Completed Public Health & Healthcare NIHR-supported project Mental Health

Study 8. Evaluating predictive validity of the PWQ (NHSE responsive project)

In plain English

AI plain-English summary

A simple patient questionnaire could prove as reliable as clinical checks at spotting when someone in hospital is about to get dangerously worse. The problem is that current early warning systems rely on nurses and doctors taking vital signs like pulse and blood pressure. These checks happen at set intervals, so deterioration can be missed between rounds. Martha’s Rule, now being piloted in NHS hospitals, gives patients and families a direct way to escalate concerns. This study tests whether the Patient Wellness Questionnaire—a short self-assessment form—can flag deterioration as accurately as the standard National Early Warning Score. If the questionnaire works, it would give hospitals a low-cost, patient-centred tool to catch deterioration earlier, potentially reducing cardiac arrests, deaths, and intensive care admissions. The results will directly inform NHS England’s decisions on rolling out Martha’s Rule more widely. The study draws data from two large teaching hospitals already using the questionnaire in the pilot, comparing responses against clinical outcomes. This is applied health services research with a clear, near-term policy payoff: a faster, more inclusive safety net for hospital patients.

View original technical description
This study aims to assess if the patient wellness questionnaire (a measure of patients assessment of their own wellness) is as good at identifying signs of patient deterioration as clinical assessments. The Questionnaire has been used by some hospitals to help pilot delivery of Martha's Rule https://www.england.nhs.uk/patient-safety/marthas-rule/ to support early detection and intervention for clinical deterioration. We will obtain data from two large teaching hospital who are using the Questionnaires and are involved in the pilot study comparing Questionnaire responses with National Early Warning Scores that are based on clinical assessment. We will also look at outcomes like cardiac arrest, mortality, and intensive care unit transfer. If the Questionnaire offers promising results this will guide the assessment of Martha’s Rule more widely and inform NHS England's future decisions with this Rule.

Researchers

Luke Budworth (Principal Investigator)

Related Research

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The ability of the National Early Warning Score (NEWS) to identify care home residents at risk of adverse health outcomes.
NEWS+Local
Harnessing the Potential of Machine Learning to improve Patient Safety and Staff Efficiency (CARDS). (A study of the efficacy, implications and barriers to the future deployment of Computer Assisted Risk of Deterioration Score, a machine learning early warning score in UK hospitals)

Original classification

Safety Intelligence

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.