ArticleEuropean journal of clinical pharmacology2017
Development and validation of a Medicines Comorbidity Index for older people.
Article in European journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis.Frontiers in digital health · 2023Article
- Predictivity of the comorbidity indices for geriatric syndromes.BMC geriatrics · 2022Article
- Article
- Development of a specialty intensity score to estimate a patient's need for care coordination across physician specialties.Health science reports · 2021Article
- Discontinuation of antipsychotics treatment for elderly patients within a specialized behavioural unit: a retrospective review.International journal of clinical pharmacy · 2021Article
- Assessment of Medication Safety Using Only Dispensing Data.Current epidemiology reports · 2018Review
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2 authors.
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Abstract
purposeAn index for estimating multimorbidity based on prescription claims data is important for predicting health outcomes for older people in pharmacoepidemiological studies. We aimed to develop a Medicines Comorbidity Index (MCI) based on nationwide prescription claims data and evaluate its performance in predicting adverse outcomes in older individuals.
methodsThe index was developed on a retrospective cohort comprising of all individuals aged ≥ 65 years old, captured in the claims dataset from 1st January to 31st December 2012. The cohort was followed for 1 year to identify an event of hospitalisation or mortality. A list of medications for 20 comorbidities based on the Chronic Disease Score framework was collated. Predictive performance of the MCI was evaluated against the Charlson Comorbidity Index (CCI) using measures of discrimination (Receiver Operating Characteristic curves), sensitivity and specificity (c-statistic) and calibration (Brier scores) for regression models.
resultsThe MCI was validated for an outcome of mortality (n = 161,461) and hospitalisation (n = 149,729). For mortality, MCI had a marginally lower c-statistic in comparison to CCI (0.70, 95% CI 0.70-0.71 vs 0.72, 95% CI 0.71-0.72 at p < 0.05) with Brier scores of 0.07 at p < 0.05. For hospitalisation, the Hazard Ratio was higher with MCI (1.08, 95% CI 1.08-1.08, p < 0.001) compared to CCI (0.92, 95% CI 0.91-0.92, p < 0.001).
conclusionInitial testing indicates that the MCI is a valid and appropriate tool for measuring multimorbidity and predicting health outcomes for older individuals, and can be an important index for adjusting comorbidity in pharmacoepidemiological studies.
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