| Literature DB >> 30795736 |
Wen Yan1,2, Qian Chen3, Xuemei Zhang2, Marko Elovainio4,5, Yan Huang2.
Abstract
BACKGROUND: The use of guidelines has shown to improve clinical practice process and structure of health care, but health care providers don't always use and keep up-to-date with the new clinical practice guidelines. Nurses' attitudes towards guidelines have shown to be the most frequently identified factor affecting their actual use of clinical practice guidelines, but no instruments for measuring it are available in China. There are scales validated in the western countries, but there is no information about their validity in Chinese health care. The purpose of this study is to test the validity and reliability of Chinese Attitudes towards guidelines - scale for nurses.Entities:
Keywords: Clinical; Guidelines; Psychometric properties; Quality; Survey
Mesh:
Year: 2019 PMID: 30795736 PMCID: PMC6387474 DOI: 10.1186/s12874-019-0682-3
Source DB: PubMed Journal: BMC Med Res Methodol ISSN: 1471-2288 Impact factor: 4.615
CFA Fit Indices for the 7-Factor Model for nurses’ attitudes towards guidelines (n = 768)
| Model a | χ2 b | DF b | CFI b | TLI b | SRMR b | RMSEA b | 95%CI |
|---|---|---|---|---|---|---|---|
| Model 1 | 422.618 | 56 | 0.930 | 0.887 | 0.094 | 0.092 | 0.084–0.101 |
aModel 1: according to the conceptual structure of the original version of the AGS
bχ2 = chi-square; DF Degrees of freedom, CFI Comparative fit index, TLI Tucker-Lewis index, SRMR Standardized root mean square residual, RMSEA Root mean square error of approximation
Fit indices for seven alternative models of Chinese Attitudes towards guidelines–scale (n = 380)
| models | χ2 | DF | CFI | TLI | RMSEA (90% CI) |
|---|---|---|---|---|---|
| 1-factor | 968.222 | 77 | 0.641 | 0.576 | 0.175 (0.165–0.184) |
| 2-factor | 349.652 | 64 | 0.885 | 0.836 | 0.108 (0.097–0.120) |
| 3-factor | 199.597 | 52 | 0.941 | 0.896 | 0.086 (0.074–0.099) |
| 4-factor | 117.201 | 41 | 0.969 | 0.932 | 0.070 (0.055–0.085) |
| 5-factor | 47.748 | 31 | 0.993 | 0.980 | 0.038 (0.013–0.058) |
| 6-factor | 18.073 | 22 | 1.000 | 1.007 | 0.000 (0.000–0.034) |
| 7-factor | 4.690 | 14 | 1.000 | 1.024 | 0.000 |
χ2 = chi-square; DF Degrees of freedom, CFI Comparative fit index, TLI Tucker-Lewis index, RMSEA Root mean square error of approximation
Geomin Rotated Factor Loadings for the Four-Factor Model Derived by EFA with the data of group A (n = 380)
| Items | Factor1 | Factor2 | Factor3 | Factor4 |
|---|---|---|---|---|
| 1. Guidelines are useful as educational tools. | 0.910* | − 0.056 | − 0.037 | 0.014 |
| 2. Guidelines are a convenient source of advice. | 0.940* | 0.003 | 0.007 | −0.022 |
| 3. Guidelines can facilitate communication with patients and families. | 0.734* | 0.176* | 0.040 | −0.060 |
| 4. Guidelines can improve the quality of health care. | 0.585* | 0.368* | −0.011 | 0.026 |
| 5. Guidelines are based on scientific evidence. | 0.161 | 0.766* | 0.010 | 0.000 |
| 6. Guidelines are made by experts. | −0.049 | 0.744* | −0.004 | − 0.015 |
| 7. My occupational competence is insufficient for adopting the latest guidelines. | 0.026 | 0.038 | 0.767* | −0.028 |
| 8. Most of our team members have disapproving attitudes about guidelines. | −0.106 | −0.058 | 0.697* | 0.074 |
| 9. Guidelines are not valued in our organization. | 0.272* | 0.217* | −0.114 | 0.206* |
| 10. Implementing guidelines is too expensive for us. | 0.018 | 0.016 | 0.348* | 0.489* |
| 11. Guidelines challenge the autonomy of nursing personnel. | 0.088 | 0.004 | 0.245* | 0.071 |
| 12. Guidelines oversimplify nursing practice. | 0.047 | 0.131 | 0.124 | 0.291* |
| 13. Guidelines are difficult to find if needed. | −0.011 | −0.092 | −0.011 | 0.850* |
| 14. I have not seen any guidelines in our health care unit. | −0.075 | 0.041 | 0.098 | 0.599* |
EFA Exploratory factor analysis; * significant at 5% level
CFA Fit Indices for the Four-Factor Model for nurses’ attitudes towards guidelines (n = 388)
| Model a | χ2 b | DF b | CFI b | TLI b | SRMR b | RMSEA b | 95%CI |
|---|---|---|---|---|---|---|---|
| Model 2 | 79.061 | 36 | 0.987 | 0.972 | 0.035 | 0.056 | 0.039–0.072 |
aModel 2: Items selected to load on CFA factors are based on the EFA with the data of group A loading with a cut-off of 0.45
bχ2 = chi-square; DF Degrees of freedom, CFI Comparative fit index, TLI Tucker-Lewis index, SRMR Standardized root mean square residual, RMSEA Root mean square error of approximation