Combination of conditional cash transfer program and environmental health interventions reduces child mortality: an ecological study of Brazilian municipalities

Table 1 Variables available in the information systems and availability period

Variables	Data source/information system	Period
Deaths for diarrhea^a (A00 – A04 and A06 – A09)^b and for malnutrition (E40 – E46)^b and number of children under the age of five	Mortality Information System (SIM) / Informatics Department of the Unified Health System (SUS) (DATASUS)	Years 2006 to 2016
Beneficiary families of the Bolsa Família Program (PBF)	Social Information Matrix (MIS) / Information Evaluation and Management Service (SAGI)	Years 2006 to 2016
Average size of beneficiary families	MIS / SAGI	Years 2007 and 2010
Families eligible for the Bolsa Família Program (PBF)	MIS / SAGI	Years 2006 to 2016
Number of households with coverage for water and sanitation services and number of municipal households	CENSO / IBGE	Years 2000 and 2010^c
Population exposed to solid waste collection and total municipal population	CENSO / IBGE	Years 2000 and 2010^c
Per capita monthly income	CENSO/IBGE	Years 2000 and 2010^c
Proportion of individuals without basic literacy among the population aged 15 and over	CENSO / IBGE	Years 2000 and 2010^c
Urbanization rate	IBGE	Years 2000 and 2010^c
Population served by primary care related to the Family Health Strategy (FHS) and total municipal population	Primary Care Information System (SIAB) / DATASUS	Years 2006 to 2016

^aOnly categories related to deaths due to diarrhea were also chosen, which were also classified as Diseases Related to Inadequate Environmental Sanitation (DRSAI) [46]. ^bInternational Statistical Classification Codes for Diseases and Health-Related Problems - 10th revision (CID-10). ^cFor variables with information only for the years related to the censuses, 2000 and 2010, interpolation (2006 to 2009) and linear extrapolation (2011 to 2016) methods were applied. For the income variable, due to its non-linear behavior [47], the variation of municipal Gross Domestic Product was used to predict the variation of municipal income and after this procedure, their values were corrected according to the Consumer Price Index Broad (IPCA)

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