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Nurse Who Told Cancer Patient Covid Jabs 'Caused Your Cancer' Struck Off
The NMC found 4 of 6 charges proven after she told a patient Covid jabs caused cancer and accessed records without permission.
- The Nursing and Midwifery Council struck off Penny Ann Senner, an adult nurse at Dorset Healthcare University NHS Foundation Trust, after she told a patient that Covid vaccinations were 'what caused your cancer' and accessed 'numerous' patient records without authorization.
- During an August 2023 appointment, Senner broached the topic of Covid jabs in a 'sly manner' with the vulnerable patient, who was undergoing chemotherapy, then handed her an anti-vaccination leaflet retrieved from her vehicle.
- The tribunal heard Senner began compiling patient records for 'research' shortly after Covid vaccines were introduced. The patient, who accepted the leaflet 'out of genuine concern,' later described Senner's comments as a 'direct and definitive claim.'
- Ruling that four out of six charges were found proven, the panel issued an interim suspension order of 18 months to allow Senner time to appeal. Responding to allegations, Senner stated she was 'deeply sorry' to hear the patient was upset.
- The panel concluded Senner attempted to undermine public confidence in public health advice with her actions, which were inconsistent with Dorset Healthcare University NHS Foundation Trust policies and UK health guidance.
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Socialized UK Health Service Revokes Nurse’s License for Blaming Covid Vaccine for Cancer Diagnosis.
A British nurse has been removed from the nursing register after telling a cancer patient that Covid vaccines caused their illness, leading to a misconduct tribunal ruling.PULSE POINTS WHAT HAPPENED: A British nurse, Penny Ann Senner, was struck off the nursing register after a tribunal found she told a cancer patient that Covid vaccinations caused their illness. The Nursing and Midwifery Council (NMC) panel ruled that her comments undermined pu…
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Coverage Details
Total News Sources17
Leaning Left4Leaning Right2Center11Last UpdatedBias Distribution65% Center
Bias Distribution
- 65% of the sources are Center
65% Center
L 23%
C 65%
12%
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