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Table 1 Composite Indices for measuring underlying constructs of attitudes towards analysis and use of vaccine-preventable disease (VPD) data

From: Health system barriers to strengthening vaccine-preventable disease surveillance and response in the context of decentralization: evidence from Georgia

Questions* Composite Index (Outcome indicator) Cronbach coefficient alpha (raw) Mean Score Standard deviation
Subordinate health facilities and labs report their surveillance data in a timely manner.     
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     
I possess sufficient skills to analyze and interpret surveillance data     
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
Epidemiological data are essential for providing effective surveillance of vaccine-preventable diseases in my rayon.     
Data from subordinate health facilities must be analyzed in order to be useful.     
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.     
It is important that decisions regarding prevention and control of infectious diseases be based on solid evidence.     
  1. 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.
  2. *Likert scale responses at 5 levels (1–5) from strongly disagree to strongly agree.