BackgroundEffective implementation requires identifying and addressing behavioural barriers to uptake. This study aimed to compare data-driven and theory-driven approaches to understanding implementation issues. We used childhood vaccination coverage as a case study, with international relevance and wide-ranging barriers contributing to low vaccine uptake.MethodsThe study utilised the Behaviour Change Wheel framework, which incorporates both individual and system level barriers to behaviour, and is based on several levels of theory: the three components of the COM-B model (capability, opportunity and motivation) can be mapped to the 14 domains of the Theoretical Domains Framework (TDF), which is based on 84 underlying constructs. We first conducted a review of systematic reviews of parent-level barriers to childhood vaccination. Subsequently we: 1) inductively coded these barriers into a data-driven framework, using thematic analysis; and 2) conducted theory-driven mapping of these barriers to TDF domains and constructs. Coding and mapping were undertaken by two authors independently, and discrepancies were resolved through discussion. The data-driven and theory-driven results were compared.ResultsThe data-driven process coded 583 descriptions of barriers identified from the literature into a framework of 74 barriers in 6 categories. The initial definitions used to compare data-driven barriers with theory-driven domains/constructs led to 89% agreement at the domain level. Resolving discrepancies required further definitions at the construct level. Of the 14 TDF domains, 10 were clearly identified in the data from the barrier reviews. Some domains were not specific enough to differentiate between types of barriers (e.g. Environmental Context and Resources), while other domains were not represented in the review data (e.g. Behavioural Regulation).ConclusionsUsing both data- and theory-driven approaches can help achieve a more comprehensive understanding of barriers to health service implementation. The data-driven categories represented the review data in a clearer way than the theoretical domains, with better differentiation; but the missing domains were useful as a way to identify additional issues to investigate further. Both approaches resulted in a comprehensive list of barriers to vaccination that would not have been achieved using either approach alone. This will inform a diagnostic tool to measure the causes of under-vaccination.