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Composite Indices for measuring underlying constructs of attitudes towards analysis and use of vaccine-preventable disease (VPD) data |
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| Questions* |
Composite Index (Outcome indicator) |
Cronbach coefficient alpha (raw) |
Mean Score |
Standard deviation |
|
|
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| Subordinate health facilities and labs report their surveillance data in a timely manner. |
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| Reports submitted by subordinate health facilities are fully completed |
Perceptions of availability of quality VPD data |
0.75 |
2.82 |
0.67 |
| I have confidence that the surveillance data reported by subordinate health facilities are accurate |
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|
|
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| I possess sufficient skills to analyze and interpret surveillance data |
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| I feel fully capable of carrying out analysis of surveillance data |
Perceived capability to perform analysis of VPD data |
0.88 |
3.71 |
0.84 |
|
|
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| Epidemiological data are essential for providing effective surveillance of vaccine-preventable diseases in my rayon. |
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| Data from subordinate health facilities must be analyzed in order to be useful. |
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| I place great importance on providing feedback to subordinate health facilities based on the data that I routinely analyze. |
Perceived value of using analyzed VPD data for decision-making |
0.79 |
4.21 |
0.42 |
| Analysis of surveillance data is useful because it provides a basis for decision-making. |
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| It is important that decisions regarding prevention and control of infectious diseases be based on solid evidence. |
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Results based on baseline data pooled among intervention and control respondents (n = 42), with data imputed for non-response by taking the average value of the questions that were answered. *Likert scale responses at 5 levels (1–5) from strongly disagree to strongly agree. | ||||
Hotchkiss et al. BMC Public Health 2006 6:175 doi:10.1186/1471-2458-6-175 |
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