Generational Differences in Hospital Technology Adoption: A Cross-Sectional Study.
Background: The advancement of technological change within healthcare means that it is essential for nurses to have the necessary technological skills to deliver safe and efficient nursing care. Few studies have examined whether generational differences affect the adoption of technology within the h...
| Publicado en: | Nursing Leadership (1910-622X) Vol. 32; pp. 87 - 98 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Longwoods Publishing
2019 Special Issue
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136403655&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136403655 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1910622X B8WH jtl: Nursing Leadership (1910-622X) issn: 1910622X maglogo: N pubinfo: dt: 2019 Special Issue vid: 32 pid: 20495 pub: Longwoods Publishing place: Toronto, Ontario artinfo: ui: 136403655 136403655 136403655 136403655 ppf: 87 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Generational Differences in Hospital Technology Adoption: A Cross-Sectional Study. aug: au: Burkoski, Vanessa Yoon, Jennifer Hutchinson, Derek Hall, Trevor N. T. Solomon, Shirley Collins, Barbara E. affil: Chief Nursing Executive & Chief, People Strategy, Humber River Hospital, Toronto, ON sug: subj: Health Facility Administration Technology, Medical Intergenerational Relations Human Cross Sectional Studies Male Female Adult Middle Age Aged Aged, 80 and Over Nursing Skills Questionnaires Computer Literacy Multiple Linear Regression Employment Descriptive Statistics Job Experience Data Analysis Software Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Background: The advancement of technological change within healthcare means that it is essential for nurses to have the necessary technological skills to deliver safe and efficient nursing care. Few studies have examined whether generational differences affect the adoption of technology within the healthcare system. Aim: The primary purpose of this study was to explore predictors that influence the adoption of technology. Methods: In this cross-sectional study, nurses were asked to rate their level of competency on 20 key skills related to clinical technological devices (CTDs) in a self-administered questionnaire. Participants' demographic data and level of proficiency related to personal computer skills were also collected. Multiple linear regression analysis was used to examine whether demographic characteristics and personal computer skills predicted higher scores related to CTDs. Results: Sixty-three nurses completed the questionnaires. Overall mean score for skills related to CTD was high at 3.74 (SD = 0.75) out of 5. Length of employment at the hospital and previous exposure to the technology used at the hospital (β = 0.06, p = 0.021; β = 0.054, p = 0.011, respectively) were the only variables significantly associated with higher CTD skills scores. Generational cohort, gender, years of nursing experience and self-rated proficiency related to personal computer skills were not related to higher CTD skills scores. Conclusion: The results of this study emphasize that consistent exposure to technology enhances its adoption. Generational cohort did not play a role in the perception of nurses' technology competency at Humber River Hospital. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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