Building community resilience to covid-19: an interprofessional collaborative model
Dublin Core
Title
Building community resilience to covid-19: an interprofessional collaborative model
Subject
community health planning, covid-19, health knowledge, interprofessional relations, patient compliance,
resilience
resilience
Description
Introduction: Coronavirus Disease 2019 (COVID-19) is a significant global health issue, requiring vigilance and
adherence to health protocols to prevent transmission. This study aimed to develop an interprofessional collaborative
model based on community sectoral coordination.
Methods: A mixed-methods explanatory research design was employed, involving 934 respondents selected through
convenience sampling. The research instrument was a modified version of a validated and reliable questionnaire
covering interprofessional collaboration, community health nursing, alertness, compliance, and resilience. The data was
analyzed using Partial Least Squares (PLS) to test the model's fit and predictive relevance.
Results: The coefficient of determination (R2) was 0.772, indicating that 77.2% of the variance in interprofessional
collaborative community sectoral coordination could be explained by individual, team, task, and work structure
characteristics, as well as community leaders and cross-sectoral factors. The remaining 22.8% was attributed to other
variables not included in this study. The Predictive Relevance (Q2) value was greater than 0, suggesting that the model
was adequately predictive. Significance testing showed that the exogenous variables had a significant impact on
endogenous variables with a total T-statistics value of 1.96 or P value <0.05.
Conclusions: The developed interprofessional collaborative model based on community sectoral coordination
significantly enhances community alertness, compliance, and resilience, contributing to the achievement of COVID-19
herd immunity.
adherence to health protocols to prevent transmission. This study aimed to develop an interprofessional collaborative
model based on community sectoral coordination.
Methods: A mixed-methods explanatory research design was employed, involving 934 respondents selected through
convenience sampling. The research instrument was a modified version of a validated and reliable questionnaire
covering interprofessional collaboration, community health nursing, alertness, compliance, and resilience. The data was
analyzed using Partial Least Squares (PLS) to test the model's fit and predictive relevance.
Results: The coefficient of determination (R2) was 0.772, indicating that 77.2% of the variance in interprofessional
collaborative community sectoral coordination could be explained by individual, team, task, and work structure
characteristics, as well as community leaders and cross-sectoral factors. The remaining 22.8% was attributed to other
variables not included in this study. The Predictive Relevance (Q2) value was greater than 0, suggesting that the model
was adequately predictive. Significance testing showed that the exogenous variables had a significant impact on
endogenous variables with a total T-statistics value of 1.96 or P value <0.05.
Conclusions: The developed interprofessional collaborative model based on community sectoral coordination
significantly enhances community alertness, compliance, and resilience, contributing to the achievement of COVID-19
herd immunity.
Creator
Nursalam Nursalam1* , Elsi Dwi Hapsari2
, Setiawan Setiawan3
, Diah Priyantini4
, and Rifky
Octavia Pradipta1
, Setiawan Setiawan3
, Diah Priyantini4
, and Rifky
Octavia Pradipta1
Source
http://dx.doi.org/10.20473/jn.v20i1.57229
Date
4 January 2025
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Nursalam Nursalam1* , Elsi Dwi Hapsari2
, Setiawan Setiawan3
, Diah Priyantini4
, and Rifky
Octavia Pradipta1, “Building community resilience to covid-19: an interprofessional collaborative model,” Repository Horizon University Indonesia, accessed February 21, 2026, https://repository.horizon.ac.id/items/show/11122.