Clinic, Home, and Kiosk Blood Pressure Measurements for Diagnosing Hypertension: a Randomized Diagnostic Study.

blood pressure determination, blood pressure monitoring, ambulatory blood pressure monitoring, home diagnosis hypertension

Journal

Journal of general internal medicine
ISSN: 1525-1497
Titre abrégé: J Gen Intern Med
Pays: United States
ID NLM: 8605834

Informations de publication

Date de publication:
09 2022
Historique:
received: 15 05 2021
accepted: 05 01 2022
pubmed: 4 3 2022
medline: 23 9 2022
entrez: 3 3 2022
Statut: ppublish

Résumé

The US Preventive Services Task Force recommends blood pressure (BP) measurements using 24-h ambulatory monitoring (ABPM) or home BP monitoring before making a new hypertension diagnosis. Compare clinic-, home-, and kiosk-based BP measurement to ABPM for diagnosing hypertension. Diagnostic study in 12 Washington State primary care centers, with participants aged 18-85 years without diagnosed hypertension or prescribed antihypertensive medications, with elevated BP in clinic. Randomization into one of three diagnostic regimens: (1) clinic (usual care follow-up BPs); (2) home (duplicate BPs twice daily for 5 days); or (3) kiosk (triplicate BPs on 3 days). All participants completed ABPM at 3 weeks. Primary outcome was difference between ABPM daytime and clinic, home, and kiosk mean systolic BP. Differences in diastolic BP, sensitivity, and specificity were secondary outcomes. Five hundred ten participants (mean age 58.7 years, 80.2% white) with 434 (85.1%) included in primary analyses. Compared to daytime ABPM, adjusted mean differences in systolic BP were clinic (-4.7mmHg [95% confidence interval -7.3, -2.2]; P<.001); home (-0.1mmHg [-1.6, 1.5];P=.92); and kiosk (9.5mmHg [7.5, 11.6];P<.001). Differences for diastolic BP were clinic (-7.2mmHg [-8.8, -5.5]; P<.001); home (-0.4mmHg [-1.4, 0.7];P=.52); and kiosk (5.0mmHg [3.8, 6.2]; P<.001). Sensitivities for clinic, home, and kiosk compared to ABPM were 31.1% (95% confidence interval, 22.9, 40.6), 82.2% (73.8, 88.4), and 96.0% (90.0, 98.5), and specificities 79.5% (64.0, 89.4), 53.3% (38.9, 67.2), and 28.2% (16.4, 44.1), respectively. Single health care organization and limited race/ethnicity representation. Compared to ABPM, mean BP was significantly lower for clinic, significantly higher for kiosk, and without significant differences for home. Clinic BP measurements had low sensitivity for detecting hypertension. Findings support utility of home BP monitoring for making a new diagnosis of hypertension. ClinicalTrials.gov NCT03130257 https://clinicaltrials.gov/ct2/show/NCT03130257.

Sections du résumé

BACKGROUND
The US Preventive Services Task Force recommends blood pressure (BP) measurements using 24-h ambulatory monitoring (ABPM) or home BP monitoring before making a new hypertension diagnosis.
OBJECTIVE
Compare clinic-, home-, and kiosk-based BP measurement to ABPM for diagnosing hypertension.
DESIGN, SETTING, AND PARTICIPANTS
Diagnostic study in 12 Washington State primary care centers, with participants aged 18-85 years without diagnosed hypertension or prescribed antihypertensive medications, with elevated BP in clinic.
INTERVENTIONS
Randomization into one of three diagnostic regimens: (1) clinic (usual care follow-up BPs); (2) home (duplicate BPs twice daily for 5 days); or (3) kiosk (triplicate BPs on 3 days). All participants completed ABPM at 3 weeks.
MAIN MEASURES
Primary outcome was difference between ABPM daytime and clinic, home, and kiosk mean systolic BP. Differences in diastolic BP, sensitivity, and specificity were secondary outcomes.
KEY RESULTS
Five hundred ten participants (mean age 58.7 years, 80.2% white) with 434 (85.1%) included in primary analyses. Compared to daytime ABPM, adjusted mean differences in systolic BP were clinic (-4.7mmHg [95% confidence interval -7.3, -2.2]; P<.001); home (-0.1mmHg [-1.6, 1.5];P=.92); and kiosk (9.5mmHg [7.5, 11.6];P<.001). Differences for diastolic BP were clinic (-7.2mmHg [-8.8, -5.5]; P<.001); home (-0.4mmHg [-1.4, 0.7];P=.52); and kiosk (5.0mmHg [3.8, 6.2]; P<.001). Sensitivities for clinic, home, and kiosk compared to ABPM were 31.1% (95% confidence interval, 22.9, 40.6), 82.2% (73.8, 88.4), and 96.0% (90.0, 98.5), and specificities 79.5% (64.0, 89.4), 53.3% (38.9, 67.2), and 28.2% (16.4, 44.1), respectively.
LIMITATIONS
Single health care organization and limited race/ethnicity representation.
CONCLUSIONS
Compared to ABPM, mean BP was significantly lower for clinic, significantly higher for kiosk, and without significant differences for home. Clinic BP measurements had low sensitivity for detecting hypertension. Findings support utility of home BP monitoring for making a new diagnosis of hypertension.
TRIAL REGISTRATION
ClinicalTrials.gov NCT03130257 https://clinicaltrials.gov/ct2/show/NCT03130257.

Identifiants

pubmed: 35239109
doi: 10.1007/s11606-022-07400-z
pii: 10.1007/s11606-022-07400-z
pmc: PMC9485334
doi:

Substances chimiques

Antihypertensive Agents 0

Banques de données

ClinicalTrials.gov
['NCT03130257']

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2948-2956

Subventions

Organisme : Patient-Centered Outcomes Research Institute
ID : CER-1511-32979
Pays : United States

Informations de copyright

© 2022. The Author(s).

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Auteurs

Beverly B Green (BB)

Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA. Bev.B.Green@kp.org.
Washington Permanente Medical Group, Seattle, WA, USA. Bev.B.Green@kp.org.

Melissa L Anderson (ML)

Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.

Andrea J Cook (AJ)

Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.

Kelly Ehrlich (K)

Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.

Yoshio N Hall (YN)

Kidney Research Institute, University of Washington Department of Medicine, Seattle, WA, USA.

Clarissa Hsu (C)

Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.

Dwayne Joseph (D)

Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.

Predrag Klasnja (P)

University of Michigan, School of Information, Ann Arbor, MI, USA.

Karen L Margolis (KL)

HealthPartners Institute, Minneapolis, MN, USA.

Jennifer B McClure (JB)

Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.

Sean A Munson (SA)

Department of Human Centered Design and Engineering, University of Washington, Seattle, WA, USA.

Mathew J Thompson (MJ)

Department of Family Medicine, University of Washington, Seattle, WA, USA.

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