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Lessons Learned From a Sequential Mixed-Mode Survey Design to Recruit and Collect Data From Case-Control Study Participants: Formative Evaluation.
Tran, Amanda D; White, Alice E; Torok, Michelle R; Jervis, Rachel H; Albanese, Bernadette A; Scallan Walter, Elaine J.
Afiliação
  • Tran AD; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, United States.
  • White AE; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, United States.
  • Torok MR; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, United States.
  • Jervis RH; Colorado Department of Public Health and Environment, Denver, CO, United States.
  • Albanese BA; Adams County Health Department, Brighton, CO, United States.
  • Scallan Walter EJ; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, United States.
JMIR Form Res ; 8: e56218, 2024 May 27.
Article em En | MEDLINE | ID: mdl-38801768
ABSTRACT

BACKGROUND:

Sequential mixed-mode surveys using both web-based surveys and telephone interviews are increasingly being used in observational studies and have been shown to have many benefits; however, the application of this survey design has not been evaluated in the context of epidemiological case-control studies.

OBJECTIVE:

In this paper, we discuss the challenges, benefits, and limitations of using a sequential mixed-mode survey design for a case-control study assessing risk factors during the COVID-19 pandemic.

METHODS:

Colorado adults testing positive for SARS-CoV-2 were randomly selected and matched to those with a negative SARS-CoV-2 test result from March to April 2021. Participants were first contacted by SMS text message to complete a self-administered web-based survey asking about community exposures and behaviors. Those who did not respond were contacted for a telephone interview. We evaluated the representativeness of survey participants to sample populations and compared sociodemographic characteristics, participant responses, and time and resource requirements by survey mode using descriptive statistics and logistic regression models.

RESULTS:

Of enrolled case and control participants, most were interviewed by telephone (308/537, 57.4% and 342/648, 52.8%, respectively), with overall enrollment more than doubling after interviewers called nonresponders. Participants identifying as female or White non-Hispanic, residing in urban areas, and not working outside the home were more likely to complete the web-based survey. Telephone participants were more likely than web-based participants to be aged 18-39 years or 60 years and older and reside in areas with lower levels of education, more linguistic isolation, lower income, and more people of color. While there were statistically significant sociodemographic differences noted between web-based and telephone case and control participants and their respective sample pools, participants were more similar to sample pools when web-based and telephone responses were combined. Web-based participants were less likely to report close contact with an individual with COVID-19 (odds ratio [OR] 0.70, 95% CI 0.53-0.94) but more likely to report community exposures, including visiting a grocery store or retail shop (OR 1.55, 95% CI 1.13-2.12), restaurant or cafe or coffee shop (OR 1.52, 95% CI 1.20-1.92), attending a gathering (OR 1.69, 95% CI 1.34-2.15), or sport or sporting event (OR 1.05, 95% CI 1.05-1.88). The web-based survey required an average of 0.03 (SD 0) person-hours per enrolled participant and US $920 in resources, whereas the telephone interview required an average of 5.11 person-hours per enrolled participant and US $70,000 in interviewer wages.

CONCLUSIONS:

While we still encountered control recruitment challenges noted in other observational studies, the sequential mixed-mode design was an efficient method for recruiting a more representative group of participants for a case-control study with limited impact on data quality and should be considered during public health emergencies when timely and accurate exposure information is needed to inform control measures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: JMIR Form Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: JMIR Form Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos