Nursing informatics competence profiles and perceptions of health information system usefulness among registered nurses: A latent profile analysis

AIMS

To identify different nursing informatics competence (NIC) profiles in nurses, examine the factors associated with profile memberships and examine the associations of the derived profiles with the nurses' perception of the usefulness of a health information system (HIS).

DESIGN

A cross-sectional study.

METHODS

A sample of 3610 registered nurses responded to a nationwide survey in March 2020. A latent profile analysis was performed to identify NIC profiles based on three competence areas: nursing documentation, working in digital environment, and ethics and data protection. A multinomial logistic regression was carried out to examine the associations of demographic and background variables with the profile membership. Linear regression analyses were carried out to examine the association between the profile membership and perceived HIS usefulness.

RESULTS

Three NIC profiles were identified and labelled as low, moderate and high competence groups. A younger age, recent graduation year, sufficient orientation and high-rated proficiency as an HIS user were associated with nurses belonging to a high or moderate competence group relative to a low competence group. Competence group membership was associated with perceived HIS usefulness. The high competence group consistently expressed the highest usefulness of the HIS and the low competence group the lowest.

CONCLUSION

Tailored training and support should be provided for nurses with different levels of informatics competence, thereby facilitating their ability to respond to increasingly digitalized work. This could contribute to higher usefulness of the HIS in terms of supporting the nurses' work tasks and promoting the quality of care.

IMPACT

This was the first study exploring latent profiles of informatics competence in nurses. Insights from this study are useful for nursing management to identify different competence profiles of their employees, provide support and training to meet their needs, and promote the successful use of an HIS.

Psychometric assessment of organizational readiness scale for digital innovations and antecedents of organizational readiness

BACKGROUND: This article aims to perform a psychometric assessment of the scale of organizational readiness for digital innovations in a transition economy and to examine the antecedents of organizational readiness for digital innovations. METHODOLOGY: The study employed a quantitative research method to analyze data collected from a sample of 1236 health professionals. The scale secondary confirmatory factor and linear regression analysis were employed to verify organizational readiness and test the respective hypotheses about organizational readiness for digital innovation, respectively. RESULTS/CONCLUSIONS: The research findings show that the organizational readiness scale for digital innovations is valid and reliable in transition economies. Findings show that the relationship between variables such as adaptation of human resources (AHR), cognitive readiness (COR), planning for new telehealth and e-health (PNTH), IT readiness (ITR), resource readiness (RR), partnership readiness (PR), and cultural readiness (CUR) are correlated with the innovations implementation effectiveness (IIE), and organizational readiness for digital innovation is positive statistically significant. Findings also suggest that Integration of old technologies (IoT) and organizational readiness for digital innovation is statistically significant and have negative relationship.