- Record: found
- Abstract: found
- Article: found
Implementation and clinical effectiveness of a community-based non-communicable disease treatment programme in rural Mexico: a difference-in-differences analysis
research-article
Author(s):
Kevin Duan
1
,
2 ,
Ryan McBain
3 ,
Hugo Flores
1
,
4
,
5 ,
Francisco Rodriguez Garza
1 ,
Gustavo Nigenda
1 ,
Lindsay Palazuelos
3 ,
Daniel Palazuelos
1
,
4
,
5 ,
Elena Moreno Lázaro
6 ,
Natán Enríquez Ríos
6 ,
Patrick F Elliott
1
,
4
,
5
Publication date (Electronic):
25 April 2018
Journal:
Health Policy and Planning
Publisher:
Oxford University Press
Read this article at
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Abstract
Non-communicable diseases (NCDs) account for the five largest contributors to burden of disease in Mexico, with diabetes representing the greatest contributor. However, evidence supporting chronic disease programmes in Mexico is limited, especially in rural communities. Compañeros En Salud (CES) partnered with the Secretariat of Health of Chiapas, Mexico to implement a novel community-based NCD treatment programme. We describe the implementation of this programme and conducted a population-based, retrospective analysis, using a difference-in-differences regression approach to estimate the impact of the programme. Specifically, we examined changes in diabetes and hypertension control rates between 2014 and 2016, comparing CES intervention clinics ( n = 9) to care-as-usual at non-CES clinics ( n = 806), adjusting for differences in facility-level characteristics. In 2014, the percent of diabetes patients with this condition under control was 36.9% at non-CES facilities, compared with 41.3% at CES facilities ( P > 0.05). For hypertension patients, these figures were 45.2% at non-CES facilities compared with 56.2% at CES facilities ( P = 0.02). From 2014 to 2016, the percent of patients with diabetes under control declined by 9.2% at non-CES facilities, while improving by 11.3% at non-CES facilities where the Compañeros En Salud Programa de Enfermedades Crónicas intervention was implemented ( P < 0.001). Among hypertension patients, those with the condition under control increased by 21.5% at non-CES facilities between 2014 and 2016, compared with 16.2% at CES facilities ( P > 0.05). Introduction of the CES model of NCD care was associated with significantly greater improvements in diabetes management between 2014 and 2016, compared with care-as-usual. Hypertension control measures were already greater at CES facilities in 2014, a difference that was maintained through 2016. These findings highlight the successful implementation of a framework for providing NCD care in rural Mexico, where a rapidly increasing NCD disease burden exists.
Related collections
Most cited references21
- Record: found
- Abstract: found
- Article: not found
Characterizing the Epidemiological Transition in Mexico: National and Subnational Burden of Diseases, Injuries, and Risk Factors
Gretchen Stevens, Rodrigo Dias, Kevin J A Thomas … (2008)
Introduction Knowledge about the relative contributions of diseases, injuries, and their risk factors to the loss of healthy life is needed for priority setting and for evaluation of health programs. Most previous analyses of disease, injury, and risk factor burden have been at the national or global scale [1–6]. In many countries, health policies and programs are implemented and evaluated at the subnational level (e.g., at the state level). Therefore, subnational analyses and evidence are essential for debate, discourse, and cooperation among different levels of government on health policies and allocation of resources to health programs, as well as for understanding disparities in health across regions. There have been few subnational analyses of the burden of disease [7]; more subnational analyses of mortality are available [8,9]. Mexico has experienced several decades of rapid epidemiological and demographic change, making a combined national and subnational analysis of the burden of diseases, injuries, and their risk factors timely. Nationally, such an analysis can reveal the extent, and the nutritional and environmental determinants, of the epidemiological transition. In the epidemiological transition, the profile of population health evolves from one characterized by high mortality and infectious diseases (typical of poor countries) to one in which mortality rates are low and noncommunicable diseases cause the majority of deaths (typical of wealthy countries) [10–12]. A national analysis can contribute to the very limited systematic analysis of specific disease and risk factor drivers of the epidemiological transition. Extending the analysis to the subnational level can reveal epidemiological similarities, heterogeneities, and disparities, and their implications for targeting policies and programs. In Mexico, a subnational analysis can indicate whether regions are at different stages of the epidemiological transition (as previously observed [13,14]), and whether the transition has the same disease, injury, and risk factor drivers across regions. Such evidence is especially relevant because states are an important unit for resource allocation under Mexico's recent health system reform [15]. We estimated deaths and loss of healthy life years (measured in disability-adjusted life years [DALYs]) from a comprehensive list of diseases and injuries and from 16 risk factors in Mexico and its states for 2004. The findings enhance our understanding of the epidemiological transition because we incorporate specific diseases, injuries, and risk factors into the transition framework. In addition to the utility of our findings for Mexico, this analysis can provide a model, and illustrate data and information needs, for epidemiological assessments in other countries. Methods We calculated mortality and burden of disease from a comprehensive set of diseases and injuries and from selected risk factors in 2004 using the methods and data sources described below (Figure 1 provides a schematic overview of the analysis steps). All analyses were performed at the state level, by sex and age. For presentation, we grouped the 32 Mexican states into six geographic regions on the basis of per-capita income, total mortality, and a composite deprivation index (Figure S1, Table S1). The Northern and the Pacific Central regions are the most socially and economically developed and have relatively close cultural and economic links to the United States. The Southern region is the least developed and has significantly higher poverty and indigenous population than other regions. Mexico City is a highly urbanized, wealthy region with excellent infrastructure but with immigration from poor areas in the Central, Gulf, and Southern regions. Regional and national results were obtained by aggregating state-level results. Figure 1 Steps of the Analysis All calculations were carried out by age group, sex, and state. National and regional estimates of deaths, DALYs, and attributable disease burden were calculated as the sum of state estimates. Mortality and Causes of Death Total mortality rates. Although the great majority of deaths are recorded in Mexico, mortality underreporting is suspected in specific regions and among specific age groups. Misreporting of age at death, migration, or incomplete census coverage may also bias mortality rates calculated using vital registration data. To address these potential sources of bias, we adjusted total mortality by age, sex, and state. We applied the Trussell version of the Brass method [16] to the 1990, 2000, and 2005 census data on children-ever-born and children-dead to calculate the probability of dying before 5 y of age in each state. We calculated adjusted adult death rates using the General Growth Balance method [17,18]. We then interpolated age- and sex-specific mortality rates between mortality levels of the “West family” of Coale-Demeny life-tables [19]. Causes of death. In Mexico, all recorded deaths are medically certified and coded according to the International Classification of Disease (ICD) system (10th revision). The medical information available at the time of death and certification practices vary by region, leading to incomparable recorded cause of death data. We adjusted the observed cause-of-death distribution for assignment to ill-defined codes and for incomparability of cause-of-death assignment across states as follows (see Table S2 and Text S1 for details): (i) we redistributed deaths assigned to ill-defined ICD codes and to cancers with unknown sites following the Global Burden of Disease (GBD) study algorithms [20]. (ii) Cardiovascular deaths assigned to ill-defined cardiovascular codes versus ischemic heart disease were redistributed using individual-level records and variables that affect comparability of certification [21]. (iii) Deaths assigned to diabetes mellitus versus cardiovascular and other noncommunicable and communicable diseases were also redistributed using individual-level records and variables that affect comparability of certification [22]. (iv) We redistributed injury deaths assigned to several ill-defined codes for unintentional injuries pro rata to road traffic injuries, falls, drowning, and other unintentional injuries. (v) Finally, 3,329 deaths (less than 1% of all deaths) were assigned to codes for alcohol use disorders (a neuropsychiatric condition) as the underlying cause of death. Many of these deaths were assigned another disease (e.g., an injury, ischemic heart disease, or cirrhosis of the liver) as one of the multiple contributing causes of death. We judged that when another disease was included as a contributing cause of death, alcohol use was likely a more distal contributor to death (i.e., a risk factor). Therefore, we assigned these deaths to the corresponding associated cause. After adjusting the cause-of-death distribution, we grouped diseases into the exhaustive GBD list of 136 diseases. Disease-specific death rates. We estimated disease-specific death rates by applying the adjusted distribution of the causes of death to the adjusted total mortality figures (Table S3). Burden of Disease and Injury Burden of disease was measured in DALYs. DALYs are the sum of the years of life lost to premature death (YLL) and years lived with disability (YLD). Following the GBD study [2], we calculated DALYs using age weights and a discount rate of 3%; the effects of these two normative components of DALYs are examined in detail elsewhere [23]. We calculated YLL using age- and disease-specific deaths, and YLD using estimates of incidence and duration of nonfatal diseases for Mexico and for the low-mortality countries in the World Health Organization Region of the Americas (AMR-B), and disability weights for each disease from the GBD study [20]. The methods used to calculate DALYs for individual diseases and injuries from these inputs are described in Table S4, Text S2, and elsewhere [20]. Comparative Risk Assessment We used the comparative risk assessment methods, described in detail elsewhere [3,24], to estimate deaths and DALYs attributable to 16 selected risk factors. In summary, to calculate deaths and disease burden attributable to a risk factor, we first calculated the population attributable fraction (PAF) for each disease affected by each risk factor. PAF measures the proportional reduction in mortality or disease burden that would be observed if risk factor exposure were reduced to an alternative (counterfactual) distribution. Inputs to the PAF calculation are (i) current distribution of exposure to a risk factor, (ii) relative risks for each disease caused by the risk factor, and (iii) a counterfactual distribution of exposure to which current exposure is compared. We used a counterfactual exposure distribution that results in the lowest possible population risk, known as the theoretical-minimum-risk exposure distribution (Table S5). Using this counterfactual allows quantifying the effects of all levels of nonoptimal exposure in a consistent and comparable manner for all risk factors. When relative risks for death and incidence were different, we calculated separate PAFs for mortality/YLL and for YLD. Deaths, YLL, and YLD from each disease attributable to each risk factor were calculated by multiplying PAF by total mortality, YLL, or YLD from that disease. The attributable deaths and DALYs were summed across all diseases and injuries affected by each risk factor. We also calculated PAFs for combined exposure to selected groups of risk factors, using methods described in detail elsewhere [25]. We measured risk factor exposure using data from subnationally representative health examination surveys, the national census, and Mexican epidemiological studies (Table S5). For most risk factors, data on exposure came from the National Health and Nutrition Survey 2006 (ENSANut), which was administered to 94,710 individuals in 48,304 households and is representative at the state level [26]. This sample size is larger than health examination surveys in most developed countries, most of which are not representative at the state level. We primarily used relative risks from meta-analyses of epidemiological studies carried out world-wide (Table S5). Using meta-analyses reduces influence of bias and variability that may be present in individual epidemiological studies, especially the smaller studies. Cross-country epidemiological studies have demonstrated that relative risks for most risk factor effects are similar across populations [27], indicating that combining and applying international studies to Mexico is appropriate. However, we did not use relative risks from international meta-analyses for the effects of (i) alcohol use on injuries and (ii) unsafe sex on HIV/AIDS. For these risks and disease outcomes, the proportional increase in risk caused by exposure may be affected by local socio-demographic, epidemiologic, and policy factors (e.g., drinking and driving behaviors and law enforcement; the prevalence of HIV infection among individuals engaging in risky sex behaviors). For this reason, we used epidemiological studies from Mexico to quantify the effects of alcohol use on injuries (Table S5). To estimate the proportion of HIV/AIDS attributable to unsafe sex, we used data on probable transmission route recorded in the National HIV/AIDS Registry [28]. Results Mortality, Causes of Death, and Burden of Diseases and Injuries After adjusting for under- and over-registration of deaths relative to census counts, including corrections for age misreporting and underreporting of deaths, the total number of deaths over 5 y of age decreased by 2.7%; however, under-five deaths increased 41% nationally and by a factor of two or more in Chiapas, Guerrero, and Michoacán. Substantially larger underreporting of infant and child deaths than of adult deaths is consistent with previous studies [29–31]; the excess number of adult deaths relative to census counts may be caused by inclusion of deaths of Mexicans living abroad in the mortality data or by an undercount of the population in the national census. The annual child mortality rate was 5.0 per 1,000 children; 83% of 15-y-old males survive to age 60, compared to 91% of females. Estimated national life expectancy was 72.3 y for men and 77.8 y for women. Male life expectancy ranged from 70.6 y (similar to that of Guatemala) in the Southern region to 73.8 y in the Pacific Central region (similar to Chile). Female life expectancy ranged from 75.3 y in the Pacific Central region (similar to Ecuador) to 79.1 y in the central region (like the Czech Republic and only 1 y lower than female life expectancy in the US; Table S1). Despite its status as a middle-income country, total mortality in Mexico (and particularly in the Mexico City Metropolitan Area [MCMA]) was more similar to mortality in high-income countries than in other middle-income nations (Figure 2). Within Mexico, mortality was highest in the Southern region, where age-standardized death rates were 27% higher than in the MCMA. Under-five mortality varied substantially more across regions than total mortality (Figure 3), with under-five mortality in the Southern region (7.0 per 1,000 children) more than twice that of the Pacific Central region (3.1 per 1,000). Under-five mortality in the Southern region was higher than the average in all lower-middle income countries, whereas in other regions it was similar to, or lower than, the upper-middle income countries. Figure 2 Age-Standardized Mortality Rates (A) and Burden of Disease Rates (B) for Mexico and Its Regions, Divided by Disease Category For comparison, the figure also shows mortality rates for all high-income and low-and-middle-income countries [52]. All rates are standardized to the 2000 national population of Mexico. Regions used to present results are: Northern: Baja California, Baja California Sur, Coahuila, Chihuahua, Nuevo León, Sonora, Tamaulipas; Pacific Central: Aguascalientes, Colima, Jalisco; Central: Durango, Guanajuato, Michoacán, Morelos, Nayarit, Querétaro, San Luis Potosí, Sinaloa, Tlaxcala, Zacatecas, and parts of Mexico State not in the Mexico City region; Mexico City: Distrito Federal and parts of Mexico State in the contiguous urban area; Gulf: Campeche, Quintana Roo, Tabasco, Veracruz, Yucatán; Southern: Chiapas, Guerrero, Hidalgo, Oaxaca, and Puebla (Table S1). Key: Ca, cancers; Cir, liver cirrhosis; Com, communicable; CVD, cardiovascular; DM, diabetes; Inj, injuries; Mat, maternal, perinatal, and nutritional; NCom, other noncommunicable; NP, neuropsychiatric. Figure 3 National and Regional Under-Five Mortality Rates, Divided by Disease Category For comparison, the figure also shows the rates for all high-income, upper- and lower-middle-income, and low-income countries [52]. Key: Com, other communicable; Diar, diarrhea; Inj, injuries; NCom, other noncommunicable; Perinatal, perinatal; Resp, respiratory infections. Nationally, 75% of total deaths were from noncommunicable (group II) diseases. The leading causes of death were a number of group II diseases, including ischemic heart disease, diabetes, cerebrovascular disease, and cirrhosis of the liver, as well as road traffic injuries and lower respiratory infections (Table 1). After adjustment for inconsistent cause of death assignment, 9.7% of deaths were caused by diabetes, with particularly high mortality in the MCMA and Pacific Central regions (4.9 per 10,000; all disease rates are age-standardized to Mexico's population in 2000; Figure 2). Liver cirrhosis mortality was high throughout Mexico, but there were variations across regions, with mortality in the Southern and Gulf regions nearly twice the Northern region and the MCMA (3.7 and 3.2 per 10,000 MCMA versus 1.7 and 2.1 per 10,000). Cirrhosis mortality among men was nearly four times that of women (4.0 per 10,000 versus 1.1 per 10,000). Among males in the Southern and Gulf regions (the most highly affected groups), liver cirrhosis caused 11.9% and 11.2% of deaths, respectively. Table 1 Leading Causes of Death and Disability in Mexico (2004), by Disease and Risk Factor Communicable, maternal, perinatal, and nutritional (group I) diseases were the underlying cause of 14% of deaths nationally. The death rate from group I diseases in the Southern region (8.7 per 10,000) was nearly twice those in the Pacific Central region and the MCMA (5.1 and 5.2 per 10,000). Regional disparities were even greater for pneumonia and diarrhea mortality among children; under-five mortality from these two diseases in the Pacific Central region was 2.5 per 10,000, more similar to high-income countries (0.25 per 10,000) than other upper-middle-income countries (7.8 per 10,000); rates in the Southern region were 13.7 per 10,000, a figure typical of lower-middle-income countries (Figure 3). Group II diseases accounted for 68% of DALYs nationally and many noncommunicable diseases were among the leading causes of disease burden (Table 1). At the same time, there were more group I diseases and injuries (group III) among the leading causes of disease burden than among deaths. This occurred because group I diseases disproportionately affect children, and injuries mainly affect young adults, both resulting in relatively large YLLs compared to noncommunicable diseases. Among group II diseases, a large burden was associated with neuropsychiatric conditions, to which few deaths are directly assigned. This occurred partly because these diseases are most common among young and middle-aged adults, who form a large proportion of Mexico's population. In every region and state, noncommunicable diseases caused the majority of DALYs, ranging from 63% in the Southern region to 72% in the MCMA and Pacific Central regions. Although the proportion of disease burden from group II diseases was lowest in the Southern region, their absolute effect, measured as DALYs per 1,000 population, was highest there (104 per 1,000 versus 96–98 per 1,000 in other regions; Figure 2). With the exception of liver cirrhosis, there was little variability in group II DALY rates among the other regions. Cirrhosis burden of disease showed the same regional and sex patterns as cirrhosis mortality. A comparison of the leading causes of disease burden by region shows the regional disparities in maternal and child diseases: in the Southern region, birth asphyxia and lower respiratory infections were the first and third leading causes of disease burden, respectively, with about twice as many DALYs per 1,000 population as the national average. Uniquely, diarrhea was also one of the ten leading causes of disease burden in Chiapas, the poorest state in Mexico. The rate of road traffic deaths was lowest in the MCMA, a highly motorized region (2.9 per 100,000 versus 4.1 per 100,000 nationally), and was also low in a highly motorized, wealthy state (Nuevo León; 3.1 per 100,000). Despite their high rates of motorization, road traffic mortality may be low in these areas due to several factors, including quality of emergency care and lower pedestrian exposure to traffic [32]. Among other states, the lowest rate of road traffic deaths was in Chiapas (1.8 per 100,000), likely due to fewer roads and cars, and thus low exposure to vehicular traffic. Homicide was among the six leading causes of disease burden in every region except the Gulf region. Homicide death rates were generally higher along the Pacific coast of Mexico (3.6–7.2 per 100,000 versus 2.1 per 100,000 nationally), and particularly in Guerrero. These were followed by the MCMA and states in the Northwest of Mexico. Comparative Risk Assessment Nationally, and in every state and region, risk factors for noncommunicable diseases contributed the most to the burden of disease (Figure 4, Table 1). Jointly, alcohol use, high blood pressure, high body mass index (BMI), high cholesterol, low fruit and vegetable intake, physical inactivity, tobacco smoking, and high blood glucose accounted for an estimated 36% of deaths and 16% of disease burden. Among these risks, alcohol use, high blood glucose, and high BMI were responsible for the largest disease burden (Table 1), in aggregate as well as in young and middle-aged adults (15–60 y). Fasting blood glucose levels (age-standardized mean of 5.5 mmol/l for men and 5.6 mmol/l for women) and BMI (27.6 kg/m2 for men and 29.1 kg/m2 for women) in Mexico were among the highest observed worldwide [33,34]. The disease burden attributable to alcohol use was largely due to its effects on alcohol use disorders, injuries, and liver cirrhosis, all three of which contributed approximately equally to total burden caused by alcohol use. Figure 4 Mortality (A) and Burden of Disease (B) Attributable to Leading Risk Factors in Four Mexican Regions, Divided by Disease Category The rates in this figure were not age-standardized. Therefore, the observed regional variation in attributable mortality and burden of disease is partly due to regional variation in age structure. Key: Ca, cancers; Cir, liver cirrhosis; Com, communicable; CVD, cardiovascular; DM, diabetes; Inj, injuries; Mat, maternal, perinatal, and nutritional; NCom, other noncommunicable. Mortality and burden of disease caused by high blood cholesterol and tobacco smoking were relatively low in comparison to those associated with high BMI, blood glucose, and blood pressure (Table 1). This was due to lower measured exposure to these risks: mean blood cholesterol in the 2006 ENSANut, used for this analysis, was 4.4 mmol/l for men, 4.5 mmol/l for women, low by international standards and also lower than was found in prior nationally representative surveys in 1987–1988 and 2000 [35,36]. Using mean blood cholesterol measured in 2000 [36] would double deaths attributable to high blood cholesterol, and make this risk factor the fifth leading cause of death. The differences in mean blood cholesterol measured in the various recent national surveys should be investigated. Although smoking prevalence in Mexico is similar to that of many high-income countries, especially for men (36% for men and 13% for women), nearly half of smokers do not smoke daily, and most of the remainder smoke fewer than five cigarettes per day [37]. Low smoking intensity can also be seen in consumption figures: despite having a slightly higher prevalence of smoking than the US, Mexican adults consumed an average of 712 cigarettes per year, compared to 2,081 in the US [38]. Our method for quantifying exposure to tobacco smoking (Table S5) accounts for this lower intensity in the estimated effects. Regionally, the largest proportional effects of tobacco smoking on mortality and burden of disease were in the wealthiest regions, in particular the Northern region, where it was responsible for 9% of deaths (Figure 4). In contrast, mortality and burden of disease caused by alcohol use were negatively correlated with economic development, and were highest in the Southern region, followed by the Central region. Regional patterns of deaths associated with alcohol use were caused primarily by differences in liver cirrhosis rates, and were less affected by the effects of alcohol use on other disease and injury outcomes. Nationally, the burden of disease attributable to risk factors that affect child mortality, including child and maternal underweight and micronutrient deficiencies, unsafe water and sanitation, and indoor air pollution from solid fuels, were relatively small. These risks together were responsible for 2.3% of all deaths and 2.7% of disease burden (10.1% of deaths and 8.9% of DALYs under 5 y of age). There were however important regional patterns and disparities in the proportional and absolute effects of these risks: in the Northern region, where exposure to these risk factors was low, together they were responsible for less than 2% of under-five deaths (Figure 5). It is likely that in this region, medical interventions such as improved neonatal care are needed to further reduce infant mortality rates to levels observed in high-income countries. In contrast, the same risk factors were together responsible for 16% of under-five deaths in the Southern region. The Southern region also had a higher under-five mortality rate, likely caused by risk factor exposures and less access to case management. This created a highly unequal regional gradient in the absolute effects of these risks. The South-to-North ratio of rates of under-five mortality attributable to risk factors in this study ranged from 3.3 for vitamin A deficiency, with a well-established national supplementation program, to 18 for indoor air pollution from solid fuels. Unlike in other states, in Chiapas the burden of disease attributable to childhood and maternal underweight (4.9 DALYs per 1,000 population) was nearly as large as that of high blood glucose and high BMI (5.1 and 5.0 DALYs per 1,000). Figure 5 Under-Five Mortality Attributable to Leading Risk Factors in Four Mexican Regions, Divided by Disease Category Key: Comm, other communicable; Diar, diarrhea; Inj, injuries; NCom, other noncommunicable; Perinatal, perinatal; Resp, respiratory infections. Discussion In this paper, we used detailed, consistent, and comparable data and analyses to establish the role of diseases, injuries, and their risk factors in the loss of health in Mexico, and identified patterns by age, sex, and region. This analysis demonstrated that the national burden of disease in Mexico is dominated by noncommunicable diseases and their risk factors, consistent with the epidemiological and nutritional transition framework [10–12,39]. Further, the analysis revealed important disease and risk factor patterns that distinguish Mexico from high-income countries at broadly similar stages of the epidemiological transition: the liver cirrhosis and diabetes mortality in Mexico were substantially higher than in high-income countries, but those of other noncommunicable diseases, such as cardiovascular diseases, were comparable. Mirroring these disease patterns, the highest mortality and burden of disease were caused by the high blood glucose, high BMI, and alcohol use risk factors, with lower burden of disease attributable to tobacco smoking, which was primarily due to lower exposure to tobacco. This finding of the highest mortality and disease burden shows the need for further research on the role of genetic, dietary, and other environmental and health system factors as determinants of high blood glucose and high BMI in Mexico. The availability of high quality vital registration and household and health surveys in Mexico, much of which is representative at the state level, permitted in-depth national and subnational analysis. These subnational findings allowed for identification and quantification of state and regional priorities and health disparities, and their disease, injury, and risk factor causes. Beyond its applications to priority setting and program design and evaluation in Mexico, this analysis indicates that collecting mortality, disease, and risk factor data at the subnational level and at a moderately high frequency allows for analyses like ours, which capture and characterize major epidemiological patterns and their geographic distributions. However, Mexico is exceptional in terms of availability of high-quality health and health examination data among developing and even developed countries. Even in Mexico, data on exposure to some risk factors are available only at the regional or national level, and there are few sources on incidence of nonfatal sequelae. A balance between the utility and cost of subnational data may be having larger subnational surveys with self-reported indicators, which are calibrated against direct measurement for a subset of participants [40,41]. This study has several limitations. First, while we used high-quality mortality and risk factor data, substantially less data were available to estimate disease incidence and duration, which are used to calculate the disability associated with nonfatal outcomes (i.e., YLDs). This is a relatively common, although not universal, phenomenon [20], because deaths are routinely recoded as a part of countries' vital registration, but disease incidence or duration are rarely recorded directly. These epidemiological parameters may be recorded in small, nonrepresentative studies. As a result of these data limitations, for most diseases we relied partially or entirely on regional incidence rates from the GBD study, which incorporated data sources from Mexico as well as other countries, rather than relying exclusively on Mexican data. Future research should compare the implications of using multiple data sources from a larger geographic area with disease modeling, versus using fewer local studies to calculate disease incidences. Second, we analyzed only selected risks to health in the comparative risk assessment. Hundreds of risk exposures are potentially harmful to human health; considering an exhaustive set of exposures was out of the scope of this analysis. Potentially important omitted risks for Mexico include specific dietary factors. Estimating the population effects of dietary risks is constrained by difficulties in measuring exposure, both for absolute intake and composition [42]. Given the importance diseases associated with high BMI and blood glucose, further analysis of dietary patterns and risk factors should be a research priority in Mexico. Third, data on fasting blood glucose was only available for a nonrepresentative subset of the Mexican population, and therefore we used regression analysis to predict fasting blood glucose for the general population (Table S5). Our relatively high estimates of fasting blood glucose are consistent with findings in a nonrepresentative survey of rural Mexicans and with the high diabetes death rates [43]. Finally, relative risks for most risk factors were from large international meta-analyses, complemented with Mexican sources (Table S5). Relative risks, which quantify the proportional relationship between exposure and outcome, have been shown to be consistent across populations for most risk factors and diseases [27]; yet further analyses of heterogeneity, especially for relationships such as high BMI and diabetes or alcohol use and liver cirrhosis would reduce the uncertainty of our results. For injuries as a result of alcohol use, despite using epidemiological evidence from Mexico, uncertainty remains because this association may vary even among different parts of the same country. A prior analysis of burden of disease in Mexico for 1991 found that Mexico faced a triple burden of disease, with injuries (violence and road traffic injuries), infectious disease (lower respiratory infections and diarrhea), and noncommunicable diseases (cirrhosis of the liver) all among the leading five causes of disease burden [1]. In our analysis, perinatal conditions continued to be a leading cause of DALYs. Lower respiratory infections remained among the leading causes of disease burden in 2004 but shifted from the sixth to the tenth leading cause of DALYs. Noncommunicable diseases, particularly neuropsychiatric conditions, diabetes, and cardiovascular diseases, made up the majority of the leading causes of loss of healthy life. Injuries, particularly road traffic injuries, remained important causes of loss of healthy life, but both their share of burden and their absolute rates have decreased since 1991. While these analyses are not directly comparable because of differences in methods, data sources, and disease categories used, they do illustrate that the health challenges that Mexico faces have transitioned toward predominantly noncommunicable diseases. Coupled with these national results, our analysis demonstrated subnational patterns of diseases and risk factors, with implications for health policies and programs and for health equity. Subnational analyses showed a strong regional and sex pattern of liver cirrhosis mortality, and of the burden of disease attributable to alcohol use, with the highest burden in the most marginalized areas (the Southern, Central, and Gulf regions). The extremely high liver cirrhosis rates found in some parts of the country cannot be explained by the quantity of alcohol consumed (which is lower in Mexico than in the US or most European nations) [44]; rather they may be related instead to beverage type, pattern of consumption, or quality of alcohol, as hypothesized in a number of studies [45,46]. Ecologic analyses have found a strong correlation between pulque (a traditional fermented alcoholic beverage) and spirits consumption and liver cirrhosis rates in Mexico [47,48]. Other possible factors may include past hepatitis infection (though recent surveys have found moderate seroprevalence of hepatitis B [49] and hepatitis C [50]) or dietary and metabolic factors [51]; some cause-of-death misclassification cannot be ruled out. Of these factors, only alcohol use explains the higher cirrhosis mortality among men. The national finding in which noncommunicable diseases and their risks represent the largest share of disease burden also masks the large proportional and absolute effects of risk factors that affect under-five mortality in the Southern region. The epidemiological transition, in terms of the proportion of deaths caused by maternal and infectious diseases, is least advanced in the Southern region, which is still plagued by high under-five mortality rates and a substantial number of preventable under-five deaths. At the same time, the absolute rates of noncommunicable diseases and injuries were highest in the Southern region. The large absolute burden from all three disease groups, including a younger age of death from many noncommunicable diseases, demonstrates the overall worse health status in this region. A similar pattern was observed in a subnational analysis of mortality in South Africa, where under-five mortality rates were negatively correlated with the level of development, but age-standardized noncommunicable disease rates were similar across all regions [8]. These findings highlight that the increase in the proportion of deaths caused by noncommunicable diseases during the epidemiological transition is a result of a rapid decrease in communicable and maternal causes of death and an aging population. In fact, total age-specific noncommunicable mortality rates also fall during the epidemiological transition. As the epidemiological transition progresses nationally, high child mortality may remain in less developed regions, as observed in our analysis in Mexico and in South Africa [8]. Injuries and specific noncommunicable causes of death may lag or even decouple from overall group trends due to exposure to specific risk factors, as is the case for diabetes and liver cirrhosis in Mexico. An analysis such as ours can identify such specific details of epidemiological change, and hence provide evidence on which risk factors should be priorities for policy intervention. Supporting Information Figure S1 Regions Used for Presentation of Results (1.2 MB DOC) Click here for additional data file. Table S1 Selected Economic and Health Indicators for Each State and Region (112 KB DOC) Click here for additional data file. Table S2 Adjustments Made to the Recorded Cause-of-Death Distribution (45 KB DOC) Click here for additional data file. Table S3 Deaths in 2004 by Selected Cause, Prior to Adjustment, after Correction for Coding Comparability Only, and after Correction for Coding Comparability, Underreporting, Age Misreporting, and Migration (52 KB DOC) Click here for additional data file. Table S4 Methods Used to Impute Incidence Rates for Mexican States Using Mexican Mortality Data and Incidence Rates for Mexico and for Latin America (the AMR-B Region) (43 KB DOC) Click here for additional data file. Table S5 Risk Factors Considered in This Analysis, Their Exposure Variables, Theoretical-Minimum-Risk Exposure Distributions, Disease Outcomes, and Data Sources for Relative Risks and Exposure (121 KB DOC) Click here for additional data file. Text S1 Mortality and Causes of Death (35 KB DOC) Click here for additional data file. Text S2 Disability-Adjusted Life Years (42 KB DOC) Click here for additional data file.
- Record: found
- Abstract: found
- Article: not found
Dissonant health transition in the states of Mexico, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.
Child and maternal health outcomes have notably improved in Mexico since 1990, whereas rising adult mortality rates defy traditional epidemiological transition models in which decreased death rates occur across all ages. These trends suggest Mexico is experiencing a more complex, dissonant health transition than historically observed. Enduring inequalities between states further emphasise the need for more detailed health assessments over time. The Global Burden of Diseases, Injuries, and Risk Factors Study 2013 (GBD 2013) provides the comprehensive, comparable framework through which such national and subnational analyses can occur. This study offers a state-level quantification of disease burden and risk factor attribution in Mexico for the first time.
Author and article information
Journal
Journal ID (nlm-ta): Health Policy Plan
Journal ID (iso-abbrev): Health Policy Plan
Journal ID (publisher-id): heapol
Title:
Health Policy and Planning
Publisher:
Oxford University Press
ISSN
(Print):
0268-1080
ISSN
(Electronic):
1460-2237
Publication date
(Print):
July
2018
Publication date
(Electronic):
25
April
2018
Publication date PMC-release: 25
April
2018
Volume: 33
Issue: 6
Pages: 707-714
Affiliations
Author notes
Corresponding author. Compañeros En Salud/Partners In Health Mexico, Calle Primera
Poniente Sur No. 25, Ángel Albino Corzo, 30370 Chiapas, Mexico. E-mail:
kevin.duan@
123456ucsf.edu
Author information
Kevin Duan
http://orcid.org/0000-0002-8542-6611
Article
Publisher ID: czy041DOI: 10.1093/heapol/czy041
PMC ID: 6005046
PubMed ID: 29697772
SO-VID: b3c9b906-dc6f-42f4-9ecd-1a4a98cff614
Copyright © © The Author(s) 2018. Published by Oxford University Press in association with The
London School of Hygiene and Tropical Medicine.
License:
This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
History
Date
accepted
: 28
March
2018
Page count
Pages: 8
Categories
Subject:
Original Articles
ScienceOpen disciplines: Social policy & Welfare
Data availability:
ScienceOpen disciplines: Social policy & Welfare