Page 15 - Intuition, Imagination and Innovation in Suicidology Conference. 13th Triple i | Koper · Slovenia | 31 May–1 June 2022
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ationship between a National Cash Transfer 13th Triple i | Koper · Slovenia | 31 May–1 June 2022
Programme and Suicide Reduction:
A Quasi-Experimental Study
Invited lecture · Daiane Borges Machado
Dr. Daiane Borges Machado is a psychologist. She holds a Master’s degree in Col-
lective Health, and a PhD in Epidemiology & Global Mental Health from the Lon-
don School of Hygiene and Tropical Medicine, UK. She currently holds a research
associate position at CIDACS/FIOCRUZ (Center For The Integration Of Data And
Knowledge For Health), and a research fellow position at the Harvard Medical
School. She is also a member of The Lancet Commission for Suicide Prevention.
She has worked as a consultant for PAHO/WHO, a Mental Health Specialist for
NGOs, and also coordinated a NGO dedicated to suicide prevention in Brazil in
2014. Her research has been focused on understanding and evaluating the ef-
fects of social determinants, poverty-relief and mental health (MH) interventi-
ons on suicide in Brazil. Her current endeavour is applying quasi-experimental
impact evaluation methods for ‘big data’ on the evaluation of MH related out-
comes, including suicide, to support evidence-based policymaking. While there
is a long tradition of addressing mental illness with the exclusive use of clinical
treatment, her studies have demonstrated a significant association of MH pro-
blems with socioeconomic factors.
Abstract. Socioeconomic factors have been consistently associated with sui-
cide, and economic recessions are linked to rising suicide rates. However, evi-
dence on the impact of socioeconomic interventions to reduce suicide rates
is limited. This study investigates the association of the world‘s largest con-
ditional cash transfer programme with suicide rates in a cohort of half of the
Brazilian population. Methods and Findings: We used data from the 100 Milli-
on Brazilian Cohort, covering a 12-year period (2004 to 2015). It comprises so-
cioeconomic and demographic information on 114,008,317 individuals, linked
to the ‘Bolsa Família’ programme (BFP) payroll database, and nationwide de-
ath registration data. We estimated the association of BFP using inverse pro-
bability of treatment weighting, estimating the weights for BFP beneficiaries
(weight = 1) and non-beneficiaries by the inverse probability of receiving tre-
atment (weight = E(ps)/(1−E(ps)). We used an average treatment effect on the
treated (ATT) estimator and fitted Poisson models to estimate the incidence
https://doi.org/10.26493/978-961-293-184-1.5 15
Programme and Suicide Reduction:
A Quasi-Experimental Study
Invited lecture · Daiane Borges Machado
Dr. Daiane Borges Machado is a psychologist. She holds a Master’s degree in Col-
lective Health, and a PhD in Epidemiology & Global Mental Health from the Lon-
don School of Hygiene and Tropical Medicine, UK. She currently holds a research
associate position at CIDACS/FIOCRUZ (Center For The Integration Of Data And
Knowledge For Health), and a research fellow position at the Harvard Medical
School. She is also a member of The Lancet Commission for Suicide Prevention.
She has worked as a consultant for PAHO/WHO, a Mental Health Specialist for
NGOs, and also coordinated a NGO dedicated to suicide prevention in Brazil in
2014. Her research has been focused on understanding and evaluating the ef-
fects of social determinants, poverty-relief and mental health (MH) interventi-
ons on suicide in Brazil. Her current endeavour is applying quasi-experimental
impact evaluation methods for ‘big data’ on the evaluation of MH related out-
comes, including suicide, to support evidence-based policymaking. While there
is a long tradition of addressing mental illness with the exclusive use of clinical
treatment, her studies have demonstrated a significant association of MH pro-
blems with socioeconomic factors.
Abstract. Socioeconomic factors have been consistently associated with sui-
cide, and economic recessions are linked to rising suicide rates. However, evi-
dence on the impact of socioeconomic interventions to reduce suicide rates
is limited. This study investigates the association of the world‘s largest con-
ditional cash transfer programme with suicide rates in a cohort of half of the
Brazilian population. Methods and Findings: We used data from the 100 Milli-
on Brazilian Cohort, covering a 12-year period (2004 to 2015). It comprises so-
cioeconomic and demographic information on 114,008,317 individuals, linked
to the ‘Bolsa Família’ programme (BFP) payroll database, and nationwide de-
ath registration data. We estimated the association of BFP using inverse pro-
bability of treatment weighting, estimating the weights for BFP beneficiaries
(weight = 1) and non-beneficiaries by the inverse probability of receiving tre-
atment (weight = E(ps)/(1−E(ps)). We used an average treatment effect on the
treated (ATT) estimator and fitted Poisson models to estimate the incidence
https://doi.org/10.26493/978-961-293-184-1.5 15
