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Biomedical subjects

Dana B Mukamel

Publications and source records attributed to Dana B Mukamel.

At least 19 recordsLinked to original sources

Racial differences in the use of epidural analgesia for labor.

BACKGROUND: There is strong evidence that pain is undertreated in black and Hispanic patients. The association between race and ethnicity and the use of epidural analgesia for labor is not well described. METHODS: Using the New York State Perinatal Database, the authors examined whether race and ethnicity were associated with the likelihood of receiving epidural analgesia for labor after adjusting for clinical characteristics, demographics, insurance coverage, and provider effect. This retrospective cohort study was based on 81,883 women admitted for childbirth between 1998 and 2003. RESULTS: Overall, 38.3% of the patients received epidural analgesia for labor. After adjusting for clinical risk factors, socioeconomic status, and provider fixed effects, Hispanic and black patients were less likely than non-Hispanic white patients to receive epidural analgesia: The adjusted odds ratio was 0.85 (95% CI, 0.78-0.93) for white/Hispanic and 0.78 (0.74-0.83) for blacks compared with non-Hispanic whites. Compared with patients with private insurance, patients without insurance were least likely to receive epidural analgesia (adjusted odds ratio, 0.76; 95% CI, 0.64-0.89). Black patients with private insurance had similar rates of epidural use to white/non-Hispanic patients without insurance coverage: The adjusted odds ratio was 0.66 (95% CI, 0.53-0.82) for white/non-Hispanic patients without insurance versus 0.69 (0.57-0.85) for black patients with private insurance. CONCLUSION: Black and Hispanic women in labor are less likely than non-Hispanic white women to receive epidural analgesia. These differences remain after accounting for differences in insurance coverage, provider practice, and clinical characteristics.

Adult↗

Team performance and risk-adjusted health outcomes in the Program of All-Inclusive Care for the Elderly (PACE).

PURPOSE: The Program of All-Inclusive Care for the Elderly (PACE) is a community-based program providing primary, acute, and long-term care to frail elderly individuals. A central component of the PACE model is the interdisciplinary care team, which includes both professionals and non-professionals. The purpose of this study was to examine the association between the team's overall performance and the risk-adjusted health outcomes of program enrollees. DESIGN AND METHODS: The study included interdisciplinary teams in 26 PACE programs and 3,401 individuals enrolled in them. We combined information about individuals' health, functional, and mental status from DataPACE with an overall measure of team performance. We used multivariate regression techniques to test the hypothesis that better team performance is associated with better risk-adjusted health outcomes: survival and short-term (within 3 months of enrollment) and long-term (within 12 months of enrollment) improvements in functional status and in urinary incontinence. RESULTS: Team performance was significantly associated with better functional outcomes (both short and long term) and with better long-term urinary incontinence outcomes. There was no significant association with survival. IMPLICATIONS: This study provides empirical evidence for the relationship between team performance and patient outcomes in long-term care. It suggests that PACE programs can improve patient outcomes by improving the functioning of care teams.

Acute Disease↗

Informal caregivers and the risk of nursing home admission among individuals enrolled in the program of all-inclusive care for the elderly.

PURPOSE: We sought to determine whether participants in the Program of All-Inclusive Care for the Elderly (PACE) with an informal caregiver have a higher or lower risk of nursing home admission than those without caregivers. DESIGN AND METHODS: We performed a secondary data analysis of 3,189 participants aged 55 years or older who were enrolled in 11 PACE programs during the period from June 1, 1990 through June 30, 1998. Cox proportional hazard models determined whether having any caregiver, as well as specific caregiver characteristics, such as either living separately from the enrollee, being over the age of 75 years, providing personal care, not reducing or quitting work to provide care, or not being a spouse, predicted time to nursing home admission. RESULTS: Fewer than half of the participants (49.4%) lived with a caregiver, and 12.4% had no caregiver. Individuals who lived with their caregiver were frailer than either those who lived separately or those without a caregiver. We measured frailty in terms of functional and cognitive status, incontinence, and multiple behavioral disturbances. The presence of a caregiver did not change the risk for institutionalization. None of the caregiver characteristics were associated with a higher risk of nursing home admission. IMPLICATIONS: Unlike individuals in the general population, participants in PACE who lack an informal caregiver are not at higher risk of institutionalization. Further research is required to ascertain whether PACE's comprehensive formal services compensate for the lack of informal caregiving in limiting the risk for institutionalization.

Aged↗

Impact of patient volume on the mortality rate of adult intensive care unit patients.

OBJECTIVE: Expert task forces have proposed that adult critical care medicine services should be regionalized in order to improve outcomes. However, it is currently unknown if high intensive care unit (ICU) patient volumes are associated with reduced mortality rate. The objective was to investigate whether high-volume ICUs have better mortality outcomes than low-volume ICUs. DESIGN: Retrospective cohort study analyzing the association between ICU volume and in-hospital mortality using Project IMPACT (a clinical outcomes database created by the Society of Critical Care Medicine). PATIENTS: The analyses were based on 70,757 patients admitted to 92 ICUs between 2001 and 2003. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The main outcome measure was in-hospital mortality. Hierarchical logistic regression modeling was used to examine the volume-outcome association. The median (interquartile range) ICU volume was 827 (631-1,234) patient admissions per year. The overall mortality rate was 14.6%. After controlling for patient risk factors and ICU characteristics, and clustering, there was evidence that patients admitted to high-volume ICUs had improved outcomes (p = .025). However, this mortality benefit was seen only in high-risk patients treated at ICUs treating high volumes of high-risk patients. CONCLUSIONS: There is evidence that high ICU patient volumes are associated with lower mortality rates in high-risk critically ill adults.

Critical Illness↗

Disenrollment from an acute/long-term managed care program (PACE).

BACKGROUND: The Program of All-Inclusive Care for the Elderly (PACE) is an acute/long-term managed care plan designed to care for the most frail and vulnerable Medicare beneficiaries. To our knowledge, this is a first study to examine patterns and predictors of disenrollment from PACE. OBJECTIVE: PACE, with its comprehensive delivery system, dual capitation, and a focus on the most vulnerable population, may be expected to achieve low rates of exit and little selective dissenrollment. This study examines whether these goals have been accomplished. RESEARCH DESIGN: The study includes 30 PACE programs and 14,657 individuals enrolled in them. Individual-level records, obtained from an administrative database, contain information on sociodemographics, caregiver support, health status and disability, medical history, service utilization, and disenrollment. Program-level variables also were included. Cox proportional hazard models, with time-varying and time-invariant covariates, were employed to predict time to disenrollment. RESULTS: Our findings show a low level of disenrollment. We find no increase in disenrollment risk by age, functional or cognitive impairment, Medicaid eligibility, or diagnoses. Certain characteristics (eg, nursing treatments) appear to reduce the disenrollment hazard, whereas others (eg, hospital admissions, private pay status) significantly increase it. The risk of disenrollment also increases with longer nursing home stays, until 80-90 days, whereupon it begins to decline. CONCLUSIONS: Both enrollee and program-level attributes predict program disenrollment. Programmatic and quality of care improvements may be needed to further minimize disenrollment, particularly in programs experiencing rates that are substantially greater than the average.

Aged↗

Impact of changing the statistical methodology on hospital and surgeon ranking: the case of the New York State cardiac surgery report card.

BACKGROUND: Risk adjustment is central to the generation of health outcome report cards. It is unclear, however, whether risk adjustment should be based on standard logistic regression, fixed-effects or random-effects modeling. OBJECTIVE: The objective of this study was to determine how robust the New York State (NYS) Coronary Artery Bypass Graft (CABG) Surgery Report Card is to changes in the underlying statistical methodology. METHODS: Retrospective cohort study based on data from the NYS Cardiac Surgery Reporting System on all patient undergoing isolated CABG surgery in NYS and who were discharged between 1997 and 1999 (51,750 patients). Using the same risk factors as in the NYS models, fixed-effects and random-effects models were fitted to the NYS data. Quality outliers were identified using 1) the ratio of observed-to-expected mortality rates (O/E ratio) and confidence intervals (CIs) calculated using both parametric (Poisson distribution) and nonparametric (bootstrapping) techniques; and 2) shrinkage estimators. RESULTS: At the surgeon level, the standard logistic regression model, the fixed-effects model, and the fixed-effects component of the random-effects model demonstrated near-perfect agreement on the identity of quality outliers using a quality indicator based on the O/E ratio and the Poisson distribution. Shrinkage estimators identified the fewest outliers, whereas the O/E ratios with bootstrap CI identified the greatest number of outliers. The results were similar for hospitals, except that the fixed-effects model identified more outliers than either the NYS model or the fixed-effects component of the random-effects model. CONCLUSION: Shrinkage estimators based on random-effects models are slightly more conservative in identifying quality outliers compared with the traditional approach based on fixed-effects modeling and standard regression. Explicitly modeling surgeon provider effect (fixed-effects and random-effects models) did not significantly alter the distribution of quality outliers when compared with standard logistic regression (which does not model provider effect). Compared with the standard parametric approach, the use of a bootstrap approach to construct 95% confidence interval around the O/E ratio resulted in more providers being identified as quality outliers.

Benchmarking↗

Does date stamping ICD-9-CM codes increase the value of clinical information in administrative data?

CONTEXT: Comorbidity measures are designed to exclude complications when they map International Classification of Diseases (ICD-9-CM) codes to diagnostic categories. The use of data fields that indicates whether each secondary diagnosis was present at the time of hospital admission may lead to the more accurate identification of preexisting conditions. OBJECTIVE: To examine the rate of misclassification of ICD-9-CM codes into diagnostic categories by the Dartmouth-Manitoba adaptation of the Charlson index and by the Elixhauser comorbidity algorithm. DATA SOURCE: Analysis of 178,838 patients in the California State Inpatient Database (CA SID) admitted in 2000 for one of seven major medical and surgical conditions. The CA SID includes a condition present at admission (CPAA) modifier for each ICD-9-CM code. STUDY DESIGN: The Dartmouth/Charlson index and the Elixhauser comorbidity measure were used to map the ICD-9-CM codes into diagnostic categories for patients in each study population. We calculated the misclassification rate for each mapping algorithm, using information from the CPAA as the "gold standard." PRINCIPAL FINDINGS: The Dartmouth/Charlson index underestimated the prevalence of hemiplegia/paraplegia by 70 percent, cerebrovascular disease by 70 percent, myocardial infarction by 65 percent, congestive heart failure (CHF) by 45 percent, and peptic ulcer disease by 34 percent. The Elixhauser algorithm misclassified complications as preexisting conditions for 43 percent of the coagulopathies, 25 percent of the fluid and electrolyte disorders, 18 percent of the cardiac arrhythmias, 18 percent of the cardiac arrhythmias, and 9 percent of the cases of CHF. CONCLUSION: Adding the CPAA modifier to administrative data would significantly enhance the ability of the Dartmouth/Charlson index and of the Elixhauser algorithm to map ICD-9-CM codes to diagnostic categories accurately.

Algorithms↗

Referrals to high-quality cardiac surgeons: patients' race and characteristics of their physicians.

OBJECTIVE: To examine the referral process to cardiac surgeons in order to explain racial disparities in access to high-quality cardiac surgeons. DATA SOURCES/STUDY SETTINGS: All white and black Medicare fee-for-service patients undergoing coronary artery bypass graft (CABG) surgery in New York State during 1997-1999. STUDY DESIGN: A retrospective analysis of referral patterns for white and black patients in relation to the quality of the cardiac surgeon, measured by the surgeon's risk-adjusted mortality rate (RAMR), and in relation to characteristics of the physician providing the majority of cardiac care before the surgery. The average RAMRs of the surgeons to whom different physicians referred patients were compared using t-tests and paired t-tests. A hierarchical multivariate regression model was estimated to test hypotheses about the effect of physicians' characteristics on referrals of blacks to low-quality surgeons. DATA EXTRACTION METHOD: Variables were constructed from Medicare claims. PRINCIPAL FINDINGS: The differential in surgeons' quality for white and black patients is partially due to the physician providing the majority of cardiac care before the surgery. There is both across- and within-physician variation in referrals. Of the physician characteristics investigated, only the number of black patients referred to CABG and the percent of all cardiac referrals to the same hospital decrease the difference in surgeons' quality between whites and blacks. CONCLUSIONS: Several different pathways lead blacks to cardiac surgeons of lower quality. Further research is needed to understand the causes and inform policies designed to minimize disparities in access to high-quality providers.

Black or African American↗

Accuracy of hospital report cards based on administrative data.

CONTEXT: Many of the publicly available health quality report cards are based on administrative data. ICD-9-CM codes in administrative data are not date stamped to distinguish between medical conditions present at the time of hospital admission and complications, which occur after hospital admission. Treating complications as preexisting conditions gives poor-performing hospitals "credit" for their complications and may cause some hospitals that are delivering low-quality care to be misclassified as average- or high-performing hospitals. OBJECTIVE: To determine whether hospital quality assessment based on administrative data is impacted by the inclusion of condition present at admission (CPAA) modifiers in administrative data as a date stamp indicator. DESIGN, SETTING, AND PATIENTS: Retrospective cohort study based on 648,866 inpatient admissions between 1998 and 2000 for coronary artery bypass graft (CABG) surgery, coronary angioplasty (PTCA), carotid endarterectomy (CEA), abdominal aortic aneurysm (AAA) repair, total hip replacement (THR), acute MI (AMI), and stroke using the California State Inpatient Database which includes CPAA modifiers. Hierarchical logistic regression was used to create separate condition-specific risk adjustment models. For each study population, one model was constructed using only secondary diagnoses present at admission based on the CPAA modifier: "date stamp" model. The second model was constructed using all secondary diagnoses, ignoring the information present in the CPAA modifier: the "no date stamp model." Hospital quality was assessed separately using the "date stamp" and the "no date stamp" risk-adjustment models. RESULTS: Forty percent of the CABG hospitals, 33 percent of the PTCA hospitals, 40 percent of the THR hospitals, and 33 percent of the AMI hospitals identified as low-performance hospitals by the "date stamp" models were not classified as low-performance hospitals by the "no date stamp" models. Fifty percent of the CABG hospitals, 33 percent of the PTCA hospitals, 50 percent of the CEA hospitals, and 36 percent of the AMI hospitals identified as low-performance hospitals by the "no date stamp" models were not identified as low-performance hospitals by the "date stamp" models. The inclusion of the CPAA modifier had a minor impact on hospital quality assessment for AAA repair, stroke, and CEA. CONCLUSION: This study supports the hypothesis that the use of routine administrative data without date stamp information to construct hospital quality report cards may result in the mis-identification of hospital quality outliers. However, the CPAA modifier will need to be further validated before date stamped administrative data can be used as the basis for health quality report cards.

Aged↗

Characteristics predicting nursing home admission in the program of all-inclusive care for elderly people.

PURPOSE: This study determined overall risk and predictors of long-term nursing home admission within the Program of All-Inclusive Care for the Elderly (PACE). DESIGN AND METHODS: DataPACE records for 4,646 participants aged 55 years or older who were enrolled in 12 Medicare- and Medicaid-capitated PACE programs during the period from June 1, 1990, to June 30, 1998, were obtained. Participants were enrolled for at least 30 days and had baseline evaluations within 30 days of enrollment. Cox proportional hazard models predicting an outcome of nursing home admission of 30 days or longer were estimated. RESULTS: The cumulative risk of admission to nursing homes for 30 days or longer was 14.9% within 3 years. Individuals enrolled from a nursing home were at very high risk for future admission, with a relative risk of 5.20 when compared with those living alone. Among individuals enrolled in PACE from the community, age, instrumental activity of daily living dependence, and bowel incontinence were predictive of subsequent nursing home admission. Asians and Blacks had a lower risk of institutionalization than Whites. However, other characteristics were not independently predictive of institutionalization, namely poor cognitive status, number of chronic conditions, activity of daily living deficits, urinary incontinence, several behavioral disturbances, and duration of program operation. Before adjusting for other variables, there was substantial site variability in risk of nursing home admission; this decreased considerably after other characteristics were adjusted for. IMPLICATIONS: Despite the fact that 100% of the PACE participants were nursing home certifiable, the risk of being admitted to a nursing home long term following enrollment from the community is low. The presence of some reversible risk factors may have implications for early intervention to reduce risk further, although the effect of these interventions is likely to be modest. Individuals who received long-term care in a nursing home prior to enrollment in PACE remain at high risk of readmission, despite the availability of comprehensive services.

Aged↗

Do trends in the reporting of quality measures on the nursing home compare web site differ by nursing home characteristics?

PURPOSE: This study examines the relationship between the first set of quality measures (QMs) published by the Centers for Medicare and Medicaid Services on the Nursing Home Compare Web site and five nursing home structural characteristics: ownership, chain affiliation, size, occupancy, and hospital-based versus freestanding status. DESIGN AND METHODS: Using robust linear regressions, we examined the values of the QMs at first publication and their change over the first five reporting periods, in relation to facility characteristics. RESULTS: There were significant baseline differences associated with these facility characteristics. Pain, physical restraints, and delirium exhibit a clear downward trend, with differences between the first QM reporting period and the fifth ranging from 12.7% to 46.0%. However, there were only minimal differences in trends associated with facility characteristics. This suggests that the relative position of facilities on these measures did not change much within this time period. The variation by facility type was larger for the short-stay QMs than for the long-stay measures. IMPLICATIONS: Those QMs that show an improvement exhibit it across all types of facilities, irrespective of initial quality levels. Although a number of alternatives may explain this positive trend, the trend itself suggests that report cards, to the extent that they are effective, are so for all facility types but only some QMs.

Centers for Medicare and Medicaid Services, U.S.↗

Nursing home spending patterns in the 1990s: the role of nursing home competition and excess demand.

OBJECTIVE: To examine nursing home expenditures on clinical, hotel, and administrative activities during the 1990s and to determine the association between nursing home competition and excess demand on expenditures. DATA SOURCES/STUDY SETTING: Secondary data sources for 1991, 1996, and 1999 for 500 free-standing nursing homes in New York State. STUDY DESIGN: A retrospective statistical analysis of nursing homes' expenditures. The dependent variables were clinical, hotel, and administrative costs in each year. Independent variables included outputs (inpatient and outpatient), wages, ownership, New York City location, and measures of competition and excess demand. DATA COLLECTION/EXTRACTION METHOD: Variables were constructed from annual financial reports submitted by the nursing homes, the Patient Review Instrument and Medicare enrollment data. PRINCIPAL FINDINGS: Clinical and administrative costs have increased over the decade, while hotel expenditures have declined. Increased competition was associated with higher clinical and administrative costs while excess demand was associated with lower clinical and hotel expenditures. CONCLUSIONS: Nursing home expenditures are sensitive to competition and excess demand conditions. Policies that influence competition in nursing home markets are therefore likely to have an impact on expenditures as well.

Costs and Cost Analysis↗

Purchasing or providing nursing home care: can quality of care data provide guidance.

OBJECTIVES: To examine whether quality of care differed for veterans in Department of Veterans Affairs (VA) nursing homes and those on contract in community nursing homes, and whether the VA was contracting with nursing homes providing better quality of care than other nursing homes. DESIGN: Observational study using administrative databases from 1997 to 1999. SETTING: Ten VA and 650 community nursing homes in New York state. PARTICIPANTS: Four thousand seven hundred sixty-three veteran and 195,438 nonveteran residents of these nursing homes. MEASUREMENTS: Risk-adjusted rates of pressure ulcer development, functional decline, behavioral decline, and mortality. RESULTS: Veterans in VA nursing homes were significantly (P< .05) less likely to develop a pressure ulcer (odds ratio (OR)=0.63) but more likely to experience functional decline (OR=1.6) than veterans in community nursing homes. Residents of community nursing homes with VA contracts were significantly (P< .05) less likely to develop a pressure ulcer (OR=0.91) but more likely to die than residents in noncontract homes. Few nursing homes were consistently among the best or worst performers on all measures; only seven of 650 nursing homes were in the top or bottom decile and 34 in the top or bottom quartile for each measure. CONCLUSION: Large purchasers and providers of nursing home care such as the VA are unlikely to find information on quality of care useful in making decisions on whether they should "make" or "buy" care. Nursing homes performing well on one quality measure may perform poorly on another, and it is difficult to identify nursing homes that are consistently among the best or worst. Other consumers may encounter similar difficulties when using data on nursing home quality.

Aged↗

The relation between surgeon volume and outcome following off-pump vs on-pump coronary artery bypass graft surgery.

STUDY OBJECTIVE: Off-pump coronary artery bypass graft (CABG) surgery has been recently reintroduced into clinical practice. In light of the relatively low level of experience of most cardiac surgeons with off-pump CABG surgery, and the exceptional technical challenge of working on a "beating heart," off-pump CABG surgery presents a unique opportunity to explore the effect of surgeon case volume on surgical outcome after controlling for the effects of patient case mix and hospital volume. DESIGN: A retrospective cohort study analyzing the association between surgeon volume and in-hospital mortality rate for off-pump and on-pump CABG surgery using random-effects logistic regression modeling. SETTING AND PATIENTS: The analyses were based on the New York State clinical CABG surgery registry. The study sample consisted of 36,930 patients undergoing isolated CABG surgery between 1998 and 1999 that was performed by 181 surgeons at 33 hospitals. INTERVENTIONS: None. RESULTS: There is no association between the number of CABG procedures performed off-pump by an individual surgeon and in-hospital mortality rates (p = 0.93) after controlling for hospital CABG surgery volume and patient-level risk factors. There is also no association between the off-pump CABG surgery mortality rate and the total number of both off-pump and on-pump CABG surgery cases (p = 0.78). In the on-pump CABG surgery cohort, surgeons performing a high volume of CABG procedures had significantly lower risk-adjusted mortality rates among their patients compared to those performing a very low volume, a low-volume, and a medium volume of CABG procedures (p < 0.006). CONCLUSION: For off-pump CABG surgery, surgeons performing a high volume of procedures do not have better mortality outcomes than those performing a low volume of procedures. However, higher surgeon case volumes are associated with lower mortality rates for on-pump CABG surgery. The absence of a volume-outcome association for off-pump CABG surgery is especially surprising in light of the more technically demanding nature of off-pump CABG surgery compared to on-pump CABG surgery.

Cohort Studies↗

Trends in geographic disparities in allocation of health care resources in the US.

OBJECTIVES: This study aimed to examine current level and historical trends in health resources distribution in the US; to investigate the relationships between both levels and trends of inequality with--geographic location, inequality of income and rates per capita of hospital-beds and physicians. METHODS: The Gini Coefficient was used to measure variations in distribution of physicians and hospital-beds (at the county level) during three decades. RESULTS: Physician distribution has become less equitable, while hospital-beds' equity has increased. physicians' distribution exhibited a geographic trend, becoming more equitable in the West. No association was found between equality in hospital-beds' distribution and rates of hospital-beds per capita. CONCLUSIONS: Rates per capita might not be sufficient in determining availability of resources. Further research is needed to determine implications for health outcomes.

Beds↗

Variations in risk-adjusted outcomes in a managed acute/long-term care program for frail elderly individuals.

OBJECTIVE: To develop and investigate the properties of three performance measures based on risk-adjusted health outcomes for a frail, elderly, community-dwelling population enrolled in a managed, acute, and long-term care program. DESIGN: Retrospective analyses of an administrative dataset containing individual level records with information about socioeconomics, health, functional and cognitive status, diagnoses, and treatments. We estimated risk-adjustment models predicting mortality, decline in functional status, and decline in self-assessed health. Each model includes individual risk factors and indicator variables for the program site in which the individual enrolled. Sites were ranked based on their performance in each risk-adjusted outcome, and the properties of these performance measures were investigated. SETTING: Twenty-eight sites of the Program of All-Inclusive Care for the Elderly (PACE) that provide primary, acute, and long-term care services under capitated Medicare and Medicaid payment to a nursing home certifiable, and functionally and cognitively frail community-dwelling elderly population. STUDY PARTICIPANTS: Three thousand one hundred and thirty-eight individuals who were newly enrolled between 1 January 1998 and 31 December 1999. The average age of these enrollees was 78 years, 27% were male, 50% were diagnosed with dementia, and they had approximately 4 Activities of Daily Living limitations and 7.4 Instrumental Activities of Daily Living limitations. MAIN OUTCOME MEASURES: Risk-adjustment models, performance ranking for each site, and correlations between performance rankings. RESULTS: We present risk-adjustment models for mortality, change in functional status, and self-assessed health status. We found substantial variation across sites in performance, but no correlation between performance with respect to different outcomes. CONCLUSIONS: The variations in outcomes suggest that sites can improve their performance by learning from the practices of those with the best outcomes. Further research is required to identify processes of care that lead to best outcomes.

Activities of Daily Living↗

Social support and risk-adjusted mortality in a frail older population.

OBJECTIVE: The objective of this study was to test the hypothesis that social support is an important predictor of mortality in a frail older population receiving formal long-term care services. RESEARCH DESIGN AND METHODS: The analysis is based on 3138 individuals enrolled in 28 Programs of All-Inclusive Care for the Elderly (PACE). Information about the enrollees is obtained from dataPACE. Semiparametric Cox proportional hazards models are estimated to assess the importance of individual risk factors, program effect, and social support. RESULTS: The introduction of the social support variables into the mortality model containing the sociodemographic, health needs, and the PACE-site indicator variables results in a significant improvement of the overall model fit. Several social support variables are statistically significant predictors of mortality. Controlling for all participant and caregiver characteristics, participants whose caregiver is a spouse have a significantly lower risk of mortality (hazard ratio = 0.63) compared with those whose caregiver is not a spouse. Furthermore, caregivers' assistance with meals confers a significantly lower risk of morality (hazard ratio = 0.66) compared with no assistance with meals. CONCLUSIONS: This study shows that certain aspects of informal caregiving are important factors enhancing survival in a population of frail, nursing home-certifiable individuals enrolled in a health program that already provides extensive services, including personal care, chores, and meals. Further research to better differentiate between the affective versus the instrumental dimensions of social support is needed to guide programs on how to balance the use of resources to provide both the necessary formal services and the support for the informal caregivers.

Activities of Daily Living↗

The growing pains of integrated health care for the elderly: lessons from the expansion of PACE.

The early success of the demonstration Program of All-Inclusive Care for the Elderly (PACE) led to its designation as a permanent Medicare program in 1997. But the growth in the number of programs and enrollment has lagged and does not meet expectations. This article offers insights into the mechanisms influencing the expansion of PACE, from information obtained in interviews and surveys of administrators, medical directors, and financial officers in 27 PACE programs. Sixteen barriers to expansion were found, including competition, PACE model characteristics, poor understanding of the program among referral sources, and a lack of financing for expansion. This experience offers important lessons for providing integrated health care to the frail elderly.

Aged↗