Development of Quality Nursing Care Scale in Mongolia
The demand for quality nursing care (QNC) is high, but there is much debate among nursing professionals and policy makers about how it can be measured. This study aimed to determine essential components for the Quality Nursing Care Scale (QNCS) and to test the psychometric properties of this newly d...
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Format: | Theses and Dissertations |
Language: | English |
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เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่
2020
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Online Access: | http://cmuir.cmu.ac.th/jspui/handle/6653943832/69510 |
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Institution: | Chiang Mai University |
Language: | English |
Summary: | The demand for quality nursing care (QNC) is high, but there is much debate among nursing professionals and policy makers about how it can be measured. This study aimed to determine essential components for the Quality Nursing Care Scale (QNCS) and to test the psychometric properties of this newly developed QNC instrument. The conceptual framework of QNC was derived from an existing definition provided by Kunaviktikul et al. (2001).
A developmental research design was used for the study and involved two phases with seven steps (DeVellis, 2012). The researcher determined the components of QNCS through a qualitative study along with a comprehensive literature review. Participants were chosen from Mongolian public hospitals, and in-depth interviews were conducted with 21 nurses and 18 patients participated in focus group discussions. Data were analyzed using content analysis. The operational definitions of each dimension of QNC were established and item pool development of 66 items formed the newly developed QNCS using a five-point Likert-type scale format. The content validity was .92 as confirmed by seven experts. The Cronbach alpha coefficient of the overall QNCS for the pretest was .94. Construct validity was tested with 440 nurses in Mongolia using exploratory factor analysis. A total of 36 items with six facets for the final scale related to the original QNC framework (eigenvalues ranged from 9.86 to 1.17; total variance was 55.41% and factor loadings ranged from .48 to .80). After factor analysis, the Cronbach alpha coefficient of QNCS was .92 and for the test-retest reliability was .93. The concurrent validity test was conducted with 54 registered nurses who are working in three hospitals. The Spearman rank-order correlation showed that there were significant positive relationships (0.28) between QNCS and the Quality Nursing Care Questionnaire-Registered Nurses as perceived by nurses at a significance level of 0.03.
The newly developed QNCS demonstrated sufficient psychometric properties. However, further research with nurses from different settings should be conducted in other countries with a similar healthcare system to Mongolia. |
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