CUBAN PROFESSIONAL LITERATURE - REVIEW ARTICLE
A Monitoring System for Health Equity in Cuba
Abelardo Ramírez Márquez, MD, PhD
Cándido López Pardo, PhD, MPH
ABSTRACT: This paper summarizes essential aspects of the doctoral thesis entitled “A Proposal for a Monitoring System for Health Equity in Cuba,” presented by Dr. Abelardo Ramírez Márquez, who was First Vice-Minister of the Ministry of Public Health at the time, for his PhD in Health Sciences. The objectives of the proposed system are: to identify the inequalities in health care – both in population health status and its determinants – by territorial and population groups, taking into account time factors, and to determine the association between population health status and health determinants. Additionally, this article assesses the health inequities resulting from the inequalities identified. The prevailing approaches to the concept of equity are discussed, particularly equity in the health field. The experiences of health equity monitoring systems in Latin America are presented and certain characteristics of the proposed monitoring system are described. Also considered is the rationale for such a system in Cuba, its coverage and units of analysis, plus the information and indicators to be monitored. Information collecting procedures; general and specific objectives of analysis; system users and outputs; the characteristics of a geographic information system; and the limitations of the system suggested, are also addressed. The system is expected to reveal realities concerning the population’s health situation and its invisible determinants and to produce results to inform decision-making at all levels of the National Health System.
Keywords: MONITORING; HEALTH INEQUALITIES; EQUITY; CUBA
HEALTH EQUITY: CONTEMPORARY APPROACHES
Perhaps the most widespread and well-summarized definition of health inequity is the one proposed by Margaret Whitehead, which in essence states that inequity refers to unnecessary and avoidable inequalities that are moreover, unfair. Thus, to describe a situation as inequitable, the cause must be examined and judged unfair in the context of what is happening in the rest of society.[1] Therefore, equality does not necessarily imply equity, just as inequality does not necessarily imply inequity. An unfair equality is likewise an inequity.
Gwatkin[2] identifies several periods in which health inequalities and other aspects of health status and services have been treated in different ways. One of these was in the early 70s, when the emphasis was on the improvement of poor people’s health, so they could obtain the same health benefits available to the most favored. Another was in the mid-80s, when, among other things, the capacity for primary health care to produce the expected benefits was placed in doubt, thus shifting interest from “health for all” to “health sector reform.” Then, in the mid- to late-90s, the focus returned to concern for the distribution of health and health services. Gwatkin predicted that interest would be renewed in aspects of distribution, due to the growing interest in poverty and inequality in global development and as a result of developments in global health.
Peter and Evans[3] present four philosophical-moral approaches to health equity. The utilitarian approach advocates the need to maximize the sum of individual well-being, assuming that the capacity of all people to enjoy good health is equal. According to this framework, achievement of maximum health for the population implies that each person reaches the highest level of health, regardless of which groups are achieving these benefits (rich or poor), provided the benefits exert the same effect on the health of the entire population.
The egalitarian approach focuses on distribution without placing value on total health. There are different types of egalitarian theories; not all prioritizing health. For example, the “equal resources” approach states that only equal general resources - such as economic opportunity - are necessary and once such equality in resources is obtained, it simply depends on how each person wishes to use it. From this point of view, a society that guarantees its citizens equal resources does not need to give health care special attention.
The priority approach is considered a counterbalance to the utilitarian approach. It requires that health benefits be assigned to the most ill and emphasizes that differences in health outcomes are only of secondary importance, placing emphasis instead on final health outcomes. This perspective focuses on those in the worst health and not necessarily on the health of the poorest.
The approach derived from the Rawlsian ideal of society as a fair, cooperative system, understands health inequalities as a consequence of a social organization that does not satisfy the requirements of fair social cooperation. Considered unfair are inequalities of class, gender, race, region or other determinants originating in a society’s basic structure and that may be the result of a social division of labor that benefits the more well-to-do at the expense of the most disadvantaged.
The debate over health equity reveals a diversity of definitions and approaches. The objectives of the proposal at hand demand - as we found in previous work[4] - an understanding that contemporary Cuban society is legitimated on the basis of social equity, and it is this equity approach that underpins its economic and social policies. The notion of equity we start from is based on social justice criteria that do not deny diversity, but instead regard it as a socially enriching element. This notion presupposes overcoming all discriminatory practices in every sphere of human activity. For us, health equity means equal opportunity to access available resources, a democratic distribution of power and knowledge in the health system, and health policy that benefits everyone without granting privileges due to differences in race, gender, territory, disability or any other distinguishing group or individual feature.
EXPERIENCES WITH HEALTH EQUITY MONITORING SYSTEMS
In the 90s, a good number of projects emerged related to poverty, equity and health, in which a number of countries were involved. These projects are particularly important for quantifying health inequalities, as a way of assessing health inequities. In a study for the World Bank, these projects were identified.[5] Some of them were related in one way or another to monitoring systems, which although similar in purpose, may differ substantially in their design. The present discussion is limited to certain Latin American experiences.
In Chile, continuous health care equity monitoring is carried out at regional and communal levels through routine collection of demographic, vital statistics, socioeconomic, educational and morbidity and mortality data from different sources.[6] In Brazil, health inequalities are monitored at regional and state levels. The system is based on information from different sources and takes into account indicators of human resources, health care capacities, access and use of health services, financing, quality of medical care, health situation and living conditions.[7] In Peru, although not conceptualized as a monitoring system, an analysis of the extent of health inequity has been carried out. The assessment aims, among other goals, to carry out more profound research into the magnitude of inequity in the health status of Peruvians, to show the need to include this issue on the national agenda, involving not only the academic community, but also politicians, public officials and civil society in general.[8]
Other health equity studies, particularly with respect to access to health services and services of equal quality, were carried out in Colombia and Venezuela.[9] To learn of other experiences in health care equity monitoring, work carried out by the World Health Organization[10] and the Health Systems Trust [11] may be consulted; additional research may be referred to for more general conceptual and methodological aspects related to the measurement of health inequalities.[12-20]
CHARACTERISTICS OF THE PROPOSED HEALTH EQUITY MONITORING SYSTEM
Three elements justify the application of a health equity monitoring system in Cuba:
- The substantive changes that have occurred in the living conditions of the population and other economic and social spheres, together with the reduction of the homogeneity that characterized the Cuban population.
- We are still far from knowing how social disparities may affect population health status.a
- Research is needed on diversity among human groups that are different in various ways, including in their access to health services, as well as their geographical and socioeconomic conditions.
Objectives of the proposed system:
- Identify health inequalities - with respect to population health status as well as its determinants - among different territories and population groups, taking time factors into account.
- Determine the existing association between the levels of population health status and health determinants.
- Evaluate health inequities resulting from the inequalities identified.
The system is structured on the following bases:
- It should be coherent with national health policy and its specific strategies.
- It should be developed in accordance with existing resources.
- It should be sensitive to relatively short-term changes in population health status and health determinants.
- It should have enough flexibility to respond to users’ needs.
- It should complement and integrate available information produced by other agencies of the Ministry of Public Health and other bodies.
Expected results
The system is expected to:
- Elucidate realities of the global health status that are not currently visible.
- Identify elements for producing alerts, within the health and other sectors.
- Produce useful results to inform political-administrative decision-making at different levels of the National Health System, depending on the magnitude and distribution of the event under consideration.
Coverage and units of assessment
The system’s coverage is national and the units of assessment are the country’s 169 municipalities.
Information to be monitored
The system will capture information of a permanent, as well as occasional, nature. Permanent information will flow according to certain procedures, while transmission of occasional information will be determined at the necessary time according to prevailing circumstances.
In terms of permanent information, the health status of the population will be monitored, as well as its determinants. The areas of population health status to be monitored are:
- Under-five child mortality;
- Maternal mortality;
- Mortality and morbidity from specific causes;
- Nutritional status; and
- Disability.
In relation to the determinants considered (medical care, social, economic, environmental and demographic),b the areas and indicators to be permanently monitored are shown in Appendix 1.
Indicators to be monitored
The process for selecting the indicators for the monitoring system began with the identification of potential indicators available from all municipalities in the country. These were submitted for consideration to a large group of experts from the health and other sectors to evaluate their inclusion in the monitoring system. The selected indicators associated with each area of population health status are listed in Appendix 2. The source of information for these indicators is the National Statistics Division of the Ministry of Public Health.
Sixty-two experts from 17 institutions or agencies participated in the design of the system - particularly in the selection of the indicators; seven branches of the Ministry of Public Health also took part. Twenty-seven indicators linked to population health status and 52 linked to determinants were identified.
The indicators selected for monitoring related to each area of determinants are listed in Appendix 1. The information, except for some indicators, will be collected annually.
Additionally, as part of the permanent module, results from the Public Opinion Reporting System of the Health Tendencies Analysis Unit, will be considered. This system collects feedback from patients and service deliverers about health services, permitting assessment of the fundamental problems affecting satisfaction.
Data collection procedure
At system headquarters - proposed to be located at the Ministry of Public Health - data would be centrally processed from three sources: the system’s provincial headquarters, national agencies, and the national Health Tendencies Analysis Unit. Data flow is summarized in Figure 1.
Figure 1: Information Flow for the Health Care Equity Monitoring System

Data Analysis Objectives
Analysis of resulting information has the following general objectives:
- Identify existing gaps in the availability of resources and services in health and other sectors.
- Monitor - in time and space - the mortality and incidence or prevalence (as appropriate) of the defined diseases and adverse effects on health.
- Identify the extent and patterns of space-time distribution of the areas under study related to population health status and the determinants.
- Determine the association between levels of mortality, incidence or prevalence, and levels of the determinants studied.
- Identify the potential impact on population health status or the determinants considered of interventions undertaken in time series dynamic.
- Determine the efficiency of defined resources on the results of population health status and the determinants.
- Determine homogeneity of municipalities in achieving success in global health status.
- Evaluate municipalities with respect to their global health status according to a synthetic index.
The 4th objective constitutes a key aspect of the system and conforms to the emphasis in recent years on the need to monitor the association between a population’s health status and its socioeconomic status. This system proposes to extend monitoring of such associations to other elements of health determinants. The role played by social and economic determinants in population health status disparities is sufficiently supported, conceptually as well as empirically.[21-23] For example, Casas, Dachs and Bambas[23] document wide health differences - both in population health status and services - between those with high and low levels of well-being (whether measured by income or other material conditions); and among those registering differences in educational level, territorial distribution (for example, between geographical regions or urban and rural areas), ethnicity, gender, physical and financial access to health services and national origin.
Figure 2 illustrates specific assessment goals under each of the general objectives put forward, and the respective universes to be studied.
Figure 2: Goals & Universes to be Studied
Specific goal |
Universe for study |
1.1 |
Identify municipalities significantly deprived of resources and services. |
Municipalities as a whole,
or groups of them |
1.2 |
Identify inequalities in distribution of resources and services with respect to population
distribution. |
Municipalities as a whole, groups of them and each municipality in particular |
1.3 |
Determine the proportion and number of resources and services that would need to be
redistributed among municipalities or groups of municipalities to achieve equity in their
distribution, defined by specific criteria. |
Municipalities as a whole or groups of them |
1.4 |
Identify spatial clusters of municipalities with notoriously low numbers of available
resources and services. |
Same as above |
1.5 |
Evaluate trends and forecast availability of resources and services. |
Municipalities as a whole, groups of them and each municipality in particular |
1.6 |
Identify if interventions have modified the availability of resources and services over time. |
Same as above |
1.7 |
Determine the lag between time of intervention and the most significant moment of the
impact, if there is a change in the trend of the time series. |
Same as above |
2.1 |
Detect significant increases over time in morbidity and mortality for diseases and adverse
health effects considered. |
Same as above |
2.2 |
Identify municipalities with a significant excess of mortality or morbidity of diseases
and adverse health effects, for each defined category of determinant indicators. |
Municipalities as a whole or groups of them |
2.3 |
Identify the existence of significant interaction between places and times of appearance
of disease and other defined health problems. |
Municipalities as a whole, groups of them and each municipality in particular |
3.1 |
Determine the mortality and morbidity of diseases or adverse health effects and their
association with defined factors. |
Same as above |
3.2 |
Identify inequalities in mortality and morbidity according to population distribution. |
Same as above |
3.3 |
Identify spatial clusters of municipalities with outstanding high or low mortality and
morbidity indicators. |
Municipalities as a whole or groups of them |
3.4 |
Determine mortality and morbidity time clustering. |
Municipalities as a whole, groups of them and each municipality in particular |
3.5 |
Evaluate trends and forecast mortality and morbidity levels. |
Same as above |
3.6 |
Identify seasonal patterns of mortality and morbidity. |
Same as above |
4.1 |
Identify existing association between mortality and morbidity levels and
categories of determinants. |
Same as above |
4.2 |
Determine the difference in mortality and morbidity levels between the stratum with
the best determinants and other strata. |
Municipalities grouped
in strata, with respect to determinant’s indicator
being considered |
4.3 |
Determine average change in mortality or morbidity indicator for every unit
change in determinant indicator. |
Same as above |
4.4 |
Determine relative variations in average changes in mortality or morbidity indicator
in successive intervals of given determinant indicators. |
Same as above |
4.5 |
Evaluate proportional and absolute changes in global mortality or morbidity levels if
all strata possessed the best determinant condition. |
Same as above |
4.6 |
Evaluate proportional and absolute change in mortality or morbidity levels of each
stratum if they all possessed the best determinant condition. |
Same as above |
4.7 |
Evaluate relative risks in mortality or morbidity for each stratum with respect to
the stratum with the best determinant condition adjusting for factors that may cloud
the effect of variables considered. |
Same as above |
4.8 |
Determine the extent of difference in mortality or morbidity considering inequalities in
a certain determinant area. |
Municipalities as a whole, groups of them and each municipality in particular |
5.1 |
Identify if there has been a significant change in the dynamics of the time series near the
moment when interventions took place. |
Same as above |
5.2 |
Determine the delay between the moment of intervention and the instant of greatest
impact, if there was a change. |
Same as above |
6.1 |
Identify those municipalities that achieved results in population health status higher
or lower than expected according to availability of resources. |
Municipalities as a whole
or groups of them |
6.2 |
Identify municipalities that achieved results in aspects of determinants that were higher
or lower than expected according to existing resources. |
Same as above |
7.1 |
Identify municipalities with different balances in health outcome levels. |
Same as above |
7.2 |
Rank municipalities according to levels of homogeneity in achieving health outcomes. |
Same as above |
8.1 |
Determine the global health status for each municipality in relation to a group
or all of the municipalities using a territorial indicator of health equity (TIHE). |
Same as above |
8.2 |
Identify gaps in global health status between different municipalities. |
Same as above |
8.3 |
Rank municipalities according to their degree of development in global health. |
Same as above |
8.4 |
Determine if there are spatial clusters of municipalities with significantly low or high
values of TIHE. |
Same as above |
8.5 |
Determine the efficiency of each municipality in achieving its global health situation
as a function of available resources. |
Same as above |
Geographic - Information System Design
Several Geographic Information Systems were analyzed for use in this system. The most convenient found was the SIG Epi version 1.0, designed by the Special Program for Health Analysis of PAHO, due to its accessibility, computer programming attributes, multi-layer data management, and use of different spatial analysis methodologies. The data assessment layers in this system propose analysis of each variable according to territorial - provincial and municipal - references.
Treatment of Information in Municipalities with Small Populations
Mortality and morbidity analysis performed in those municipalities with relatively small populations is always a concern when the frequency of an event considered is low and the population is very small, the rates vary widely and change notably in the same territory, by virtue of any slight change in the number of cases. The use of several methods that address this problem will be explored, among them the Bayesian model. Populations of Cuban municipalities range from 9,000 (Ciénaga de Zapata, pop. 9,037, est. June 30, 2002) to over 50 times that (Santiago de Cuba, pop. 479,475, est. June 30, 2002).[24]
System Outputs
The system will group permanent outputs for the most relevant information in tables, graphics and maps, their format designed to reflect the most relevant information. Additionally, the output module allows development of these same tools on an occasional basis as circumstances require.
System Users
System users will be management-level personnel in state, health and other sectors who require the information for their work. In principle, all institutions involved in providing information will be system users (see Figure 1). By the same token, political and civil organizations and the mass media will also be system users according to their needs. Permanent results will be published annually and occasional results will be published periodically as required. Information channels will be established in accordance with users’ characteristics.
Limitations of the System
Identification of the possible association between the levels and trends in population health status and health determinants is carried out in this system using an ecological approach, understanding that the unit for assessment is a conglomeration of individuals grouped according to geo-demographical, socioeconomic or other criteria.[25] This type of study frequently carries the potential risk of committing the common ecological error in assuming that associations found among groups are equally true for individuals. According to Susser,[26] Riley[27] uses the term aggregation fallacy to describe the error of applying associations identified among groups to individuals; and the term atomistic fallacy to describe the reverse, that is, inferring ecological relations among groups from observations carried at the individual level.
Nevertheless, concern for this fallacy may be exaggerated (constituting the fallacy of the ecological fallacy), because there may be no interest in extrapolating to individual levels what was found at the group level. Moreover, in many instances, it would make no sense to carry out an analysis at the individual level since the characteristics of the variables studied can only be interpreted at a group level. According to Silva[28] - who revives use of this approach - ecological studies have lost popularity in contemporary epidemiological research, partly due to the fear the ecological fallacy engenders and partly due to prejudices. Of these last, the most well established and pernicious is the conviction that the variables measured at group level do not represent causal agents of disease.
Additionally, as Kunst and Mackenbach[29] point out, the value of ecological studies lies in that they can indicate the effect of socioeconomic inequalities on health when there is no information available at the individual level. Moreover, these authors note, the comparison between areas may provide highly relevant information for local policies, since they clearly identify areas with excessive health problems.
CONCLUSIONS
A health care equity monitoring system is justified in Cuba because of the substantive changes that have occurred in the living conditions of the population and other economic and social spheres, together with the reduction of the homogeneity that characterized the Cuban population; because we are still far from knowing how social disparities may affect population health status; and because research is needed on diversity among human groups that are different in various ways, including their access to health services, as well as their geographical and socioeconomic conditions. There is also the political will of the Cuban government to eliminate unjust inequalities that may exist in the country.
Implementation of the system is feasible thanks to the availability of the information required and because the inherent procedures have been designed.
An evident need exists for an inter- and trans-disciplinary approach to design a monitoring system that would allow the identification of health inequalities using an integral approach that includes the health status of the population and its determinants
RECOMMENDATIONS
-
The leadership of the Ministry of Public Health should evaluate the proposed health care equity monitoring system for its application.
-
The experiences of this study should be taken into account in future monitoring system designs for health or other sectors, related to population health status and/or its determinants.
-
Those interested in analysis of territorial development should take into account this work and are encouraged to design other monitoring systems at the local level.
-
Health sector specialists should become familiar with the conceptual aspects considered in this paper, with which in general, there is not sufficient familiarity.
-
The National School of Public Health, the Higher Institutes and Schools of Medicine and other academic institutions in health and other sectors should consider incorporating the contents of this paper in their curricula.
REFERENCES
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- Gwatkin DR. Reducing health inequalities in developing countries. In: Background Reading, International Meeting "Equity Gauge: an approach to monitoring equity in health and health care in developing countries." South Africa, 17-20 August 2000.
- Peter F, Evans T. Dimensiones éticas de la equidad en salud. In: Evans T, Margaret W, Diderichsen F, Bhuiya A, Wirth M, eds. Desafío a la falta de equidad en salud: de la ética a la acción, Washington, DC: Fundación Rockefeller; Organización Panamericana de la Salud; 2002. (Publicación Científica y Técnica No. 585).
- Escuela Nacional de Salud Pública. Proyecto “Monitoreo de Equidad y Salud en Cuba.” Grupo Básico de Trabajo. La Habana; 2001. (Mimeo).
- Carr D, Gwatkin DR, Fragueiro D. Multi-country study programs on equity, poverty and health. s/l: World Bank; 1999. (Mimeo).
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- Valdivia M. Acerca de la magnitud de la inequidad en salud en el Perú. Lima: Grupo de Análisis para el Desarrollo; 2002. (Documento de Trabajo 37).
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- World Health Organization. Final report of meeting on policy-oriented monitoring of equity in health and health care, Geneva, 29 September-3 October 1997. Geneva: World Health Organization;1998. (Document WHO/ARA/98:2).
- Health Systems Trust. Project summaries. International meeting "Equity Gauge: an approach to monitoring equity in health and health care in developing countries." South Africa, 17-20 August 2000. (Mimeo).
- Whitehead M, Scott-Samuel A, Dahlgren G. “Setting targets to address inequalities in health.” Lancet 1998; 351:1279-82.
- Borrell C. La medición de las desigualdades en salud. Gac Sanit 2000;14 (supl.3):20-33.
- Murray CJL, Gakidou EE, Frenk J. Health inequalities and social group differences: what should be measured. Bull World Health Organ 1999; 77:537-42.
- Programa Especial de Análisis de Salud de la Organización Panamericana de la Salud. Indicadores/metodologías para medir/establecer equidad en salud. Elaborado para la Reunión de Gerentes de OPS. Washington DC, 1999.
- Anand S. Medición de las disparidades en salud: métodos e indicadores. In: Evans T, Margaret W, Diderichsen F, Bhuiya A, Wirth M, eds. Desafío a la falta de equidad en salud: de la ética a la acción. Washington, DC: Fundación Rockefeller; Organización Panamericana de la Salud; 2002. (Publicación Científica y Técnica No. 585).
- Dachs N. Inequidades en salud: cómo estudiarlas. In: Restrepo H, Málaga H. Promoción de la salud: cómo construir vida saludable. Bogota: Editorial Médica Panamericana; 2001.
- Sen A. Many faces of gender inequality. Inauguration lecture for the New Radcliffe Institute at Harvard University. April, 2001. The New Republic, September 17, 2001.
- Wolfson M, Rowe G. On measuring inequalities in health. Bull World Health Organ 2001; 79:553-60.
- Kunst AE, Mackenbach JP. Measuring socioeconomic inequalities in health. Copenhagen: World Health Organization, Regional Office for Europe; s/f. (Document EUR/ICP/RPD 416).
- Castellanos PL. Proyecto: Sistemas Nacionales de Vigilancia de Situación de Salud según Condiciones de Vida y del impacto de las Acciones de Salud y Bienestar. Washington DC: OPS/OMS; 1991.
- Braveman P. Monitoring equity in health: a policy oriented approach in low-and-middle income countries. Geneva: WHO; 1998. (Doc. WHO/CHS/HSS/98.1).
- Casas JA, Dachs N, Bambas A. Health disparities in Latin America and the Caribbean: the role of social and economic determinants. In: Equity and health: views from the Pan American Sanitary Bureau. Washington DC: PAHO; 2001. (Occasional Publication No. 8).
- Oficina Nacional de Estadísticas (ONE). Anuario estadístico de Cuba 2002; edición 2003. La Habana: ONE; 2003. Tabla II, 5: 66-69.
- Schneider MC. Métodos de medición de las desigualdades en salud. Rev Panam Salud Pública 2002;12:398-414.
- Susser M. Causal thinking in the health sciences: concepts and strategies of epidemiology. New York: Oxford University Press; 1973. p.60.
- Riley MW. Sociological research. Vol.1. New York: Harcourt, Brace, Jovanich; 1963. p. 700-738.
- Silva LC. Cultura estadística e investigación en el campo de la salud; una mirada crítica. Madrid: Editorial Díaz de Santos; 1996. p. 177.
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This paper was originally published in the Cuban journal Revista Cubana de Salud Publica, 31; 2: April-June, 2005. Reprinted by permission.
Acknowledgments
We thank Drs. Miguel Márquez and Francisco Rojas Ochoa for their collaboration in this paper, with regard to the project’s precursor in the proposal of Health Situation Surveillance System According to Living Conditions and a Project for Monitoring Equity and Health in Cuba proposed in the nineties. We also acknowledge the working group composed of Dr. Guillermo Mesa Ridel, Maritza Cedeño, BS, and Iraida Rodríguez, BS, later joined by Drs. Eduardo Zacca, Daniel Rodríguez Milord, Roberto González, Radamés Borroto and Pastor Castell-Florit. We are also grateful to Roberto González, BS, for his contribution to the design of a Geographically- Referenced Information System and Drs. María del Carmen Pria and Giselle Coutin, Angela Tuero, BS and Ana María Clúa, BS for their contributions to the section on the treatment of information in municipalities with small populations.
THE AUTHORS
Abelardo Ramírez Márquez, 2nd Degree Specialist in Health Organization and Management, was a professor at the Havana Higher Institute of Medical Sciences and the National School for Public Health. (Deceased)
Cándido M. López Pardo, Doctor of Health Sciences, Full Professor at the School of Economics, University of Havana; Visiting Professor, National School of Public Health
Appendix 1: Indicators to be Monitored According to Determinant Area
Area |
Indicator |
Source |
Health resources |
Per capita health expenditure assigned to polyclinics, and hygiene and epidemiology
centers (total of both)
Number of family doctors in the community per 1,000 inhabitants
Shortage of family doctor and nurse offices per 100 inhabitants
Number of nurses in primary care (except those in childcare centers, work
places and schools) per 100 inhabitants
Number of dentists per 100 inhabitants
Number of dental chairs per 100 inhabitants |
PHD |
Percentile 75 of the number of persons treated at the family doctor and nurse office |
MPH/DS |
Shortage of basic medicines in the main municipal pharmacy (%) |
PPOS |
Health services |
Number of cases seen (total, in office and house calls), by family doctor per 1,000
inhabitants
Home hospitalizations per 100 inhabitants |
PHD |
Social policy |
Number of places in homes for the elderly, seniors’ day homes, or semi-boarding
services per 100 inhabitants for persons 60 years or older
Number of the following services rendered per 100 disabled persons according
to type of disability:
Type of Disability/Service provided
Deafness/Hearing aid
Physical-motor/None
Lower limb prosthesis/Wheelchair
Mastectomy/Breast prosthesis
Percentage of elderly adults (60 years or older) in fragile condition (total and by sex)
Percentage of fragile elderly adults treated (total and by sex) |
MPH/NDCE
|
Economic resources |
Municipal budget per capita |
PDEP |
Mercantile production per capita
Total physically executed investment |
POS |
Work force |
Relation of dependency |
POS |
Resources for education |
Secondary school student/teacher ratio
Percentage of students in primary schools with classrooms of 20 students or fewer |
PDE |
Educational level
of the population |
Educational level of population under 14 years (global and by age groups:
6-11 year olds, 12-14 year olds) |
PDE |
Access to energy |
Percentage of houses with electricity |
POS |
Housing conditions |
Percent of houses according to technical conditions
Percent of houses according to type of rooms
Percent of houses according to type of construction |
PHOD |
Access to drinking-water |
Volume (m3) of water per inhabitant
Average time (hours/day) of water service |
PDAS |
Access to sanitation |
Percentage of population with access to a sewage system
Percentage of population using septic tanks and latrines |
PDAS |
Sports activity |
Number of persons systematically practicing sports per 100 inhabitants
(global and by sex) |
PSD |
Transportation |
Number of transportation means per inhabitant |
PTD |
Communications |
Telephone lines per 100 inhabitants |
ETECSA |
Resources for culture |
Number of inhabitants per public library |
DPC |
Number of inhabitants per community cultural center |
Access to culture |
Number of total activities in community cultural centers per 100,000 inhabitants |
Migration |
Net internal migration rate
Net external migration rate |
POS |
Marriage and divorce |
Divorce-marriage ratio |
Urbanization |
Percentage urban population |
Nutrition |
Percentage of malnourished children under 1 year old
Percentage of malnourished children from 1 to 4 years old
Percentage of children under 1 year old at risk for malnourishment
Percentage of pregnant women underweight at beginning of pregnancy
Percentage of pregnant women with anemia in third trimester of pregnancy
Percentage of elderly adults with chronic calorie deficiency |
PHD |
Environment |
Percentage of population with garbage collection services |
PDCS |
Birth rate and population |
Global fertility rate
Early fertility rate (15-19 year olds)
Percentage of population 60 years or older
Population density |
POS |
Legend: Abbreviations
PHD: Provincial Health Department
MPH: Ministry of Public Health
SD: Statistics Division
PPOS: Provincial Pharmacy and Optical Services
NDCE: National Department of Care for the Elderly
PDEP: Provincial Department of Economics and Planning
POS: Provincial Office of Statistics
PHOD: Provincial Housing Department
PDAS: Provincial Department of Aqueducts and Sewerage
PSD: Provincial Sports Department
PTD: Provincial Transportation Department
ETECSA: Cuban Telephone Company
PCD: Provincial Culture Department
PDCS: Provincial Department of Community Services
Appendix 2: Indicators of Health Status
Area |
Indicator |
Under 5 mortality |
Under 5mortality rate (global and by sex) |
Maternal mortality |
Number of maternal deaths (total, direct and indirect) |
Mortality and morbidity
due to specific causes |
Global mortality rate, by sex and age, adjusted mortality rate and
years of potential life lost due to the following causes: |
Communicable diseases |
Bronchial pneumonia and pneumonia < 5, = 60 |
Acute diarrhea < 5,≥ 60 |
Chronic diseases and adverse health effects |
Malignant breast tumor 25-39, 40-59, ≥ 60 |
Malignant uterine tumor 25-39, 40-59, ≥ 60 |
Malignant lung tumor 25-39, 40-59, ≥ 60 |
Malignant prostate tumor 40-59, ≥ 60 |
Malignant ileus and colon tumor 25-39, 40-59, ≥ 60 |
Ischemic cardiopathy 25-39, 40-59, ≥ 60 |
Traffic accidents < 5, 5-14, 15-24, 25-34, 35-44, 45-59, ≥ 60 |
Home accidents < 1, 1-4, 5-14, 15-49, 50-59, ≥ 60 |
Intentionally self-inflicted wounds 15-24, 25-39, 40-59, ≥ 60 |
Assaults 15-24, 25-39, 40-59, ≥ 60 |
Asthma < 15, 15-24, 25-39, 40-59, ≥60 |
Alcoholic cirrhosis 40-59, ≥ 60 |
Hip fracture ≥ 60 |
Incidence or prevalence rate by sex and age of the following: |
Communicable diseases |
HIV-AIDS 15-40 |
Acute diarrhea illnesses < 5 ≥ 60 |
Lung tuberculosis 15-59, ≥ 60 |
Gonorrhea 15-40 |
Syphilis 15-40 |
Scabies < 15 |
Pediculosis < 15 |
Chronic diseases and adverse health effects |
Intentionally self-inflicted wounds 15-24, 25-39, 40-59, ≥ 60 |
Nutritional status |
Low birth weight |
Disability |
Number of disabled persons per 1,000 inhabitants (total and by sex) |
Source: National Statistics Division, Ministry of Public Health |