International Telemetering Conference Proceedings / October 22-25, 1984 / Riviera Hotel, Las Vegas, Nevada / Blood pressure signals recorded continuously in ambulatory patients using the Oxford system were analyzed by an IBM 370 computer in order to obtain beat by beat systolic and diastolic blood pressure along 24 hour blood pressure recordings. The method of digitizing the signal and the analysis of the sphygmogram are presented and discussed. Synthesis of the several thousands data obtained in 24 hour recordings and plotting of the data for clinical purposes and pharmacological studies are also reported.

Yes / Blood pressure (BP) measurement is increasingly carried out through home or ambulatory monitoring, yet existing cardiovascular risk scores were developed for use with measurements obtained in clinic. To describe differences in cardiovascular risk estimates obtained using ambulatory or home BP measurements instead of clinic readings. Design and setting: Secondary analysis of data from adults aged 30-84 without prior history of cardiovascular disease (CVD) in two BP monitoring studies (BP-Eth and HOMERUS). Method: The primary comparison was Framingham risk calculated using BP measured as in the Framingham study or daytime ambulatory BP measurements. The QRISK2 and SCORE risk equations were also studied. Statistical and clinical significance were determined using the Wilcoxon signed-rank test and scatter plots respectively. Results: In 442 BP-Eth patients (mean age = 58 years, 50% female) the median absolute difference in 10-year Framingham cardiovascular risk calculated using BP measured as in the Framingham study or daytime ambulatory BP measurements was 1.84% (interquartile range 0.65 to 3.63, p=0.67). Only 31/ 442 (7.0%) of patients were reclassified across the 10% risk treatment threshold. In 165 HOMERUS patients (mean age = 56 years, 46% female) the median difference in 10-year risk was 2.76% (IQR 1.19 to 6.39, p<0.001) and only 8/165 (4.8%) of patient were reclassified. Conclusion: Estimates of cardiovascular risk are similar when calculated using BP measurements obtained as in the risk score derivation study or through ambulatory monitoring. Further research is required to determine if differences in estimated risk would meaningfully influence risk score accuracy.

Hypertension, a medical condition, predisposes to other cardiovascular diseases, and can be impacted by the social determinants of health (SDOH). Self-measured blood pressure monitoring (SMBP) is an evidence-based approach to hypertension control, but not much is known about the influence of SDOH on SMBP. This dissertation aims to: 1) highlight the SDOH factors whose relationship with SMBP have been explored in research studies; 2) examine the relationship between SDOH and SMBP among United States (U.S.) adults with high blood pressure; and 3) examine the current state of SMBP in the U.S., highlight policy implications from the empirical study and provide recommendations. Aims 1 and 2 were informed by an adapted SDOH framework, which comprised of upstream structural determinants, and downstream intermediary determinants. Aim 1 was achieved via a scoping review of studies across three databases following the PRISMA-SCR checklist. Aim 2 was achieved via a cross-sectional analysis of data from adult respondents to the 2019 Behavioral Risk Factor Surveillance System, with self-reported hypertension. Bivariate and Multiple Logistic regression analyses were conducted. Aim 3 involved a literature scan on policy concerning SMBP, highlighting the policy implications of findings from the empirical study, and providing recommendations for policy/practice. For aim 1, findings suggest that research studies examined the relationship of relatively more structural determinants, than the few, but highly significant intermediary determinants, with SMBP. For aim 2, looking at the structural determinants, males and those who identify as Black and other minority racial groups were more likely to report SMBP. For intermediary determinants, respondents who consumed fruits, vegetables, and exercised were likely to report SMBP, while those who smoke, who drink, and those with poor mental health days were less likely to report SMBP. Respondents with health coverage and whose provider recommended SMBP were likely to report SMBP use. Those ≥65 years were more likely to report SMBP. For aim 3, I recommend that the Centers for Medicare and Medicaid Services lead policy efforts on SMBP reimbursements. Also, healthcare practices should strengthen their technological infrastructure e.g., telehealth to promote access, and Electronic Health Records to promote efficient data collection and tracking.