Data use for immunisation decision-making and the role of an electronic immunisation register in Vanuatu
摘要
Electronic immunisation registers (EIRs) can strengthen immunisation programs by increasing access to rich data for policy-making. In Vanuatu, an EIR was introduced for COVID-19 vaccination, while longstanding paper-based systems are used for routine immunisation. We examined data use from paper-based systems for routine immunisation and with an EIR for COVID-19 vaccination in Vanuatu, and identified factors influencing data use.
MethodsWe conducted a qualitative study, interviewing 16 key informants working within the Vanuatu Ministry of Health (n = 11) and international development agencies (n = 5). We thematically identified data use actions and factors determining data use with the Performance of Routine Information System Management framework. We verified findings through document review and quality assessment of EIR data.
ResultsRoutine immunisation coverage data were used to identify coverage gaps, but used inconsistently in planning service delivery or strategic decision-making. In contrast, decision-makers used COVID-19 vaccination coverage data regularly to monitor and plan program rollout, allocate resources, and assess adverse events following immunisation. The EIR streamlined data processes, allowing data to be entered, analysed and shared at a faster pace. Barriers to using routine immunisation data included inadequate data management processes, minimal performance feedback, lack of data use culture, poor data literacy and workers’ heavy workload. For COVID-19 vaccination, EIR data use was enabled by increased resources, greater demand and accountability for data, and urgency to achieve high COVID-19 vaccination coverage during the pandemic.
ConclusionsThe increased resourcing, emergency context and focus on COVID-19 fostered an environment for greater data use. While the EIR enabled rapid access to data, health leadership, regular feedback and accountability to achieve targets were necessary to increase data use in decision-making.