Development of Interpersonal Soft Skills Learning Model Based TLTD to Improve Hospital Nurse’s Competency in Timor-Leste: A Cross- Sectional Study
Journal Title: Nursing & Healthcare International Journal - Year 2024, Vol 8, Issue 1
Abstract
Introduction and Purpose: Nurses are expected to be competent in practice based on the domain of standards and interpersonal soft skills (ISS). Nurses are faced with inadequate physical assessment 28%, formulating diagnoses 56%, plans 34%, implementation 31%, and evaluation 37.5%, and communication skills 41%. Aims to develop an ISS learning model based on transformative learning theory and digitalization (TLTD) to improve nurses’ competencies. Method: Used Explanatory cross-sectional involved 190 practitioner nurses. Variables of individual characters (X1), facilities (X2), Social environment support/SES (X3), TLTD (X4), ISS (X5), and nursing competencies (Y) were measured. Data was collected using a checklist questionnaire, conducted on 6 June to 10 August 2022 at Dili, Baucau, and Maliana hospitals. Used descriptive and inferential analysis with SEM-PLS. Results: Five of the 11 hypotheses of statistical p-value < 0,05 and T-Test > 1,96, including X2>X4, X3>X5, X4>X5, and X5>y, to form ISS learning model. The characteristic of respondents were 81,8% young adults, 67.9% women, 57.8% undergraduates, judging the previous training 35% was unsuccessful, and 45.8% did not meet expectations. Learning facilities that are still lacking include policies 23.7%, curriculum 23.4%, guideline 22.7%, modules 27.9%, infrastructure 20.3%, social environment support 24.2% low, organizational support, 30.0% low peer support and 26.3% low family support. The average TLTD is 25.3% to 34.2%, ISS 22.1% to 30.5%, and nurse competence 25.3% to 30.5%. Suggestion: Result of the study become base to improve nurse’s competencies. Conclusion: Learning model was formed by facilities, SES, TLTD, ISS, and nurses’ competencies.
Authors and Affiliations
Soares D1*, Nursalam2, Efendi F3, Yusuf A2, Sukartini T2, Triharini M3, Martins N4, Sriyono3 and Ahsan4
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