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Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System
IMPORTANCE: Health care systems deliver automated text or telephone messages to remind patients of appointments and to provide health information. Patients who receive multiple messages may demonstrate message fatigue by opting out of future messages. OBJECTIVE: To assess whether the volume of autom...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Medical Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998073/ https://www.ncbi.nlm.nih.gov/pubmed/33769509 http://dx.doi.org/10.1001/jamanetworkopen.2021.3479 |
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author | Steiner, John F. Zeng, Chan Comer, Angela C. Barrow, Jennifer C. Langer, Jonah N. Steffen, David A. Steiner, Claudia A. |
author_facet | Steiner, John F. Zeng, Chan Comer, Angela C. Barrow, Jennifer C. Langer, Jonah N. Steffen, David A. Steiner, Claudia A. |
author_sort | Steiner, John F. |
collection | PubMed |
description | IMPORTANCE: Health care systems deliver automated text or telephone messages to remind patients of appointments and to provide health information. Patients who receive multiple messages may demonstrate message fatigue by opting out of future messages. OBJECTIVE: To assess whether the volume of automated text or interactive voice response (IVR) telephone messages is associated with the likelihood of patients requesting to opt out of future messages. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was conducted at Kaiser Permanente Colorado (KPCO), an integrated health care system. All adult members who received 1 or more automated text or IVR message between October 1, 2018, and September 30, 2019, were included. EXPOSURES: Receipt of automated text or IVR messages. MAIN OUTCOMES AND MEASURES: Message volume and opt-out rates obtained from messaging systems over 1 year. RESULTS: Of the 428 242 adults included in this study, 59.7% were women, and 66.5% were White; the mean (SD) age was 52.3 (17.7) years. During the study period, 84.1% received 1 or more text messages (median, 4 messages; interquartile range, 2-8 messages) and 67.8% received 1 or more IVR messages (median, 3 messages; interquartile range, 1-6 messages). A total of 8929 individuals (2.5%) opted out of text messages, and 4392 (1.5%) opted out of IVR messages. In multivariable analyses, individuals who received 10 to 19.9 or 20 or more text messages per year had higher opt-out rates for text messages compared with those who received fewer than 2 messages per year (adjusted odds ratio [aOR]: 10-19.9 vs <2 messages, 1.27 [95% CI, 1.17-1.38]; ≥20 vs <2 messages, 3.58 [95% CI, 3.28-3.91]), whereas opt-out rates increased progressively in association with IVR message volume, with the highest rates among individuals who received 10.0 to 19.9 messages (aOR, 11.11; 95% CI, 9.43-13.08) or 20.0 messages or more (aOR, 49.84; 95% CI, 42.33-58.70). Individuals opting out of text messages were more likely to opt out of IVR messages (aOR, 4.07; 95% CI, 3.65-4.55), and those opting out of IVR messages were more likely to opt out of text messages (aOR, 5.92; 95% CI, 5.29-6.61). CONCLUSIONS AND RELEVANCE: In this cohort study among adult members of an integrated health care system, requests to discontinue messages were associated with greater message volume. These findings suggest that, to preserve the benefits of automated outreach, health care systems should use these messages judiciously to reduce message fatigue. |
format | Online Article Text |
id | pubmed-7998073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-79980732021-04-19 Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System Steiner, John F. Zeng, Chan Comer, Angela C. Barrow, Jennifer C. Langer, Jonah N. Steffen, David A. Steiner, Claudia A. JAMA Netw Open Original Investigation IMPORTANCE: Health care systems deliver automated text or telephone messages to remind patients of appointments and to provide health information. Patients who receive multiple messages may demonstrate message fatigue by opting out of future messages. OBJECTIVE: To assess whether the volume of automated text or interactive voice response (IVR) telephone messages is associated with the likelihood of patients requesting to opt out of future messages. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was conducted at Kaiser Permanente Colorado (KPCO), an integrated health care system. All adult members who received 1 or more automated text or IVR message between October 1, 2018, and September 30, 2019, were included. EXPOSURES: Receipt of automated text or IVR messages. MAIN OUTCOMES AND MEASURES: Message volume and opt-out rates obtained from messaging systems over 1 year. RESULTS: Of the 428 242 adults included in this study, 59.7% were women, and 66.5% were White; the mean (SD) age was 52.3 (17.7) years. During the study period, 84.1% received 1 or more text messages (median, 4 messages; interquartile range, 2-8 messages) and 67.8% received 1 or more IVR messages (median, 3 messages; interquartile range, 1-6 messages). A total of 8929 individuals (2.5%) opted out of text messages, and 4392 (1.5%) opted out of IVR messages. In multivariable analyses, individuals who received 10 to 19.9 or 20 or more text messages per year had higher opt-out rates for text messages compared with those who received fewer than 2 messages per year (adjusted odds ratio [aOR]: 10-19.9 vs <2 messages, 1.27 [95% CI, 1.17-1.38]; ≥20 vs <2 messages, 3.58 [95% CI, 3.28-3.91]), whereas opt-out rates increased progressively in association with IVR message volume, with the highest rates among individuals who received 10.0 to 19.9 messages (aOR, 11.11; 95% CI, 9.43-13.08) or 20.0 messages or more (aOR, 49.84; 95% CI, 42.33-58.70). Individuals opting out of text messages were more likely to opt out of IVR messages (aOR, 4.07; 95% CI, 3.65-4.55), and those opting out of IVR messages were more likely to opt out of text messages (aOR, 5.92; 95% CI, 5.29-6.61). CONCLUSIONS AND RELEVANCE: In this cohort study among adult members of an integrated health care system, requests to discontinue messages were associated with greater message volume. These findings suggest that, to preserve the benefits of automated outreach, health care systems should use these messages judiciously to reduce message fatigue. American Medical Association 2021-03-26 /pmc/articles/PMC7998073/ /pubmed/33769509 http://dx.doi.org/10.1001/jamanetworkopen.2021.3479 Text en Copyright 2021 Steiner JF et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Steiner, John F. Zeng, Chan Comer, Angela C. Barrow, Jennifer C. Langer, Jonah N. Steffen, David A. Steiner, Claudia A. Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System |
title | Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System |
title_full | Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System |
title_fullStr | Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System |
title_full_unstemmed | Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System |
title_short | Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System |
title_sort | factors associated with opting out of automated text and telephone messages among adult members of an integrated health care system |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998073/ https://www.ncbi.nlm.nih.gov/pubmed/33769509 http://dx.doi.org/10.1001/jamanetworkopen.2021.3479 |
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