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. Author manuscript; available in PMC: 2014 Jul 8.
Published in final edited form as: JAMA Intern Med. 2013 Jul 8;173(13):1250–1252. doi: 10.1001/jamainternmed.2013.1037

Online First Blood Pressure 1 Year After Completion of Web-Based Pharmacist Care

Beverly B Green 1, Melissa L Anderson 1, James D Ralston 1, Sheryl L Catz 1, Andrea J Cook 1
PMCID: PMC3938109  NIHMSID: NIHMS556267  PMID: 23689927

Meta-analyses provide strong evidence that blood pressure (BP) control improves with “team-based” hypertension care provided by a health professional such as a pharmacist or nurse, separate from physician care.1 Few studies have analyzed whether team care leads to sustained BP reductions after the end of an intervention.

In the Electronic Communications and Home Blood Pressure Trial (e-BP),2 patients with uncontrolled BP were registered to use an existing patient website (with a patient-shared electronic health record [EHR] and secure e-mail) and randomly assigned to receive the following interventions: (1) usual care (UC), (2) home BP monitoring (BPM) and website training, or (3) BPM and website training plus pharmacist team-care delivered via the website (Pharm). At the end of the 1-year intervention, Pharm patients were twice as likely to have controlled BP.2 Our objective was to determine if BP reductions were sustained after the intervention ended.

Methods

Details of the study design3 and main study results2 have been previously published. The Group Health institutional review board approved all study procedures.

We collected all BPs available in the EHR from participants’ primary care visits between 18 and 30 months after randomization (approximately 6 to 18 months after completion of all interventions). If more than 1 BP was available, the BP closest to 24 months (defined as 1-year after intervention) was used. Primary outcomes included change in baseline systolic BP (SBP) and diastolic BP (DBP) and BP control at 1 year after intervention. Secondary outcomes, including number (by class)2 and adherence to4 antihypertensive medications and utilization of health care services, were calculated using automated data. Preplanned subanalyses included assessments of the patients with a baseline SBP of 160 mm Hg or higher.

Analysis was limited to trial participants with a BP measurement in the EHR from a primary care visit in the defined period (N=618, after 160 were excluded). Linear regression models were used to evaluate changes in BP from baseline. A modified Poisson regression approach, using generalized linear models with a log-link linear and a robust sandwich variance estimator, was used to estimate the relative risk (RR) of BP control5 (SBP <140 mm Hg and DBP <90 mm Hg). Regression models were adjusted for baseline BP, sex, prestudy home BP monitoring use, clinic, and time between the end of the intervention and the EHR BP measurement. To protect against multiple comparisons, the Fisher protected least significant difference approach was used; pairwise comparisons were made between intervention groups only if the overall omnibus test result was significant.6 Analyses of secondary outcomes were unadjusted. All analyses used Stata statistical software, version 12.0 (StataCorp).

Results

Of the 778 patients enrolled in the trial, 725 (93%) remained enrolled in Group Health (49 had disenrolled and 4 had died) and 618 (79%) had a BP measurement recorded in the EHR 1-year after intervention. Characteristics of the 618 patients with BPs were comparable across randomization groups and were similar to those excluded, except for less prestudy home BP monitoring prior to the study in those excluded.

At 1-year after intervention, all 3 groups had lower SBP and DBP compared with baseline (Table), with the Pharm group having significantly larger decreases in SBP than UC and BPM (difference in adjusted mean change, −3.6 mm Hg [P=.02], and −6.8 mm Hg [P < .001], respectively). Change in DBP did not differ between groups. The Pharm group had higher rates of BP control compared with the UC group (P=.11) and had significantly higher rates of BP control compared with the BPM group (P=.01) (UC, 52%; BPM, 48%; and Pharm, 60%).

Table.

Blood Pressure (BP) Outcomes 1 Year After Interventionsa

Variable UC BPM Pharm P Values for Differences Between Groups
Overallb UC vs BPMc UC vs Pharmc BPM vs Pharmc
All e-BP participants (N = 618), No. 202 209 207
 SBP, mean (95% CI), mm Hg
  Unadjusted mean 137.7 (135.4 to 140.0) 140.9 (138.6 to 143.1) 134.3 (132.1 to 136.6) <.001 .05 .04 <.001
  Adjusted mean changed −14.1 (−16.3 to −11.9) −10.9 (−13.1 to −8.7) −17.7 (−19.9 to −15.5) <.001 .04 .02 <.001
 DBP, mean (95% CI), mm Hg
  Unadjusted mean 80.1 (78.7 to 81.6) 80.5 (79.1 to 81.9) 78.5 (77.1 to 80.0) .13 .71 .12 .06
  Adjusted mean changed −9.2 (−10.5 to −7.9) −8.4 (−9.7 to −7.1) −10.2 (−11.5 to −8.9) .17 .38 .31 .06
 BP controlled
  Unadjusted, % (95% CI) 52 (46 to 59) 48 (42 to 55) 60 (54 to 67) .04 .40 .11 .01
  Adjusted RR (95% CI)e 1 [Reference] 0.93 (0.77 to 1.13) 1.18 (0.99 to 1.40) .02 .47 .06 .01
e-BP participants with baseline SBP ≥160 mm Hg (n = 132), No. 44 43 45
 SBP, mean (95% CI), mm Hg
  Unadjusted mean 144.9 (139.7 to 150.0) 148.9 (143.7 to 154.1) 135.9 (130.8 to 141.0) .002 .28 .02 <.001
  Adjusted mean changed −21.1 (−26.6 to −15.6) −20.4 (−26.0 to −14.9) −31.6 (−37.0 to −26.3) .006 .86 .009 .005
 DBP, mean (95% CI), mm Hg
  Unadjusted mean 79.9 (77.0 to 82.8) 81.1 (78.2 to 84.1) 78.9 (76.0 to 81.8) .56 .56 .62 .28
  Adjusted mean changed −10.1 (−12.9 to −7.2) −9.7 (−12.6 to −6.9) −11.8 (−14.5 to −9.1) .54 .86 .40 .30
 BP controlled
   Unadjusted, % (95% CI) 34 (20 to 48) 23 (10 to 36) 56 (41 to 70) .008 .27 .05 .005
  Adjusted RR (95% CI)e 1 [Reference] 0.92 (0.45 to 1.89) 1.87 (1.13 to 3.10) .001 .82 .02 .02

Abbreviations: BPM, home blood pressure monitoring; DBP, diastolic blood pressure; e-BP, Electronic Communications and Home Blood Pressure Trial; Pharm, pharmacist team-care; RR, relative risk; SBP, systolic blood pressure; UC, usual care.

a

The BPs were available in the electronic health record between 6 and 18 months after the e-BP study ended.

b

P value from an F test for continuous outcomes and likelihood ration χ2 test for binary outcomes for the omnibus test for a difference between any of the 3 study groups.

c

P value from a Wald t test for continuous outcomes and a Wald z test for binary outcomes comparing a difference between the 2 intervention groups.

d

Estimated mean change in the BP outcome from baseline in a linear regression model adjusted for baseline outcome, sex, BPM, clinic (with mean baseline covariate values based on the entire randomized population), and time to follow-up BP measurement.

e

Estimated RR comparing each intervention group with UC for the outcome of controlled BP in a modified Poisson regression model adjusted for baseline SBP, sex, BPM, clinic, and time to follow-up BP measurement.

In patients with a BP of 160mmHg or higher at baseline, BP control was 34%, 23%, and 56% in the UC, BPM, and Pharm groups (adjusted relative risk of controlled BP [Pharm vs UC], 1.87 [95% CI, 1.06 to 3.17]), with an adjusted difference in mean change in SBP of −10.5 (95% CI, −18.3 to −2.7 mm Hg) (Pharm vs UC).

The mean number of antihypertensive classes was significantly higher in the Pharm and BPM groups compared with the UC group. Adherence was high for all groups but significantly higher in the Pharm and BPM groups than in the UC group (eTable). Primary care and hospital utilization did not differ by group (eTable).

Discussion

Web-delivered pharmacy team care resulted in greater reductions in SBP and improved BP control 6 to 18 months after the completion of interventions. Similar to Wentzlaff et al7 and Carter et al,8 the control group (UC) continued to improve, and differences between groups narrowed. In our study team care, BP benefits occurred mainly in those with more severe hypertension at baseline, with Web-based pharmacist team patients almost twice as likely to have controlled BP. Limitations included reliance on a single EHR BP measurement9 and no EHR BP measurement recorded in 21% of study participants. However, significant differences in BP persisted in sensitivity analyses that assumed that BP remained unchanged from baseline for those without EHR BP measurements. More studies are needed to assess BP and clinical outcomes at longer intervals and whether team-care booster interventions improve these outcomes.

Acknowledgments

Funding/Support: This research was funded by a grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health (Electronic Communications and Blood Pressure Monitoring [e-BP]: grant R01-HL075263).

Role of the Sponsor: The funding agency had no role in the study design, analysis, or interpretation of data; decision regarding publication; or preparation of this article.

Footnotes

Author Contributions: Ms Anderson and Dr Cook had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Green, Ralston, Catz, and Cook. Acquisition of data: Green. Analysis and interpretation of data: Green, Anderson, Ralston, Catz, and Cook. Drafting of the manuscript: Green and Anderson. Critical revision of the manuscript for important intellectual content: Green, Anderson, Ralston, Catz, and Cook. Statistical analysis: Green, Anderson, and Cook. Obtained funding: Ralston. Administrative, technical, and material support: Green. Study supervision: Green.

Additional Contributions: Robert S. Thompson, MD (emeritus director, Group Health Department of Preventive Medicine) contributed to the study design; Paul Fishman, PhD (senior investigator, health services and economics) contributed to the study design and analysis; and Jim Carlson, PharmD, Danette Feuling, RPh, Shannon Clarke, PharmD, and Jilene Winther, PharmD, assisted in the study as clinical pharmacists.

Conflict of Interest Disclosures: Dr Ralston has received grant funding from sanofi-aventis.

Online-Only Material: The eTable is available at http://www.jamainternalmed.com.

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