Cargando…
Comparison of a Collective Intelligence Tailored Messaging System on Smoking Cessation Between African American and White People Who Smoke: Quasi-Experimental Design
BACKGROUND: The Patient Experience Recommender System for Persuasive Communication Tailoring (PERSPeCT) is a machine learning recommender system with a database of messages to motivate smoking cessation. PERSPeCT uses the collective intelligence of users (ie, preferences and feedback) and demographi...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215495/ https://www.ncbi.nlm.nih.gov/pubmed/32338619 http://dx.doi.org/10.2196/18064 |
_version_ | 1783532201013411840 |
---|---|
author | Faro, Jamie M Nagawa, Catherine S Allison, Jeroan A Lemon, Stephenie C Mazor, Kathleen M Houston, Thomas K Sadasivam, Rajani S |
author_facet | Faro, Jamie M Nagawa, Catherine S Allison, Jeroan A Lemon, Stephenie C Mazor, Kathleen M Houston, Thomas K Sadasivam, Rajani S |
author_sort | Faro, Jamie M |
collection | PubMed |
description | BACKGROUND: The Patient Experience Recommender System for Persuasive Communication Tailoring (PERSPeCT) is a machine learning recommender system with a database of messages to motivate smoking cessation. PERSPeCT uses the collective intelligence of users (ie, preferences and feedback) and demographic and smoking profiles to select motivating messages. PERSPeCT may be more beneficial for tailoring content to minority groups influenced by complex, personally relevant factors. OBJECTIVE: The objective of this study was to describe and evaluate the use of PERSPeCT in African American people who smoke compared with white people who smoke. METHODS: Using a quasi-experimental design, we compared African American people who smoke with a historical cohort of white people who smoke, who both received up to 30 emailed tailored messages over 65 days. People who smoke rated the daily message in terms of perceived influence on quitting smoking for 30 days. Our primary analysis compared daily message ratings between the two groups using a t test. We used a logistic model to compare 30-day cessation between the two groups and adjusted for covariates. RESULTS: The study included 119 people who smoke (African Americans, 55/119; whites, 64/119). At baseline, African American people who smoke were significantly more likely to report allowing smoking in the home (P=.002); all other characteristics were not significantly different between groups. Daily mean ratings were higher for African American than white people who smoke on 26 of the 30 days (P<.001). Odds of quitting as measured by 30-day cessation were significantly higher for African Americans (odds ratio 2.3, 95% CI 1.04-5.53; P=.03) and did not change after adjusting for allowing smoking at home. CONCLUSIONS: Our study highlighted the potential of using a recommender system to personalize for African American people who smoke. TRIAL REGISTRATION: ClinicalTrials.gov NCT02200432; https://clinicaltrials.gov/ct2/show/NCT02200432 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/jmir.6465 |
format | Online Article Text |
id | pubmed-7215495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-72154952020-05-15 Comparison of a Collective Intelligence Tailored Messaging System on Smoking Cessation Between African American and White People Who Smoke: Quasi-Experimental Design Faro, Jamie M Nagawa, Catherine S Allison, Jeroan A Lemon, Stephenie C Mazor, Kathleen M Houston, Thomas K Sadasivam, Rajani S JMIR Mhealth Uhealth Original Paper BACKGROUND: The Patient Experience Recommender System for Persuasive Communication Tailoring (PERSPeCT) is a machine learning recommender system with a database of messages to motivate smoking cessation. PERSPeCT uses the collective intelligence of users (ie, preferences and feedback) and demographic and smoking profiles to select motivating messages. PERSPeCT may be more beneficial for tailoring content to minority groups influenced by complex, personally relevant factors. OBJECTIVE: The objective of this study was to describe and evaluate the use of PERSPeCT in African American people who smoke compared with white people who smoke. METHODS: Using a quasi-experimental design, we compared African American people who smoke with a historical cohort of white people who smoke, who both received up to 30 emailed tailored messages over 65 days. People who smoke rated the daily message in terms of perceived influence on quitting smoking for 30 days. Our primary analysis compared daily message ratings between the two groups using a t test. We used a logistic model to compare 30-day cessation between the two groups and adjusted for covariates. RESULTS: The study included 119 people who smoke (African Americans, 55/119; whites, 64/119). At baseline, African American people who smoke were significantly more likely to report allowing smoking in the home (P=.002); all other characteristics were not significantly different between groups. Daily mean ratings were higher for African American than white people who smoke on 26 of the 30 days (P<.001). Odds of quitting as measured by 30-day cessation were significantly higher for African Americans (odds ratio 2.3, 95% CI 1.04-5.53; P=.03) and did not change after adjusting for allowing smoking at home. CONCLUSIONS: Our study highlighted the potential of using a recommender system to personalize for African American people who smoke. TRIAL REGISTRATION: ClinicalTrials.gov NCT02200432; https://clinicaltrials.gov/ct2/show/NCT02200432 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/jmir.6465 JMIR Publications 2020-04-27 /pmc/articles/PMC7215495/ /pubmed/32338619 http://dx.doi.org/10.2196/18064 Text en ©Jamie M Faro, Catherine S Nagawa, Jeroan A Allison, Stephenie C Lemon, Kathleen M Mazor, Thomas K Houston, Rajani S Sadasivam. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 27.04.2020. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Faro, Jamie M Nagawa, Catherine S Allison, Jeroan A Lemon, Stephenie C Mazor, Kathleen M Houston, Thomas K Sadasivam, Rajani S Comparison of a Collective Intelligence Tailored Messaging System on Smoking Cessation Between African American and White People Who Smoke: Quasi-Experimental Design |
title | Comparison of a Collective Intelligence Tailored Messaging System on Smoking Cessation Between African American and White People Who Smoke: Quasi-Experimental Design |
title_full | Comparison of a Collective Intelligence Tailored Messaging System on Smoking Cessation Between African American and White People Who Smoke: Quasi-Experimental Design |
title_fullStr | Comparison of a Collective Intelligence Tailored Messaging System on Smoking Cessation Between African American and White People Who Smoke: Quasi-Experimental Design |
title_full_unstemmed | Comparison of a Collective Intelligence Tailored Messaging System on Smoking Cessation Between African American and White People Who Smoke: Quasi-Experimental Design |
title_short | Comparison of a Collective Intelligence Tailored Messaging System on Smoking Cessation Between African American and White People Who Smoke: Quasi-Experimental Design |
title_sort | comparison of a collective intelligence tailored messaging system on smoking cessation between african american and white people who smoke: quasi-experimental design |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215495/ https://www.ncbi.nlm.nih.gov/pubmed/32338619 http://dx.doi.org/10.2196/18064 |
work_keys_str_mv | AT farojamiem comparisonofacollectiveintelligencetailoredmessagingsystemonsmokingcessationbetweenafricanamericanandwhitepeoplewhosmokequasiexperimentaldesign AT nagawacatherines comparisonofacollectiveintelligencetailoredmessagingsystemonsmokingcessationbetweenafricanamericanandwhitepeoplewhosmokequasiexperimentaldesign AT allisonjeroana comparisonofacollectiveintelligencetailoredmessagingsystemonsmokingcessationbetweenafricanamericanandwhitepeoplewhosmokequasiexperimentaldesign AT lemonstepheniec comparisonofacollectiveintelligencetailoredmessagingsystemonsmokingcessationbetweenafricanamericanandwhitepeoplewhosmokequasiexperimentaldesign AT mazorkathleenm comparisonofacollectiveintelligencetailoredmessagingsystemonsmokingcessationbetweenafricanamericanandwhitepeoplewhosmokequasiexperimentaldesign AT houstonthomask comparisonofacollectiveintelligencetailoredmessagingsystemonsmokingcessationbetweenafricanamericanandwhitepeoplewhosmokequasiexperimentaldesign AT sadasivamrajanis comparisonofacollectiveintelligencetailoredmessagingsystemonsmokingcessationbetweenafricanamericanandwhitepeoplewhosmokequasiexperimentaldesign |