Organizational leadership and adaptive reserve in blood pressure control: The heart health NOW study

Kamal H. Henderson, Darren A. DeWalt, Jacquie Halladay, Bryan J. Weiner, Jung I. Kim, Jason Fine, Samuel Cykert

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5 Scopus citations


PURPOSE Our purpose was to assess whether a practice’s adaptive reserve and high leadership capability in quality improvement are associated with population blood pressure control. METHODS We divided practices into quartiles of blood pressure control performance and considered the top quartile as the benchmark for comparison. Using abstracted clinical data from electronic health records, we performed a cross-sectional study to assess the association of top quartile hypertension control and (1) the baseline practice adaptive reserve (PAR) scores and (2) baseline practice leadership scores, using modified Poisson regression models adjusting for practice-level characteristics. RESULTS Among 181 practices, 46 were in the top quartile, which averaged 68% or better blood pressure control. Practices with higher PAR scores compared with lower PAR scores were not more likely to reside in the top quartile of performance (prevalence ratio [PR] = 1.92 for highest quartile; 95% CI, 0.9–4.1). Similarly, high quality improvement leadership capability compared with lower capability did not predict better blood pressure control performance (PR = 0.94; 95% CI, 0.57–1.56). Practices with higher proportions of commercially insured patients were more likely than practices with lower proportions of commercially insured patients to have top quartile performance (37% vs 26%, P = .002), whereas lower proportions of the uninsured (8% vs 14%, P = .055) were associated with better performance. CONCLUSIONS Our findings show that adaptive reserve and leadership capability in quality improvement implementation are not statistically associated with achieving top quartile practice-level hypertension control at baseline in the Heart Health NOW project. Our findings, however, may be limited by a lack of patient-related factors and small sample size to preclude strong conclusions.

Original languageEnglish (US)
Pages (from-to)S29-S34
JournalAnnals of family medicine
StatePublished - Apr 2018

All Science Journal Classification (ASJC) codes

  • Family Practice

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