Background:
Tuberculosis (TB) and depression are highly comorbid and linked
to higher rates of death and disability. Several evidence-based treatments for depression have
been successfully implemented in low- and middle-income countries, but more knowledge is
needed on how to bring these innovations to scale within complex ’real world’ public health
systems.
Objective:
To explore whether the principles of social network analysis could be used to
enhance receptivity to integrating depression treatment into primary care for individuals
with and without TB in Brazil.
Methods:
We used existing scales to identify settings and providers with high receptivity
and connectivity within the primary care network. We trained and supervised existing staff
in three primary care sites to deliver a brief evidence-based intervention over one year,
coupled with active dissemination activities. Afterwards, we reassessed receptivity among
individuals involved, and not involved, in the pilot.
Results:
Highly significant changes were observed in mental health literacy, attitudes towards
evidence-based practices, work self-efficacy, and implementation leadership supporting
our hypothesis. Limited social connections between primary care clinics precluded
the examination of the hypothesis that targeting settings with high connectivity could capitalize
on the information flow between and transcend the decentralized structure of the
network, but leveraging the centralized nature of the TB program to integrate mental health
services emerged as a promising alternative.
Conclusions:
The findings of this study strongly suggest that social networks may be leveraged
to change individual providers’ attitudes, thereby contributing to the enhanced dissemination
of evidence-based interventions.