Background: Risk assessment criteria for predicting dengue outbreak must be appropriated at village levels. We aimed to develop risk dengue village prediction criteria, predict village dengue risk, and strengthen dengue prevention based on community participation. Methods: This participatory research conducted in Southern Thailand included the following 5 phases: (i) preparing communities in 3 districts; (ii) developing risk dengue village prediction criteria; (iii) applying computer program; (iv) predicting village dengue risk with 75 public health providers in 39 PCUs; and (v) utilizing findings to strengthen dengue prevention activities in 220 villages. Data collecting for prediction used secondary data from primary care units in the past 5 year and current year. Descriptive statistics used calculating criteria and comparing with standard level to adjust score of risk. Results: Risk dengue village assessment criteria had 2 aspects: dengue severity (3 factors) and dengue outbreak opportunity (3 factors). Total scores were 33 points and cut-off of 17 points for high and low dengue risks villages. All criteria were applied using computer program ( http://surat.denguelim.com ). Risk prediction involved stakeholder participation in 220 villages, and used for strengthening dengue prevention activities. The concept of integrated vector management included larval indices surveillance system, garbage management, larval indices level lower than the standard, community capacity activities for dengue prevention, and school-based dengue prevention. The risk prediction criteria and process mobilized villages for dengue prevention activities to decrease morbidity rate. Conclusion: Dengue risk assessment criteria were appropriated within the village, with its smallest unit, the household, included. The data can be utilized at village levels for evaluating dengue outbreak risks.
Background
Dengue has been an important health issue in southern Thailand. However, this area has only a surveillance-prevention system, without step-by-step guidelines on dengue treatment for patients admitted from households to primary care units (PCUs) and district hospitals. Therefore, this study were to develop and use a dengue patient care guideline (DPCG), and to evaluate knowledge, attitude, practice (KAP) of dengue patient care.
Methods
26 health care providers (13 nurses, and 13 public health officials) from eight PCUs and the district hospital developed the DPCG. The study design was based on the community participatory action research that integrated the Iowa model involving the following steps: preparation, guideline development, use and monitoring, evaluation and conclusion, and referring technology. We assessed the improvement between before and after using the DPCG regarding the participants' KAP on patient care and preparedness of equipment. McNamara's test was used to compare the changing results before and after using the DPCG. Qualitative data collection was performed in two meeting discussions with six open-end items. Using a thematic analysis technique, we extracted conclusions and suggested solutions.
Results
The guideline included four steps for patients' care provision at households, PCUs, outpatient departments, emergency rooms, and inpatient departments. After using the DPCG in 39 dengue patients of which 30 patients were admitted to the inpatient department
1
and two patients were referred to the tertiary care hospital without mortality. The overall participants' knowledge and attitude, two of six aspects of patients' care, and three of eight types of equipment management were significantly improved (
p
<
0.05)
. Eleven themes were evaluated which were associated with the quantitative data.
Conclusion
The DPCG instructed dengue patient's care for health care providers from households to the PCUs and district hospital. All participants improved KAP, and equipment management. Step-by-step of DPCG use and participation of all stakeholders are needed.
The purpose of this study was to evaluate the effects of developing and using a model to predict dengue risk in villages and of a larval indices surveillance system for 2372 households in 10 Thai villages. A community participatory action research method was used in five steps: (1) community preparation covering all stakeholders, (2) assessment of the understanding of a dengue solution and a larval indices surveillance system, (3) development of a prediction and intervention model for dengue risk villages, (4) implementation of the model that responds to all stakeholders, and (5) evaluation of the effects of using the model. The questionnaires to assess and evaluate were validated and reliability tested. The chi-square test and Fisher’s exact test were used to analyze the quantitative data collected by means of questionnaires. Thematic analysis was applied to the qualitative data collected through interviews. The results found that the model consisted of six main activities, including (1) setting team leader responsibility, (2) situation assessment, (3) prediction of the dengue risk in villages, (4) the six steps of the larval indices surveillance system, (5) the understanding of the dengue solution and the understanding of the larval indices surveillance system training program, and (6) local wisdom innovation. The effects of using the model showed a statistically significant increase in correct understanding among 932 family leaders, 109 village health volunteers, and 59 student leaders regarding dengue prevention and control (p < 0.05). The larval indices and dengue morbidity were diminished and related to the nine themes present in the community leaders’ reflections and to the satisfaction of the community members. Hence, local administrative organizations should use community-based approaches as the subdistrict dengue solution innovation to reduce the dengue problem.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.