A nurse-focused view of how often unverified health claims enter patient and family conversations, which misconceptions dominate, how much correction work is absorbed into the shift, what communication approaches preserve trust, and which point-of-care supports nurses say would help.
Audience: Nurses
Countries: 6
Completion Rate: 80.8%
SGID: 8949821
-Hero findings
– Quick Read — Key Findings
Patients and families arrive with information gathered from social feeds, forums, search results, friends, influencers, and increasingly AI tools. For nurses, the problem is not abstract: a claim can surface during medication administration, discharge teaching, vaccine counseling, symptom triage, or a conversation about whether to accept recommended care.
External context reinforces why this matters. The World Health Organization’s 2025 infodemic analysis describes how misinformation erodes trust while frontline workers remain a source of credible guidance, and in 2026 the International Council of Nurses stressed that nurses translate evidence into care and need time and resources for person-centred communication.
46.9% encounter unverified or misleading health information multiple times per shift or daily.
Another 37.7% see these conversations a few times a week and only 2.9% rarely or never, so misinformation sits inside routine patient-facing work rather than at its edges. That frequency matters because correction rarely happens in isolation: a claim raised during a medication round, discharge explanation, or family question can expand into source checking, reassurance, or escalation, and even when it is corrected the time cost stays inside the shift.
52.2% most frequently encounter misconceptions about prescription medications, side effects, or vaccine safety.
False information about disease cause, self-diagnosis, or prognosis follows at 25.4%, supplements and “detoxes” at 17.3%, and acute or post-discharge advice at 5.1%. The leading category lands in a core nursing responsibility, explaining why a medicine is given, which side effects matter, and what a vaccine does, so a misconception here can affect adherence, consent, or willingness to continue treatment.
56.1% say misinformation has a moderate workflow impact because it requires extra education time during visits.
A further 26.2% report a major impact that consumes clinical time and can delay care, while only 17.0% find it quick to address and 0.7% see no impact. Even a “manageable” education task competes with medication rounds, documentation, handoffs, and call lights, which is why the later barrier question is blunt: 47.8% say lack of time from workload or staffing ratios is the biggest obstacle to effective misinformation education.
57.6% choose “Validation + Pivot” as the most effective strategy for maintaining trust without triggering defensiveness.
44.8% identify short-form social media as the source of misinformation posing the greatest barrier to effective care.
Family, friends, and word-of-mouth follow at 25.4%, forums or peer groups at 15.7%, and unvetted AI or symptom checkers at 14.2%, so the sources span close relationships and fast-moving digital channels. On handling refusals, 63.2% are moderately confident de-escalating, 24.2% extremely, 11.2% slightly, and 1.5% not at all, and that dominant “moderately confident” answer signals real capability but also steady emotional work.
47.8% name lack of time during patient interactions as the single biggest obstacle to effectively educating patients about misinformation.
Lack of time because of workload or staffing ratios
Patient-facing digital or printed toolkits in plain language
Dedicated patient educators or health-literacy specialists
Formal training on motivational interviewing and health literacy
Patient entrenchment or mistrust is the next barrier at 32.8%, ahead of missing patient-friendly materials (13.4%) and lack of training (6.0%). Asked what would help most, 35.2% want plain-language patient toolkits, 31.1% dedicated educators or health-literacy specialists, 17.2% formal training, and 16.5% EHR-integrated discharge templates, so the requests are distributed across tools, people, training, and workflow rather than information alone.
The survey points to a familiar contradiction: nurses are expected to translate evidence, protect trust, and help patients decide safely, yet the most common barrier is time. The misinformation is also moving closer to core care decisions, with medication, side-effect, and vaccine misconceptions leading the content mix and short-form social platforms leading the sources.
The strongest communication choice is relational, not confrontational: acknowledge the concern, then pivot to evidence, though that takes attention. So the next step is organizational as much as individual: give nurses clear patient-facing resources, build health-literacy support into workflow, provide educators when conversations get complex, and make evidence-based explanation easier to deliver within a shift.
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