Literature DB >> 30618466

Indigenous language and inequitable maternal health care, Guatemala, Mexico, Peru and the Plurinational State of Bolivia.

Nancy Armenta Paulino1, María Sandín Vázquez1, Francisco Bolúmar1.   

Abstract

Latin America and the Caribbean still have high maternal mortality rates and access to health care is very uneven in some countries. Indigenous women, in particular, have poorer maternal health outcomes than the majority of the population and are less likely to benefit from health-care services. Therefore, inequities in maternal health between different ethnic groups should be monitored to identify critical factors that could limit health-care coverage. In adopting the United Nations' sustainable development goals, governments have committed to providing equitable and universal health coverage. It is, therefore, the right time to assess ethnic disparities in maternal health care. However, finding a standard method of identifying ethnicity has been difficult, because ethnicity involves several features, such as language, religion, tribe, territory and race. In this study, spoken indigenous language was used successfully as a proxy for ethnicity to detect inequities in maternal health-care coverage between indigenous and non-indigenous populations in four Latin American countries: Guatemala, Mexico, Peru and the Plurinational State of Bolivia. Although, quantifying ethnic inequities in health care is just a starting point, this quantification can help policy-makers and other stakeholders justify the need for monitoring these inequities. This monitoring is essential for designing more culturally appropriate programmes and policies that will reduce the risks associated with maternity among indigenous woman. As long as inequities persist, identifying them is an important step towards their elimination.

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Year:  2018        PMID: 30618466      PMCID: PMC6307509          DOI: 10.2471/BLT.18.216184

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


Introduction

Countries in Latin America and the Caribbean have some of the highest adolescent pregnancy rates in the world and adolescent pregnancies are more common among uneducated, poor and indigenous women. In these countries, women with socioeconomic disadvantages are more likely to postpone seeking care and experience delays in accessing services and receiving adequate health care., These difficulties highlight the challenges still faced in these countries in improving maternal health., Indigenous women form one of the most vulnerable groups in these countries: they experience substantially worse maternal health outcomes than the majority of the population and are less likely to benefit from services., In addition, they are more likely than other women to experience social and economic exclusion and to die during pregnancy or childbirth., Indigenous populations are adversely affected by a combination of different social determinants of health, such as poverty, limited education, disadvantageous gender roles and cultural factors. Table 1 lists differences in some of these social determinants between indigenous and non-indigenous people in four Latin American countries., In addition, health disparities between different ethnic groups may also reflect the effect of discrimination on access to health services, or on the quality of the care provided.,,
Table 1

Characteristics of indigenous and non-indigenous people and maternal health care, Guatemala, Mexico, Peru and the Plurinational State of Bolivia, 2010 and 2015

CharacteristicCountry
GuatemalaMexicoPeruPlurinational State of Bolivia
Maternal mortality ratio in 2015, per 100 000 live births883868206
Maternal health issues in 2015(i) indigenous women had a maternal mortality ratio three times that in non-indigenous women; (ii) only 30% of indigenous women had a skilled birth attendant; and (iii) the proportion of women with an unmet need for contraception was four times higher in the poorest quintile than the richest(i) pregnant women with private insurance had more antenatal consultations and received higher-quality services than women with public or no insurance; (ii) a low educational level increased a woman’s risk of dying from eclampsia or haemorrhage; and (iii) women with pregnancy complications experienced delays because of ineffective triage(i) the maternal mortality ratio in some mainly indigenous regions was more than six times higher than in the national capital; (ii) the difference between the poorest and richest quintiles in the proportion of women who had a skilled birth attendant was 32 percentage points; and (iii) in some areas, the advanced equipment needed for emergency obstetric care was available only in provincial capitals(i) the maternal mortality ratio was one of the highest in the world; (ii) the difference between the poorest and richest quintiles in the proportion of women who had at least four antenatal visits was greater than 20 percentage points; and (iii) the difference between rural and urban women in the proportion who had a skilled birth attendant was 26 percentage points
Indigenous population in 20105 881 00916 933 2837 021 2716 216 026
Indigenous people as a proportion of the population in 2010, %41.015.124.062.2
Ethnic inequities in 2010
Proportion living on less than US$ 4 per day, %
   Indigenous people77403244
   Non-indigenous people49231620
Proportion educated to lower than primary level, %
   Indigenous people43485241
   Non-indigenous people20333522
Proportion living in rural areas, %
   Indigenous peopleND464752
   Non-indigenous peopleND191813

ND: not determined.

Data sources: The World Bank.,

ND: not determined. Data sources: The World Bank., Given these disparities, it is both useful and necessary to monitor inequities in maternal health between different ethnic groups. Monitoring would help quantify differences between groups and identify critical factors that limit the coverage of care. Governments, health-care organizations and other key actors could then focus research on problematic areas to determine their cause. Subsequently, policies, programmes and practices could be changed to benefit the health of indigenous women and to ensure that resources are allocated efficiently. By accepting the United Nations’ sustainable development goals (SDGs), governments have committed themselves to continuing efforts to reduce maternal mortality and inequities in maternal health, both within and between countries. The agenda of the SDGs provides a major impetus for establishing or strengthening systems for monitoring health inequalities and calls for the production of “data disaggregated by income, gender, age, ethnicity, disability and other relevant characteristics.” This is, therefore, the right time to assess disparities in maternal health care between different ethnic groups. However, quantifying the influence of ethnicity on health inequities is not an easy task. Ethnicity is not defined by fixed or easily measurable characteristics; it is instead considered a subjective and contextual concept that involves several dimensions, such as language, religion, tribe, territory and race., The main obstacles are a lack of disaggregated data and the difficulty of identifying ethnicity in a consistent or standardized way across countries. Previous surveys carried out in several countries have used a heterogeneous set of questions to capture ethnicity and there have even been differences between surveys repeated in the same context in different years.– In previous studies of the size of the indigenous population in Latin America and the Caribbean, the most common criterion used for identifying ethnicity is spoken indigenous language. Questions about language have been included in censuses and national surveys for many years.,– From a social perspective too, spoken indigenous language has been considered a marker of ethnicity because it is a manifestation of people’s attachment to their culture.,, Consequently, this criterion may be useful for studying variations in health inequities between different ethnic groups. Here we report on how the criterion of spoken indigenous language can be used as a proxy for ethnicity in investigations of inequities in maternal health care coverage between indigenous and non-indigenous populations.

Key concepts

Ethnic and indigenous groups

An ethnic group is defined as a collectively that identifies itself, and it is identified by others, with regard to certain common elements, such as language, religion, tribe, nationality, race or a combination thereof, and whose members share a common feeling of identity.,, An indigenous group is a particular form of ethnic group: its members have an established history in a particular territory and have a common language and culture.,, At least four elements should be taken into account in defining indigenous peoples: (i) recognition of identity; (ii) common origin (iii) territoriality; and (iv) the linguistic-cultural dimension. The first element refers to the sense of belonging to a group, the second refers to the idea of coming from common ancestors, the third recognizes traditional occupation of a specific territory, and the fourth is linked to an attachment to a culture, language, worldview and way of life.,

Ethnicity and language

Ethnic group expresses its culture and social identity through language, because language is intimately linked to mental and ideological processes and to the perception of internal and external worlds. Language is a fundamental point of reference by which an ethnic group finds its own identity. Many indigenous cultures have traditional knowledge that is transmitted only orally.,,, Despite the problem of how to deal with data on multilingual individuals, people who report speaking an indigenous language are highly likely to be members of the indigenous group that speaks that language, because language is more than simply a means of communication. Language is also a central element of culture and of the process of socialization.,,, Language is therefore important for studying health care in indigenous groups. Language can be used as a proxy for membership of an indigenous group and is a strong determinant of access to health care., The presence of a language barrier has been closely linked to the limited access to health care that results from being unable to communicate with health-care personnel. Several studies have documented that poor health outcomes are more likely when there are language and cultural barriers between patients and health-care providers., Language barriers may also influence patients’ perceptions of the quality of care. Conversely, it is also possible to use the criterion of language to indirectly investigate differences in health care associated with these barriers.

Measuring inequities by ethnicity

Studying how inequities in health vary according to ethnicity involves dividing a study population into appropriate groups. However, how subgroups within a population are defined may depend on the method of data collection, the data available and the population’s characteristics. In the past, most surveys performed in Latin America and the Caribbean asked whether people spoke an indigenous language, what language they spoke or which language was spoken most often in their homes. Examples of the questions asked in four Latin American countries are shown in Fig. 1. We believe that using the criterion of primarily speaking an indigenous language enables us to identify a group of women who share a culture related to maternity, who could experience a language barrier and who could suffer discrimination, all of which may affect maternal health care.
Fig. 1

Survey questions used to identify people speaking an indigenous language, Guatemala, Mexico, Peru and the Plurinational State of Bolivia, 2008, 2009 and 2015

Survey questions used to identify people speaking an indigenous language, Guatemala, Mexico, Peru and the Plurinational State of Bolivia, 2008, 2009 and 2015 Note: The questions listed were used in the 2008 Demographic and Health Survey in Bolivia, the 2008–2009 National Survey on Maternal and Child Health in Guatemala, the 2015 National Survey of Children and Women in Mexico and the 2015 Demographic and Health Survey in Peru.–

Selecting indicators

Another essential consideration in evaluating health inequities is selecting the most appropriate indicators. For maternal health care, we believe that any analysis should consider women’s health-care coverage across the continuum of care from before pregnancy through to pregnancy, childbirth and the postpartum period. However, when viewed from the perspective of the continuum of care, every phase is important and, if possible, a composite index should be formed from all indicators monitored. Fig. 2 gives examples of the indicators used in previous studies. In addition, reducing mortality also depends on high care coverage and on the quality of the services provided. Nevertheless, the final decision on which indicators to monitor depends on the context and national and local needs.
Fig. 2

Maternal health care coverage, by ethnicity, Guatemala, Mexico, Peru and the Plurinational State of Bolivia, 2008, 2009 and 2015

Maternal health care coverage, by ethnicity, Guatemala, Mexico, Peru and the Plurinational State of Bolivia, 2008, 2009 and 2015 Notes: For each indicator, coverage was defined as the percentage of women who received the intervention among those who needed it. The composite coverage index is the weighted average of coverage of the six other indicators illustrated. Data for this figure were derived from the 2008 Demographic and Health Survey in Bolivia, the 2008–2009 National Survey on Maternal and Child Health in Guatemala, the 2015 National Survey of Children and Women in Mexico and the 2015 Demographic and Health Survey in Peru.–

Case studies

We looked at ethnic inequities in maternal health care in four Latin American countries where a substantial proportion of the population is indigenous and where the maternal mortality ratio is high: Guatemala, Mexico, Peru and the Plurinational State of Bolivia. We obtained data from Demographic and Health Surveys and Multiple Indicator Cluster Surveys.– When we used spoken indigenous language as a proxy for ethnicity, we found differences in maternal health care between different ethnic groups in all four countries despite efforts made over the last two decades to reduce maternal mortality in response to the millennium development goals (Fig. 2). In most cases, differences between ethnic groups were significant. However, ethnic differences in maternal health-care coverage varied substantially between countries and indicators. Differences were most apparent in the first and last stages of the continuum of care. The indicators that demonstrated the most substantial ethnic differences across all four countries were contraceptive use and the presence of a skilled birth attendant. These are the indicators that interventions should be focused on. The largest gaps in care for all indicators were in Guatemala and the smallest were in the Plurinational State of Bolivia (Fig. 2). Although differences in the level of maternal health care coverage between ethnic groups may be due to differences in sociodemographic characteristics, reducing inequities between ethnic groups is more complex than simply modifying these characteristics. Only improving living conditions is not enough, because other social and cultural factors also have an influence in indigenous populations.– In 2018, a study of inequities in maternal and child health interventions between ethnic groups found that, although they had decreased recently in countries such as Guatemala, Mexico and the Plurinational State of Bolivia, differences were still evident after adjustment for wealth, educational level and place of residence.

Discussion

The main advantages of using spoken language as a demographic characteristic are that it is an objective variable and that it is fixed. Moreover, to a certain extent spoken language is independent of the person's view of her- or himself and will, therefore, not change over time. In contrast, other characteristics, such as a person’s self-identification, depend on the person being recognized as indigenous and may be influenced by negative prejudices or cultural empathy., However, the main disadvantage of using language as a proxy for ethnicity is that the use of indigenous languages is gradually decreasing, particularly among the younger generation and urban populations. Therefore, such use will become increasingly difficult to base ethnic identity on spoken language, although such a proxy will still be useful in areas where groups are mainly monolingual.,,, The gold standard would be to combine several attributes, such as language, self-identification and geographical location, as this would improve acuracy.,, However, this information is not always available. In both quantitative and qualitative studies, speaking an indigenous language has been identified as one factor that influences coverage of maternal care services. Women who speak an indigenous language are less likely to have an institutional delivery and are more likely to attend fewer than four prenatal visits. Moreover, a smaller proportion of these women use modern contraceptives. In addition, the maternal mortality rate is higher in some areas where a large proportion of the population speaks an indigenous language.– These findings are consistent with the low level of coverage of maternal care services observed among indigenous women in the countries we studied. Using spoken indigenous language as a proxy for ethnicity enabled us to identify ethnic inequities in all countries analysed. Our findings are in line with those recently published, except in the Plurinational State of Bolivia, where those researchers observed greater inequities in maternal health care coverage when the criterion of self-identification was used as a proxy for ethnicity. The contrast between our findings and this previous study highlight two critical factors that should be considered when evaluating ethnic inequities. First, the method used to determine ethnicity can affect the magnitude of the inequity observed. Second, good understanding of the social context in a country is essential for accurately interpreting findings and for selecting the most appropriate proxy for ethnicity in that context. For example, in the Plurinational State of Bolivia, current social attitudes towards the indigenous population may increase people’s willingness to identify themselves as indigenous. In contrast, in some situations where discrimination and exclusion are common, people may not want to recognize themselves as indigenous.,,, Our findings confirm that indigenous people are vulnerable to inequities in health care. Therefore, efforts should be made both locally and nationally to provide data disaggregated by ethnicity, because the lack of such data could obscure inequities that may lie behind the averages. Historically, the indigenous population in Latin America and the Caribbean has been invisible statistically, because few data from the region have been disaggregated by ethnicity., Future studies of ethnic inequities in indigenous populations should: (i) investigate the heterogeneity of the indigenous population; (ii) verify study findings using another criterion for identifying ethnicity; (iii) analyse trends in inequities over time; and (iv) evaluate other indicators of coverage across the continuum of maternal health care. Regardless of the criteria used to monitor ethnic inequities, transparency is needed about why the criteria have been used and about how ethnicity has been categorized if we are to understand the context and scope of a study’s findings. Moreover, we should be cautious about comparisons with other studies and about generalizing a study’s findings, because the observed magnitude of any inequity could be altered using a different criterion to identify ethnicity. In conclusion, quantifying ethnic inequities in health care is just a starting point. Awareness of these inequities can help policy-makers and other stakeholders justify the need for monitoring and the use of spoken indigenous language as a criterion can be useful. Moreover, monitoring inequities is essential for designing more culturally appropriate programmes and policies that will reduce the risks associated with maternity among indigenous woman. As long as inequities persist, identifying them is an important step towards their elimination.
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