Evidence map›Paper›PMID 39196628›Full record

ArticleJournal of medical Internet research2024

Expectations and Preferences for Digital Cessation Treatment: Multimethods Study Among Older Adults Who Smoke Cigarettes.

Margaret C Fahey, Mathew J Carpenter, Riley O'Neal, Kinsey Pebley, Melissa R Schick, Emily Ware, Benjamin A Toll, Jennifer Dahne

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Margaret C FaheyDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-8672-8785
Mathew J CarpenterDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-8909-1302
Riley O'NealSchool of Arts & Sciences, University of South Carolina, Columbia, SC, United States.ORCID 0009-0009-2591-0899
Kinsey PebleyHollings Cancer Center, Charleston, SC, United States.ORCID 0000-0002-7497-6247
Melissa R SchickSchool of Medicine, Yale University, New Haven, CT, United States.ORCID 0000-0003-0689-6672
Emily WareHollings Cancer Center, Charleston, SC, United States.ORCID 0000-0002-1849-7401
Benjamin A TollDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0001-7978-8416
Jennifer DahneDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0001-7297-9420

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Research Training Program in Substance Use PreventionT32DA019426 · NIDA · YALE UNIVERSITY · PI TAMI P SULLIVAN · 2005 to 2026
$7.5M
Development and Testing of a Depression-Specific Behavioral Activation Mobile App Paired with Nicotine Replacement Therapy Sampling for Smoking Cessation Treatment Via Primary CareK23DA045766 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DAHNE, JENNIFER RENEE · 2018 to 2022
$1.0M
NCATS NIH HHS UL1 TR001450NCATS NIH HHS UL1 TR001863NIDA NIH HHS K23 DA045766NIDA NIH HHS T32 DA019426
6 · The paper itself

Abstract

backgroundTo address enduring age-related tobacco disparities, it is critical to promote cessation treatment among older adults (aged 65+ years). Digital health platforms offer opportunities for wide dissemination of evidence-based behavioral cessation support. However, existing digital cessation treatments are not tailored to unique aging-related needs and preferences, resulting in low uptake. Detailed information is needed about how to best adapt these treatments for this age group.

objectiveWe aimed to collect detailed, hypothesis-generating information about expectations and preferences for cessation digital treatment among older adults who smoke cigarettes.

methodsSemistructured interviews were conducted with adults aged 65+ years currently smoking or who had quit within the past month. Interviews included open-ended questions regarding prior experiences with digital health platforms and expectations and preferences for cessation treatment via various modalities (app-delivered, texting-based, or videoconferencing counseling). Interviews also elicited questions regarding digital modalities that integrated social components (app-delivered social forums and group videoconferencing counseling). Using an iterative, team-based approach, the thematic analysis identified meaningful themes. Interviews were supplemented with quantitative measures assessing sociodemographics, digital literacy, and physical health symptoms.

resultsParticipants (12/20, 60% men; 15/20, 75% White; 4/20, 20% Black or African American; 1/20, 5% Asian) were currently smoking (17/20, 85%) or had recently quit (3/20, 15%). Thematic analysis identified 3 meaningful themes across all digital modalities: convenience, accessibility, and personalization. Expected benefits of digital platforms included convenient treatment access, without reliance on transportation. Participants preferred treatments to be personalized and deliver content or strategies beyond standard education. Most (17/20, 85%) were unfamiliar with cessation apps but found them appealing given the potential for offering a novel quitting strategy. App ease of use (eg, easy navigation) was preferred. Half (10/20, 50%) would try a texting-based intervention, with many preferring texting with a counselor rather than automated messaging. Most (17/20, 85%) would use videoconferencing and expected this modality to deliver better quality counseling than via telephone. Expected videoconferencing challenges included looking presentable onscreen, technological difficulties, and privacy or security. Videoconferencing was regarded as the most personalized digital treatment, yet benefits unique to app-delivered and texting-based treatments included anonymity and access to treatment 24/7. Participants expected integrating social components into digital treatment to be useful for quit success and social connection, yet were concerned about possible interpersonal challenges.

conclusionsBecause a long history of quit attempts and familiarity with standard quitting advice is common among older adults who smoke cigarettes, digital platforms might offer appealing and novel strategies for cessation that are accessible and convenient. Overall, this population was open to trying digital cessation treatments and would prefer that these platforms prioritize ease of use and personalized content. These findings challenge the bias that older adults are uninterested or unwilling to engage with digital treatments for behavioral health.

Indexed as

Smoking CessationAgedAged, 80 and overCounselingFemaleHumansMalePatient PreferenceTelemedicineVideoconferencingadultsageingagingbehavioral healthcigarettecigarettesdigital cessationdigital cessation treatmentdigital healthelderelderlymobile phoneolder adultsolder peopleolder personpublic healthquestionnairequitquittingsmokesmokingsmoking cessationtelehealthtobaccotreatmenttreatments

Identifiers

PMID39196628
PMCPMC11391153

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.