June 2020
Volume 61, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2020
Assessing the Quality of Published Surveys in Ophthalmology
Author Affiliations & Notes
  • Elaine M Tran
    Division of Ophthalmology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States
    Section of Ophthalmology, Providence Veterans Affairs Medical Center, Providence, Rhode Island, United States
  • Megan M Tran
    Division of Ophthalmology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States
    Section of Ophthalmology, Providence Veterans Affairs Medical Center, Providence, Rhode Island, United States
  • Melissa A Clark
    Department of Health Services, School of Public Health, Brown University, Providence, Rhode Island, United States
  • Ingrid U Scott
    Departments of Ophthalmology and Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, United States
  • Curtis E Margo
    Departments of Ophthalmology and Pathology and Cell Biology, Morsani College of Medicine, University of South Florida, Tampa, Florida, United States
  • Carol Cosenza
    Center for Survey Research, University of Massachusetts Boston, Boston, Massachusetts, United States
  • Timothy P Johnson
    Survey Research Laboratory, University of Illinois at Chicago, Chicago, Illinois, United States
  • Paul B Greenberg
    Division of Ophthalmology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States
    Section of Ophthalmology, Providence Veterans Affairs Medical Center, Providence, Rhode Island, United States
  • Footnotes
    Commercial Relationships   Elaine Tran, None; Megan Tran, None; Melissa Clark, None; Ingrid Scott, None; Curtis Margo, None; Carol Cosenza, None; Timothy Johnson, None; Paul Greenberg, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 1582. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Elaine M Tran, Megan M Tran, Melissa A Clark, Ingrid U Scott, Curtis E Margo, Carol Cosenza, Timothy P Johnson, Paul B Greenberg; Assessing the Quality of Published Surveys in Ophthalmology. Invest. Ophthalmol. Vis. Sci. 2020;61(7):1582.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : Surveys are an important research modality in ophthalmology, but their quality has not been rigorously assessed. This study evaluated the quality of published ophthalmic surveys.

Methods : Three survey methodologists, three senior ophthalmologists, and two research assistants developed a survey evaluation instrument focused on survey development and testing; sampling frame; response bias; results reporting; and ethics. Two investigators used the instrument to assess the quality of all ophthalmic surveys that were published between January 1, 2018 and December 31, 2018; indexed in MEDLINE/PubMed, Embase, and/or Web of Science; contained the search terms “ophthalmology” and “survey” or “questionnaire” in the title and/or abstract; and were available in English.

Results : The search identified 626 articles; 60 met the eligibility criteria and were assessed with the survey evaluation instrument. Most surveys (93%; 56/60) defined the study population; 48% (29/60) described how question items were chosen; 30% (18/60) provided the survey for review or described the questions in sufficient detail; 30% (18/60) were pre-tested or piloted; 25% (15/60) reported validity/clinical sensibility testing; 15% (9/60) described techniques used to assess non-response bias; and 63% (38/60) documented review by an institutional review board (IRB).

Conclusions : The quality of published ophthalmic surveys can be improved by focusing on survey development, pilot testing, non-response bias, and IRB review. The survey evaluation instrument can help guide researchers in conducting quality ophthalmic surveys and assist journal editors in evaluating surveys submitted for publication.

This is a 2020 ARVO Annual Meeting abstract.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×