Andrew S Moriarty
Biographic Data
| ID | 7975413 |
|---|---|
| NAME | Andrew S Moriarty |
| GIVEN NAMES | Andrew S |
| FAMILY NAME | Moriarty |
| SIGNATURE | MORIARTY A S |
| AFFILIATIONS | University of York |
| ORCID | 0000-0003-0770-3262 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The Value of Clinical Prediction Models in General Practice
INTRODUCTION: Prediction models are increasingly being used to guide clinical decision making in primary care. There is a lack of evidence exploring the views of patients and general practitioners (GPs) in primary care around their use and implementation. We aimed to better understand the perspectives of GPs and people with lived experience of depression around the use of prediction models and communication of risk in primary care. METHODS: Quali…
Sleep health among people with severe mental ill health during the Covid-19 pandemic
High estimates of perceived poor sleep quality in the SMI population align with previous findings. Supporting people with SMI to maintain routine regularity may work to protect sleep quality and wellbeing. Future research should more closely examine sleep health in people with SMI, using accessible and scalable measures of objective and subjective sleep, examining longitudinal trends
No prominent works on this page.
Sleep health among people with severe mental ill health during the Covid-19 pandemic
High estimates of perceived poor sleep quality in the SMI population align with previous findings. Supporting people with SMI to maintain routine regularity may work to protect sleep quality and wellbeing. Future research should more closely examine sleep health in people with SMI, using accessible and scalable measures of objective and subjective sleep, examining longitudinal trends
The Value of Clinical Prediction Models in General Practice
INTRODUCTION: Prediction models are increasingly being used to guide clinical decision making in primary care. There is a lack of evidence exploring the views of patients and general practitioners (GPs) in primary care around their use and implementation. We aimed to better understand the perspectives of GPs and people with lived experience of depression around the use of prediction models and communication of risk in primary care. METHODS: Quali…
Medicine (2 works) · Mental health (2 works) · Psychiatry (2 works) · Psychology (2 works) · 2019-20 coronavirus outbreak (1 work) · Applied Psychology (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Cohort (1 work) · Cohort study (1 work) · Computer Science (1 work)