title: The association between hypertension-specific care management processes and blood pressure outcomes in US-based physician organizations.
abstract: Care management processes (CMP) may be implemented in health systems to improve chronic disease quality of care. The objective of this study was to assess the relationship between the presence of hypertension-specific CMP and blood pressure (BP) control among hypertensive patients within selected physician organizations in the USA-modified version of the Physician Practice Connection Readiness Survey (PPC-RS), developed by The National Committee for Quality Assurance (NCQA), was administered to chief medical officers at 28 US-based physician organizations in 2010. Hypertension-specific survey items were added to the PPC-RS and focused on medication fill compliance, chronic disease management, and patient self-management. Demographic and clinical cross-sectional data from a random sample of 300 hypertensive patients age 18 years or older were collected at each site. Physician site and patient characteristics were reported. Regression models were used to assess the relationship between hypertension-specific physician practices and patient BP control. Eligible patients had at least a 1-year history of care with the physician organization and had an encounter within the past year of data collection. Of the 28 participating sites, most had electronic medical records that handle total functionality (71.4%) and had more than 50 staff members (78.6%). Across all sites, approximately 61% of patients had controlled BP. Regression analyses found that practices that used physician education as an effort to improve medication fill compliance demonstrated improvement in BP control (changes in systolic BP: beta coefficient = -1.366, P = .034; changes in diastolic BP: beta coefficient = -0.859, P = .056). The use of a systematic process to screen or assess patients for hypertension as a risk factor was also found to be associated with improvements in BP control (changes in diastolic BP: beta coefficient = -0.860, P = .006). In addition, physician practices that maintained a list of hypertensive patients along with the patients' associated clinical data demonstrated better BP control (currently controlled BP: beta coefficient = 0.282, P = .034; currently uncontrolled BP: beta coefficient = -0.292, P = .023). However, use of the following practices had a negative correlation with BP control: case management (changes in systolic BP: beta coefficient 1.649, P = .022; changes in diastolic BP: beta coefficient = 0.910, P = .078), follow-up for missed appointments (changes in systolic BP: beta coefficient = 0.937, P = .041; changes in diastolic BP: beta coefficient = 0.165, P = .627), adopted written evidence-based standards of care to treat hypertension (changes in systolic BP: beta coefficient = 0.985, P = .032; changes in diastolic BP: beta coefficient = 0.346, P = .305), and checklists for tests and interventions (changes in systolic BP: beta coefficient = 1.586, P = .004; changes in diastolic BP: beta coefficient = 0.938, P = .019). Findings from this multisite study provide evidence that the presence of some hypertension-specific CMP in physician organizations may be associated with better BP outcomes among hypertensive patients. In particular, patients may benefit from physician efforts to improve medication fill compliance as well as organizational monitoring of hypertensive patients and their clinical data. Further research is warranted to better assess the relationship between CMP and treatment of chronic diseases such as hypertension over time.
authors.affiliation: Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA. ken.wong@novartis.com
authors.forename: Ken
authors.initials: K
authors.lastname: Wong
authors.forename: Amy
authors.initials: A
authors.lastname: Smalarz
authors.forename: Ning
authors.initials: N
authors.lastname: Wu
authors.forename: Luke
authors.initials: L
authors.lastname: Boulanger
authors.forename: Jenifer
authors.initials: J
authors.lastname: Wogen
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019090:Case Management / Q000458:organization & administration*; D003430:Cross-Sectional Studies; D019468:Disease Management; D005260:Female; D006801:Humans; D006973:Hypertension / Q000188:drug therapy* / Q000517:prevention & control; D008297:Male; D008875:Middle Aged; D010043:Outcome and Process Assessment, Health Care / Q000458:organization & administration; D010818:Practice Patterns, Physicians' / Q000458:organization & administration* / Q000706:statistics & numerical data; D014481:United States; D055815:Young Adult; D016903:Drug Monitoring