DECIDE, A Pregnancy-specific Patient-provider Communication Approach: Multi-method and Codesign
Bibliographic record
Abstract
BACKGROUND: Vaccination in pregnancy is recommended for preventing maternal and infant morbidity, but uptake is low. Existing presumptive and participatory vaccine communication approaches for childhood vaccinations may not encompass the nuanced decision-making during pregnancy. METHODS: We employed a multi-method study using the double diamond design framework to codesign a pregnancy-specific, person-centered communication approach. Key activities of each double diamond phase are listed below:Discover: Conducted a scoping review, a survey assessing psychological antecedents of (n = 237) pregnant or lactating individuals, qualitative interviews with (n = 169) patients and (n = 47) healthcare providers (HCPs) and gathered insights through (n = 20) community outreach events to understand the problem.Define: Synthesized findings through thematic analysis and key informant interviews, to validate our understanding of the problem.Develop: Prototyped solutions through role-playing, iterative feedback with patient partners and HCPs, and qualitative inquiry into parental preferences.Deliver: Finalized the communication approach after iterative usability testing with (n = 15) HCPs and feedback-driven refinement with (n = 9) patient partners. RESULTS: We confirmed the need for a pregnancy-specific communication approach and identified key gaps. We then built a prototype where perinatal HCPs could use either a presumptive if acceptant or participatory if hesitant approach but questioned the applicability of vaccine hesitancy to pregnancy. We abandoned a solely presumptive approach given parental insights: it is normal to "question" during pregnancy and developed a balanced approach. The final DECIDE (determine, elicit, consent, interactive discussion, deliver, empower) communication approach balances shared decision-making with a clear recommendation. It addresses pregnant individuals' desire for autonomy and support, and HCPs call for simple tools to improve their confidence and communication skills without alienating their patients. CONCLUSION AND NEXT STEPS: DECIDE is a pregnancy-specific vaccine communication approach potentially applicable to other interventions beyond vaccination.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.145 | 0.244 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".