Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research
Remote collection of biomarkers of tobacco use in clinical trials poses significant challenges. A recent meta-analysis and scoping review of the smoking cessation literature indicated that sample return rates are low and that new methods are needed to investigate the underlying causes of these low r...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Addiction Neuroscience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772392523000330 |
| _version_ | 1797801668018962432 |
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| author | Roger Vilardaga Johannes Thrul Anthony DeVito Darla E. Kendzor Patricia Sabo Tatiana Cohab Khafif |
| author_facet | Roger Vilardaga Johannes Thrul Anthony DeVito Darla E. Kendzor Patricia Sabo Tatiana Cohab Khafif |
| author_sort | Roger Vilardaga |
| collection | DOAJ |
| description | Remote collection of biomarkers of tobacco use in clinical trials poses significant challenges. A recent meta-analysis and scoping review of the smoking cessation literature indicated that sample return rates are low and that new methods are needed to investigate the underlying causes of these low rates. In this paper we conducted a narrative review and heuristic analysis of the different human factors approaches reported to evaluate and/or improve sample return rates among 31 smoking cessation studies recently identified in the literature. We created a heuristic metric (with scores from 0 to 4) to evaluate the level of elaboration or complexity of the user-centered design strategy reported by researchers. Our review of the literature identified five types of challenges typically encountered by researchers (in that order): usability and procedural, technical (device related), sample contamination (e.g., polytobacco), psychosocial factors (e.g., digital divide), and motivational factors. Our review of strategies indicated that 35% of the studies employed user-centered design methods with the remaining studies relying on informal methods. Among the studies that employed user-centered design methods, only 6% reached a level of 3 in our user-centered design heuristic metric. None of the studies reached the highest level of complexity (i.e., 4). This review examined these findings in the context of the larger literature, discussed the need to address the role of health equity factors more directly, and concluded with a call to action to increase the application and reporting of user-centered design strategies in biomarkers research. |
| first_indexed | 2024-03-13T04:53:58Z |
| format | Article |
| id | doaj.art-d855eb3b4be543a3819e6a5d847dd477 |
| institution | Directory Open Access Journal |
| issn | 2772-3925 |
| language | English |
| last_indexed | 2024-03-13T04:53:58Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Addiction Neuroscience |
| spelling | doaj.art-d855eb3b4be543a3819e6a5d847dd4772023-06-18T05:04:04ZengElsevierAddiction Neuroscience2772-39252023-09-017100090Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design researchRoger Vilardaga0Johannes Thrul1Anthony DeVito2Darla E. Kendzor3Patricia Sabo4Tatiana Cohab Khafif5Access to Behavioral Health for All (ABHA) Laboratory, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA; Department of Human Centered Design and Engineering, University of Washington, Seattle, Washington, USA; Corresponding author at: Access to Behavioral Health for All (ABHA) Laboratory, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA; Centre for Alcohol Policy Research, La Trobe University, Melbourne, AustraliaAccess to Behavioral Health for All (ABHA) Laboratory, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USAThe TSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USAAccess to Behavioral Health for All (ABHA) Laboratory, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USAAccess to Behavioral Health for All (ABHA) Laboratory, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA; Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, São Paulo, BrazilRemote collection of biomarkers of tobacco use in clinical trials poses significant challenges. A recent meta-analysis and scoping review of the smoking cessation literature indicated that sample return rates are low and that new methods are needed to investigate the underlying causes of these low rates. In this paper we conducted a narrative review and heuristic analysis of the different human factors approaches reported to evaluate and/or improve sample return rates among 31 smoking cessation studies recently identified in the literature. We created a heuristic metric (with scores from 0 to 4) to evaluate the level of elaboration or complexity of the user-centered design strategy reported by researchers. Our review of the literature identified five types of challenges typically encountered by researchers (in that order): usability and procedural, technical (device related), sample contamination (e.g., polytobacco), psychosocial factors (e.g., digital divide), and motivational factors. Our review of strategies indicated that 35% of the studies employed user-centered design methods with the remaining studies relying on informal methods. Among the studies that employed user-centered design methods, only 6% reached a level of 3 in our user-centered design heuristic metric. None of the studies reached the highest level of complexity (i.e., 4). This review examined these findings in the context of the larger literature, discussed the need to address the role of health equity factors more directly, and concluded with a call to action to increase the application and reporting of user-centered design strategies in biomarkers research.http://www.sciencedirect.com/science/article/pii/S2772392523000330Smoking cessationClinical trialsBiomarkersBiochemical verificationRemote studiesSample return rates |
| spellingShingle | Roger Vilardaga Johannes Thrul Anthony DeVito Darla E. Kendzor Patricia Sabo Tatiana Cohab Khafif Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research Addiction Neuroscience Smoking cessation Clinical trials Biomarkers Biochemical verification Remote studies Sample return rates |
| title | Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research |
| title_full | Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research |
| title_fullStr | Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research |
| title_full_unstemmed | Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research |
| title_short | Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research |
| title_sort | review of strategies to investigate low sample return rates in remote tobacco trials a call to action for more user centered design research |
| topic | Smoking cessation Clinical trials Biomarkers Biochemical verification Remote studies Sample return rates |
| url | http://www.sciencedirect.com/science/article/pii/S2772392523000330 |
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