Debate contribution: Medical Misogyny

Debate contribution by Mr Mike Nesbitt on .

MLA
Mr Mike Nesbitt
Party at the time
Ulster Unionist Party
Date
15 September 2025
Type
Debate contribution (made as a minister)
Business
Oral Answers to Questions
Heading
Medical Misogyny
Assembly identifier
Official Report component 5099320

Read the official Assembly record

Text

In a recent response to a question for written answer from the Member on the same topic, I welcomed the report by the UK Parliament's Women and Equalities Committee on women's reproductive health conditions. It highlighted the fact that women often find that their pain is normalised or dismissed when they seek medical help from the NHS in England. I am aware, through qualitative feedback received by my Department, that some women in Northern Ireland have had similar experiences. Others have reported having a positive experience when discussing issues with their healthcare provider. I fully acknowledge the range of experiences. However, to the question of whether an impact assessment has been made, unfortunately you cannot readily assess something that is not well defined and measurable. However, I recognise the importance of clinical education and the need to listen to women in this area and ensure that appropriate referrals are made and treatment decisions are taken that best meet the needs of those individuals.

163 words. Text as published by the Northern Ireland Assembly.

Assessment

Not flagged

Jev’s structured answers met the documented threshold for “not flagged”.

  • Overall probability that the activity is being used to promote, exploit or escalate an identity-based controversy: 0.06 (flagging needs at least 0.70; at or below 0.30 is not flagged).
  • None of the five culture-war criteria was met (each was below 0.60).
  • Assessed as legitimate policy scrutiny (0.73).
  • No identity-based framing was identified (0.94).
  • Subject area: Sexism, misogyny, ageism and other equality groups.
  • The overall probability was at or below the not-flagging threshold.

This is an AI-generated assessment of the text, made against published criteria. It is not a finding of fact about the MLA or their intentions. The Assembly record itself is the fact.

Jev’s structured answers

Probability that each statement is true of this text (0 = no, 1 = yes). A criterion counts as met at 0.60 or above.
QuestionProbabilityMet?
Identity framing0.06No
Sectarian or communal antagonism0.02No
Cultural grievance politics0.02No
Dog-whistle messaging0.03No
Controversy escalation0.05No
Legitimate policy scrutiny0.73Yes
Overall judgement0.06At or below not-flagging threshold
Context and attribution (stance)
OptionProbability
No identity-based framing (chosen)0.94
Reports or questions it0.05
Criticises or condemns it0.00
Adopts it0.01
Subject area (top five)
SubjectProbability
Sexism, misogyny, ageism and other equality groups0.75
Gender, sexuality, abortion and related social issues0.25
No identity-related subject0.00
Flags, emblems, symbols, names and memorials0.00
Parades, bonfires and commemorations0.00

Assessed 21 October 2026 at 13:07 UTC by jev-1.13.0 (requested as typesafe/jev) under rubric 2026.10-r9, methodology 1.9.

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