Katherine Parkin

ORCID: 0000-0001-7338-5667
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About
Contact & Profiles
Research Areas
  • Emergency and Acute Care Studies
  • Mental Health Treatment and Access
  • Child and Adolescent Psychosocial and Emotional Development
  • Autism Spectrum Disorder Research
  • Migration, Health and Trauma
  • Telemedicine and Telehealth Implementation
  • Chronic Disease Management Strategies
  • Primary Care and Health Outcomes
  • Obsessive-Compulsive Spectrum Disorders
  • Healthcare Systems and Technology
  • Health disparities and outcomes
  • Child and Adolescent Health
  • Digital Mental Health Interventions
  • Schizophrenia research and treatment
  • Psychiatric care and mental health services
  • Personality Disorders and Psychopathology
  • Homelessness and Social Issues
  • COVID-19 and Mental Health

University of Cambridge
2022-2025

Primary Health Care
2024

Cambridgeshire and Peterborough NHS Foundation Trust
2020-2021

Background Rates of childhood mental health problems are increasing in the UK. Early identification is challenging but critical to children’s future psychosocial development. This particularly important for children with social care contact because earlier can facilitate intervention. Clinical prediction tools could improve these early intervention efforts. Aims Characterise a novel cohort consisting and develop effective machine learning models problems. Method We used linked, de-identified...

10.1192/bjo.2025.32 article EN cc-by-nc-nd BJPsych Open 2025-04-11

Accessible summary What Is Known on the Subject? Mental health care can be delivered remotely through video and telephone consultations. Remote consultations may cheaper more efficient than in person Paper Adds to Existing Knowledge Accessing community mental remote is perceived as not possible or beneficial for all service users. Delivering practical appropriate clinicians teams. are Implications Practice? consultation cannot a ‘one‐size‐fits‐all’ model of care. A flexible approach needed...

10.1111/jpm.13044 article EN Journal of Psychiatric and Mental Health Nursing 2024-03-11

Abstract Background Obsessive–compulsive symptoms (OCS) are commonly associated with clozapine treatment but frequently overlooked by clinicians despite their potential impact on patients' quality of life. In this study, we explored whether OCS severity impacted subjective wellbeing and general functioning, independently depressive psychotic symptoms. Methods We used anonymised electronic healthcare records from a large cohort patients who were treated assessed annually for OCS, wellbeing,...

10.1017/s003329172100492x article EN cc-by Psychological Medicine 2022-01-13

Abstract Distress intolerance has been suggested to be a maintaining factor in several mental health conditions. tolerance skills training found beneficial emotionally unstable personality disorder (EUPD) and post-traumatic stress (PTSD). Short-term targeted interventions are increasingly being implemented response demand. This study investigates the efficacy of distress brief psychological intervention (DT BPI) delivered by non-psychologists within an adult secondary care service....

10.1017/s1754470x20000513 article EN The Cognitive Behaviour Therapist 2020-01-01

Abstract Due to continuing pressures on the UK National Health Service’s mental health services, there has been increased interest in development of brief psychological interventions (BPIs). These are usually defined as including selected components established interventions, delivered over fewer sessions, and by staff with less specialised training (paraprofessionals). Cognitive behavioural therapy (CBT)-based BPIs for anxiety depression have found be helpful clients mild moderate problems....

10.1017/s1754470x21000258 article EN The Cognitive Behaviour Therapist 2021-01-01

Background Rates of childhood mental health problems are increasing in the United Kingdom. Early identification is challenging but critical to future psycho-social development children, particularly those with social care contact. Clinical prediction tools could improve these early efforts. Aims Characterise a novel cohort children and develop validate effective Machine Learning (ML) models for problems. Method We used linked, de-identified data from Secure Anonymised Information Linkage...

10.1101/2024.05.03.24306756 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2024-05-05
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