Luedke, Tabitha Crystal

Abstract Background Despite the reported benefits, lung cancer screening (LCS) uptake remains alarmingly low in comparison to other cancer screening programs. Objective To develop and evaluate an automated, electronic health record (EHR)-embedded LCS outreach program designed to increase screening uptake while minimizing workload for referring providers and schedulers. Methods We developed an automated outreach and referral program at two Mayo Clinic campuses (Rochester [RST] and northwest Wisconsin [NWW]) coupled with a streamlined virtual care delivery process. Eligible patients were identified based on the information in the EHR regarding US Preventive Services Task Force guidelines for screening and were contacted through either a patient portal message, letter, or both. Outreach included LCS educational materials and self-scheduling instructions for a telephone or video shared decision-making (SDM) visit. During the visit, a licensed care team member discussed the risks and benefits of a low dose computed tomography (LDCT) scan with patients who could choose to enroll in the Lung Cancer Screening Program or decline. Results During the study period, 8,845 eligible patients (RST: 2201, NWW: 6644) were contacted using automated portal messages, letters, or both. Among the RST cohort, 2,156 portal messages and 1,060 letters were distributed in comparison to 7,642 portal messages, 6,441 letters, and 618 text messages in the NWWI cohort. The study showed increase in shared decision-making visits completion and screenings for eligible patients across both groups. Portal engagement was higher among the RST group 75.4% than 55.8% in the NWWI group, as was digital brochure access (14.1% vs 6.5%). Scheduling for share-decision-making visits was noted to be higher among the RST group (22% vs 13.6%), though visit completion rates were similar across sites (12.6 vs 13.6%). A lower opt-out rate was noted among the RST group (12.6% vs. 14.3%). Collectively, both campuses demonstrated meaningful patient engagement. Conclusion The automated outreach program effectively increased lung cancer screening engagement and uptake for eligible patients without adding significant administrative burden on primary care providers and clinical staff. Observed differences in engagement between sites, as well as relatively low completion rates highlight the need for further investigation into contextual and operational factors influencing program performance. This abstract is funded by: none

Abstract Introduction Cognitive behavior therapy for insomnia (CBT-I), a first-line therapy for patients with chronic insomnia disorder (ChID), is underutilized due to reduced access to trained providers and other barriers. We developed an interactive care plan (ICP) combining individual aspects of CBT-I. This ICP, which integrates with the electronic health record (EHR), is designed to deliver personalized and scalable CBT-I to patients with ChID. We report data from initial implementation and evaluation of a ChID ICP deployed at a tertiary sleep medicine clinic. Methods The ICP was developed following patient and provider interviews and focus groups. Patients diagnosed with ChID were offered enrollment and engaged in the ICP through an app. The ICP has embedded logic that may escalate care or offer an exit from the program, depending upon the patient’s response to questions. Key variables ascertained from the patient included sleep efficiency (SE), sleep timing and the Insomnia Severity Index (ISI), and how satisfied they were with their progress (Likert scale). We also measured In Basket messaging related to use of the ICP. Results A total of 222 patients [57% female, age=56.4±15.9 years (average ±SD), 92.7% white] were enrolled in the initial 120 days of ICP implementation. Most referrals were initiated by physicians or advanced practitioners (77.9%). ISI at initiation was 15±5.18 and SE was 74.55±16.65%. Patients spent 35.9±26.25 days engaging with the ICP. The ISI score at 28 days was 12.89±4.98 and SE was 78.9±13.4% with both showing significant improvement from baseline (p=0.013; p=0.002; respectively). Self-rated satisfaction with progress did not significantly correlate with actual improvement in ISI or SE (p>0.05). The ICP generated 3.89±2.3 In Basket messages per patient. Conclusion Patients who actively engaged with the ICP showed significant improvements in insomnia severity and sleep efficiency. While a majority of the patients were neutral towards the ICP and only a small minority expressed dissatisfaction, these data indicate that the ICP will have clinical utility in busy sleep medicine practices with reduced access to behavioral sleep specialists. Support (If Any)