Leveraging human-centered design and causal pathway diagramming toward enhanced specification and development of innovative implementation strategies: a case example of an outreach tool to address racial inequities in breast cancer screening.

BACKGROUND: Implementation strategies are strategies to improve uptake of evidence-based practices or interventions and are essential to implementation science. Developing or tailoring implementation strategies may benefit from integrating approaches from other disciplines; yet current guidance on how to effectively incorporate methods from other disciplines to develop and refine innovative implementation strategies is limited. We describe an approach that combines community-engaged methods, human-centered design (HCD) methods, and causal pathway diagramming (CPD)-an implementation science tool to map an implementation strategy as it is intended to work-to develop innovative implementation strategies. METHODS: We use a case example of developing a conversational agent or chatbot to address racial inequities in breast cancer screening via mammography. With an interdisciplinary team including community members and operational leaders, we conducted a rapid evidence review and elicited qualitative data through interviews and focus groups using HCD methods to identify and prioritize key determinants (facilitators and barriers) of the evidence-based intervention (breast cancer screening) and the implementation strategy (chatbot). We developed a CPD using key determinants and proposed strategy mechanisms and proximal outcomes based in conceptual frameworks. RESULTS: We identified key determinants for breast cancer screening and for the chatbot implementation strategy. Mistrust was a key barrier to both completing breast cancer screening and using the chatbot. We focused design for the initial chatbot interaction to engender trust and developed a CPD to guide chatbot development. We used the persuasive health message framework and conceptual frameworks about trust from marketing and artificial intelligence disciplines. We developed a CPD for the initial interaction with the chatbot with engagement as a mechanism to use and trust as a proximal outcome leading to further engagement with the chatbot. CONCLUSIONS: The use of interdisciplinary methods is core to implementation science. HCD is a particularly synergistic discipline with multiple existing applications of HCD to implementation research. We present an extension of this work and an example of the potential value in an integrated community-engaged approach of HCD and implementation science researchers and methods to combine strengths of both disciplines and develop human-centered implementation strategies rooted in causal perspective and healthcare equity.

Automated Opt-Out vs Opt-In Patient Outreach Strategies for Breast Cancer Screening: A Randomized Clinical Trial.

Importance: Optimal strategies for population-based outreach for breast cancer screening remain unknown. Objective: To evaluate the effect on breast cancer screening of an opt-out automatic mammography referral strategy compared with an opt-in automated telephone message strategy. Design, Setting, and Participants: This pragmatic randomized clinical trial was conducted from April 2022 to January 2023 at a single Veterans Affairs (VA) medical center. Participants were female veterans aged 45 to 75 years who were eligible for breast cancer screening and enrolled in VA primary care. Intervention: Veterans were randomized 1:1 to receive either an automatic mammography referral (opt-out arm) or an automated telephone call with an option for mammography referral (opt-in arm). Main Outcomes and Measures: The primary outcome was completed mammography 100 days after outreach. Secondary outcomes were scheduled or completed mammography by 100 days after outreach and referrals canceled if mammography was not scheduled within 90 days. Both intention-to-treat analyses and a restricted analysis were conducted. The restricted analysis excluded veterans who were unable to be reached by telephone (eg, a nonworking number) or who were found to be ineligible after randomization (eg, medical record documentation of recent mammography). Results: Of 883 veterans due for mammography (mean [SD] age, 59.13 [8.24] years; 656 [74.3%] had received prior mammography), 442 were randomized to the opt-in group and 441 to the opt-out group. In the intention-to-treat analysis, there was no significant difference in the primary outcome of completed mammography at 100 days between the opt-out and opt-in groups (67 [15.2%] vs 66 [14.9%]; P = .90) or the secondary outcome of completed or scheduled mammography (84 [19%] vs 106 [24.0%]; P = .07). A higher number of referrals were canceled in the opt-out group compared with the opt-in group (104 [23.6%] vs 24 [5.4%]; P < .001). The restricted analysis demonstrated similar results except more veterans completed or scheduled mammography within 100 days in the opt-out group compared with the opt-in group (102 of 388 [26.3%] vs 80 of 415 [19.3%]; P = .02). Conclusions and Relevance: In this randomized clinical trial, an opt-out population-based breast cancer screening outreach approach compared with an opt-in approach did not result in a significant difference in mammography completion but did lead to substantially more canceled mammography referrals, increasing staff burden. Trial Registration: ClinicalTrials.gov Identifier: NCT05313737.

Factors associated with lung cancer risk factor documentation.

Objectives: To identify factors associated with the minimum necessary information to determine an individual's eligibility for lung cancer screening (ie, sufficient risk factor documentation) and to characterize clinic-level variability in documentation. Study Design: Cross-sectional observational study using electronic health record data from an academic health system in 2019. Methods: We calculated the relative risk of sufficient lung cancer risk factor documentation by patient-, provider-, and system-level variables using Poisson regression models, clustering by clinic. We compared unadjusted, risk-adjusted, and reliability-adjusted proportions of patients with sufficient smoking documentation across 31 clinics using logistic regression models and 2-level hierarchical logit models to estimate reliability-adjusted proportions across clinics. Results: Among 20,632 individuals, 60% had sufficient risk factor documentation to determine screening eligibility. Patient-level factors inversely associated with risk factor documentation included Black race (relative risk [RR], 0.70; 95% CI, 0.60-0.81), non-English preferred language (RR, 0.60; 95% CI, 0.49-0.74), Medicaid insurance (RR, 0.64; 95% CI, 0.57-0.71), and nonactivated patient portal (RR, 0.85; 95% CI, 0.80-0.90). Documentation varied across clinics. The reliability-adjusted intraclass correlation coefficient decreased from 11.0% (95% CI, 6.9%-17.1%) to 5.3% (95% CI, 3.2%-8.6%), adjusting for covariates. Conclusions: We found a low rate of sufficient lung cancer risk factor documentation and associations of risk factor documentation based on patient-level factors such as race, insurance status, language, and patient portal activation. Risk factor documentation rates varied across clinics, and only approximately half the variation was explained by factors in our analysis.

A call to integrate health equity into learning health system research training.

In 2016, the Agency for Healthcare Research and Quality (AHRQ) recommended seven domains for training and mentoring researchers in learning health systems (LHS) science. Health equity was not included as a competency domain. This commentary from scholars in the Consortium for Applied Training to Advance the Learning health system with Scholars/Trainees (CATALyST) K12 program recommends that competency domains be extended to reflect growing demands for evidence on health inequities and interventions to alleviate them. We present real-life case studies from scholars in an LHS research training program that illustrate facilitators, challenges, and potential solutions at the program, funder, and research community-level to receiving training and mentorship in health equity-focused LHS science. We recommend actions in four areas for LHS research training programs: (a) integrate health equity throughout the current LHS domains; (b) develop training and mentoring in health equity; (c) establish program evaluation standards for consideration of health equity; and (d) bring forth relevant, extant expertise from the areas of health disparities research, community-based participatory research, and community-engaged health services research. We emphasize that LHS research must acknowledge and build on the substantial existing contributions, mainly by scholars of color, in the health equity field.

Improving smoking history documentation in the electronic health record for lung cancer risk assessment and screening in primary care: A case study.

Improving risk factor documentation in the electronic health record (EHR) is important in order to determine patient eligibility for lung cancer screening. System-level prioritization combined with a clinic-level initiative can improve risk factor documentation rates. Multi-faceted interventions that include training, process improvement, data management, and continuous performance feedback are effective and can be integrated into existing workflows.

Provision of Collaborative Care Model and General Behavioral Health Integration Services in Medicare.

OBJECTIVE: The authors sought to describe the early use of collaborative care model (CoCM) and general behavioral health integration (BHI) billing codes among clinicians. METHODS: Counts and payments were calculated for accepted and denied claims for CoCM and general BHI services delivered to Medicare beneficiaries nationwide in 2017-2018. Payment and utilization data were stratified by clinical specialty and site of service. RESULTS: Overall, 10,294 CoCM and general BHI services were delivered in 2017, totaling $626,292 in payments, and 81,433 CoCM and general BHI services were delivered in 2018, totaling $7,442,985 in payments. Medicare denied 5% of services in 2017 and 32% in 2018. Most CoCM and general BHI services were delivered by primary care physicians in office-based settings. CONCLUSIONS: This study of codes designed to promote BHI revealed an eightfold increase in CoCM and general BHI use between 2017 and 2018. However, denied services represent a barrier, and use among eligible beneficiaries remains low.

Key Features Underlying Low-Value Care Recommendations.

One potential reason that low-value care remains persistent is variation in recommendations created to deter it. A better understanding of key features, and how they differ across a range of recommendations, can offer insight about improvement opportunities. To address this knowledge gap, the authors described 3 features using a broad set of consensus Choosing Wisely recommendations: underlying rationales (ie, avoidance of waste and/or harm), types of services targeted, and types of supportive evidence used. The minority of recommendations were accompanied by rationales invoking waste (36%), harm (17%), and both (40%); 7% of recommendations were accompanied by no rationales. The most commonly targeted service type was diagnostic imaging (31%), while the least commonly targeted service type was clinical referrals/consults (1%). Most recommendations (50%) utilized guidelines as sources. These findings highlight several opportunities to modify low-value care recommendations in order to ultimately strengthen efforts to reduce low-value care.

How to Keep Diffusion of Responsibility From Undermining Value-Based Care.

Diffusion of responsibility describes how individuals can underperform in circumstances of shared accountability. While not well studied in health care settings, this phenomenon is an unintended consequence of the health care sector's complexity and fragmentation. This article considers 3 ways in which monetary and nonmonetary incentives can mitigate negative consequences of diffusion of responsibility. First, incentives should be finite and focused. Second, health care organizations can incentivize both individual and team performance. Third, organizations can use peer comparison feedback to amplify effective incentivizing strategies.

Use of Chronic Care Management Among Primary Care Clinicians.

The Centers for Medicare and Medicade Services (CMS) initiated chronic care management (CCM) codes to reimburse clinicians for coordination activities, but little is known about uptake over time. We find that primary care clinicians drove increasing use over 4 years-a trend that may reflect either new coordination activities or new reimbursements for existing activities. That 5% of chronic care management was denied by Medicare underscores the need for future work evaluating facilitators and barriers to use. Such insight is especially vital given the large number of eligible beneficiaries that have not received chronic care management to date, as well as the limited number of clinicians who currently deliver these services.

What we talk about when we talk about care management.

To support effective care management programs in the context of value-based care, we propose a framework categorizing care management as disease management, utilization management, and care navigation interventions.

Professionalism as the Bedrock of High-Value Care.

"High-value care" has become a popular mantra and a call to action among health system leaders, policymakers, and educators who are advocating widespread practice changes to reduce costs, minimize overuse, and optimize outcomes in the United States. Regrettably, current research does not demonstrate significant progress in improving high-value care. Many investigators have looked to payment models, benefit design, and policy changes as the main levers to reduce low-value care delivery; thus, the prevailing approach to ensuring high-value care has been to identify and limit low-value services. This approach has a clear limitation: The number of identified low-value services has become too high for individual physicians to track. Using professionalism as a key driver of practice change presents an important opportunity to shift from a deficit-based reactive model to one that is proactive and uses the concepts of intrinsic motivation and medical stewardship to effect high-value care. Transforming aspirational values such as professionalism into actions that engage all physician stakeholders regardless of their position or influence, and regardless of system agility or payment structure, has the potential for bringing about real change. These concepts can be integrated into medical education, introduced early in training, and modeled by educators to drive long-term sustainable change. Physicians can, and should, embrace professionalism as the motivation for redesigning care. Payment reform incentives that align with their professional values should follow and encourage these efforts; that is, payment reform should not be the impetus for redesigning care.