Implementing a Metabolism-Informed Approach for Smoking Cessation in an Alaska Tribal Health System: Study Protocol for a Single-Arm Implementation Pilot Trial

Background

Individualized treatment for commercial tobacco smoking cessation, such as through the utilization of the nicotine metabolite ratio (NMR), offers substantial clinical benefit. NMR is a metabolism-informed biomarker that can be used to guide medication selection. NMR testing is particularly promising for tobacco cessation efforts in populations with high rates of smoking, such as some Alaska Native and American Indian (AN/AI) communities. To date, no prior study has evaluated the implementation of NMR-guided tobacco cessation with AN/AI populations.

Methods

The present "QUIT" protocol is a two-phase study that will occur at Southcentral Foundation (SCF), an Alaska Native-owned health system, serving 70,000 AN/AI people, based in Anchorage, Alaska. In Phase one, qualitative interviews with customer-owners (patients), providers and administrators (n = 36) and a 10-participant beta-test will be used to refine a strategy to implement NMR testing in the health system. Phase two will involve a single-arm pilot trial (n = 50) and qualitative interviews throughout data collection (n = 48) to evaluate the implementation strategy and explore the real-world acceptability and feasibility of NMR testing to guide tobacco cessation with AN/AI populations.

Discussion

This study utilizes a community-based participatory approach to refine and implement a nicotine metabolism-informed smoking cessation program in a Tribal healthcare setting. The process and findings from this study will reflect the importance of customer-owner choice and honor the lived experience involved in quitting commercial tobacco. Pilot study data will inform the effect and sample sizes required for a future pragmatic trial of NMR-guided smoking cessation.

Engaging Stakeholders in Social Determinants of Health Quality Improvement Efforts

Background Social determinants of health (SDOH) affect around 70% of health outcomes. However, it is not clear how to integrate SDOH into clinical practice and health care policy. This quality improvement project engaged stakeholders to identify SDOH factors relevant in an Alaska Native/American Indian health system and how to integrate SDOH data into electronic health records (EHRs). Methods The authors utilized an internal steering committee of clinical leadership; conducted focus groups with patients, practitioners, administrative staff, and clinical leaders; developed programmatic workgroups to engage with the health system; and coordinated with allied health systems. Results The Steering Committee members prioritized uses of SDOH data. Focus groups grounded work in local community values and refined SDOH subdomains. Workgroups developed data visualizations, such as EHR dashboards, to automate data collection for reporting and assess performance metrics. External stakeholders helped innovate ways to utilize SDOH data through community partnerships and advocacy work. Stakeholders liked how the holistic approach of SDOH looks at whole-person wellness and how it can improve patient-practitioner relationships and reduce health disparities. They were concerned about outdated SDOH data and how some sensitive SDOH could lead to unanticipated harms. Leaders emphasized developing an actionable, strengths-based SDOH framework. Conclusions Many initiatives call for integrating SDOH into health care and EHRs. Engaging diverse audiences helps guide the work. This engagement may be particularly helpful for minority-serving health systems. SDOH data collection can be stigmatizing for patients. Stakeholder engagement can mitigate that by identifying which SDOH data elements to prioritize, and how to utilize them.