Dementia Phenotypes in Primary Care, Hospital, and National Mortality Registries
- Conditions
- Dementia
- Interventions
- Other: This is not an intervention study
- Registration Number
- NCT02549872
- Lead Sponsor
- University College, London
- Brief Summary
Most patients with dementia in the UK use their local hospitals and general (family) practices throughout their illness. Linked electronic health records from primary care, hospital and death certificates records therefore provide useful information about the diagnosis and prognosis of patients who develop dementia.
In this study we will assess the validity of dementia diagnoses in linked primary care, hospital and death records, by examining the timing of important health transitions in patients with recorded dementia, and we will estimate the lifetime risk of recorded dementia in different age and sex groups
- Detailed Description
Dementia is a clinical syndrome with insidious onset that is difficult to diagnose in its earliest stages. Presentation to healthcare depends not only upon the rates of disease progression, but also on social support, recognition by clinicians, and patients' and carers' fear of diagnosis. Maintaining complete follow up in cohorts of patient with dementia is difficult, because patients with dementia are frequently lost to follow up.
Most patients with dementia in the UK use their local hospitals and general (family) practices throughout their illness. Linked electronic health records from primary care, hospital and death certificates records should therefore provide useful information about the diagnosis and prognosis of patients who develop dementia with minimal loss to follow-up rates and improved completeness of diagnosis.
Demonstrating that patients with recorded dementia have an earlier onset of typical symptoms, functional impairment and death than patients in the general population would support the veracity of diagnosed dementia recorded in electronic health records and its use as an outcome or exposure in cohort studies and for evaluating policy. Previous studies have found that dementia is poorly recorded in routine clinical practice in comparison to face-to-face studies, although this varies by setting and region. However, ascertainment may be improved by examining linked, longitudinal resources. Comparing the lifetime risk of dementia calculated from linked electronic health records with lifetime risks from other sources will also be a useful information to support the use of linked electronic health records in dementia research.
Electronic health records contain information on important health transitions in patients with dementia: from the earliest stage of the illness (depression, anxiety, memory complaints); the development of cognitive impairment that manifest as loss of capacity or missed appointments; and significant functional impairment, with admission to nursing homes or hospital admission. In this study, we will assess the validity of dementia diagnoses in linked primary care, hospital and death records, by examining the timing of important health transitions in patients with recorded dementia, and estimate the lifetime risk of recorded dementia in different age and sex groups.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 51000
- Patients aged 18 years and over
- Registered with a participating general practice during the study period
- Minimum one year of records prior to study entry meeting CPRD data quality criteria
- Followed on or after 1 January 1997
- Patients without recorded gender
- Less than 1 year of follow-up between study entry and date of administrative censoring
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Non-dementia This is not an intervention study Patients without a recorded diagnosis of dementia in primary or secondary care Dementia This is not an intervention study Patients with a recorded diagnosis of dementia in primary or secondary care
- Primary Outcome Measures
Name Time Method Factors associated with dementia diagnosis (any type) recording in primary care only 10 years These will be estimated from multivariable logistic regression models
Proportion of patients with dementia diagnosis (any type) in primary care that also are recorded in mortality data 10 years Proportion of patients with dementia diagnosis (any type) in secondary care that also are recorded in mortality data 10 years Proportion of patients with dementia diagnosis (any type) in primary care that also are recorded in secondary care 10 years Factors associated with dementia diagnosis (any type) recording in mortality data only 10 years These will be estimated from multivariable logistic regression models
Symptoms associated with subsequent diagnosis of dementia 10 years These will be estimated from multivariable logistic regression models
Lifetime risk of dementia (any type) 10 years Lifetime risk of mortality associated with dementia (any time) 10 years Factors associated with dementia diagnosis (any type) recording in secondary care only 10 years These will be estimated from multivariable logistic regression models
- Secondary Outcome Measures
Name Time Method Proportion of patients with Alzheimer's disease in primary care that are also diagnosed in secondary care 10 years Proportion of patients with vascular dementia in primary care that are also diagnosed in secondary care 10 years Proportion of patients with Alzheimer's disease in primary care that are also diagnosed in mortality data 10 years Lifetime risk of Alzheimer's disease 10 years Lifetime risk of vascular dementia 10 years Lifetime risk of mortality associated with Alzheimer's disease 10 years Proportion of patients with Alzheimer's disease in secondary care that are also recorded in mortality data 10 years Proportion of patients with vascular dementia in primary care that are also recorded in secondary care 10 years Proportion of patients with vascular dementia in secondary care that are also recorded in mortality data 10 years
Trial Locations
- Locations (1)
London Farr Institute of Health Informatics
🇬🇧London, United Kingdom