Abstract
Objective
To compare the prevalence of discharge home to self-care after hip fracture hospitalization among the elderly in 3 racial groups: whites, Hispanics, and blacks.
Design
Secondary data analysis.
Setting
US hospitals.
Participants
Patients (N=34,203) aged 65 and older with Medicare insurance discharged after hip fracture hospitalization between 2001 and 2005.
Interventions
Not applicable.
Main Outcome Measure
Discharge home to self-care.
Results
Bivariate analyses showed higher rates of discharge home to self-care among minorities, 16.4% for Hispanics, 8.7% for blacks, and 5.9% for whites. Hispanics had 3-fold higher odds of being discharged home to self-care, and blacks had about 50% higher odds of being discharged home to self-care after adjusting for age, sex, Klabunde’s comorbidity index, income, year of admission, type of hip fracture, surgical stabilization procedure, and length of hospital stay.
Conclusions
The higher rate of discharge home to self-care among minorities underscores the risk of suboptimal outpatient rehabilitative care among minorities with hip fracture.
Keywords: Aged, Hip Fractures, Medicare, Rehabilitation
More than 300,000 Patients fracture a hip every year,1 and over 90% of hip fractures occur in patients aged 65 and older.2 Hip fracture is associated with high morbidity, particularly the inability to walk. The Centers for Disease Control reports that about 50% of patients with hip fracture never regain their former functionality.2 Complications or poor recovery can lead to long- term loss of mobility and independence resulting in nursing home placement.
Rehabilitation is critical in restoring mobility, especially posthospital rehabilitation,3–7 which can take place in institutionalized care settings such as inpatient rehabilitation facilities and SNFs or in outpatient settings, which can include outpatient therapy and home health care.8–10 Among patients discharged home after hip fracture hospitalization, more than 90% need help with 1 or more ADLs including feeding, dressing, ambulation, toileting, bathing, transfer, continence, grooming and communication.11 Kane et al12 have shown that rehabilitation by home health care is associated with remarkable recovery in ADLs.
Minorities (Hispanics and non-Hispanic blacks) have a higher rate of discharge home after hip fracture hospitalization8,9 than non-Hispanic whites and may be more at risk of suboptimal recovery without optimal outpatient rehabilitative care because these same minorities are also reported to have lower access to outpatient care in general.13,14 The combination of discharge home and the lack of rehabilitation (which we term discharge home to self-care) may in fact constitute the mechanism of racial disparity in hip fracture. We hypothesized that minorities (Hispanics and non-Hispanic blacks) have higher rates of discharge home to self-care without outpatient rehabilitative care than non-Hispanic whites.
METHODS
To test this hypothesis, we compared the rates of discharge home to self-care (without outpatient rehabilitative care) among minorities (Hispanics and blacks) and non-Hispanic whites after hip fracture hospitalization by conducting a secondary data analysis of the 5% random sample of Medicare claims data from 2001 to 2005.
Data Sources
Data used in this study were derived from the Medicare claims data,15 a 5% random sample of patients with Medicare. This 5% random sample was derived from longitudinal claims of patients insured by Medicare insurance, which provides medical insurance coverage for about 97% of adults aged 65 and older in the United States.15,16 Claims from 2001 to 2005 represent the most current data available at the time of the study.
The data sample includes (1) Medicare Enrollment Database, a database of Medicare beneficiaries’ demographic data including race/ethnicity, age, sex, receiving states assistance, and mailing zip code; (2) Medicare Provider Analysis and Review, Medicare hospital claims information regarding admission type (acute, postacute, and long term), up to 10 diagnoses (ICD-9 codes), procedure, date of procedure, length of hospital stay, and discharge disposition; and (3) Medicare Carrier files, outpatient Medicare claims from service providers that include information on outpatient visits with up to 5 diagnosis codes (ICD-9-Clincal Modification) per claim. The Medicare data are linked to Census 2000 to obtain socioeconomic data such as median income per zip code. Table 1 defines the variables selected for our analyses and provides the data source.
Table 1.
Variable | Data Source | Definition |
---|---|---|
Independent variable | ||
Race/ethnicity | Medicare EDB | Non-Hispanic white, black, and Hispanic |
Covariates | ||
Age | Medicare EDB | Age at diagnosis (in 4 age groups) |
Sex | Medicare EDB | Men/women |
Receipt of state assistance | Medicare EDB | Medicare part B paid for by state |
Income | Census 2000 | Quartiles |
Comorbidity (during the prior year for persons admitted 2002–2005) |
All Medicare files | Modified Charlson’s score |
Type of fractures | MEDPAR | Admitting diagnoses (ICD-9 codes) |
Year of admission | MEDPAR | Derived from date of admission |
Surgical procedure | MEDPAR | Internal fixation, arthroplasty, or none |
Length of stay | MEDPAR | From admission to discharge from the hospitals |
Dependent variable | ||
Discharge home to self-care versus others | MEDPAR | Discharge home to self-care versus discharged home health care organization or outpatient therapy or continued institutional care (inpatient rehabilitation, SNF, NH, long-term care, and hospice |
Abbreviations: EDB, Medicare enrollment database; MEDPAR, Medicare provider analysis and review; NH, nursing home.
We included the first acute admission for closed hip fracture, closed transcervical fracture (ICD-9: 820.00, 820.02, 820.03, 820.09), closed pertrochanteric fracture (ICD-9: 820.20, 820.21, 820.22), or closed fracture of unspecified part of the neck (ICD-9: 820.8)17 from 2001 to 2005. After excluding patients without a valid discharge disposition and repeat admissions, 44,684 were identified. Of these, 10,481 were excluded; 954 were not Hispanic, non-Hispanic black or non-Hispanics white, and 9454 were not admitted from the community or did not survive to discharge. Our final sample consisted of 34,203 patients.
Variables
The independent variable was race/ethnicity (see table 1 for variables). The primary dependent variable was discharge home to self-care with no outpatient rehabilitative care (ie, patient had no arrangement for further rehabilitative care at the time of discharge home). Besides discharge home to self-care, Medicare hospital discharge settings include discharge home to home health care organization/outpatient therapy, discharge to inpatient rehabilitation, discharge to SNFs, discharge to nursing home, discharge to long-term care, or discharge to hospice.
Covariates included age, sex, Klabunde’s comorbidity index, 18 admitting diagnoses (type of fracture), stabilization procedure, length of hospital stay, zip code median income, and “receipt of state assistance” (see table 1). The Klabunde’s comorbidity index is an adaptation of the Charlson’s comorbidity index for use with administrative databases.18 The following comorbidities were used in the Klabude’s index: diabetes, chronic pulmonary disease, congestive heart failure, cerebrovascular disease, peripheral vascular disease, paralysis, acute myocardial infarction, old myocardial infarction, moderate or severe renal disease, ulcer disease, dementia, rheumatologic disease, liver diseases, and AIDS.18 The index was classified into none, 1, 2, or more than 2 in logistic regression analyses. “Receipt of state assistance” indicates persons with very low income who receive financial assistance from their state government to pay for Part B Medicare premium19 and includes persons with Medicaid.
Data Analyses
Descriptive and bivariate analyses were initially performed by using analysis of variance and chi-squared tests. Multiple logistic regression was used to examine the association between race/ethnicity and discharge home to self-care. Hosmer and Lemeshow goodness-of-fit tests were conducted to assess the fit of the logistic regression models. A P value less than .05 was considered significant. All analyses were conducted by using SAS version 9.0.a The study was approved by the institutional review board.
RESULTS
We studied 34,203 patients discharged after hip fracture hospitalization between 2001 and 2005. Most (75.8%) were women, and the average age was 83 years (range, 66–108). The cohort included approximately 95.3% non-Hispanic whites, 3.5% non-Hispanic blacks, and 1.3% Hispanics (table 2). Hispanics and non-Hispanic blacks were more likely than non-Hispanic whites to be male (P=.02). Among all patients, 12% were discharged home; however, more Hispanics (28.8%) and non-Hispanic blacks (17.2%) were discharged home than non-Hispanic whites (11.6%). Among all patients discharged home, 52% were discharged home to self-care (see table 2). In addition, more Hispanics (16.4%) and non-Hispanic blacks (8.7%) were discharged home to self-care than non-Hispanic whites (5.9%).
Table 2.
Characteristics | Hispanics (n=438) | Blacks (n=1190) | White (n=32,575) | Total (n=34,203) |
---|---|---|---|---|
Age (mean ± SD in years)* | 82.3±6.4 | 83.1±8.5 | 83.0±7.2 | 82.9±7.3 |
Women† | 73.1 | 73.3 | 76.0 | 75.8 |
Receiving state assistance† | 45.2 | 59.4 | 13.8 | 15.5 |
Median income (mean ± SD in dollars)* | 32,159±14,085 | 33,286±12,416 | 43,7276±16,408 | 43,224±16,417 |
Klabunde’s index† | ||||
None | 46.4 | 45.7 | 51.0 | 50.8 |
1 | 25.9 | 23.2 | 26.2 | 26.2 |
2 | 14.7 | 15.9 | 12.8 | 12.9 |
>3 | 13.0 | 15.2 | 10.1 | 10.2 |
Diagnoses† | ||||
Transcervical fracture (820.0×) | 21.6 | 17.4 | 20.3 | 20.3 |
Pertrochanteric fracture (820.2×) | 30.9 | 45.7 | 34.9 | 34.9 |
Unspecified fracture (820.8) | 47.5 | 37.0 | 44.9 | 44.9 |
Procedure performed† | ||||
Arthroplasty | 32.2 | 38.0 | 36.3 | 36.3 |
Internal fixation | 61.0 | 51.4 | 57.5 | 57.3 |
No procedure | 6.9 | 10.6 | 6.2 | 6.4 |
Length of stay (mean ± SD in days)* | 7.3±5.5 | 7.5±7.1 | 6.4±4.4 | 6.4±4.5 |
Discharge† | ||||
Home to self care | 16.4 | 8.7 | 5.9 | 6.2 |
Home to home health or outpatient therapy | 12.3 | 8.5 | 5.7 | 5.8 |
Inpatient rehabilitation facilities | 24.4 | 25.1 | 23.4 | 23.5 |
SNFs | 42.2 | 52.4 | 60.7 | 60.1 |
Others | 4.3 | 5.3 | 4.3 | 4.4 |
NOTE. Cells are in percent unless otherwise specified.
Indicates P<.05 by nonparametric comparisons (Kruskal-Wallis test).
Indicates P<.05 by chi-square.
Next, we examined the association between race/ethnicity and discharge home to self-care and found a significant association between race/ethnicity and discharge home to self-care. Hispanics had about 3-fold higher odds of being discharged home to self-care than the odds in non-Hispanic whites (OR=3.1; 95% CI, 2.4–4.1) in bivariate analysis. This higher odds of being discharged home to self-care among Hispanics persisted in logistic regression adjusting for age, sex, year of admission, type of fracture, procedure, income, state assistance, hospital length of stay, and Klabunde’s index (OR=3.2; 95% CI, 2.1–4.8).
Non-Hispanic blacks had 50% higher odds of discharge home to self-care than did non-Hispanic whites. In logistic regression, the OR was 1.5 and 95% CI, 1.2 to 2.9 in univariate analysis, and the OR was equal to 1.4 and the 95% CI was 1.0 to 2.0 in multivariate analysis adjusting for age, sex, year of admission, type of fracture, procedure, income, state assistance, hospital length of stay, and Klabunde’s index.
DISCUSSION
We observed higher rates of discharge home to self-care among Hispanics and blacks than the rate among whites. The higher rate of discharge home to self-care persisted after adjusting for covariates. This difference was not caused by a lower rate of receiving outpatient rehabilitative care (either home health care or outpatient therapy) among patients discharged home but rather higher rates of discharge home among minorities. The higher rate of discharge home without outpatient rehabilitation is troubling, given the critical role of posthospital rehabilitation in functional recovery among patients discharged home. Kane et al12 showed much higher ADLs recovery among patients discharged home with rehabilitation than patients discharged home without rehabilitation.
One explanation for the higher rate of discharge home among minorities may be the different family structures and cultural perceptions of minorities from whites. Minorities (Hispanics and blacks) tend to have larger families with more children to serve as caregivers for older patients recovering from illnesses.13 Also, minorities report less favorable perceptions of alternative discharge settings such as nursing facilities than do family members of white patients.13 Although we had no information on functional status among minorities at discharge, given the high level of ADLs dependency at the time of discharge in patients with hip fracture11,12 and the suboptimal functional recovery among patients discharged home without rehabilitative care,12 the high rate of discharge home to self-care among Hispanics and non-Hispanic blacks suggests suboptimal conditions for functional recovery. Further studies are needed to address this concern. In particular, studies examining outcomes in minorities discharged home with and without rehabilitative care will provide data useful in designing policies to ensure their optimal functional recovery.
Known barriers to improving outpatient care among minorities include language or cultural barriers in seeking care (among Hispanics) and a lack of transportation.14 Other contributors may include low income and a lack of adequate understanding of the critical role of rehabilitation. These barriers are likely to limit efforts to increase outpatient care for minorities, whereas enhanced rehabilitative care is necessary to optimize functional recovery among these minorities after discharge home from hip fracture hospitalization.
Providing optimal outpatient rehabilitative care among minorities not only will facilitate their recovery but will also provide a model for future rehabilitative programs for patients with other chronic conditions.
Advantages and Limitations of the Analysis
Using Medicare claims data for analyses allows access to a large dataset that permits for adjustment for multiple covariates and reflects both current trends in health care utilization among older Americans and the present ethnic diversity of the US population. Limitations of the dataset include possible coding errors associated with use of ICD-9 coding, although ICD-9 coding for hip fracture has been shown to be reliable.20,21 The low number of Hispanics and non-Hispanic blacks in our sample may have underpowered some analyses in this study. Fewer Hispanics may be qualified for Medicare because of a lack of adequate documentation of work history and the lower average age among Hispanics in the US. In addition, a relatively low sensitivity in the identification of Hispanics and non-Hispanic blacks using the race/ethnicity variable in the Medicare dataset may be a factor. However, Arday, et al22 reported improved sensitivity in race/ethnicity coding in recent years. Additional limitations for this study include those associated with cross-sectional and retrospective studies and the inability to compare other factors impacting discharge. Overall, the percent of minorities identified in our study is consistent with that identified by previous studies.21,22
CONCLUSIONS
Our findings suggest higher rates of discharge home without rehabilitative care among Hispanics and blacks (than whites) after hip fracture hospitalization and represent an opportunity to improve health care for minorities with hip fracture.
Acknowledgments
Supported by the Building Interdisciplinary Research in Women’s Health Program (grant no. K12HD052023); the National Institute of Allergy and Infectious Diseases; the National Institute of Child Health and Human Development; the Office of the Director, National Institute of Health; the Agency for Healthcare Research and Quality, Health Services Research in Under-Served Populations (grant no. R24 HS011618); National Institute on Aging, National Institutes of Health (grant no. K02 AG019736); and the National Institute of Drug Abuse (grant no. K01DA021814).
List of Abbreviations
- ADLs
activities of daily living
- CI
confidence interval
- ICD-9
International Classification of Diseases, 9th Revision
- OR
odds ratio
- SNFs
skilled nursing facilities
Footnotes
Supplier
SAS Inc, 100 SAS Campus Dr, Cary, NC 27513.
References
- 1. [Accessed November 5, 2007];Centers for Disease Control and Prevention, National Center for Injury prevention and Control (NCIPC); Hip Fracture Among Older Adults. 2006 Available at: www.cdc.gov/ncipc/factsheets/adulthipfx.htm.
- 2.CDC-MMWR. Reducing Falls and Resulting Hip Fracture among Older Women. 2000 March; [PubMed] [Google Scholar]
- 3.Braddom RL. Medicare funding for inpatient rehabilitation: how did we get to this point and what do we do now? Arch Phys Med Rehabil. 2005;86:1287–1292. doi: 10.1016/j.apmr.2005.01.004. [DOI] [PubMed] [Google Scholar]
- 4.Fitzgerald JF, Fagan LF, Tierney WM, Dittus RS. Changing patterns of hip fracture care before and after implementation of the prospective payment system. JAMA. 1987;258:218–221. [PubMed] [Google Scholar]
- 5.Fitzgerald JF, Moore PS, Dittus RS. The care of elderly patients with hip fracture. Changes since implementation of the prospective payment system. N Engl J Med. 1988;319:1392–1397. doi: 10.1056/NEJM198811243192106. [DOI] [PubMed] [Google Scholar]
- 6.Gehlbach SH, Avrunin JS, Puleo E. Trends in hospital care for hip fractures. Osteoporos Int. 2007;18:585–591. doi: 10.1007/s00198-006-0281-0. [DOI] [PubMed] [Google Scholar]
- 7.Parker M, Johansen A. Hip fracture. BMJ. 2006;333:27–30. doi: 10.1136/bmj.333.7557.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Aharonoff GB, Barsky A, Hiebert R, Zuckerman JD, Koval KJ. Predictors of discharge to a skilled nursing facility following hip fracture surgery in New York State. Gerontology. 2004;50:298–302. doi: 10.1159/000079127. [DOI] [PubMed] [Google Scholar]
- 9.Ganesan K, Pan D, Teklehaimenot S, Norris K. Racial differences in institutionalization after hip fractures: California hospital discharge data. Ethn Dis. 2005;15 4 Suppl 5 S5-30-3. [PubMed] [Google Scholar]
- 10.Nguyen-Oghalai TU, Kuo YF, Zhang DD, Graham J, Goodwin JS, Ottenbacher KJ. Discharge setting for persons with hip fracture: trend from 2001 to 2005. J Am Geriatr Soc. 2008;56:1063–1068. doi: 10.1111/j.1532-5415.2008.01688.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lin PC, Hung SH, Liao MH, Sheen SY, Jong SY. Care needs and level of care difficulty related to hip fractures in geriatric populations during the post-discharge transition period. J Nurs Res. 2006;14:251–260. doi: 10.1097/01.jnr.0000387584.89468.30. [DOI] [PubMed] [Google Scholar]
- 12.Kane RL, Chen Q, Finch M, Blewett L, Burns R, Moskowitz M. The optimal outcomes of post-hospital care under medicare. Health Serv Res. 2000;35:615–661. [PMC free article] [PubMed] [Google Scholar]
- 13.Markides KS, Wallace SP. Minorites Elders in the United States: implications for public policy. In: Pruchno R, Smyer M, editors. Challenges of an aging society: ethical dilemmas, political issues. Baltimore: Johns Hopkins University Pr; 2007. pp. 193–216. [Google Scholar]
- 14.Smedley BD. In: Unequal treatment: confronting racial and ethnic disparities in health care. Nelson S, Nelson AR, editors. Washington, DC: National Academy Pr; 2002. [PubMed] [Google Scholar]
- 15.CDC-MMWR. Incidence and Costs to Medicare of Fractures Among Medicare Bnenficiaries Aged greater than or equal to 65 Years—United States, July 1991–June 1992. 1996 Oct; [PubMed] [Google Scholar]
- 16.Eggers PW, Greenberg LG. Racial and ethnic differences in hospitalization rates among aged Medicare beneficiaries, 1998. Health Care Financ Rev. 2000;21:91–105. [PubMed] [Google Scholar]
- 17.ICD-9-CM. International Classification of Diseases, 9th revision. Los Angeles: PMIC; 2003. [Google Scholar]
- 18.Klabunde CN, Potosky AL, Legler JM, Warren JL. Development of a comorbidity index using physician claims data. J Clin Epidemiol. 2000;53:1258–1267. doi: 10.1016/s0895-4356(00)00256-0. [DOI] [PubMed] [Google Scholar]
- 19.Merrell K, Colby DC, Hogan C. Medicare beneficiaries covered by Medicaid buy-in agreements. Health Aff (Millwood) 1997;6:175–184. doi: 10.1377/hlthaff.16.1.175. [DOI] [PubMed] [Google Scholar]
- 20.Harada ND, Chun A, Chiu V, Pakalniskis A. Patterns of rehabilitation utilization after hip fracture in acute hospitals and skilled nursing facilities. Med Care. 2000;38:1119–1130. doi: 10.1097/00005650-200011000-00006. [DOI] [PubMed] [Google Scholar]
- 21.Lu-Yao GL, Baron JA, Barrett JA, Fisher ES. Treatment and survival among elderly Americans with hip fractures: a population-based study. Am J Public Health. 1994;84:1287–1291. doi: 10.2105/ajph.84.8.1287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Arday SL, Arday DR, Monroe S, Zhang J. HCFA’s racial and ethnic data: current accuracy and recent improvements. Health Care Financ Rev. 2000;21:107–116. [PMC free article] [PubMed] [Google Scholar]