| Literature DB >> 22853047 |
Kimber P Richter1, Babalola Faseru, Laura M Mussulman, Edward F Ellerbeck, Theresa I Shireman, Jamie J Hunt, Beatriz H Carlini, Kristopher J Preacher, Candace L Ayars, David J Cook.
Abstract
BACKGROUND: Post-discharge support is a key component of effective treatment for hospitalized smokers, but few hospitals provide it. Many hospitals and care settings fax-refer smokers to quitlines for follow-up; however, less than half of fax-referred smokers are successfully contacted and enrolled in quitline services. "Warm handoff" is a novel approach to care transitions in which health care providers directly link patients with substance abuse problems with specialists, using face-to-face or phone transfer. Warm handoff achieves very high rates of treatment enrollment for these vulnerable groups.Entities:
Mesh:
Year: 2012 PMID: 22853047 PMCID: PMC3495904 DOI: 10.1186/1745-6215-13-127
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Eligibility criteria
| · | Current smoker (within the past 30 days) |
| · | Aged 18 years or older |
| · | Lives in Kansas |
| · | Wishes to remain abstinent from tobacco post-discharge |
| · | Plans to remain a resident of Kansas post-discharge |
| · | Speaks English or Spanish |
| · | No significant co-morbidity or issue that would prevent participation |
| | (e.g., acute life-threatening medical illness, communication barriers, |
| | altered mental status, etc.) as determined by hospital or research staff |
| · | Has access to a telephone post-discharge |
| · | Does not have another household member participating in this study |
| · | Is not currently pregnant |
Study hypotheses, measures, and analytic strategies
| Treatment condition and | Logistic regression | |
| Hypothesis 1 | · Enrollment in quitline by 6 months | |
| Test the effects of warm handoff on quitline enrollment | | |
| Hypothesis 2 | Treatment condition and | Logistic regression |
| Test the effects of warm handoff on post-discharge guideline-based counseling adherence | · Completing at least 3 quitline counseling sessions (binary) | |
| Hypothesis 3 | Treatment condition and | Logistic regression |
| Test the effects of warm handoff on 6-month abstinence outcomes | · 30-day abstinence | |
| · 7-day abstinence | ||
| · Prolonged abstinence | ||
| Treatment condition and 1-month | Combined Poisson and logistic structural equation modeling | |
| Hypothesis 4 | · Satisfaction with care transition | |
| Effect of warm handoff on care transitions, enrollment, adherence, and pharmacotherapy utilization | · Enrollment in quitline | |
| · No. of quitline sessions completed | ||
| · Pharmacotherapy use | ||
| Treatment condition and: | -Average cost/arm | |
| Hypothesis 5 | · 30-day abstinence | -Incremental cost/quit |
| Warm handoff will be more costly, but also more cost-effective, than fax referrals | · Fixed/Variable costs | |
| · Provider costs | -Providers | |
| · Participant costs | -Participants | |
| | -Combined | |
| Semistructured interviews | Qualitative analysis |
In-patient treatment, warm handoff versus fax
| · Assess withdrawal, need for medication change | · Assess withdrawal, need for medication change |
| · Describe warm handoff process | · Conduct assessment of smoking history, interest in quitting |
| · Provide cessation brochure | · Explore thoughts/feelings toward quitting |
| · Perform call, leave room | · Provide cessation brochure |
| · Notify patients’ nurse that patient is talking to quitline | · Provide medication education |
| · Build plan to stay quit | |
| · Collect minimum data set | · Describe fax referral process |
| · Explore thoughts/feelings toward quitting | · Ask if patient requests cessation medication script on discharge |
| · Provide medication education | |
| · Build plan to stay quit | |
| · Schedule next call | |
| · Ask patient how session went | |
| · Ask if patient requests cessation medication script on discharge |
Study measures by assessment time point*
| | | | | |
| 30-day point prevalence | | ✓ | ✓ | ✓ |
| 7-day point prevalence | | ✓ | ✓ | ✓ |
| Salivary cotinine | | | ✓ | |
| Prolonged abstinence | | ✓ | ✓ | ✓ |
| Time to relapse | | ✓ | ✓ | ✓ |
| Quit date | ✓ | | | |
| Cigarette use in past 30 days | ✓ | | | |
| No. days smoked in past 30 days | ✓ | | | |
| Age started using tobacco | ✓ | | | |
| No. of quit attempts | | ✓ | ✓ | ✓ |
| No. of cigarettes smoked per day | ✓ | ✓ | ✓ | ✓ |
| Medications used to quit | | ✓ | ✓ | ✓ |
| Resources used to quit | | ✓ | ✓ | ✓ |
| Other forms of tobacco, no. of days used | ✓ | ✓ | ✓ | ✓ |
| E-cigarette use | | ✓ | ✓ | ✓ |
| Smoking during hospitalization | | ✓ | | |
| Other tobacco during hospitalization | | ✓ | | |
| Time to first cigarette | ✓ | | | |
| Around tobacco users at home/work | ✓ | | | |
| Home smoking restrictions | ✓ | | | |
| Other household smokers | ✓ | | | |
| Stages of change | ✓ | | | |
| Readiness to quit | ✓ | | | |
| Enrolled in quitline | | | ✓ | |
| No. quitline calls completed | | | ✓ | |
| Length of quitline calls | | | ✓ | |
| Body mass index | ✓ | | | |
| Co-morbidities | ✓ | | | |
| Health insurance | ✓ | | | |
| Prescription drug coverage | ✓ | | | |
| Length of stay (admit/discharge time/date) | ✓ | | | |
| Discharge diagnoses (primary/secondary) | ✓ | | | |
| Procedure codes, diagnosis-related group (DRG) | ✓ | | | |
| Discharge plan | ✓ | | | |
| Admit via emergency, admitting hospital service | ✓ | | | |
| Transitions in tobacco care | | ✓ | | |
| Hospitalization/access to care** | ✓ | ✓ | ✓ | ✓ |
| Patient Health Questionnaire (PHQ)-2 | ✓ | ✓ | ✓ | ✓ |
| AUDIT-C*** | ✓ | | | |
| Race, ethnicity, age, sex, education | ✓ | | | |
| Marital status, income, employment | ✓ | |||
*Excluding cost-effectiveness measures.
**From the National Health And Nutrition Examination Survey (N-HANES).
*** Alcohol Use Disorders Identification Test, version C.