Title |
Estratificação de municípios brasileiros para avaliação de desempenho em saúde
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Published in |
Epidemiologia e Serviços de Saúde, October 2016
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DOI | 10.5123/s1679-49742016000400010 |
Pubmed ID | |
Authors |
Maria Cristina Marino Calvo, Josimari Telino de Lacerda, Claudia Flemming Colussi, Ione Jayce Ceola Schneider, Thiago Augusto Hernandes Rocha |
Abstract |
to propose and present a stratification of Brazilian municipalities into homogeneous groups for evaluation studies of health management performance. this was a methodological study, with selected indicators which classify municipalities according to conditions that influence the health management and population size; data for the year 2010 were collected from demographic and health databases; correlation tests and factor analysis were used. seven strata were identified - Large-sized; Medium-sized with favorable, regular or unfavorable influences; and Small-sized with favorable, regular or unfavorable influences -; there was a concentration of municipalities with favorable influences in strata with better purchasing power and funding, as well as a concentration of municipalities with unfavorable influences in the North and Northeast regions. the proposed classification grouped similar municipalities regarding influential factors in health management, which allowed the identification of comparable groups of municipalities, setting up a consistent alternative to performance evaluation studies. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 80 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 19 | 24% |
Student > Doctoral Student | 13 | 16% |
Student > Bachelor | 7 | 9% |
Student > Ph. D. Student | 7 | 9% |
Professor | 5 | 6% |
Other | 4 | 5% |
Unknown | 25 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 16 | 20% |
Medicine and Dentistry | 9 | 11% |
Social Sciences | 8 | 10% |
Business, Management and Accounting | 6 | 8% |
Economics, Econometrics and Finance | 3 | 4% |
Other | 11 | 14% |
Unknown | 27 | 34% |