ABSTRACT

Objective:

To present the methodology used in the development of two products for maternal health surveillance and its determinants and discuss their possible uses.

Methods:

Based on a theoretical model of the determinants of maternal death and databases of Brazilian health information systems, two free products were developed: an interactive panel “surveillance of maternal health” and an educational material “Aparecida: a story about the vulnerability of Brazilian women to maternal death”, both available on the website of the Brazilian Obstetric Observatory.

Results:

More than 30 indicators were calculated for the period 2012-2020, containing information on socioeconomic conditions and access to health services, reproductive planning, prenatal care, delivery care, conditions of birth and maternal mortality and morbidity. The indicators related to severe maternal morbidity in public hospitalizations stand out, calculated for the first time for the country. The panel allows analysis by municipality or aggregated by health region, state, macro-region and country; historical series analysis; and comparisons across locations and with benchmarks. Information quality data are presented and discussed in an integrated manner with the indicators. In the educational material, visualizations with national and international data are presented, aiming to help in the understanding of the determinants of maternal death and facilitate the interpretation of the indicators.

Conclusion:

It is expected that the two products have the potential to expand epidemiological surveillance of maternal health and its determinants, contributing to the formulation of health policies and actions that promote women’s health and reduce maternal mortality.

Keywords:
Epidemiological monitoring; Maternal health; Maternal death; Information systems

INTRODUCTION

Maternal death is a major public health problem in Brazil and worldwide. Globally, Maternal Mortality Ratio (MMR) was estimated to be 223 per 100,000 live births (LB) in 2020, with higher values in low- and middle-income countries and stagnation of the downward trend between 2016 and 2020¹1. World Health Organization. Trends in maternal mortality 2000 to 2020: estimates by WHO, UNICEF, UNFPA, World Bank Group and UNDESA/Population Division [Internet]. [acessado em 01 jul. 2023]. Disponível em: Disponível em: https://www.who.int/publications/i/item/9789240068759 .
https://www.who.int/publications/i/item/... ^,22. Lawrence ER, Klein TJ, Beyuo TK. Maternal mortality in low and middle-income countries. Obstet Gynecol Clin North Am 2022; 49(4): 713-33. https://doi.org/10.1016/j.ogc.2022.07.001
https://doi.org/10.1016/j.ogc.2022.07.00... .

In Brazil, MMR has shown a downward trend since the 1990s³3. Leal LF, Malta DC, Souza MFM, Vasconcelos AMN, Teixeira RA, Veloso GA, et al. Maternal mortality in Brazil, 1990 to 2019: a systematic analysis of the Global Burden of Disease Study 2019. Rev Soc Bras Med Trop 2022; 55(suppl 1): e0279. https://doi.org/10.1590/0037-8682-0279-2021
https://doi.org/10.1590/0037-8682-0279-2... , with a less pronounced decline from the year 2000 onward, but still much higher than the targets of the Millennium Development Goals and the Sustainable Development Goals, agreed internationally⁴4. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Mortalidade Materna no Brasil 2009-2020 [Internet]. Boletim Epidemiológico; 2022; 20(53): 19-29, [acessado em 13 ago. 2023]. Disponível em: Disponível em: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/boletins/epidemiologicos/edicoes/2022/boletim-epidemiologico-vol-53-no20/view .
https://www.gov.br/saude/pt-br/centrais-... .

Despite the high MMR values, maternal death is an infrequent event, especially in the context of health services or in places with a small number of births. In the 2012-2020 period, 43% of Brazilian municipalities recorded no occurrences of maternal death⁵5. Brasil. Ministério da Saúde. Datasus. Tabnet [Internet]. [acessado em 11 jun. 2023]. Disponível em: Disponível em: https://datasus.saude.gov.br/informacoes-de-saude-tabnet/
https://datasus.saude.gov.br/informacoes... , limiting the usefulness of investigation these deaths for formulating strategies to promote maternal health in these contexts.

Maternal mortality has multiple determinants⁶6. Crear-Perry J, Correa-de-Araujo R, Johnson TL, McLemore MR, Neilson E, Wallace M. Social and structural determinants of health inequities in maternal health. J Womens Health (Larchmt). 2021; 30(2): 230-5. https://doi.org/10.1089/jwh.2020.8882
https://doi.org/10.1089/jwh.2020.8882... , being affected by the social condition of women, access to reproductive health and prenatal care (PN) and childbirth services, and by clinical and obstetric complications that may occur during pregnancy, childbirth, and the postpartum period. Considering this context, the research question is: “Is it possible to use other social and health indicators to expand maternal health surveillance with a view to preventing and controlling maternal deaths?”

As part of a call for data science in women’s health, two products were developed to expand maternal health surveillance and knowledge about the determinants of maternal death. The objective of this article was to present the methodology adopted in the development of these products and discuss their possible uses.

Steps in product development

Two products were developed, with free access, hosted on the Brazilian Obstetric Observatory website: the panel “Maternal health surveillance” (https://observatorioobstetrico.shinyapps.io/painel-vigilancia-saude-materna/) and “Aparecida: a story about the vulnerability of Brazilian women to maternal death” (https://observatorioobstetricobr.org/a-historia-de-aparecida/). Both products were developed with de-identified data from Brazilian information systems publicly available on the website of the Information Technology Department of the Unified Health System (Departamento de Informática do Sistema Único de Saúde - DATASUS): Live Birth Information System (Sistema de Informação sobre Nascidos Vivos - SINASC), Mortality Information System (Sistema de Informação sobre Mortalidade - SIM), Primary Care Information System (Sistema de Informação da Atenção Básica - SIAB), Notifiable Diseases Information System (Sistema de Informação de Agravos de Notificação - SINAN), Hospital Information System of the Unified Health System (Sistema de Informações Hospitalares do Sistema Único de Saúde - SIH/SUS), National Registry of Health Establishments (Cadastro Nacional de Estabelecimentos de Saúde - CNES), and data from National Supplementary Health Agency (Agência Nacional de Saúde Suplementar - ANS) and the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística - IBGE).

The first step in product development was the development of a theoretical model of the determinants of maternal death, based on available scientific literature⁶6. Crear-Perry J, Correa-de-Araujo R, Johnson TL, McLemore MR, Neilson E, Wallace M. Social and structural determinants of health inequities in maternal health. J Womens Health (Larchmt). 2021; 30(2): 230-5. https://doi.org/10.1089/jwh.2020.8882
https://doi.org/10.1089/jwh.2020.8882... (Figure 1). Using this model as a reference, all sources of information that made data available by Brazilian municipality, the lowest level of geographic aggregation used, were explored. Considering the theoretical model and available data, a list of potential indicators was made, which were calculated by federation unit, using the municipality of Rio de Janeiro as a reference to validate the calculation method. This choice was due to the good health surveillance system of the Municipal Health Secretariat of Rio de Janeiro (Secretaria Municipal de Saúde do Rio de Janeiro - SMS/RJ), as well as the participation of a professional from SMS/RJ in the research team, which facilitated access to municipal databases, whenever there were doubts.

After refining the initial list, the indicators included in the panel were selected, summarized in Chart 1. All indicators were calculated for the period 2012-2020, by Brazilian municipality. ETL (data extraction, transformation, and loading) routines were developed for the selected indicators, with the data stored in Elasticsearch. Information sources used are described in Chart 2.

The last step was the development of the online interactive panel, built using the Shiny package of R language²²22. Chang W, Cheng J, Allaire J, Sievert C, Schloerke B, Xie Y, et al. Shiny: web application framework for R. R package version 1.7.1 [Internet]. 2021 [acessado em 12 set. 2022]. Disponível em: Disponível em: https://CRAN.R-project.org/package=shiny .
https://CRAN.R-project.org/package=shiny... . Various visualization possibilities were tested, as well as explanatory texts developed for each indicator (definition, calculation method, quality assessment, how to interpret). The panel allows data to be viewed according to different geographic areas (municipality, state micro and macro regions, federation unit, macro regions of the country, and country), using the files available in DATASUS to define health sectors²³23. Brasil. Ministério da Saúde. DATASUS. Transferência de arquivos [Internet]. [acessado em 11 jun. 2023]. Disponível em: Disponível em: https://datasus.saude.gov.br/transferencia-de-arquivos
https://datasus.saude.gov.br/transferenc... .

For all indicators, coverage and information completeness data are presented to alert users about possible errors in the indicator, in the case of low coverage⁷7. Szwarcwald CL, Leal MC, Esteves-Pereira AP, Almeida WS, Frias PG, Damacena GN, et al. Avaliação das informações do Sistema de Informações sobre Nascidos Vivos (SINASC), Brasil. Cad Saúde Pública 2019; 35(10): e00214918. https://doi.org/10.1590/0102-311X00214918
https://doi.org/10.1590/0102-311X0021491... or high incompleteness⁸8. Romero DE, Cunha CB. Avaliação da qualidade das variáveis sócio-econômicas e demográficas dos óbitos de crianças menores de um ano registrados no Sistema de Informações sobre Mortalidade do Brasil (1996/2001). Cad Saúde Pública 2006; 22(3): 673-81. https://doi.org/10.1590/s0102-311x2006000300022
https://doi.org/10.1590/s0102-311x200600... , and the need for the result to be interpreted with caution. When data for this assessment are not available, an alert is made about errors in the information system that could result in limitations in the use of the indicator. The message described in the alert aims to raise awareness among managers of the importance of actions to continuously improve information systems.

Reference standards are presented for all panel indicators, which allow the evaluation performance in each selection made. The following were used as reference:

The indicators are presented at three levels. In the first, all indicators for the selected geographic area and year are presented, with a report available for printing. In the second, the historical series of indicators for each block of the theoretical model is presented, making it possible to select the period to be analyzed, as well as comparators (for example, other municipalities in the same micro-region or with a similar Municipal Human Development Index - MHDI¹⁸18. Programa das Nações Unidas para o Desenvolvimento. Instituto de Pesquisa Econômica Aplicada. Fundação João Pinheiro. Atlas do desenvolvimento humano no Brasil [Internet]. [acessado em 17 ago. 2023]. Disponível em: Disponível em: http://www.atlasbrasil.org.br
http://www.atlasbrasil.org.br... ). In the third, each indicator is presented individually, with its documentation and other visualization possibilities. Documentation of the calculation method for all indicators is available in the panel menu, under the “indicator documentation” icon (https://observatorioobstetrico.shinyapps.io/painel-vigilancia-saude-materna/).

The panel also has the access link to “Aparecida: a story about the vulnerability of Brazilian women to maternal death.” It is an educational material, based on the story of a fictional woman, but which reflects the story of many Brazilian women. It begins when Aparecida has an unplanned pregnancy at age 15 and ends when she experiences severe maternal morbidity during the birth of her fifth child. Throughout the story, situations are presented that reflect Aparecida’s vulnerability to maternal death, which can be captured by the indicators presented in the panel. At each stage of the story, users are offered the opportunity to “find out more”, in which national and/or international data on the indicators covered are presented, aiming to assist in understanding the determinants of maternal death and in the interpretation and possibility of using the indicators displayed on the panel. At the end of “to find out more”, a link to access the indicator panel is always available, integrating the two products.

Relevance of health indicators available on the panel

In Block 1, “Socioeconomic conditions and access to health services”, five indicators are presented. MHDI is a composite measure that uses the same dimensions as Global HDI (longevity, education, and income), adapting the global methodology to the Brazilian context and the availability of national indicators¹⁸18. Programa das Nações Unidas para o Desenvolvimento. Instituto de Pesquisa Econômica Aplicada. Fundação João Pinheiro. Atlas do desenvolvimento humano no Brasil [Internet]. [acessado em 17 ago. 2023]. Disponível em: Disponível em: http://www.atlasbrasil.org.br
http://www.atlasbrasil.org.br... . It was used due to its inverse relationship between HDI and MMR²⁴24. Our World in Data. Maternal mortality [Internet]. [acessado em 17 ago. 2023]. Disponível em: Disponível em: https://ourworldindata.org/maternal-mortality
https://ourworldindata.org/maternal-mort... : the lower the HDI, the higher the MMR. MHDI cannot be compared to the HDI of other countries, but it allows comparison between Brazilian municipalities, identifying those with lower values and, therefore, greater vulnerability to maternal death. In Brazil, higher MMR values are observed in women at extreme ages, in women with less education and in those with black or indigenous skin color/race⁵5. Brasil. Ministério da Saúde. Datasus. Tabnet [Internet]. [acessado em 11 jun. 2023]. Disponível em: Disponível em: https://datasus.saude.gov.br/informacoes-de-saude-tabnet/
https://datasus.saude.gov.br/informacoes... . The indicator that presents the distribution of LB according to age, education and mother’s skin color aims to identify the municipalities with the highest percentage of most vulnerable women. The indicator “percentage of women aged 10 to 49 who are exclusive users of SUS” was calculated based on ANS data relating to beneficiaries of medical health plans. This indicator reflects the social vulnerability of women, since, in Brazil, access to health plans is associated with a better economic situation²⁵25. Instituto Brasileiro de Geografia e Estatística. Pesquisa nacional de saúde: 2013: acesso e utilização dos serviços de saúde, acidentes e violências: Brasil, grandes regiões e unidades da federação [Internet]. Rio de Janeiro: IBGE; 2015 [acessado em 14 abr. 2023]. Disponível em: Disponível em: https://biblioteca.ibge.gov.br/visualizacao/livros/liv94074.pdf
https://biblioteca.ibge.gov.br/visualiza... ^,2626. Instituto Brasileiro de Geografia e Estatística. Pesquisa nacional de saúde: 2019: informações sobre domicílios, acesso e utilização dos serviços de saúde: Brasil, grandes regiões e unidades da federação [Internet]. Rio de Janeiro: IBGE; 2020 [acessado em 14 abr. 2023]. Disponível em: Disponível em: https://biblioteca.ibge.gov.br/visualizacao/livros/liv101748.pdf
https://biblioteca.ibge.gov.br/visualiza... , and indicates the percentage of women aged 10 to 49 years who depend exclusively on SUS, contributing to the planning of health actions and services. Finally, population coverage with Family Health Teams is relevant, as it is the gateway to the health system, with health promotion actions, chronic disease control, and reproductive planning and PN assistance services.

In Block 2, “Reproductive Planning”, four indicators are presented that indirectly reflect access to reproductive planning services, as no Brazilian information system contains population information on the use of contraceptive methods. The fertility rate in women under 20 years of age was chosen because it presents high values in Latin America, with its reduction being one of the goals of the Pan American Health Organization (PAHO) for the year 2030²⁷27. Organização Pan-Americana da Saúde. Agenda de saúde sustentável para as Américas 2018-2030: um chamado à ação para a saúde e o bem estar na região [Internet]. 2017 [acessado em 12 out. 2022]. Disponível em: Disponível em: https://iris.paho.org/bitstream/handle/10665.2/49172/CSP296-por.pdf?sequence=1&isAllowed=y
https://iris.paho.org/bitstream/handle/1... . Pregnancy in women under 20 years of age occurs with frequency in an unplanned manner, being associated with limited educational and work opportunities, perpetuating intergenerational cycles of poverty²⁷27. Organização Pan-Americana da Saúde. Agenda de saúde sustentável para as Américas 2018-2030: um chamado à ação para a saúde e o bem estar na região [Internet]. 2017 [acessado em 12 out. 2022]. Disponível em: Disponível em: https://iris.paho.org/bitstream/handle/10665.2/49172/CSP296-por.pdf?sequence=1&isAllowed=y
https://iris.paho.org/bitstream/handle/1... . The indicator “percentage of multiparous women” was chosen because it indicates possible barriers to reproductive planning, in a context of decreasing fertility rates in the country¹⁵15. Fundo de População das Nações Unidas. Fecundidade e dinâmica da população brasileira [Internet]. Brasília: UNFPA; 2018 [acessado em 7 jul. 2022]. Disponível em: Disponível em: https://brazil.unfpa.org/pt-br/publications/fecundidade-e-dinamica-da-populacao-brasileira-folder
https://brazil.unfpa.org/pt-br/publicati... . Despite the low values, a higher proportion than the national average may indicate local barriers that should be investigated. Finally, the indicators “rate of unsafe abortions per 1,000 women of childbearing age (WCA)” and “ratio of unsafe abortions per 100 LB” estimate the frequency of unsafe abortions (UA) in WCA and the UA/LB ratio, respectively. The higher the value, the greater the frequency of UA and unmet contraceptive needs. For the calculation, the methodology by Guttmacher Institute¹⁹19. Singh S, Prada E, Juarez F. The abortion incidence complications method: a quantitative technique. In: Singh S, Remez L, Tartaglione A, eds. Methodologies for estimating abortion incidence and abortion-related morbidity: a review [Internet]. New York: Guttmacher Institute; 2010. p. 71-98. [acessado em 12 jan. 2023]. Disponível em: Disponível em: https://www.guttmacher.org/sites/default/files/pdfs/pubs/compilations/IUSSP/IUSSP-Chapter6.pdf
https://www.guttmacher.org/sites/default... was used, which proposes the application of correction factors (for hospitalizations due to spontaneous abortion and terminations of pregnancy that did not result in hospital admission) to the number of hospitalizations due to abortion, to estimate the total number of UA.

In Block 3, “Prenatal care”, there are four indicators. Brazil has almost universal coverage of PN assistance²⁸28. Viellas EF, Domingues RM, Dias MA, Gama SG, Theme Filha MM, Costa JV, et al. Assistência pré-natal no Brasil. Cad Saúde Pública 2014; 30 Suppl 1:S85-100. https://doi.org/10.1590/0102-311x00126013
https://doi.org/10.1590/0102-311x0012601... , and a higher proportion of women without at least one PN consultation is an indicator of social vulnerability and possible barriers to accessing primary care. Early initiation of PN is essential for adequate care during pregnancy, with values still low in the country. In the “Birth in Brazil” study, carried out in 2011/2012, only a quarter of women started PN early, with late start associated with difficulties in diagnosing pregnancy, personal issues, and access barriers²⁸28. Viellas EF, Domingues RM, Dias MA, Gama SG, Theme Filha MM, Costa JV, et al. Assistência pré-natal no Brasil. Cad Saúde Pública 2014; 30 Suppl 1:S85-100. https://doi.org/10.1590/0102-311x00126013
https://doi.org/10.1590/0102-311x0012601... . For the number of PN consultations, the WHO recommendations were considered, which since 2016 has indicated a minimum number of eight PN consultations for a pregnant woman at usual risk¹²12. World Health Organization. WHO recommendations on antenatal care for a positive pregnancy experience. Genebra: World Health Organization; 2016.. In the absence of information that allows the assessment of the content of PN care, we used the incidence of congenital syphilis as a marker of the quality of this care, as it is an outcome to be avoided exclusively with control actions carried out during pregnancy⁹9. World Health Organization. Global guidance on criteria and processes for validation: elimination of mother-to-child transmission of HIV, syphilis and hepatitis B virus. Genebra: World Health Organization; 2021..

In Block 4, “Childbirth assistance”, two sets of indicators are presented: indicators related to the percentage of births by cesarean section and indicators that reflect the displacement of women to birth assistance. There is no evidence that a population cesarean rate higher than 15% is associated with lower MMR²⁹29. Ye J, Betrán AP, Vela MG, Souza JP, Zhang J. Searching for the optimal rate of medically necessary cesarean delivery. Birth 2014; 41(3): 237-44. https://doi.org/10.1111/birt.12104
https://doi.org/10.1111/birt.12104... ^,3030. Ye J, Zhang J, Mikolajczyk R, Torloni MR, Gülmezoglu AM, Betran AP. Association between rates of caesarean section and maternal and neonatal mortality in the 21st century: a worldwide population-based ecological study with longitudinal data. BJOG 2016; 123(5): 745-53. https://doi.org/10.1111/1471-0528.13592
https://doi.org/10.1111/1471-0528.13592... , but, in Brazil, cesarean sections have been the main type of birth since 2009, with a rate higher than 50%³¹31. Domingues RMSM, Dias MAB, Nakamura-Pereira M, Torres JA, d’Orsi E, Pereira APE, et al. Process of decision-making regarding the mode of birth in Brazil: from the initial preference of women to the final mode of birth. Cad Saude Publica 2014; 30 Suppl 1: S1-16. https://doi.org/10.1590/0102-311x00105113
https://doi.org/10.1590/0102-311x0010511... . The WHO recommends the use of Robson groups to analyze cesarean sections¹⁴14. World Health Organization. WHO Robson classification: implementation manual. Genebra: World Health Organization; 2017.. In this methodology³²32. Robson MS. Can we reduce the caesarean section rate? Best Pract Res Clin Obstet Gynaecol 2001; 15(1): 179-94. https://doi.org/10.1053/beog.2000.0156
https://doi.org/10.1053/beog.2000.0156... , women are classified into ten groups, and the size of the groups, the cesarean rate in each group and the proportional contribution of each group to the overall cesarean rate are evaluated. The larger the group size and the higher the cesarean section rate in the group, the greater its contribution to the global cesarean rate, with groups 2 and 5 being the most relevant in Brazil³³33. Paixao ES, Bottomley C, Smeeth L, Costa MCN, Teixeira MG, Ichihara MY, et al. Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017. BMC Pregnancy Childbirth 2021; 21(1): 589. https://doi.org/10.1186/s12884-021-04060-5
https://doi.org/10.1186/s12884-021-04060... . The second group of indicators is based on the model of three delays related to maternal death³⁴34. Thaddeus S, Maine D. Too far to walk: maternal mortality in context. Soc Sci Med 1994; 38(8): 1091-110. https://doi.org/10.1016/0277-9536(94)90226-7
https://doi.org/10.1016/0277-9536(94)902... , in which the longer the delay in receiving appropriate care, the greater the risk of maternal death³⁵35. Pacagnella RC, Cecatti JG, Parpinelli MA, Sousa MH, Haddad SM, Costa ML, et al. Delays in receiving obstetric care and poor maternal outcomes: results from a national multicentre cross-sectional study. BMC Pregnancy Childbirth 2014; 14: 159. https://doi.org/10.1186/1471-2393-14-159
https://doi.org/10.1186/1471-2393-14-159... . With the data available in information systems, it is possible to evaluate the second delay, i.e., the delay in accessing a birth care service³⁴34. Thaddeus S, Maine D. Too far to walk: maternal mortality in context. Soc Sci Med 1994; 38(8): 1091-110. https://doi.org/10.1016/0277-9536(94)90226-7
https://doi.org/10.1016/0277-9536(94)902... . The panel presents the percentage of births according to place of occurrence and the median travel distance to birth care services located outside the municipality of residence, according to the level of complexity of the service. In general, the greater the percentage of births outside the municipality of residence and the greater the median displacement, the greater the woman’s vulnerability to maternal death and the greater the need for bed regulation and safe transportation, especially for women with high gestational risk.

In Block 5, “Birth conditions”, indicators related to the newborn are presented, but which reflect the quality of PN and childbirth care. The percentage of births with low birth weight (weight <2,500 g)³⁶36. Blencowe H, Krasevec J, Onis M, Black RE, Na X, Stevens GA, et al. National, regional, and worldwide estimates of low birthweight in 2015, with trends from 2000: a systematic analysis. Lancet Glob Health 2019; 7(7): e849-e860. https://doi.org/10.1016/S2214-109X(18)30565-5
https://doi.org/10.1016/S2214-109X(18)30... and preterm births (gestational age <37 weeks)¹⁶16. Chawanpaiboon S, Vogel JP, Mole AB, Lumbiganon P, Petzold M, Hogan D, et al. Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis. Lancet Glob Health 2019; 7(1): e37-e46. https://doi.org/10.1016/S2214-109X(18)30451-0
https://doi.org/10.1016/S2214-109X(18)30... are the main risk factors for infant mortality and can be reduced with actions developed during PN care, such as treating complications and reducing risk factors like smoking and alcohol and drug use. Early term births (born at 37 to 38 weeks) present a higher risk of complications than those born at full term (with 39 and 40 gestational weeks)³⁷37. Leal MC, Esteves-Pereira AP, Nakamura-Pereira M, Domingues RMSM, Dias MAB, Moreira ME, et al. Burden of early-term birth on adverse infant outcomes: a population-based cohort study in Brazil. BMJ Open 2017; 7(12): e017789. https://doi.org/10.1136/bmjopen-2017-017789
https://doi.org/10.1136/bmjopen-2017-017... , with a higher percentage of early term births being observed in places with a higher percentage of cesarean sections³⁸38. Barros FC, Rabello Neto DL, Villar J, Kennedy SH, Silveira MF, Diaz-Rossello JL, et al. Caesarean sections and the prevalence of preterm and early-term births in Brazil: secondary analyses of national birth registration. BMJ Open 2018; 8(8): e021538. https://doi.org/10.1136/bmjopen-2018-021538
https://doi.org/10.1136/bmjopen-2018-021... .

Finally, Block 6 presents indicators of “Maternal mortality and morbidity.” Generally, in places with a small number of deaths, MMR is not calculated, due to the large fluctuation of the indicator, and only the absolute number of deaths is presented. However, we chose to present both indicators, even in small municipalities, as we understand that the high MMR, even with the occurrence of just one death, demonstrates the severity of the indicator, which could be relativized by the low frequency of the outcome. The percentage of deaths due to direct maternal causes, which are most affected by the quality of PN and childbirth care, is also presented, as well as the main specific causes of these deaths³⁹39. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise da Situação de Saúde. Guia de vigilância epidemiológica do óbito materno [Internet]. Brasília: Ministério da Saúde; 2009 [acessado em 12 ago. 2023]. Disponível em: Disponível em: https://bvsms.saude.gov.br/bvs/publicacoes/guia_vigilancia_epidem_obito_materno.pdf
https://bvsms.saude.gov.br/bvs/publicaco... . For maternal morbidity, the severe maternal morbidity indicator (SMM) is presented and calculated from SIH/SUS data, according to the WHO classification for “potentially life-threatening conditions”⁴⁰40. World Health Organization. Evaluating the quality of care for severe pregnancy complications: the WHO near-miss approach for maternal health. Genebra: World Health Organization; 2011.^,4141. Say L, Souza JP, Pattinson RC; WHO working group on Maternal Mortality and Morbidity classifications. Maternal near miss--towards a standard tool for monitoring quality of maternal health care. Best Pract Res Clin Obstet Gynaecol 2009; 23(3): 287-96. https://doi.org/10.1016/j.bpobgyn.2009.01.007
https://doi.org/10.1016/j.bpobgyn.2009.0... . In addition to the percentage of obstetric hospitalizations classified as SMM, the present study brings the main causes of morbidity (hypertension, hemorrhage, and infections) as well as the main management indicators (admission to the Intensive Care Unit - ICU, hospitalization for more than 7 days postpartum, transfusion of blood products and surgical procedures).

Implications for epidemiological surveillance

The “Maternal health surveillance” panel uses data that are already available in several Brazilian information systems. Its innovation consists of integrating these data into a single digital platform, providing indicators calculated for different periods and geographic areas, allowing comparisons between locations and reference standards. The panel also provides several informative texts that aim to democratize access and use of health indicators by managers, health professionals, researchers, students and social movements. It should be noted that the analysis of all indicators must consider the context of the period analyzed. For example, the shortage of penicillin in the country, in the period 2013-2017, affected the incidence of cases of congenital syphilis⁴²42. Araujo RS, Souza ASS, Braga JU. Who was affected by the shortage of penicillin for syphilis in Rio de Janeiro, 2013-2017?. Rev Saúde Pública 2023; 54: 109. https://doi.org/10.11606/s1518-8787.2020054002196
https://doi.org/10.11606/s1518-8787.2020... , while the Covid-19 pandemic increased the number of maternal deaths⁴³43. Guimarães RM, Reis LGC, Gomes MASM, Magluta C, Freitas CM, Portela MC. Tracking excess of maternal deaths associated with COVID-19 in Brazil: a nationwide analysis. BMC Pregnancy Childbirth 2023; 23(1): 22. https://doi.org/10.1186/s12884-022-05338-y
https://doi.org/10.1186/s12884-022-05338... .

The material “Aparecida: a story about the vulnerability of Brazilian women to maternal death”, integrated into the indicator panel, complements information on health indicators, promoting knowledge about the determinants of maternal death and its preventability. Maternal mortality is an indicator that reflects the situation of women in society, and the reduction of maternal deaths and the promotion of women’s health depend not only on health services, but on intersectoral policies and actions²2. Lawrence ER, Klein TJ, Beyuo TK. Maternal mortality in low and middle-income countries. Obstet Gynecol Clin North Am 2022; 49(4): 713-33. https://doi.org/10.1016/j.ogc.2022.07.001
https://doi.org/10.1016/j.ogc.2022.07.00... ^,66. Crear-Perry J, Correa-de-Araujo R, Johnson TL, McLemore MR, Neilson E, Wallace M. Social and structural determinants of health inequities in maternal health. J Womens Health (Larchmt). 2021; 30(2): 230-5. https://doi.org/10.1089/jwh.2020.8882
https://doi.org/10.1089/jwh.2020.8882... . We believe that its use can be encouraged among maternal mortality committees and health councils, encouraging their work to be more autonomous and, at the same time, technically and scientifically based.

We understand that the use of the indicator panel has the potential to expand maternal health surveillance, especially in the more than 4 thousand Brazilian municipalities that have a small population and do not record maternal deaths regularly, but also in those that report maternal deaths more frequently. The investigation of maternal deaths, which has not yet reached the expected national target of 100% coverage, aims at an in-depth analysis of death cases³⁹39. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise da Situação de Saúde. Guia de vigilância epidemiológica do óbito materno [Internet]. Brasília: Ministério da Saúde; 2009 [acessado em 12 ago. 2023]. Disponível em: Disponível em: https://bvsms.saude.gov.br/bvs/publicacoes/guia_vigilancia_epidem_obito_materno.pdf
https://bvsms.saude.gov.br/bvs/publicaco... , while the data made available in the panel allow us to verify to what extent a situation identified in the death also affects other women from that same municipality, making them vulnerable to a negative outcome. Furthermore, the low frequency of deaths may prevent all existing vulnerability situations from appearing in the deaths investigated. They are, therefore, strategies that complement each other.

The panel presents indicators that, although calculated from data available in information systems, require detailed calculations and are not readily available for consultation. Among them, we highlight the percentage of women aged 10 to 49 years who are exclusive users of SUS, the fertility rate in women under 20 years of age, the rate of UA per 1,000 WCA, the ratio of UA per 100 LB, the proportion of births according to place of occurrence, the median travel distance to the birth care service and indicators related to SMM. All these indicators aggregate relevant information about women’s health, and their incorporation into epidemiological surveillance is an important contribution of this tool. Some indicators, such as UA rate, UA ratio, and SMM indicators, present methodological challenges and could be improved through their use and review by other researchers.

Specifically, MMG indicators represent an advance in maternal morbidity surveillance. Since 2011, the WHO has recommended the analysis of SMM as a complementary strategy to the study of maternal death⁴⁰40. World Health Organization. Evaluating the quality of care for severe pregnancy complications: the WHO near-miss approach for maternal health. Genebra: World Health Organization; 2011., as it is more frequent and presents the same determinants, allowing for more robust analyses⁴¹41. Say L, Souza JP, Pattinson RC; WHO working group on Maternal Mortality and Morbidity classifications. Maternal near miss--towards a standard tool for monitoring quality of maternal health care. Best Pract Res Clin Obstet Gynaecol 2009; 23(3): 287-96. https://doi.org/10.1016/j.bpobgyn.2009.01.007
https://doi.org/10.1016/j.bpobgyn.2009.0... . The SMM indicator calculated based on the WHO criteria for “potentially life-threatening conditions” is presented in the panel, representing serious morbidities. The availability of the frequency of these cases, as well as their causes and main management indicators, represents an advance in the epidemiological surveillance of maternal morbidity and can help managers, especially in municipalities that do not record maternal deaths regularly, to plan their health services. It should be noted, however, that these cases only refer to SMM identified in public hospitalizations, with limited information in municipalities with a high percentage of women benefiting from health plans.

The panel also encourages the improvement of information quality, by presenting quality data integrated with the indicators available, drawing attention to the need for constant improvement in the coverage of information systems and the quality of data recording.

The biggest challenge in developing the panel was the use of a large number of databases from information systems with variable implementation time, purpose, coverage, and filling quality. The development of the project showed the importance of multidisciplinary teamwork, involving data scientists, statisticians, epidemiologists, professionals who work in health surveillance and experts on the topic. It also showed the importance of studying all available documentation about the information system that will be used, avoiding errors resulting from misunderstanding of its variables and way of functioning; as well as the need to explore the database to identify inconsistencies and variations in the filling pattern that may reflect regional differences and not necessarily filling errors, especially in a continental country like Brazil.

To conclude, the products presented have the potential to expand epidemiological surveillance of maternal health and its determinants, contributing to the formulation of health policies and actions that promote women’s health and reduce maternal mortality.

As future developments, we identified the need for periodic updating of the panel, with its planned biannual update. The panel has a flexible architecture that allows, whenever necessary, the inclusion of new indicators, and its expansion is already underway to include “maternal and perinatal health surveillance.” There is also the possibility of developing an intra-municipal panel, with disaggregated indicators, which would be very relevant for larger municipalities in which the municipal average can hide intra-municipal inequalities.

ACKNOWLEDGMENTS:

We would like to thank all professionals and undergraduate scholarship holders from Universidade Federal do Rio de Janeiro (UFRJ) and Universidade Federal do Espírito Santo (Ufes) who participated in the various stages of project development and to PCDaS/Fiocruz and ODD.Studio for their support.

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