Disability inclusion in the Brazilian health system: results of a health system assessment
Polack, S.; Delgado Ramos, V.; Sepulveda Koptcke, L.; de Araujo Morais, I.; Veloso de Albuquerque, M. S.; Reichenberger, V.; Scherer, N.; Kuper, H.; Maciel Lyra, T.; Moran de Brito, C. M.
Show abstract
BackgroundPeople with disabilities face more barriers accessing healthcare and, on average, experience worse health outcomes. Strengthening health access for people with disabilities requires coordinated action across the health system. The Missing Billion Inclusive Health System Framework is a new tool to support policy makers assess levels of disability inclusion within health systems. In this study we use the framework within the Unified Health System in Brazil. We consider the relevance and feasibility of the indicators, as part of further testing and refining the framework. MethodsInformation sources, used to complete the assessment, included Brazilian laws and policies, publically available data, published literature and interviews with people with disabilities and service providers. A workshop with stakeholders was held to co-develop key recommendations. FindingsOverall, the framework was comprehensive and feasible to complete. It highlighted key strengths in terms of disability inclusion in the Brazilian health system as well as gaps and leverage points for action. InterpretationThe Missing Billions framework can identify progress and opportunities to strengthen disability inclusion in health systems. In Brazil, key promotive factors include supportive policies, leadership and financing structures. There are also opportunities for strengthening data and evidence, healthcare worker training on disability and health service accessibility. Actions must be centered on, and informed by, people with disabilities. FundingThis work was supported by the Sao Paulo Research Foundation, Brazilian National Council for Scientific Technological Development, Federate District Research Foundation and the Medical Research Council. Hannah Kuper is supported by a NIHR Global Research Professorship.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Noncommunicable Diseases, Sociodemographic Vulnerability, and the Risk of Mortality in Hospitalized Children and Adolescents with COVID-19 in Brazil: A Syndemic in Play 93%
- Economic and social impacts of COVID-19 and public health measures: results from an anonymous online survey in Thailand, Malaysia, the United Kingdom, Italy and Slovenia 93%
- Experiences of Communities with Lebanon's Model of Care for Non-Communicable Diseases (NCD): A Cross-Sectional Household Survey from Greater Beirut 92%
Similar papers in this journal
- By the numbers and in their own words: A mixed methods study of unmet needs and humanitarian inclusion of older Syrian refugees in Lebanon 93%
- COVID-19 hospitalizations in Brazil's Unified Health System (SUS) 92%
- Experienced inclusion and recognition amongst people with spinal cord injury: A comparative study in Norway, The Netherlands, and Australia 92%
Similar papers in this journal
- A community developed conceptual model for reducing long-term health problems in children with intellectual disability in India 93%
- The impact of residency training in family medicine on hospital admissions due to Ambulatory-care Sensitive Conditions in Rio de Janeiro 93%
- Racism in public health authorities - a scoping review and situational analysis 92%
Similar papers in this journal
- Legal residency status and its relationship with health indicators among Syrian refugees in Lebanon: a nested cross-sectional study 91%
- The impact of the COVID-19 pandemic on health service utilisation in Sierra Leone 90%
- Public engagement and crowdfunding for health research: A global qualitative evidence synthesis and TDR pilot 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.