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Health equity monitoring is essential in public health: lessons from Mozambique.
Llop-Gironés, Alba; Cash-Gibson, Lucinda; Chicumbe, Sergio; Alvarez, Francesc; Zahinos, Ivan; Mazive, Elisio; Benach, Joan.
Afiliação
  • Llop-Gironés A; Health Inequalities Research Group-Employment Conditions Network (GREDS-EMCONET), Universitat Pompeu Fabra, Barcelona, Spain. alballopgirones@gmail.com.
  • Cash-Gibson L; Johns Hopkins University University Pompeu Fabra Public Policy Center, Barcelona, Spain. alballopgirones@gmail.com.
  • Chicumbe S; GREDS-EMCONET, Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas 25-27, 08003, Barcelona, Spain. alballopgirones@gmail.com.
  • Alvarez F; Health Inequalities Research Group-Employment Conditions Network (GREDS-EMCONET), Universitat Pompeu Fabra, Barcelona, Spain.
  • Zahinos I; Johns Hopkins University University Pompeu Fabra Public Policy Center, Barcelona, Spain.
  • Mazive E; GREDS-EMCONET, Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas 25-27, 08003, Barcelona, Spain.
  • Benach J; National Institute of Health, Ministry of Health of Mozambique, Maputo, Mozambique.
Global Health ; 15(1): 67, 2019 12 18.
Article em En | MEDLINE | ID: mdl-31847863
ABSTRACT

BACKGROUND:

Countries must be able to describe and monitor their populations health and well-being needs in an attempt to understand and address them. The Sustainable Development Goals (SDGs) have re-emphasized the need to invest in comprehensive health information systems to monitor progress towards health equity; however, knowledge on the capacity of health information systems to be able do this, particularly in low-income countries, remains very limited. As a case study, we aimed to evaluate the current capacity of the national health information systems in Mozambique, and the available indicators to monitor health inequalities, in line with SDG 3 (Good Health and Well Being for All at All Ages).

METHODS:

A data source mapping of the health information system in Mozambique was conducted. We followed the World Health Organization's methodology of assessing data sources to evaluate the information available for every equity stratifier using a three-point scale 1 - information is available, 2 - need for more information, and 3 - an information gap. Also, for each indicator we estimated the national average inequality score.

RESULTS:

Eight data sources contain health information to measure and monitor progress towards health equity in line with the 27 SDG3 indicators. Seven indicators bear information with nationally funded data sources, ten with data sources externally funded, and ten indicators either lack information or it does not applicable for the matter of the study. None of the 27 indicators associated with SDG3 can be fully disaggregated by equity stratifiers; they either lack some information (15 indicators) or do not have information at all (nine indicators). The indicators that contain more information are related to maternal and child health.

CONCLUSIONS:

There are important information gaps in Mozambique's current national health information system which prevents it from being able to comprehensively measure and monitor health equity. Comprehensive national health information systems are an essential public health need. Significant policy and political challenges must also be addressed to ensure effective interventions and action towards health equity in the country.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 11_ODS3_cobertura_universal / 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Saúde Pública / Indicadores Básicos de Saúde / Equidade em Saúde / Sistemas de Informação em Saúde Tipo de estudo: Etiology_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality / Patient_preference Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Global Health Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 11_ODS3_cobertura_universal / 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Saúde Pública / Indicadores Básicos de Saúde / Equidade em Saúde / Sistemas de Informação em Saúde Tipo de estudo: Etiology_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality / Patient_preference Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Global Health Ano de publicação: 2019 Tipo de documento: Article