METHODS: We followed the guidelines suggested by Whetten for constructing a theoretical model for framework development. There were four phases in the model development. In the first phase, different literature review methods were used, and additional students' perspectives were collected through focus group discussions. Then, using the data, we constructed the theoretical model in the second phase. In the third phase, we validated the newly developed model and its related guidelines. Finally, we performed response process validation of the model with a group of medical teachers.
RESULTS: The developed systematic assessment resilience framework (SAR) promotes four constructs: self-control, management, engagement, and growth, through five phases of assessment: assessment experience, assessment direction, assessment preparation, examiner focus, and student reflection. Each phase contains a number of practical guidelines to promote resilience. We rigorously triangulated each approach with its theoretical foundations and evaluated it on the basis of its content and process. The model showed high levels of content and face validity.
CONCLUSIONS: The SAR model offers a novel guideline for fostering resilience through assessment planning and practice. It includes a number of attainable and practical guidelines for enhancing resilience. In addition, it opens a new horizon for HPE students' future use of this framework in the new normal condition (post COVID 19).
METHOD: This research is a quasi-experimental design with a pre-post without control research approach. The research population covers all students registered joining OTOF CIPIPEC at Poltekkes Kemenkes Surakarta with a total number of 1061 of students. The samples are collected using a total sampling technique. The samples for this research are those registered joining the OTOF CIPIPEC at Poltekkes Kemenkes Surakarta meeting the inclusion and exclusion criteria with a total number of 1031 of students. This research utilizes the Readiness for Interprofessional Learning Scale (RIPLS) questionnaires as its measuring instruments. This study was conducted in Mojosongo sub-district, Jebres district, Surakarta. This research involves 38 Community Units (In Indonesia known as Rukun Warga/RW) with a total number of 1066 of family heads and the Sibela Community Health Center. The data are analyzed using the Wilcoxon test and multiple linear regression test.
RESULT OF THE STUDY: The research results showed that there is a significant difference of readiness improvement, teamwork, and perception on other professions and satisfaction of the research subjects before and after joining OTOF-CIPIPEC (ρ<0.001). The average improvement scores of students' readiness, teamwork, perception, and satisfaction are 63.2%, 62.5%, 62.57%, and 113.04% respectively. The results of the multivariate analysis show that teamwork and perception significantly influence the students' readiness in their collaboration with the other professions (ρ<0.001) with the influence value of 0.93%.
CONCLUSION: This research concludes that OTOF-CIPIPEC implementation may improve readiness, teamwork, and perception of other professions and students' satisfaction in interprofessional education (IPE).
Methods: The study took place in the agricultural setting of Nigeria Edu local government (9° N, 4.9° E) between March 2016 and December 2018. A pre-tested structured questionnaire was administered to obtain information on their occupation and malaria infection. Infection status was confirmed with blood film and microscopic diagnosis of Plasmodium falciparum was based on the presence of ring form or any other blood stages. Individuals who are either critically ill or lived in the community less than 3 months were excluded from the study.
Results: Of the 341 volunteers, 58.1% (52.9% in Shigo and 61.4% in Sista) were infected (parasitaemia density of 1243.7 parasites/μL blood). The prevalence and intensity of infection were higher among farmers (71.3%, 1922.9 parasites/μL blood, P = 0.005), particularly among rice farmers (2991.6 parasites/μL blood) compared to non-farmer participants. The occurrence and parasite density follow the same pattern for sex and age (P < 0.05). Children in the age of 6 to 10 years (AOR: 2.168, CI: 1.63-2.19) and ≥ 11 years (AOR: 3.750, CI: 2.85-3.80) groups were two-and four-fold more likely to be infected with malaria. The analysis revealed that the proximity of bush and stagnant water to the farmer (73.9%, AOR: 3.242, CI: 2.57-3.61) and non-farmer (38.1%, AOR: 1.362, CI: 1.25-1.41) habitations influence malaria transmission.
Conclusion: This study highlights farming activities as a risk factor for malaria infection in agro-communities. Integrated malaria control measures in agricultural communities should therefore include water and environmental management practices.