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Table 1 Data management for outcome evaluation objectives

From: Understanding the implementation of Direct Health Facility Financing and its effect on health system performance in Tanzania: a non-controlled before and after mixed method study protocol

Specific objectives Variables Tools for data collection Analysis technique
Objective one Structural quality of maternal health 7 items observational checklist with a total score of 79
12 items observational checklist which assess number of attendances by patients who seek different health services (Service Utilisation)
Descriptive statistics (mean, standard deviation)
Cross tabulation to compare groups’ performance
Regression analysis for checking statistical significances among and between the participants
Paired sample t test for comparing means between the baseline and end-line surveys
Objective two Governance and accountability In-depth interview guide Thematic analysis
Objective three Health system responsiveness 37 questionnaire items divided into four groups:
Ordinal variables range 0 (never) to 3 (very often)
Ordinal variable ranging from 0 (very big problem) to 3 (no problem)
Ordinal variable ranging from 1 (waited for long time) to 4 (serviced instantly)
Ordinal ranging from 1 (strongly disagree) to 4 (strongly agree)
Descriptive statistics frequency of scores distribution and mean and standard deviation
Cross tabulation for checking differences of scores among the participants
Regression analysis for checking associations among the variables