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Enregistrement W4412508136 · doi:10.1111/jch.70100

Lessons Learned From COVID‐19: Never Lower the Guard in Promoting Hypertension Awareness

2025· article· en· W4412508136 sur OpenAlexaboutno aff
Giacomo Pucci, Chiara Giacinti, Guıdo Grassı

Notice bibliographique

RevueJournal of Clinical Hypertension · 2025
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueClimate Change and Health Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCoronavirus disease 2019 (COVID-19)Guard (computer science)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicBetacoronavirusCoronavirus InfectionsMEDLINEVirologyInternal medicineInfectious disease (medical specialty)LawOutbreak

Résumé

récupéré en direct d'OpenAlex

“The race against a silent killer” is the sub-title assigned to the 2023 World Health Organization Global Report on Hypertension, that synthetizes the complex challenges and interventions required to address the global burden of hypertension [1]. One of the most pressing challenges highlighted in this report is the ongoing need to raise awareness about hypertension, as a silent cardiovascular risk factor. Since more than one-third of people with hypertension are unaware of their status, blood pressure (BP) screening is vital and much emphasis should be put on regular BP monitoring. Public screening initiatives and health education campaign are other key strategies for addressing this issue, both at the individual and at population level. In 2019, before the COVID-19 pandemic, a report from the Non-Communicable Disease (NCD) Risk Factor Collaboration [2] revealed a substantial and rather stable increase in hypertension awareness over the last four decades. Notably, each improvement in awareness was associated with a corresponding decline in the proportion of individuals with undiagnosed or untreated hypertension. Reasons of this success were multiple: broader implementation over time of clinical guidelines featuring simplified clinical recommendations; the availability of newer fixed-dose combination of antihypertensive drugs with improved efficacy, reduced treatment complexity and fewer side effects; the introduction of national programs focused on hypertension education and screening, as it was the case of the Canadian healthcare system [3]; and many other aspects. During COVID-19 pandemics, such scenario was suddenly and dramatically reversed. Policies designed to limit person-to-person contact significantly altered patient's health-seeking behavior and reduced the frequency of in-person visits to general practitioners [4]. Many patients forgot routine care because of concerns about COVID-19 [5]. Physician-driven factors were also involved, such as offices closures and reduced availabilities for appointments, which were only in part mitigated by delivery of telehealth [6]. Health literacy developments including educational health campaigns raising awareness against non-communicable diseases, were often postponed [7], making way to informational campaigns focused on the risks associated with SARS-CoV-2 transmission. Finally, issues with the drug supply chain have been also reported during COVID-19 [8]. As a result, rates of hypertension diagnosis and treatment initiation dramatically fell during the COVID-19 pandemic, especially in the early phase [9] and BP control was reduced by on average 5%–7%, according to the results of a survey conducted by the BP Control Laboratory Surveillance System including 1.7 million patients from 24 US health system [10]. In the present issue of the Journal of Clinical Hypertension, Essa et al. contributed a key piece to this puzzle [11]. They analyzed data about hypertension prevalence, awareness and control in a sampling US population participating to the National Health and Nutrition Examination Survey (NHANES). The study included 14 449 participants representing 237.2 million US adults ≥18 years. The NHANES is considered one of the most comprehensive and reliable sources of health data in the United States, since it applies a complex, multistage probability sampling design that ensures data are representative of the US population. By comparing results collected in the pre-pandemic (2017–2020) to those in the post-pandemic (2021–2023) period, the authors showed no changes in hypertension prevalence and a non-significant decreasing trend in hypertension awareness (from 57.7% to 53.7%) which was mainly driven by a significant −22% decline in hypertension awareness in the age range between 18 and 39 years. The authors also found a significant decrease in BP control among men, which they attributed to low awareness, although a formal interaction term analysis was not carried out. Hypertension awareness is particularly challenging among young adults, especially among young men. In the NCD report, men aged 40–49 years showed the lowest rate of hypertension awareness [2]. Among factors contributing to this poor result are a low perception of risk and a weak connection to the healthcare system, both associated with the misconception that hypertension can start early in life and, since it does not cause symptoms, is harmless. Another important factor is medical inertia, since young men are less likely to have their hypertension diagnosed by their physician, and less likely to receive information about lifestyle changes [12]. The opportunity to reflect on the findings provided by the authors, should reinforce our understanding that increasing hypertension awareness is essential to reduce the global burden of hypertension and should be pursued every day. However, it remains one of the most difficult goal to achieve, as it depends on complex, coordinated efforts involving all the interconnected stakeholders within the healthcare system. No one should ever lower their guard down, even briefly.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,347
Score d'incertitude au seuil0,714

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,352
Tête enseignante GPT0,465
Écart entre enseignants0,113 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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