Introduction: Digital transformation of medical data present opportunities for novel approaches to manage patients with persistent hypertension (HTN). Methods: This qualitative study was a thematic analysis of clinician notes in the electronic health records of patients in the Yale New Haven Health System. Eligible patients were 18 to 85 years and had blood pressure >=160/100 mmHg at 5 or more consecutive outpatient visits between 1/1/2013 and 12/31/2018. 4,828 patients met criteria. We used conventional qualitative content analysis to develop a pragmatic framework of themes that distinguishes patients with persistent hypertension by their contributing factors. A random sample of 116 records were reviewed and analyzed when no new concepts emerge from analyses of subsequent data. Results: Of 116 patients, mean age was 64.5 (SD, 13.2) years; 55 % were female; 66 %, 21%, and 9% were White, Black, and Hispanic. The three themes emerged: (1) non-response to treatment, where patients were highly medically complex and biological resistance or secondary causes of HTN were significant components of their persistent HTN; (2) non-intensification of treatment, where issues such as provider specialty purview, competing medical priorities, patient preference, and concerns of white coat HTN contributed to treatment plans not being adjusted; (3) non-implementation of treatment plan, where varied concerns including a disconnect in patient education, difficulty obtaining medications, psychosocial barriers, or medication in tolerance caused appropriately escalated treatment plans to not be enacted. Conclusions: Our thematic analysis of patients’ medical records provides insights into actionable factors contributing to persistent HTN. These findings lay a foundation for designing digital tools for health systems to rapidly identify people with persistent HTN and connect them with targeted interventions at scale.
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