# Health Behavior Change and Donor Registration > Applied health-behavior change models and organ-donor registration intervention evidence. Covers the major theoretical frameworks used to design health-behavior campaigns, applied specifically to dono Parent: [Applied Human Psychology](https://llms-explorer.com/tree/applied-human-psychology/) · 5 facets · 20 facts · page: https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/ ## Overview - Applied health-behavior change models and organ-donor registration intervention evidence. Covers the major theoretical frameworks used to design health-behavior campaigns, applied specifically to donor-registration campaigns. — [source](https://llms-explorer.com/sources/mdb-context-hub/health-behavior-change-and-donor-registration/#overview) - Frameworks: Health Belief Model (HBM - perceived susceptibility, severity, benefits, barriers, cues to action, self-efficacy); Theory of Planned Behavior / Reasoned Action (TPB/TRA - attitude, subjective norm, perceived behavioral control → intention → behavior, and the intention-action gap); Extended Parallel Process Model (EPPM - threat × efficacy interaction, danger-control vs fear-control responses, message backfire when threat is high but efficacy is low); COM-B (capability, opportunity, motivation → behavior). — [source](https://llms-explorer.com/sources/mdb-context-hub/health-behavior-change-and-donor-registration/#overview) - Donor-registration specifics: the willingness-registration GAP (why polling support far exceeds actual registration); intervention evidence for mandated choice, prompted choice, active choice (US); opt-in vs opt-out / presumed consent (behavioral-defaults literature, Johnson & Goldstein); reciprocity priming; loss-framing; social norms; the UK Behavioural Insights Team RCT on 1M+ users showing framing effects at the DVLA registration point. — [source](https://llms-explorer.com/sources/mdb-context-hub/health-behavior-change-and-donor-registration/#overview) - Route SDT/Fogg/habit loops to applied-psychology (behavior-change-psychology reference); system-level OPO/OPTN/consent law to venture-organ-donation-system; policy advocacy to venture-organ-donation-frontier. — [source](https://llms-explorer.com/sources/mdb-context-hub/health-behavior-change-and-donor-registration/#overview) ## Where this helps - Designing a specific message for a health campaign, where the Health Belief Model's five components — perceived susceptibility, severity, benefits, barriers, and cues to action — map directly onto what the message needs to establish. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - Explaining why stated support for a health behavior, like organ donation, doesn't translate into the actual behavior — the willingness-registration gap that TPB/TRA frames as an intention-action gap. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - Choosing a fear-appeal strategy for a health message, where EPPM predicts message backfire (avoidance instead of action) if threat is emphasized without matching efficacy information. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - Deciding how a registration point — a DVLA-style form, a DMV kiosk, an app sign-up flow — should default and frame its choice, drawing on the opt-in/opt-out and mandated/prompted/active-choice evidence base. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* ## How to apply this - Map a campaign's message components against HBM's five levers — susceptibility, severity, benefits, barriers, plus a cue to action — rather than writing persuasive copy without a framework for what it needs to cover. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - Use TPB/TRA to separate whether the audience wants to do something (attitude, norm, perceived control) from whether they'll actually do it (the intention-to-behavior gap), and design a specific intervention for the gap rather than assuming stronger attitudes alone will close it. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - Pair any threat-based message with an explicit efficacy statement — what to do, how easy it is — since EPPM predicts that high threat combined with low efficacy produces denial or avoidance rather than the intended action. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - Test opt-out or prompted-choice framings against opt-in defaults at the actual registration point, following the UK Behavioural Insights Team's 1M+-user RCT design at the DVLA, rather than assuming attitude-change campaigns alone will move registration rates. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* ## Antipatterns - Running a high-threat fear appeal without pairing it with a clear, believable efficacy message — EPPM predicts this produces danger-control failure (avoidance, denial, reactance) rather than the intended behavior. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - Treating stated support for a behavior, such as survey approval of organ donation, as a proxy for actual registration rates — the willingness-registration gap is specifically the finding that these two numbers diverge substantially. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - Redesigning the persuasive message when the real bottleneck is the choice architecture at the point of registration — opt-in/opt-out and mandated/prompted/active-choice interventions target friction in the decision itself, not the audience's attitude. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - Applying HBM, TPB, or EPPM interchangeably — each model targets a different lever (perceived risk, social and normative pressure, threat-efficacy balance), and picking the wrong one for the actual barrier wastes the campaign's message budget. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* ## Limitations - This pack is scoped as an applied overview layer — the deeper mechanism-level material behind SDT, Fogg's model, and habit loops is deliberately routed elsewhere (applied-psychology), so this pack alone doesn't cover the full behavior-change literature. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - The UK Behavioural Insights Team's DVLA registration RCT is a single, if large, intervention in one national registration system; framing effects that worked at that specific choice point aren't guaranteed to transfer unchanged to a different country's registration process or a different behavior entirely. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - EPPM's danger-control/fear-control distinction is a well-established framework, but predicting in advance which audience segment will react with denial versus action for a specific message is inherently harder than describing the mechanism after the fact. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* - This pack explicitly excludes policy-advocacy content and system- or legal-consent-law detail, routing those elsewhere, so it should not be used as a source for what registration policy a jurisdiction should adopt. — [source](https://llms-explorer.com/tree/health-behavior-change-and-donor-registration/) *(AI-suggested, synthesized from this pack's existing facts — not extracted from a source document.)* ## Context files - [Health Behavior Change and Donor Registration](https://llms-explorer.com/downloads/sources/mdb-context-hub/health-behavior-change-and-donor-registration.md)