Model for decision making in dental care: description and testing of an intervention model at local level
Abstract Objective: To describe a model to analyze dental care in a local geographical location in order to facilitate decision making related to care, based on scientific evidence. Methodology: The methodology includes (a) model design (MI) and (b) its testing application in a municipality (capital...
Guardado en:
| Autores principales: | , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Escuela de Salud Pública y Ambiente. Fac. Cs. Médicas UNC
2015
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/RSD/article/view/11734 |
| Aporte de: |
| Sumario: | Abstract Objective: To describe a model to analyze dental care in a local geographical location in order to facilitate decision making related to care, based on scientific evidence. Methodology: The methodology includes (a) model design (MI) and (b) its testing application in a municipality (capital of the province). (a) The suggested model, built from a strategic approach, includes three stages (MM). MM1 (identifying) consists in the identification of problems through the collection of primary and secondary data. MM2 (analytic) related to the quantitative and qualitative analysis of the collected data. From the analyzed and prioritized information, the MM3 (propositive) makes recommendations in the social, legal-administrative, epidemiologic, perceptual and investigative areas. (b) The testing application of the model included the identification, analysis and prioritization of the problematic focuses arising from census data, statistics from health services and current programs. Data were processed with an explicative matrix and Hanton´s formula. A SWOT analysis (internal and external) made it possible to make suggestions and their potential transfer to health and education decisions. Results: (1) Testing the model in a local territory base (municipality) allowed the quick identification of problems in dental care and the integration of the collected information. (2) The model facilitated the translation of dental status into local reach health and educational activities, with possible impact on the health of the covered population. Conclusions: The MI can be applied in a short time and used to get timely information for decision making in a local area. |
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