Improve accessibility to evidence-based treatment for insomnia disorder.

The Society of Behavioral Medicine supports increasing access to evidence-based treatment of insomnia by addressing barriers at the patient, provider, and systemic levels including support from government agencies to raise awareness about sleep and sleep disorders, health payors providing fair reimbursement for evidence-based insomnia assessment and therapy consistent with standard of care recommendations, and relevant training programs (e.g. psychologists, nurses, physicians, social workers, licensed professional counselors) to prioritize sleep health education.

The Society of Behavioral Medicine supports making treatment for insomnia more available to people who need it. This could include using several solutions that target different people who can make a difference. One solution could be public health campaigns that increase awareness of the treatment options for insomnia among patients and providers. A second solution could include encouraging training programs for behavioral health providers to focus more on learning how to offer insomnia treatment. A third solution could be advocating with insurance companies to provide higher financial support for these services from well-trained providers.

Improving Veteran Engagement with Virtual Care Technologies: a Veterans Health Administration State of the Art Conference Research Agenda.

Although the availability of virtual care technologies in the Veterans Health Administration (VHA) continues to expand, ensuring engagement with these technologies among Veterans remains a challenge. VHA Health Services Research & Development convened a Virtual Care State of The Art (SOTA) conference in May 2022 to create a research agenda for improving virtual care access, engagement, and outcomes. This article reports findings from the Virtual Care SOTA engagement workgroup, which comprised fourteen VHA subject matter experts representing VHA clinical care, research, administration, and operations. Workgroup members reviewed current evidence on factors and strategies that may affect Veteran engagement with virtual care technologies and generated key questions to address evidence gaps. The workgroup agreed that although extensive literature exists on factors that affect Veteran engagement, more work is needed to identify effective strategies to increase and sustain engagement. Workgroup members identified key priorities for research on Veteran engagement with virtual care technologies through a series of breakout discussion groups and ranking exercises. The top three priorities were to (1) understand the Veteran journey from active service to VHA enrollment and beyond, and when and how virtual care technologies can best be introduced along that journey to maximize engagement and promote seamless care; (2) utilize the meaningful relationships in a Veteran's life, including family, friends, peers, and other informal or formal caregivers, to support Veteran adoption and sustained use of virtual care technologies; and (3) test promising strategies in meaningful combinations to promote Veteran adoption and/or sustained use of virtual care technologies. Research in these priority areas has the potential to help VHA refine strategies to improve virtual care user engagement, and by extension, outcomes.

Barriers to and Facilitators of Family Caregiving of Patients With COVID-19 Early in the Pandemic.

BACKGROUND: In 2020, many family members were thrust into the role of caregiving for a relative with COVID-19 with little preparation, training, or understanding of the disease and its symptoms. OBJECTIVES: To explore the barriers to and facilitators of caregiving experienced by family caregivers of patients with COVID-19 who had been in intensive care in the pandemic's earliest months. METHODS: In-depth qualitative interviews were conducted by web conference with 16 adults recovering at home after intubation for COVID-19 in an intensive care unit at a major academic medical center and their primary caregivers from March to August 2020 (N = 32). Thematic qualitative analysis was done using Watkins' rigorous and accelerated data reduction technique with MAXQDA software. RESULTS: Seven themes emerged regarding factors that facilitated or posed barriers to care: other health conditions that increased complexity of care, interactions and experiences in the health care system, COVID-19's proliferation into other areas of life, the psychological well-being of the patient-caregiver dyad, experience of support from the dyad's network, the role of caregiving in the dyad, and contextual circumstances of the dyad. The themes often included both barriers and facilitators, depending on the experience of the dyad (eg, feeling encouraged vs fatigued by their support network). CONCLUSIONS: Understanding how patients with COVID-19 and their caregivers experience illness management across the recovery journey can help clarify the COVID-19 care-giving process and identify intervention targets to improve overall health and well-being of the care dyad.

Development and Evaluation of a Data-Driven, Interactive Workshop to Facilitate Communication and Teamwork in Ambulatory Medical Oncology Settings.

Background: While adverse events and toxicities related to cancer drug therapy in the ambulatory oncology setting are common and often rooted in communication challenges, few studies have examined the problems of communication or tested tools to improve communication in this unique, high-risk setting. Objective: To determine the feasibility and acceptability of a virtual interdisciplinary communication Workshop designed to strengthen communication across ambulatory oncology teams members. Methods: Surveys of patients and clinicians in one ambulatory oncology clinic were analyzed and informed the communication intervention: an interdisciplinary virtual Workshop. Workshop evaluation included an implementation survey measure and a structured debrief with Workshop attendees. Results: 87 patients and 56 clinicians participated in pre-workshop surveys that revealed patient satisfaction with timely care and information, yet a range of rating communication experiences with the clinical team, and clinicians perceiving a high amount of organizational safety, yet rated discussion of alternatives to normal work processes low. Survey results guided reflection and discussion within the Workshop. Six clinicians participated in the interactive Workshop. Feasibility and acceptability of the virtual Workshop were supported by formative and summative data, along with suggestions for improvement. Conclusions: The patient and clinician surveys coupled with an interactive virtual Workshop were feasible and acceptable. Implications for Practice: The Workshop identified opportunities for individual- and system-level improvements in clinical team communication. This promising strategy requires replication in larger, diverse practice samples. Foundational: Clinicians accepted an interactive workshop that incorporated clinic-specific data and communication strategies. The program is feasible and acceptable in ambulatory oncology settings.

Effect of a Machine Learning Recommender System and Viral Peer Marketing Intervention on Smoking Cessation: A Randomized Clinical Trial.

Importance: Novel data science and marketing methods of smoking-cessation intervention have not been adequately evaluated. Objective: To compare machine learning recommender (ML recommender) computer tailoring of motivational text messages vs a standard motivational text-based intervention (standard messaging) and a viral peer-recruitment tool kit (viral tool kit) for recruiting friends and family vs no tool kit in a smoking-cessation intervention. Design, Setting, and Participants: This 2 ×2 factorial randomized clinical trial with partial allocation, conducted between July 2017 and September 2019 within an online tobacco intervention, recruited current smokers aged 18 years and older who spoke English from the US via the internet and peer referral. Data were analyzed from March through May 2022. Interventions: Participants registering for the online intervention were randomly assigned to the ML recommender or standard messaging groups followed by partially random allocation to access to viral tool kit or no viral tool kit groups. The ML recommender provided ongoing refinement of message selection based on user feedback and comparison with a growing database of other users, while the standard system selected messages based on participant baseline readiness to quit. Main Outcomes and Measures: Our primary outcome was self-reported 7-day point prevalence smoking cessation at 6 months. Results: Of 1487 participants who smoked (444 aged 19-34 years [29.9%], 508 aged 35-54 years [34.1%], 535 aged ≥55 years [36.0%]; 1101 [74.0%] females; 189 Black [12.7%] and 1101 White [78.5%]; 106 Hispanic [7.1%]), 741 individuals were randomly assigned to the ML recommender group and 746 individuals to the standard messaging group; viral tool kit access was provided to 745 participants, and 742 participants received no such access. There was no significant difference in 6-month smoking cessation between ML recommender (146 of 412 participants [35.4%] with outcome data) and standard messaging (156 of 389 participants [40.1%] with outcome data) groups (adjusted odds ratio, 0.81; 95% CI, 0.61-1.08). Smoking cessation was significantly higher in viral tool kit (177 of 395 participants [44.8%] with outcome data) vs no viral tool kit (125 of 406 participants [30.8%] with outcome data) groups (adjusted odds ratio, 1.48; 95% CI, 1.11-1.98). Conclusions and Relevance: In this study, machine learning-based selection did not improve performance compared with standard message selection, while viral marketing did improve cessation outcomes. These results suggest that in addition to increasing dissemination, viral recruitment may have important implications for improving effectiveness of smoking-cessation interventions. Trial Registration: ClinicalTrials.gov Identifier: NCT03224520.

Factors Affecting Psychological Distress in Family Caregivers of Critically Ill Patients: A Qualitative Study.

BACKGROUND: Family caregivers often experience psychological distress during a critical care hospitalization, potentially compromising their ability to function effectively in a supportive role. A better understanding of the sources of family caregiver distress is needed to inform strategies to mitigate its development and impact. OBJECTIVE: To explore sources of family caregiver psychological distress during a critical care hospitalization and how caregivers' experiences may differ by their anxiety level. METHODS: Forty adult family members of patients receiving mechanical ventilation for more than 72 hours in 2 intensive care units at an academic medical center were interviewed. A qualitative directed content analysis was done. Experiences were compared by anxiety level group, defined using the Hospital Anxiety and Depression Scale: anxiety (n = 15), borderline anxiety (n = 11), and low anxiety (n=14). RESULTS: Most family members (32%) were adult children; no major demographic differences were noted across anxiety groups. Among caregivers in the anxiety group, salient factors included early unknowns around critical illness, health care team processes, care decisions made, financial and housing concerns, family dysfunction, and new responsibilities. In general, low-anxiety family caregivers did not express their concerns using language of distress but rather expressed emotion and disappointment and often took action to process their concerns. CONCLUSIONS: Factors influencing family caregiver distress during the critical care stay were wide-ranging and varied by level of anxiety. The findings highlight several key areas and potential interventions to reduce psychological distress, especially among caregivers with anxiety.

Caregiving in the COVID-19 pandemic: Family adaptations following an intensive care unit hospitalisation.

AIM AND OBJECTIVE: To identify how family caregivers adapt to the caregiving role following a relative's COVID-19-related intensive care unit (ICU) hospitalisation. BACKGROUND: Family caregiving is often associated with poor health amongst caregivers which may limit their capacity to effectively support patients. Though severe COVID-19 infection has necessitated increasing numbers of persons who require caregiver support, little is known about these caregivers, the persons they are caring for, or the strategies used to effectively adjust to the caregiving role. DESIGN: A qualitative descriptive study design was adopted, and findings are reported using COREQ. METHODS: A secondary analysis of transcripts from semi-structured interviews conducted with recently discharged ICU patients who had COVID-19 (n = 16) and their family caregivers (n = 16) was completed using thematic analysis. MAXQDA 2020 and Miro were used to organise data and complete coding. Analysis involved a structured process of open and closed coding to identify and confirm themes that elucidated adaptation to family caregiving. RESULTS: Six themes highlight how family caregivers adapt to the caregiving role following an ICU COVID-19-related hospitalisation including (1) engaging the support of family and friends, (2) increased responsibilities to accommodate caregiving, (3) managing emotions, (4) managing infection control, (5) addressing patient independence and (6) engaging support services. These themes were found to be congruent with the Roy adaptation model. CONCLUSIONS: Family caregiving is a stressful transition following a patient's acute hospitalisation. Effective adaptation requires flexibility and sufficient support, beginning with the care team who can adequately prepare the family for the anticipated challenges of recovery. RELEVANCE TO CLINICAL PRACTICE: Clinical teams may improve post-hospitalisation care outcomes of patients by preparing families to effectively adjust to the caregiver role-particularly in identifying sufficient support resources. PATIENT OR PUBLIC CONTRIBUTION: Participation of patients/caregivers in this study was limited to the data provided through participant interviews.

Quality improvement engagement: Barriers and facilitators.

A comparison of frontline nurses, advanced practice nurses, and nurse leaders.

Effect of Technology-Assisted Brief Abstinence Game on Long-term Smoking Cessation in Individuals Not Yet Ready to Quit: A Randomized Clinical Trial.

IMPORTANCE: Most trials of behavioral or pharmaceutical interventions for people who smoke are limited to individuals reporting they are ready to quit smoking. Engaging individuals who initially report they are not yet ready to quit in brief, precessation, skills-building interventions (eg, practice quit attempts or nicotine replacement therapy [NRT] sampling) is challenging. OBJECTIVE: To test an integrated behavioral plus NRT-sampling intervention using a gamification approach supported by mobile health. DESIGN, SETTING, AND PARTICIPANTS: A multisite randomized clinical trial with site-level 1-to-1 allocation into 2 conditions was conducted in 4 US health care systems. A total of 433 individuals who were currently smoking and reported at enrollment that they were not ready to quit smoking were enrolled. The study was conducted from November 7, 2016, to July 31, 2020. INTERVENTIONS: Take a Break (TAB) was a 3-week game experience and included 5 behavioral components (motivational messaging, challenge quizzes, brief abstinence goal setting, mobile health apps for cravings management, and reward points for participation) integrated with NRT sampling. TAB draws on social cognitive theory and game mechanics concepts to engage participants in health behavior change. The comparison included NRT sampling only. MAIN OUTCOMES AND MEASURES: Time to first quit attempt (duration from TAB experience to primary outcome) and carbon monoxide level-verified smoking cessation at 6-month follow-up. All analyses used an intention-to-treat approach. RESULTS: Of the 433 individuals included in the trial, 223 were women (52%); mean (SD) age was 54 (13) years. More than half (53% [112 of 213]) of the TAB participants completed 100% of the daily challenge quizzes in the first week, 73% (145 of 199) of participants who completed the goal-setting call set a brief abstinence goal (most frequently 1-2 days of abstinence from cigarettes), and 75% (159 of 213) of participants used the mobile health apps to manage nicotine cravings. Time to the first quit attempt was lower for the TAB vs comparison group (hazard ratio, 1.68; 95% CI, 1.09-2.60; P = .02). At the 6-month follow-up, 18% (28 of 160) of TAB participants and 10% (17 of 171) of the comparison (χ2 test, P = .045) participants obtained carbon monoxide level-verified smoking cessation (accounting for clustering of outcomes by site; odds ratio, 1.92; 95% CI, 1.01-3.68; P = .048). CONCLUSIONS AND RELEVANCE: The findings of this randomized clinical trial demonstrate that individuals not yet ready to quit smoking could be engaged in a brief abstinence game. Six months later, the TAB group had nearly double the rate of smoking cessation vs the NRT sampling comparison group. Integrating a skills-building game experience with brief NRT sampling can enhance long-term cessation among those not yet ready to quit smoking. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02973425.

Evaluating the use of a recommender system for selecting optimal messages for smoking cessation: patterns and effects of user-system engagement.

BACKGROUND: Motivational messaging is a frequently used digital intervention to promote positive health behavior changes, including smoking cessation. Typically, motivational messaging systems have not actively sought feedback on each message, preventing a closer examination of the user-system engagement. This study assessed the granular user-system engagement around a recommender system (a new system that actively sought user feedback on each message to improve message selection) for promoting smoking cessation and the impact of engagement on cessation outcome. METHODS: We prospectively followed a cohort of current smokers enrolled to use the recommender system for 6 months. The system sent participants motivational messages to support smoking cessation every 3 days and used machine learning to incorporate user feedback (i.e., user's rating on the perceived influence of each message, collected on a 5-point Likert scale with 1 indicating strong disagreement and 5 indicating strong agreement on perceiving the influence on quitting smoking) to improve the selection of the following message. We assessed user-system engagement by various metrics, including user response rate (i.e., the percent of times a user rated the messages) and the perceived influence of messages. We compared retention rates across different levels of user-system engagement and assessed the association between engagement and the 7-day point prevalence abstinence (missing outcome = smoking) by using multiple logistic regression. RESULTS: We analyzed data from 731 participants (13% Black; 73% women). The user response rate was 0.24 (SD = 0.34) and user-perceived influence was 3.76 (SD = 0.84). The retention rate positively increased with the user response rate (trend test P < 0.001). Compared with non-response, six-month cessation increased with the levels of response rates: low response rate (odds ratio [OR] = 1.86, 95% confidence interval [CI]: 1.07-3.23), moderate response rate (OR = 2.30, 95% CI: 1.36-3.88), high response rate (OR = 2.69, 95% CI: 1.58-4.58). The association between perceived message influence and the outcome showed a similar pattern. CONCLUSIONS: High user-system engagement was positively associated with both high retention rate and smoking cessation, suggesting that investigation of methods to increase engagement may be crucial to increase the impact of the recommender system for smoking cessation. TRIAL REGISTRATION: Registration Identifier: NCT03224520 . Registration date: July 21, 2017.

Provider and clinical setting characteristics associated with tobacco pharmacotherapy dispensed in the Veterans Health Administration.

INTRODUCTION: While initiation rates of tobacco cessation pharmacotherapy have improved both inside and outside the Department of Veteran Affairs (VA), prescribing rates remain low. The objective of this study was to examine correlation of the characteristics of providers, clinics, and facilities with initiation of tobacco cessation pharmacotherapy. METHODS: This retrospective, observational study used VA outpatient electronic medical record data from federal fiscal year 2011. Logistic regression models estimated the adjusted odds ratio associated with provider characteristics for pharmacotherapy initiation. RESULTS: For the 639507 veterans who used tobacco, there were 30388 providers caring for them. Younger (p<0.001) and female (p<0.001) providers were more likely to initiate tobacco cessation pharmacotherapy. Compared to physicians, pharmacists were 74% more likely to initiate pharmacotherapy, while all groups of nurses were 5-8% and physicians' assistants were 12% less likely (p<0.001). Compared to those seen in primary care clinics, patients assessed in substance use treatment clinics were 16% more likely to have pharmacotherapy initiated (p<0.001), while those in psychiatry were 10% less likely (p<0.001), and those in outpatient surgery were 39% less likely to initiate pharmacotherapy (p<0.001). Compared to almost all other classes of VA facilities, patients seen in primary care community-based outpatient clinics (CBOCs) were 7-28% more likely to initiate pharmacotherapy (p<0.0001). CONCLUSIONS: While the VA is at the leading edge of providing tobacco cessation pharmacotherapy, targeting quality improvement efforts towards providers, clinics, and facilities with low prescribing rates will be essential to continue the declining rates of tobacco use among VA patients.

Gamification for Family Engagement in Lifestyle Interventions: A Systematic Review.

The majority of chronic conditions that plague the USA are modifiable by lifestyle change. Lifestyle interventions that incorporate family members for social support and that use game design elements to engage family members have the potential to improve upon traditional interventions, which have largely been unsustainable. Determining the populations where family member support in a lifestyle intervention are present and the extent of gamification of lifestyle intervention components that engage these family members is an important and underexplored area of work. A systematic review of lifestyle interventions involving family members were reviewed for game design elements using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Game design elements related to engaged learning and motivational affordances from previous literature were included. Sixty-one studies met inclusion criteria. These studies reported on 50 independent interventions that were reviewed. Thirty-one of these interventions addressed lifestyle in those with a chronic condition, and 19 addressed lifestyle in those at high risk for chronic conditions. The majority of the lifestyle interventions included at least one game design element, yet overall there were limited elements utilized together. Compared with successful gamified programs that have greatly impacted a population's health behaviors, there were relatively a limited number of elements reported, particularly those that support social relatedness, such as meaningful storylines. Meaningfulness of the game design elements chosen and their arrangement was not apparent. Technology was under-utilized as a potential modality for intervention component delivery. Developing products to train researchers to properly apply game design elements to intervention components, as well as test their effectiveness, are areas for future research.

Comparing nurse leader and manager perceptions of and strategies for nurse engagement using a positive deviance approach: A qualitative analysis.

AIMS: To understand nurse leader and manager perspectives on employee engagement and their own role to foster engagement. To examine differences between managers of units with high versus low engagement. BACKGROUND: Health systems recognize the impact of employee engagement, yet alignment of leader and frontline-manager perspectives remains unclear. METHODS: A qualitative study at the Veteran Affairs New England Healthcare System. Leaders at five facilities (N = 13) and managers of units with high and low nurse engagement (N = 31) were interviewed. RESULTS: Nurse leaders almost universally conceptualized staff engagement as involvement in quality improvement service, while managers defined engagement as either commitment to excellence in direct patient care or involvement in quality improvement efforts. Intra- and interprofessional attitude contagion, and organisational factors of staffing-time-workload and senior leadership support were most common to support or detract from nurse engagement. A variety of strategies were identified, including protecting nurses as people and professionals. Differences in perceived roles and constraints to engaging nurse staff exist between managers of units with high versus low engagement. CONCLUSION: Nurse managers and leaders perceive engagement differently; strategies exist to facilitate engagement. IMPLICATIONS FOR NURSING MANAGEMENT: Leader and manager partnerships are needed to provide clarity on and resources for engagement.

Comparing recruitment strategies for a digital smoking cessation intervention: Technology-assisted peer recruitment, social media, ResearchMatch, and smokefree.gov.

BACKGROUND: Choosing the right recruitment strategy has implications for the successful conduct of a trial. Our objective was to compare a novel peer recruitment strategy to four other recruitment strategies for a large randomized trial testing a digital tobacco intervention. METHODS: We compared enrollment rates, demographic and baseline smoking characteristics, and odds of completing the 6-month study by recruitment strategy. Cost of recruitment strategies per retained participant was calculated using staff personnel time and advertisement costs. FINDINGS: We enrolled 1487 participants between August 2017 and March 2019 from: Peer recruitment n = 273 (18.4%), Facebook Ads n = 505 (34%), Google Ads = 200 (13.4%), ResearchMatch n = 356 (23.9%) and Smokefree.govn = 153 (10.3%). Mean enrollment rate per active recruitment month: 1) Peer recruitment, n = 13.9, 2) Facebook ads, n = 25.3, 3) Google ads, n = 10.51, 4) Research Match, n = 59.3, and 5) Smokefree.gov, n = 13.9. Peer recruitment recruited the greatest number of males (n = 110, 40.3%), young adults (n = 41, 14.7%), participants with a high school degree or less (n = 24, 12.5%) and smokers within one's social network. Compared to peer recruitment (retention rate = 57%), participants from Facebook were less likely (OR 0.46, p < 0.01, retention rate = 40%), and those from ResearchMatch were more likely to complete the study (OR 1.90, p < 0.01, retention rate = 70%). Peer recruitment was moderate in cost per retained participant ($47.18) and substantially less costly than Facebook ($173.60). CONCLUSIONS: Though peer recruitment had lower enrollment than other strategies, it may provide greater access to harder to reach populations and possibly others who smoke within one's social network while being moderately cost-effective. ClinicalTrials.gov: NCT03224520.

Impact of Patient Access to Online VA Notes on Healthcare Utilization and Clinician Documentation: a Retrospective Cohort Study.

BACKGROUND: In an effort to foster patient engagement, some healthcare systems provide their patients with open notes, enabling them to access their clinical notes online. In January 2013, the Veterans Health Administration (VA) implemented online access to clinical notes ("VA Notes") through the Blue Button feature of its patient portal. OBJECTIVE: To measure the association of online patient access to clinical notes with changes in healthcare utilization and clinician documentation behaviors. DESIGN: A retrospective cohort study. PATIENTS: Patients accessing My HealtheVet (MHV), the VA's online patient portal, between July 2011 and January 2015. MAIN MEASURES: Use of healthcare services (primary care clinic visits and online electronic secure messaging), and characteristics of physician clinical documentation (readability of notes). KEY RESULTS: Among 882,575 unique portal users, those who accessed clinical notes (16.2%; N = 122,972) were younger, more racially homogenous (white), and less likely to be financially vulnerable. Compared with non-users, Notes users more frequently used the secure messaging feature on the portal (mean of 2.6 messages (SD 7.0) v. 0.87 messages (SD 3.3) in January-July 2013), but their higher use of secure messaging began prior to VA Notes implementation, and thus was not temporally related to the implementation. When comparing clinic visit rates pre- and post-implementation, Notes users had a small but significant increase in rate of 0.36 primary care clinic visits (2012 v. 2013) compared to portal users who did not view their Notes (p = 0.01). At baseline, the mean reading ease of primary care clinical notes was 53.8 (SD 10.1) and did not improve after implementation of VA Notes. CONCLUSIONS: VA Notes users were different than patients with portal access who did not view their notes online, and they had higher rates of healthcare service use prior to and after VA Notes implementation. Opportunities exist to improve clinical note access and readability.

Teamwork for smoking cessation: which smoker was willing to engage their partner? Results from a cross-sectional study.

OBJECTIVE: Smokers are greatly influenced by those living with them, but strategies that increase partner support for smoking cessation are lacking. Using a cross-sectional study design, we explored factors associated with willingness to engage a partner in smoking cessation in smokers registered on a web-assisted tobacco intervention trial. RESULTS: Study participants (n = 983) were recruited between July 2018 and March 2019. About 28% of smokers were willing to engage their partner in cessation efforts. The odds of willingness to engage a partner were more than two-fold for smokers reporting presence of other smokers in the immediate family (adjusted odds ratio (aOR): 2.18; 95% confidence interval (CI) 1.51-3.15 for 1-3 smokers; aOR, 3.12; 95% CI 1.95-4.98 for ≥ 4 smokers) compared to those with no smokers in the immediate family. Women had lower odds of willingness to engage (aOR; 0.82; 95% CI 0.58-1.16) than men, but this was not statistically significant. Use of e-cigarettes and visitation to a smoking cessation website prior to the intervention were both positively associated with willingness to engage partners in cessation. Future research should assess whether interventions tailored to smokers willing to engage partners or spouses could increase effectiveness of partner support during cessation.

The 'Take a Break' game: Randomized trial protocol for a technology-assisted brief abstinence experience designed to engage lower-motivated smokers.

BACKGROUND: While smoking continues to be the most preventable cause of mortality in the United States, most current smokers remain not ready to quit at any given time. Engaging these 'motivation phase' smokers with brief experiences to build confidence and practice skills related to cessation could lead to sooner and more successful quit attempts. Increasingly available mobile technology and gamification can be used to provide smokers with accessible and engaging support. METHODS: We describe our protocol for conducting a randomized controlled trial evaluating Take a Break, an mHealth-based smoking pre-cessation challenge designed for smokers not ready to quit. Participants in the intervention receive 1) Motivational Messages, 2) text message Challenge Quizzes, 3) Goal-setting with tobacco treatment specialist, 4) Coping Mini-Games apps, and 5) Recognition and Rewards for participation during a 3-week challenge. Access to coping mini-games and motivational messaging continues for 6-months. Both intervention and comparison group participants receive brief Nicotine Replacement Therapy (NRT) sampling and daily smoking assessment text messages for three weeks. Primary outcomes include number of days abstinent during the challenge, change in patient-reported self-efficacy after the challenge, time to first quit attempt following the challenge, and 7-day point prevalent smoking cessation at six months. CONCLUSION: Take a Break is an innovative approach to engage those not prepared for a quit attempt. Take a Break provides motivation phase smokers with tools and a brief experience to prepare them for a quit attempt, filling a gap in tobacco cessation support and current research.

The Association Between Patient-reported Clinical Factors and 30-day Acute Care Utilization in Chronic Heart Failure.

BACKGROUND: Heart failure patients have high rates of repeat acute care use. Current efforts for risk prediction often ignore postdischarge data. OBJECTIVE: To identify postdischarge patient-reported clinical factors associated with repeat acute care use. RESEARCH DESIGN: In a prospective cohort study that followed patients with chronic heart failure for 30 days postdischarge, for 7 days after discharge (or fewer days if patients used acute care within 7 days postdischarge), patients reported health status, heart failure symptoms, medication management, knowledge of follow-up plans, and other issues using a daily interactive automatic phone call. SUBJECTS: A total of 156 patients who had responded to phone surveys. MEASURES: The outcome variable was dichotomous 30-day acute care use (rehospitalization or emergency department visit). We examined the association between each patient-reported issue and the outcome, using multivariable logistic regression to adjust for confounders. RESULTS: Patients were 63 years old (SD=12.4), with 51% African-American and 53% women. Within 30 days postdischarge, 30 (19%) patients used acute care. After adjustment, poor health status [odds ratio (OR)=3.53; 95% confidence interval (CI), 1.06-11.76], pain (OR=2.44; 95% CI, 1.02-5.84), and poor appetite (OR=3.05; 95% CI, 1.13-8.23) were positively associated with 30-day acute care utilization. Among 58 reports of pain in follow-up nursing notes, 39 (67%) were noncardiac, 2 (3%) were cardiac, and 17 (29%) were indeterminate. CONCLUSIONS: Patient-reported poor health status, pain, and poor appetite were positively associated with 30-day acute care utilization. These novel postdischarge markers require further study before incorporation into risk prediction to drive quality improvement efforts.

National Burnout Trends Among Physicians Working in the Department of Veterans Affairs.

BACKGROUND: Heterogeneity of existing physician burnout studies impairs analyses of longitudinal trends, geographic distribution, and organizational factors impacting physician burnout. The Department of Veterans Affairs (VA) is one of the largest integrated healthcare systems in the USA, offering a unique opportunity to study burnout across VA sites and time. OBJECTIVE: To characterize longitudinal burnout trends of VA physicians and assess organizational characteristics and geographic distribution associated with physician burnout. DESIGN: Longitudinal study of the VA All Employee Survey during 2013-2017. PARTICIPANTS: Self-identified physicians practicing in one of nine clinical service areas at 140 VA sites nationwide. MAIN MEASURES: We identified burnout using a validated definition adapted from the Maslach Burnout Inventory and characterized burnout trends for physicians in different clinical service areas. We used clustering analysis to categorize sites based on their burnout rates over time, and compared organizational characteristics and geographic distribution of high, medium, and low burnout categories. KEY RESULTS: We identified 40,382 physician responses from 140 VA sites. Mean burnout rates across all physicians ranged from 34.3% in 2013 to a high of 39.0% in 2014. Primary care physicians had the highest burnout. High burnout sites were more likely to be rural and non-teaching, have lower complexity (i.e., offer fewer advanced clinical services), and have fewer unique patients per site. CONCLUSIONS: VA physician burnout was lower than previously described in many non-VA studies and was relatively stable over time. These findings may be due to unique characteristics of the VA practice environment. Nonetheless, with over a third of VA physicians reporting burnout, organizational interventions are needed. Primary care physicians and those practicing at small, rural sites have higher rates of burnout and may warrant more focused attention. Our results can guide targeted interventions to promote VA physician well-being and inform efforts to address burnout in diverse clinical settings.

Nurse-Driven mHealth Implementation Using the Technology Inpatient Program for Smokers (TIPS): Mixed Methods Study.

BACKGROUND: Smoking is the leading cause of preventable death and disease, yet implementation of smoking cessation in inpatient settings is inconsistent. The Technology Inpatient Program for Smokers (TIPS) is an implementation program designed to reach smokers with a mobile health (mHealth) intervention using stakeholder-supported strategies. OBJECTIVE: The purpose of this study was to determine the impact of the TIPS implementation strategies on smoker-level engagement of the mHealth intervention during care transition. METHODS: We examined varying intensities (passive motivational posters only and posters + active nurse-led facilitation) of TIPS strategies on four hospital units located in two sites. Unit-level and smoker-level adoption was monitored during active implementation (30 weeks) and sustainability follow-up (30 weeks). Process measures reflecting the reach, effectiveness, adoption, implementation, maintenance (RE-AIM) framework, stakeholder reported adaptations of strategies, and formative evaluation data were collected and analyzed. RESULTS: For our smoker-level reach, 103 smokers signed up for the mHealth intervention in-hospital, with minimal decline during sustainability follow-up. While posters + nurse facilitation did not lead to higher reach than posters alone during active implementation (27 vs 30 signed up), it did lead to higher engagement of smokers (85.2% vs 73.3% completion of the full 2-week intervention). TIPS strategy adoption and fidelity varied by unit, including adoption of motivational posters (range: weeks 1 and 5), fidelity of posters (0.4% to 16.2% of posters missing per unit weekly) and internal facilitation of nurse training sessions (average of 2 vs 7.5 by site). Variable maintenance costs of the program totaled US $6.63 (US $683.28/103) per smoker reached. Reported family-member facilitation of mHealth sign-up was an observation of unintended behavior. CONCLUSIONS: TIPS is a feasible and low-cost implementation program that successfully engages smokers in an mHealth intervention and sustains engagement after discharge. Further testing of nurse facilitation and expanding reach to patient family and friends as an implementation strategy is needed.