Modelo Predictivo De Datos Para Valoración De Salud Mental En La Coordinación Zonal 3 De Salud
The Zonal 3 Health Coordination has implemented a Community Mental Health (SMC) model integrated into primary health care (PHC) as a strategy. However, several limitations hinder the implementation of this strategy, such as insufficient funding, not having enough specialists in mental health, and th...
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| Autor principal: | |
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| Format: | bachelorThesis |
| Idioma: | spa |
| Publicat: |
2021
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| Matèries: | |
| Accés en línia: | http://dspace.unach.edu.ec/handle/51000/8349 |
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Afegir etiqueta | Sumari: | The Zonal 3 Health Coordination has implemented a Community Mental Health (SMC) model integrated into primary health care (PHC) as a strategy. However, several limitations hinder the implementation of this strategy, such as insufficient funding, not having enough specialists in mental health, and the current prevalence in the use of the biomedical model to evaluate leaving. On the one hand, many symptoms present in an individual. For this reason, the present research work focused on conducting a study to implement a Predictive Data Model for mental health assessment. This study can be used by the Zonal Coordination 3 of Health, to provide a contribution to the mental health of the patients treated in this Coordination. The information obtained through field research and sampling indicates that it has not yet been possible to implement a Predictive Data Model for mental health assessment, where individuals with a higher risk of presenting a mental illness can be identified and thus be able to carry out preventive interventions in possible cases. Thus, the resulting proposal is directed to the development of a Predictive Model of data for mental health assessment. To provide adequate medical treatment, reduce waiting times, and guarantee the proper use of material resources. For the elaboration of the model, a group of individuals residing in the city of Ambato was considered. Once the models were evaluated, an efficacy of 69.23% was obtained for anxiety disorder, 80% for stress disorder, and 72.73% in the model for depression disorder. The percentages are qualified as valid by the goodness test Chi square adjustment, with a Pearson significance level less than 0.05; This in the field of Psychology validates the model since it implies that a particular model can correctly predict the relationship between the variables with a minimum error. |
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