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Enregistrement W4309244178 · doi:10.1093/eurheartjsupp/suac045

May Measurement Month: results of 12 national blood pressure screening programmes between 2017 and 2019

2022· article· en· W4309244178 sur OpenAlexaff
Neil R Poulter, Claudio Borghi, Albertino Damasceno, Tazeen H. Jafar, Nadia Khan, Yoshihiro Kokubo, Peter M. Nilsson, Dorairaj Prabhakaran, Markus P. Schlaich, Aletta E. Schutte, George S. Stergiou, Thomas Unger, Wei Wang, Thomas Beaney

Notice bibliographique

RevueEuropean Heart Journal Supplements · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueBlood Pressure and Hypertension Studies
Établissements canadiensCentre for Health Evaluation and Outcome Sciences
Organismes subventionnairesMedical Research CouncilServierOmron HealthcareInternational Society of Hypertension
Mots-clésMedicineBlood pressureIntensive care medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

The first May Measurement Month (MMM) campaign, a global blood pressure (BP) screening programme, began in 2017 as an initiative of the International Society of Hypertension.1 Two subsequent annual campaigns have also been completed in consecutive years2,3 and having had to defer activities due to the COVID-19 pandemic in 2020 the fourth campaign was run in 2021, the results of which are currently in press. Since its initiation in 2017, volunteers from more than 100 countries have participated. The aims of MMM have remained consistent from the start—to raise awareness of the importance of the measurement of BP at the individual and population level and to provide a temporary pragmatic solution to the shortfall in BP screening programmes in countries around the world. Following the publication of the global results of the annual MMM campaigns in 2017 (MMM17),1 2018 (MMM18),2 and 2019 (MMM19),3 a compilation of individual national publications has followed one year later as European Heart Journal Supplements.4–6 A minimum number of screenees of 2500 was required for each national paper to be included in these original three supplements in order to ensure that the analyses carried out, generated reasonably valid point estimates for each year. Unfortunately, some countries have taken part in MMM campaigns in 2 or 3 years and fallen short of the prescribed sample size on each occasion. However, when data from each year accumulate for such countries, a reasonable and still contemporary evaluation of the state of hypertension management amongst screenees is generated. In addition to these individual countries which have reached sufficient numbers of screenees by accumulating data over 2 or 3 years, some other countries were unable to publish their annual data for one reason or another even though they had screened sufficient participants to be included in previous national supplements. All these countries were invited to publish a short report of their previously unpublished MMM data from 2017 to 2019 and this supplement draws these manuscripts together (Table 1). Countries participating in the combined supplement of MMM 2017–19 Information on awareness and medication use not collected. Countries participating in the combined supplement of MMM 2017–19 Information on awareness and medication use not collected. Although the results arising from MMM campaigns are not based on representative samples of the countries in which they are carried out, they are in many settings the only contemporary national data available to shed light on the state of hypertension management. Hence, the rationale for creating this compilation of national data on BP screening. Three MMM campaigns have been completed and published to date—MMM17,1 MMM18,2 and MMM19.3 From 2017 to 2019, the MMM questionnaire has varied slightly to include new questions but in the interests of brevity that has meant other questions, initially included, had to be excluded. Nevertheless, the core set of questions has remained largely consistent including demographic and anthropometric data, and a brief medical history including the use of antihypertensive agents. The key findings of the combined data from these three campaigns include that over 4.2 million adults were screened from over 100 countries,1–3 of whom over 600 000 had untreated hypertension, and over 330 000 were on BP-lowering treatment but were uncontrolled to the now conservative target of <140/90 mmHg.7 Consequently, almost 1 million individuals have been detected as having untreated or inadequately treated hypertension during these three campaigns. Even after age and sex adjustment, there were significant regional differences in rates of hypertension, treatment, and control rates and differences were also apparent between men and women. However, the proportion of screenees classified as hypertensive, of those on treatment for their hypertension and of those on treatment with controlled hypertension has been relatively consistent across the three campaigns, with approximately one-third of all those screened having hypertension of whom just over one-half were on treatment and about one-third had controlled BP (Table 2). Comparison of key results from MMM campaigns 2017–19 Comparison of key results from MMM campaigns 2017–19 All three campaigns showed a linear association between systolic BP and age and an inverted U-shaped relationship between diastolic BP and age. Equally consistent was the finding of falling BPs with each of the three sitting BPs recorded and that the mean of the second and third readings produced the most conservative (lowest) estimate of hypertension of any single recording or combination of readings. Clear associations between incremental strata of body weight (expressed as body mass index) and higher levels of BP were apparent, as were higher BP levels amongst those with a higher frequency of alcohol intake and amongst women with a past history of hypertension in pregnancy. Just as some of the key findings in each MMM campaign varied across regions of the world, further variations within regions and at the national level became apparent. This in part reflects genuine differences between nationalities but may also reflect the impact of opportunistic screening using convenience sampling. Nevertheless, the MMM data generated in many countries represent the best and/or only available data regarding the status of current hypertension prevalence and management in their country. Consequently, three previous supplements including data from 39, 41, and 47 countries in 2017, 2018, and 2019, respectively, have been published.4–6 This current smaller supplement adds to the data previously published in these three supplements by adding data from 12 countries from various combinations of the years from 2017 to 2019. Table 1 outlines the key MMM results of these 12 countries. The major challenge for all participating countries in the campaigns completed to date has been raising the finances necessary to complete the work. Whilst in 2017 and 2018, the International Society of Hypertension provided significant central funding; other funds were raised from Servier Pharmaceuticals Co during that time and subsequently to ensure the campaign could continue. The distribution of validated BP measuring devices, kindly donated by OMRON Healthcare has also presented challenges caused by logistical and financial problems and obstacles imposed by various customs regulations. The completeness of data received in the annual MMM questionnaire has been variable, with some sites not collecting all survey questions and/or missing data for certain fields, although in general data collection has improved between 2017 and 2019. Use of a dedicated MMM app for data collection was available, but logistical challenges and reluctance amongst some investigators to use it in the field has led to the majority of data being collected via paper forms and being transferred to electronic spreadsheets, resulting in lengthy data cleaning processes and delaying publication of results. A challenge to comparing and interpreting BP-related estimates both between individuals and between countries or regions relates to missing data in one or more of the BP readings. The MMM protocol stipulated that three BP readings should be taken on all individuals, but three readings were not always provided due to logistical challenges or participant preference. In 2017, 68% of participants had all three readings recorded, rising to 75% in 2018 and 2019. May Measurement Month data have consistently shown a reduction in mean systolic and diastolic BPs from the first, to second, to third readings, which would lead to an upward bias of hypertension estimates if comparing to participants with only one or two readings. For these reasons, previous analyses have used multiple imputation to estimate the mean of the second and third reading, based on the available BP readings for an individual, and using additional information, where available, including demographics and use of antihypertensive medication. Multiple imputation was based on global data, allowing for an averaging of effects seen at a global level for those countries with numbers too small to run national imputation models. For those national analyses which combined data across multiple years, imputed data were appended using the imputed results run separately for each year, as described in previous papers.1–3 Although this means that imputed data are generated via small differences in the model specifications across years (such as where variables were added or removed between campaign years), previous sensitivity analyses have shown minimal differences in estimates between models, and retains consistency with previous published estimates for each year. The major limitation associated with the MMM campaigns are those associated with insufficient funds to support local investigators in each country to provide the necessary infrastructure to carry out extensive BP screening over an extended period—ideally the full month of May (at least) each year. If needed, all participating sites receive financial support from the MMM central funds to cover the acquisition of ethical clearance and in a few countries small additional sums have been supplied to cover a proportion of local expenses for investigators travel, etc. Otherwise, local investigators must currently raise funds from local sources to support their campaigns and rely on volunteers to measure the BPs and collect and clean the data. It is remarkable that so many volunteers are prepared to give up their time to collect the enormous amount of data which MMM generates. The amount and type of data which can be collected in MMM are limited by the very reasonable requests of the local investigators to keep the study questionnaire simple and short, otherwise time demands on the volunteers being measured and those measuring the BPs become too great. Similarly, to date we have not included the collection of blood or urine samples or complex anthropometric measures for the same reasons, compounded by financial implications. One further shortcoming is the inability to follow-up those screened and who are found to have sub-optimal BP levels. Non-pharmacological advice is provided to all such people and site-specific advice is provided regarding the need for follow-up, but the ability to track follow-up BP measures and the initiation or intensification of antihypertensive therapy in such people is, as yet, beyond the scope of MMM. Such activities have financial and ethical implications, but we expect in future years to formalize an evaluation of at least a sample of the outcomes of those detected with raised BPs. Although the non-representative nature of the data collected limit the interpretation of the point estimates as prevalence, it is not necessary to include representative samples of the populations surveyed in order to raise awareness of the importance of BP measurement—the primary aim of MMM. To screen representative samples would have huge financial and organizational implications and does not necessarily benefit the key aim of MMM. Furthermore, it is important to appreciate that, particularly given the large number of participants arising from a very wide range of sources around the world, associations with BP investigated in the MMM data set do not have to be based on randomly selected representative samples to be valid.8 Finally, the robust associations between measures of BP management from national MMM data and national stroke mortality data vindicate our current strategy of opportunistic screening.9 May Measurement Month is the largest global standardized compilation of data on BP and indeed on any contemporary cardiovascular risk factor. A common protocol and standardized BP measurement with the vast majority of measurements being recorded with a validated OMRON device provides a unique and valuable database, especially in those countries where no systematic BP screening takes place and where no surveys of representative population samples have been carried out recently. After deferring MMM activity in 2020 due to COVID-19 but restarting in about half of the usual countries in 2021, MMM has started again in 2022 at full strength, including at least 90 countries. Meanwhile, it has become increasingly clear that MMM is creating a unique research platform on which to piggy-back related cardiovascular research whilst raising awareness of the biggest contributor to global morbidity and mortality. The MMM programme remains appreciative of the infrastructure and support provided by the International Society of Hypertension to MMM between 2017 and 2020. Our sincere thanks to Judith Bunn (MMM Project Manager 2017–19) but particularly Harsha McArdle who took over the role in 2020 for helping to create this supplement and taking MMM forward. We also thank Ranjit Rayat (Editing Assistant) for helping to pull this supplement together, several officers of ISH for background support, and OMRON Healthcare and Servier Pharmaceuticals Co for their continued generous contributions. Finally, and critically, we are totally indebted to the thousands of volunteers who ensure that MMM achieves its aims and continues to be a huge success. The International Society of Hypertension provided significant core funding for MMM in 2017 and 2018. This has been supplemented since 2018 by a generous annual donation from Servier Pharmaceuticals Co, which has enabled the campaign to happen in 2019 and 2021. However, most of the financial burden of MMM within each country falls on local resources and as ever we are indebted to those who have provided the necessary financial and logistical support within each country and to all those who have volunteered their time to deliver the project. We shall continue to seek further sources of funding to at least offset a greater proportion of the local costs of running MMM. We must also thank OMRON Healthcare for their continued support with their very generous supply of validated BP measuring devices. Data are not publicly available but are available with permission from the MMM Management Board, on request through the MMM website: maymeasure.org.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,057
Score d'incertitude au seuil0,113

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,019
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,004
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0070,002

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 Opus0,136
Tête enseignante GPT0,330
Écart entre enseignants0,194 · 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 source (Gemma direct ou Codex distillé), 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

Citations9
Publié2022
Routes d'admission1
Résumé présentoui

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