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Piloting Healthcare Coordination in Hypertension

Piloting Healthcare Coordination in Hypertension

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02988193
Acronym
PRECISION
Enrollment
28
Registered
2016-12-09
Start date
2015-12-31
Completion date
2017-02-28
Last updated
2019-09-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hypertension

Keywords

clinical reasoning artificial intelligence, poorly controlled hypertension

Brief summary

The PRECISION study investigates the possibility of integrating a clinical decision support analytic intelligence into the clinical care flow at University of California San Francisco Medical Center (UCSF MC). optima-for-blood pressure \[optima4BP\], our innovation, transforms the episodic and reactive nature of uncontrolled HTN pharmacological treatment management into a process that is continuous, proactive, and personalized. In addition, the clinical adoption of this technology of the future will be investigated to establish its feasibility in being embedded into the clinical care flow. Today's hypertension (HTN) management paradigm often fails to align current patient health status with the most effective medication treatment. Without surveillance and rapid-cycles analysis of current patient health status and treatment efficacy, HTN management remains a struggle. optima4BP addresses pharmacological intervention management by identifying the need for a drug treatment change and recommending the most appropriate drug optimization. The PRECISION study represent a pilot trial intended to address 2 critical design components of optima4BP: 1. Can optima4BP interoperate with multiple IT platforms to collect and distribute data? 2. What is the treating physician confidence in using optima4BP?

Detailed description

Goal: Conduct a prospective randomized pilot clinical trial embedded within the care delivery system at UCSF Medical Center (UCSF). It is intended to evaluate the efficacy of optima4BP in improving care coordination for patients with uncontrolled hypertension (HTN). Although optima4BP has been evaluated during patient-physician office visits, it has not been evaluated for its efficacy to support treatment changes remotely, over time. PRECISION investigates this aspect and its impact on stakeholders (physicians and patients). The outcomes will set the stage for a scaled-up study of 300 patients at UCSF. Study Design: The patients will be randomized to 2 arms (a) optima4BP surveillance and treatment recommendation support (O4BP); (b) usual care (UC) - usual care seen appropriate by the treating physician). NOTE: The original design prior to study initiation considered a 3 arms randomization which would also include: enhanced care (EC) representing a step up from UC by providing the physician with raw remotely collected BP values sent on a monthly cycle. However, this arm was abandoned at enrollment because patients in the UC arm were proactively reaching out to their physicians with remotely collected BP values from the Qardio® device therefore rendering the initially projected Extended Care arm unuseful. Every 30 days, the collection of patient information will be followed by an arm-specific action. For identified patients in need of a medication change, O4BP physicians will receive a treatment change recommendation for review. UC physicians will not receive any information. All patients will undergo at least 2 in-office visits, a baseline visit and an exit visit. All patients will be asked to provide every 30 days the following information: (a) adherence to current HTN treatment; and (b) experienced side-effects and severity. The communication will be performed via e-mail between Health-e-Heart (HeH) automated system (https://www.health-eheartstudy.org/) and the patient. HeH will automatically obtain BP values from the remote monitors provided to each patient.

Interventions

DEVICEoptima4BP Medication Management

A clinical reasoning expert system is used to determine the need for a medication treatment optimization. If a treatment optimization is needed, the expert system generates a recommendation that is sent to the treating physician.

Sponsors

University of California, San Francisco
CollaboratorOTHER
Optima Integrated Health
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Intervention model description

The medication treatment intervention between arms differs in that the optima4BP arm uses an analytic intelligence algorithm to optimize drug treatment.

Eligibility

Sex/Gender
ALL
Age
21 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

* UCSF General Medicine patient * 2 or more values on consecutive office visits within 12 months: systolic blood pressure (SBP) \> 140 mmHg or diastolic blood pressure (DBP) \> 90 * Therapy with at least 2 anti-hypertensive pharmacological classes at the time of the last office visit

Exclusion criteria

* Does not own a smartphone * Does not speak or read English * Planning to leave UCSF in the next year * Has a treating physician who refuses to enroll patients * Treating physician states that: Patient cannot manage Qardio® arm blood pressure (BP) device (due to cognitive, psychological, physical or other problems), or Patient is already at goal, or Should not participate in the study for any other reason * Non-compliance with medical follow-up (frequent no shows) * Planned coronary revascularization in the next 6 months * Myocardial infarction, stroke, coronary revascularization, cardiac or aortic surgery in the last 3 months

Design outcomes

Primary

MeasureTime frameDescription
Clinical Adoption of a Decision Support Artificial Intelligence6 monthsTotal number of participants that undergone a treatment change. This measure allows to evaluate the adoption of the optima4BP treatment recommendation based on the total number of patients that benefited from a treatment recommendation that was implemented by the treating physician.

Countries

United States

Participant flow

Participants by arm

ArmCount
optima4BP Medication Management
optima4BP will provide a monthly medication optimization to the treating physician for review and subsequent implementation. The Treatment Recommendation will consist of: 1. curated blood pressure (BP) and heart rate (HR) values reported by the patient through the use of home monitoring BP arm cuff; 2. medication treatment recommendation; 3. active link to access additional analysis tools. optima4BP Medication Management: A clinical reasoning expert system is used to determine the need for a medication treatment optimization. If a treatment optimization is needed, the expert system generates a recommendation that is sent to the treating physician.
12
Usual Care Medication Management
Usual Care Medication Management will follow medication treatment management according to the physician preference. The treating physician will not be provided with a medication optimization recommendation, nor with monthly curated BP and HR values.
16
Total28

Baseline characteristics

CharacteristicUsual Care Medication ManagementTotaloptima4BP Medication Management
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
16 Participants28 Participants12 Participants
Age, Categorical
Between 18 and 65 years
0 Participants0 Participants0 Participants
Age, Continuous69 years
STANDARD_DEVIATION 5
70 years
STANDARD_DEVIATION 1.4
71 years
STANDARD_DEVIATION 3
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
4 Participants6 Participants2 Participants
Race (NIH/OMB)
Black or African American
0 Participants0 Participants0 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
12 Participants22 Participants10 Participants
Region of Enrollment
United States
16 participants28 participants12 participants
Sex: Female, Male
Female
6 Participants13 Participants7 Participants
Sex: Female, Male
Male
10 Participants15 Participants5 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 120 / 16
other
Total, other adverse events
0 / 120 / 16
serious
Total, serious adverse events
0 / 120 / 16

Outcome results

Primary

Clinical Adoption of a Decision Support Artificial Intelligence

Total number of participants that undergone a treatment change. This measure allows to evaluate the adoption of the optima4BP treatment recommendation based on the total number of patients that benefited from a treatment recommendation that was implemented by the treating physician.

Time frame: 6 months

Population: Clinical adoption based on physician acceptance of the treatment recommendation

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
optima4BP Treatment ManagementClinical Adoption of a Decision Support Artificial Intelligence10 Participants
Usual Care Treatment ManagementClinical Adoption of a Decision Support Artificial Intelligence3 Participants

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026