Publications by authors named "D R Osborn"

Background: People with severe mental illness (SMI) are at increased risk of cardiovascular disease (CVD), and initiatives for CVD risk factor screening in the UK have not reduced disparities.

Objectives: To describe the annual screening prevalence for CVD risk factors in people with SMI from April 2000 to March 2018, and to identify factors associated with receiving no screening and regular screening.

Methods: We identified adults with a diagnosis of SMI (schizophrenia, bipolar disorder or 'other psychosis') from UK primary care records in Clinical Practice Research Datalink.

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Background: People living with alcohol use disorder (AUD) who develop Type 2 Diabetes (T2DM) may be at higher risk of diabetes-complications.

Aim: Our aims were to compare diabetes-monitoring and incidence of diabetes-complications between people with and without AUD prior to T2DM diagnosis attending primary care in England.

Design & Setting: We used the Clinical Practice Research Datalink (CPRD) Aurum linked with Hospital Episode Statistics (HES) and Office for National Statistics (ONS) mortality data.

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Hydrofluoroolefins (HFOs) and hydrochlorofluoroolefins (HCFOs) are the leading synthetic replacements for compounds successively banned by the Montreal Protocol and amendments. HFOs and HCFOs readily decompose in the atmosphere to form fluorinated carbonyls, including CFCHO in yields of up to 100%, which are then photolyzed. A long-standing issue, critical for the transition to safe industrial gases, is whether atmospheric decomposition of CFCHO yields any quantity of CHF (HFC-23), which is one of the most environmentally hazardous greenhouse gases.

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Background: Contemporary data relating to antipsychotic prescribing in UK primary care for patients diagnosed with severe mental illness (SMI) are lacking.

Aims: To describe contemporary patterns of antipsychotic prescribing in UK primary care for patients diagnosed with SMI.

Method: Cohort study of patients with an SMI diagnosis (i.

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Objectives: To validate codelists for defining a range of mental health (MH) conditions with primary care data, using a mixed qualitative and quantitative approach and without requiring external data.

Methods: We validated Read codelists, selecting and classifying them in three steps. The qualitative step included an in-depth revision of the codes by six doctors.

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