Actionable companion · Motivation & engagement
Learning with agency: Using Behavior Integration to Identify Barriers and Motivators for COVID-19 Vaccination and Build a Vaccine Demand and Confidence Strategy in Southeastern Europe
AI-assisted editorial implementation guide, separate from the original research. Proposed actions are not claims or recommendations attributed to the source authors. No independent peer review of this guide is asserted.
Evidence and context
Title and abstract screening; stage labels describe reported settings, not verified numerical ages. Design labels require full-text appraisal. Reported stage(s): Age / stage not established. Verify the participant population and task before transferring the findings.
Original authors’ abstract, reproduced under the linked source license:
Introduction. The COVID-19 pandemic has significantly impacted global health, with Eastern Europe experiencing notable excess morbidity and mortality and vaccine hesitancy. This study utilized the Behavior Integration (BI) framework to identify barriers and motivators for COVID-19 vaccination and develop strategies to increase vaccine demand and confidence in Moldova, North Macedonia, and Serbia. Methods. A mixed-methods approach was employed, including qualitative interviews and quantitative surveys. The BI framework was used to integrate human behaviors with technical and operational considerations throughout the project. Results. A total of 2742 online surveys were collected in Moldova and Serbia, revealing significant barriers such as vaccine safety concerns (OR = 1.839, 95% CI: 1.328–2.547 in urban Moldova; OR = 1.990, 95% CI: 1.351–2.931 in urban Serbia), logistical challenges, and lack of institutional trust. Conversely, motivators included personal health concerns, recommendations from health care providers, and the desire to travel. The proposed social and behavior change strategy included a continuing medical education course that trained 2403 medical providers, with post-test results showing a 99% improvement in knowledge and confidence in applying the information, and collective engagement workshops for 3260 chronic disease patients and 842 pregnant women, of which 7% were vaccinated against COVID-19. Conclusions. The BI approach effectively identified and addressed vaccination barriers and motivators, leading to tailored strategies that increased vaccine uptake. Continuous stakeholder engagement, adaptive learning processes, and local organizations are crucial for refining program implementation, ensuring sustainability, and promoting public health.
What kind of evidence is this?
Intelligent tutoring & adaptive learning · Comparative / pre-post study reported
Stage: Age / stage not established. Screening labels describe reported context and study-design language. They are not a risk-of-bias rating or proof of effectiveness for an age band.
Study methods · source passage
USAID’s Europe and Eurasia Regional Bureau asked the project to accelerate widespread and equitable access to and delivery of safe and effective COVID-19 vaccinations by increasing demand for and uptake of COVID-19 vaccination among priority populations in Moldova, North Macedonia, and Serbia. The project’s scope was the following: (1) increase demand for COVID-19 vaccination; (2) dispel myths and mis/disinformation; (3) implement behavior change interventions; and (4) share lessons and promising practices within and between Moldova, North Macedonia, and Serbia and across the region by using BI to develop tailored health professional capacity building and collective engagement (CE) programming in each country (although not part of project implementation, stakeholders from Bosnia and Herzegovina were included in the project’s regional learning exchanges).
Limitations and uncertainty · source passage
There are several obvious limitations to this study, mainly originating from the non-randomized and non-controlled characteristics of its design. The formative assessment from which this paper draws had varied timelines and was influenced by external variables (political situation, vaccine availability, changing COVID-19 landscape), and its varied methodologies were designed to answer specific programmatic questions rather than test a common hypothesis, limiting the ability to conduct a rigorous comparative analysis across all parameters. The effectiveness of the behavior change strategy could not be compared to populations that were not exposed to the project’s social and behavior change intervention. The outcomes of the intervention (commitment to make an appointment with the doctor, discuss COVID-19 vaccination, and get vaccinated) are self-reported but indicate that steps toward vaccination occurred. Finally, CME training and CE workshop feedback demonstrated rebuilt trust and a positive experience for all involved. Future research should focus on three key areas of improvement: (a) controlled comparative studies, such as randomized controlled trials, to rigorously evaluate the effectiveness of behavior change strategies; (b) longitudinal studies to assess the long-term impact of interventions, utilizing objective measures such as actual vaccination records; and (c) integration of adaptive learning in implementation, focusing on how iterative feedback and real-time adjustments to interventions can enhance the effectiveness of behavior change strategies.
Design the system before the pilot
Document the learner model, mastery rule, hint sequence and adaptation signal. Compare adaptive routing with the same content in a non-adaptive sequence. Check whether early errors lead to persistent low-expectation pathways.
- Measure engagement separately from achievement. Check whether novelty-driven participation persists and whether it translates to independent performance.
A 90-day district pilot
- Days 1–15 · Appraise. Have the curriculum lead and a teacher read the methods and limitations. Record the study design, sample, comparator, outcomes and evidence gaps. Define a local question that the study can help inform.
- Days 16–30 · Design. Treat the paper as background evidence until its population is verified in the full text. Do not assign an age-specific intervention or extend adult results to children. Name an accountable owner and set the baseline, success threshold and budget before implementation.
- Days 31–60 · Test. Start with a small voluntary cohort, preserve an accessible non-AI route and require teacher review. Use synthetic or de-identified examples; approve data handling and tool terms through district processes.
- Days 61–90 · Decide. Extract the participant ages or education stage, recruitment, task and comparator before selecting a local pilot. If these cannot be established, retain the paper for design discussion rather than age-band efficacy claims. Compare with baseline, document uncertainty and stop or revise if learning worsens, access is unequal or critical errors persist.
The board decision brief
Report the learning problem, evidence quality, participating population, total cost including review time, measured benefit, errors, access differences and remaining uncertainties. Make a dated recommendation to stop, revise or expand. A positive perception survey alone does not establish learning improvement.
Attribution and reuse
Stefan Mandić-Rajčević; Smiljana Cvjetković; Lisa Oot; Dalibor Tasevski; Ankita Meghani; Hannah Wallace; Tatiana Cotelnic; Dragoslav Popović; Elan Ebeling; Tonja Cullen Balogun; Lynne Cogswell. Using Behavior Integration to Identify Barriers and Motivators for COVID-19 Vaccination and Build a Vaccine Demand and Confidence Strategy in Southeastern Europe. Vaccines (2024-10-02). https://doi.org/10.3390/vaccines12101131
Companion prepared 2026-10-30. Original authorship and DOI are preserved. The abstract is an attributed source extract; the implementation plan is new AI-assisted editorial material, offered under the same CC BY 4.0 license. This guide has not undergone independent peer review.