| Literature DB >> 32894049 |
Xiaoping Lin1, Kasey Wallis2, Stephanie A Ward2,3,4, Henry Brodaty3,5, Perminder S Sachdev3,6, Sharon L Naismith7, Karolina Krysinska2,8, John McNeil2, Christopher C Rowe9,10, Susannah Ahern2.
Abstract
BACKGROUND: Dementia was identified as a priority area for the development of a Clinical Quality Registry (CQR) in Australia in 2016. The Australian Dementia Network (ADNeT) Registry is being established as part of the ADNeT initiative, with the primary objective of collecting data to monitor and enhance the quality of care and patient outcomes for people diagnosed with either dementia or Mild Cognitive Impairment (MCI). A secondary aim is to facilitate the recruitment of participants into dementia research and trials. This paper describes the Registry protocol.Entities:
Keywords: Clinical quality registries; Dementia; Health care quality; Mild cognitive impairment; Neurocognitive disorders; Registries
Mesh:
Year: 2020 PMID: 32894049 PMCID: PMC7487842 DOI: 10.1186/s12877-020-01741-2
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Fig. 1Three key pillars within the Australian Dementia Network (ADNeT) initiative
Key data elements in ADNeT Registry Minimum Data Set
| Category | Key data elements |
|---|---|
| Patient identifiers | First name, Last name, Sex, Date of birth |
| Patient demographic information | Country of birth, Preferred spoken language, Aboriginal and/or Torres Strait Islander status, Highest level of education, Living arrangements, Residential setting |
| Information relevant to recruitment methods | Capacity to opt out, Person responsible (if appropriate), Communication of diagnosis |
| Baseline clinical data | Referral date, Initial appointment date, date of dementia or MCI diagnosis, Type of dementia or MCI, Scores of completed cognitive assessments (e.g., MMSE, RUDAS, MoCA, etc) Core blood tests undertaken within the 12 months prior to or at diagnosis (Yes/No), Structural neuro-imaging completed within the 12 months prior to or at diagnosis (e.g., CT, MRI) completed (Yes/No), Functional neuro-imaging completed undertaken within the 12 months prior to or at diagnosis (e.g., PET, SPECT) (Yes/No), Cholinesterase inhibitor recommended or prescribed (Yes/No), Total of prescribed medication, Comorbidity (e.g., history of stroke, hypertension, etc), Independent in personal activities of daily living (Yes/No), Independent in instrumental activities of daily living (Yes/No) |
MMSE Mini Mental State Examination, RUDAS Rowland Universal Dementia Assessment Scale, MoCA Montreal Cognitive Assessment, CT Computerized tomography, MRI Magnetic resonance imaging, PET Positron emission tomography, SPECT Single-photon emission computed tomography
Fig. 2ADNeT Registry recruitment methods and three determinants
Proposed data sources, data content and data collection time points for ADNeT Registry
| Data sources | Data content | Data collection time points | ||
|---|---|---|---|---|
| At recruitment | Clinical follow-up appointments | Anticipated annual patient and carer follow-ups | ||
| Participating sites | Patient identifiers (e.g., first name, last name, and date of birth) | x | ||
| Patient demographic information (e.g., country of birth, and highest attained level of education) | x | |||
| Information relevant to recruitment methods (e.g., capacity to opt out, communication of diagnosis) | x | x | ||
| Baseline clinical data (e.g., date of diagnosis, type of dementia) | x | |||
| Follow-up clinical data | x | |||
| Registry participants (except those recruited under waiver of consent) | Patient survey | x | x | |
| Carers (except patients recruited under waiver of consent) | Carer survey | x | x | |
| Administrative datasets (via data linkage) | Anticipated to include data routinely collected by various government bodies, such mortality, hospitalisation, prescribed medication, and aged care service utilisation | Periodically as appropriate | ||