| Literature DB >> 26759964 |
Ana Marli Christovam Sartori1, Andréia de Fátima Nascimento2, Tânia Yuka Yuba3, Patrícia Coelho de Soárez3, Hillegonda Maria Dutilh Novaes3.
Abstract
OBJECTIVE: To describe methods and challenges faced in the health impact assessment of vaccination programs, focusing on the pneumococcal conjugate and rotavirus vaccines in Latin America and the Caribbean.Entities:
Mesh:
Substances:
Year: 2016 PMID: 26759964 PMCID: PMC4687821 DOI: 10.1590/S0034-8910.2015049006058
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Pneumococcal conjugate and rotavirus vaccine introduction status and the health impact assessment of the vaccination program in the countries of Latin America and the Caribbean.
| Country | Vaccine introduction status or year of introductiona | Health impact assessment of the vaccination program | ||
|---|---|---|---|---|
|
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| Pneumococcal | Rotavirus | Pneumococcal | Rotavirus | |
| Latin America | ||||
| Argentina | 2012 | No decision | ||
| Belize | Planning introduction | No decision | ||
| Bolivia | 2014 | 2008 | 11 | |
| Brazil | 2010 | 2006 | 1,50 | 2,8,9,10,13,17,21,22,29,33,39,45,48 |
| Chile | 2011 | No decision | ||
| Colombia | 2011 | 2009 | 38 | |
| Costa Rica | 2008 | Planning introduction | ||
| Ecuador | 2010 | 2007 | ||
| El Salvador | 2010 | 2006 | 11,59 | |
| Guatemala | 2012 | 2010 | ||
| Guyana | 2011 | 2010 | ||
| Honduras | 2011 | 2009 | 11 | |
| Mexico | 2009 | 2007 | 14,15,20,30,43,44 | |
| Nicaragua | 2010 | 2006 | 7 | 37 |
| Panama | 2010 | 2006 | 35 | 6,32,34 |
| Paraguay | 2012 | 2010 | ||
| Peru | 2009 | 2009 | ||
| Suriname | No decision | No decision | ||
| Uruguay | 2008 | No decision | 25,26,41,42 | |
| Venezuela | No decision | 2006 | 11 | |
| The Caribbeanb | ||||
| Bahamas | GAVI approved | GAVI plan | ||
| Barbados | 2009 | No decision | ||
| Cayman Islands | 2009 | |||
| Cuba | Planning introduction | No decision | ||
| Dominica | 2010 | No decision | ||
| Dominican Republic | 2009 | 2012 | ||
| Haiti | GAVI approved | 2013 | ||
| Jamaica | 2010 | No decision | ||
| Trinidad and Tobago | 2009 | No decision | ||
a Source: International Vaccine Access Center – Vaccine Information Management System Report: Global Vaccine Introduction, March 2014.27
b Caribbean countries that have not introduced pneumococcal nor rotavirus vaccines in their national immunization programs: Anguilla, Aruba, Antigua and Barbuda, French Guyana, Guadeloupe, Grenada, Martinique, Montserrat, Netherlands Antilles, Puerto Rico, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Turks and Caicos Islands, Virgin Islands (UK and USA).
Methodological characteristics of health impact assessments of rotavirus vaccination programs conducted in Latin American and Caribbean countries, based on secondary data (vital statistics, health services utilization or surveillance data).
| Author/Year | Country | Study design/Methodological comments | Data source | Clinical syndrome | Outcome | Main results |
|---|---|---|---|---|---|---|
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| Secondary data | ||||||
| De Oliveira11 (2013) | Bolivia, El Salvador, Honduras, and Venezuela | Ecological (interrupted time-series analysis) Control: Argentina, which still had not introduced the vaccine into its national immunization program during the study period | Databases of the sentinel surveillance network of rotavirus diarrhea and records on hospitalizations and deaths from the ministries of health | All-cause diarrhea | Number of deaths and hospitalizations | Reductions in diarrhea-related deaths and hospitalization in all four countries as opposed to the control country |
| Rissardo45 (2010) | Brazil (Parana state) | Ecological (comparison of years before and after vaccine introduction) Limitations: short observation period after vaccine introduction; lack of adjustment for secular trends | National health information system on hospitalizations | All-cause diarrhea | Number and rates of hospitalizations | Significant decrease of diarrhea-related hospitalizations observed in children under one year of age after vaccine introduction. No impact evidenced among children aged one to four years |
| Do Carmo9 (2011) | Brazil | Ecological (interrupted time-series analysis, comparing event rates after vaccine introduction with expected rates estimated from prevaccine years) Adjustment for secular and seasonal trends | National mortality information system; national hospital information system, which covers the public health system | All-cause diarrhea | Mortality and hospitalization rates | Decreased rates of under-five diarrhea-related mortality and hospital admissions in the first three years after vaccine introduction, with largest reduction among children under two years of age |
| Lanzieri29 (2011) | Brazil | Ecological (comparison of years before and after vaccine introduction) Limitations: lack of adjustment for secular trends | Mortality information system; live birth information system | All-cause diarrhea | Mortality rates | Decreasing rates of diarrhea-related deaths previous to vaccine introduction |
| Gurgel22 (2011) | Brazil | Ecological (comparison of trends before and after vaccine introduction) Limitations: lack of adjustment for secular trends | National hospital information system (public health system) | All-cause diarrhea | Hospitalizations and deaths | Reduction in hospitalizations preceded the vaccine introduction |
| Fernandes17 (2014) | Brazil (Sao Paulo state) | Ecological (comparison of years before and after vaccine introduction) | National health information system (public health system) | All-cause diarrhea | Hospitalization rates by the human development index of each municipality and diarrhea-related hospitalization costs | Decreased rates of hospitalizations among under-five children in all categories of municipal development, with greater decrease in the least developed areas. Seasonal blunting in diarrhea hospitalizations. Savings in hospitalization costs in all municipal categories |
| Esparza-Aguilar14 (2009) | Mexico | Ecological (comparison of years before and after vaccine introduction) | National health information systems on mortality and population | All-cause diarrhea | Number of deaths and cumulative death rates | Decrease in diarrhea-related deaths previous to vaccine introduction. Greater mean annual reduction after vaccine introduction |
| Richardson44 (2010) | Mexico | Ecological (comparison of years before and after vaccine introduction) | National health information system on mortality and population | All-cause diarrhea | Deaths | Decline in diarrhea-related deaths after vaccination |
| Quintanar-Solares43 (2011) | Mexico | Ecological (comparison of years before and after vaccine introduction) Control: all-cause hospitalization | National health information system | All-cause diarrhea | Number of hospital admissions | Reduction in diarrhea-related hospitalizations only among children under 12 months of age in the first year after vaccine introduction, and among children under 24 months of age in the second year |
| Gastañaduy20 (2013) | Mexico | Ecological (comparison of years before and after vaccine introduction) | National health informatics system Data were classified into three regions, according to indicators of economic development | All-cause diarrhea | Deaths according to regional human development index | Reduction in diarrhea-related mortality sustained for four years after vaccine introduction. Comparable declines across the three regions of different levels of development |
| Esparza-Aguilar15 (2014) | Mexico | Ecological (comparison of years before and after vaccine introduction) Control: all-cause hospitalization | National health informatics system | All-cause diarrhea | Hospitalization rates according to the human development index of the state | Reduction in diarrhea-related hospitalizations of children under 24 months of age in all regions after vaccine introduction. Clear blunting of seasonal peaks |
| Nieto Guevara34 (2008) | Panama | Cross-sectional study (comparison of years before and after vaccine introduction) Limitations: short observation period | Statistics and medical records service database of one tertiary hospital | All-cause diarrhea | Number of hospitalizations; length of stay | No decrease in hospitalizations observed after vaccine introduction |
| Bayard6 (2012) | Panama | Ecological (comparison of years before and after vaccine introduction) Control: mean number of events in a prevaccination five-year period Limitations: short observation period | National mortality information system; hospital discharge database of five sentinel hospitals | All-cause diarrhea of presumed infectious origin | Mortality and hospital admissions | Decrease in diarrhea-related mortality and hospitalization rates after vaccine introduction |
| Yen59 (2011) | El Salvador | Ecological (comparison of years before and after vaccine introduction) Limitations: data on catchment population for the sentinel hospitals unavailable | Sentinel surveillance system (seven hospitals); national surveillance for diarrhea-related healthcare visits (inpatient and outpatient) in public healthcare facilities | All-cause diarrhea and rotavirus-positive diarrhea | Hospitalization rates and healthcare visits | Decreases in both hospitalizations and healthcare visits due to diarrhea |
| Orozco37 (2009) | Nicaragua | Ecological (comparison of years before and after vaccine introduction) Control: median number of events in a prevaccination four-year period. Limitations: Short observation period | National population-based surveillance for acute gastroenteritis events in healthcare facilities (Ministry of Health) | All-cause diarrhea | Number of outpatient visits and hospitalizations | Decreases in diarrhea-related hospitalizations and medical visits |
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| Surveillance data | ||||||
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| Molto32 (2011) | Panama | Ecological (monthly trend analysis – comparison of years before and after vaccine introduction) Control: all-cause hospitalizations Limitations: unknown catchment population for the sentinel sites | National surveillance for diarrhea (six hospitals) | All-cause diarrhea | Hospitalizations | Reduction in diarrhea-related hospitalizations. Greater reduction during rotavirus seasonal months. All regions showed reduction in the ratio of diarrhea-related to non-diarrhea hospitalizations in the second year after vaccine introduction |
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| Laboratory-based surveillance data | ||||||
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| Morillo33 (2010) | Brazil (Sao Paulo state) | Descriptive. Retrospective analyses of data collected in a five-year period, including two years before and two years after vaccine introduction | Laboratory-based data from diarrhea surveillance | Rotavirus-positive diarrhea | Proportion of rotavirus and rotavirus genotype distribution | Decrease in the proportion of rotavirus-positive samples before vaccine introduction. Emergence of the G2P[4] genotype after vaccine introduction |
| Carvalho-Costa10 (2011) | Brazil | Ecological | Laboratory-based surveillance: data from regional rotavirus reference laboratories in 18 of the 27 Brazilian federated units | Rotavirus-positive diarrhea, genotype characterization | Frequency of rotavirus and genotype distribution | Reduction in the proportion of rotavirus-related diarrhea in the years after vaccine introduction. Emergence of the G2P[4] genotype in the year before vaccination, with decrease in its detection in the last year of observation, probably reflecting natural genotype oscillations |
| Pereira39 (2011) | Brazil (Parana state) | Descriptive | Laboratory-based data from one tertiary hospital | Rotavirus-positive diarrhea | Proportion of rotavirus-positive samples | Decline in the proportion of rotavirus-positive cases two years before vaccine implementation |
| Dulgheroff13 (2012) | Brazil (Minas Gerais state) | Descriptive. Data from a four-year period after vaccine introduction were compared with prevaccination data from other studies conducted in the same region | Data from two laboratories that collect and analyze specimens from private and public hospitals and pediatric clinics from the region | Rotavirus-positive diarrhea and rotavirus genotype characterization | Proportion of rotavirus among hospitalized and outpatient acute gastroenteritis cases | Reduction in rotavirus-related diarrhea in comparison with prevaccination studies. Great reduction in genotype diversity with predominance of G2P[4] |
Methodological characteristics of health impact assessments of rotavirus vaccination programs conducted in Latin American and Caribbean countries, based on primary data collection.
| Author/Year | Country | Study design | Data source | Clinical syndrome | Outcome | Main results |
|---|---|---|---|---|---|---|
| Primary data | ||||||
|
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| Gouvea21 (2009) | Brazil (Rio de Janeiro, RJ) | Hospital-based survey including three years and a half before and one year after vaccine introduction | Primary data collection at the emergency room of one hospital. Data gathered from medical bulletins and patient records. Vital statistics obtained from the Brazilian Ministry of Health | All-cause diarrhea and laboratory-confirmed rotavirus diarrhea | Number of emergency room visits, hospitalizations and deaths, and genotype distribution | The study was unable to clearly show the impact of vaccination. Gastroenteritis visits and hospitalizations showed significant year-to-year variation. A gradual decrease in rotavirus strain diversity was observed in the prevaccination years |
| Safadi48 (2010) | Brazil (Sao Paulo, SP) | Prospective cohort including years before and after vaccine introduction | Prospective primary data collection in a private hospital, with routine rotavirus testing for all under-five children hospitalized for acute gastroenteritis | All-cause diarrhea and rotavirus-positive diarrhea | Number of hospitalizations and genotype characterization | Reduction in the number of all-cause and rotavirus-related diarrhea hospitalizations; delay in the rotavirus seasonal peak; and predominance of G2P[4] genotype in the postvaccination period |
| Borges8 (2011) | Brazil (Goiania, GO) | Cross-sectional. Data collection restricted to the postvaccination period was compared with prevaccination studies conducted in the same region Limitations: small sample size, data collection in a period shorter than 1 year | Primary data collection in seven day care centers. Children were enrolled independent of gastrointestinal symptoms | Rotavirus-positive diarrhea, genotype characterization | Proportion of rotavirus-positive samples | Presence of rotavirus in 3.6% of all samples and 10.4% of samples from children with diarrhea were rotavirus-positive, which is less than what was previously observed by other studies in the region (14.4%-37.2%). G2P[4] was the predominant circulating genotype |
| Assis2 (2013) | Brazil (Juiz de Fora, MG) | Cross-sectional, including pre- and postvaccination years. Limitations: small sample size, compromising genotype distribution analyses. Data cannot be generalized to the entire Country | A university virology laboratory | Rotavirus-positive diarrhea | Frequency of rotavirus-diarrhea and genotype characterization | Decrease in the proportion of rotavirus-positive diarrhea after vaccine introduction. The G1P[6] genotype was most frequent before vaccine introduction and replaced by the G2P[4] genotype in the year of vaccine introduction and after |
| Leboreiro30 (2013) | Mexico | Case series. Retrospective (pre-vaccination) and prospective (post-vaccine introduction) analysis of a case series | Hospital medical records of children treated in one hospital, including the emergency room and hospital wards | All-cause diarrhea and rotavirus-positive diarrhea | Frequency and severity of diarrhea | Reduction in rotavirus-related diarrhea; reduction in rotavirus diarrhea severity among vaccinated children |
Methodological characteristics of health impact assessments of pneumococcal conjugate vaccination programs conducted in Latin American and Caribbean countries.
| Author/Year | Country | Study design | Data source | Clinical syndrome | Outcome | Main results |
|---|---|---|---|---|---|---|
| Secondary data | ||||||
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| Afonso1 (2013) | Brazil (five capitals) | Ecological (interrupted time-series analysis) Control: non-respiratory causes Limitations: short observation period after vaccine introduction (one year) | National hospitalization information system (public health system). Data from five capitals that had good data quality and high PCV-10 vaccination coverage | All-cause pneumonia | Hospitalization rates among children aged two months to two years | Significant declines in the hospitalization rates for pneumonia in three capitals (Belo Horizonte, Curitiba and Recife), but not in the other two (Sao Paulo and Porto Alegre). Prevaccination hospitalization rates for pneumonia varied substantially by city. Hospitalization rates for non-respiratory causes also decreased in all cities, but at a lower rate |
| Nieto Guevara35 (2013) | Panama | Descriptive (retrospective), comparing a three-year period including pre- and postvaccination years. Involved indigenous population. Limitations: results cannot be generalized | Medical records of a secondary-level referral hospital, based on discharge diagnosis of pneumonia given by the treating physician and coded according to ICD | All-cause pneumonia | Hospitalization rates and transfers to the regional hospital among under-five children | Reduction in hospitalization rates and referrals for pneumonia were observed after vaccine introduction. Results cannot be generalized |
| Pírez41 (2011) | Uruguay | Descriptive (retrospective), comparing a three-year period before vaccine introduction with a one-year period after | A national tertiary referral pediatric hospital database, complemented by medical records, laboratory databases and reports from the national information system on notifiable diseases | All-cause pneumonia, pneumococcal pneumonia, pneumococcal meningitis | Hospitalization rates among children aged one month to 14 years | Reduction in hospitalization rates for pneumococcal pneumonia and pneumococcal meningitis after PCV-7 introduction. Non-vaccine serotypes 1, 5, 7F, 19A, and 24F became the most frequent causes of pneumococcal pneumonia after vaccine introduction. There were changes in the national hospital admissions aimed to decrease hospitalizations during the study. These changes did not affect the rates of hospital discharges for acute gastroenteritis, the control disease analyzed |
| Pirez42 (2014) | Uruguay | Descriptive (retrospective), comparing years before (2003-2007) and after (2009-2012) vaccine introduction | Microbiology laboratory database and patient records of a single site | All-cause pneumonia, pneumococcal pneumonia, pneumococcal serotypes | Hospitalization rates among children aged zero to 14 years | Significant reduction in hospitalization rates. A clear two-step reduction in hospitalization rates for pneumonia after each introduction of PCV (PCV-7 and PCV-13). Significant reduction in PCV-13 vaccine serotypes and increase in non-vaccine serotypes after the vaccination program implementation |
| Becker-Dreps7 (2014) | Nicaragua (León) | Descriptive, comparing a period before (2008-2010) and after (2011-2012) vaccine introduction. Control: healthcare visits due to diarrhea | Epidemiological database of 107 public health facilities (93 healthcare centers, 13 primary care centers, 1 public referral hospital) | Pneumonia | Hospitalization rates, outpatient visits among children aged 0 to 14 years and infant mortality | Reduction in hospitalization and outpatient visits for pneumonia and decrease in infant mortality after vaccine introduction. No changes in overall healthcare visits for diarrhea during the study period |
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| Surveillance data | ||||||
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| Hortal25 (2007); Hortal26 (2012) | Uruguay | Two prospective cohorts – a three-year study before27 and a three-year study after28 vaccine introduction | Population-based surveillance system carried out in two municipalities. The study was conducted in four hospitals (two public and two private) | All-cause pneumonia | Annual hospitalization rates; serotype distribution among under-five children | Hospitalization rates for pneumonia did not decline in the three-year prevaccination study. Significant reduction in hospitalization rates for pneumonia and changes in serotypes after vaccine introduction |
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| Primary data | ||||||
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| Santos50 (2013) | Brazil (Sao Paulo, SP) | Case series including years before and after vaccine introduction | Prospective data collection at one university hospital that attends a population of approximately 408,000 inhabitants | Invasive pneumococcal disease | Number of cases/1,000 hospital admissions; antibiotic resistance and serotype distribution | Decrease in invasive pneumococcal disease cases among children under 2 years of age and decrease in vaccine serotypes after vaccine introduction |
| Parra38 (2013) | Colombia | Case series on invasive pneumococcal disease and two transversal studies (before and after vaccine introduction) on nasopharyngeal carriage. Limitations: short observation period after vaccine introduction; children’s vaccination status unavailable | Laboratory surveillance (SIREVA II) data on invasive pneumococcal disease and primary data collection on nasopharyngeal carriage | Invasive pneumococcal disease and nasopharyngeal carriage serotype distribution | Serotype distribution | Decrease in vaccine serotypes and increase in non-vaccine serotypes in invasive pneumococcal disease isolates after vaccine introduction |
ICD: International Classification of Diseases; PCV: pneumococcal conjugate vaccine; PCV-7: 7-valent pneumococcal conjugate vaccine; PCV-10: 10-valent pneumococcal conjugate vaccine; PCV-13: 13-valent pneumococcal conjugate vaccine
Summary of advantages and limitations of study design, data sources, and outcomes of interest used in HIA of vaccination programs.
| Advantages | Limitations | |
|---|---|---|
| Study design | ||
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| Ecological | Relatively simple and less expensive Allows assessment of the vaccination program in a general population | Cannot establish causal relationships It is important to consider adjustment for secular trends and to have a control group (other areas without vaccination programs or other diseases) |
| Cohort | Provides the best information about causal relationships | Demands more time and resources |
| Descriptive and case series | Simplest study designs Can detect changes in types of rotavirus and pneumococcus after the introduction of vaccine programs | Cannot measure prevalence or incidence due to the lack of a well-defined population at risk. Give little information about temporal changes in the frequency of diseases |
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| Data sources | ||
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| Health information system databases | Broad coverage, lower costs, easy access to data and longitudinal follow-up | Lack of standardization in data collection and limitations in completeness and reliability of the available data, database continuity, coverage, representativeness, and sustainability |
| Sentinel-based and laboratory-based surveillance systems | Availability of unpublished data | Information on the catchment population frequently unavailable. Data not generalizable for the entire population. Variable coverage |
| Local secondary data (medical records of a single hospital) | Timeliness, low costs, and availability | Lack of standardization; data not generalizable to the entire population |
| Primary data | May answer specific research objectives More precision and reliability | Small sample size Not generalizable Expensive Sustainability |
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| Clinical syndrome | ||
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| All-cause diarrhea | Does not require specific laboratory tests. May be more valuable to decision makers | Less precision for vaccine effect on rotavirus disease |
| Rotavirus-related diarrhea | More specific and precise | May underestimate the true burden of disease and the global impact of vaccination programs |
| Pneumonia | More frequent | Challenging and variable definition and diagnosis |
| Invasive pneumococcal disease | More severe and of more precise diagnosis | Diagnosis requires the isolation of |
| Meningitis | More severe, of more precise diagnosis and has more information available since it is a notifiable disease | Less frequent |
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| Outcomes of interest | ||
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| Hospitalization rate | Availability of data | Changes in diagnosis coding may affect estimates. Influenced by availability of beds, hospital admission policies and social factors. Unsuitable for clinical syndromes that are mostly treated in outpatient care such as otitis media |
| Mortality rate | More reliable than morbidity data | Measures only results of severe clinical syndromes; thus, changes in less severe conditions will not be identified. Difficulty in discriminating effects of changes in the incidence or treatment of conditions |