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Gary A. Abel

Researcher at University of Exeter

Publications -  208
Citations -  6719

Gary A. Abel is an academic researcher from University of Exeter. The author has contributed to research in topics: Cancer & Patient experience. The author has an hindex of 42, co-authored 188 publications receiving 5283 citations. Previous affiliations of Gary A. Abel include British Antarctic Survey & Natural Environment Research Council.

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Variation in number of general practitioner consultations before hospital referral for cancer: findings from the 2010 National Cancer Patient Experience Survey in England

TL;DR: The findings could help to prioritise and stratify early diagnosis initiatives and research, focusing on patients with cancers and sociodemographic characteristics with the largest potential for improvement.
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The effect of physical multimorbidity, mental health conditions and socioeconomic deprivation on unplanned admissions to hospital: a retrospective cohort study

TL;DR: Physical multimorbidity was strongly associated with unplanned admission to hospital, including admissions that were potentially preventable, and the risk of admission tohospital was exacerbated by the coexistence of mental health conditions and socioeconomic deprivation.
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Common patterns of morbidity and multi-morbidity and their impact on health-related quality of life: evidence from a national survey.

TL;DR: Patients with multi-morbid diabetes, arthritis, neurological, or long-term mental health problems have significantly lower quality of life than other people.
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Is polypharmacy always hazardous? A retrospective cohort analysis using linked electronic health records from primary and secondary care

TL;DR: Unplanned hospitalization is strongly associated with the number of regular medications, however, the effect is reduced in patients with multiple conditions, in whom only the most extreme levels of polypharmacy are associated with increased admissions.
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Prevalence of polypharmacy in a Scottish primary care population

TL;DR: A cross-sectional analysis of adult electronic primary healthcare records was conducted and linear regression models were used to examine the association between the number of medicines prescribed regularly and both multimorbidity and specific clinical conditions, adjusting for age, gender and socioeconomic deprivation.