05-02       Impact factor: 56.272

6.  Interviewing physicians: the effect of improved response rate.

Authors:  M L Berk
Journal:  Am J Public Health       Date:  1985-11       Impact factor: 9.308

7.  Differences between primary care physicians' and oncologists' knowledge, attitudes and practices regarding the care of cancer survivors.

Authors:  Arnold L Potosky; Paul K J Han; Julia Rowland; Carrie N Klabunde; Tenbroeck Smith; Noreen Aziz; Craig Earle; John Z Ayanian; Patricia A Ganz; Michael Stefanek
Journal:  J Gen Intern Med       Date:  2011-07-22       Impact factor: 5.128

  7 in total
  13 in total

1.  Combining Internet-Based and Postal Survey Methods in a Survey among Gynecologists: Results of a Randomized Trial.

Authors:  Sinja Alexandra Ernst; Tilman Brand; Stefan K Lhachimi; Hajo Zeeb
Journal:  Health Serv Res       Date:  2017-02-19       Impact factor: 3.402

2.  Expansion or compression of multimorbidity? 10-year development of life years spent in multimorbidity based on health insurance claims data of Lower Saxony, Germany.

Authors:  Juliane Tetzlaff; Denise Muschik; Jelena Epping; Sveja Eberhard; Siegfried Geyer
Journal:  Int J Public Health       Date:  2017-03-10       Impact factor: 3.380

3.  Health IT-Enabled Care Coordination: A National Survey of Patient-Centered Medical Home Clinicians.

Authors:  Suzanne Morton; Sarah C Shih; Chloe H Winther; Aldo Tinoco; Rodger S Kessler; Sarah Hudson Scholle
Journal:  Ann Fam Med       Date:  2015 May-Jun       Impact factor: 5.166

4.  The effect of multiple recruitment contacts on response rates and patterns of missing data in a survey of bladder cancer survivors 6 months after cystectomy.

Authors:  Joanna E Bulkley; Maureen O'Keeffe-Rosetti; Christopher S Wendel; James V Davis; Kim N Danforth; Teresa N Harrison; Marilyn L Kwan; Julie Munneke; Neon Brooks; Marcia Grant; Michael C Leo; Matthew Banegas; Sheila Weinmann; Carmit K McMullen
Journal:  Qual Life Res       Date:  2019-12-06       Impact factor: 4.147

5.  The effect of My Health Record use in the emergency department on clinician-assessed patient care: results from a survey.

Authors:  Alexandra Mullins; Renee O'Donnell; Heather Morris; Michael Ben-Meir; Kostas Hatzikiriakidis; Lisa Brichko; Helen Skouteris
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-05       Impact factor: 3.298

6.  Practice characteristics of Emergency Department extracorporeal cardiopulmonary resuscitation (eCPR) programs in the United States: The current state of the art of Emergency Department extracorporeal membrane oxygenation (ED ECMO).

Authors:  Joseph E Tonna; Nicholas J Johnson; John Greenwood; David F Gaieski; Zachary Shinar; Joseph M Bellezo; Lance Becker; Atman P Shah; Scott T Youngquist; Michael P Mallin; James Franklin Fair; Kyle J Gunnerson; Cindy Weng; Stephen McKellar
Journal:  Resuscitation       Date:  2016-08-11       Impact factor: 5.262

7.  A Cross-Sectional Survey of Interventional Radiologists and Vascular Surgeons Regarding the Cost and Reimbursement of Common Devices and Procedures.

Authors:  Angela Wang; Stephanie L Dybul; Parag J Patel; Sean M Tutton; Cheong J Lee; Sarah B White
Journal:  J Vasc Interv Radiol       Date:  2015-12-17       Impact factor: 3.464

8.  ICU Attending Handoff Practices: Results From a National Survey of Academic Intensivists.

Authors:  Meghan B Lane-Fall; Meredith L Collard; Alison E Turnbull; Scott D Halpern; Judy A Shea
Journal:  Crit Care Med       Date:  2016-04       Impact factor: 7.598

9.  Design and respondent selection of a population-based study on associations between breast cancer screening, lifestyle and quality of life.

Authors:  Tytti Sarkeala; Sirpa Heinävaara; Jonna Fredman; Satu Männistö; Riitta Luoto; Maija Jäntti; Nea Malila
Journal:  BMC Public Health       Date:  2015-12-18       Impact factor: 3.295

10.  A survey to identify barriers of implementing an antibiotic checklist.

Authors:  F V van Daalen; S E Geerlings; J M Prins; M E J L Hulscher
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-01-25       Impact factor: 3.267

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