ReviewCurrent cardiology reports2020
Barbershop Management of Hypertension in the African American Population: Pitfalls and Opportunities for Extension to Other Underserved Communities.
Review in Current cardiology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- A systematic review and meta-analysis of the effectiveness of hypertension interventions in faith-based organisation settings.Journal of global health · 2023Pooled it
- Trial
- A primary care psychiatric pharmacist clinic for addressing hypertension and mental health disparities in black patients.The mental health clinician · 2025Article
- Multilevel Interventions Demonstrate Mixed Effectiveness for Improving Blood Pressure Outcomes: A Rapid Review.Healthcare (Basel, Switzerland) · 2025Review
- Bridging beauty and wellness: examining beauty professionals' comfort in discussing sexual health.Frontiers in reproductive health · 2025Article
- The Prevalence of Internet Use as a Source of Information Among Patients With Hypertension.Cureus · 2024Article
- Combating Chronic Disease with Barbershop Health Interventions: A Review of Current Knowledge and Potential for Big Data.The Yale journal of biology and medicine · 2024Review
- What Sets Physically Active Rural Communities Apart from Less Active Ones? A Comparative Case Study of Three US Counties.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
purpose of reviewThis review summarizes the results of recent barbershop-based studies focusing on the diagnosis and management of hypertension (HTN) in black adults. The pitfalls of prior attempts and opportunities for the development of future programs to address health disparities on a larger scale are also reviewed. RECENT
findingsWhile barbershop health outreach has become a commonplace in recent years, the quality of the evidence on the effectiveness of such programs has been weak, until the Los Angeles Barbershop Blood Pressure Study (LABBPS), a rigorously carried out cluster-randomized trial, demonstrated a - 21 mmHg greater reduction in BP among black hypertensive men who were assigned to a pharmacist-led HTN intervention when compared with usual care. Given the available evidence, barber health promotion paired with focused hypertension-specialty care has the potential to reduce, if not eliminate, the present wide gap in hypertension care and ultimately lead to a reduction of hypertension-related complications among blacks. Future research should seek to improve the scalability and transferability of the LABBPS model both to other geographic regions and to other at-risk groups.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.