Relationship between state medicaid policies, nursing home racial composition, and the risk of hospitalization for black and white residents

OBJECTIVE: To examine racial differences in the risk of hospitalization for nursing home (NH) residents. DATA SOURCES: National NH Minimum Data Set, Medicare claims, and Online Survey Certification and Reporting data from 2000 were merged with independently collected Medicaid policy data. STUDY DESIGN: One hundred and fifty day follow-up of 516,082 long-stay residents. PRINCIPLE FINDINGS: 18.5 percent of white and 24.1 percent of black residents were hospitalized. Residents in NHs with high concentrations of blacks had 20 percent higher odds (95 percent confidence interval [CI]=1.15-1.25) of hospitalization than residents in NHs with no blacks. Ten-dollar increments in Medicaid rates reduced the odds of hospitalization by 4 percent (95 percent CI=0.93-1.00) for white residents and 22 percent (95 percent CI=0.69-0.87) for black residents. CONCLUSIONS: Our findings illustrate the effect of contextual forces on racial disparities in NH care.     

The quality of the quality indicator of pain derived from the minimum data set

OBJECTIVE: To examine facility variation in data quality of the level of pain documented in the minimum data set (MDS) as a function of level of hospice enrollment in nursing homes (NHs). DATA SOURCE: Clinical assessments on 3,469 nonhospice residents from 178 NHs were merged with On-line Survey Certification and Reporting data of 2000, Medicare Claims data of 2000 and the MDS of 2000-2002. STUDY DESIGN: Using the same assessment protocol, NH staff and study nurses independently assessed 3,469 nonhospice residents. Study nurses' assessments being gold standard, we quantified and compared quality of NH staff's pain rating across NHs with high, medium, or low hospice use. Multilevel models were built to assess the effect of NH hospice use levels on the occurrence of false positive (FP) and false negative (FN) errors in NH-rated "severe pain." PRINCIPAL FINDINGS: Of 178 NHs, 25 had medium and 41 high hospice use. NHs with higher hospice use had lower sensitivities. In multilevel analysis, we found a significant facility-level variation in the probability of FP and FN errors in facility-rated "severe pain." Resident characteristics only explained 4 and 0 percent of the facility variation in FP and FN, respectively; characteristics and locations (state) of NHs further explained 53 and 52 percent of the variance. After controlling for resident and NH characteristics, staff in NHs with medium or high hospice use were less likely to have FP or FN errors in their MDS documentation of pain than were staff in NHs with low or no hospice use. CONCLUSIONS: The examination of data quality of pooled MDS data from multiple NHs is insufficient. Multilevel analysis is needed to elucidate sources of heterogeneity in the quality of MDS data across NHs. Facility characteristics, e.g., hospice use or NH location, are systematically associated with overrated/underrated pain and may bias pain quality indicator (QI) comparisons. To ensure the integrity of QI comparison in the NH setting, the government may need to institute regular audits of MDS data quality.     

Colorectal cancer screening in the elderly population: disparities by dual Medicare-Medicaid enrollment status

OBJECTIVES: To assess the disparities in colorectal cancer (CRC) screening between elderly dual Medicare-Medicaid enrollees (or duals), the most vulnerable subgroup of the Medicare population, and nonduals. DATA SOURCES/STUDY SETTING: The 1999 Medicare Denominator File, the Medicare Outpatient Standard Analytic Files, and Physician Supplier Part B files. In addition, the 1998 Area Resource File was used as a source for county-level attributes. DATA COLLECTION/EXTRACTION METHODS: CRC screening procedures for 1999-fecal occult blood test (FOBT), flexible sigmoidoscopy (FLEX), colonoscopy with FOBT and/or FLEX (COL-WFF), and colonoscopy only (COL-ONLY)-were extracted from claim records, using diagnostic and procedure codes. Duals (n = 2.5 million) and nonduals (n = 20.2 million) receiving their care through the fee-for-service system were identified from the Denominator file. Hierarchical logistic regression analysis was conducted to adjust for individual- and county-level characteristics. PRINCIPAL FINDINGS: Compared with nonduals, duals were disproportionately represented by female, older-old, and minority individuals (respectively 74.4 versus 58.5 percent; 19.3 versus 10.8 percent; 35.7 versus 8.0 percent), and CRC screening was significantly lower in duals than in nonduals (5.1 versus 12.2 percent for FOBT adjusted odds ratio [AOR]: 0.48, 95 percent confidence interval [CI]: 0.45-0.51); 0.7 versus 1.9 percent for FLEX, (AOR: 0.55, 95 percent CI: 0.49-0.61); 0.4 versus 0.8 percent for COL-WFF (AOR: 0.60, 95 percent CI: 0.54-0.67); and 1.8 versus 2.5 percent for COL-ONLY (AOR: 0.85, 95 percent CI: 0.80-0.89); p < .001 for all comparisons. CONCLUSIONS: Duals are significantly less likely than nonduals to undergo CRC screening, even after adjusting for individual- and county-level covariates. Future studies should evaluate the contribution of comorbidity and low socioeconomic status to these disparities.     

Managed care and preventable hospitalization among Medicaid adults

OBJECTIVE: The study examines the association between managed care enrollment and preventable hospitalization patterns of adult Medicaid enrollees hospitalized in four states. DATA SOURCES/STUDY SETTING: Hospital discharge data from the Healthcare Cost and Utilization Project (HCUP) database of the Agency for Healthcare Research and Quality (AHRQ) for New York (NY), Pennsylvania (PA), Wisconsin (WI), and Tennessee (TN) residents in the age group 20-64 hospitalized in those states, linked to the Area Resource File (ARF) and American Hospital Association (AHA) survey files for 1997. STUDY DESIGN: The study uses separate logistic models for each state comparing preventable admissions with marker admissions (urgent, insensitive to primary care). The model controls for socioeconomic and demographic variables, and severity of illness. PRINCIPAL FINDINGS: Consistently in different states, private health maintenance organization (HMO) enrollment was associated with fewer preventable admissions than marker admissions, compared to private fee-for-service (FFS). However, Medicaid managed care enrollment was not associated with a reduction in preventable admissions, compared to Medicaid FFS. CONCLUSIONS: Our analysis suggests that the preventable hospitalization pattern for private HMO enrollees differs significantly from that for commercial FFS enrollees. However, little difference is found between Medicaid HMO enrollees and Medicaid FFS patients. The findings did not vary by the level of Medicaid managed care penetration in the study states.     

Which Nursing Home Residents With Pneumonia Are Managed On-Site and Which Are Hospitalized? Results from 2 Years' Surveillance in 14 US Homes

ObjectivesPneumonia is a frequent cause of hospitalization among nursing home (NH) residents, but little information is available as to how clinical presentation and other characteristics relate to hospitalization, and the differential use of antimicrobials based on hospitalization status. This study examined how hospitalized and nonhospitalized NH residents with pneumonia differ.DesignData from a 2-year prospective study of residents who participated in a randomized controlled trial.Setting and ParticipantsAll residents from 14 NHs in North Carolina followed for pneumonia over a 2-year period.MethodsClinical features, antimicrobial treatment, hospitalization, and demographic data on residents with a pneumonia diagnosis were abstracted from charts; NH information was obtained from NH administrators.ResultsA total of 509 pneumonia episodes were reported for 395 unique residents; the incidence was not higher in the winter months, and 28% were hospitalized. The likelihood of hospitalization did not differ by clinical characteristics except that residents with a respiratory rate >25 breaths per minute were more likely to be hospitalized. Being on hospice [odds ratio (OR) 3.3, 95% confidence interval (CI) 1.5–7.4] and not having dementia (OR 1.9, 95% CI 1.1–3.2) also related to increased likelihood of hospitalization. Fluoroquinolone (usually levofloxacin) monotherapy was the most common treatment (54%) in both settings, and ceftriaxone monotherapy varied by hospitalization status (7% of hospitalized vs 16% treated on-site). Approximately 36% of nonhospitalized residents received antimicrobials for more than 7 days.Conclusions/ImplicationsRespiratory rate is associated with hospitalization but was not documented for more than a quarter of residents, suggesting the clinical benefit of more consistently conducting this assessment. Differential hospitalization rates for persons with dementia and on hospice suggest that care is being tailored to individuals' wishes, but this assumption merits study, as does use of fluoroquinolones (due to side effects) and treatment duration (due to potential contribution to antibiotic resistance).     

State Variability in Assisted Living Residents’ End-of-Life Care Trajectories

ObjectiveA growing and increasingly vulnerable population resides in assisted living. States are responsible for regulating assisted living and vary in their requirements. Little is known about how this variability translates to differences in the dying experiences of assisted living residents. The objective of this study is to describe assisted living residents’ end-of-life care trajectories and how they vary by state.DesignObservational retrospective cohort study.Setting and ParticipantsUsing Medicare data and a methodology developed to identify beneficiaries residing in larger assisted living communities (25+ beds), we identified a cohort of 40,359 assisted living residents in the continental United States enrolled in traditional Medicare and who died in 2016.MethodsWe used Medicare data and the Residential History File to examine assisted living residents’ locations of care and services received in the last 30 days of life.ResultsNationally, 57% of our cohort died outside of an institutional setting, that is, hospital or nursing home (n = 23,165), 18,396 of whom received hospice at the time of death. Rates of hospitalization and transition to a nursing home increased during the last 30 days of life. We observed significant interstate variability in the adjusted number of days spent in assisted living in the month before death [from 13.6 days (95% confidence interval [CI] 11.8, 15.4) in North Dakota to 24.0 days (95% CI 22.7, 25.2) in Utah] and wider variation in the adjusted number of days receiving hospice in the last month of life, ranging from 2.1 days (95% CI 1.0, 3.2) in North Dakota to 13.8 days (95% CI 12.1, 15.5) in Utah.Conclusions and ImplicationsFindings suggest that assisted living residents’ dying trajectories vary significantly by state. To ensure optimal end-of-life outcomes for assisted living residents, state policy makers should consider how their regulations influence end-of-life care in assisted living, and future research should examine factors (eg, state regulations, market characteristics, provider characteristics) that may enable assisted living residents to die in place and contribute to differential access to hospice services.     

The Utility of the State Buy-In Variable in the Medicare Denominator File to Identify Dually Eligible Medicare-Medicaid Beneficiaries: A Validation Study

Objective. To compare the adequacy of the state buy-in variable (SBI) in the Medicare denominator file to identify dually eligible patients.
Data Source/Study Settings. We used linked Medicare and Medicaid data from Michigan and Ohio for elders diagnosed with incident breast, prostate, or colorectal cancer between 1996 and 2001.
Study Design. Using the Medicaid enrollment file as the "gold standard," we assessed the number of duals from Medicare files in cross-sectional and longitudinal analyses.
Data Collection/Extraction Methods. Data for the study population were linked with Medicare and Medicaid files using patient identifiers.
Principal Findings. Sensitivity was low (74.2 percent, 95 percent confidence interval [CI]: 72.7, 75.6 and 80.8 percent, 79.7, 81.9, in Michigan and Ohio, respectively). PPV was above 95 percent in Michigan and 88.8 percent in Ohio. Both sensitivity and PPV varied between and within the states. Both in Michigan and in Ohio, we observed limited agreement on the length of enrollment in Medicaid between the two data sources.
Conclusions. Except to examine disparities by dual status at a very broad level, the SBI variable alone may be inadequate to identify duals. The findings call for improvements in Medicare and Medicaid information management systems and for uniformity in database linking strategies.     

Hospice Characteristics and the Disenrollment of Patients with Cancer

Objective. To characterize the types of hospices with higher rates of patient disenrollment from the Medicare Hospice Benefit and the markets in which these hospices operate. Data Source. Secondary analyses of Surveillance, Epidemiology and End Results‐Medicare data. Analyses included patients who died of cancer from 1998 to 2002 and who used hospice (n=90,826). Study Design. We used generalized estimating equations to estimate the association of patient disenrollment with hospice size, years since Medicare certification, ownership, staff mix, competition, urban/rural status, region, and fiscal intermediary. Other covariates included patient demographic and clinical characteristics. Principal Findings. Patients were more likely to disenroll from hospice if they were served by newer hospices (OR=1.14; 95 percent CI 1.03, 1.26), by smaller hospices (OR=1.11; 95 percent CI 1.02, 1.20), or by hospices in more competitive markets (OR=1.17; 95 percent CI 1.03, 1.35). There was an independent effect of the hospice's fiscal intermediary on disenrollment, particularly disenrollment after 6 months with hospice (Wald χ²=21.2, p=.007). Conclusions. The reasons for higher disenrollment rates for newer hospices, for smaller hospices, and for hospices in highly competitive markets are likely complex; however, results suggest that there are organizational‐level barriers to keeping patients with cancer enrolled with hospice. Variation across fiscal intermediaries may indicate that regulatory oversight, particularly of long‐stay patients, influences hospice disenrollment.     

Cost differences between hospice and nonhospice care. A comparison of insurer payments and provider charges.

Although it has been postulated that hospice care savings are "biased" when costs are measured in terms of insurer payments instead of provider charges, this claim has not been documented by research. This article examines cost differences between hospice and nonhospice care, first, by analyzing Medicare Part A payments and, second, by studying provider charges for services rendered to a population of 24 cancer patients during their last 24 weeks of life. The exploratory results of the study showed that although the cost savings derived from analyzing provider charges were about double those based on Medicare Part A payments, both approaches to the measurement of cost strongly indicated that hospice home care was less costly than nonhospice care. Further analysis showed that variations in the rates of Medicare reimbursement accounted for 22 to 42% of the differences in the derived cost savings between the two approaches to measuring cost, and that payments to hospitals played a major role in determining this outcome.     

Hospitalization of nursing home residents: the effects of states' Medicaid payment and bed-hold policies

OBJECTIVE: Hospitalizations of nursing home residents are costly and expose residents to iatrogenic disease and social and psychological harm. Economic constraints imposed by payers of care, predominantly Medicaid policies, are hypothesized to impact hospitalizations. DATA SOURCES/STUDY SETTING: Federally mandated resident assessments were merged with Medicare claims and eligibility files to determine hospitalizations and death within 150 days of baseline assessment. Nursing home and market characteristics were obtained from the Online Survey Certification and Reporting, and the Area Resource File, respectively. States' average daily Medicaid nursing home payments and bed-hold policies were obtained independently. STUDY DESIGN: Prospective cohort study of 570,614 older (> or =65-year-old), non-MCO (Medicare Managed Care), long-stay (> or =90 days) residents in 8,997 urban, freestanding nursing homes assessed between April and June 2000, using multilevel models to test the impact of state policies on hospitalizations controlling for resident, nursing home, and market characteristics. PRINCIPAL FINDINGS: Overall, 99,379 (17.4 percent) residents were hospitalized with rates varying from 8.4 percent in Utah to 24.9 percent in Louisiana. Higher Medicaid per diem was associated with lower odds of hospitalizations (5 percent lower for each $10 above average $103.5, confidence intervals [CI] 0.91-0.99). Hospitalization odds were higher by 36 percent in states with bed-hold policies (CI: 1.12-1.63). CONCLUSIONS: State Medicaid bed-hold policy and per-diem payment have important implications for nursing home hospitalizations, which are predominantly financed by Medicare. This study emphasizes the importance of properly aligning state Medicaid and federal Medicare policies in regards to the subsidy of acute, maintenance, and preventive care in the nursing home setting.     

Where do elderly veterans obtain care for acute myocardial infarction: Department of Veterans Affairs or Medicare?

OBJECTIVE: To examine Department of Veterans Affairs (VA) and Medicare hospitalizations for elderly veterans with acute myocardial infarction (AMI), their use of cardiac procedures in both systems, and patient mortality. DATA SOURCES: Merging of inpatient discharge abstracts obtained from VA Patient Treatment Files (PTF) and Medicare MedPAR Part A files. STUDY DESIGN: A retrospective cohort study of male veterans 65 years or older who were prior users of the VA medical system (veteran-users) and who were initially admitted to a VA or Medicare hospital with a primary diagnosis of AMI at some time from January 1, 1988 through December 31, 1990 (N = 25,312). We examined the use of cardiac catheterization, coronary bypass surgery, and percutaneous transluminal coronary angioplasty in the 90 days after initial admission for AMI in both VA and Medicare systems, and survival at 30 days, 90 days, and one year. Other key measures included patient age, race, marital status, comorbidities, cardiac complications, prior utilization, and the availability of cardiac technology at the admitting hospital. PRINCIPAL FINDINGS: More than half of veteran-users (54 percent) were initially hospitalized in a Medicare hospital when they suffered an AMI. These Medicare index patients were more likely to receive cardiac catheterization (OR 1.24, 95% C.I. 1.17-1.32), coronary bypass surgery (OR 2.01, 95% C.I. 1.83-2.20), and percutaneous transluminal coronary angioplasty (OR 2.56, 95% C.I. 2.30-2.85) than VA index patients. Small proportions of patients crossed over between systems of care for catheterization procedures (VA to Medicare = 3.3%, and Medicare to VA = 5.1%). Many VA index patients crossed over to Medicare hospitals to obtain bypass surgery (27.6 percent) or coronary angioplasty (12.1 percent). Mortality was not significantly different between veteran-users who were initially admitted to VA versus Medicare hospitals. CONCLUSIONS: Dual-system utilization highlights the need to look at both systems of care when evaluating access, costs, and quality either in VA or in Medicare systems. Policy changes that affect access to and utilization of one system may lead to unpredictable results in the other.     

Trends in inpatient treatment intensity among Medicare beneficiaries at the end of life

OBJECTIVE: Although an increasing fraction of Medicare beneficiaries die outside the hospital, the proportion of total Medicare expenditures attributable to care in the last year of life has not dropped. We sought to determine whether disproportionate increases in hospital treatment intensity over time among decedents are responsible for the persistent growth in end-of-life expenditures. DATA SOURCE: The 1985-1999 Medicare Medical Provider Analysis and Review (MedPAR) and Denominator files. STUDY DESIGN: We sampled inpatient claims for 20 percent of all elderly fee-for-service Medicare decedents and 5 percent of all survivors between 1985 and 1999 and calculated age-, race-, and gender-adjusted per-capita inpatient expenditures and rates of intensive care unit (ICU) and intensive procedure use. We used the decedent-to-survivor expenditure ratio to determine whether growth rates among decedents outpaced growth relative to survivors, using the growth rate among survivors to control for secular trends in treatment intensity. Data Collection. The data were collected by the Centers for Medicare and Medicaid Services. PRINCIPAL FINDINGS: Real inpatient expenditures for the Medicare fee-for-service population increased by 60 percent, from $58 billion in 1985 to $90 billion in 1999, one-quarter of which were accrued by decedents. Between 1985 and 1999 the proportion of beneficiaries with one or more intensive care unit (ICU) admission increased from 30.5 percent to 35.0 percent among decedents and from 5.0 percent to 7.1 percent among survivors; those undergoing one or more intensive procedure increased from 20.9 percent to 31.0 percent among decedents and from 5.8 percent to 8.5 percent among survivors. The majority of intensive procedures in the United States were performed in the more numerous survivors, although in 1999 50 percent of feeding tube placements, 60 percent of intubations/tracheostomies, and 75 percent of cardiopulmonary resuscitations were in decedents. The proportion of beneficiaries dying in a hospital decreased from 44.4 percent to 39.3 percent, but the likelihood of being admitted to an ICU or undergoing an intensive procedure during the terminal hospitalization increased from 38.0 percent to 39.8 percent and from 17.8 percent to 30.3 percent, respectively. One in five Medicare beneficiaries who died in the hospital in 1999 received mechanical ventilation during their terminal admission. CONCLUSIONS: Inpatient treatment intensity for all fee-for-service beneficiaries increased between 1985 and 1999 regardless of survivorship status. Absolute changes in per-capita hospital expenditures, ICU admissions, and intensive inpatient procedure use were much higher among decedents. Relative changes were similar except for ICU admissions, which grew faster among survivors. The secular decline in in-hospital deaths has not resulted in decreased per capita utilization of expensive inpatient services in the last year of life. This could imply that net hospital expenditures for the dying might have been even higher over this time period if the shift toward hospice had not occurred.     

How Much Is Postacute Care Use Affected by Its Availability?

OBJECTIVE: To assess the relative impact of clinical factors versus nonclinical factors-such as postacute care (PAC) supply-in determining whether patients receive care from skilled nursing facilities (SNFs) or inpatient rehabilitation facilities (IRFs) after discharge from acute care. DATA SOURCES AND STUDY SETTING: Medicare acute hospital, IRF, and SNF claims provided data on PAC choices; predictors of site of PAC chosen were generated from Medicare claims, provider of services, enrollment file, and Area Resource File data. STUDY DESIGN: We used multinomial logit models to predict PAC use by elderly patients after hospitalizations for stroke, hip fractures, or lower extremity joint replacements. DATA COLLECTION/EXTRACTION METHODS: A file was constructed linking acute and postacute utilization data for all medicare patients hospitalized in 1999. PRINCIPAL FINDINGS: PAC availability is a more powerful predictor of PAC use than the clinical characteristics in many of our models. The effects of distance to providers and supply of providers are particularly clear in the choice between IRF and SNF care. The farther away the nearest IRF is, and the closer the nearest SNF is, the less likely a patient is to go to an IRF. Similarly, the fewer IRFs, and the more SNFs, there are in the patient's area the less likely the patient is to go to an IRF. In addition, if the hospital from which the patient is discharged has a related IRF or a related SNF the patient is more likely to go there. CONCLUSIONS: We find that the availability of PAC is a major determinant of whether patients use such care and which type of PAC facility they use. Further research is needed in order to evaluate whether these findings indicate that a greater supply of PAC leads to both higher use of institutional care and better outcomes-or whether it leads to unwarranted expenditures of resources and delays in returning patients to their homes.     

The Effect of Advance Care Planning Intervention on Hospitalization Among Nursing Home Residents: A Systematic Review and Meta-Analysis

ObjectiveTo evaluate the effect of advance care planning (ACP) interventions on the hospitalization of nursing home residents.DesignSystematic review and meta-analysis.Setting and ParticipantsNursing homes and nursing home residents.MethodsA literature search was systematically conducted in 6 electronic databases (Embase, Ovid MEDLINE, Cochrane Library, CINAHL, AgeLine, and the Psychology & Behavioral Sciences Collection), in addition to hand searches and reference list checking; the articles retrieved were those published from 1990 to November 2021. The eligible studies were randomized controlled trials, controlled trials, and pre-post intervention studies describing original data on the effect of ACP on hospitalization of nursing home residents; these studies had to be written in English. Two independent reviewers appraised the quality of the studies and extracted the relevant data using the Joanna Briggs Institute abstraction form and critical appraisal tools. A study protocol was registered in PROSPERO (CRD42022301648).ResultsThe initial search yielded 744 studies. Nine studies involving a total of 57,180 residents were included in the review. The findings showed that the ACP reduced the likelihood of hospitalization [relative risk (RR) 0.54, 95% CI 0.47-0.63; I² = 0%)], it had no effect on emergency department (ED) visits (RR 0.60, 95% CI 0.31-1.42; I² = 99), hospice enrollment (RR 0.98, 95% CI 0.88-1.10; I² = 0%), mortality (RR 0.83, 95% CI 0.68-1.00; I² = 4%), and satisfaction with care (standardized mean difference: ?0.04, 95% CI ?0.14 to ?0.06; I² = 0%).Conclusion and ImplicationsACP reduced hospitalizations but did not affect the secondary outcomes, namely, ED visits, hospice enrollment, mortality, and satisfaction with care. These findings suggest that policy makers should support the implementation of ACP programs in nursing homes. More robust studies are needed to determine the effects of ACP on ED visits, hospice enrollment, mortality, and satisfaction with care.     

Parental mental and pain-related health and pediatric ambulatory care sensitive emergency department visits and hospitalizations

OBJECTIVE: To investigate the types of parental psychiatric and pain-related (PR) conditions that are associated with inadequate management of children's health and medical needs. DATA SOURCES: The 1997-1998 Thomson/Medstat MarketScan claims and administrative dataset. STUDY DESIGN: A cross-sectional study that assessed the associations between parents' claims for psychiatric and PR conditions, and their children's well-child care as well as emergency department (ED) visits and hospitalizations for conditions that can be treated effectively in outpatient settings (ambulatory care sensitive [ACS] conditions). DATA EXTRACTION METHODS: Claims were extracted for 258,313 children of ages 0-17 years and their parents, who had insurance coverage for a full 2-year period. PRINCIPLE FINDINGS: Multiple parental psychiatric and PR diagnoses were associated with child ACS emergency services/hospitalizations. Maternal depression was negatively associated with a child having the recommended well-child visits (odds ratio [OR]: 0.92, 95 percent confidence intervals [CI]: 0.84-0.99). The combined diagnoses of maternal depression and back pain was positively associated with a child having an ACS-ED visit (OR: 1.64, 95 percent CI: 1.33-2.03) and a child having an ACS hospitalization (OR: 2.04, 95 percent CI: 1.34-3.09). CONCLUSIONS: Pediatricians' ability to manage child health may be enhanced with coordinated management of parental psychopathology and PR health conditions.     

Hospice Care: What Services Do Patients and Their Families Receive?

OBJECTIVE: To determine the degree to which patients and families enrolled with hospice received services across key categories of palliative care, the extent of hospice-level variability in services delivered, and changes over time in services delivered. DATA SOURCE: Nationally representative sample of 9,409 discharged patients from 2,066 hospices in the National Home and Hospice Care Survey. STUDY DESIGN: Observational, cross-sectional study conducted from 1992 to 2000. The primary outcome is the receipt of services across five key categories of palliative care: nursing care, physician care, medication management, psychosocial care, and caregiver support. DATA COLLECTION: Data were obtained via interview with the hospice staff member most familiar with the patient's care, in conjunction with medical record review. PRINCIPLE FINDINGS: In 2000, 22 percent of patients enrolled with hospice received services across five key categories of palliative care. There was marked variation across hospices in service delivery. One-third of hospices provided patients and families services in one or two of the five key categories of palliative care, whereas 14 percent of hospices provided services across five key categories of palliative care. In multivariable analysis, the odds of receiving any additional hospice service was significantly greater in later compared with earlier years (odds ratio=1.10, 95 percent confidence interval 1.01-1.20). Nevertheless, the percentages of patients in 2000 receiving medication management (59 percent), respite care (7 percent), and physician services (30 percent) remained low. CONCLUSIONS: Hospice care for patients and families varies substantially across hospices. Whereas some hospices provide services across the key categories of palliative care, other hospices do not provide this breadth of services. Greater understanding of the causes of variation in service delivery as well as its impact on patient and family outcomes and satisfaction with end-of-life care is a critical subject for future research. Changes in Medicare's reimbursement policies may help hospices increase the range of services provided to patients and families.     

Predictors of live hospice discharge: data from the National Home and Hospice Care Survey (NHHCS)

In the context of the current regulatory environment, patients may be discharged from hospice if their condition stabilizes or improves over time and the certifying physician is unable to provide a conscientious recertification of the six-month prognosis. Little is known about the characteristics or outcomes of patients who are determined by physicians to no longer be eligible for hospice care. This retrospective study was designed to characterize the rates and predictors of live hospice discharge using data from the 1996 and 1998. National Home and Hospice Care Survey (NHHCS). We compare records of live hospice discharge with hospice discharges due to death from the discharge patient files of the 1996 and the 1998 NHHCS. Of the 807,733 patients in the combined 1996 and 1998 NHHCS discharge patient file who met study inclusion criteria, 761,858 (94 percent) were deceased and 45,875 (6 percent) were discharged alive. Those who were discharged alive were more likely to be female, have received hospice care for more than 60 days, and to have had a noncancer diagnosis, particularly advanced cardiopulmonary or neurologic disease. Mean age and total number of assistive medical devices used did not differ significantly between patients who were discharged alive and those who died in hospice care. Factors most associated with live hospice discharge, using bivariate analyses, were length of service greater than 60 days (OR, 6.60; 95 percent CI, 6.47-6.73), cardiopulmonary diagnosis (OR, 3.24; 95 percent CI, 3.19-3.30), and neurologic diagnosis (OR, 2.73; 95 percent CI, 2.67-2.79). Multivariate logistic regression identified length of service greater than 60 days, cardiopulmonary diagnosis, neurologic diagnosis, female gender, worse functional status, and living in an institutional setting as being independently associated with live hospice discharge. We found that patients who were discharged alive from hospice care were more likely to have longer lengths of service, noncancer diagnoses, and better functional status than those who died while receiving hospice care. Age was not associated with discharge disposition. Given the demonstrated differences between these patients and those who died while receiving hospice care, these data provide further impetus for careful study of the appropriateness of current hospice eligibility criteria, the determinants of hospice discharge and, most important, the outcomes of patients who are discharged alive from hospice and the impact of hospice discharge on patients and their families.     

Are Gatekeeper Requirements Associated with Cancer Screening Utilization?

OBJECTIVE: There is widespread debate over whether health plans should require enrollees to use "gatekeepers," which are primary care providers that coordinate care and control access to specialists. However, little is known about whether health plan gatekeeper requirements improve or reduce quality-of-care. Our objective was to examine whether gatekeeper requirements are associated with the utilization of cancer screening for breast, cervical, and prostate cancer. DATA SOURCES: Three linked sources (N = 13,534): (1) 1996 Medical Expenditure Panel Survey (MEPS) Household Survey, a nationally representative, ongoing survey sponsored by the Agency for Healthcare Research and Quality; (2) 1996 MEPS Health Insurance Plan Abstraction, which codes data from health plan booklets obtained from privately insured respondents, and (3) 1995 National Health Interview Survey. STUDY DESIGN/DATA COLLECTION: Cross-sectional, multivariate logistic regression analysis using secondary data. PRINCIPAL FINDINGS: We found in multivariate analyses that women in gatekeeper plans were significantly more likely to obtain mammography screening (Odds Ratio [OR] = 1.22, 95 percent Confidence Interval [CI] 1.07-1.40), clinical breast examinations (OR = 1.39, 95 percent CI 1.23-1.57), and Pap smears (OR = 1.33, 95 percent CI 1.16-1.52) than women not in gatekeeper plans. In contrast, gatekeeper requirements were not associated with prostate cancer screening (OR = 1.11, 95 percent CI 0.93-1.33). We found no association between screening utilization and aggregate plan types (HMO, POS, PPO, FFS). CONCLUSIONS: Gatekeeper requirements are associated with higher utilization of widely recommended cancer screening procedures, but not with utilization of a less uniformly recommended cancer screening procedure. Researchers should consider the analysis of specific plan characteristics rather than aggregate plan types in conducting future research, and insurers and policymakers should consider the potential benefits of gatekeepers with respect to preventive care when designing health plans and legislation.     

Medicaid Bed‐Hold Policies and Hospitalization of Long‐Stay Nursing Home Residents

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.     

Mortality of Department of Veterans Affairs patients undergoing coronary revascularization in private sector hospitals

OBJECTIVE: A limitation of studies comparing outcomes of Veterans Affairs (VA) and private sector hospitals is uncertainty about the methods of accounting for risk factors in VA populations. This study estimates whether use of VA services is a marker for increased risk by comparing outcomes of VA users and other patients undergoing coronary revascularization in private sector hospitals. DATA SOURCES: Males 67 years and older undergoing coronary artery bypass graft (CABG; n=687,936) surgery or percutaneous coronary intervention (PCI; n=664,124) during 1996-2002 were identified from Medicare administrative data. Patients using VA services during the 2 years preceding the Medicare admission were identified using VA administrative files. STUDY DESIGN: Thirty-, 90-, and 365-day mortality were compared in patients who did and did not use VA services, adjusting for demographic and clinical risk factors using generalized estimating equations and propensity score analysis. RESULTS: Adjusted mortality after CABG was higher (p<.001) in VA users compared with nonusers at 30, 90, and 365 days: odds ratio (OR)=1.07 (95 percent confidence interval [CI], 1.03-1.11), 1.07 (95 percent CI, 1.04-1.10), and 1.09 (95 percent CI, 1.06-1.12), respectively. For PCI, mortality at 30 and 90 days was similar (p>.05) for VA users and nonusers, but was higher at 365 days (OR=1.09; 95 percent CI, 1.06-1.12). The increased risk of death in VA users was limited to patients with service-connected disabilities or low incomes. Odds of death for VA users were slightly lower using samples matched by propensity scores. CONCLUSIONS: A small difference in risk-adjusted outcomes for VA users and nonusers undergoing revascularization in private sector hospitals was found. This difference reflects unmeasured severity in VA users undergoing revascularization in private sector hospitals.