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Key Points Question How long does blood pressure remain lower compared with usual care after a 12-month intensive intervention (home telemonitoring and pharmacist management)? Findings In this follow-up of a cluster randomized trial of 326 patients with uncontrolled hypertension, research clinic measurements showed that home blood pressure telemonitoring with pharmacist management lowered blood pressure more than usual care in the first 18 months, but this was not sustained through 54 months. The results from routine clinical measurements suggested significantly lower blood pressure in the intervention group for up to 24 months. Meaning Long-term maintenance strategies may be needed to sustain blood pressure intervention effects over several years.

To examine the association of BMI percentile and change in BMI percentile to change in blood pressure (BP) percentile and development of hypertension (HTN). METHODS:This retrospective cohort included 101 606 subjects age 3 to 17 years from 3 health systems across the United States. Height, weight, and BPs were extracted from electronic health records, and BMI and BP percentiles were computed with the appropriate age, gender, and height charts. Mixed linear regression estimated change in BP percentile, and proportional hazards regression was used to estimate risk of incident HTN associated with BMI percentile and change in BMI percentile. RESULTS:The largest increases in BP percentile were observed among children and adolescents who became obese or maintained obesity. Over a median 3.1 years of follow-up, 0.3% of subjects developed HTN. Obese children ages 3 to 11 had twofold increased risk of developing HTN compared with healthy weight children. Obese children and adolescents had a twofold increased risk of developing HTN, and severely obese children had a more than fourfold increased risk. Compared with those who maintained a healthy weight, children and adolescents who became obese or maintained obesity had a more than threefold increased risk of incident HTN. CONCLUSIONS:We observed a strong, statistically significant association between increasing BMI percentile and increases in BP percentile, with risk of incident HTN associated primarily with obesity. The adverse impact of weight gain and obesity in this cohort over a short period underscores the early need for effective strategies for prevention of overweight and obesity. Research, Kaiser Permanente Colorado, Denver, Colorado; e Department of Pediatrics, Kaiser Permanente San Francisco, San Francisco, California; and f Division of Research, Kaiser Permanente Northern California, Oakland, California Dr Parker conceptualized the study design, assembled the data set, conducted all analyses, and drafted the initial manuscript; Dr Sinaiko conceptualized the overall study that developed these data, assisted in the development of the current study, and edited the manuscript; Dr Kharbanda contributed to study conceptualization and design and critically reviewed and provided feedback on the manuscript; Dr Margolis contributed to the study design and provided critical review for drafts of the manuscript; Drs Daley and Sherwood and Ms Trower contributed to the data collection and analysis and critically reviewed the fi nal manuscript; Dr Greenspan contributed to data collection and critically reviewed and provided feedback on the manuscript; Dr Lo contributed to the cohort assembly and data collection, critically reviewed study results, and provided content edits to the manuscript; Dr Magid participated in assembling the data set and reviewed study results and the initial manuscript; Dr O'Connor conceptualized the overall study and development of the current study, reviewed study results, and critically reviewed the manuscript; and all authors approved the...

Background Pharmacist-managed (team-based) care for hypertension with home blood pressure monitoring support interventions have been widely studied and shown to be effective in improving rates of hypertension control and lowering blood pressure; however, few studies have evaluated the economic considerations related to bringing these programs into usual practice. Objective To analyze the economic outcomes of the Blood Pressure Telemonitoring and Pharmacist Management on Blood Pressure (Hyperlink) study, a cluster randomized controlled trial which used home blood pressure telemonitoring and pharmacist case management to achieve better blood pressure control in patients with uncontrolled hypertension. Methods A prospective analysis compared differences in medical costs and encounters in the Hyperlink telemonitoring intervention and usual care groups in the 12 months pre- and post-enrollment using medical and pharmacy insurance claims from a health care sector perspective. Generalized estimating equation models were used to estimate differences between groups over time. These results, combined with previously published prospective study results on intervention costs and blood pressure outcomes, were used to estimate cost-effectiveness measures for blood pressure control and reduction. Findings Total medical costs in the intervention group were lower compared with the usual care group by an average of $281 per person, but this difference was not statistically significant. Clinic-based office visit, radiology, pharmacy, and hospital costs were also non-significantly lower in the intervention group. Statistically significant differences were found in lipid-related laboratory costs (higher) and in hypertension- (higher) and lipid-related (lower) pharmacy costs. Patterns in medical costs were similar for medical encounters. On average, the intervention cost $7337 per person achieving hypertension control and $139 or $265 per mm Hg reduction in systolic or diastolic blood pressure, respectively. Conclusions Home blood pressure monitoring and pharmacist case management to improve hypertension care can be implemented without increasing, and potentially reducing, overall medical care costs.

BACKGROUND: It is important to understand which components of successful multifaceted interventions are responsible for study outcomes, since some components may be more important contributors to the intervention effect than others. OBJECTIVE: We conducted a mediation analysis to determine which of seven factors had the greatest effect on change in systolic blood pressure (BP) after 6 months in a trial to improve hypertension control. DESIGN: The study was a preplanned secondary analysis of a cluster-randomized clinical trial. Eight clinics in an integrated health system were randomized to provide usual care to their patients (n=222), and eight were randomized to provide a telemonitoring intervention (n=228). PARTICIPANTS: Four hundred three of 450 trial participants completing the 6-month follow-up visit were included. INTERVENTIONS: Intervention group participants received home BP telemonitors and transmitted measurements to pharmacists, who adjusted medications and provided advice to improve adherence to medications and lifestyle modification via telephone visits. MAIN MEASURES: Path analytic models estimated indirect effects of the seven potential mediators of intervention effect (defined as the difference between the intervention and usual care groups in change in systolic BP from baseline to 6 months). The potential mediators were change in home BP monitor use, number of BP medication classes, adherence to BP medications, physical activity, salt intake, alcohol use, and weight. KEY RESULTS: The difference in change in systolic BP was 11.3 mmHg. The multivariable mediation model explained 47 % (5.3 mmHg) of the intervention effect. Nearly all of this was mediated by two factors: an increase in medication treatment intensity (24 %) and increased home BP monitor use (19 %). The other five factors were not significant mediators, although medication adherence and salt intake improved more in the intervention group than in the usual care group. CONCLUSIONS: Most of the explained intervention effect was attributable to the combination of self-monitoring and medication intensification. High adherence at baseline and the relatively low intensity of resources directed toward lifestyle change may explain why these factors did not contribute to the improvement in BP.