Linking evidence to action on social determinants of health using Urban HEART in the Americas/De la evidencia a la accion sobre los determinantes sociales de la salud mediante el instrumento Urban HEART en la Region de las Americas.
According to the World Health Organization (WHO), rapid urbanization is among the three demographic trends that will pose the greatest challenges for public health in the 21st century; the other two are globalization and population aging (3). While it is widely recognized that urbanization brings a number of social and economic benefits (4, 5), a 2010 joint report by WHO and the United Nations Human Settlements Program (UN-HABITAT) also emphasized the economic, social, and political inequalities that impinge on the opportunity to live a healthy life in a city (6-9).
The latest available data from the Americas indicate that there are systematic inequalities in health across socioeconomic groups in urban areas. Figure 1 shows the percentage of children under 5 years of age who are moderately or severely malnourished (height-for-age), or stunted, across urban wealth quintiles, for seven countries with available and comparable data. In Figure 1 it is evident that the children in all seven countries are more likely to be stunted with worse socioeconomic status, revealing a social gradient in child malnutrition. Children from the poorest wealth quintiles are 5.4 times more likely to be stunted than children in the richest wealth quintile, on average, for the seven countries. This form of systematic, unfair, and remediable inequality is considered a health inequity (10).
The imperative to reduce health inequities necessitates action on the social determinants of health (SDH, 11). Recognizing this link, WHO set up the Commission on Social Determinants of Health (CSDH, the Commission) in 2005. The Commission was tasked with articulating the role of the social determinants of health (SDH) in determining health inequities and providing WHO Member States with solutions to tackle them (12).
Nine networks of researchers, each focusing on a specific SDH theme, were set up to support the work of the Commission. The Knowledge Network on Urban Settings (KNUS) was one of the networks  that identified broad policy interventions relating to healthy urbanization (13). A key recommendation of the KNUS report was the development and global application of an equity assessment and response tool that would guide city governments and administrations, ministries of health, and other key stakeholders in taking action on health inequities.
Given that urban health equity indicators are lacking and needed within cities, WHO launched the Urban Health Equity Assessment and Response Tool (Urban HEART) in 2010. Urban HEART provides a framework that organizations from diverse sectors can use together to maximize their collective impact on equity, while staying focused on their own unique roles and mandates. The tool guides users through a process of identifying health inequities and critical social determinants of health, to develop a plan of action to tackle those inequities (14, 15).
A process for complex problems, such as reducing health and social inequities, will not be a one-size-fits-all prescription. It will involve consideration of existing ongoing interventions and follow a cyclical rather than a linear process. Four desirable characteristics of such a tool are (14):
1. Comprehensive and inclusive: addressing health equity requires engagement of multiple sectors and communities in all aspects of the process. Indicators in Urban HEART are, therefore, organized under health outcomes and four SDH policy domains:
(a) Physical environment and infrastructure
(b) Social and human development
2. Easy to use: adopt a rigorous method, yet be simple and practical. For instance, Urban HEART uses a simple "red," "yellow," "green" report card format to show if communities are faring well or facing equity challenges that need to be addressed.
3. Evidence linked to actions: collect evidence that is most likely to inform action. Quantitative or qualitative evidence gathered should meet high standards of quality.
4. Operationally feasible and sustainable: designed to be mainstreamed into the work of participating organizations; not a stand-alone program.
The objective of this study was to examine the experience of select cities in the Americas using Urban HEART and to determine its utility in supporting endeavors to improve health equity.
MATERIALS AND METHODS
Urban HEART was developed in 20072010 as a collaboration among city and national officials, international experts, and WHO. Major components of its development were:
* Review of relevant urban health and health equity tools, and incorporation of this knowledge and experience into the tool (16-21);
* Pilot version of Urban HEART tested in 2008-2009 in 17 cities of 10 low or middle-income countries (Brazil, Indonesia, Iran, Kenya, Malaysia, Mexico, Mongolia, Philippines, Sri Lanka, and Vietnam) to assess its applicability to cities with wide-ranging population levels and social, political, and economic settings;
* Ad-hoc Advisory Group on Urban HEART composed of 12-members (policymakers, academics, and representatives of international organizations) convened face-to-face on two occasions to provide input based on their expertise and feedback from pilot sites.
During 2008-2009, a total of 10 face-to-face consultations  were organized with pilot sites and advisory group members to obtain relevant inputs for developing Urban HEART before officially launching in 2010. Of the 37 indicators recommended in Urban HEART, 12 were identified as "core".  The remaining 25 indicators were categorized as either "strongly recommended" or "optional" indicators. Technical and practical criteria were used to determine the "core" indicators (14):
* Availability of indicator from routine information systems
* Quality of disaggregated data
* Indicative of broader systemic issues
* Limited set of indicators that are actionable
* Sensitivity to inequities within cities
* Linked to other key international initiatives (e.g., the Millennium Development Goals) or tools
The process of selecting core indicators is iterative, and further inputs from implementing cities may determine modifications in the indicator set, as appropriate. While Urban HEART recommends a specific list of indicators, city officials are expected to develop an adapted list of indicators to reflect local priorities, opportunities, and constraints.
Following the health equity assessment, Urban HEART guides users through a process of identifying priority equity gaps and the best practice responses to address those gaps. In the Urban HEART User Manual users have access to more than 300 best practices across the four SDH policy domains and suggested criteria to determine the best interventions in their specific local context (22).
Since 2008, WHO has trained nearly 400 city and country officials from 77 Member States on Urban HEART. PAHO/WHO, in collaboration with the City Government of Bogota, Colombia, and the WHO Center for Health Development organized a training workshop on Urban HEART for officials, academics, and experts from 21 countries in Bogota in May 2011. As a result, cities in Argentina, Bolivia, Brazil, Colombia, Peru, Suriname, and Trinidad and Tobago are now using Urban HEART.
This study analyzed the Urban HEART experience in four cities in the Americas from 2010-2013: Guarulhos (Brazil), Toronto (Canada), and Bogota and Medellin (Colombia). These cities were selected to illustrate the use of Urban HEART in different socioeconomic and cultural contexts within the Region of the Americas (Table 1).
In Bogota, the tool was applied in Bosa District whose poverty rate of 22% made it one of the poorest of the 20 districts in a city with an average poverty rate of 15%. Toronto, where the tool is still being implemented, was included to shed light on the feasibility of adapting Urban HEART to a high-income country context.
Reports submitted by the Urban HEART teams from the respective cities (23-26) constituted the main sources of information and data for this study; supplemental information came from firsthand accounts given by key informants engaged in the process in each city, and pertinent, official materials available on the Internet.
The study examined and evaluated the human and financial resources and networks used by each city to implement Urban HEART; the process by which each city identified indicators with the largest equity gaps and prioritized interventions; and finally, the facilitators and barriers encountered, as well as possible next steps. However, the impact or outcomes of the prioritized interventions were beyond the scope of this study, largely because efforts are ongoing and their impact on health inequities can only be determined over a longer timeframe.
Key partners and resources
In Guarulhos and Medellin, each city's Secretary of Health was the focal point for implementing Urban HEART. In Bosa District, a hospital managed by the Department of Health of Bogota was responsible for Urban HEART. Toronto was an exception, where the Centre for Research for Inner City Health (CRICH), an academic entity, initiated and led the process (Table 2).
In Bosa District, Guarulhos, and Toronto, the focal points were able to involve partners from non-health sectors. In Medellin, the decision to focus on health outcomes primarily required support of the city's public health observatory.
Academia was not involved in either of the Colombian cities, whereas in Guarulhos, the University of Sao Paulo (Sao Paulo, Brazil) contributed to analyzing the indicators using Geographic Information Systems. Community group and NGO involvement in Guarulhos reflects a growing trend in participatory processes in Brazil over recent decades (27). In Toronto, community groups are playing an important role given their emphasis on neighborhood-level planning.
While it is difficult to get accurate estimates of financial expenses incurred, the majority of costs were borne by the city governments in Guarulhos, Toronto, Bosa District, and Medellin. Major activities undertaken by the city governments included the organization of workshops to engage stakeholders, printing of materials, advocacy campaigns, and supporting follow-up interventions.
In Bosa District and Guarulhos, where the local government led the process and a number of non-health sectors participated, the total number of working hours was reported as 2 000 and 2 414, respectively. In Medellin, where a more limited process was undertaken, 1 500 working hours were reported.
All cities were able to obtain disaggregated data for indicators from routine systems and utilize the two data presentation tools in Urban HEART: (a) the Urban Health Equity Matrix (Matrix) and (b) the Urban Health Equity Monitor (Monitor) (14). The Matrix enables a cross-sectional analysis of indicators in color-coded format to compare performance across intended groups. The Monitor, also using a color-coded format, tracks inequities in indicators over time. The Matrix and Monitor use benchmarks, including a lower threshold of performance and an aspirational goal, to determine the relative performance of districts or specific indicators.
Each city selected its indicators based on guidance from Urban HEART and its local priorities (Table 3).
Guarulhos, Brazil. In Guarulhos, 19 indicators were collected for each of the city's 14 districts. Data were collated from Brazil's Mortality Information System (SIM), Information System for Primary Care (SIAB), Information System of Live Births (SINASC), National Program of Immunization, System of Food and Nutrition Surveillance (SISVAN), Information System for Public Health Budget (SIOPS), Electoral Court, Brazil Institute of Geography and Statistics (IBGE), and local information systems.
Toronto, Canada. In Toronto, the team recognized that some Urban HEART core indicators are less relevant to their context given the initial focus on low-and middle-income countries. Therefore, the team is working to adapt the Urban HEART indicator set for a high-income country context using a modified eDelphi technique.
Bosa District, Bogota, Colombia. In Bosa District, 41 indicators were collected for the five Zonal Planning Units (UPZs). Data were sourced from Vital Statistics, the National Statistics Department, the National Police database of crimes, Institute for Recreation and Sports (IDRD), Colombian Family Welfare Institute, Ministry of Finance, hospital databases, and local information systems.
While a comprehensive analysis of the data is beyond the scope of this study, a subset of the Bosa Matrix is presented in Figure 2A to illustrate the identification of equity gaps. All UPZs fare poorly in infant mortality, unemployment, and teenage pregnancy in relation to their respective benchmarks. On the other hand, all UPZs are performing relatively better in incidence of tuberculosis and child malnutrition. Inequities across UPZs can be seen in road traffic accidents, park area per person, completion of primary education, and in the program coverage of "health to your home," a public health campaign.
Medellin, Colombia. Since the focus in Medellin was on health outcomes, nine health outcome indicators were collected for 16 districts from 2005-2010. Data from the Ministry of Health in Medellin were used. The Monitor for infant mortality rate in Medellin is shown in Figure 2B as an example of their assessment. The rate ratio for infant mortality between the worst-off and best-off districts was 3.2 in 2005 and 4.8 in 2010. Although at the city level, the MDG for infant mortality rate was achieved in 2010,  there are four districts that have not yet reached this goal. This analysis has enabled city officials in Medellin to adopt a focused approach for achieving the MDGs and reducing health inequities.
Prioritization of equity issues
Guarulhos, Brazil. In Guarulhos, based on a participatory diagnosis of the data, three districts--Cabuqu, Lavras, and Vila Galvao--were selected for intervention. Community members from each district, together with the local government, developed interventions focused on (a) generation of income and (b) youth development.
Bosa District, Bogota, Colombia. In Bosa District, the Urban HEART team recommended improving existing programs on (a) overcoming segregation and discrimination, (b) land use around water sources, and (c) good governance. These programs include a wide array of activities including, but not limited to: guarantee of integral development in early childhood; the "Bogota Program" which defends, protects, and promotes human rights; recovery programs for conservation of water resources; and the "Bogota Humana" program which promotes public participation in governance.
Medellin, Colombia. In Medellin, the assessment results showed that some districts require additional efforts and planned strategies to promote more equitable growth in the city. Therefore, the Urban HEART team recommended that under existing strategies and programs, districts not meeting the MDGs, be prioritized.
Actions for sustainability
Although Guarulhos chose to create new programs to tackle inequities in the city, Bosa District and Medellin decided to use the Urban HEART assessment to prioritize and strengthen existing initiatives. All cities developed a plan to monitor their progress on identified priorities.
In Guarulhos, it was agreed that Urban HEART would be used to develop annual action plans for the 14 health districts, and that the tool would be integrated with the planning of other departments of the city government. The experience of Bosa District has generated a demand to scale up Urban HEART to the entire city of Bogota. In Medellin, Urban HEART and, in particular, the Urban Health Equity Matrix, will be used for conducting periodic health situation analyses in the city. Following the results of Urban HEART, an activity on "the improvement, strengthening, and dissemination of the Urban HEART methodology across the Colombian territory" was included in the technical cooperation agreement between PAHO and the Ministry of Health of Colombia in 2013.
The experiences of implementing Urban HEART in the Americas are synthesized within the framework of the four desirable characteristics of the tool.
Comprehensive and inclusive
In all cities except Medellin, there was an attempt to conduct a comprehensive exercise considering not only health outcomes, but also SDH. In all three cases, the focal points were able to engage a variety of sectors. In Bosa District and Guarulhos, the political and institutional support from the mayors and city councils were a key facilitator; however, there were barriers in engaging non-health sectors. In Guarulhos, there was greater difficulty in engaging senior officials from non-health sectors throughout the process, even though the responses at the lower levels of the hierarchy were positive.
Ease of use
The simple and clear presentation of inequities through the Matrix and Monitor were considered to be a key factor in making Urban HEART accessible and understandable to all stakeholders in the process. Technical support and capacity building of key officials on the application of the tool, too, supported a smoother implementation process.
The concepts of "urban health" and "health equity" were not adequately understood by all stakeholders. This acted as an initial barrier to getting partners engaged in Guarulhos. Some difficulties were also encountered in gathering SDH data in Guarulhos due to arduous data-sharing mechanisms with other sectors.
Evidence linked to actions
The organization of indicators into the five domains provided a systematic method by which to identify, adapt, and analyze indicators for all cities. Conducting participatory diagnosis and focus group discussions further enhanced the prioritization process to consider indicators that are actionable. The mix of quantitative and qualitative analyses within Urban HEART facilitates the process of linking evidence to actions.
Teams in Bosa District and Medellin faced difficulties in identifying appropriate benchmarks for each indicator. In Urban HEART, benchmarks for equity assessment are recommended to be either political, such as national or local targets, or technical, such as percentage improvement in an indicator, but more guidance could be provided.
Operationally feasible and sustainable
Collecting quality disaggregated data is a major constraint in using Urban HEART in low- and middle-income countries, globally. However, this has been less of a constraint in the cities included in this study since they had access to public health observatories and routine data collection systems.
An important facilitator for the process in Colombia was a team that was convinced of the utility of the tool and was dedicated, full time, to its application. Sustainable use of the tool, however, is dependent on the political will and financial capacity of the local government.
In Guarulhos, a change in local government mid-way through the process of Urban HEART posed a challenge for its continuity. This was overcome through advocacy with the new mayor and municipal council on the utility of the tool, primarily by community groups engaged throughout the process. This experience highlighted the importance of engaging local communities to ensure sustainability of actions.
There were two notable limitations of this study. First, the experiences of all cities that have used Urban HEART in the Americas were not captured for a more comprehensive analysis. Second, while the process of Urban HEART has been delineated, the impact on outcomes is yet to be determined.
The experience of Guarulhos, Toronto, Bosa District (Bogota), and Medellin have provided valuable insight into the viability and utility of Urban HEART as a tool to promote local action on health inequities through the lens of SDH in the Region. As a next step, cities in the Americas could undertake independent evaluations of their Urban HEART processes and outcomes just as 15 cities have done to date. 
As indicated by the cities in this study, there are some challenges to using the tool in different contexts. First, the core indicators' focus on MDGs does not resonate with cities of high-income countries. CRICH intends to share its process and indicators selected for Toronto in order to provide a model for cities in high-income countries. Second, the health sector needs to be better supported in engaging other sectors and eliciting the mutual benefits of coordinated action on health inequities. Third, applying Urban HEART requires disaggregated data, which is either not readily available or not easily shared between sectors. Urban HEART would need to provide resources for cities to deal with these critical issues going forward.
Nonetheless, Urban HEART has provided local governments with access to a simple, systematic, and practical method with which to assess and respond to health inequity. It has also raised awareness of the link between health equity and SDH among a wide variety of stakeholders, including non-health sectors. A framework of indicators with the flexibility for local adaptation has enhanced the acceptance of this tool in the Region. Cities considered in this study have attempted to use the findings to inform existing initiatives or have integrated Urban HEART in cyclical planning processes. They have also managed to largely self-finance the process, which has led to greater local ownership of the tool. Given the positive experience with Urban HEART in the cities considered, efforts to scale up the use of the tool within the Americas should be pursued to support local and national stakeholders in their endeavors to reduce urban health inequities.
Conflicts of interest. None.
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Manuscript received on 1 April 2013. Revised version accepted for publication on 25 September 2013.
Amit Prasad,  Ana Maria Mahecha Groot,  Teofilo Monteiro,  Kelly Murphy,  Patricia O'Campo,  Emilia Estivalet Broide,  and Megumi Kano 
 World Health Organization (WHO), Kobe, Hyogo, Japan. Send correspondence to: Amit Prasad, email: email@example.com
 PhD Program, Rutgers University, New Brunswick, New Jersey, United States of America.
 Pan American Health Organization (PAHO)/WHO, Bogota, Colombia.
 Centre for Research on Inner City Health, St. Michael's Hospital, Toronto, Ontario, Canada.
 Guarulhos Municipality, Department of Health, Sao Paulo, Brazil.
 The other eight SDH themes were: health systems, women and gender equity, measurement and evidence, employment conditions, globalization, early child development, social exclusion, and priority public health conditions.
 The 10 face-to-face consultations were in: Tehran (April 2008), London (November 2008), Jakarta (December 2008), Kobe (January 2009), Yaounde (April 2009), Brasilia (May 2009), Manila (October 2009), Amman (October 2009), and Nairobi (October and November 2009).
 The core indicators were: infant mortality, tuberculosis, diabetes, road traffic injuries, access to safe water, access to improved sanitation, completion of primary education, skilled birth attendance, fully immunized children, tobacco prevalence, unemployment, and government spending on health.
 The MDG 2015 for infant mortality rate in Colombia is 10 per 1 000 live births based on a two-thirds reduction in mortality since 1990.
 The 15 cities with evaluations of Urban HEART are: West Jakarta, North Jakarta, and Denpasar (Indonesia); Tehran (Iran); Nakuru (Kenya); Ulaanbaatar (Mongolia); Davao, Naga, Olongapo, Paranaque, Tacloban, Taguig, and Zamboanga (Philippines); Colombo (Sri Lanka); and Ho Chi Minh City (Viet Nam).
TABLE 1. City and country context for implementation of the Urban Health Equity Assessment and Response Tool (Urban HEART) for four cities in the Region of the Americas, 2010-2013 City Population GDP per capita (a) City, Country (millions) (US$) Guarulhos, Brazil 1.30 7 130 Toronto, Canada 2.61 (b) 43 660 Bosa District (Bogota), Colombia 0.58 5 821 Medellin, Colombia 2.34 3 004 City Official language(s) City, Country (national) Guarulhos, Brazil Portuguese Toronto, Canada English, French Bosa District (Bogota), Colombia Spanish Medellin, Colombia Spanish Urban HEART implementation City, Country Area Guarulhos, Brazil City-wide, 14 health districts Toronto, Canada 140 planning areas Bosa District (Bogota), Colombia 5 zonal planning units (UPZs) Medellin, Colombia City-wide, 16 administrative divisions Urban HEART implementation City, Country Key objective Guarulhos, Brazil Reduce inequities in health and SDH Toronto, Canada Reduce inequities in health and SDH Bosa District (Bogota), Colombia Reduce inequities in health and SDH Medellin, Colombia Achieve MDGs for health in all divisions Urban HEART implementation City, Country Status Guarulhos, Brazil Completed (2010) Toronto, Canada Ongoing; expected completion (2014) Bosa District (Bogota), Colombia Completed (2012) Medellin, Colombia Completed (2012) GDP: Gross Domestic Product. (a) Source: Ni P. The global urban competitiveness report 2011. Cheltenham, UK: Chinese Academy of Social Sciences; 2012. (b) Source: Statistics Canada. 2011 census: population and dwelling count. Available from: www.statcan.gc.ca/daily-quotidien/120208/ dq120208a-eng.htm?WT.mcJd=twtB2000 TABLE 2. Key partners and resources applied in implementing the Urban Health Equity Assessment and Response Tool (Urban HEART) in four selected cities in the Region of the Americas, 2010-2013 Health sector City, Country Focal point (government) Guarulhos, Brazil Secretary of Municipal Health Health Council Ministry of Health Toronto, Canada St. Michael's Toronto Central Hospital's Local Health Centre for Integration Research Network on Inner (Regional City Health Health (CRICH) Authority) Bosa District Public Hospital District Secretary (Bogota), Pablo VI of Health of Colombia Bogota Medellin, Secretary of Public Health Colombia Health Observatory of Key partners Non-health sectors City, Country (government) Academia Guarulhos, Brazil City of Guarulhos University * Employment relations of Sao * International relations Paulo * Social Welfare * Education * Environment * Habitat * Culture Toronto, Canada City of Toronto Social CRICH Planning Finance and Administration Department Toronto District School Board Bosa District City of Bogota (Bogota), * Culture and Sport Colombia * Habitat * Planning * National Family Welfare Institute * Sub-directorate of Local Integration * Water and Sewage Medellin, Colombia Resources Financial source City, Country Community/ NGOs (US$) Guarulhos, Brazil ONG Cabucu Guarulhos Municipality Nucleus Batuira (NA) Stella Maris Child World Health Nucleus Organization (US$ 10 000) Pastoral Care for Children Toronto, Canada United Way Toronto Canadian Institutes Woodgreen of Health Community Research Services (US$ 197 000) Bosa District Council of City of Bogota (Bogota), Community (NA) Colombia Participation in Health Pan American Health Organization (US$ 5 000) Medellin, City of Medellin Colombia (NA) Human resource City, Country estimate Guarulhos, Brazil 2 414 working hours (all staff) Toronto, Canada 2 full-time equivalent for 2 years 480 working hours of steering committee and communications consultation (expected) Bosa District 2 000 working hours (Bogota), (all staff) Colombia Medellin, 1 500 working hours Colombia (all staff) the Mayor of Medellin NA: Not available TABLE 3. Indicators collected by Guarulhos (Brazil), Bosa District (Bogota, Colombia), and Medellin (Colombia) for health equity assessment using the Urban Health Equity Assessment and Response Tool (Urban HEART), 2010-2012 Domain of Urban HEART Guarulhos, Brazil Health outcomes * Infant mortality * Under-5 mortality * Maternal mortality * Life expectancy at birth * Tuberculosis mortality * HIV/AIDS mortality * Diabetes mortality * Road traffic accident mortality * Homicide * Homicide by male/ female * Cancer mortality * Cardiovascular disease mortality Physical environment * Access to safe water and infrastructure * Households served by municipal solid waste management system Social and human * Literacy development * Skilled birth attendance * Teenage births Economics Owned housing Rented housing Governance -- Domain of Urban HEART Bosa District (Bogota), Colombia Health outcomes * Infant mortality * Under-5 mortality * Under-5 mortality caused by malnutrition * Under-5 mortality by pneumonia * Under-5 mortality by diarrheal disease * Maternal mortality * Perinatal mortality * Road traffic accident mortality * Tuberculosis incidence * Mumps incidence * Pertussis incidence * Suicide attempts incidence Physical environment * Access to safe water and infrastructure * Access to improved sanitation * Floods occurrence * Sports and recreation equipment * Area covered by parks * Cultural facilities * Social welfare facilities * Health facilities * Educational facilities * Safety defense and justice equipment Social and human * Low birth weight development * Children underweight under-5 years * Acute malnutrition under-5 years * Exclusive breastfeeding for infants * Teenage pregnancies (10-14 years of age) * Teenage pregnancies (15-19 years of age) * Sexual violence * Domestic violence * Completion of primary education * Literacy Economics * Families with members without food for lack of money * Population with '0' socioeconomic status level * Population with very low ('1') socioeconomic status level * Population with low ('2') socioeconomic status level * Population with medium-low ('3') socioeconomic status level Governance * Program coverage of 'Health to Your Home' * Population without affiliation to the health system (uninsured) Domain of Urban HEART Medellin, Colombia Health outcomes * Infant mortality * Under-5 mortality * Under-5 mortality caused by malnutrition * Under-5 mortality caused by respiratory disease * Under-5 mortality caused by diarrheal disease * Maternal mortality * Syphilis incidence * Tuberculosis mortality * Dengue mortality Physical environment -- and infrastructure Social and human -- development Economics -- Governance -- FIGURE 2A. Example of Urban Health Equity Matrix for Bosa District, Bogota, Colombia: Inequities in health outcomes and the social determinants of health in Bosa District for 10 selected indicators across five Zonal Planning Units (UPZ), 2011 Zonal Planning Units (UPZ) of Bosa District Selected Indicators from Bosa (a) Worse than baseline District's Matrix (b) Between baseline and goal (c) Achieved goal Apogeo Central Occidental Infant mortality rate per 1 000 (a) 36.7 (a) 17.6 (a) 13.2 live births Incidence of tuberculosis per (c) 2.7 (c) 6.6 (c) 7.5 100 000 population Road traffic accidents per (a) 13.7 (b) 5.7 (b) 5.8 100 000 population Percent of neighborhoods with (c) 100.0 (c) 99.2 (c) 99.3 sewerage coverage Park area ([m.sup.2]) per person (b) 4.1 (b) 2.1 (a) 0.7 Completion of primary education (b) 61.7 (a) 58.7 (b) 60.5 (%) Prevalence of teenage (15-19 (a) 28.2 (a) 40.0 (a) 33.0 years) pregnancy (%) Percent of under-5 years who are (c) 1.5 (b) 3.7 (c) 1.6 underweight Unemployment rate (%) among (a) 39.6 (a) 35.5 (a) 40.4 population of working age Program coverage (%) of "Health (b) 23.4 (c) 51.4 (b) 36.4 to Your Home" Zonal Planning Units (UPZ) of Bosa District Selected Indicators from Bosa (a) Worse than baseline District's Matrix (b) Between baseline and goal (c) Achieved goal Porvenir Tintal Sur Infant mortality rate per 1 000 (a) 13.8 (a) 27.9 live births Incidence of tuberculosis per (c) 6.3 (c) 7.4 100 000 population Road traffic accidents per (c) 0.0 (c) 3.7 100 000 population Percent of neighborhoods with (a) 97.0 (a) 90.0 sewerage coverage Park area ([m.sup.2]) per person (a) 1.0 (b) 3.7 Completion of primary education (b) 60.1 (a) 55.9 (%) Prevalence of teenage (15-19 (a) 40.0 (a) 58.0 years) pregnancy (%) Percent of under-5 years who are (c) 1.3 (c) 0.1 underweight Unemployment rate (%) among (a) 39.3 (b) 27.6 population of working age Program coverage (%) of "Health (b) 30.7 (a) 14.0 to Your Home" Selected Indicators from Bosa Benchmarks District's Matrix Baseline Goal Infant mortality rate per 1 000 10.8 9.9 live births Incidence of tuberculosis per 14.3 10.0 100 000 population Road traffic accidents per 7.2 4.4 100 000 population Percent of neighborhoods with < 99.1 > 99.1 sewerage coverage Park area ([m.sup.2]) per person 2.0 4.9 Completion of primary education 60.0 84.0 (%) Prevalence of teenage (15-19 21.7 17.9 years) pregnancy (%) Percent of under-5 years who are 7.5 3.4 underweight Unemployment rate (%) among 30.0 25.0 population of working age Program coverage (%) of "Health 23.0 40.0 to Your Home" Source: Hospital Pablo VI Bosa Ese I Nivel. Analisis de Equidad en Salud (Urban HEART) Localidad Septima de Bosa, 2012. Bogota (Colombia): Alcaldia Mayor de Bogota; 2012.
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|Title Annotation:||Original research/Investigacion original|
|Author:||Prasad, Amit; Groot, Ana Maria Mahecha; Monteiro, Teofilo; Murphy, Kelly; O'Campo, Patricia; Broide,|
|Publication:||Revista Panamericana de Salud Publica|
|Article Type:||Author abstract|
|Date:||Dec 1, 2013|
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