Evidence map›Paper›PMID 36128474›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2022

Developing population-based hypertension control programs.

Marc G Jaffe, Donald J DiPette, Norman R C Campbell, Sonia Y Angell, Pedro Ordunez

Open access · diamondAbstract read
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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  9. ANDES trial and integration of the HEARTS model in Puno, Peru.Revista panamericana de salud publica = Pan American journal of public health · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 2 countries.

Marc G JaffeDepartment of Endocrinology The Permanente Medical Group Kaiser San Francisco Medical Center San FranciscoCalifornia USA Department of Endocrinology, The Permanente Medical Group, Kaiser San Francisco Medical Center, San Francisco, California, USA.ORCID 0000-0002-5049-7815
Donald J DiPetteDepartment of Internal Medicine University of South Carolina School of Medicine ColumbiaSouth Carolina USA Department of Internal Medicine, University of South Carolina School of Medicine, Columbia, South Carolina, USA.ORCID 0000-0002-5762-9104
Norman R C CampbellDepartment of Medicine Libin Cardiovascular Institute of Alberta University of Calgary CalgaryAlberta Canada Department of Medicine, Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0002-1093-4742
Sonia Y AngellDepartment of Epidemiology Johns Hopkins Bloomberg School of Public Health BaltimoreMaryland USA Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-6031-910X
Pedro OrdunezDepartment of Noncommunicable Diseases and Mental Health Pan American Health Organization Washington, D.C. USA Department of Noncommunicable Diseases and Mental Health, Pan American Health Organization, Washington, D.C., USA.ORCID 0000-0002-9871-6845
Johns Hopkins University · USKaiser Permanente San Francisco Medical Center · USUniversity of Calgary · CAUniversity of South Carolina · USWorld Health Organization Regional Office for the Americas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension remains the leading cause of cardiovascular disease globally despite the availability of safe and effective treatments. Unfortunately, many barriers exist to controlling hypertension, including a lack of effective screening and awareness, an inability to access treatment and challenges with its management when it is treated. Addressing these barriers is complex and requires engaging in a systematic and sustained approach across communities over time. This analysis aims to describe the key elements needed to create an effective delivery system for hypertension control. A successful system requires political will and supportive leadership at all levels of an organization, including at the point of care delivery (office or clinic), in the health care system, and at regional, state and national levels. Effective screening and outreach systems are necessary to identify individuals not previously diagnosed with hypertension, and a system for follow up and tracking is needed after people are diagnosed. Implementing simple protocols for treating hypertension can reduce confusion among providers and increase treatment efficiency. Ensuring easy access to safe, effective and affordable medications can increase blood pressure control and potentially decrease health care system costs. Task-sharing among members of the health care team can expand the services that are delivered. Finally, monitoring of and reporting on the performance of the health care team are needed to learn from those who are doing well, disseminate ideas to those in need of improvement and identify individual patients who need outreach or additional care. Successful large-scale hypertension programs in different settings share many of these key elements and serve as examples to improve systems of hypertension care delivery throughout the world.

Indexed as

antihypertensive agentsclinical protocolsdiagnostic screening programsHypertensionpatient care teampopulation healthpopulation health managementquality improvement

Identifiers

PMID36128474
PMCPMC9473451
OpenAlexW4295708792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.