The Counseling African Americans to Control Hypertension study and ways to enhance the next wave of behavioral interventions

Implementation of Multifaceted Patient-Centered Treatment Strategies for Intensive Blood Pressure Control (IMPACTS): Rationale and design of a cluster-randomized trial

BACKGROUND

The Systolic Blood Pressure Intervention Trial (SPRINT) reported that intensive blood pressure (BP) treatment reduced cardiovascular disease and mortality compared to standard BP treatment in hypertension patients. The next important question is how to implement more intensive BP treatment in real-world clinical practice. We designed an effectiveness-implementation hybrid trial to simultaneously test the effectiveness of a multifaceted intervention for intensive BP treatment and its feasibility, fidelity, and sustainability in underserved hypertension patients.

METHODS

Implementation of Multifaceted Patient-Centered Treatment Strategies for Intensive Blood Pressure Control (IMPACTS) is a cluster randomized trial conducted in 36 Federally Qualified Health Center clinics in Louisiana and Mississippi. Federally Qualified Health Center clinics were randomized to either a multifaceted intervention for intensive BP treatment, including protocol-based treatment using the SPRINT intensive BP management algorithm, dissemination of SPRINT findings, BP audit and feedback, home BP monitoring, and health coaching, or enhanced usual care. Difference in mean systolic BP change from baseline to 18 months is the primary clinical effectiveness outcome, and intervention fidelity, measured by treatment intensification and medication adherence, is the primary implementation outcome. The planned sample size of 1,260 participants (36 clinics with 35 participants each) has 90% power to detect a 5.0-mm Hg difference in systolic BP at a .05 significance level and 80% follow-up rate.

CONCLUSIONS

IMPACTS will generate critical data on the effectiveness and implementation of a multifaceted intervention for intensive BP treatment in real-world clinical practice and could directly impact the BP-related disease burden in minority and low-income populations in the United States.

Optimizing identification of resistant hypertension: Computable phenotype development and validation

PURPOSE

Computable phenotypes are constructed to utilize data within the electronic health record (EHR) to identify patients with specific characteristics; a necessary step for researching a complex disease state. We developed computable phenotypes for resistant hypertension (RHTN) and stable controlled hypertension (HTN) based on the National Patient-Centered Clinical Research Network (PCORnet) common data model (CDM). The computable phenotypes were validated through manual chart review.

METHODS

We adapted and refined existing computable phenotype algorithms for RHTN and stable controlled HTN to the PCORnet CDM in an adult HTN population from the OneFlorida Clinical Research Consortium (2015-2017). Two independent reviewers validated the computable phenotypes through manual chart review of 425 patient records. We assessed precision of our computable phenotypes through positive predictive value (PPV) and test validity through interrater reliability (IRR).

RESULTS

Among the 156 730 HTN patients in our final dataset, the final computable phenotype algorithms identified 24 926 patients with RHTN and 19 100 with stable controlled HTN. The PPV for RHTN in patients randomly selected for validation of the final algorithm was 99.1% (n = 113, CI: 95.2%-99.9%). The PPV for stable controlled HTN in patients randomly selected for validation of the final algorithm was 96.5% (n = 113, CI: 91.2%-99.0%). IRR analysis revealed a raw percent agreement of 91% (152/167) with Cohen's kappa statistic = 0.87.

CONCLUSIONS

We constructed and validated a RHTN computable phenotype algorithm and a stable controlled HTN computable phenotype algorithm. Both algorithms are based on the PCORnet CDM, allowing for future application to epidemiological and drug utilization based research.

Adherence to Antihypertensive Therapy

Adherence to antihypertensive medication remains a key modifiable factor in the management of hypertension. The multidimensional nature of adherence and blood pressure (BP) control call for multicomponent, patient-centered interventions to improve adherence. Promising strategies to improve antihypertensive medication adherence and BP control include regimen simplification, reduction of out-of-pocket costs, use of allied health professionals for intervention delivery, and self-monitoring of BP. Research to understand the effects of technology-mediated interventions, mechanisms underlying adherence behavior, and sex-race differences in determinants of low adherence and intervention effectiveness may enhance patient-specific approaches to improve adherence and disease control.