Abstract 4140639: Efficacy of Remote Patient Monitoring in Managing Hypertension in Federally Qualified Health Centers versus Primary Care Settings

Background: Remote patient monitoring (RPM) has proven highly effective in managing hypertension (HTN). A key strength of RPM lies in its ability to continuously monitor patients, especially those with limited access to traditional healthcare settings. Hypothesis: Do patients in Federally Qualified Health Centers (FQHCs) respond to RPM for HTN management as effectively as patients in traditional primary care settings (PC)? Goals/Aims: To compare the effectiveness of RPM between FQHC and traditional primary care populations. Specifically, we focused on patients who transmitted data at least 50% of the time, consistent with the CPT code for RPM billing, and who had been on the program for at least one year. Methods: Patients were equipped with cellular-enabled BP cuffs. Clinical staff met monthly with patients to review data and discuss lifestyle changes. Patients with an average SBP ≥140 mmHg or DBP ≥90 mmHg during the first 7 days, enrolled for ≥365 days, and transmitted data ≥50% of days, were analyzed. Data comparisons were made between the average of the first seven BP readings and the last seven BP readings. Results/Data: The PC group (n = 495) averaged 640 ± 280 days on the program, while FQHC patients (n = 429) averaged 599 ± 136 days. Both groups demonstrated significant improvements (p < 0.0001) with RPM. PC patients reduced SBP from 150.7 to 135.2 mmHg (-15.5), and FQHC patients improved from 152.3 to 134.9 mmHg (-17.4). Baseline and final SBP readings were not significantly different between groups. DBP also markedly improved (P < 0.0001): PC from 86.4 to 77.7 mmHg (-8.7 mmHg) and FQHC from 92.4 to 81.9 mmHg (-10.6 mmHg). FQHC patients had higher DBP at both baseline and study end (p < 0.0001). Surprisingly, FQHC patients experienced a greater improvement in mean arterial pressure (MAP) compared to PC patients (-11.1% vs. -9.9%; p < 0.05). Average transmission frequency was higher in PC patients (73.3%) compared to FQHC patients (70.3%; p < 0.01). Conclusion: RPM significantly improves HTN management, leading to substantial reductions in blood pressure and MAP in both FQHC and primary care populations. These findings support RPM as an effective tool for managing hypertension remotely and enhancing health equity, making it a valuable strategy in diverse healthcare settings.

Authors

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4140639
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4140639: Efficacy of Remote Patient Monitoring in Managing Hypertension in Federally Qualified Health Centers versus Primary Care Settings

Clare Flanagan, Brett Colbert, Wesley Smith, Kevin J. Davis
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4140639: Efficacy of Remote Patient Monitoring in Managing Hypertension in Federally Qualified Health Centers versus Primary Care Settings

Clare Flanagan, Brett Colbert, Wesley Smith, Kevin J. Davis
article en

Abstract

Background: Remote patient monitoring (RPM) has proven highly effective in managing hypertension (HTN). A key strength of RPM lies in its ability to continuously monitor patients, especially those with limited access to traditional healthcare settings. Hypothesis: Do patients in Federally Qualified Health Centers (FQHCs) respond to RPM for HTN management as effectively as patients in traditional primary care settings (PC)? Goals/Aims: To compare the effectiveness of RPM between FQHC and traditional primary care populations. Specifically, we focused on patients who transmitted data at least 50% of the time, consistent with the CPT code for RPM billing, and who had been on the program for at least one year. Methods: Patients were equipped with cellular-enabled BP cuffs. Clinical staff met monthly with patients to review data and discuss lifestyle changes. Patients with an average SBP ≥140 mmHg or DBP ≥90 mmHg during the first 7 days, enrolled for ≥365 days, and transmitted data ≥50% of days, were analyzed. Data comparisons were made between the average of the first seven BP readings and the last seven BP readings. Results/Data: The PC group (n = 495) averaged 640 ± 280 days on the program, while FQHC patients (n = 429) averaged 599 ± 136 days. Both groups demonstrated significant improvements (p < 0.0001) with RPM. PC patients reduced SBP from 150.7 to 135.2 mmHg (-15.5), and FQHC patients improved from 152.3 to 134.9 mmHg (-17.4). Baseline and final SBP readings were not significantly different between groups. DBP also markedly improved (P < 0.0001): PC from 86.4 to 77.7 mmHg (-8.7 mmHg) and FQHC from 92.4 to 81.9 mmHg (-10.6 mmHg). FQHC patients had higher DBP at both baseline and study end (p < 0.0001). Surprisingly, FQHC patients experienced a greater improvement in mean arterial pressure (MAP) compared to PC patients (-11.1% vs. -9.9%; p < 0.05). Average transmission frequency was higher in PC patients (73.3%) compared to FQHC patients (70.3%; p < 0.01). Conclusion: RPM significantly improves HTN management, leading to substantial reductions in blood pressure and MAP in both FQHC and primary care populations. These findings support RPM as an effective tool for managing hypertension remotely and enhancing health equity, making it a valuable strategy in diverse healthcare settings.

CirculationVol. 150(Suppl_1)
Quality Education
Openalex Percentile: Top 62%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.