Barriers and facilitators to screen for and address social needs in primary care practices in Maryland: a qualitative study.

Background: Social needs screening can help modify care delivery to meet patient needs and address non-medical barriers to optimal health. However, there is a need to understand how factors that exist at multiple levels of the healthcare ecosystem influence the collection of these data in primary care settings. Methods: We conducted 20 semi-structured interviews involving healthcare providers and primary care clinic staff who represented 16 primary care practices. Interviews focused on barriers and facilitators to awareness of and assistance for patients' social needs in primary care settings in Maryland. The interviews were coded to abstract themes highlighting barriers and facilitators to conducting social needs screening. The themes were organized through an inductive approach using the socio-ecological model delineating individual-, clinic-, and system-level barriers and facilitators to identifying and addressing patients' social needs. Results: We identified several individual barriers to awareness, including patient stigma about verbalizing social needs, provider frustration at eliciting needs they were unable to address, and provider unfamiliarity with community-based resources to address social needs. Clinic-level barriers to awareness included limited appointment times and connecting patients to appropriate community-based organizations. System-level barriers to awareness included navigating documentation challenges on the electronic health record. Conclusions: Overcoming barriers to effective screening for social needs in primary care requires not only practice- and provider-level process change but also an alignment of community resources and advocacy of policies to redistribute community assets to address social needs.

Supporting ColoREctal Equitable Navigation (SCREEN): a protocol for a stepped-wedge cluster randomized trial for patient navigation in primary care.

BACKGROUND: Black individuals in the United States (US) have a higher incidence of and mortality from colorectal cancer (CRC) compared to other racial groups, and CRC is the second leading cause of death among Hispanic/Latino populations in the US. Patient navigation is an evidence-based approach to narrow inequities in cancer screening among Black and Hispanic/Latino patients. Despite this, limited healthcare systems have implemented patient navigation for screening at scale. METHODS: We are conducting a stepped-wedge cluster randomized trial of 15 primary care clinics with six steps of six-month duration to scale a patient navigation program to improve screening rates among Black and Hispanic/Latino patients. After six months of baseline data collection with no intervention we will randomize clinics, whereby three clinics will join the intervention arm every six months until all clinics cross over to intervention. During the intervention roll out we will conduct training and education for clinics, change infrastructure in the electronic health record, create stakeholder relationships, assess readiness, and deliver iterative feedback. Framed by the Practical, Robust Implementation Sustainment Model (PRISM) we will focus on effectiveness, reach, provider adoption, and implementation. We will document adaptations to both the patient navigation intervention and to implementation strategies. To address health equity, we will engage multilevel stakeholder voices through interviews and a community advisory board to plan, deliver, adapt, measure, and disseminate study progress. Provider-level feedback will include updates on disparities in screening orders and completions. DISCUSSION: Primary care clinics are poised to close disparity gaps in CRC screening completion but may lack an understanding of the magnitude of these gaps and how to address them. We aim to understand how to tailor a patient navigation program for CRC screening to patients and providers across diverse clinics with wide variation in baseline screening rates, payor mix, proximity to specialty care, and patient volume. Findings from this study will inform other primary care practices and health systems on effective and sustainable strategies to deliver patient navigation for CRC screening among racial and ethnic minorities. TRIAL REGISTRATION: NCT06401174.

Understanding social needs screening and demographic data collection in primary care practices serving Maryland Medicare patients.

BACKGROUND: Health outcomes are strongly impacted by social determinants of health, including social risk factors and patient demographics, due to structural inequities and discrimination. Primary care is viewed as a potential medical setting to assess and address individual health-related social needs and to collect detailed patient demographics to assess and advance health equity, but limited literature evaluates such processes. METHODS: We conducted an analysis of cross-sectional survey data collected from n = 507 Maryland Primary Care Program (MDPCP) practices through Care Transformation Requirements (CTR) reporting in 2022. Descriptive statistics were used to summarize practice responses on social needs screening and demographic data collection. A stepwise regression analysis was conducted to determine factors predicting screening of all vs. a targeted subset of beneficiaries for unmet social needs. RESULTS: Almost all practices (99%) reported conducting some form of social needs screening and demographic data collection. Practices reported variation in what screening tools or demographic questions were employed, frequency of screening, and how information was used. More than 75% of practices reported prioritizing transportation, food insecurity, housing instability, financial resource strain, and social isolation. CONCLUSIONS: Within the MDPCP program there was widespread implementation of social needs screenings and demographic data collection. However, there was room for additional supports in addressing some challenging social needs and increasing detailed demographics. Further research is needed to understand any adjustments to clinical care in response to identified social needs or application of data for uses such as assessing progress towards health equity and the subsequent impact on clinical care and health outcomes.

A novel voice interactive sleep log: concurrent validity with actigraphy and sleep diaries.

This is a preliminary validation study of a novel approach to an interactive sleep data collection platform. We compared actigraphy, paper and pencil logs, and the novel voice interactive sleep log in a sample of 17 breast cancer survivors with insomnia symptoms and also report qualitative data on acceptability. We used correlation coefficients and Bland Altman plots to evaluate convergent validity across these measures and report means for acceptability ratings. The sleep log data collected via paper and pencil vs the voice interactive measure had comparable mean values and variable validity coefficients across key sleep variables compared to actigraphy except for wake after sleep onset, where the voice-interactive system had fair concurrent validity with actigraphy. The voice interactive sleep log has several advantages over pencil and paper logs and actigraphy as it reduces patient burden, automatically calculates sleep variables, documents the timeliness of response and provides daily feedback to respondents on calculated sleep metrics. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Identifier: NCT05233800. CITATION: Lewin D, Starling CM, Zhou ES, Greenberg D, Shaw C, Arem H. A novel voice interactive sleep log: concurrent validity with actigraphy and sleep diaries. J Clin Sleep Med. 2024;20(2):309-312.

Testing delivery of components of cognitive behavioral therapy for insomnia to breast cancer survivors by smart speaker: a study protocol.

BACKGROUND: Insomnia is common in breast cancer survivors (BCS), affecting an estimated 30-50% of the 3.8 million BCS in the US. Insomnia is associated with health consequences for cardiometabolic and immune systems, neurobehavioral function, depression, fatigue, and quality of life and may put BCS at particular risk. While pharmacotherapy for insomnia may address symptoms in the short-term, cognitive behavioral therapy for insomnia (CBT-I) is considered the gold standard insomnia treatment. We describe our protocol to determine the efficacy of voice-activated delivery of CBT-I components on insomnia symptoms compared to a sleep education control among BCS. METHODS: We will conduct a 6-week, randomized controlled trial with two arms. Intervention arm participants will receive a smart speaker device and will be asked to engage with the program daily, using a voice-activated speaker with an accompanying smart-phone app. Control participants will have access to a website with basic information about CBT-I, sleep, and breast cancer survivorship and will be asked to engage with the website as desired. DISCUSSION: Our primary outcome is the Insomnia Severity Index total score. Secondary outcomes include sleep diary outcomes (sleep efficiency, wake after sleep onset, sleep onset latency, total sleep time, and sleep quality). This study will provide evidence on a promising modality to deliver elements of CBT-I for BCS experiencing insomnia. Trial Registration ClinicalTrials.gov NCT05233800 Released 3/25/2022.