Assessing health system performance: effective coverage at the Mexican Institute of Social Security. 2019

Hannah H Leslie, and Svetlana V Doubova, and Ricardo Pérez-Cuevas
Department of Global Health and Population, Harvard TH Chan School of Public Health, 90 Smith Street, 3rd floor, Boston, MA, USA.

Universal health coverage is a national priority in Mexico, with active efforts to expand public healthcare system access, increase financial protection and improve quality of care. We estimated effective coverage of multiple conditions within the Mexican Institute of Social Security (IMSS), which covers 62 million individuals. We identified routinely collected performance indicators at IMSS from 2016 related to use and quality of care for conditions avertable with high-quality healthcare; where candidate indicators were available, we quantified need for service from a population-representative survey and calculated effective coverage as proportion of individuals in need who experience potential health gains. We assessed subnational inequality across 32 states, and we weighted conditions by relative contribution to national disease burden to estimate composite effective coverage. Conditions accounting for 51% of healthcare-avertable disability-adjusted life years lost in Mexico could be assessed: antenatal care, delivery care, newborn care, childhood diarrhoea, cardiovascular disease and diabetes. Estimated effective coverage ranged from a low of 27% for childhood diarrhoea to a high of 74% for newborn care. Substantial inequality in effective coverage existed between states, particularly for maternal and child conditions. Overall effective coverage of these six conditions in IMSS was 49% in 2016. Gaps in use and quality of care must be addressed to ensure good health for all in Mexico. Despite extensive monitoring of health status and services in Mexico, currently available data are inadequate to the task of fully and routinely assessing health system effective coverage. Leaders at IMSS and similar healthcare institutions must be more purposeful in planning the assessment of population need, utilization of care and quality impacts of care to enable linkage of these data and disaggregation by location or population sub-group. Only then can complex health systems be fairly and fully evaluated.

UI MeSH Term Description Entries
D007223 Infant A child between 1 and 23 months of age. Infants
D007231 Infant, Newborn An infant during the first 28 days after birth. Neonate,Newborns,Infants, Newborn,Neonates,Newborn,Newborn Infant,Newborn Infants
D008297 Male Males
D008800 Mexico A country in NORTH AMERICA, bordering the Caribbean Sea and the Gulf of Mexico, between BELIZE and the UNITED STATES, and bordering the North Pacific Ocean, between Guatemala and the UNITED STATES.
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011247 Pregnancy The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH. Gestation,Pregnancies
D011795 Surveys and Questionnaires Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions. Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D003920 Diabetes Mellitus A heterogeneous group of disorders characterized by HYPERGLYCEMIA and GLUCOSE INTOLERANCE.

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