BACKGROUND: Uncontrolled blood pressure (BP), among patients diagnosed and treated for the condition, remains an important clinical challenge; aspects of clinical operations could potentially be adjusted if they were associated with better outcomes. OBJECTIVES: To assess clinical operations factors' effects on normalization of uncontrolled BP. RESEARCH DESIGN: Observational cohort study. SUBJECTS: Patients diagnosed with hypertension from a large urban clinical practice (2005-2009). MEASURES: We obtained clinical data on BP, organized by person-month, and administrative data on primary care provider (PCP) staffing. We assessed the resolution of an episode of uncontrolled BP as a function of time-varying covariates including practice-level appointment volume, individual clinicians' appointment volume, overall practice-level PCP staffing, and number of unique PCPs. RESULTS: Among the 7409 unique patients representing 50,403 person-months, normalization was less likely for the patients in whom the episode starts during months when the number of unique PCPs were high [the top quintile of unique PCPs was associated with a 9 percentage point lower probability of normalization (P<0.01) than the lowest quintile]. Practice appointment volume negatively affected the likelihood of normalization [episodes starting in months with the most appointments were associated with a 6 percentage point reduction in the probability of normalization (P=0.01)]. Neither clinician appointment volume nor practice clinician staffing levels were significantly associated with the probability of normalization. CONCLUSIONS: Findings suggest that clinical operations factors can affect clinical outcomes like BP normalization, and point to the importance of considering outcome effects when organizing clinical care.
BACKGROUND: Uncontrolled blood pressure (BP), among patients diagnosed and treated for the condition, remains an important clinical challenge; aspects of clinical operations could potentially be adjusted if they were associated with better outcomes. OBJECTIVES: To assess clinical operations factors' effects on normalization of uncontrolled BP. RESEARCH DESIGN: Observational cohort study. SUBJECTS:Patients diagnosed with hypertension from a large urban clinical practice (2005-2009). MEASURES: We obtained clinical data on BP, organized by person-month, and administrative data on primary care provider (PCP) staffing. We assessed the resolution of an episode of uncontrolled BP as a function of time-varying covariates including practice-level appointment volume, individual clinicians' appointment volume, overall practice-level PCP staffing, and number of unique PCPs. RESULTS: Among the 7409 unique patients representing 50,403 person-months, normalization was less likely for the patients in whom the episode starts during months when the number of unique PCPs were high [the top quintile of unique PCPs was associated with a 9 percentage point lower probability of normalization (P<0.01) than the lowest quintile]. Practice appointment volume negatively affected the likelihood of normalization [episodes starting in months with the most appointments were associated with a 6 percentage point reduction in the probability of normalization (P=0.01)]. Neither clinician appointment volume nor practice clinician staffing levels were significantly associated with the probability of normalization. CONCLUSIONS: Findings suggest that clinical operations factors can affect clinical outcomes like BP normalization, and point to the importance of considering outcome effects when organizing clinical care.
Authors: Leonor Corsino; William S Yancy; Gregory P Samsa; Rowena J Dolor; Kathryn I Pollak; Pao-Hwa Lin; Laura P Svetkey Journal: J Clin Hypertens (Greenwich) Date: 2010-11-04 Impact factor: 3.738
Authors: Karen L Margolis; Stephen E Asche; Anna R Bergdall; Steven P Dehmer; Sarah E Groen; Holly M Kadrmas; Tessa J Kerby; Krissa J Klotzle; Michael V Maciosek; Ryan D Michels; Patrick J O'Connor; Rachel A Pritchard; Jaime L Sekenski; JoAnn M Sperl-Hillen; Nicole K Trower Journal: JAMA Date: 2013-07-03 Impact factor: 56.272
Authors: Benjamin J Powers; Maren K Olsen; Valerie A Smith; Robert F Woolson; Hayden B Bosworth; Eugene Z Oddone Journal: Ann Intern Med Date: 2011-06-21 Impact factor: 25.391
Authors: Alexander Turchin; Saveli I Goldberg; Maria Shubina; Jonathan S Einbinder; Paul R Conlin Journal: Hypertension Date: 2010-05-24 Impact factor: 10.190
Authors: Hayden B Bosworth; Maren K Olsen; Janet M Grubber; Alice M Neary; Melinda M Orr; Benjamin J Powers; Martha B Adams; Laura P Svetkey; Shelby D Reed; Yanhong Li; Rowena J Dolor; Eugene Z Oddone Journal: Ann Intern Med Date: 2009-11-17 Impact factor: 25.391