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Table 3 Example Monitoring Indicators for Data Collection, NIDI Study, 2013–2015

From: Using a monitoring and evaluation framework to improve study efficiency and quality during a prospective cohort study in infants receiving rotavirus vaccination in El Alto, Bolivia: the Infant Nutrition, Inflammation, and Diarrheal Illness (NIDI) study

Study Area Indicator Data Source for Indicatora Strategies Taken If Indicator Criteria Not Met (Examples)
Digit Preference (head circumference, weight, and height or length) Percent of measurements at each digit (0.0–0.9) between 8 and 12% Infant length, maternal height, and weight data - Re-training of interviewers
- Communication of finding in monthly meetings
Percent Missing Data (age, weight, height or length, and gender) No missing data Survey data - Explanation of importance of complete data collection
- Incentives for months with no missing data
Standard Deviation of Z-Scores (WLZ, LAZ, WAZ) LAZ: 1.10–1.30
WAZ: 1.00–1.20
WLZ: 0.85–1.10[53]
Infant length, maternal height, and weight data - Communication in monthly meetings
- Recognition of interview staff for meeting of goals
Discrepancies in calculated v. reported age (in days) Discrepancies ≥15 days flagged Survey data - Use of calculated age in analysis
- Implementing data check of surveys at data entry point
Age range for given visit, number of infants outside specified range 0 infants outside of specified range Survey data - Review of protocols for recruitment
- Reminder calls to mothers for visits
Referrals for stunting, wasting and those with ongoing diarrhea 100% of infants correctly referred Survey data; referral forms - Retraining on referral protocol
- Recognizing staff members in monthly meeting for correctly referring study participants
  1. aAll indicators were monitored on an ongoing basis and presented in a monthly report to Bolivia and Emory University staff