Medicaid bed-hold policies and hospitalization of long-stay nursing home residents.
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ABSTRACT: Objective
To evaluate the effect of Medicaid bed-hold policies on hospitalization of long-stay nursing home residents.Data sources
A nationwide random sample of long-stay nursing home residents with data elements from Medicare claims and enrollment files, the Minimum Data Set, the Online Survey Certification and Reporting System, and Area Resource File. The sample consisted of 22,200,089 person-quarters from 754,592 individuals who became long-stay residents in 17,149 nursing homes over the period beginning January 1, 2000 through December 31, 2005.Study design
Linear regression models using a pre/post design adjusted for resident, nursing home, market, and state characteristics. Nursing home and year-quarter fixed effects were included to control for time-invariant facility influences and temporal trends associated with hospitalization of long-stay residents.Principal findings
Adoption of a Medicaid bed-hold policy was associated with an absolute increase of 0.493 percentage points (95% CI: 0.039-0.946) in hospitalizations of long-stay nursing home residents, representing a 3.883 percent relative increase over the baseline mean.Conclusions
Medicaid bed-hold policies may increase the likelihood of hospitalization of long-stay nursing home residents and increase costs for the federal Medicare program.
SUBMITTER: Unruh MA
PROVIDER: S-EPMC3737418 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Recent public concern in response to states' intended repeal of Medicaid bed-hold policies and report of their association with higher hospitalization rates prompts examination of these policies in ensuring continuity of care within the broader context of Medicaid policies.Minimum Data Set assessments of long-stay nursing home residents in April-June 2000 linked to Medicare claims enabled tracking residents' hospitalizations during the ensuing 5 months and determining hospital discharge destination. Multinomial multilevel models estimated the effect of state policies on discharge destination controlling for resident, hospitalization, nursing home, and market characteristics.Among 77,955 hospitalizations, 5,797 (7.4 percent) were not discharged back to the baseline nursing home. Bed-hold policies were associated with lower odds of transfer to another nursing home (AOR=0.55, 95 percent CI 0.52-0.58) and higher odds of hospitalization (AOR=1.36), translating to 9.5 fewer nursing home transfers and 77.9 more hospitalizations per 1,000 residents annually, and costing Medicaid programs about $201,311. Higher Medicaid reimbursement rates were associated with lower odds of transfer.Bed-hold policies were associated with greater continuity of NH care; however, their high cost compared with their small impact on transfer but large impact on increased hospitalizations suggests that they may not be effective.
| S-EPMC2669621 | biostudies-literature
Project description:ObjectivesTo explore patterns of change in nursing home (NH) residents' activities of daily living (ADLs), particularly surrounding acute hospital stays.DesignLongitudinal study using Medicare and Minimum Data Set (MDS) assessments.SettingNational sample of long-stay NH residents.ParticipantsNH residents who were hospitalized for the seven most-common inpatient diagnoses (N = 40,128). Each hospital admission was at least 90 days after any prior hospitalization and had at least two preceding MDS assessments.MeasurementsThe MDS ADL long-form score, a simple sum of seven self-care variables coded from 0 (independent) to 4 (totally dependent) was used to indicate resident ADL function. Scores ranged from 0 to 28, with higher scores indicating greater impairment. A linear mixed model describing ADL trajectories was jointly estimated with time-to-event models for mortality and hospital readmission.ResultsBefore hospitalization, the most common trajectory was stable (53.7%), with 27.5% of residents worsening and 18.8% improving. ADL function after hospital discharge was most often characterized as stable (43.1%) or worsening (39.2%). Mortality (20.3%) was higher for those with worsening prehospital ADL function (28.9%) than for those with stable (19.1%) or improving (11.3%) trajectories. Hospital diagnosis was associated with amount of ADL worsening and rate of subsequent ADL change. Most residents with the best initial function continued to worsen after hospital discharge. Cognitive impairment was associated with poorer ADL function and accelerated worsening of ADLs.ConclusionFor many long-stay NH residents, substantial and sustained ADL worsening accompanies acute hospitalization, so acute hospitalization presents an opportunity to revisit care goals; the results of the current study can help inform decision-making.
| S-EPMC3831170 | biostudies-literature
Project description:ObjectiveTo analyze the effect of states' Medicaid bed-hold policies on the 30-day rehospitalization of Medicare postacute skilled nursing facility (SNF) residents.Data sourcesMinimum data set assessments were merged with Medicare claims and eligibility files for all first-time SNF admissions (N = 3,322,088) over the period 2000 through 2005; states' Medicaid bed-hold policies were obtained via survey.Study designRegression specification incorporating facility fixed effects to examine changes in Medicaid bed-hold policies on the likelihood of a 30-day SNF rehospitalization.Principal findingsUsing a continuous measure of bed-hold generosity, state Medicaid bed-hold was positively related to Medicare SNF rehospitalization. Specifically, the introduction of a bed-hold policy with average generosity increases Medicare rehospitalizations by 1.8 percent, representing roughly 12,000 SNF rehospitalizations at a cost to Medicare of approximately U.S.$100 million over our study period.ConclusionsAlthough facilities do not receive a Medicaid bed-hold payment for Medicare SNF stays, we found that the adoption of more generous policies led to greater SNF rehospitalizations. This type of spillover is largely ignored in current discussions of Medicare payment reforms such as bundled payment. Neither Medicare nor Medicaid has an incentive to internalize the risks and benefits of its actions as they affect the other.
| S-EPMC3029851 | biostudies-literature
Project description:Background/objectivesOverall and long-term opioid use among older adults have increased since 1999. Less is known about opioid use in older adults in nursing homes (NHs).DesignCross-sectional.SettingU.S. NHs (N = 13,522).ParticipantsLong-stay NH resident Medicare beneficiaries with a Minimum Data Set 3.0 (MDS) assessment between April 1, 2012, and June 30, 2012, and 120 days of follow-up (N = 315,949).MeasurementsWe used Medicare Part D claims to measure length of opioid use in the 120 days from the index assessment (short-term: ≤30 days, medium-term: >30-89 days, long-term: ≥90 days), adjuvants (e.g., anticonvulsants), and other pain medications (e.g., corticosteroids). MDS assessments in the follow-up period were used to measure nonpharmacological pain management use. Modified Poisson models were used to estimate adjusted prevalence ratios (aPR) and 95% confidence intervals (CI) for age, gender, race and ethnicity, cognitive and physical impairment, and long-term opioid use.ResultsOf all long-stay residents, 32.4% were prescribed any opioid, and 15.5% were prescribed opioids long-term. Opioid users (versus nonusers) were more commonly prescribed pain adjuvants (32.9% vs 14.9%), other pain medications (25.5% vs 11.0%), and nonpharmacological pain management (24.5% vs 9.3%). Long-term opioid use was higher in women (aPR = 1.21, 95% CI = 1.18-1.23) and lower in racial and ethnic minorities (non-Hispanic blacks vs whites: APR = 0.93, 95% CI = 0.90-0.94) and those with severe cognitive impairment (vs no or mild impairment, aPR = 0.82, 95% CI = 0.79-0.83).ConclusionOne in seven NH residents was prescribed opioids long-term. Recent guidelines on opioid prescribing for pain recommend reducing long-term opioid use, but this is challenging in NHs because residents may not benefit from nonpharmacological and nonopioid interventions. Studies to address concerns about opioid safety and effectiveness (e.g., on pain and functional status) in NHs are needed.
| S-EPMC5777877 | biostudies-literature
Project description:Previous studies estimate that >40% of long-stay nursing home (NH) residents experience persistent pain, with 20% of residents in pain receiving no analgesics. Strengthened NH surveyor guidance and improved pain measures on the Minimum Data Set 3.0 were introduced in March 2009 and October 2010, respectively. This study aimed to provide estimates after the important initiatives of (1) prevalence and correlates of persistent pain; and (2) prevalence and correlates of untreated or undertreated persistent pain. We identified 1,387,405 long-stay residents in U.S. NHs between 2011 and 2012 with 2 Minimum Data Set assessments 90 days apart. Pain was categorized as persistent (pain on both assessments), intermittent (pain on either assessment), or none. Pharmacologic pain management was classified as untreated pain (no scheduled or as needed medications received) or potentially undertreated (no scheduled received). Modified Poisson models adjusting for resident clustering within NHs provided adjusted prevalence ratios (APRs) estimates and 95% confidence intervals (CIs). The prevalence of persistent and intermittent pain was 19.5% and 19.2%, respectively, but varied substantially by age, sex, race and ethnicity, cognitive impairment, and cancer. Of residents in persistent pain, 6.4% and 32.0% were untreated and undertreated, respectively. Racial and ethnic minorities (non-Hispanic blacks vs whites, APR = 1.19, 95% CI: 1.13-1.25) and severely cognitively impaired residents (severe vs no/mild APR = 1.51, 95% CI: 1.44-1.57) had an increased prevalence of untreated and undertreated pain. One in 5 NH residents has persistent pain. Although this estimate is greatly improved, many residents may be undertreated. The disturbing disparities in untreated and undertreated pain need to be addressed.
| S-EPMC5435509 | biostudies-literature
Project description:ObjectivesTo evaluate the prevalence and factors associated with statin pharmacotherapy in long-stay nursing home residents with life-limiting illness.DesignCross-sectional.SettingUS Medicare- and Medicaid-certified nursing home facilities.ParticipantsLong-stay nursing home resident Medicare fee-for-service beneficiaries aged 65 years or older with life-limiting illness (n = 424 212).MeasurementsPrevalent statin use was estimated as any low-moderate intensity (daily dose low-density lipoprotein-cholesterol [LDL-C] reduction <30%-50%) and high-intensity (daily dose LDL-C reduction >50%) use via Medicare Part D claims for a prescription supply on September 30, 2016, with a 90-day look-back period. Life-limiting illness was operationally defined to capture those near the end of life using evidence-based criteria to identify progressive terminal conditions or limited prognoses (<6 mo). Poisson models provided estimates of adjusted prevalence ratios and 95% confidence intervals for resident factors.ResultsA total of 34% of residents with life-limiting illness were prescribed statins (65-75 y = 44.0%, high intensity = 11.1%; >75 y = 31.1%, high intensity = 5.4%). Prevalence of statins varied by life-limiting illness definition. Of those with a prognosis of less than 6 months, 23% of the 65 to 75 and 12% of the older than 75 age groups were on statins. Factors positively associated with statin use included minority race or ethnicity, use of more than five concurrent medications, and atherosclerotic cardiovascular disease or risk factors.ConclusionDespite having a life-limiting illness, more than one-third of clinically compromised long-stay nursing home residents remain on statins. Although recent national guidelines have expanded indications for statins, the benefit of continued therapy in an advanced age population near the end of life is questionable. Efforts to deprescribe statins in the nursing home setting may be warranted. J Am Geriatr Soc 68:708-716, 2020.
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Project description:ObjectivesTo model the predictors of the time to first acute hospitalization for nursing home residents, and accounting for previous hospitalizations, model the predictors of time between subsequent hospitalizations.Data sourcesMerged file from New York State for the period 1998-2004 consisting of nursing home information from the minimum dataset and hospitalization information from the Statewide Planning and Research Cooperative System.Study designAccelerated failure time models were used to estimate the model parameters and predict survival times. The models were fit to observations from 50 percent of the nursing homes and validated on the remaining observations.Principal findingsPressure ulcers and facility-level deficiencies were associated with a decreased time to first hospitalization, while the presence of advance directives and facility staffing was associated with an increased time. These predictors of the time to first hospitalization model had effects of similar magnitude in predicting the time between subsequent hospitalizations.ConclusionsThis study provides novel evidence suggesting modifiable patient and nursing home characteristics are associated with the time to first hospitalization and time to subsequent hospitalizations for nursing home residents.
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Project description:BackgroundInterventions to reduce potentially risky hospitalizations among nursing home residents are highly relevant for patient safety and quality improvement. A catalog of nursing home-sensitive conditions (NHSCs) grounds the policy recommendations and interventions.MethodsIn two previous research phases, an expert panel developed a catalog of 58 NHSCs using an adapted Delphi-procedure (the RAND/UCLA Appropriateness Method). This procedure was developed by the North American non-profit Research and Development Organisation (RAND) and clinicians of the University of California in Los Angeles (UCLA). We present the third phase of the project focused on the development of interventions to reduce NHSCs starting with an expert workshop. The workshop results were then evaluated by six experts from related sectors, supplemented, and systematically used to produce recommendations for action. Possible implementation obstacles were considered and the time horizon of effectiveness was estimated.ResultsThe recommendations address communication, cooperation, documentation and care competence as well as facility-related, financial, and legal aspects. Indication bundles demonstrate the relevance for the German healthcare system. To increase effectiveness, the experts advise a meaningful combination of individual recommendations.DiscussionBy optimizing multidisciplinary communication and cooperation, combined with an- also digital - expansion of the infrastructure and the creation of institution-specific and legal prerequisites as well as remuneration structures, an estimated 35% of all hospitalizations, approximately 220,000 hospitalizations for Germany, could be prevented. The implementation expenditure could be refinanced by avoided hospitalization savings amounting to 768 million euros.
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Project description:Objective/study questionTo examine racial/ethnic differences in influenza and pneumococcal vaccination receipt and nonreceipt among nursing home (NH) residents post implementation of federal vaccination policy. DATA SOURCES/STUDY SETTING/STUDY DESIGN/DATA COLLECTION/EXTRACTION METHODS: An analysis of a merged national cross-sectional dataset containing resident assessment, facility, and community data for years 2010-2013 was conducted. Logistic regressions omitting and including facility fixed effects were used to examine the influence of race and ethnicity (black, Hispanic, white) and black concentration on vaccination status across and within NHs.Principle findingsVaccination receipt of 107,874 residents in 742 NHs was examined. Blacks were less likely than whites to receive influenza and pneumococcal vaccinations (OR = 0.75; OR = 0.81, respectively, p-values <.001). The likelihood of not being offered the influenza vaccination was greater for blacks (OR=1.25, p = .004) and the likelihood of not being offered the pneumococcal vaccination was greater for Hispanics (OR = 1.65, p = .04) compared to whites. Fixed effects showed that within the same NH, Hispanics were more likely to receive both vaccinations compared to whites (OR=1.22, p = .004 (influenza); OR=1.34, p < .001 (pneumococcal)). Facilities highly concentrated with blacks accounted for large proportions of differences seen in vaccination receipt.ConclusionsRacial/ethnic differences remain despite policy changes. Focused strategies aimed at NH personnel and racially segregated NHs are critical to improving vaccination delivery and eliminating disparities in care.
| S-EPMC6051976 | biostudies-literature
Project description:Nursing home bed-hold policies provide continuity of care for Medicaid beneficiaries by paying nursing homes to reserve beds so residents can return to their facility of occupancy following an acute hospitalization. In 2001, Michigan implemented bed-hold policies in nursing homes. We investigated the impact of these policies on mortality and hospitalizations using 1999-2004 quarterly data from nursing homes in Michigan and nursing homes in 11 states that did not implement such policies. Synthetic Control has been used to estimate the effects of policies by accounting for changes over time unrelated to the intervention. Synthetic Control is intended for scalar continuous outcome at each period, and assumes a single treated unit and multiple control units. We propose a Bayesian procedure to overcome these limitations. It imputes the outcomes of nursing homes in Michigan if they were not exposed to the policy by matching to non-exposed nursing homes that are associated with the exposed ones in the pre-policy period. Because sampling from a Bayesian model is computationally challenging, we describe an approximation procedure that can be implemented using existing software. Our approach can be applied to other studies that examine the impact of policies.
| S-EPMC6180940 | biostudies-literature