Impact of COVID-19 on Trends in Outpatient Clinic Utilization: A Tale of 2 Departments.

BACKGROUND: The COVID-19 pandemic forced many US health care organizations to shift from mostly in-person care to a hybrid of virtual visits (VV) and in-person visits (IPV). While there was an expected and immediate shift to virtual care (VC) early in the pandemic, little is known about trends in VC use after restrictions eased. METHODS: This is a retrospective study using data from 3 health care systems. All completed visits from adult primary care (APC) and behavioral health (BH) were extracted from the electronic health record of adults aged 19 years and older from January 1, 2019 to June 30, 2021. Standardized weekly visit rates were calculated by department and site and analyzed using time series analysis. RESULTS: There was an immediate decrease in APC visits following the onset of the pandemic. IPV were quickly replaced by VV such that VV accounted for most APC visits early in the pandemic. By 2021, VV rates declined, and VC visits accounted for <50% of all APC visits. By Spring 2021, all 3 health care systems saw a resumption of APC visits as rates neared or returned to prepandemic levels. In contrast, BH visit rates remained constant or slightly increased. By April 2020, almost all BH visits were being delivered virtually at each of the 3 sites and continue to do so without changes to utilization. CONCLUSIONS: VC use peaked during the early pandemic period. While rates of VC are higher than prepandemic levels, IPV are the predominant visit type in APC. In contrast, VC use has sustained in BH, even after restrictions eased.

Patient Factors Associated With Use of Adult Primary Care and Virtual Visits During the COVID-19 Pandemic.

BACKGROUND: The delivery of adult primary care (APC) shifted from predominately in-person to modes of virtual care during the COVID-19 pandemic. It is unclear how these shifts impacted the likelihood of APC use during the pandemic, or how patient characteristics may be associated with the use of virtual care. METHODS: A retrospective cohort study using person-month level datasets from 3 geographically disparate integrated health care systems was conducted for the observation period of January 1, 2020, through June 30, 2021. We estimated a 2-stage model, first adjusting for patient-level sociodemographic, clinical, and cost-sharing factors, using generalized estimating equations with a logit distribution, along with a second-stage multinomial generalized estimating equations model that included an inverse propensity score treatment weight to adjust for the likelihood of APC use. Factors associated with APC use and virtual care use were separately assessed for the 3 sites. RESULTS: Included in the first-stage models were datasets with total person-months of 7,055,549, 11,014,430, and 4,176,934, respectively. Older age, female sex, greater comorbidity, and Black race and Hispanic ethnicity were associated with higher likelihood of any APC use in any month; measures of greater patient cost-sharing were associated with a lower likelihood. Conditional on APC use, older age, and adults identifying as Black, Asian, or Hispanic were less likely to use virtual care. CONCLUSIONS: As the transition in health care continues to evolve, our findings suggest that to ensure vulnerable patient groups receive high quality health care, outreach interventions to reduce barriers to virtual care use may be warranted.

Virtual Care and Urinary Tract Infection Management: Comparing Ancillary Service Orders and Patient Order Fulfillments Between Virtual and In-person Encounters During the COVID-19 Pandemic in the United States.

BACKGROUND: During the COVID-19 pandemic, more health care issues were being managed remotely. Urinary tract infections (UTIs) are being managed more often using telehealth although few reports compare the rate of UTI ancillary service orders placed and fulfilled during these visits. OBJECTIVES: We aimed to evaluate and compare the rate of ancillary service orders and order fulfillments in incident UTI diagnoses between virtual and in-person encounters. RESEARCH DESIGN: The retrospective cohort study involved 3 integrated health care systems: Kaiser Permanente (KP) Colorado, KP Georgia, and KP Mid-Atlantic States. SUBJECTS: We included incident UTI encounters from adult primary care data from January 2019 to June 2021. MEASURES: Data were categorized as: prepandemic (January 2019-March 2020), COVID-19 Era 1 (April 2020-June 2020), and COVID-19 Era 2 (July 2020-June 2021). UTI-specific ancillary services included medication, laboratory, and imaging. Orders and order fulfillments were dichotomized for analyses. Weighted percentages for orders and fulfillments were calculated using inverse probability treatment weighting from logistic regression and compared between virtual and in-person encounters using χ2 tests. RESULTS: We identified 123,907 incident encounters. Virtual encounters increased from 13.4% prepandemic to 39.1% in COVID-19 Era 2. Ancillary service orders from virtual encounters were not placed as often as in-person encounters. However, the weighted percentage for ancillary service order fulfillment across all services remained above 65.3% across sites and eras, with many fulfillment percentages above 90%. CONCLUSIONS: Our study reported a high rate of order fulfillment for both virtual and in-person encounters. Health care systems should encourage providers to place ancillary service orders for uncomplicated diagnoses, such as UTI, to provide enhanced access to patient-centered care.

Health-care-Related Practices in Virtual Behavioral Health Treatment for Major Depression Before and During the COVID-19 Pandemic.

BACKGROUND: The abrupt shift to virtual care at the onset of the COVID-19 pandemic had the potential to disrupt care practices in virtual behavioral health encounters. We examined changes over time in virtual behavioral health-care-related practices for patient encounters with diagnoses of major depression. METHODS: This retrospective cohort study utilized electronic health record data from 3 integrated health care systems. Inverse probability of treatment weighting was used to adjust for covariates across 3 time periods, prepandemic (January 2019-March 2020), peak-pandemic shift to virtual care (April 2020-June 2020), and recovery of health care operations (July 2020-June 2021). First virtual follow-up behavioral health department encounters after an incident diagnostic encounter were examined for differences across the time periods in rates of antidepressant medication orders and fulfillments, and completion of patient-reported symptoms screeners in service of measurement-based care. RESULTS: Antidepressant medication orders declined modestly but significantly in 2 of the 3 systems during the peak-pandemic period but rebounded during the recovery period. There were no significant changes in patient fulfillment of ordered antidepressant medications. Completion of symptom screeners increased significantly in all 3 systems during the peak-pandemic period and continued to increase significantly in the subsequent period. CONCLUSIONS: A rapid shift to virtual behavioral health care was possible without compromising health-care-related practices. The transition and subsequent adjustment period have instead been marked by improved adherence to measurement-based care practices in virtual visits, signaling a potential new capacity for virtual health care delivery.

Development of a Common Data Model for a Multisite and Multiyear Study of Virtual Visit Implementation: A Case Study.

BACKGROUND/OBJECTIVE: In multisite studies, a common data model (CDM) standardizes dataset organization, variable definitions, and variable code structures and can support distributed data processing. We describe the development of a CDM for a study of virtual visit implementation in 3 Kaiser Permanente (KP) regions. METHODS: We conducted several scoping reviews to inform our study's CDM design: (1) virtual visit mode, implementation timing, and scope (targeted clinical conditions and departments); and (2) extant sources of electronic health record data to specify study measures. Our study covered the period from 2017 through June 2021. Integrity of the CDM was assessed by a chart review of random samples of virtual and in-person visits, overall and by specific conditions of interest (neck or back pain, urinary tract infection, major depression). RESULTS: The scoping reviews identified a need to address differences in virtual visit programs across the 3 KP regionsto harmonize measurement specifications for our research analyses. The final CDM contained patient-level, provider-level, and system-level measures on 7,476,604 person-years for KP members aged 19 years and above. Utilization included 2,966,112 virtual visits (synchronous chats, telephone visits, video visits) and 10,004,195 in-person visits. Chart review indicated the CDM correctly identified visit mode on>96% (n=444) of visits, and presenting diagnosis on >91% (n=482) of visits. CONCLUSIONS: Upfront design and implementation of CDMs may be resource intensive. Once implemented, CDMs, like the one we developed for our study, provide downstream programming and analytic efficiencies by harmonizing, in a consistent framework, otherwise idiosyncratic temporal and study site differences in source data.

Pre-Operative Predictors for Discharge to Post-Acute Care Facilities After Total Knee Arthroplasty.

BACKGROUND: Joint replacement surgery is in increasing demand and is the most common inpatient surgery for Medicare beneficiaries. The venue for post-operative rehabilitation, including early outpatient therapy after surgery, influences recovery and quality of life. As part of a comprehensive total joint program at Kaiser Permanente Colorado, we developed and validated a predictive model to anticipate and plan the disposition for rehabilitation of our patients after total knee arthroplasty (TKA). METHODS: We analyzed data for TKA patients who completed a pre-operative Total Knee Risk Assessment in 2017 (the model development cohort) or during the first 6 months of 2018 (the model validation cohort). The Total Knee Risk Assessment, which is used to guide disposition for rehabilitation, included questions in mobility, social, and environment domains. Multivariable logistic regression was used to predict discharge to post-acute care facilities (PACFs) (ie, skilled nursing facilities or acute rehabilitation centers). RESULTS: Data for a total of 1481 and 631 patients who underwent TKA were analyzed in the development and validation cohorts, respectively. Ninety-three patients (6.3%) in the development cohort and 22 patients (3.5%) in the validation cohort were discharged to PACFs. Eight risk factors for discharge to PACFs were included in the final multivariable model. Patients with a diagnosis of neurological disorder and with a mobility/balance issue had the greatest chance of discharge to PACFs. CONCLUSION: This validated predictive model for discharge disposition following TKA may be used as a tool in shared decision-making and discharge planning for patients undergoing TKA.

Development and Validation of a Model for Predicting Rehabilitation Care Location Among Patients Discharged Home After Total Knee Arthroplasty.

BACKGROUND: Demand for joint replacement is increasing, with many patients receiving postsurgical physical therapy (PT) in non-inpatient settings. Clinicians need a reliable tool to guide decisions about the appropriate PT setting for patients discharged home after surgery. We developed and validated a model to predict PT location for patients in our health system discharged home after total knee arthroplasty. METHODS: We analyzed data for patients who completed a preoperative total knee risk assessment in 2017 (model development cohort) or during the first 6 months of 2018 (model validation cohort). The initial total knee risk assessment, to guide rehabilitation disposition, included 28 variables in mobility, social, and environment domains, and on patient demographics and comorbidities. Multivariable logistic regression was used to identify factors that best predict discharge to home health service (HHS) vs home with outpatient PT. Model performance was assessed by standard criteria. RESULTS: The development cohort included 259 patients (19%) discharged to HHS and 1129 patients (81%) discharged to home with outpatient PT. The validation cohort included 609 patients, with 91 (15%) discharged to HHS. The final model included age, gender, motivation for outpatient PT, and reliable transportation. Patients without motivation for outpatient PT had the highest probability of discharge to HHS, followed by those without reliable transportation. Model performance was excellent in the development and validation cohort, with c-statistics of 0.91 and 0.86, respectively. CONCLUSION: We developed and validated a predictive model for total knee arthroplasty PT discharge location. This model includes 4 variables with accurate prediction to guide patient-clinician preoperative decision making.

Risk of Breast Cancer With Long-Term Use of Calcium Channel Blockers or Angiotensin-Converting Enzyme Inhibitors Among Older Women.

Controversy exists about breast cancer risk associated with long-term use of calcium channel blockers (CCBs) or angiotensin-converting enzyme inhibitors (ACEis), respectively. Our objective in this study was to separately evaluate associations between duration of CCB or ACEi use and breast cancer in hypertensive women aged ≥55 years at 3 sites in the Kaiser Permanente health-care system (1997­2012). Exposures included CCB or ACEi use of 1­12 years' duration, determined from pharmacy dispensings. Outcomes included invasive lobular or ductal carcinoma. Statistical methods included discrete-time survival analyses. The cohort included 19,674 (17.9%) CCB users and 90,078 (82.1%) ACEi users. Two percent (n = 397) of CCB users and 1.9% (n = 1,733) of ACEi users developed breast cancer. Compared with 1­<2 years of use, in adjusted analysis, there was no association between CCB use for 2­<12 years and breast cancer: All 95% confidence intervals included 1. Increasing duration of ACEi use was associated with reduced breast cancer risk: Compared with 1­<2 years of use, the adjusted hazard ratio was 0.76 (95% confidence interval: 0.63, 0.92) for 5­<6 years of use and 0.63 (95% confidence interval: 0.43, 0.93) for 9­<10 years of use. We conclude that among older women with hypertension, long-term CCB use does not increase breast cancer risk and long-term treatment with ACEis may confer protection against breast cancer.

Factors Associated With Adherence to Blood Pressure Measurement Recommendations at Pediatric Primary Care Visits, Minnesota and Colorado, 2007-2010.

INTRODUCTION: Elevated blood pressure in childhood may predict increased cardiovascular risk in young adulthood. The Task Force on the Diagnosis, Evaluation and Treatment of High Blood pressure in Children and Adolescents recommends that blood pressure be measured in children aged 3 years or older at all health care visits. Guidelines from both Bright Futures and the Expert Panel of Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents recommend annual blood pressure screening. Adherence to these guidelines is unknown. METHODS: We conducted a cross-sectional study to assess compliance with blood pressure screening recommendations in 2 integrated health care delivery systems. We analyzed electronic health records of 103,693 subjects aged 3 to 17 years. Probability of blood pressure measurement documented in the electronic health record was modeled as a function of visit type (well-child vs nonwell-child); patient age, sex, race/ethnicity, and body mass index; health care use; insurance type; and type of office practice or clinic department (family practice or pediatrics). RESULTS: Blood pressure was measured at 95% of well-child visits and 69% of nonwell-child outpatient visits. After adjusting for potential confounders, the percentage of nonwell-child visits with measurements increased linearly with patient age (P < .001). Overall, the proportion of children with annual blood pressure measurements was high and increased with age. Family practice clinics were more likely to adhere to blood pressure measurement guidelines compared with pediatric clinics (P < .001). CONCLUSION: These results show good compliance with recommendations for routine blood pressure measurement in children and adolescents. Findings can inform the development of EHR-based clinical decision support tools to augment blood pressure screening and recognition of prehypertension and hypertension in pediatric patients.

Personalised physician learning intervention to improve hypertension and lipid control: randomised trial comparing two methods of physician profiling.

PURPOSE: To assess the impact of personalised physician learning (PPL) interventions using simulated learning cases on control of hypertension and dyslipidaemia in primary care settings. METHODS: A total of 132 primary care physicians, 4568 eligible patients with uncontrolled hypertension, and 15 392 eligible patients with uncontrolled dyslipidaemia were cluster-randomised to one of three conditions: (a) no intervention, (b) PPL-electronic medical record (EMR) intervention in which 12 PPL cases were assigned to each physician based on observed patterns of care in the EMR in the previous year, or (c) PPL-ASSESS intervention in which 12 PPL cases were assigned to each physician based on their performance on four standardised assessment cases. General and generalised linear mixed models were used to account for clustering and to model differences in patient outcomes in the study arms. RESULTS: Among patients with uncontrolled hypertension at baseline, 49.1%, 46.6% and 47.3% (p=0.43) achieved blood pressure (BP) targets at follow-up. Among patients with uncontrolled dyslipidaemia at baseline, 37.5%, 37.3% and 38.1% (p=0.72) achieved low density lipoprotein cholesterol targets at follow-up in PPL-EMR, PPL-ASSESS and the control group, respectively. Although systolic (BP) (p<0.001) and lipid (p<0.001) values significantly improved during the study, the group-by-time interaction term showed no differential change in systolic BP values (p=0.51) or lipid values (p=0.61) among the three study arms. No difference in intervention effect was noted when comparing the PPL-EMR with the PPL-ASSESS intervention (p=0.47). CONCLUSIONS: The two PPL interventions tested in this study did not lead to improved control of hypertension or dyslipidaemia in primary care clinics during a mean 14-month follow-up period. This null result may have been due in part to substantial overall improvement in BP and lipid control at the study sites during the study. TRIAL REGISTRATION NUMBER: NCT00903071.

Lipid screening in children and adolescents in community practice: 2007 to 2010.

BACKGROUND: Integrated guidelines on cardiovascular health and risk reduction in children issued in 2011 newly recommended universal screening for dyslipidemia in children at 9 to 11 years and 17 to 21 years. METHODS AND RESULTS: We determined the frequency and results of lipid testing in 301 080 children and adolescents aged 3 to 19 enrolled in 3 large US health systems in 2007 to 2010 before the 2011 guidelines were issued. Overall, 9.8% of the study population was tested for lipids. The proportion tested varied by body mass index percentile (5.9% of normal weight, 10.8% of overweight, and 26.9% of obese children) and age (8.9% of 9- to 11-year olds and 24.3% of 17- to 19-year olds). In normal weight individuals, 2.8% of 9- to 11-year olds and 22.0% of 17- to 19-year olds were tested. In multivariable models, age and body mass index category remained strongly associated with lipid testing. Sex, race, ethnicity, and blood pressure were weakly associated with testing. Abnormal lipid levels were found in 8.6% for total cholesterol, 22.5% for high-density lipoprotein-cholesterol, 12.0% for non-high-density lipoprotein-cholesterol, 8.0% for low-density lipoprotein-cholesterol, and 21% for triglycerides (age, 10-19 years). There was a strong and graded association of abnormal lipid levels with body mass index, particularly for high-density lipoprotein-cholesterol and triglycerides (2- to 6-fold higher odds ratio in obese when compared with that in normal weight children). CONCLUSIONS: Lipid screening was uncommon in 9- to 11-year olds and was performed in a minority of 17- to 19-year olds during 2007 to 2010. These data serve as a benchmark for assessing change in practice patterns after the new recommendations for pediatric lipid screening and management.

Patterns of care and persistence after incident elevated blood pressure.

BACKGROUND AND OBJECTIVE: Screening for hypertension in children occurs during routine care. When blood pressure (BP) is elevated in the hypertensive range, a repeat measurement within 1 to 2 weeks is recommended. The objective was to assess patterns of care after an incident elevated BP, including timing of repeat BP measurement and likelihood of persistently elevated BP. METHODS: This retrospective study was conducted in 3 health care organizations. All children aged 3 through 17 years with an incident elevated BP at an outpatient visit during 2007 through 2010 were identified. Within this group, we assessed the proportion who had a repeat BP measured within 1 month of their incident elevated BP and the proportion who subsequently met the definition of hypertension. Multivariate analyses were used to identify factors associated with follow-up BP within 1 month of initial elevated BP. RESULTS: Among 72,625 children and adolescents in the population, 6108 (8.4%) had an incident elevated BP during the study period. Among 6108 with an incident elevated BP, 20.9% had a repeat BP measured within 1 month. In multivariate analyses, having a follow-up BP within 1 month was not significantly more likely among individuals with obesity or stage 2 systolic elevation. Among 6108 individuals with an incident elevated BP, 84 (1.4%) had a second and third consecutive elevated BP within 12 months. CONCLUSIONS: Whereas >8% of children and adolescents had an incident elevated BP, the great majority of BPs were not repeated within 1 month. However, relatively few individuals subsequently met the definition of hypertension.

Detection and recognition of hypertension in anxious and depressed patients.

OBJECTIVE: Hypertension management requires detection (i.e. confirmation of persistently high blood pressure (BP) after an initial elevated measurement) and recognition of the condition (evidenced by a formal diagnosis and/or initiation of treatment). Our objective was to determine whether disparities exist in detection of elevated BP and recognition (i.e. diagnosis or treatment) of hypertension in patients with depression and anxiety. METHODS: Using data from the Cardiovascular Research Network Hypertension Registry, we assessed time-to-detection of elevated BP and recognition of hypertension in patients with comorbid anxiety and depression compared with patients with neither disorder. We performed multivariable survival analysis of time to detection and recognition in patients who entered the registry in 2002-2006. We adjusted for primary care visit rate and other relevant clinical factors. RESULTS: In 168,630 incident hypertension patients, detection occurred earlier among patients with anxiety and depression compared with patients without these diagnoses [adjusted hazard ratio for anxiety and depression 1.30, 95% confidence interval (CI) 1.26-1.35]. Recognition of hypertension within 12 months of the second elevated BP was similar (adjusted hazard ratio for anxiety and depression 0.94, 95% CI 0.89-1.00) or delayed (adjusted hazard ratio for anxiety 0.93, 95% CI 0.88-0.99 and for depression 0.93, 95% CI 0.90-0.97). CONCLUSIONS: Detection of elevated BP occurred earlier in patients with anxiety and depression. Time from detection to diagnosis or treatment was similar or delayed in patients with and without these diagnoses. Our findings suggest that as-yet-unidentified factors contribute to disparities in hypertension detection and recognition.

Comparative effectiveness of 2 ß-blockers in hypertensive patients.

BACKGROUND: Randomized controlled trials have demonstrated the efficacy of selected ß-blockers for preventing cardiovascular (CV) events in patients following myocardial infarction (MI) or with heart failure (HF). However, the effectiveness of ß-blockers for preventing CV events in patients with hypertension has been questioned recently, but it is unclear whether this is a class effect. METHODS: Using electronic medical record and health plan data from the Cardiovascular Research Network Hypertension Registry, we compared incident MI, HF, and stroke in patients who were new ß-blocker users between 2000 and 2009. Patients had no history of CV disease and had not previously filled a prescription for a ß-blocker. Cox proportional hazards regression was used to examine the associations of atenolol and metoprolol tartrate with incident CV events using both standard covariate adjustment (n = 120,978) and propensity score-matching methods (n = 22,352). RESULTS: During follow-up (median, 5.2 years), there were 3517 incident MI, 3272 incident HF, and 3664 incident stroke events. Hazard ratios for MI, HF, and stroke in metoprolol tartrate users were 0.99 (95% CI, 0.97-1.02), 0.99 (95% CI, 0.96-1.01), and 0.99 (95% CI, 0.97-1.02), respectively. An alternative approach using propensity score matching yielded similar results in 11,176 new metoprolol tartrate users, who were similar to 11,176 new atenolol users with regard to demographic and clinical characteristics. CONCLUSIONS: There were no statistically significant differences in incident CV events between atenolol and metoprolol tartrate users with hypertension. Large registries similar to the one used in this analysis may be useful for addressing comparative effectiveness questions that are unlikely to be resolved by randomized trials.

Incidence and prognosis of resistant hypertension in hypertensive patients.

BACKGROUND: Despite a recent American Heart Association (AHA) consensus statement emphasizing the importance of resistant hypertension, the incidence and prognosis of this condition are largely unknown. METHODS AND RESULTS: This retrospective cohort study in 2 integrated health plans included patients with incident hypertension in whom treatment was begun between 2002 and 2006. Patients were followed up for the development of resistant hypertension based on AHA criteria of uncontrolled blood pressure despite use of ≥3 antihypertensive medications, with data collected on prescription filling information and blood pressure measurement. We determined incident cardiovascular events (death or incident myocardial infarction, heart failure, stroke, or chronic kidney disease) in patients with and without resistant hypertension with adjustment for patient and clinical characteristics. Among 205 750 patients with incident hypertension, 1.9% developed resistant hypertension within a median of 1.5 years from initial treatment (0.7 cases per 100 person-years of follow-up). These patients were more often men, were older, and had higher rates of diabetes mellitus than nonresistant patients. Over 3.8 years of median follow-up, cardiovascular event rates were significantly higher in those with resistant hypertension (unadjusted 18.0% versus 13.5%, P<0.001). After adjustment for patient and clinical characteristics, resistant hypertension was associated with a higher risk of cardiovascular events (hazard ratio, 1.47; 95% confidence interval, 1.33-1.62). CONCLUSIONS: Among patients with incident hypertension in whom treatment was begun, 1 in 50 patients developed resistant hypertension. Patients with resistant hypertension had an increased risk of cardiovascular events, which supports the need for greater efforts toward improving hypertension outcomes in this population.

Combination therapy as initial treatment for newly diagnosed hypertension.

BACKGROUND: The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure recommends that clinicians consider the use of multidrug therapy to increase likelihood of achieving blood pressure goal. Little is known about recent patterns of combination antihypertensive therapy use in patients being initiated on hypertension treatment. METHODS: We investigated combination antihypertensive therapy use in newly diagnosed hypertensive patients from the Cardiovascular Research Network Hypertension Registry. Multivariable logistic regression was used to assess the relationship between combination antihypertensive therapy and 12-month blood pressure control. RESULTS: Between 2002 and 2007, a total of 161,585 patients met criteria for incident hypertension and were initiated on treatment. During the study period, an increasing proportion of patients were treated initially with combination rather than with single-agent therapy (20.7% in 2002 compared with 35.8% in 2007, P < .001). This increase in combination therapy use was more pronounced in patients with stage 2 hypertension, whose combination therapy use increased from 21.6% in 2002 to 44.5% in 2007. Nearly 90% of initial combination therapy was accounted for by 2 combinations, a thiazide and a potassium-sparing diuretic (47.6%) and a thiazide and an angiotensin-converting enzyme inhibitor (41.4%). After controlling for relevant clinical factors, including subsequent intensification of treatment and medication adherence, combination therapy was associated with increased odds of blood pressure control at 12 months (odds ratio compared with single-drug initial therapy 1.20; 95% CI 1.15-1.24, P < .001). CONCLUSIONS: Initial treatment of hypertension with combination therapy is increasingly common and is associated with better long-term blood pressure control.

Age-dependent gender differences in hypertension management.

OBJECTIVE: Despite gender-neutral guidelines, prior studies suggest that women have lower rates of hypertension control and these differences may vary with age. Accordingly, we compared rates of hypertension control between women and men as a function of age. METHODS: Within three integrated healthcare systems in the Cardiovascular Research Network, we studied all patients seen from 2001 to 2007 with incident hypertension. Within 1 year of cohort entry, patient's hypertension was categorized as controlled based upon achieving guideline-recommended blood pressure levels, recognized if hypertension was diagnosed or a hypertension medication dispensed, and treated based on hypertension medications dispensed. Multivariable logistic regression models assessed the association between gender and 1-year hypertension outcomes, adjusted for patient characteristics. RESULTS: Among the 152,561 patients with incident hypertension, 55.6% were women. Compared to men, women were older, had more kidney disease and more blood pressure measures during follow-up. Overall, men tended to have lower rates of hypertension control compared to women (41.2 vs. 45.7%, adjusted odds ratio 0.93, 95% confidence interval 0.91-0.95). A significant gender by age interaction was found with men aged 18-49 having 17% lower odds of hypertension control and men aged at least 65 having 12% higher odds of hypertension control compared to women of similar ages (P<0.001). CONCLUSION: In this incident hypertension cohort, younger men and older women had lower rates of hypertension control compared to similarly aged peers. Future studies should investigate why gender differences vary by age in order to plan appropriate means of improving hypertension management regardless of gender or age.

Trends in time to confirmation and recognition of new-onset hypertension, 2002-2006.

Achieving full benefits of blood pressure control in populations requires prompt recognition of previously undetected hypertension. In 2003, the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure provided definitions of hypertension and recommended that single elevated readings be confirmed within 1 to 2 months. We sought to determine whether the time required to confirm and recognize (ie, diagnose and/or treat) new-onset hypertension decreased from 2002 to 2006 for adult members of 2 large integrated healthcare delivery systems, Kaiser Permanente Northern California and Colorado. Using electronically stored office blood pressure readings, physician diagnoses, and pharmacy prescriptions, we identified 200 587 patients with new-onset hypertension (2002-2006) marked by 2 consecutive elevated blood pressure readings in previously undiagnosed, untreated members. Mean confirmation intervals (time from the first to second consecutive elevated reading) declined steadily from 103 to 89 days during this period. For persons recognized within 12 months after confirmation, the mean interval to recognition declined from 78 to 61 days. However, only 33% of individuals were recognized within 12 months. One third were never recognized during observed follow-up. For these patients, most subsequent blood pressure recordings were not elevated. Higher initial blood pressure levels, history of previous cardiovascular disease, and older age were associated with shorter times to recognition. Times to confirmation and recognition of new-onset hypertension have become shorter in recent years, especially for patients with higher cardiovascular disease risk. Variability in office-based blood pressure readings suggests that further improvements in recognition and treatment may be achieved with more specific automated approaches to identifying hypertension.

Comparative effectiveness of angiotensin-converting enzyme inhibitors versus beta-blockers as second-line therapy for hypertension.

BACKGROUND: Trials comparing hypertension monotherapies have found either no difference or modest differences in blood pressure (BP) and cardiovascular events. However, no trial has assessed the comparative effectiveness of 2nd-line therapy in patients whose BP was not controlled with a thiazide diuretic. METHODS AND RESULTS: This was an observational study conducted with a hypertension registry of adults enrolled in 3 large integrated health care delivery systems from 2002 to 2007. Patients newly started on thiazide monotherapy whose BP remained uncontrolled were observed after addition of either an angiotensin-converting enzyme (ACE) inhibitor or ß-blocker for subsequent BP control and cardiovascular events. Patients for whom either add-on drug was indicated or contraindicated were excluded. After adjustment for patient characteristics and study year, BP control during the subsequent 6 to 18 months was comparable for the 2 agents (70.5% ACE, 69.0% ß-blockers; P=0.09). Rates of incident myocardial infarction (hazard ratio, 1.05; 95% confidence interval, 0.69 to 1.58) and stroke (hazard ratio, 1.01; 95% confidence interval, 0.68 to 1.52) were also similar for the ACE inhibitor and ß-blocker groups during an average of 2.3 years of follow-up. There were also no differences in heart failure or renal function. CONCLUSIONS: ACE inhibitors and ß-blockers are equally effective in lowering BP and preventing cardiovascular events for patients whose BP is not controlled with a thiazide diuretic alone and who have no compelling indication for a specific 2nd-line agent.