| Title |
Interactive Voice Response Calls to Promote Smoking Cessation after Hospital Discharge: Pooled Analysis of Two Randomized Clinical Trials
|
|---|---|
| Published in |
Journal of General Internal Medicine, June 2017
|
| DOI | 10.1007/s11606-017-4085-z |
| Pubmed ID | |
| Authors |
Nancy A. Rigotti, Yuchiao Chang, Lisa C. Rosenfeld, Sandra J. Japuntich, Elyse R. Park, Hilary A. Tindle, Douglas E. Levy, Zachary Z. Reid, Joanna Streck, Timothy Gomperts, Jennifer H. K. Kelley, Daniel E. Singer |
| Abstract |
Hospitalization offers smokers an opportunity to quit smoking. Starting cessation treatment in hospital is effective, but sustaining treatment after discharge is a challenge. Automated telephone calls with interactive voice response (IVR) technology could support treatment continuance after discharge. To assess smokers' use of and satisfaction with an IVR-facilitated intervention and to test the relationship between intervention dose and smoking cessation. Analysis of pooled quantitative and qualitative data from the intervention groups of two similar randomized controlled trials with 6-month follow-up. A total of 878 smokers admitted to three hospitals. All received cessation counseling in hospital and planned to stop smoking after discharge. After discharge, participants received free cessation medication and five automated IVR calls over 3 months. Calls delivered messages promoting smoking cessation and medication adherence, offered medication refills, and triaged smokers to additional telephone counseling. Number of IVR calls answered, patient satisfaction, biochemically validated tobacco abstinence 6 months after discharge. Participants answered a median of three of five IVR calls; 70% rated the calls as helpful, citing the social support, access to counseling and medication, and reminders to quit as positive factors. Older smokers (OR 1.36, 95% CI 1.20-1.54 per decade) and smokers hospitalized for a smoking-related disease (OR 1.65, 95% CI 1.21-2.23) completed more calls. Smokers who completed more calls had higher quit rates at 6-month follow-up (OR 1.49, 95% CI 1.30-1.70, for each additional call) after multivariable adjustment for age, sex, education, discharge diagnosis, nicotine dependence, duration of medication use, and perceived importance of and confidence in quitting. Automated IVR calls to support smoking cessation after hospital discharge were viewed favorably by patients. Higher IVR utilization was associated with higher odds of tobacco abstinence at 6-month follow-up. IVR technology offers health care systems a potentially scalable means of sustaining tobacco cessation interventions after hospital discharge. ClinicalTrials.gov Identifiers NCT01177176, NCT01714323. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 67% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 13% |
| Researcher | 10 | 9% |
| Student > Ph. D. Student | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 15 | 14% |
| Unknown | 46 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 15 | 14% |
| Medicine and Dentistry | 15 | 14% |
| Psychology | 8 | 7% |
| Agricultural and Biological Sciences | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 13 | 12% |
| Unknown | 51 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 December 2018.
All research outputs
#5,523,274
of 25,649,244 outputs
Outputs from Journal of General Internal Medicine
#3,275
of 8,232 outputs
Outputs of similar age
#88,837
of 332,532 outputs
Outputs of similar age from Journal of General Internal Medicine
#25
of 75 outputs
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We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.