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1.
Cancer Prev Res (Phila) ; 17(5): 197-199, 2024 May 02.
Article in English | MEDLINE | ID: mdl-38693901

ABSTRACT

Increasingly, research demonstrates economic benefits of tobacco cessation in cancer care, as seen in a new study by Kypriotakis and colleagues of the MD Anderson cessation program, demonstrating median health care cost savings of $1,095 per patient over 3 months. While the cost-effectiveness of tobacco cessation programs from a hospital perspective is important, implementation decisions in a predominantly fee-for-service system, such as in the United States, too often insufficiently value this outcome. Economic barriers, stakeholder disincentives, and payment models all impact program implementation. Combining economic evaluation with implementation research, including assessment of return-on-investment, may enhance sustainability and inform decision-making in cancer care settings. See related article by Kypriotakis et al., p. 217.


Subject(s)
Cost-Benefit Analysis , Neoplasms , Tobacco Use Cessation , Humans , Neoplasms/economics , Neoplasms/therapy , Neoplasms/prevention & control , Tobacco Use Cessation/economics , Tobacco Use Cessation/methods , United States , Health Care Costs/statistics & numerical data
3.
Nicotine Tob Res ; 25(2): 345-349, 2023 01 05.
Article in English | MEDLINE | ID: mdl-35778237

ABSTRACT

INTRODUCTION: The COVID-19 pandemic disrupted cancer screening and treatment delivery, but COVID-19's impact on tobacco cessation treatment for cancer patients who smoke has not been widely explored. AIMS AND METHODS: We conducted a sequential cross-sectional analysis of data collected from 34 National Cancer Institute (NCI)-designated cancer centers participating in NCI's Cancer Center Cessation Initiative (C3I), across three reporting periods: one prior to COVID-19 (January-June 2019) and two during the pandemic (January-June 2020, January-June 2021). Using McNemar's Test of Homogeneity, we assessed changes in services offered and implementation activities over time. RESULTS: The proportion of centers offering remote treatment services increased each year for Quitline referrals (56%, 68%, and 91%; p = .000), telephone counseling (59%, 79%, and 94%; p = .002), and referrals to Smokefree TXT (27%, 47%, and 56%; p = .006). Centers offering video-based counseling increased from 2020 to 2021 (18% to 59%; p = .006), Fewer than 10% of centers reported laying off tobacco treatment staff. Compared to early 2020, in 2021 C3I centers reported improvements in their ability to maintain staff and clinician morale, refer to external treatment services, train providers to deliver tobacco treatment, and modify clinical workflows. CONCLUSIONS: The COVID-19 pandemic necessitated a rapid transition to new telehealth program delivery of tobacco treatment for patients with cancer. C3I cancer centers adjusted rapidly to challenges presented by the pandemic, with improvements reported in staff morale and ability to train providers, refer patients to tobacco treatment, and modify clinical workflows. These factors enabled C3I centers to sustain evidence-based tobacco treatment implementation during and beyond the COVID-19 pandemic. IMPLICATIONS: This work describes how NCI-designated cancer centers participating in the Cancer Center Cessation Initiative (C3I) adapted to challenges to sustain evidence-based tobacco use treatment programs during the COVID-19 pandemic. This work offers a model for resilience and rapid transition to remote tobacco treatment services delivery and proposes a policy and research agenda for telehealth services as an approach to sustaining evidence-based tobacco treatment programs.


Subject(s)
COVID-19 , Neoplasms , Smoking Cessation , United States/epidemiology , Humans , Nicotiana , Pandemics , National Cancer Institute (U.S.) , Cross-Sectional Studies , COVID-19/epidemiology , Neoplasms/epidemiology , Neoplasms/therapy
5.
PLoS One ; 17(9): e0274571, 2022.
Article in English | MEDLINE | ID: mdl-36170336

ABSTRACT

MAIN OBJECTIVE: There is limited information on how patient outcomes have changed during the COVID-19 pandemic. This study characterizes changes in mortality, intubation, and ICU admission rates during the first 20 months of the pandemic. STUDY DESIGN AND METHODS: University of Wisconsin researchers collected and harmonized electronic health record data from 1.1 million COVID-19 patients across 21 United States health systems from February 2020 through September 2021. The analysis comprised data from 104,590 adult hospitalized COVID-19 patients. Inclusion criteria for the analysis were: (1) age 18 years or older; (2) COVID-19 ICD-10 diagnosis during hospitalization and/or a positive COVID-19 PCR test in a 14-day window (+/- 7 days of hospital admission); and (3) health system contact prior to COVID-19 hospitalization. Outcomes assessed were: (1) mortality (primary), (2) endotracheal intubation, and (3) ICU admission. RESULTS AND SIGNIFICANCE: The 104,590 hospitalized participants had a mean age of 61.7 years and were 50.4% female, 24% Black, and 56.8% White. Overall risk-standardized mortality (adjusted for age, sex, race, ethnicity, body mass index, insurance status and medical comorbidities) declined from 16% of hospitalized COVID-19 patients (95% CI: 16% to 17%) early in the pandemic (February-April 2020) to 9% (CI: 9% to 10%) later (July-September 2021). Among subpopulations, males (vs. females), those on Medicare (vs. those on commercial insurance), the severely obese (vs. normal weight), and those aged 60 and older (vs. younger individuals) had especially high mortality rates both early and late in the pandemic. ICU admission and intubation rates also declined across these 20 months. CONCLUSIONS: Mortality, intubation, and ICU admission rates improved markedly over the first 20 months of the pandemic among adult hospitalized COVID-19 patients although gains varied by subpopulation. These data provide important information on the course of COVID-19 and identify hospitalized patient groups at heightened risk for negative outcomes. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04506528 (https://clinicaltrials.gov/ct2/show/NCT04506528).


Subject(s)
COVID-19 , Intensive Care Units , Adult , Aged , COVID-19/mortality , COVID-19/therapy , Female , Hospital Mortality , Hospitalization , Humans , Intubation, Intratracheal , Male , Medicare , Middle Aged , Pandemics , United States/epidemiology
6.
Nicotine Tob Res ; 24(6): 904-908, 2022 04 28.
Article in English | MEDLINE | ID: mdl-35038749

ABSTRACT

INTRODUCTION: While strong associations exist between social determinants of health (SDOH), socioeconomic status, and smoking, these factors are not routinely assessed in tobacco treatment programs (TTP). This study addresses this gap by evaluating a composite metric of SDOH and a measure of access to care to determine program reach before and after the implementation of telehealth tobacco treatment delivery. AIMS AND METHODS: We examined inpatient data from a large TTP during two comparable time periods from April 1, 2019 to September 30, 2019 (pre-telehealth) and from April 1, 2020 to September 30, 2020 (telehealth). The populations were compared using point-of-care data, including 5-digit zip codes mapped to the CDC's Social Vulnerability Index (SVI) and driving distance (in 60-min increments) to the study hospital. Chi-square tests for homogeneity were performed for SVI and driving distance comparisons. RESULTS: While distance distributions were significantly different between the pre-telehealth and telehealth populations (χ 2 = 13.5 (df = 3, N = 3234), p = .004, no significant differences existed in the proportion of SVI categories between the two populations (χ 2 = 5.8 (df = 3, N = 3234), p = .12). In the telehealth population, patients with the highest SVI vulnerability had the greatest proportions living >1 h from the hospital. CONCLUSIONS: This study offers a novel evaluation of tobacco treatment in relation to an SDOH metric (SVI) and care access (distance to the hospital) for inpatient populations. Patient reach, including to those with high vulnerabilities, remained consistent in a transition to telehealth. These methods can inform future reach and engagement of patients who use tobacco products, including patients with high vulnerability or who reside at greater distances from treatment programs. IMPLICATIONS: This study provides the first analysis of inpatient tobacco use treatment (TUT) transition to telehealth delivery of care during the COVID-19 pandemic using the CDC's SVI metric and patient distance to the hospital. The transition resulted in consistent reach to patients at the highest vulnerability. These findings can inform efforts to evaluate SDOH measures and improve reach, engagement, and research on telehealth delivery of inpatient TUT.


Subject(s)
COVID-19 , Telemedicine , Tobacco Products , Humans , Pandemics , Social Determinants of Health , Telemedicine/methods , Nicotiana , Tobacco Use
7.
Nicotine Tob Res ; 24(5): 794-798, 2022 03 26.
Article in English | MEDLINE | ID: mdl-34929731

ABSTRACT

INTRODUCTION: During the COVID-19 pandemic, many tobacco users increased their tobacco use, and calls to quitlines decreased. Among inpatients, the pandemic also necessitated a rapid transition of intensive tobacco use counseling to telehealth counseling. No data exist comparing the outcomes of telehealth inpatient counseling with in-person (pre-telehealth) counseling. AIMS AND METHODS: We examined inpatient data from a large tobacco treatment program (TTP) during two comparable time periods 04/01/2019-09/30/2019 (pre-telehealth) and 04/01/2020-09/30/2020 (telehealth). The pre-telehealth and telehealth populations were compared using Pearson's chi-square test for homogeneity on each populations' patient, visit, and medication acceptance characteristics. Reach to "current tobacco users" was analyzed using TTP flowsheet and electronic health record (EHR) data in relation to aggregate EHR data in the data warehouse. RESULTS: Mean monthly tobacco treatment inpatient counseling and outreach visits increased 38.9% in the telehealth period (M = 376, SD = 36.7) compared with the pre-telehealth period (M = 271, SD = 50.0) (t(10) = 3.8, p = .004). Reach significantly increased from 32.8% to 65.9% among all "current tobacco users" admitted, including 31.8% to 66.6% in races at higher risk for COVID-19 severe disease. Pearson's chi-square tests for homogeneity showed significant differences in the pre-telehealth and telehealth population distributions for age, visit type, ethnicity, and medication acceptance. CONCLUSIONS: This study offers the first understanding of characteristics of patients, visits, and medication acceptances in pre-telehealth and telehealth tobacco use treatment for inpatient populations. Larger reach and counseling were identified in the telehealth population. This study's findings on inpatient tobacco use treatment can inform future reach and engagement of large numbers of patients who use tobacco products. IMPLICATIONS: This study provides the first analysis of inpatient tobacco use treatment transition to telehealth delivery of care during the COVID-19 pandemic. The transition resulted in increases in reach and cessation counseling. These findings can inform efforts to improve reach, engagement, and research on telehealth delivery of inpatient tobacco use treatment.


Subject(s)
COVID-19 , Telemedicine , COVID-19/epidemiology , Humans , Inpatients , Pandemics , Tobacco Use
8.
Trials ; 22(1): 810, 2021 Nov 16.
Article in English | MEDLINE | ID: mdl-34784953

ABSTRACT

BACKGROUND: Unhealthy alcohol use is a leading cause of preventable deaths in the USA and is associated with many societal and health problems. Less than a third of people who visit primary care providers in the USA are asked about or ever discuss alcohol use with a health professional. METHODS/DESIGN: This study is an adaptive, randomized, controlled trial to evaluate the effect of primary care practice facilitation and telehealth services on evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use in small-to-medium-sized primary care practices. Study participants will include primary care practices in North Carolina with 10 or fewer providers. All enrolled practices will receive a practice facilitation intervention that includes quality improvement (QI) coaching, electronic health record (EHR) support, training, and expert consultation. After 6 months, practices in the lower 50th percentile (based on performance) will be randomized to continued practice facilitation or provision of telehealth services plus ongoing facilitation for the next 6 months. Practices in the upper 50th percentile after the initial 6 months of intervention will continue to receive practice facilitation alone. The main outcome measures include the number (and %) of patients in the target population who are screened for unhealthy alcohol use, screen positive, and receive brief counseling. Additional measures include the number (and %) of patients who receive pharmacotherapy for AUD or are referred for AUD services. Sample size calculations determined that 35 practices are needed to detect a 10% increase in the main outcome (percent screened for unhealthy alcohol use) over 6 months. DISCUSSION: A successful intervention would significantly reduce morbidity among adults from unhealthy alcohol use by increasing counseling and other treatment opportunities. The study will produce important evidence about the effect of practice facilitation on uptake of evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use when delivered on a large scale to small and medium-sized practices. It will also generate scientific knowledge about whether embedded telehealth services can improve the use of evidence-based screening and interventions for practices with slower uptake. The results of this rigorously conducted evaluation are expected to have a positive impact by accelerating the dissemination and implementation of evidence related to unhealthy alcohol use into primary care practices. TRIAL REGISTRATION: ClinicalTrials.gov NCT04317989 . Registered on March 23, 2020.


Subject(s)
Alcohol Drinking , Primary Health Care , Adult , Alcohol Drinking/adverse effects , Alcohol Drinking/therapy , Counseling , Humans , Mass Screening , Quality Improvement , Randomized Controlled Trials as Topic
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