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Barriers To, And Facilitators Of, Research Utilization: A Survey Of Chengdu Registered Nurses Of General Tertiary-level Hospitals

Posted on:2008-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:L P WangFull Text:PDF
GTID:2144360218960297Subject:Nursing
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Aim1 To describe the barriers to, and facilitators of research utilization among registered nurses of tertiary-level general hospitals in Chengdu.2 To explore the factors which influence perceptions of the barriers to, and facilitators of research utilization of registered nurses of tertiary-level general hospitals in Chengdu.MethodsA survey design and a double cluster sampling method was used. The final sample consisted of 521 registered nurses of tertiary-level general hospitals in Chengdu. The Research Utilization Questionnaire modified by Prof Thompson in Chinese University of Hong Kong was used. All data was analyzed by SPSS11.5.Results1 Description of variables (1) There were 8 barrier items being identified as moderate or great barrier to research utilization by more than half of the participants, and 6 of the 8 items belong to the setting subscale.(2) 15.7% of the participants ranked "no authority to change procedures" as the greatest barrier to research utilization.(3) 13.4% of the participants ranked "no insufficient time to implement new ideas" as the second greatest barrier to research utilization.(4) 15.% of the participants ranked "difficulty to understand reports published in English" as the third greatest barrier to research utilization.(5) 36.9% of the participants ranked "enhancing managerial support" as the greatest facilitator to research utilization.(6) 21.1% of the participants ranked "advancing education to increase knowledge base" as the second greatest facilitator to research utilization.(7) 17.5% of the participants ranked "increasing time for reviewing and implementing research" as the third greatest facilitator to research utilization.2 Comparison of variables(1) Rank transformation test reveals that there was a significant difference(F=47.004, P=0. 000) among scores of subscale. The scores of setting subscale was higher than it of presentation, research and nurse subscale. The scores of presentation and research subscale were both higher than it of nurse subscale.(2) Rank transformation test reveals that there was a significant difference among subscale scores of participants from different hospitals, including setting(F=4.944, P=0.007), presentation (F=4.014, P=0.019), barrier scale(F=3.021, P=0.050) and facilitator scale(F=3.382, P=0.035). Subscale scores of participants from C hospital were higher than it of participants from A hospital.(3) Rank transformation test reveals that there was no significant difference among scores of participants of different range ages (<25,25-30,31-44,>44).(4) Rank transformation test reveals that there was a significant difference among subscale scores of participants with different educational levels, including nurse(F=3.312, P=0.037) and presentation(F=3.193, P=0.042). Presentation subscale scores of participants with certificate degree was higher than it of participants with bachelor degree.(5) Rank transformation test reveals that there was no significant difference among scores of participants with different years of working experience (≤3,4-5,6-10,>10).(6) Rank transformation test reveals that there was no significant difference among scores of participants with different posts.(7) Rank transformation test reveals that there was no significant difference among scores of participants with different ranks.(8) Rank transformation test reveals that there was a significant difference between scores of presentation subscale (F=24.999, P=0.000) and barrier scale(F=7.024, P=0.008) of participants with research experience and participants with no research experience. Scores of participants with no research experience was higher than it of participants with research experience.(9) Rank transformation test reveals that there was a significant difference between scores of subscale of seeting(F=5.170, P=0.023) and presentation(F=11.678, P=0.001) of participants with evidence-based on-job education and participants with no evidence-based on-job education. Scores of participants with no evidence-based on-job education was higher than it of participants with evidence-based on-job education.3 Correlation of variablesSpearman correlation test reveals that educational level was significantly correlated with scores of subscale, including presentation(R=-0.101, P<0.05), nurse(R=-0.089, P<0.05) and barrier scale(R=-0.091, P<0.05).4 Multiple regression analysis(1) Multiple regression analysis results indicated that factors significantly influencing the score of setting subscale were sex, evidence-based on-job education and hospital.(2) Multiple regression analysis results indicated that factors significantly influencing score of presentation subscale were sex, research experience and evidence-based on-job education.(3) Multiple regression analysis results reveals that there was no factor significantly influencing the score of research subscale.(4) Multiple regression analysis results indicated that factors significantly influencing the score of nurse subscale were sex and educational level. (5) Multiple regression analysis results indicated that factors significantly influencing the score of barrier scale were sex, research experience and hospital.(6) Multiple regression analysis results indicated that factor significantly influencing the score of facilitator scale was hospital.Conclusion(1) The barriers of setting subscale have greater influence on research utilization more than barriers of other subscales.(2) "No authority to change procedures" is perceived as the greatest barrier to research utilization by nurses of tertiary-level general hospitals in Chengdu, "No insufficient time to implement new ideas" is perceived as the second greatest barrier, and "Difficulty to understand reports published in English" as the third greatest barrier.(3) "Enhancing managerial support" is perceived as the greatest facilitator to research utilization by nurses of tertiary-level general hospitals in Chengdu, and "Advancing education to increase knowledge base" as the second greatest facilitator, "Increasing time for reviewing and implementing research" as the third greatest facilitator.(4) Sex, hospital, research experience, evidence-based on-job education and educational level are factors with significant influence on nurses'perceptions of barriers to, and facilitators of research utilization.
Keywords/Search Tags:Nurse, Research Utilization, Barrier, Facilitator
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