ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2019
Development and Validation of the Nursing Home Minimum Data Set 3.0 Mortality Risk Score (MRS3).
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Effect of advance care planning video on do-not-hospitalize orders for nursing home residents with advanced illness.BMC geriatrics · 2022Trial
- Impact of an Advance Care Planning Video Intervention on Care of Short-Stay Nursing Home Patients.Journal of the American Geriatrics Society · 2021Trial
- Advance Care Planning Video Intervention Among Long-Stay Nursing Home Residents: A Pragmatic Cluster Randomized Clinical Trial.JAMA internal medicine · 2020Trial
- Effectiveness of the PASRR Program Compared With Claims Data in Identifying Nursing Home Admissions With Mental Illness.Journal of the American Medical Directors Association · 2026Article
- Assessing the feasibility of linking Section G and Section GG measures of function in skilled nursing facilities.The Gerontologist · 2026Article
- An Updated Mortality and Community Discharge Prognostic Model for Older Adults Admitted to Skilled Nursing Facilities for Post-Acute Care.Journal of the American Medical Directors Association · 2026Article
- Do Medicare Accountable Care Organizations Impact Health Care Utilization among Long-Stay Nursing Home Residents?Journal of the American Medical Directors Association · 2025Article
- Prognostication in Alzheimer's disease and related dementias.Journal of the American Geriatrics Society · 2025Article
- Predictors of mortality shortly after entering a long-term care facility.Age and ageing · 2024Article
- Real-world Effectiveness of mRNA COVID-19 Vaccines Among US Nursing Home Residents Aged ≥65 Years in the Pre-Delta and High Delta Periods.Open forum infectious diseases · 2024Article
- Understanding the Utility of Less Than Six-Month Prognosis Using Administrative Data Among U.S. Nursing Home Residents With Cancer.Palliative medicine reports · 2024Article
- Adoption of sodium-glucose cotransporter-2 inhibitors among prescribers caring for nursing home residents.Journal of the American Geriatrics Society · 2023Article
- The relationship between exposure to Hurricane Harvey and mortality among nursing home residents.Journal of the American Geriatrics Society · 2023Observational
- Observational
- Dementia diagnosis in the hospital and outcomes among patients with advanced dementia documented in the Minimum Data Set.Journal of the American Geriatrics Society · 2022Article
- Risk factors associated with suicidal ideation in newly admitted working-age nursing home residents.Journal of affective disorders · 2021Article
- Rural/urban differences in discharge from rehabilitation in older adults with traumatic brain injury.Journal of the American Geriatrics Society · 2021Article
- Improvement in Activities of Daily Living during a Nursing Home Stay and One-Year Mortality among Older Adults with Sepsis.Journal of the American Geriatrics Society · 2021Article
- First Month of COVID-19 Vaccine Safety Monitoring - United States, December 14, 2020-January 13, 2021.MMWR. Morbidity and mortality weekly report · 2021Article
- Development and validation of multivariable mortality risk-prediction models in older people undergoing an interRAI home-care assessment (RiskOP).EClinicalMedicine · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Background: To develop a score to predict mortality using the Minimum Data Set 3.0 (MDS 3.0) that can be readily calculated from items collected during nursing home (NH) residents' admission assessments. Participants: We developed a training cohort of Medicare beneficiaries newly admitted to United States NHs during 2012 (N = 1,426,815) and a testing cohort from 2013 (N = 1,160,964). Methods: Data came from the MDS 3.0 assessments linked to the Medicare Beneficiary Summary File. Using the training dataset, we developed a composite MDS 3.0 Mortality Risk Score (MRS3) consisting of 17 clinical items and patients' age groups based on their relation to 30-day mortality. We assessed the calibration and discrimination of the MRS3 in predicting 30- and 60-day mortality and compared its performance to the Charlson Comorbidity Index and the clinician's assessment of 6-month prognosis measured at admission. Results: The 30- and 60-day mortality rates for the testing population were 2.8% and 5.6%, respectively. Results from logistic regression models suggest that the MRS3 performed well in predicting death within 30 and 60 days (C-Statistics of 0.744 [95% confidence limit (CL) = 0.741, 0.747] and 0.709 [95% CL = 0.706, 0.711], respectively). The MRS3 was a superior predictor of mortality compared to the Charlson Comorbidity Index (C-statistics of 0.611 [95% CL = 0.607, 0.615] and 0.608 [95% CL = 0.605, 0.610]) and the clinicians' assessments of patients' 6-month prognoses (C-statistics of 0.543 [95% CL = 0.542, 0.545] and 0.528 [95% CL = 0.527, 0.529]). Conclusions: The MRS3 is a good predictor of mortality and can be useful in guiding decision-making, informing plans of care, and adjusting for patients' risk of mortality.
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