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New Opportunities for Cancer Health Services Research: Linking the SEER-Medicare Data to the Nursing Home Minimum Data Set.

ABSTRACT: BACKGROUND:The Surveillance, Epidemiology and End Results (SEER)-Medicare data combine clinical information from population-based cancer registries with Medicare claims. These data have been used in many studies to understand cancer screening, treatment, outcomes, and costs. However, until recently, these data included limited information related to the characteristics and outcomes of cancer patients residing in or admitted to nursing homes. OBJECTIVES:To provide an overview of the new linkage between SEER-Medicare data and the Minimum Data Set (MDS), a nursing home resident assessment instrument detailing residents' physical, psychological, and psychosocial functioning as well as any therapies or treatments received. RESEARCH DESIGN:This is a descriptive, retrospective cohort study. SUBJECTS:Persons in SEER-Medicare diagnosed with cancer from 2004 to 2013 were linked to the 2011-2014 MDS, with 17% of SEER-Medicare patients linked to the MDS data. During 2011-2014, we identified 318,617 cancer patients receiving care in a nursing home and 256,947 cancer patients newly admitted to a total of 10,953 nursing homes. Of these patients, approximately two thirds were Medicare fee-for-service beneficiaries. RESULTS:The timing from cancer diagnoses to nursing home admission varied by cancer. In total, 93% of all patients were admitted directly to a nursing home from an acute care hospital. The majority of patients were cognitively intact, 21% reported some level of depression, and 9% had severe functional limitations. CONCLUSIONS:The new SEER-Medicare-MDS dataset provides a valuable resource for understanding the postacute and long-term care experiences of cancer patients receiving care in United States' nursing homes.

SUBMITTER: Thomas KS

PROVIDER: S-EPMC6072629 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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New Opportunities for Cancer Health Services Research: Linking the SEER-Medicare Data to the Nursing Home Minimum Data Set.

Thomas Kali S KS Boyd Eric E Mariotto Angela B AB Penn Dolly C DC Barrett Michael J MJ Warren Joan L JL

Medical care 20181201 12

<h4>Background</h4>The Surveillance, Epidemiology and End Results (SEER)-Medicare data combine clinical information from population-based cancer registries with Medicare claims. These data have been used in many studies to understand cancer screening, treatment, outcomes, and costs. However, until recently, these data included limited information related to the characteristics and outcomes of cancer patients residing in or admitted to nursing homes.<h4>Objectives</h4>To provide an overview of th ...[more]

PMID: 29401187

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Project description:BackgroundThe Minimum Data Set (MDS) for nursing home resident assessment has been required in all U.S. nursing homes since 1990 and has been universally computerized since 1998. Initially intended to structure clinical care planning, uses of the MDS expanded to include policy applications such as case-mix reimbursement, quality monitoring and research. The purpose of this paper is to summarize a series of analyses examining the internal consistency and predictive validity of the MDS data as used in the "real world" in all U.S. nursing homes between 1999 and 2007.MethodsWe used person level linked MDS and Medicare denominator and all institutional claim files including inpatient (hospital and skilled nursing facilities) for all Medicare fee-for-service beneficiaries entering U.S. nursing homes during the period 1999 to 2007. We calculated the sensitivity and positive predictive value (PPV) of diagnoses taken from Medicare hospital claims and from the MDS among all new admissions from hospitals to nursing homes and the internal consistency (alpha reliability) of pairs of items within the MDS that logically should be related. We also tested the internal consistency of commonly used MDS based multi-item scales and examined the predictive validity of an MDS based severity measure viz. one year survival. Finally, we examined the correspondence of the MDS discharge record to hospitalizations and deaths seen in Medicare claims, and the completeness of MDS assessments upon skilled nursing facility (SNF) admission.ResultsEach year there were some 800,000 new admissions directly from hospital to US nursing homes and some 900,000 uninterrupted SNF stays. Comparing Medicare enrollment records and claims with MDS records revealed reasonably good correspondence that improved over time (by 2006 only 3% of deaths had no MDS discharge record, only 5% of SNF stays had no MDS, but over 20% of MDS discharges indicating hospitalization had no associated Medicare claim). The PPV and sensitivity levels of Medicare hospital diagnoses and MDS based diagnoses were between .6 and .7 for major diagnoses like CHF, hypertension, diabetes. Internal consistency, as measured by PPV, of the MDS ADL items with other MDS items measuring impairments and symptoms exceeded .9. The Activities of Daily Living (ADL) long form summary scale achieved an alpha inter-consistency level exceeding .85 and multi-item scale alpha levels of .65 were achieved for well being and mood, and .55 for behavior, levels that were sustained even after stratification by ADL and cognition. The Changes in Health, End-stage disease and Symptoms and Signs (CHESS) index, a summary measure of frailty was highly predictive of one year survival.ConclusionThe MDS demonstrates a reasonable level of consistency both in terms of how well MDS diagnoses correspond to hospital discharge diagnoses and in terms of the internal consistency of functioning and behavioral items. The level of alpha reliability and validity demonstrated by the scales suggest that the data can be useful for research and policy analysis. However, while improving, the MDS discharge tracking record should still not be used to indicate Medicare hospitalizations or mortality. It will be important to monitor the performance of the MDS 3.0 with respect to consistency, reliability and validity now that it has replaced version 2.0, using these results as a baseline that should be exceeded.

Project description:ImportancePrivate Medicare Advantage (MA) plans recently surpassed traditional Medicare (TM) in enrollment. However, MA plans are facing scrutiny for burdensome prior authorization and potential rationing of care, including home health. MA beneficiaries are less likely to receive home health, but recent evidence on differences in service intensity and outcomes among home health patients is lacking.ObjectiveTo examine differences in home health service intensity and patient outcomes between MA and TM.Design, setting, and participantsThis cross-sectional study was conducted from January 2019 to December 2022 in 102 home health locations in 19 states and included 178 195 TM and 107 102 MA patients 65 years or older with 2 or fewer 60-day home health episodes. It included a secondary analysis of standardized assessment and visit data. Inverse probability of treatment weighting regression compared service intensity and patient outcomes between MA and TM episodes, accounting for differences in demographic characteristics, medical complexity, functional and cognitive impairments, social environment, caregiver support, and local community factors. Models included office location, year, and reimbursement policy fixed effects. Data were analyzed between September 2023 and July 2024.ExposureTM vs MA plan.Main outcomes and measuresHome health length of stay and number of visits from nursing, physical, occupational, and speech therapy, social work, and home health aides. Patient outcomes included improvement in self-care and mobility function, discharge to the community, and transfer to an inpatient facility during home health.ResultsOf 285 297 total patients, 180 283 (63.2%) were female; 586 (0.2%) were American Indian/Alaska Native, 8957 (3.1%) Asian, 28 694 (10.1%) Black, 7406 (2.6%) Hispanic, 1959 (0.7%) Native Hawaiian/Pacific Islander, 237 017 (83.1%) non-Hispanic White, and 678 (0.2%) multiracial individuals. MA patients had shorter home health length of stay by 1.62 days (95% CI, -1.82 to 1.42) and received fewer visits from all disciplines except social work. There were no differences in inpatient transfers. MA patients had 3% and 4% lower adjusted odds of improving in mobility and self-care, respectively (mobility odds ratio [OR], 0.97; 95% CI, 0.94-0.99; self-care OR, 0.96; 95% CI, 0.92-0.99). MA patients were 5% more likely to discharge to the community compared with TM (OR, 1.05; 95% CI, 1.01-1.08).Conclusions and relevanceThe results of this cross-sectional study suggest that MA patients receive shorter and less intensive home health care vs TM patients with similar needs. Differences may be due to the administrative burden and cost-limiting incentives of MA plans. MA patients experienced slightly worse functional outcomes but were more likely to discharge to the community, which may have negative implications for MA patients, including reduced functional independence or increased caregiver burden.

Project description:BackgroundThe minimum data set (MDS) is a collection of data elements to be grouped using a standard approach to allow the use of data for clinical and research purposes. Health data are typically voluminous, complex, and sometimes too ambiguous to generate indicators that can provide knowledge and information on health. This complexity extends further to the rare disease (RD) domain. MDSs are essential for health surveillance as they help provide services and generate recommended population indicators. There is a bottleneck in international literature that reveals a global problem with data collection, recording, and structuring in RD.ObjectiveThis study aimed to identify and analyze the MDSs used for RD in health care networks worldwide and compare them with World Health Organization (WHO) guidelines.MethodsThe population, concept, and context methodology proposed by the Joanna Briggs Institute was used to define the research question of this systematic review. A total of 4 databases were reviewed, and all the processes were reported using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. The data elements were analyzed, extracted, and organized into 10 categories according to WHO digital health guidelines. The quality assessment used the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist.ResultsWe included 20 studies in our review, 70% (n=14) of which focused on a specific health domain and 30% (n=6) of which referred to RD in general. WHO recommends that health systems and networks use standard terminology to exchange data, information, knowledge, and intelligence in health. However, there was a lack of terminological standardization of the concepts in MDSs. Moreover, the selected studies did not follow the same standard structure for classifying the data from their MDSs. All studies presented MDSs with limitations or restrictions because they covered only a specific RD, or their scope of application was restricted to a specific context or geographic region. Data science methods and clinical experience were used to design, structure, and recommend a fundamental global MDS for RD patient records in health care networks.ConclusionsOur study highlights the difficulties in standardizing and categorizing findings from MDSs for RD because of the varying structures used in different studies. The fundamental RD MDS designed in this study comprehensively covers the data needs in the clinical and management sectors. These results can help public policy makers support other aspects of their policies. We highlight the potential of our results to help strategic decisions related to RD.Trial registrationPROSPERO CRD42021221593; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=221593.International registered report identifier (irrid)RR2-10.1016/j.procs.2021.12.034.

Dataset Information

New Opportunities for Cancer Health Services Research: Linking the SEER-Medicare Data to the Nursing Home Minimum Data Set.

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New Opportunities for Cancer Health Services Research: Linking the SEER-Medicare Data to the Nursing Home Minimum Data Set.

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