Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Effect of an Evidence-based Inpatient Tobacco Dependence Treatment Service on 30-, 90-, and 180-Day Hospital Readmission Rates

Bibliographic Data

ID9102039
AuthorsKathleen B Cartmell (0000-0001-9324-1636, College of Nursing, corresponding author), Mary Dooley (0000-0003-4454-8732, College of Nursing, corresponding author), Martina Mueller (0000-0003-2041-5142, College of Nursing, corresponding author), Georges J Nahhas (0000-0001-8909-2228, Psychiatry and Behavioral Sciences), Clara E Dismuke (Center for Health Disparities), Graham W Warren (College of Nursing), Graham Warren (0000-0002-5163-1959, Medical University of South Carolina, corresponding author), Vince Talbot (TelASK Technologies Inc., Ottawa, Canada), K Michael Cummings (0000-0002-7103-7017, College of Nursing, corresponding author)
Year2018
Volume56
Issue4
Pages358-363
Publication date2018-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000884
PMID29401186
OpenAlexW2791177074
LanguageEN
Citations received2
References cited30

INTRODUCTION: Smoking is a risk factor for hospitalization and interferes with patient care due to its effects on pulmonary function, wound healing, and interference with treatments and medications. Although benefits of stopping smoking are well-established, few hospitals provide tobacco dependence treatment services (TDTS) due to cost, lack of mandatory tobacco cessation standards and lack of evidence demonstrating clinical and financial benefits to hospitals and insurers for providing services. METHODS: This study explored the effect of an inpatient TDTS on 30-, 90-, and 180-day hospital readmissions. To carry out this work, 3 secondary datasets were linked, which included clinical electronic health record data, tobacco cessation program data, and statewide health care utilization data. Odds ratios (ORs) were calculated using inverse propensity score-weighted logistic regression models, with program exposure as the primary independent variable and 30 (90 and 180)-day readmission rates as the dependent variable, and adjustment for putative covariates. RESULTS: Odds of readmission were compared for patients who did and did not receive TDTS. At 30 days postdischarge, smokers exposed to the TDTS had a lower odds of readmission (OR=0.77, P=0.031). At 90 and 180 days, odds of readmission remained lower in the TDTS group (ORs=0.87 and 0.86, respectively), but were not statistically significant. DISCUSSION: Findings from the current study, which are supported by prior studies, provide evidence that delivery of TDTS is a strategy that may help to reduce hospital readmissions

Logistic regression · Odds · Odds ratio · Propensity score matching · Smoking cessation · Chronic Disease Management Strategies · Chronic Obstructive Pulmonary Disease (COPD) Research · Emergency Medicine · Internal Medicine · Medicine · Smoking Behavior and Cessation

  • Primary care-based smoking cessation treatment and subsequent healthcare service utilisation

    Open Access•Dolly Baliunas, Peter Selby et al.•Tobacco Control•2021

  • Effect of an Evidence-based Inpatient Tobacco Dependence Treatment Service on 1-Year Postdischarge Health Care Costs

    Open Access•Kathleen B Cartmell, Clara E Dismuke et al.•Medical Care•2018

  • Mortality in relation to smoking

    Open Access•Richard Doll, Richard Peto et al.•BMJ•1994

  • A new method of classifying prognostic comorbidity in longitudinal studies

    Open Access•Mary E Charlson, Peter Pompei et al.•Journal of Chronic Diseases•1987

  • Effectiveness of a hospital-initiated smoking cessation programme

    Open Access•Kerri A Mullen, Douglas G Manuel et al.•Tobacco Control•2016

  • Efficacy of Initiating Tobacco Dependence Treatment in Inpatient Psychiatry

    Judith J Prochaska, Stephen E Hall et al.•American Journal of Public Health•2014

Unique citing works2
Citations per year0,25
Citation span2018 - 2021 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae