TY - JOUR
T1 - You Don't Need an App—Conducting Mobile Smoking Research Using a Qualtrics-Based Approach
AU - Cui, Yong
AU - Robinson, Jason D.
AU - Rymer, Rudel E.
AU - Minnix, Jennifer A.
AU - Cinciripini, Paul M.
N1 - Publisher Copyright:
Copyright © 2022 Cui, Robinson, Rymer, Minnix and Cinciripini.
PY - 2022/1/6
Y1 - 2022/1/6
N2 - With the increasing availability of smartphones, many tobacco researchers are exploring smartphone-delivered mobile smoking interventions as a disseminable means of treatment. Most effort has been focused on the development of smartphone applications (apps) to conduct mobile smoking research to implement and validate these interventions. However, developing project-specific smartphone apps that work across multiple mobile platforms (e.g., iOS and Android) can be costly and time-consuming. Here, using a hypothetical study, we present an alternate approach to demonstrate how mobile smoking cessation and outcome evaluation can be conducted without the need of a dedicated app. Our approach uses the Qualtrics platform, a popular online survey host that is used under license by many academic institutions. This platform allows researchers to conduct device-agnostic screening, consenting, and administration of questionnaires through Qualtrics's native survey engine. Researchers can also collect ecological momentary assessment data using text messaging prompts with the incorporation of Amazon Web Services' Pinpoint. Besides these assessment capabilities, Qualtrics has the potential for delivering personalized behavioral interventions through the use of JavaScript code. By customizing the question's web elements in Qualtrics (e.g., using texts, images, videos, and buttons), researchers can integrate interactive web-based interventions and complicated behavioral and cognitive tasks into the survey. In conclusion, this Qualtrics-based methodology represents a novel and cost-effective approach for conducting mobile smoking cessation and assessment research.
AB - With the increasing availability of smartphones, many tobacco researchers are exploring smartphone-delivered mobile smoking interventions as a disseminable means of treatment. Most effort has been focused on the development of smartphone applications (apps) to conduct mobile smoking research to implement and validate these interventions. However, developing project-specific smartphone apps that work across multiple mobile platforms (e.g., iOS and Android) can be costly and time-consuming. Here, using a hypothetical study, we present an alternate approach to demonstrate how mobile smoking cessation and outcome evaluation can be conducted without the need of a dedicated app. Our approach uses the Qualtrics platform, a popular online survey host that is used under license by many academic institutions. This platform allows researchers to conduct device-agnostic screening, consenting, and administration of questionnaires through Qualtrics's native survey engine. Researchers can also collect ecological momentary assessment data using text messaging prompts with the incorporation of Amazon Web Services' Pinpoint. Besides these assessment capabilities, Qualtrics has the potential for delivering personalized behavioral interventions through the use of JavaScript code. By customizing the question's web elements in Qualtrics (e.g., using texts, images, videos, and buttons), researchers can integrate interactive web-based interventions and complicated behavioral and cognitive tasks into the survey. In conclusion, this Qualtrics-based methodology represents a novel and cost-effective approach for conducting mobile smoking cessation and assessment research.
KW - digital health
KW - ecological momentary assessment
KW - mHealth
KW - mobile intervention
KW - qualtrics
KW - smartphone app
KW - smoking research
UR - http://www.scopus.com/inward/record.url?scp=85131258268&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85131258268&partnerID=8YFLogxK
U2 - 10.3389/fdgth.2021.799468
DO - 10.3389/fdgth.2021.799468
M3 - Article
C2 - 35072151
AN - SCOPUS:85131258268
SN - 2673-253X
VL - 3
JO - Frontiers in Digital Health
JF - Frontiers in Digital Health
M1 - 799468
ER -