Development and Psychometric of Assessment Tools of Supportive Supervision from the Perspective of Health Workers and Supervisors

Abstract:
Background And Objectives
The world Health Organization’s publications show the important role of supportive supervision to improve the effectiveness of health service delivery. There is no specific tool to assess the supervision status generally and supportive supervision specifically in primary health care system in Iran. This study aimed to develop and do the psychometric of a tool to assess supportive supervision status from the perspective of health workers and supervisors.
Materials And Methods
the plesent study is a cross- sectional study After reviewing scientific international documents about supportive supervision, and regarding Iran’s health system context, a question bank was made including 41 questions for health workers tool, and 33 questions for supervisors. Face and content validity were determined for these tools. For face validity, the questionnaires were evaluated by 10 experts considering difficulty level, appropriateness and ambiguity of questions. Both quality and quantity methods were used to evaluate content validity of tools. The quantity method was conducted by Content Validity Ratio and Content Validity Index. Cornbrash’s Alpha coefficients and test-retest methods using Pearson’s Correlation Coefficient were used to assess the reliability of the questionnaires.
Results
After completing validity and reliability tests, the health workers and supervisors tools had 30 and 32 questions, respectively. Cornbrash’s Alpha coefficients for these two questionnaires were 0.89 and 0.94. Pearson’s test was conducted to assess the correlation between test and retest. Pearson’s Correlation coefficient for health workers’ questionnaire was 0.78, and it was 0.95 for health supervisors (p=0.001).
Conclusion
According to the appropriate level of validity and reliability of these tools, we can use them to assess the various aspects of supportive supervision in primary health systems.
Language:
Persian
Published:
Journal of Rafsanjan University Of Medical Sciences, Volume:14 Issue: 12, 2016
Pages:
1001 to 1014
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