Differences in provider approach to initiating and titrating guideline directed medical therapy in heart failure with reduced ejection fraction.

BACKGROUND: Despite the strong evidence supporting guideline-directed medical therapy (GDMT) in patients with heart failure with reduced ejection fraction (HFrEF), prescription rates in clinical practice are still lacking. METHODS: A survey containing 20 clinical vignettes of patients with HFrEF was answered by a national sample of 127 cardiologists and 68 internal/family medicine physicians. Each vignette had 4-5 options for adjusting GDMT and the option to make no medication changes. Survey respondents could only select one option. For analysis, responses were dichotomized to the answer of interest. RESULTS: Cardiologists were more likely to make GDMT changes than general medicine physicians (91.8% vs. 82.0%; OR 1.84 [1.07-3.19]; p = 0.020). Cardiologists were more likely to initiate beta-blockers (46.3% vs. 32.0%; OR 2.38 [1.18-4.81], p = 0.016), angiotensin receptor blocker/neprilysin inhibitor (ARNI) (63.8% vs. 48.1%; OR 1.76 [1.01-3.09], p = 0.047), and hydralazine and isosorbide dinitrate (HYD/ISDN) (38.2% vs. 23.7%; OR 2.47 [1.48-4.12], p < 0.001) compared to general medicine physicians. No differences were found in initiating angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (ACEi/ARBs), initiating mineralocorticoid receptor antagonist (MRA), sodium-glucose transporter protein 2 (SGLT2) inhibitors, digoxin, or ivabradine. CONCLUSIONS: Our results demonstrate cardiologists were more likely to adjust GDMT than general medicine physicians. Future focus on improving GDMT prescribing should target providers other than cardiologists to improve care in patients with HFrEF.

A Physical Activity and Diet Just-in-Time Adaptive Intervention to Reduce Blood Pressure: The myBPmyLife Study Rationale and Design.

BACKGROUND: Smartphone applications and wearable devices are promising mobile health interventions for hypertension self-management. However, most mobile health interventions fail to use contextual data, potentially diminishing their impact. The myBPmyLife Study is a just-in-time adaptive intervention designed to promote personalized self-management for patients with hypertension. METHODS AND RESULTS: The study is a 6-month prospective, randomized-controlled, remotely administered trial. Participants were recruited from the University of Michigan Health in Ann Arbor, Michigan or the Hamilton Community Health Network, a federally qualified health center network in Flint, Michigan. Participants were randomized to a mobile application with a just-in-time adaptive intervention promoting physical activity and lower-sodium food choices as well as weekly goal setting or usual care. The mobile study application encourages goal attainment through a central visualization displaying participants' progress toward their goals for physical activity and lower-sodium food choices. Participants in both groups are followed for up for 6 months with a primary end point of change in systolic blood pressure. Exploratory analyses will examine the impact of notifications on step count and self-reported lower-sodium food choices. The study launched on December 9, 2021, with 484 participants enrolled as of March 31, 2023. Enrollment of participants was completed on July 3, 2023. After 6 months of follow-up, it is expected that results will be available in the spring of 2024. CONCLUSIONS: The myBPmyLife study is an innovative mobile health trial designed to evaluate the effects of a just-in-time adaptive intervention focused on improving physical activity and dietary sodium intake on blood pressure in diverse patients with hypertension. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT05154929.

Risk scores for major bleeding from direct oral anticoagulants: comparing predictive performance in patients with atrial fibrillation.

Background: Despite direct oral anticoagulants (DOACs) being safer than warfarin for stroke prevention in atrial fibrillation (AF), major bleeding concerns persist. Most bleeding risk scores predate DOAC approval. Objectives: This study aimed to compare the Age, history of Bleeding, and non-bleeding related Hospitalisation [ABH] score's performance-derived for DOAC-treated patients-with those of 5 other scores (Anticoagulation and Risk Factors in Atrial Fibrillation [ATRIA], Hypertension, Abnormal renal/liver function, Stroke, Bleeding history or predisposition, Labile international normalized ratio, Elderly [>65 years], Drugs/alcohol concomitantly [HAS-BLED], Hepatic, Hepatic or Renal Disease, Ethanol Abuse, Malignancy, Older Age, Reduced Platelet Count or Function, Re-Bleeding, Hypertension, Anemia, Genetic Factors, Excessive Fall Risk and Stroke [HEMORR2HAGES], Outcomes Registry for Better Informed Treatment of Atrial Fibrillation [ORBIT-AF], and Congestive heart failure, Hypertension, Age ≥75 [doubled], Diabetes, Stroke [doubled]-Vascular disease, Age 65-74, Sex category [CHA2DS2-VASc]) in predicting DOAC-related major bleeding in patients with AF. Methods: In this retrospective study of 2364 patients with nonvalvular AF on rivaroxaban or apixaban (median age, 68.3 years; 32.1% women), International Society on Thrombosis and Haemostasis-defined major bleeding (incidence, 4.1%; n = 97) was analyzed. C-statistics from time-dependent receiver operating characteristic (ROC) curves for continuous risk scores were the primary comparison metric, but other metrics, such as decision curves, were also compared. Results: At 100 days, C-statistics were highest for ORBIT-AF and ATRIA (0.62 and 0.61, respectively, with other scores having an area under the ROC curve of <0.60); some significant differences favored ORBIT-AF. At 1100 days, C-statistics remained highest for ORBIT-AF and ATRIA (0.62 and 0.61, respectively, with other scores having an area under the ROC curve of <0.60 again), and ORBIT-AF had significantly higher C-statistics than those for all other risk scores (P < .05), except for ATRIA. At 2100 days, all C-statistics were <0.60 with no significant differences. Decision curves showed the greatest net benefit for ORBIT-AF and ATRIA at 100 days and for ATRIA at 1100 days, with no discernible net benefit for any of the scores at 2100 days. Conclusion: ORBIT-AF and ATRIA provided the best bleeding risk prediction within the first 1100 days. None of the 6 bleeding risk scores provided predictive benefit over 2100 days of DOAC treatment.

Use of Human-Centered Design Methodology to Develop a Digital Toolkit to Optimize Heart Failure Guideline-Directed Medical Therapy.

BACKGROUND: Guideline-directed medical therapies (GDMTs) improve quality of life and health outcomes for patients with heart failure (HF). However, GDMT utilization is suboptimal among patients with HF. OBJECTIVE: The aims of this study were to engage key stakeholders in semistructured, virtual human-centered design sessions to identify challenges in GDMT optimization posthospitalization and inform the development of a digital toolkit aimed at optimizing HF GDMTs. METHODS: For the human-centered design sessions, we recruited (a) clinicians who care for patients with HF across 3 hospital systems, (b) patients with HF with reduced ejection fraction (ejection fraction ≤ 40%) discharged from the hospital within 30 days of enrollment, and (c) caregivers. All participants were 18 years or older, English speaking, with Internet access. RESULTS: A total of 10 clinicians (median age, 37 years [interquartile range, 35-41], 12 years [interquartile range, 10-14] of experience caring for patients with HF, 80% women, 50% White, 50% nurse practitioners) and three patients and one caregiver (median age 57 years [IQR: 53-60], 75% men, 50% Black, 75% married) were included. Five themes emerged from the clinician sessions on challenges to GDMT optimization (eg, barriers to patient buy-in). Six themes on challenges (eg, managing medications), 4 themes on motivators (eg, regaining independence), and 3 themes on facilitators (eg, social support) to HF management arose from the patient and caregiver sessions. CONCLUSIONS: The clinician, patient, and caregiver insights identified through human-centered design will inform a digital toolkit aimed at optimizing HF GDMTs, including a patient-facing smartphone application and clinician dashboard. This digital toolkit will be evaluated in a multicenter, clinical trial.

Role of Individual Clinician Authority in the Implementation of Informatics Tools for Population-Based Medication Management: Qualitative Semistructured Interview Study.

BACKGROUND: Direct oral anticoagulant (DOAC) medications are frequently associated with inappropriate prescribing and adverse events. To improve the safe use of DOACs, health systems are implementing population health tools within their electronic health record (EHR). While EHR informatics tools can help increase awareness of inappropriate prescribing of medications, a lack of empowerment (or insufficient empowerment) of nonphysicians to implement change is a key barrier. OBJECTIVE: This study examined how the individual authority of clinical pharmacists and anticoagulation nurses is impacted by and changes the implementation success of an EHR DOAC Dashboard for safe DOAC medication prescribing. METHODS: We conducted semistructured interviews with pharmacists and nurses following the implementation of the EHR DOAC Dashboard at 3 clinical sites. Interview transcripts were coded according to the key determinants of implementation success. The intersections between individual clinician authority and other determinants were examined to identify themes. RESULTS: A high level of individual clinician authority was associated with high levels of key facilitators for effective use of the DOAC Dashboard (communication, staffing and work schedule, job satisfaction, and EHR integration). Conversely, a lack of individual authority was often associated with key barriers to effective DOAC Dashboard use. Positive individual authority was sometimes present with a negative example of another determinant, but no evidence was found of individual authority co-occurring with a positive instance of another determinant. CONCLUSIONS: Increased individual clinician authority is a necessary antecedent to the effective implementation of an EHR DOAC Population Management Dashboard and positively affects other aspects of implementation. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13012-020-01044-5.

Facilitators and barriers to blood pressure telemonitoring: A mixed-methods study.

Background: Telemonitoring of blood pressure (BP) may improve BP control. However, many patients are not using BP telemonitoring due to personal, technological, and health system barriers. Individuals are required to have electronic health literacy (e-HL), defined as knowledge and skills to use technology services effectively, such as BP telemonitoring. Objective: The objective was to determine the facilitators and barriers experienced by patients with hypertension in telemonitoring of BP using the e-HL framework (e-HLF). Methods: This study was a prospective mixed-methods study using a convergent design. We recruited a convenience sample of 21 patients with hypertension. The qualitative section was online or phone individual in-depth interviews based on the e-HLF, which has seven domains. The quantitative section was an online survey consisting of demographics, an e-HL questionnaire, and patient-provider communication preferences. A joint display was used in the mixed-methods analysis. Results: Five themes including knowledge, motivation, skills, systems, and behaviors along with 28 subthemes comprising facilitators or barriers of BP telemonitoring were identified. The mixed-methods results showed concordance between the participants' e-HL status and their experiences in the ability to actively engage with BP monitoring and managing digital services (domain 3) of the e-HLF. Other e-HL domains showed discordance. Conclusion: Patients may engage with BP telemonitoring when they feel the usefulness of concurrent access to telemonitoring services that suit their needs.

Implementing pharmacist-prescriber collaboration to improve evidence-based anticoagulant use: a randomized trial.

BACKGROUND: Direct oral anticoagulant medications are commonly used to treat or prevent thrombotic conditions, such as pulmonary embolism, deep vein thrombosis, and atrial fibrillation. However, up to 10-15% of patients receiving these medications get unsafe doses based on a patient's kidney or liver function, potential interactions with other medications, and indication for taking the medication. Alert systems may be beneficial for improving evidence-based prescribing, but can be burdensome and are not currently able to provide monitoring after the initial prescription is written. METHODS/DESIGN: This study will improve upon existing alert systems by testing novel medication alerts that encourage collaboration between prescribers (e.g., physicians, nurse practitioners, physician assistants) and expert pharmacists working in anticoagulation clinics. The study will also improve upon the existing alert system by incorporating dynamic long-term monitoring of patient needs and encouraging collaboration between prescribers and expert pharmacists working in anticoagulation clinics. Incorporating state-of-the-art user-centered design principles, prescribing healthcare providers will be randomized to different types of electronic health record medication alerts when a patient has an unsafe anticoagulant prescription. We will identify which alerts are most effective at encouraging evidence-based prescribing and will test moderators to tailor alert delivery to when it is most beneficial. The aims of the project are to (1) determine the effect of notifications targeting existing inappropriate DOAC prescriptions; (2) examine the effect of alerts on newly prescribed inappropriate DOACs; and (3) examine changes in the magnitude of effects over time for both the new prescription alerts and existing prescription notifications for inappropriate DOACs over the 18-month study period. DISCUSSION: Findings from this project will establish a framework for implementing prescriber-pharmacist collaboration for high-risk medications, including anticoagulants. If effectively implemented at the more than 3000 anticoagulation clinics that exist nationally, hundreds of thousands of patients taking direct oral anticoagulants stand to benefit from safer, evidence-based healthcare. TRIALS REGISTRATION: NCT05351749.

Physician Perspectives on the Use of Beta Blockers in Heart Failure With Preserved Ejection Fraction.

ß-blockers are commonly used in heart failure with preserved ejection fraction (HFpEF), even in the absence of a compelling indication and despite the potential to cause harm. Identifying reasons for ß-blocker prescription in HFpEF could permit the development of strategies to reduce unnecessary use and potentially improve medication prescribing patterns in this vulnerable population. We administered an online survey regarding ß-blocker prescribing behavior to physicians trained in internal medicine or geriatrics (noncardiology physicians) and to cardiologists at 2 large academic medical centers. The survey assessed the reasons for ß-blocker initiation, agreement regarding initiation and/or continuation of ß-blockers by another clinician, and deprescribing behavior. The response rate was 28.2% (n = 231). Among respondents, 68.2% reported initiating ß-blockers in patients with HFpEF. The most common reason for initiating a ß-blocker was for treatment of an atrial arrhythmia. Notably, 23.7% of physicians reported initiating a ß-blocker without an evidence-based indication. When a ß-blocker was considered not necessary, 40.1% of physicians reported they were rarely or never willing to deprescribe. The most common reason for not deprescribing a ß-blocker when the physician felt that a ß-blocker was unnecessary was the concern about interfering with another physicians' treatment plan (76.6%). In conclusion, a significant proportion of noncardiology physicians and cardiologists report prescribing ß-blockers to patients with HFpEF, even when evidence-based indications are absent, and rarely deprescribe ß-blockers in these scenarios.

A Community Participatory Approach to Creating Contextually Tailored mHealth Notifications: myBPmyLife Project.

Just-in-time adaptive interventions (JITAIs) are a novel approach to mobile health (mHealth) interventions, sending contextually tailored behavior change notifications to participants when they are more likely to engage, determined by data from wearable devices. We describe a community participatory approach to JITAI notification development for the myBPmyLife Project, a JITAI focused on decreasing sodium consumption and increasing physical activity to reduce blood pressure. Eighty-six participants were interviewed, 50 at a federally qualified health center (FQHC) and 36 at a university clinic. Participants were asked to provide encouraging physical activity and low-sodium diet notifications and provided feedback on researcher-generated notifications to inform revisions. Participant notifications were thematically analyzed using an inductive approach. Participants noted challenging vocabulary, phrasing, and culturally incongruent suggestions in some of the researcher-generated notifications. Community-generated notifications were more direct, used colloquial language, and contained themes of grace. The FQHC participants' notifications expressed more compassion, religiosity, and addressed health-related social needs. University clinic participants' notifications frequently focused on office environments. In summary, our participatory approach to notification development embedded a distinctive community voice within our notifications. Our approach may be generalizable to other communities and serve as a model to create tailored mHealth notifications to their focus population.

Nationwide Implementation of a Population Management Dashboard for Monitoring Direct Oral Anticoagulants: Insights From the Veterans Affairs Health System.

BACKGROUND: Direct oral anticoagulants are first-line therapy for common thrombotic conditions, including atrial fibrillation and venous thromboembolism. Despite their strong efficacy and safety profile, evidence-based prescribing can be challenging given differences in dosing based on indication, renal function, and drug-drug interactions. The Veterans Health Affairs developed and implemented a population management dashboard to support pharmacist review of anticoagulant prescribing. The dashboard includes information about direct oral anticoagulants and dose prescribed, renal function, age, and weight, potential interacting medications, and the need for direct oral anticoagulant medication refills. It is a stand-alone system. METHODS: Using login data from the dashboard, nationwide implementation was evaluated using elements from the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework. RESULTS: Between August 2016 and June 2020, 150/164 sites within the Veterans Health Affairs system used the dashboard, averaging 1875 patients per site. The dashboard was made available to sites on a staggered basis. Moderate or high adoption, defined as at least one login on at least 2 separate days per month, began slowly with 3/5 sites in the pilot phase but rapidly grew to 142/150 (94.7%) sites by June 2020. The average number of unique users per site increased from 2.4 to 7.5 over the study period. Moderate to high adoption of the dashboard's use was maintained for > 6 months in 126/150 (84.0%) sites by the end of the study period. CONCLUSIONS: There was rapid and sustained implementation and adoption of a population health dashboard for evidence-based anticoagulant prescribing across the national United States Veterans Health Administration health system. The impact of this tool on clinical outcomes and strategies to replicate this care model in other health systems will be important for broad dissemination and uptake.

Consumer perceptions of the OTC Coach: A clinical decision support system aimed at improving the safe use of over-the-counter medications.

BACKGROUND: There are more than 300,000 over-the-counter (OTC) medications on the market making it challenging for consumers to select safe and effective products to treat their minor ailments. OBJECTIVE: We sought to identify consumer perceptions about the use of a clinical decision support system, OTC Coach, to help them make informed decisions about OTC medications. METHODS: We developed a prototype of the OTC Coach that focused on treating fever in adults. We recruited community members who were 18 years and older via our institutional research website. Participants completed a 30- to 45-minute video interview in which they initially discussed their perceptions and experiences of using OTC medications. We subsequently shared the OTC Coach prototype and sought feedback related to the content and format of the tool. We asked participants to rate their likelihood of using the tool to treat a new symptom (10-point Likert scale, 1 = not at all to 10 = extremely likely) and conducted a qualitative and quantitative analysis of these findings. RESULTS: Among 20 participants, 11 (55%) were female, 10 (50%) were white, and the mean age was 47.9 years (range 18-81 years). Participants reported that the tool was easy to understand. The questions reported as being extremely important by most participants were allergies (n = 17, 85%), increased risk of bleeding (n = 15, 75%), temperature (n = 12, 60%), and duration of symptoms (n = 12, 60%). Three-fourths of participants (n = 15) selected a score of 7 or higher when asked about their likelihood of using this tool for a new symptom. Concerns that were raised included ensuring that the tool accounted for their personal health history, data storage, and accessibility. CONCLUSION: Consumers were interested in using an electronic tool to determine if their symptoms can be self-treated and, if so, which medications are appropriate.

Development and Pilot Testing of the OTC Coach Software to Support Student Pharmacist Learning.

Description of the problem: Pharmacy students are expected to learn how condition and patient-specific factors influence medication decision-making. Our objective was to create an interactive learning tool that would support students as they learn how individual factors change over-the-counter (OTC) medication recommendations. Description of the innovation: OTC Coach was created to allow student pharmacists to practice making recommendations about OTC medications. First year student pharmacists enrolled in a required self-care therapeutics course were given access to the optional OTC Coach, which included electronic decision algorithms for 10 topics. Student perceptions were collected via an online survey. Critical analysis: Two-thirds of the first-year students enrolled in the self-care therapeutics course activated their OTC Coach account (n=53/79, 67%). Among the students who completed the survey and reported using the tool (n=60/75, 80%), there was agreement that it help them learn the course material (78%), increased their confidence in making appropriate therapeutic recommendations (78%), increased their confidence when answering examination questions (63%), and improved their examination performance (61%). Next steps: Implementing an electronic tool positively supported student learning about OTC medication recommendations, according to student self-report. The tool is being expanded to include an option for students to generate a series of scenarios with randomized patient and condition factors to further allow students to efficiently practice making repeated patient-centered recommendations.

Eight pharmacokinetic genetic variants are not associated with the risk of bleeding from direct oral anticoagulants in non-valvular atrial fibrillation patients.

Background: Atrial fibrillation (AF) is the leading cause of ischemic stroke and treatment has focused on reducing this risk through anticoagulation. Direct Oral Anticoagulants (DOACs) are the first-line guideline-recommended therapy since they are as effective and overall safer than warfarin in preventing AF-related stroke. Although patients bleed less from DOACs compared to warfarin, bleeding remains the primary safety concern with this therapy. Hypothesis: Genetic variants known to modify the function of metabolic enzymes or transporters involved in the pharmacokinetics (PK) of DOACs could increase the risk of bleeding. Aim: To assess the association of eight, functional PK-related single nucleotide variants (SNVs) in five genes (ABCB1, ABCG2, CYP2J2, CYP3A4, CYP3A5) with the risk of bleeding from DOACs in non-valvular AF patients. Methods: A retrospective cohort study was carried out with 2,364 self-identified white non-valvular AF patients treated with either rivaroxaban or apixaban. Genotyping was performed with Illumina Infinium CoreExome v12.1 bead arrays by the Michigan Genomics Initiative biobank. The primary endpoint was a composite of major and clinically relevant non-major bleeding. Cox proportional hazards regression with time-varying analysis assessed the association of the eight PK-related SNVs with the risk of bleeding from DOACs in unadjusted and covariate-adjusted models. The pre-specified primary analysis was the covariate-adjusted, additive genetic models. Six tests were performed in the primary analysis as three SNVs are in the same haplotype, and thus p-values below the Bonferroni-corrected level of 8.33e-3 were considered statistically significant. Results: In the primary analysis, none of the SNVs met the Bonferroni-corrected level of statistical significance (all p > 0.1). In exploratory analyses with other genetic models, the ABCB1 (rs4148732) GG genotype tended to be associated with the risk of bleeding from rivaroxaban [HR: 1.391 (95%CI: 1.019-1.900); p = 0.038] but not from apixaban (p = 0.487). Conclusion: Eight functional PK-related genetic variants were not significantly associated with bleeding from either rivaroxaban or apixaban in more than 2,000 AF self-identified white outpatients.

Patient self-assessment of urine dipsticks to estimate sodium intake in patients with hypertension.

BACKGROUND & AIMS: Dietary sodium restriction is recommended by current guidelines to reduce blood pressure and decrease the risk of cardiovascular disease. Current methods to assess sodium intake such as dietary questionnaires and 24-h urine collection are cumbersome, and the results are not readily available to patients. In this analysis, we evaluated using chloride and creatinine dipsticks as a convenient method to monitor sodium intake, in addition to patients' ability to practice this method independently. METHODS: This is a post-hoc analysis of a previously published trial, LowSalt4Life, that measured change in sodium consumption over 8 weeks to evaluate the effect of a just-in-time adaptive mobile application intervention. Participants were instructed on how to complete and interpret Quantab® chloride and Multistix® PRO 10 LS creatinine dipstick measurements at home and upload a picture of their results. A pharmacy student interpreted the chloride dipsticks, and intraclass correlation coefficients (ICC) were calculated to assess interrater reliability between the participant and pharmacy student. Predicted 24-h sodium values were calculated by the Kawasaki and Mann methods and compared to actual 24-h sodium excretion. RESULTS: There was a strong interobserver correlation between interpretations of the chloride dipsticks, with the ICC values 0.90, 0.97, 0.99, and 0.98 at weeks 2, 4, 6, and 8, respectively. There was a moderate correlation between the dipstick predicted 24-h sodium excretion and actual 24-h sodium excretion at baseline (r = 0.506; P < 0.001), and a weak correlation at week 8 (r = 0.187; P = 0.217). When corrected creatinine values were used, the dipstick predicted 24-h sodium excretion correlated with the actual 24-h sodium excretion at baseline and week 8 (r = 0.512; P < 0.001 and r = 0.451; P = 0.002). CONCLUSIONS: Our analysis suggests that chloride and creatinine dipsticks have the potential to predict total daily excretion of sodium. This method provides patients with an easy, convenient, and accurate method to assess sodium excretion at home. Further research is needed to identify the optimal timing of performing the dipstick analysis as well as ways to improve the creatinine measurement of the urine samples. TRIAL REGISTRATION: ClinicalTrials.gov NCT03099343; https://clinicaltrials.gov/ct2/show/NCT03099343.

Mobility and Policy Responses During the COVID-19 Pandemic in 2020.

Objective: This paper quantitatively explores determinants of governments' non-pharmaceutical policy responses to the COVID-19 pandemic. Our focus is on the extent to which geographic mobility affected the stringency of governmental policy responses. Methods: Using cross-country, daily frequency data on geographic mobility and COVID-19 policy stringency during 2020, we investigate some of the determinants of policy responses to COVID-19. In order to causally identify the effect of geographic mobility on policy stringency, we pursue an instrumental variable strategy that exploits climate data to identify arguably exogenous variation in geographic mobility. Results: We find that societies that are more geographically mobile have governmental policy responses that are less stringent. Examining disaggregated mobility data, we show that the negative relation between geographic mobility and policy stringency is the stronger for commercially-oriented movements than for geographic movements that relate to civil society. Conclusion: The results suggest that policy-makers are more willing to trade-off public health for economic concerns relative to other civil concerns.

A Physical Activity Just-in-time Adaptive Intervention Designed in Partnership With a Predominantly Black Community: Virtual, Community-Based Participatory Design Approach.

BACKGROUND: Black people are disproportionally impacted by hypertension. New approaches for encouraging healthy lifestyles are needed to reduce hypertension and promote health equity in Black communities. OBJECTIVE: In this report, we describe the early-stage, virtual design of a just-in-time adaptive intervention (JITAI) to increase physical activity in partnership with members of a low-income, predominantly Black community. METHODS: The hallmark of JITAIs is highly contextualized mobile app push notifications. Thus, understanding participants' context and determinants of physical activity are critical. During the height of the COVID-19 pandemic, we conducted virtual discovery interviews and analysis guided by the Behavior Change Wheel (which focuses on participants' capacity, opportunity, and motivation to engage in physical activity), as well as empathy mapping. We then formed a community-academic participatory design team that partnered in the design sprint, storyboarding, and paper prototyping. RESULTS: For this study, 5 community members participated in the discovery interviews, 12 stakeholders participated in the empathy mapping, 3 community members represented the community on the design team, and 10 community members provided storyboard or paper prototyping feedback. Only one community member had used videoconferencing prior to partnering with the academic team, and none had design experience. A set of 5 community-academic partner design principles were created: (1) keep users front and center, (2) tailor to the individual, (3) draw on existing motivation, (4) make physical activity feel approachable, and (5) make data collection transparent yet unobtrusive. To address community-specific barriers, the community-academic design team decided that mobile app push notifications will be tailored to participants' baseline mobility level and community resources (eg, local parks and events). Push notifications will also be tailored based on the day (weekday versus weekend), time of day, and weather. Motivation will be enhanced via adaptive goal setting with supportive feedback and social support via community-generated notifications. CONCLUSIONS: We completed early-stage virtual design of a JITAI in partnership with community participants and a community design team with limited design and videoconferencing experience. We found that designing JITAIs with the community enables these interventions to address community-specific needs, which may lead to a more meaningful impact on users' health.