Bidirectional texting is an effective way to collect home blood pressure (BP) measurements from subjects, but collecting BP measurements and sending them to physicians does not necessarily lead to decreased BP. Pharmacist interventions have been successful in decreasing subject BP. However, pharmacists are expensive, and in successful interventions, spent a substantial amount of time collecting home BP measurements. In this study, a proven pharmacist intervention will be added to a bidirectional texting program to determine if a combined pharmacist-bidirectional texting intervention is successful at decreasing subject BP and increasing subject BP treatment intensification in a cost-effective manner. This study will be a cluster-randomized, controlled trial of a new intervention.
- Study Type: Interventional
- Study Design
- Allocation: Randomized
- Intervention Model: Parallel Assignment
- Primary Purpose: Treatment
- Masking: Single (Investigator)
- Study Primary Completion Date: December 2021
HTN is associated with the greatest attributable risk for mortality among all modifiable risk factors for cardiovascular disease. In 2014, there were approximately 72 million adults (29%) with HTN in the US. Several clinical trials have demonstrated that antihypertensive medications reduce cardiovascular events. For example, even a 5 mm Hg difference in systolic BP (SBP) over 3-5 years can reduce the risk of cardiovascular complications and strokes by 25-30%. Yet, approximately 20% of U.S. adults are unaware of their HTN, and among patients diagnosed with HTN, 47% are uncontrolled. Thus, there is a critical need to effectively treat patients with HTN.
Clinical inertia has been identified as the primary cause for delays in achieving BP control for over 20 years.[6-8] Providers often discount office BP readings that may be falsely elevated due to observer or measurement error and/or the clinical surroundings (e.g., white coat HTN).[9-11] Patients are often seen only once or twice a year which further delays BP control. Furthermore,[8, 12] BP goals are achieved in only 49% of the patients who take anti-hypertensive medications. New approaches for acquiring more BP readings are also needed to better monitor and titrate treatment because a significant proportion of patients on therapy are not adequately controlled despite frequent physician visits.
Home BP measurements, (i.e., having patients take their BP at home), can facilitate the more timely diagnosis of HTN by reducing diagnostic uncertainty. In fact, home measurements are better prognostic indicators of stroke and cardiovascular mortality than clinic measurements,[13-15] are more closely correlated with end-organ damage from HTN than clinic measurements,[16, 17] are cost effective and well-tolerated by patients, and generate BP readings that are at least as reproducible as clinic readings. Home BP measurements, if available, may help physicians overcome barriers related to clinical inertia. However, the data must be followed by action. The researchers have pioneered physician-pharmacist collaborative management (PPCM) that has been shown to decrease clinical inertia and improve BP control.[21, 22] Pharmacists have been embedded within the medical office to perform BP management. The pharmacists are able to assess patients' needs and provide recommendations to physicians regarding treatment changes, providing patients with timely therapy adjustments. However, many medical office leaders are unable to hire clinical pharmacists due to limited resources. Therefore, a "virtual", remote clinical pharmacy service has been developed. Pharmacists were able to obtain electronic medical record (EMR) access at all intervention offices for private physician offices throughout Iowa. While the physicians accepted 95% of the pharmacists' recommendations, the effect on improving BP was modest (manuscript under review). Adding the proposed texting platform with home BP monitoring should markedly improve the potency of our remote, telepharmacy intervention.
This trial exhibits clinical equipoise because, although it is known that texting is an efficient method for obtaining home BP measurements, and that pharmacist interventions to improve BP are cost-effective, it is not known if combining these two interventions will also be cost effective. There are four reasons why this study might not be successful. First, while meta-analyses have found significantly improved BP with pharmacist interventions some studies were not successful. Second, more data does not necessarily mean better data: patients could report false values, BP could be abnormally low or high during the measurement period, or the data could be ignored. Third, even better data might not lead to better outcomes: data could be ignored by pharmacists, physicians or patients; pharmacists' recommendations could be ignored by physicians or patients. Fourth, even if the study is effective at improving subject outcomes, it might not be cost effective. Texting might not save as much time as hypothesized. Thus, further research is needed to address these gaps in knowledge.
There is a critical need for an easy-to-use, cost-effective, mobile health (m-health) approach to assist patients and healthcare providers with screening, diagnosis, and monitoring of HTN. Small medical offices and those located in poor or rural areas are unable to operationalize team-based care with pharmacists. The researchers have overcome this barrier with the use of a remote clinical pharmacy services. Coronary heart disease deaths could be reduced by 15-20% and stroke deaths by 20-30% if this intervention effectively improves BP and is implemented more widely in primary care offices.
The goal of this proposal is to evaluate whether a scalable, short messaging service (SMS) approach combined with a pharmacist-based intervention improves BP management cost effectively. To achieve this objective, the following specific aims are proposed:
1. Determine if mean BP 12 months after the intervention decreases more for the intervention group than the control group. The working hypothesis is that those in the pharmacist-intervention group will achieve larger BP decreases than those in the control group.
2. Determine if the intervention leads to more intensification of therapy than in the control group. The working hypothesis is that subjects in the pharmacist-intervention group will have more treatment changes than those in the control group.
3. Determine the cost effectiveness of the intervention. The working hypothesis is that the intervention will be cost effective when compared to the control group.
- Other: Experimental: Pharmacist-Bidirectional Texting Group
- The goal of this intervention is to determine if bidirectional texting and pharmacist monitoring will improve blood pressure control.
- Other: Active Comparator: Control Group
- This group will receive bidirectional texting, but no pharmacist monitoring.
Arms, Groups and Cohorts
- Experimental: Pharmacist-Bidirectional Texting Group
- Patients enrolled in the Pharmacist-Bidirectional Texting Group will return 7 morning and 7 evening blood pressure measurements via text message. The report will be shared with a pharmacist who will monitor them for 12 months. The pharmacist will have access to their entire medical record and will provide support and education via text messaging, email, or phone calls, whichever is preferred by the patient. The pharmacist will develop a care plan and make recommendations to the physician through the electronic medical record to quickly adjust therapy to improve control. They will also recommend laboratory testing if indicated. They will have contact with the patient every 2-3 weeks while blood pressure is uncontrolled, and at least every 2 months when it is controlled. The pharmacist will track all recommendations made to physicians and whether or not they were implemented, modified, or rejected.
- Active Comparator: Control Group
- Patients randomized to the control group will also return 7 morning and 7 evening blood pressure measurements. The report will be shared with a pharmacist who will call the patient to discuss the measurements and possibly recommend follow up with a physician, but no other pharmacist intervention or monitoring will occur during the 12 months.
Clinical Trial Outcome Measures
- Change in Systolic Blood Pressure- 12 Months
- Time Frame: 12 months
- Change from baseline in systolic blood pressure in mm Hg at 12 months.
- Change in Diastolic Blood Pressure- 12 Months
- Time Frame: 12 months
- Change from baseline in diastolic blood pressure in mm Hg at 12 months.
- Number of Medication Changes in 12 Months
- Time Frame: 12 months
- Total number of medication changes (i.e., dose, discontinuation, initiation, etc.) from baseline as documented in the medical record.
- Dollars Spent per Patient for 12 Month Bidirectional Texting/Pharmacist Intervention
- Time Frame: 12 months
- Total cost of medications, time spent by research staff, and clinics visits per patient from baseline.
Participating in This Clinical Trial
- Fluent in English or Spanish
- Have a clinic measured blood pressure of > or = 145 mmHg and/or > or = 95 mmHg at two previous clinic visits or one previous clinic visit and on the day of enrollment
- Must be a patient at Family Medicine, River Crossings, Scott Blvd, or Muscatine University of Iowa Clinics
- Live in a zip code that is scored as a 4-10 on the Rural-Urban Commuting Area codes
- Currently pregnant or planning to become pregnant in the next year
- Upper arm circumference greater than 50 cm (20 in)
- Prisoner status
- Unable to provide own informed consent
Gender Eligibility: All
Minimum Age: 21 Years
Maximum Age: 100 Years
Are Healthy Volunteers Accepted: No
- Lead Sponsor
- Linnea Polgreen
- National Heart, Lung, and Blood Institute (NHLBI)
- Provider of Information About this Clinical Study
- Sponsor-Investigator: Linnea Polgreen, Associate Professor, Department of Pharmacy Practice and Science / Division of Health Services Research – University of Iowa
- Overall Official(s)
- Linnea A Polgreen, PhD, Principal Investigator, University of Iowa
- Overall Contact(s)
- Linnea A Polgreen, PhD, (319) 384-3024, firstname.lastname@example.org
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