Fernüberwachung und virtuelle kollaborative Pflege zur Kontrolle des Bluthochdrucks zur Verhinderung eines kognitiven Rückgangs, Phase II (vCCC 2)

The participant will be provided with educational material and a home BP monitor. Control participants will continue to see their physicians for their usual care for BP management (their BP data will not be reviewed by pharmacists and the patients will not have support from vCCC pharmacists)

Participants will partake in the virtual collaborative care clinic

Trained clinical pharmacists will monitor BP, prescribe and adjust medications and monitor for side effects of medications under the license of, and in communication with, the patient's physician.

Our primary outcome is achieving SBP control (<130 mmHg). Blood pressure measures will be collected in a dashboard system and will be integrated into the common data model table for final analysis. Investigators will utilize the Benjamini-Hochberg approach to control for multiple testing in our primary outcome.

Investigators will use composite z score obtained by averaging standardized z scores of individual NP test scores and use z scores of individual tests to determine changes in a single test that may be obscured with the measurement of a global score. The tests are Montreal Cognitive Assessment (MoCA) Blind, Rey Auditory Verbal Learning Test (RAVLT), Number Span Forwards and Backwards (NSFB), Oral Trail Making Test (OTMT), Category Fluency, Verbal Fluency, Rey Auditory Verbal Naming Test Delayed Recall and Recognition, and Verbal Naming Test (VNT). MoCA Blind has 22 possible points, with19 or above normal. NSFB gives 2 scores, total number of correct trials and longest sequence repeated correctly with higher score indicating better working memory. The category fluency has 2 possible scores with a higher number of unique names indicating a better semantic memory. For the Verbal Fluency test the score reflects the number of unique responses with a higher score indicating better memory

Data from the electronic health record (EHR) will be extracted. MACE will be identified by will be identified by International Statistical Classification of Diseases and Related Health Problems (ICD) and Current Procedural Terminology (CPT) codes for hospitalization due to myocardial infarction (MI), nonfatal stroke, coronary revascularization, and heart failure, which will be identified by combining observations from EHR

Data from the EHR will be extracted. (ASCVD) score will be estimated by age, sex, race, BP, total cholesterol, HDL cholesterol, history of diabetes, smoking status, HTN treatment, statin and aspirin therapy. ASCVD score is given as a percentage. A 0 to 4.9% risk is considered low risk, 5 to 7.4% is considered borderline, a 7.5 to 20% risk is considered intermediate, and a score above 20% is considered high.

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include charges per patient (measured as total and average dollar amount of charges).

All-cause mortality, as a composite endpoint, will be obtained from Common Data Model DEATH table and be ascertained by linked Medicare Beneficiary Summary File available from Centers for Medicare and Medicaid Services (CMS)

Our primary outcome is achieving SBP control (<130 mmHg). Blood pressure measures will be collected in a dashboard system and will be integrated into the common data model table for final analysis. Investigators will utilize the Benjamini-Hochberg approach to control for multiple testing in our primary outcome.

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include healthcare-facility-metrics, such as carrier (physician Part B) claims (measured as total and average counts of distinct claims)

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include outpatient, inpatient, skilled nursing facility claims (measured as total and average counts of distinct claims).

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include component-of-care metrics, such as coronary care claims (measured as total and average counts of distinct claims)

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include component-of-care metrics, such as coronary care expenditures (measured as total and average dollar amount of charges) per patient

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include component-of-care metrics, such as coronary care unit days (measured as total length of stay in coronary care unit).

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include component-of-care metrics, such as ICU days (measured as total length of ICU stay) per patient.

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include component-of-care metrics such as general drugs and/or IV therapy claims (measured as total and average counts of distinct claims) per patient.

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include component-of-care metrics such as durable medical equipment Medicare payments (measured as total and average dollar amount of charges) per patient.

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include component-of-care metrics such as imaging and laboratory events (measured as total and average counts of distinct claims suggesting imaging and laboratory events).

Health utilization outcome measurement will be ascertained mainly by CMS claims data. The utilization outcome measurement will include component-of-care metrics such as imaging and laboratory expenditures (measured as total and average dollar amount of charges) per patient.