ArticlePloS one2017
Bringing functional status into a big data world: Validation of national Veterans Affairs functional status data.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
14 citing papers in PubMed.
- Study protocol: type II hybrid effectiveness-implementation study of routine functional status screening in VA primary care.Implementation science communications · 2025Article
- Aging precisely: Precision medicine through the lens of an older adult.Journal of the American Geriatrics Society · 2024Review
- Improving measurement of functional status among older adults in primary care: A pilot study.PloS one · 2024Article
- "You Need to Keep It Going, Mind, Body, and Spirit": Older Adults' Perspectives on Aging in Place in Subsidized Housing.Journal of health care for the poor and underserved · 2024Article
- Machine learning functional impairment classification with electronic health record data.Journal of the American Geriatrics Society · 2023Article
- Racial inequality in functional trajectories between Black and White U.S. veterans.Journal of the American Geriatrics Society · 2023Article
- Article
- Changes in the Hierarchy of Functional Impairment From Middle Age to Older Age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Article
- Do functional status and Medicare claims data improve the predictive accuracy of an electronic health record mortality index? Findings from a national Veterans Affairs cohort.BMC geriatrics · 2022Article
- "The More They Know, the Better Care They Can Give": Patient Perspectives on Measuring Functional Status in Primary Care.Journal of general internal medicine · 2020Article
- Broadening horizons: the case for capturing function and the role of health informatics in its use.BMC public health · 2019Article
- Frailty and mortality: 'Same-same but Different'.BMJ quality & safety · 2019Article
- Making Function Part of the Conversation: Clinician Perspectives on Measuring Functional Status in Primary Care.Journal of the American Geriatrics Society · 2019Article
- Current approaches to measuring functional status among older adults in VA primary care clinics.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundThe ability to perform basic daily activities ("functional status") is key to older adults' quality of life and strongly predicts health outcomes. However, data on functional status are seldom collected during routine clinical care in a way that makes them available for clinical use and research.
objectivesTo validate functional status data that Veterans Affairs (VA) medical centers recently started collecting during routine clinical care, compared to the same data collected in a structured research setting.
designProspective validation study.
settingSeven VA medical centers that collected complete data on 5 activities of daily living (ADLs) and 8 instrumental activities of daily living (IADLs) from older patients attending primary care appointments.
participantsRandomly selected patients aged 75 and older who had new ADL and IADL data collected during a primary care appointment (N = 252). We oversampled patients with ADL dependence and applied these sampling weights to our analyses. MEASUREMENTS: Telephone-based interviews using a validated measure to assess the same 5 ADLs and 8 IADLs.
resultsMean age was 83 years, 96% were male, and 75% were white. Of 85 participants whom VA data identified as dependent in 1 or more ADLs, 74 (87%) reported being dependent by interview; of 167 whom VA data identified as independent in ADLs, 149 (89%) reported being independent. The sample-weighted sensitivity of the VA data for identifying ADL dependence was 45% (95% CI, 29%, 62%) compared to the reference standard, the specificity was 99% (95% CI, 99%, >99%), and the positive predictive value was 87% (95% CI, 79%, 93%). The weighted kappa statistic was 0.55 (95% CI, 0.41, 0.68) for the agreement between VA data and research-collected data in identifying ADL dependence.
conclusionOverall agreement of VA functional status data with a reference standard was moderate, with fair sensitivity but high specificity and positive predictive value.
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