Citations

Conventional cigarette smoking remains a leading preventable cause of morbidity and mortality despite declining prevalence, yet evidence-based treatments remain underused. This narrative review examines guideline-supported therapies and emerging approaches, including digital tools, neuromodulation, and harm-reduction strategies. Standard care typically combines FDA-approved pharmacotherapy with behavioral counseling. Digital interventions can extend access and support adherence, particularly when integrated with pharmacotherapy and follow-up. Repetitive transcranial magnetic stimulation (rTMS) can be considered as an adjunctive option for patients who do not respond to pharmacotherapy and is FDA-approved. For patients unable to quit, structured harm-reduction strategies may help reduce risk while supporting progression toward eventual abstinence. These approaches should be used alongside, not in place of, guideline-recommended pharmacotherapy and behavioral counseling, which remain the gold standard for care. This review outlines a pragmatic, primary care–oriented model that integrates stepped-care with harm-reduction strategies.

Video-based care has become a routine part of outpatient care delivery, yet older adults continue to face barriers in accessing and engaging with this modality. This study analyzed the comments provided within 7155 patient experience surveys from adults aged ≥65 years across a large, multi-specialty medical practice to identify challenges experienced with video-based visits. Thematic analysis revealed the highest proportion of positive comments were related to experience with people (71%), while barriers were often related to technical issues with video tools (73%). Most comments related to processes were positive, often highlighting convenience (67%). Using design thinking, we mapped the patient journey and proposed both immediate solutions, such as testing environments and clearer instructions, and long-term innovations like voice-guided support and emotionally intelligent interfaces. Our findings suggest that while video visits offer convenience, they must be redesigned with older adults in mind to ensure equitable, effective, and human-centered care.

Objective Ambient listening with subsequent artificial intelligence enabled medical record documentation is changing how physicians interact with the electronic health record (EHR). We studied primary care physician use, documentation time, and changes in note metrics associated with ambient listening technology. Methods We calculated the percentage of physicians adopting the ambient listening tool, Abridge. Note input contributed by Abridge was determined by the percentage of total characters in generated notes. Using the Epic EHR Signal metrics, we analyzed the change in note documentation time and note length for Abridge users before and after they implemented Abridge in their note generation process. Results The percentage of physicians using Abridge increased from 15% to 50% in 8 weeks. Adoption was also reflected in the percentage of the note attributable to the use of ambient listening technology. Note content generated by Abridge tripled, from 5% to 15% over the same 8 weeks. After Abridge adoption, 332 primary care physicians had a mean time of 4.16 minutes [confidence interval (CI) 95%; 3.86, 4.46] time in notes per note in a paired comparison to 5.11 minutes [CI 95%; 4.75, 5.47] per note prior to Abridge. Mean time saved per note after Abridge was 0.95 minutes [CI 95%; 0.48, 1.42, p < 0.0001], an 18.6% reduction in time. Mean note length for Abridge adopters increased by 238 characters [CI 95%; 89, 387, p < 0.0001] from a pre-implementation mean of 4404 characters per note (+5.4%). Conclusion Ambient listening had rapid uptake and widespread use by physicians in primary care. It was also associated with a significant decrease in time in notes.

Objectives: Modifiable lifestyle factors are associated with morbidity and mortality in hematopoietic stem cell transplant (HSCT) survivors. The aims of the study were to examine: (a) receipt of provider advice to change behaviors, (b) health behavior change, and (c) how modifiable lifestyle factors might cluster together. Methods: Patients within a large HSCT program completed a survey (N =870) of lifestyle factors at pre-HSCT evaluation. The survey assessed self-reported adherence to American Cancer Society and HSCT guidelines for cancer survivorship in the year prior to a pre-HSCT evaluation. Lifestyle factors of interest were physical activity, fruit and vegetable consumption, tobacco use, alcohol use, and height/weight to calculate Body Mass Index (BMI). Results: Among patients not meeting all five guidelines (98%), 31% received provider advice to change. Between 10% and 42% reported healthy behavior change since diagnosis. Physical activity, fruit and vegetable consumption, and BMI were the most commonly clustered lifestyle behaviors. Conclusions: A considerable proportion of patients did not meet national guidelines for lifestyle factors. Results highlight an immediate opportunity to improve health care delivery and transplant outcomes via pre-HSCT lifestyle screening and implementation of effective health behavior change interventions.

Guideline-recommended screening programs exist for only a few single-cancer types, and these cancers represent less than one-half of all new cancer cases diagnosed each year in the U.S. In addition, these “single-cancer” standard of care (SoC) screening tests vary in accuracy, adherence, and effectiveness, though all are generally understood to lead to reductions in cancer-related mortality. Recent advances in high-throughput technologies and machine learning have facilitated the development of blood-based multi-cancer early detection (MCED) tests. The opportunity for early detection of multiple cancers with a single blood test holds promise in addressing the current unmet need in cancer screening. By complementing existing SoC screening, MCED tests have the potential to detect a wide range of cancers at earlier stages when patients are asymptomatic, enabling more effective treatment options and improved cancer outcomes. MCED tests are positioned to be utilized as a complementary screening tool to improve screening adherence at the population level, to broaden screening availability for individuals who are not adherent with SoC screening programs, as well as for those who may harbor cancers that do not have SoC testing available. Published work to date has primarily focused on test performance relating to sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). MCED tests will require approval through the pre-market approval pathway from the United States Food and Drug Administration. Additional studies will be needed to demonstrate clinical utility (i.e., improvements in health outcomes) and establish optimal implementation strategies, (i.e., testing intervals), follow-up and logistics of shared decision making. Here, we propose core attributes of MCED testing for which clinical data are needed to ideally position MCED testing for widespread use in clinical practice.

INTRODUCTION: Abdominal bloating is a difficult symptom to treat. Hypnotherapy and diaphragmatic intervention have separately shown benefit on bloating in prior work but have not been united into a single intervention. We aimed to obtain data on the potential therapeutic impact of a novel audio-recorded bloating treatment for bloating integrating hypnosis and diaphragmatic breathing, with proposed synergistic effect. METHODS: Patients with nonorganic bowel disorders with predominant bloating symptoms completed a digitally delivered 7-session audio-recorded hypnotherapy program without clinician involvement. The intervention combined bloating-targeted hypnotic suggestions and guided diaphragmatic breathing delivered under hypnosis, and was supplemented with interval self-guided breathing exercises. Participants completed online REDCap assessments at baseline, midtreatment, at end of treatment, and 3-month follow-up, evaluating symptom severity, gastrointestinal symptom-specific anxiety, overall anxiety/depression, and quality of life. Outcomes were assessed in an intention-to-treat manner with repeated measures analysis of variances (ANOVAs) with Bonferroni-adjusted pairwise post hoc tests. RESULTS: Of 23 patients who started treatment, 22 (95.6%) completed follow-up. Bloating severity on Irritable Bowel Syndrome-Symptom Severity Scale and Patient Assessment of Upper Gastrointestinal Symptom Severity Index showed reduction in bloating with large effect sizes (Cohen d of ∼0.8) at the end of treatment, as did Visceral Sensitivity Index bloating-related anxiety. At the end of treatment, 16 patients (69.6%) were Irritable Bowel Syndrome-Symptom Severity Scale treatment responders (≥30% symptom reduction) on bloating and 17 (73.9%) on overall bowel symptom severity. Anxiety, depression, and quality-of-life scores were unchanged. Outcome measures were fully maintained at the 3-month follow-up. DISCUSSION: Results suggest the therapeutic utility of a new cost-effective self-administered bloating intervention. A randomized controlled trial is planned to confirm these therapeutic effects.

Objectives: To identify patient characteristics, health concerns, and barriers to care based on overweight or obesity. Methods: A 50-question anonymous survey was administered to patients. Data were compared by body mass index (BMI). Results: Among 3976 distributed surveys, 899 were returned and 682 were analyzed. Most respondents were women (60%), White (94%), and married/partnered (65%) and had some college education (80%). Younger and unmarried persons had higher BMI ( P < .001). Concern for quality of life ( P < .001) and importance of lifestyle changes ( P = .006) increased with BMI, but confidence in making changes decreased as BMI increased ( P < .001). Perceived good health decreased with increasing BMI ( P < .001), whereas depression and other comorbid conditions increased. Self-esteem decreased and stigma increased with higher BMI (both P < .001). Weight discussions with clinicians ( P < .001) and belief that clinicians should be involved in weight management ( P = .002) increased with BMI, yet self-perception of being judged by clinicians also increased ( P < .001). As BMI increased, delays in seeking health care increased ( P < .001). Conclusions: This survey study highlights perceived health concerns and barriers to care among persons with overweight and obesity. With higher BMI, self-esteem decreased, and stigma, self-perception of poor health, perception of being judged by clinicians, and delay in seeking medical care increased.

Abstract Background The legal climate for cannabis use has dramatically changed with an increasing number of states passing legislation legalizing access for medical and recreational use. Among cancer patients, cannabis is often used to ameliorate adverse effects of cancer treatment. Data are limited on the extent and type of use among cancer patients during treatment and the perceived benefits and harms. This multicenter survey was conducted to assess the use of cannabis among cancer patients residing in states with varied legal access to cannabis. Methods A total of 12 NCI-Designated Cancer Centers, across states with varied cannabis-access legal status, conducted surveys with a core questionnaire to assess cannabis use among recently diagnosed cancer patients. Data were collected between September 2021 and August 2023 and pooled across 12 cancer centers. Frequencies and 95% confidence intervals for core survey measures were calculated, and weighted estimates are presented for the 10 sites that drew probability samples. Results Overall reported cannabis use since cancer diagnosis among survey respondents was 32.9% (weighted), which varied slightly by state legalization status. The most common perceived benefits of use were for pain, sleep, stress and anxiety, and treatment side effects. Reported perceived risks were less common and included inability to drive, difficulty concentrating, lung damage, addiction, and impact on employment. A majority reported feeling comfortable speaking to health-care providers though, overall, only 21.5% reported having done so. Among those who used cannabis since diagnosis, the most common modes were eating in food, smoking, and pills or tinctures, and the most common reasons were for sleep disturbance, followed by pain and stress and anxiety with 60%-68% reporting improved symptoms with use. Conclusion This geographically diverse survey demonstrates that patients use cannabis regardless of its legal status. Addressing knowledge gaps concerning benefits and harms of cannabis use during cancer treatment is critical to enhance patient-provider communication.

Guideline-recommended screening programs exist for only a few cancer types. Although all these programs are understood to lead to reductions in cancer-related mortality, standard-of-care screening tests vary in accuracy, adherence and effectiveness. Recent advances in high-throughput technologies and machine learning have facilitated the development of blood-based multi-cancer cancer early detection (MCED) tests. MCED tests are positioned to be complementary to standard-of-care screening and they may broaden screening availability, especially for individuals who are not adherent with current screening programs and for individuals who may harbor cancers with no available screening options. In this article, we outline some key features that should be considered for study design and MCED test development, provide an example of the developmental pathway undertaken for an emerging multi-biomarker class MCED test and propose a clinical algorithm for an imaging-based diagnostic resolution strategy following MCED testing.