Causal Relationship Model of Prevention and Control Service: Primary Care Unit in Public Health Region 3rd

Abstract

The purpose of this research was to analyze a Causal Relationship model of prevention and control service that influenced on prevention and control service of primary care unit in Public Health Region 3rd. The cross-sectional analytic study selected 267 public health officers who worked as a prevention and control service by simple random sampling. The data were collected by questionnaires. The latent variables consisted of the collaboration network, integration, and information technology, and the dependent variable was the service of prevention and control. The confirmatory factors were analyzed with AMOS. The research findings can be summarized as follows: The model is congruent with the evidence-based practice. The consideration was based on chi-square = 21.56, ϰ2/df = 0.86 and a probability value of 0..66 .Thus, it is evident that the chi-square value varied from zero with no statistical significance (GFI=0.98, AGFI= 0.96, SRMR = 0.04, RMSEA= 0.00). The weighted values of the factors were in the form of standard scores for the observed variables in the model for evaluating the service of prevention and control. In total, the positive values ranged from 0.76 to 0.96 with a statistical significance of 0.01. The latent variables had direct and indirectly influenced the service of prevention and control influence, information technology (0.39) integration (0.30) Collaboration Network (0.24), and the collaboration network (0.17). integration (0.15), respectively. All variables of the model could be used to explain the prevention and control service 72 percent. HCWs should focus on integrating and working with network partners in the local that had problems in concrete areas such as a guide, guideline, channels for coordination, adaptation of technology, had a central data center, connection and transfer data for improving the quality of life of the people.