Rehabilitation Workforce in Brazil's Health Care Network, 2007-2015
by Carolina Hart Rodés / Universidade de São Paulo
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Description
Carolina Hart Rodés from Universidade de São Paulo created a dataset analyzing the distribution of rehabilitation professionals in Brazil's Health Care Network from 2007 to 2015. The data estimates monthly trends for speech, physical, and occupational therapists across primary, medium, and high complexity services using the Brazilian National Register of Health Establishments. It also includes qualitative insights from interviews with 12 professionals regarding Extended Clinical Care, Singular Therapeutic Project, and Matrix Support practices.
Use Cases
Analyzing trends in rehabilitation professional availability based on the monthly trend data from 2007 to 2015.
Comparing the concentration of speech, physical, and occupational therapists across different healthcare service complexities mentioned in the description.
Studying the implementation of Extended Clinical Care, Singular Therapeutic Project, and Matrix Support practices based on the qualitative interview data.
Assessing regional disparities in healthcare access by comparing professional availability in São Paulo city versus the broader state.
Strengths
Covers a defined 9-year time range from 2007 to 2015.
Includes data on three distinct professional groups: speech therapists, physical therapists, and occupational therapists.
Combines quantitative registry data with qualitative insights from interviews with 12 professionals.
Limitations
Row count and specific column-level documentation are absent; field semantics must be inferred after download.
Last update date is unknown; freshness unverified.
Data may reflect geographic bias inherent to the focus on Brazil and specific analysis of São Paulo city.
Provenance
Source
Universidade de São Paulo, using the Brazilian National Register of Health Establishments (CNES/NRHE).
Collection Method
Data gathered from the national health establishment registry and interviews with professionals; monthly trends analyzed via Prais-Winsten linear regression models.
Time Range
2007 to 2015
Geography
Brazil, with specific analysis for São Paulo city and state.
License is listed as Open Access (green), but specific terms are not detailed.