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Cadernos de Saúde Pública

ISSN 1678-4464

36 nº.1

Rio de Janeiro, Janeiro 2020


ARTIGO

Prevalência de hipertensão arterial corrigida com base na prevalência autorreferida estimada pela Pesquisa Nacional de Saúde

Jessica Pronestino de Lima Moreira, Renan Moritz Varnier Rodrigues de Almeida, Nei Carlos dos Santos Rocha, Ronir Raggio Luiz

http://dx.doi.org/10.1590/0102-311X00033619


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RESUMO
O estudo teve como objetivo corrigir a prevalência autorreferida de hipertensão arterial sistêmica (HAS) obtida pela Pesquisa Nacional de Saúde (PNS 2013). As estimativas de prevalência de HAS foram corrigidas pelos dados de sensibilidade/especificidade. Foram utilizados os valores de sensibilidade e especificidade de um estudo semelhante (mesma pergunta autorreferida, faixa etária e padrão de ouro). Foi utilizada também a análise de sensibilidade, com os limites superiores e inferiores dos intervalos de confiança enquanto parâmetros de sensibilidade e especificidade. A prevalência corrigida de HAS para o Brasil como um todo foi de 14,5% (autorreferida: 22,1%). As mulheres apresentaram uma prevalência mais alta de HAS autorreferida, mas depois da correção, os homens mostraram uma prevalência mais alta. Entre as mulheres mais jovens (18-39 anos), a prevalência autorreferida foi de 6,2%, caindo para 0,28% depois da correção. Nos idosos, não houve muita diferença entre a HAS autorreferida e a corrigida (51,1% vs. 49,2%). Para determinados grupos, os resultados corrigidos foram muito diferentes da prevalência autorreferida, o que pode ter um impacto relevante nas estratégias de saúde pública.

Prevalência; Estudos Transversais; Hipertensão; Diagnóstico; Autorrelato


 

Introduction

Systemic arterial hypertension (SAH) is a very important public health problem, given its characteristics both as a disease and as a risk factor for other diseases 1,2. It has been estimated that its global prevalence among people above 18 years old is around 22% 3, and, in the Americas, 14% to 40% among those above 35 years old 4. Information on this prevalence is useful in the definition of public policies towards its control, with a significant impact over a population health profile 2.

In Brazil, comprehensive coverage surveys commonly use self-reported measurements in order to classify individuals into disease categories, such as “hypertensive”. For instance, the Risk and Protection Factors Surveillance System for Chronic Non-communicable Diseases Through Telephone Interview (VIGITEL) provided a self-reported prevalence of SAH among adults in Brazilian state capitals of 24.1% in 2013 and 24.8% in 2014 5,6. Also the health-related supplement of the Brazilian National Household Sample Survey (PNAD) used the “self report” methodology to estimate the prevalence of SAH in 1998, 2003 and 2008, and, more recently (2013), the Brazilian National Health Survey (PNS) made estimates available for the self-reported prevalence of chronic diseases, including SAH 7. This is currently the most recent and large-coverage survey in this country, and, according to these data, the prevalence of self-reported SAH in Brazil is 21.4% 8.

However, the real magnitude of arterial hypertension in Brazil is unknown, given that there are no population-based studies with national coverage that used measurement devices to make actual clinical diagnoses in the population. Nonetheless, PNS incorporated some blood pressure measurements from 2013 on, together with data from the self-reporting question.

Although self-reported measurements may be useful, they may present significant bias with no predictable direction or magnitude, and differential or non-differential classification errors 9. Thus, some individuals may be erroneously classified with the condition; while others, with the disease, may be classified as not having the condition, with a resulting need to correct these estimates, so that they can be brought closer to the real prevalence rates. These corrections could enable public policies that are more effective for the population, especially in what concerns heterogeneities of prevalence relating to age and sex.

A strategy for correcting self-reported measurements is through the use of the sensitivity and specificity values for the question that gave rise to their estimates 10,11. Validation studies conducted on self-reported SAH have reported these sensitivities/specificities, but studies may present differences in their gold standards, in the calibration of measurement devices, in the type of measurement performed (“last measurement” or “mean of the last three measurements”, for instance), or in the question used to obtain the self-report. In Brazil, six studies on validation of self-reported SAH have been conducted: Lima-Costa et al. 12 and Campos 13, in Minas Gerais State; Chrestani et al. 14, in Rio Grande do Sul State; Selem et al. 15 and Louzada et al. 16, in São Paulo State; and Menezes et al. 17, in Paraíba State. Around the world, a variety of studies to validate SAH self-reporting questions, and Vargas et al. 18 and Martin et al. 19 are among the most cited of these. In a systematic review of self-reported hypertension validation studies, Gonçalves et al. 20 included 22 studies and observed a great deal of heterogeneity among countries and age groups.

In addition, especially when dealing with large samples, one has to deal with operational and computational problems related to these corrections 10,11,18,19, and specific strategies are required in such situations 20. Therefore, the present study had the objective of correcting the self-reported prevalence of SAH in Brazil, using data available from PNS 2013, presenting the SAH results according to age and sex.

Materials and methods

Brazilian National Health Survey

The PNS is a population-based survey covering the entire territory of Brazil. It uses a complex sampling scheme consisting of cluster sampling and stratification according to census tracts. So, for the present study, we used a subsample selected in three stages: (1) stratification of census tracts; (2) selection of homes in each tract; and (3) selection of one person aged 18 years or over in each home, by means of simple random sampling. A total of 60,202 people were thus interviewed. Further information on the PNS sampling scheme can be obtained from Souza-Júnior et al. 21.

Correction of prevalence

Correction of SAH prevalence can be done algebraically using 10:

Eq.: 1

 

where: p r = real prevalence (corrected); p a = self-reported prevalence; Sp = specificity; and Se = sensitivity.

However, this solution is not unrestrictedly applicable to every sensitivity and specificity value, being limited to the interval 1 - Sp ≤ p a ≤ Se (the complement of specificity and the sensitivity). If this condition is not respected, the solution will present prevalence results that are negative or greater than 1.

With the aim of dealing with this problem, Lew & Levy 11 proposed an adjustment to the formula above, such that the correction would only result in possible and interpretable results. Therefore, this estimator ensures that for any self-reported prevalence values, a correction will be possible. Essentially, this strategy consists in replacing the self-reported prevalence in the previous expression with d:

Eq.: 2

 

where: n = size of the sample; and x = number of self-reported subjects with the condition.

Therefore, the corrected prevalence is given by:

Eq.: 3

 

Notwithstanding the analytical solution, the calculation for d is not immediate and depends on specific software, capable of complex numerical integration. Moreover, this integration presents a computational limitation relating to the sample size, making it impossible the use of computers when the sample is large (usually greater than 1,000 cases). Therefore, a simplification has been suggested, taking into account a Bayesian method for large samples. This method consists in proportionally reducing the sample size and the number of people with the condition, until reaching the maximum number that can be calculated using the available hardware/software 22.

Thus, in order to calculate the 95% confidence interval (95%CI) for corrected prevalences, the approximation suggested by Lew & Levy 11 was used:

p' r ±1,96SE(p' r )

where:

Eq.: 4

 

and SE = standard error.

However, data for the present study was originated from a complex sample, and therefore the design effect (deff) needs to be taken into consideration in order to incorporate the estimate loss of precision. The design effect is the ratio between the estimate of the variance from the sampling level actually used and the estimate of the variance if it had been obtained through a simple random sample of the same size. Thus, the variance of the estimate for the corrected prevalence is multiplied by the design effect, which is obtained from the survey data with the sampling strategies mentioned before. Therefore, the standard error that takes into account the design effect follows equation (5):

Eq.: 5

 

where: SE = standard error; and deff = design effect.

Sensitivity and specificity of the question

Correcting the self-reported prevalence of an event demands information on both its sensitivity and specificity, measurements that (e.g.) can be obtained from similar studies in the literature (similar populations, methods, measuring equipment and survey types). Among the four available Brazilian articles on the validation of self-reported SAH, Lima-Costa et al. 12 used the same question as the PNS, had subjects above 18 years and used a table sphygmomanometer as gold standard. Therefore, that study provided the basic measurements needed for corrections (general and age-related sensitivities and specificities - see Table 1. Combined values for sex and age were obtained from the article raw data (available from the authors).

 

 

Tab.: 1
Table 1 Sensitivities and specificities found in the validation study on overall self-reported arterial hypertension, according to sex and age group, adapted from Lima-Costa et al. 12.

 

Variables used

The question used for diagnosing self-reported prevalence was: “Has a doctor or other healthcare professional ever told you that you have high blood pressure or hypertension?” (variable Q004). There were three response categories: “Yes”; “Yes, only during pregnancy” (only for women) and “No”. Women who reported SAH only during pregnancy were included in the category “No”.

Statistical analysis

The prevalence of self-reported SAH was estimated for the population as a whole, according to sex and to age group. Cases in which no information on self-reported SAH was available were excluded from the analysis. In addition, prevalences were also corrected by taking into account the upper and lower values of the 95%CIs for sensitivity and specificity. The adjusted expression for the Bayesian estimator and its adaptation for large samples were used in cases in which the condition 1 - Sp ≤ p a ≤ Se was not met.

The Maple v.5 software (https://www.maplesoft.com/) was used for integration and other algebraic manipulation.

Results

Table 2 presents the prevalence of self-reported SAH in Brazil according to sex and age, from the PNS 2013, together with the corrected prevalence values developed in the present study. The adjusted expression for the Bayesian estimator and its adaptation for large samples were used among women aged 18-39 years, among subjects 18-39 years as a whole and for the 95%CIs for sensitivity and specificity among men and women 18-39 years and women 40-59 years. In some categories, large differences between the self-reported and corrected values for SAH could be seen. Across Brazil, regardless of sex and age, the prevalence of corrected SAH was 14.5%, 7.6 percentage points lower than the self-reported value (22.1%). The corrected prevalence for men did not change much, but became higher than that of women (19.5% among men vs. 11.8% among women). This sex difference was especially visible among non-elderly people.

 

 

Tab.: 2
Table 2 Prevalences of self-reported and corrected systemic arterial hypertension (SAH) in Brazil, according to sex and age group, from the Brazilian National Health Survey (PNS), 2013.

 

Among males, the corrected prevalence in the 18-39 age group was 0.9%, and, in the 40-59 group, 20.6%. Among elderly men, corrected prevalence increased from 45.8% to 51.7%. Among women, self-reported prevalence was more than three times higher in the age group 40 to 59 years (31% vs. 9.3%). Regardless of sex, self-reported SAH was overestimated in all age groups, but overestimation error decreased with increasing age Table 2.

As expected, lower prevalences were found when combining the upper and lower limits for sensitivity and specificity (and higher prevalences in the opposite case). Table 3 presents these prevalences. The new prevalence interval varies from 10.8% to 18.5%, and in the age group 18 to 39, a variation between 0.1% and 20.7% could be seen among men. Among women in the same age group, this range was much smaller, going from 0.1% to 1.1%. In the age group 40 to 59, a larger variation for the corrected prevalence also was seen among men, from 2.4% to 43.3%, and, among the elderly, this range was larger among women, whose corrected prevalence varied from 3% to 68.5%.

 

 

Tab.: 3
Table 3 Corrected prevalences of systemic arterial hypertension (SAH), taking into consideration the lower and upper limits of the 95% confidence intervals for sensitivity and specificity of the validation study of Lima-Costa et al. 12, according to sex and age group.

 

Discussion

Knowledge on the real magnitude of a disease in a specific population, for instance estimated by correcting self-reported prevalence, is extremely relevant for public health purposes, and Brazilian validation studies on SAH have shown that self-reported prevalence of SAH is usually overestimated by 10% to 15% (without stratification), with larger variations according to sex and age group 12,14. The present study indicates that the prevalence of SAH is really overestimated, such that in some categories the self-reported magnitude may even be twice the real prevalence.

It is interesting that in the age group 40 to 59 (a group frequently targeted for health campaigns), self-reported prevalence was more than twofold overestimated. On the other hand, among elderly people (over 60 years of age), overestimation was only 4%. The only category in which self-reported prevalence was underestimated was males, but the degree of underestimation was small.

A validation study in Pelotas (Brazil) 14, also found that SAH self-reported prevalence was underestimated among men. However, among women, the self-reported prevalence of SAH was overestimated more than twofold. This result is in line with other data from the literature, in which women presented higher self-reported prevalence and lower measured prevalence of SAH 3,8,23,24. On the other hand, at least for men, the corrected values developed here (19.5% for men and 11.8% for women) were very close to the SAH prevalence estimates made by the World Health Organization (WHO) for the Americas region in 2014 (21% for men and 16% for women) 3.

Despite the need for such corrections, only one other study could be found (osteoarthritis in France) in which self-reported prevalence was corrected by means of sensitivity/specificity information. In that case, the authors found that the prevalence was underestimated when self-reported measurements were used (7.9% for self-reporting; 9.1% for the corrected estimates) 25.

The self-reported prevalence found in this study, using data from PNS, was 22.1%. With the same data, Andrade et al. 8 found a value of 21.4%. This difference is due to the cases in which information was not available, which were excluded from the present study.

As mentioned, the present study used sensitivity/specificity values from another study 12 in order to obtain corrected estimates for self-reported SAH in Brazil as a whole. Although the populations studied in Lima-Costa et al. and here are not specifically the same, it should be noted that both studies used the same question for ascertaining SAH, included subjects above 18 years old and used the same gold standard for validating SAH. These similarities (and the fact that questions were asked in the same language) guarantee a degree of methodological consistency for the use of those estimates. Nevertheless, a limitation of the present study is that further validation should be sought using sensitivity/specificity values from more recent/more comprehensive data, including different regions of the country. Also, in the present study, prevalences were corrected by simulating different combinations of sensitivity and specificity, taking into account their lower and upper confidence interval limits. Although this is an interesting strategy for the inclusion of uncertainties, it does not consider the plausibility of the results and should be considered as a “worst case” scenario, since it analyzes the combinations of the upper and lower limits of sensitivity/specificity as if these values had the same likelihood to occur. Therefore, an excessively pessimistic or conservative image of the results might be obtained 9. Another means of obtaining representative and plausible sensitivity/specificity values would be through a meta-analysis, in which all the articles validating the self-report question would be included.

This study presented the corrected prevalence of SAH in Brazil, according to age and sex, taking as its basis the sensitivity and specificity values of a self-report question posed in 2013. The resulting estimates are therefore closer to the real prevalence, and it was observed that, in all categories except men, the prevalence of SAH was overestimated when the subjects were asked about the disease. In addition, the corrected values were closer to and in the same direction of worldwide estimates for the prevalence of SAH. This result is extremely important, since it would enable the formulation of public policies that take into account the proportion of individuals in the Brazilian population that actually have this condition.

Acknowledgments

We are grateful for the original data from the study conducted in Bambuí, which were made available to us by Professor Maria Fernanda Lima-Costa.

References

1.   Rapsomaniki E, Timmis A, George J, Pujades-Rodriguez M, Shah AD, Denaxas S, et al. Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people. Lancet 2014; 383:1899-911.
2.   Schmidt MI, Duncan BB, Silva GA, Menezes AM, Monteiro CA, Barreto SM, et al. Chronic non-communicable diseases in Brazil: burden and current challenges. Lancet 2011; 377:1949-61.
3.   World Health Organization. Global status report on noncommunicable diseases 2014. Geneva: World Health Organization; 2015.
4.   Organização Pan-Americana da Saúde. Hipertensão arterial 2017. http://www.paho.org/bra/index.php?option=com_content&view=article&id=397:hipertensao-arterial&catid=901:bra-03-a-doencas-nao-transmissiveis&Itemid=539 (accessed on 10/May/2017).
5.   Departamento de Vigilância de Doenças e Agravos Não Transmissíveis e Promoção da Saúde, Secretaria de Vigilância em Saúde, Ministério da Saúde. Vigitel Brasil 2013: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde; 2014.
6.   Departamento de Vigilância de Doenças e Agravos Não Transmissíveis e Promoção da Saúde, Secretaria de Vigilância em Saúde, Ministério da Saúde. Vigitel Brasil 2014: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde; 2015.
7.   Szwarcwald CL, Malta DC, Pereira CA, Vieira MLFP, Conde WL, Souza Júnior PRB, et al. National Health Survey in Brazil: design and methodology of application. Ciênc Saúde Colet 2014; 19:333-42.
8.   Andrade SSA, Stopa SR, Brito AS, Chueri PS, Szwarcwald CL, Malta DC. Self-reported hypertension prevalence in the Brazilian population: analysis of the National Health Survey, 2013. Epidemiol Serv Saúde 2015; 24:297-304.
9.   Greenland S. Basic methods for sensitivity analysis of biases. Int J Epidemiol 1996; 25:1107-16.
10.   Rogan WJ, Gladen B. Estimating prevalence from the results of a screening test. Am J Epidemiol 1978; 107:71-7.
11.   Lew RA, Levy PS. Estimation of prevalence on the basis of screening tests. Stat Med 1989; 8:1225-30.
12.   Lima-Costa MF, Peixoto SV, Firmo JOA. Validity of self-reported hypertension and its determinants (the Bambuí study). Rev Saúde Pública 2004; 38:637-42.
13.   Campos SF. Validade e reprodutibilidade de medidas antropométricas, morbidade referida, consumo de alimentos e bebidas obtidos por inquérito telefônico [Masters Thesis]. Belo Horizonte: Universidade Federal de Minas Gerais; 2011.
14.   Chrestani MAD, Santos IS, Matijasevich AM. Hipertensão arterial sistêmica auto-referida: validação diagnóstica em estudo de base populacional. Cad Saúde Pública 2009; 25:2395-406.
15.   Selem SSAC, Castro MA, César CLG, Marchioni DML, Fisberg RM. Validity of self-reported hypertension is inversely associated with the level of education in Brazilian individuals. Arq Bras Cardiol 2013; 100:52-9.
16.   Louzada JCA, Andrade RM, Dionísio EJ, Barel M, Monteiro HL, Amaral SL. Comparision between self-reported hypertension and casual blood pressure and presence of cardiovascular risk factors among health workers of Bauru and Jau cities. Medicina (Ribeirão Preto) 2010; 43:408-18.
17.   Menezes TN, Oliveira EC, Fischer MAS. Validity and concordance between self-reported and clinical diagnosis of hypertension among elderly residents in northeastern Brazil. Am J Hypertens 2014; 27:215-21.
18.   Vargas CM, Burt VL, Gillum RF, Pamuk ER. Validity of self-reported hypertension in the National Health and Nutrition Examination Survey III, 1988-1991. Prev Med 1997; 26(5 Pt 1):678-85.
19.   Martin LM, Leff M, Calonge N, Garrett C, Nelson DE. Validation of self-reported chronic conditions and health services in a managed care population. Am J Prev Med 2000; 18:215-8.
20.   Gonçalves VSS, Andrade KRC, Carvalho KMB, Silva MT, Pereira MG, Galvao TF. Accuracy of self-reported hypertension: a systematic review and meta-analysis. J Hypertens 2018; 36:970-8.
21.   Souza-Júnior PRB, Freitas MPS, Antonaci GA, Szwarcwald CL. Sampling design for the National Health Survey, Brazil 2013. Epidemiol Serv Saúde 2015; 24:207-16.
22.   Moreira JPL, Almeida RMVR, Rocha NCS, Luiz RR. Correção da prevalência autorreferida em estudos epidemiológicos com grandes amostras. Cad Saúde Pública 2016; 32:e00050816.
23.   Andrade SSCA, Malta DC, Iser BM, Sampaio PC, Moura L. Prevalence of self-reported arterial hypertension in Brazilian capitals in 2011 and analysis of its trends in the period between 2006 and 2011. Rev Bras Epidemiol 2014; 17:215-26.
24.   Barros MBA, Francisco PMSB, Zanchetta LM, César CLG. Trends in social and demographic inequalities in the prevalence of chronic diseases in Brazil. PNAD: 2003-2008. Ciênc Saúde Colet 2011; 16:3755-68.
25.   Morvan J, Coste J, Roux CH, Euller-Ziegler L, Saraux A, Guillemin F. Prevalence in two-phase surveys: accuracy of screening procedure and corrected estimates. Ann Epidemiol 2008; 18:261-9.

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