ArticleMedical care2021
Measuring Multimorbidity: Selecting the Right Instrument for the Purpose and the Data Source.
Article in Medical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How to assess multimorbidity: a systematic review.Frontiers in public health · 2025Pooled it
- Predicting All-Cause Mortality Using Two Claims-Based Measures in Medicare Beneficiaries With Dementia.Medical care research and review : MCRR · 2026Article
- Multimorbidity in the Brazilian adult population: Protocol for a systematic review and meta-analysis of prevalence.PloS one · 2026Article
- Robustly measuring multimorbidity using disparate linked datasets.Communications medicine · 2025Article
- Diabetes Complications Among Community-Based Health Center Patients with Varying Multimorbidity Patterns.Journal of general internal medicine · 2025Article
- Caregiving outcomes among informal caregivers of persons with multimorbidity and dementia: a scoping review.European geriatric medicine · 2025Article
- Characteristics of older patients undergoing surgery in the UK: SNAP-3, a snapshot observational study.British journal of anaesthesia · 2025Observational
- Analytical approaches to evaluate risk factors of multimorbidity: a systematic scoping review protocol.BMJ open · 2025Article
- Optimization of Health Service Utilization Among Elderly People With Chronic Diseases in Rural Ethnic Minorities in Northwest Yunnan Using Graph Neural Networks.Blockchain in healthcare today · 2025Article
- The extent and burden of high multimorbidity on older adults in the US: a descriptive analysis of Medicare beneficiaries.BMC geriatrics · 2024Article
- Multimorbidity and associated informal care receiving characteristics for US older adults: a latent class analysis.BMC geriatrics · 2024Article
- A Novel Machine Learning Algorithm for Creating Risk-Adjusted Payment Formulas.JAMA health forum · 2024Article
- Diabetes and Multiple Long-term Conditions: A Review of Our Current Global Health Challenge.Diabetes care · 2023Review
- Chronic Medication Burden After Cardiac Surgery for Pediatric Medicaid Beneficiaries.Journal of the American College of Cardiology · 2023Article
- Racial, ethnic, and socioeconomic disparities in trajectories of morbidity accumulation among older Americans.SSM - population health · 2023Article
- Defining Multimorbidity in Older Patients Hospitalized with Medical Conditions.Journal of general internal medicine · 2023Article
- Can markers of disease severity improve the predictive power of claims-based multimorbidity indices?Journal of the American Geriatrics Society · 2023Article
- Development and validation of novel multimorbidity indices for older adults.Journal of the American Geriatrics Society · 2023Article
- Cohort Trends in the Burden of Multiple Chronic Conditions Among Aging U.S. Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022Article
- Emerging approaches to multiple chronic condition assessment.Journal of the American Geriatrics Society · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
backgroundAdults have a higher prevalence of multimorbidity-or having multiple chronic health conditions-than having a single condition in isolation. Researchers, health care providers, and health policymakers find it challenging to decide upon the most appropriate assessment tool from the many available multimorbidity measures.
objectiveThe objective of this study was to describe a broad range of instruments and data sources available to assess multimorbidity and offer guidance about selecting appropriate measures.
designInstruments were reviewed and guidance developed during a special expert workshop sponsored by the National Institutes of Health on September 25-26, 2018.
resultsWorkshop participants identified 4 common purposes for multimorbidity measurement as well as the advantages and disadvantages of 5 major data sources: medical records/clinical assessments, administrative claims, public health surveys, patient reports, and electronic health records. Participants surveyed 15 instruments and 2 public health data systems and described characteristics of the measures, validity, and other features that inform tool selection. Guidance on instrument selection includes recommendations to match the purpose of multimorbidity measurement to the measurement approach and instrument, review available data sources, and consider contextual and other related constructs to enhance the overall measurement of multimorbidity.
conclusionsThe accuracy of multimorbidity measurement can be enhanced with appropriate measurement selection, combining data sources and special considerations for fully capturing multimorbidity burden in underrepresented racial/ethnic populations, children, individuals with multiple Adverse Childhood Events and older adults experiencing functional limitations, and other geriatric syndromes. The increased availability of comprehensive electronic health record systems offers new opportunities not available through other data sources.
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