ArticleBMC health services research2013
Diagnostic data for neurological conditions in interRAI assessments in home care, nursing home and mental health care settings: a validity study.
Article in BMC health services research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 82 citations in OpenAlex.
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- Pan-Canadian estimates of the prevalence and risks associated with critical wandering among home care clients.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Derivation and validation of an algorithm to predict transitions from community to residential long-term care among persons with dementia-A retrospective cohort study.PLOS digital health · 2024Article
- Building and validating trend-based multiple sclerosis case definitions: a population-based cohort study for Manitoba, Canada.BMJ open · 2024Article
- On the Dependence of the Critical Success Index (CSI) on Prevalence.Diagnostics (Basel, Switzerland) · 2024Article
- Differences in the longitudinal change of behaviours related to dementia in long-term care: a growth mixture modelling approach.BMC geriatrics · 2023Article
- External validation of the hospital frailty risk score among hospitalised home care clients in Canada: a retrospective cohort study.Age and ageing · 2023Article
- Long-Term Care Resident Health and Quality of Care During the COVID-19 Pandemic: A Synthesis Analysis of Canadian Institute for Health Information Data Tables.Health services insights · 2023Article
- The interRAI CHESS scale is comparable to the palliative performance scale in predicting 90-day mortality in a palliative home care population.BMC palliative care · 2022Article
- Comorbidity patterns in institutionalized older adults affected by dementia.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
- Caregiving burnout of community-dwelling people with dementia in Hong Kong and New Zealand: a cross-sectional study.BMC geriatrics · 2021Article
- Artificial neural networks for simultaneously predicting the risk of multiple co-occurring symptoms among patients with cancer.Cancer medicine · 2021Article
- Using Big Data to Estimate Dementia Prevalence in New Zealand: Protocol for an Observational Study.JMIR research protocols · 2021Article
- Health Outcomes from Home Hospitalization: Multisource Predictive Modeling.Journal of medical Internet research · 2020Article
- Article
- Predictors of Home Care Costs Among Persons With Dementia, Amyotrophic Lateral Sclerosis, and Multiple Sclerosis in Ontario.Health services insights · 2020Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe interRAI suite of assessment instruments can provide valuable information to support person-specific care planning across the continuum of care. Comprehensive clinical information is collected with these instruments, including disease diagnoses. In Canada, interRAI data holdings represent some of the largest repositories of clinical information in the country for persons with neurological conditions. This study examined the accuracy of the diagnostic information captured by interRAI instruments designed for use in the home care, long-term care and mental health care settings as compared with national administrative databases.
methodsThe interRAI assessments were matched with an inpatient hospital record and emergency department (ED) visit record in the preceding 90 days. Diagnoses captured on the interRAI instruments were compared to those recorded in either administrative record for each individual. Diagnostic validity was examined through sensitivity, specificity and positive predictive value analysis for the following conditions: multiple sclerosis, epilepsy, Alzheimer's disease and other dementias, Parkinson's disease, traumatic brain injury, stroke, diabetes mellitus, heart failure and reactive airway disease.
resultsIn the three large study samples (home care: n = 128,448; long-term care: n = 26,644; mental health: n = 13,812), interRAI diagnoses demonstrated high specificity when compared to administrative records, for both neurological conditions (range 0.80-1.00) and comparative chronic diseases (range 0.83-1.00). Sensitivity and positive predictive values (PPV) were more varied by specific diagnosis, with sensitivities and PPV for neurological conditions ranging from 0.23 to 0.94 and 0.14 to 0.77, respectively. The interRAI assessments routinely captured more cases of the diagnoses of interest than the administrative records.
conclusionsThe interRAI assessment collected accurate information about disease diagnoses when compared to administrative records within three months. Such information is likely relevant to day-to-day care in these three environments and can be used to inform care planning and resource allocation decisions.
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