Digital Skills, STEM Occupation, and Job Automation Risks Among the Older Workers in the United States.

BACKGROUND AND OBJECTIVES: Advancing automation technologies are replacing certain occupations such as those involving simple food preparation more than occupations such as those in STEM fields (e.g., engineering and health care). Older workers generally face higher job automation risks in part due to their lower levels of digital skills. A better understanding of the associations between job automation risk, digital skills, and type of occupation (e.g., STEM vs non-STEM) can facilitate preparations for job automation and workforce population aging. RESEARCH DESIGN AND METHODS: We analyzed a nationally representative sample (N = 1,560) of middle-aged and older U.S. workers aged 50-74 years from the 2012/2014/2017 Program for International Assessment of Adult Competencies (PIAAC) restricted-use file. The estimated job automation risks (i.e., percentage of jobs to be automated in the next decades) were derived from the previous studies. PIAAC digital problem-solving skills proficiency (measured on a scale of 0-500 points) was assessed based on a series of practical digital tasks (e.g., finding a job research website that does not require registration). RESULTS: Linear regression analysis showed that greater digital skill proficiency (b = -0.04, p < .05) and STEM occupations (b = -17.78, p < .001) each were associated with lower job automation risks, even after adjusting for a series of demographic, socioeconomic, and civic engagement characteristics. DISCUSSION AND IMPLICATIONS: Education and labor policy interventions to promote digital skills among older workers and non-STEM workers may better prepare an aging workforce for the dynamic labor market needs in the United States.

Evaluation Design for the Department of the Air Force's True North Program: Development of a Logic Model and Program Measures.

Developing strong resiliency and care solutions for airmen and guardians is key to human capital development and force readiness. The True North program is one of the Department of the Air Force's (DAF's) most significant recent investments in promoting the resiliency of its people. Assessing the program's level of success, justifying funding, and informing decisions about the program's future will require a rigorous evaluation. The authors of this study (1) identify desired outcomes for members participating in the program, (2) define appropriate measures of effectiveness that could be used in evaluating the True North program, and (3) make recommendations for ongoing internal evaluation of the program. The True North program encompasses selected installation welcome centers, embedded religious support teams (RSTs), and embedded mental health (EMH) teams. To determine how DAF might evaluate this program and its components, the authors reviewed relevant policies and procedures and literature relevant to the program components and conducted interviews with 17 True North program personnel and 21 group and squadron commanders. They present a program logic model to determine potential evaluation measures.

Reliance on Social Networks and Health Professionals for Health Information in the U.S. Adult Population.

The subpopulation of adults depends on non-online health information sources including their social networks and health professionals, to the exclusion of online sources. In view of the digital divide and health information disparities, the roles of race/ethnicity and digital skills are yet to be explored. A nationally representative sample of 6,830 adults from the Program for the International Assessment of Adult Competencies (PIAAC) was analyzed, using binary logistic regression. Black adults and adults with higher digital skills were less likely to be reliant on non-online health information sources, compared to White adults and those with lower digital skills, respectively. Differences in non-online health information source reliance by race/ethnicity and digital skills might be further nuanced by the relevant demographic and socioeconomic characteristics. Increasing digital skills may expand one's health information sources to include reliable online sources and empower adults to promote their health.

Change in amount smoked and readiness to quit among patients undergoing lung cancer screening.

BACKGROUND: There is mixed evidence regarding whether undergoing computed tomography lung cancer screening (LCS) can serve as a "teachable moment" that impacts smoking behavior and attitudes. The study aim was to assess whether the standard procedures of undergoing LCS and receiving free and low-cost evidence-based cessation resources impacted short-term smoking-related outcomes. METHODS: Participants were smokers (N=87) who were registered to undergo lung screening and were enrolled in a cessation intervention trial. We conducted two phone interviews, both preceding trial randomization: the first interview was conducted prior to lung screening, and the second interview followed lung screening (median =12.5 days post-screening) and participants' receipt of their screening results. The interviews assessed demographic characteristics, interest in evidence-based cessation intervention methods, and tobacco-related characteristics, including cigarettes per day and readiness to quit. Participants received minimal evidence-based cessation resources following the pre-lung screening interview. RESULTS: Participants were 60.3 years old, 56.3% female, and reported a median of 40 pack-years. Participants were interested in using several evidence-based strategies, including counseling from a healthcare provider (76.7%) and receiving nicotine replacement therapy (69.8%). Pre-lung screening, 25.3% smoked ≤10 cigarettes per day, and 29.9% were ready to quit in the next 30 days. We conducted two McNemar binomial distribution tests to assess change from pre- to post-screening. At the post-lung screening assessment, approximately three-quarters reported no change on these variables. However, 23.3% reported smoking fewer cigarettes per day, whereas 4.7% reported smoking more cigarettes per day (McNemar P=0.002), and 17.2% reported increased readiness to quit, whereas 6.9% reported decreased readiness to quit (McNemar P=0.078). CONCLUSIONS: Following receipt of cessation resources and completion of lung screening, most participants reported no change in smoking outcomes. However, there was a significant reduction in cigarettes per day, and there was a trend for increased readiness to quit. This setting may provide a potential "teachable moment" and an opportunity to assist smokers with quitting. However, more proactive and intensive interventions will be necessary to capitalize on these changes and to support abstinence in the long-term.

Development of a Hematology-Oncology Advanced Practice Provider Fellowship Program.

New graduate advanced practice providers (APPs) who accept jobs within the hematology-oncology field face many challenges when beginning their careers. Specific challenges include a lack of specialty-specific training, expedited orientation periods, and a large patient volume. These challenges can lead to dissatisfaction within the role, unsafe patient care, and ultimately costly job turnover. In order to better prepare APPs for the specialty workforce, the hematology-oncology fellowship program at Levine Cancer Institute has worked to develop and cultivate a comprehensive curriculum to meet the many needs identified. The hematology-oncology APP fellowship program is a 12-month curriculum that includes both didactic as well as clinical requirements. The fellowship program provides guidance in a structured practice setting and has ultimately offered APPs the opportunity to successfully transition into their specialty care role.

A Phase Ib/II Study of Ganetespib With Doxorubicin in Advanced Solid Tumors Including Relapsed-Refractory Small Cell Lung Cancer.

INTRODUCTION: Small cell lung cancer (SCLC) accounts for 15% of all lung cancers and is characterized by high response rates to cytotoxic chemotherapy and equally high rates of relapse. Many resistance mechanisms have been proposed including resistance to doxorubicin via induction of a heat shock response. Ganetespib is a novel and potent non-geldanamycin heat shock protein 90 (Hsp90) inhibitor. In preclinical studies, synergy between ganetespib and doxorubicin was shown. We conducted a phase Ib/II study of the safety, tolerability, and preliminary efficacy of the combination of ganetespib and doxorubicin. METHODS: Patients eligible for the phase Ib portion had advanced tumors that would be appropriate for doxorubicin therapy and those in the phase II portion had relapsed or refractory SCLC. All patients had an ECOG performance status, 0-1 and adequate organ function, including a cardiac ejection fraction ≥50%. Patients who received a lifetime cumulative doxorubicin dose of >150 mg/m2 or who had symptomatic brain metastases were excluded. Patients received ganetespib on Days 1 and 8 and doxorubicin 50 mg/m2 on day 1 in 21-day cycles. RESULTS: Eleven patients were enrolled including nine in the phase Ib dose escalation and two in the phase II expansion. The study was terminated by the sponsor. The dose recommended for future study is ganetespib 150 mg/m2 in combination with doxorubicin at a dose of 50 mg/m2. The most common adverse events of the combination were grade 1/2 diarrhea, nausea, fatigue, and transaminitis. No dose limiting toxicities were observed. Response rate was 25% and median duration of response was 137 days. CONCLUSION: Ganetespib plus doxorubicin was a well-tolerated combination and there remains potential for the clinical development of Hsp90 inhibitors in SCLC. CLINICAL TRIAL REGISTRATION: https://ClinicalTrials.gov/ct2/show/NCT02261805, identifier NCT02261805.

Preliminary evaluation of a telephone-based smoking cessation intervention in the lung cancer screening setting: A randomized clinical trial.

Incorporating effective smoking cessation interventions into lung cancer screening (LCS) programs will be essential to realizing the full benefit of screening. We conducted a pilot randomized trial to determine the feasibility and efficacy of a telephone-counseling (TC) smoking cessation intervention vs. usual care (UC) in the LCS setting. In collaboration with 3 geographically diverse LCS programs, we enrolled current smokers (61.5% participation rate) who were: registered to undergo LCS, 50-77 years old, and had a 20+ pack-year smoking history. Eligibility was not based on readiness to quit. Participants completed pre-LCS (T0) and post-LCS (T1) telephone assessments, were randomized to TC (N=46) vs. UC (N=46), and completed a final 3-month telephone assessment (T2). Both study arms received a list of evidence-based cessation resources. TC participants also received up to 6 brief counseling calls with a trained cessation counselor. Counseling calls incorporated motivational interviewing and utilized the screening result as a motivator for quitting. The outcome was biochemically verified 7-day point prevalence cessation at 3-months post-randomization. Participants (56.5% female) were 60.2 (SD=5.4) years old and reported 47.1 (SD=22.2) pack years; 30% were ready to stop smoking in the next 30 days. TC participants completed an average of 4.4 (SD=2.3) sessions. Using intent-to-treat analyses, biochemically verified quit rates were 17.4% (TC) vs. 4.3% (UC), p<.05. This study provides preliminary evidence that telephone-based cessation counseling is feasible and efficacious in the LCS setting. As millions of current smokers are now eligible for lung cancer screening, this setting represents an important opportunity to exert a large public health impact on cessation among smokers who are at very high risk for multiple tobacco-related diseases. If this evidence-based, brief, and scalable intervention is replicated, TC could help to improve the overall cost-effectiveness of LCS. TRIAL REGISTRATION: NCT02267096, https://clinicaltrials.gov.

Incorporating a Smoking Cessation Intervention into Lung Cancer Screening Programs: Preliminary Studies.

Two preliminary studies assessed whether telephone counseling (TC) is a feasible smoking cessation intervention following lung cancer screening. Seven older smokers undergoing lung cancer screening (pack years = 61.5) completed three TC sessions, which incorporated the screening result as motivation to quit. Participation (87.5%) and retention (85.7%) rates were good, and four smokers quit smoking (three of whom received abnormal results). We conducted four focus groups with 16 current and former older smokers (pack years = 55). Most believed that an abnormal scan would motivate them to quit and expressed interest in TC. TC may be feasible and potentially efficacious within lung screening programs.

Self-care strategies to relieve fatigue in patients receiving radiation therapy.

Despite advances in symptom management, patients commonly experience fatigue during radiation therapy (RT). Minimal research has been conducted to determine how evidence-based recommendations are put into clinical practice and used by patients to manage fatigue. The aims of the current study were to identify the self-care strategies used by patients receiving RT, explore the effectiveness of those strategies, and identify how patients learned about fatigue management. Participants reported using multiple recommended interventions to relieve fatigue. The majority of participants reported they primarily rested or slept to improve fatigue. They also reported decreasing their activity level, exercising, using stimulants and complementary therapies, and eating and drinking nutritious items. More than half of the participants reported some relief of fatigue regardless of the intervention used. The majority of participants reported that they learned how to manage their fatigue mostly through experience and trial and error. Nurses need to explore the complex dynamics of each patient's fatigue and tailor multiple evidence-based interventions to maximize each patient's functional status and quality of life. When assessing and teaching about fatigue, nurses need to explore patients' daytime activity level and daytime sleep to be sure that excessive inactivity is not contributing to fatigue.