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The aim of this paper is to contribute technical arguments to the debate about the importance of health examination surveys and their continued use during the post-pandemic health financing crisis, and in the context of a technological innovation boom that offers new ways of collecting and analysing individual health data (e.g. artificial intelligence). Technical considerations demonstrate that health examination surveys make an irreplaceable contribution to the local availability of primary health data that can be used in a range of further studies (e.g. normative, burden-of-disease, care cascade, cost and policy impact studies) essential for informing several phases of the health planning cycle (e.g. surveillance, prioritization, resource mobilization and policy development). Examples of the use of health examination survey data in the World Health Organization (WHO) European Region (i.e. Finland, Italy, Malta and the United Kingdom of Great Britain and Northern Ireland) and the WHO Region of the Americas (i.e. Chile, Mexico, Peru and the United States of America) are presented, and reasons why health provider-led data cannot replace health examination survey data are discussed (e.g. underestimation of morbidity and susceptibility to bias). In addition, the importance of having nationally representative random samples of the general population is highlighted and we argue that health examination surveys make a critical contribution to external quality control for a country's health system by increasing the transparency and accountability of health spending. Finally, we consider future technological advances that can improve survey fieldwork and suggest ways of ensuring health examination surveys are sustainable in low-resource settings.

Cet article a pour objet d'apporter des arguments techniques au débat sur l'importance des enquêtes de santé par examen et sur leur utilisation continue pendant la crise post-pandémique du financement de la santé et dans le contexte d'un essor de l'innovation technologique qui offre de nouvelles façons de collecter et d'analyser les données individuelles sur la santé (comme l'intelligence artificielle). Les considérations techniques démontrent que les enquêtes de santé par examen apportent une contribution irremplaçable à la disponibilité locale de données de santé primaires qui peuvent servir dans une série d'études complémentaires (telles que des études normatives, sur la charge de morbidité, la cascade des soins, les coûts et l'impact des politiques). Ces études sont essentielles pour renseigner plusieurs phases du cycle de planification sanitaire (par exemple: surveillance, priorisation, mobilisation de ressources et élaboration de politiques). Cet article présente des exemples d'utilisation des données d'enquêtes de santé par examen dans la Région OMS de l'Europe (Finlande, Italie, Malte et Royaume-Uni de Grande-Bretagne et d'Irlande du Nord) et dans la Région OMS des Amériques (Chili, États-Unis d'Amérique, Mexique et Pérou) et aborde les raisons pour lesquelles les données fournies par les prestataires de soins de santé ne peuvent pas remplacer les données d'enquêtes de santé par examen (par exemple la sous-estimation de la morbidité et la vulnérabilité aux biais). En outre, il soulignet l'importance de disposer d'échantillons aléatoires représentatifs de la population générale au niveau national, et nous soutenons que les enquêtes de santé par examen apportent une contribution essentielle au contrôle externe de la qualité du système de santé d'un pays en renforçant la transparence des dépenses de santé et l'obligation de rendre des comptes à leur sujet. Enfin, nous envisageons les futures avancées technologiques susceptibles d'améliorer le travail d'enquête sur le terrain et suggérons des moyens d'assurer la viabilité des enquêtes de santé par examen dans les environnements à faibles ressources.

El objetivo de este artículo es aportar argumentos técnicos al debate sobre la importancia de las encuestas de salud y su uso continuado durante la crisis de financiación sanitaria pospandémica y en el contexto de un auge de la innovación tecnológica que ofrece nuevas formas de recopilar y analizar datos sanitarios individuales (por ejemplo, la inteligencia artificial). Las consideraciones técnicas demuestran que las encuestas de salud contribuyen de manera insustituible a la disponibilidad local de datos sanitarios primarios que pueden utilizarse en toda una serie de estudios posteriores (por ejemplo, estudios normativos, de carga de morbilidad, de cascada asistencial, de costes y de impacto de las políticas) esenciales para fundamentar varias fases del ciclo de planificación sanitaria (por ejemplo, vigilancia, establecimiento de prioridades, movilización de recursos y elaboración de políticas). Se presentan ejemplos del uso de los datos de las encuestas de salud en la Región Europea de la Organización Mundial de la Salud (Finlandia, Italia, Malta y el Reino Unido de Gran Bretaña e Irlanda del Norte) y en la Región de las Américas de la OMS (Chile, Estados Unidos de América, México y Perú) y se analizan las razones por las que los datos obtenidos por los proveedores sanitarios no pueden sustituir a los de las encuestas de salud (por ejemplo, la subestimación de la morbilidad y la posibilidad de sesgo). Además, se destaca la importancia de contar con muestras aleatorias representativas de la población general a escala nacional y se argumenta que las encuestas de salud contribuyen de forma decisiva al control de calidad externo del sistema sanitario de un país, al aumentar la transparencia y la rendición de cuentas del gasto sanitario. Por último, se examinan los futuros avances tecnológicos que pueden mejorar el trabajo de campo de las encuestas y se sugieren métodos para garantizar que las encuestas de salud sean sostenibles en entornos con pocos recursos.

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National health examination surveys (HESs) have been developed to provide important information that cannot be obtained from other sources. A HES combines information obtained by asking participants questions with biophysical measurements taken by trained field staff. They are observational studies with the highest external validity and make specific contributions to both population (public health) and individual health. Few countries have a track record of a regular wide-ranging HES, but these are the basis of many reports and scientific papers. Despite this, little evidence about HES usefulness and impact or the factors that influence HES effectiveness have been disseminated. This paper presents examples of HES contributions to society in both Europe and the Americas. We sought information by emailing a wide list of people involved in running or using national HESs across Europe and the Americas. We asked for examples of where examination data from their HES had been used in national or regional policymaking. We found multiple examples of HES data being used for agenda-setting, including by highlighting nutritional needs and identifying underdiagnosis and poor management of certain conditions. We also found many ways in which HES have been used to monitor the impact of policies and define population norms. HES data have also been used in policy formation and implementation. HES data are influential and powerful. There is need for global support, financing and networking to transfer capacities and innovation in both fieldwork and laboratory technology.

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BACKGROUND: Chronic Kidney Disease (CKD) is a leading public health problem, with substantial burden and economic implications for healthcare systems, mainly due to renal replacement treatment (RRT) for end-stage kidney disease (ESKD). The aim of this study is to develop a multistate predictive model to estimate the future burden of CKD in Chile, given the high and rising RRT rates, population ageing, and prevalence of comorbidities contributing to CKD. METHODS: A dynamic stock and flow model was developed to simulate CKD progression in the Chilean population aged 40 years and older, up to the year 2041, adopting the perspective of the Chilean public healthcare system. The model included six states replicating progression of CKD, which was assumed in 1-year cycles and was categorised as slow, medium or fast progression, based on the underlying conditions. We simulated two different treatment scenarios. Only direct costs of treatment were included, and a 3% per year discount rate was applied after the first year. We calibrated the model based on international evidence; the exploration of uncertainty (95% credibility intervals) was undertaken with probabilistic sensitivity analysis. RESULTS: By the year 2041, there is an expected increase in cases of CKD stages 3a to ESKD, ceteris paribus, from 442,265 (95% UI 441,808-442,722) in 2021 to 735,513 (734,455-736,570) individuals. Direct costs of CKD stages 3a to ESKD would rise from 322.4M GBP (321.7-323.1) in 2021 to 1,038.6M GBP (1,035.5-1,041.8) in 2041. A reduction in the progression rates of the disease by the inclusion of SGLT2 inhibitors and pre-dialysis treatment would decrease the number of individuals worsening to stages 5 and ESKD, thus reducing the total costs of CKD by 214.6M GBP in 2041 to 824.0M GBP (822.7-825.3). CONCLUSIONS: This model can be a useful tool for healthcare planning, with development of preventive or treatment plans to reduce and delay the progression of the disease and thus the anticipated increase in the healthcare costs of CKD.

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BACKGROUND/OBJECTIVE: Mexico has one of the highest rates of obesity and overweight worldwide, affecting 75% of the population. The country has experienced a dietary and food retail transition involving increased availability of high-calorie-dense foods and beverages. This study aimed to assess the relationship between the retail food environment and body mass index (BMI) in Mexico. SUBJECTS/METHODS: Geographical and food outlet data were obtained from official statistics; anthropometric measurements and socioeconomic characteristics of adult participants (N = 22,219) came from the nationally representative 2012 National Health and Nutrition Survey (ENSANUT). Densities (store count/census tract area (CTA)) of convenience stores, restaurants, fast-food restaurants, supermarkets and fruit and vegetable stores were calculated. The association of retail food environment variables, sociodemographic data and BMI was tested using multilevel linear regression models. RESULTS: Convenience store density was high (mean (SD) = 50.0 (36.9)/CTA) compared with other food outlets in Mexico. A unit increase in density of convenience stores was associated with a 0.003 kg/m2 (95% CI: 0.0006, 0.005, p = 0.011) increase in BMI, equivalent to 0.34 kg extra weight for an adult 1.60 m tall for every additional 10% store density increase (number of convenience stores per CTA (km2)). Metropolitan areas showed the highest density of food outlet concentration and the highest associations with BMI (ß = 0.01, 95% CI: 0.004-0.01, p < 0.001). A 10% store density increase in these areas would represent a 1 kg increase in weight for an adult 1.60 m tall. CONCLUSIONS: Convenience store density was associated with higher mean BMI in Mexican adults. An excessive convenience store availability, that offers unhealthy food options, coupled with low access to healthy food resources or stores retailing healthy food, including fruits and vegetables, may increase the risk of higher BMI. This is the first study to assess the association of the retail food environment and BMI at a national level in Mexico.

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OBJECTIVES: This study estimates the prevalence of chronic kidney disease (CKD) among Chilean adults and examines its associations with sociodemographic characteristics, health behaviours and comorbidities. DESIGN: Analysis of cross-sectional data from the two most recent large nationally representative Chilean Health Surveys (Encuesta Nacional de Salud, ENS) 2009-2010 and 2016-2017. PARTICIPANTS: Adults aged 18+ years with serum creatine data (ENS 2009-2010: n=4583; ENS 2016-2017: n=5084). PRIMARY AND SECONDARY OUTCOME MEASURES: Reduced kidney function (CKD stages 3a-5) based on the estimated glomerular filtration rate (eGFR <60 mL/min/1.73 m2) was the primary outcome measure. Using the urine albumin-to-creatinine ratio (ACR ≥30 mg/g), increased albuminuria was ascertained among adults aged 40+ years with diabetes and/or hypertension. Both outcomes were analysed using logistic regression with results summarised using OR. CKD prevalence (stages 1-5) among adults aged 40+ years was estimated including participants with an eGFR of >60 mL/min/1.73 m2 but with increased albuminuria (stages 1-2). RESULTS: Overall, 3.2% (95% CI: 2.4% to 3.8%) of adults aged 18+ in ENS 2016-2017 had reduced kidney function. After full adjustment, participants with hypertension (OR: 2.37; 95% CI: 1.19 to 4.74) and those with diabetes (OR: 1.66; 95% CI: 1.03 to 2.66) had significantly higher odds of reduced kidney function. In ENS 2016-2017, 15.5% (13.5% to 17.8%) of adults aged 40+ years with diabetes and/or hypertension had increased albuminuria. Being obese versus normal-weight (OR: 1.66; 95% CI: 1.08 to 2.54) and having both diabetes and hypertension versus having diabetes alone (OR: 2.30; 95% CI: 1.34 to 3.95) were significantly associated with higher odds of increased albuminuria in fully-adjusted analyses. At least 15.4% of adults aged 40+ years in ENS 2016-2017 had CKD (stages 1-5), including the 9.6% of adults at CKD stages 1-2. CONCLUSIONS: Prevention strategies and Chilean guidelines should consider the high percentage of adults aged 40 years and older at CKD stages 1-2.

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BACKGROUND: Trend data on hypertension prevalence and attainment indicators at each step of the care cascade (awareness, treatment, control) are required in Chile. This study aims to quantify trends (2003-2017) in prevalence and in the proportion of individuals with hypertension attaining each step of the care cascade among adults aged 17 years or older, and to assess the impact of lowering the blood pressure (BP) thresholds used to define elevated BP on these indicators. METHODS: We used data from 2003, 2010, and 2017 Chilean national health surveys. Each year we assessed levels of (1) mean systolic (SBP) and diastolic (DBP) blood pressure, (2) hypertension prevalence (BP ≥ 140/90 mmHg or use of antihypertensive treatment), and (3) awareness, treatment, and control. Logistic regression on pooled data was used to assess trends in binary outcomes; linear regression was used to assess trends in continuous SBP and DBP. We compared levels of hypertension prevalence using two sources to ascertain antihypertensive treatment (self-reported versus medicine inventory). The 2017 American College of Cardiology/American Heart Association (ACC/AHA) guidelines were used to re-define hypertension using lower thresholds (BP ≥ 130/80 mmHg). RESULTS: Hypertension prevalence was 34.0, 32.0 and 30.8% in 2003, 2010 and 2017, respectively. Levels of treated- and controlled-hypertension were significantly higher in 2017 than in 2003 (65% versus 41% for treatment, P < 0.001; 34% versus 14% for control, P < 0.001), while levels of awareness were stable (66% versus 59%, P = 0.130). Awareness, treatment, and control levels were higher among females in 2003, 2010, and 2017 (P < 0.001). Mean SBP and DBP decreased over the 15-year period, except for SBP among females on treatment. Adopting the 2017 ACC/AHA guidelines would increase hypertension prevalence by 17 and 55% in absolute and relative terms, respectively. CONCLUSIONS: Chile has experienced a positive population-wide lowering in blood pressure distribution which may be explained partly by a significant rise in levels of treated- and controlled-hypertension since 2003. Lowering the thresholds used to define elevated BP would substantially increase the financial public health challenge of further improving attainment levels at each step of the care cascade. Innovative and collaborative strategies are needed to improve hypertension management, especially among males.

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Comparability of population surveys across countries is key to appraising trends in population health. Achieving this requires deep understanding of the methods used in these surveys to examine the extent to which the measurements are comparable. In this study, we obtained detailed protocols of 8 nationally representative surveys from 2007-2013 from Brazil, Chile, Colombia, Mexico, the United Kingdom (England and Scotland), and the United States-countries that that differ in economic and inequity indicators. Data were collected on sampling frame, sample selection procedures, recruitment, data collection methods, content of interview and examination modules, and measurement protocols. We also assessed their adherence to the World Health Organization's "STEPwise Approach to Surveillance" framework for population health surveys. The surveys, which included half a million participants, were highly comparable on sampling methodology, survey questions, and anthropometric measurements. Heterogeneity was found for physical activity questionnaires and biological samples collection. The common age range included by the surveys was adults aged 18-64 years. The methods used in these surveys were similar enough to enable comparative analyses of the data across the 7 countries. This comparability is crucial in assessing and comparing national and subgroup population health, and to assisting the transfer of research and policy knowledge across countries.

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