Automated tobacco assessment and cessation support for cancer patients.

BACKGROUND: Tobacco assessment and cessation support are not routinely included in cancer care. An automated tobacco assessment and cessation program was developed to increase the delivery of tobacco cessation support for cancer patients. METHODS: A structured tobacco assessment was incorporated into the electronic health record at Roswell Park Cancer Institute to identify tobacco use in cancer patients at diagnosis and during follow-up. All patients who reported tobacco use within the past 30 days were automatically referred to a dedicated cessation program that provided cessation counseling. Data were analyzed for referral accuracy and interest in cessation support. RESULTS: Between October 2010 and December 2012, 11,868 patients were screened for tobacco use, and 2765 were identified as tobacco users and were referred to the cessation service. In referred patients, 1381 of those patients received only a mailed invitation to contact the cessation service, and 1384 received a mailing as well as telephone contact attempts from the cessation service. In the 1126 (81.4%) patients contacted by telephone, 51 (4.5%) reported no tobacco use within the past 30 days, 35 (3.1%) were medically unable to participate, and 30 (2.7%) declined participation. Of the 1381 patients who received only a mailed invitation, 16 (1.2%) contacted the cessation program for assistance. Three questions at initial consult and follow-up generated over 98% of referrals. Tobacco assessment frequency every 4 weeks delayed referral in < 1% of patients. CONCLUSIONS: An automated electronic health record-based tobacco assessment and cessation referral program can identify substantial numbers of smokers who are receptive to enrollment in a cessation support service.

Tobacco Cessation May Improve Lung Cancer Patient Survival.

INTRODUCTION: This study characterizes tobacco cessation patterns and the association of cessation with survival among lung cancer patients at Roswell Park Cancer Institute: an NCI Designated Comprehensive Cancer Center. METHODS: Lung cancer patients presenting at this institution were screened with a standardized tobacco assessment, and those who had used tobacco within the past 30 days were automatically referred to a telephone-based cessation service. Demographic, clinical information, and self-reported tobacco use at last contact were obtained via electronic medical records and the Roswell Park Cancer Institute tumor registry for all lung cancer patients referred to the service between October 2010 and October 2012. Descriptive statistics and Cox proportional hazards models were used to assess whether tobacco cessation and other factors were associated with lung cancer survival through May 2014. RESULTS: Calls were attempted to 313 of 388 lung cancer patients referred to the cessation service. Eighty percent of patients (250 of 313) were successfully contacted and participated in at least one telephone-based cessation call; 40.8% (102 of 250) of persons contacted reported having quit at the last contact. After controlling for age, pack year history, sex, Eastern Cooperative Oncology Group performance status, time between diagnosis and last contact, tumor histology, and clinical stage, a statistically significant increase in survival was associated with quitting compared with continued tobacco use at last contact (HR = 1.79; 95% confidence interval: 1.14-2.82) with a median 9 month improvement in overall survival. CONCLUSIONS: Tobacco cessation among lung cancer patients after diagnosis may increase overall survival.

Five years after the Hawai'i smoke-free law: tourism and hospitality economic indicators appear unharmed.

Opponents of Hawai'i's smoke-free law argued that such a law would lead to a decrease in tourism. The purpose of this study is to determine if there is evidence of an adverse impact of Hawai'i's smoke-free law on tourism utilizing data obtained from Hawai'i's Department of Business, Economic Development & Tourism website for tourists from the United States. Descriptive statistics were reported before and after the law and linear regression was used to assess the relationship between the implementation of the law and changes in indicators of tourism while adjusting for underlying economic factors. The most pronounced fluctuations observed with all tourism indicators occurred around the time the US entered the recession (December 2007), with steady increases following the end of the US recession. While controlling for economic and seasonal trends, the presence of the smoke-free law was associated with an increase in arrivals (ß= 42847.9; 95% CI: 16303.3, 69392.5), accommodation employees (ß= 969.0; 95% CI: 351.1, 1586.8) and food services & beverage places employees (ß=3390.8; 95% CI: 2326.9, 4454.7). Fluctuations in tourism indicators are likely to be associated with greater economic forces, such as decreasing GDP and consumer confidence in the United States and greater global economic trends, rather than the smoke-free law.