Controlling hospital readmission of elderly persons living at home: a risk factor analysis

Senior high-cost healthcare users' resource utilization and outcomes: a protocol of a retrospective matched cohort study in Canada

INTRODUCTION

Senior high-cost users (HCUs) are estimated to represent 60% of all HCUs in Ontario, Canada's most populous province. To improve our understanding of individual and health system characteristics related to senior HCUs, we will examine incident senior HCUs to determine their incremental healthcare utilisation and costs, characteristics of index hospitalisation episodes, mortality and their regional variation across Ontario.

METHODS AND ANALYSIS

A retrospective, population-based cohort study using administrative healthcare records will be used. Incident senior HCUs will be defined as Ontarians aged ≥66 years who were in the top 5% of healthcare cost users during fiscal year 2013 but not during fiscal year 2012. Each HCU will be matched to three non-HCUs by age, sex and health planning region. Incremental healthcare use and costs will be determined using the method of recycled predictions. We will apply multivariable logistic regression to determine patient and health service factors associated with index hospitalisation and inhospital mortality during the incident year. The most common causes of admission will be identified and contrasted with the most expensive hospitalised conditions. We will also calculate the ratio of inpatient costs incurred through admissions of ambulatory care sensitive conditions to the total inpatient expenditures. The magnitude of variation in costs and health service utilisation will be established by calculating the extremal quotient, the coefficient of variation and the Gini mean difference for estimates obtained through multilevel regression analyses.

ETHICS AND DISSEMINATION

This study has been approved by Hamilton Integrated Research Ethics Board (ID#1715-C). The results of the study will be distributed through peer-reviewed journals. They also will be disseminated at research events in academic settings, national and international conferences as well as with presentations to provincial health authorities.

Screening for risk of rehospitalization from home care: use of the outcomes assessment information set and the probability of readmission instrument

The purpose of this study was to evaluate the Outcomes Assessment Information Set (OASIS) compared with the Probability of Readmission (P(ra)) instrument for use in predicting rehospitalization during home care. Using logistic regression and receiver operating characteristic (ROC) curve analysis, the P(ra) instrument was found to be significantly better at predicting rehospitalization than the OASIS case mix weight, clinical, or service scores. The area under the curve (AUC) for the P(ra) was .686 compared with .549 for the OASIS case mix weight (p =.010). Similar results were found for the OASIS clinical and service scores. The AUC for the function score of >/=2 (.599) provided the closest approximation to the P(ra) (.686), and the difference between the two was not statistically significant (p =.120). The OASIS function score could be used to identify at-risk home care patients without having to also use the P(ra) instrument.

Incidence of four adverse outcomes in the elderly population: implications for home care policy and research

The cost-effective allocation of home care resources requires knowledge of the incidence of institutionalization, hospitalization, functional impairment, and mortality. We therefore assembled a database containing 176 rates abstracted from 71 longitudinal studies published between 1985 and 1998 that examine one or more of these outcomes in the 65 and over population in the United States. Where possible we calculate median values for the estimated annual rate of each outcome for different types of studies-nationally representative, sub-national probability, and convenience sample-and specific subgroups-community residents, hospital admissions and discharges, and nursing home admissions and discharges. We find comparatively low rates of institutionalization and mortality, relatively high rates of hospitalization and functional impairment, similar rates for national and sub-national probability samples, and rates from convenience samples, which greatly exceed probability-based rates. While the rates for institutionalization, hospitalization and mortality are quite stable, the rates for functional impairment display considerably more variability. We conclude by discussing the implications of our findings for researchers and policymakers.

Predicting elderly people's risk for nursing home placement, hospitalization, functional impairment, and mortality: a synthesis

Long-term care resources would be allocated more cost-effectively if care planning and medical/functional eligibility decisions were grounded more firmly in extant evidence regarding the risk of nursing home placement, hospitalization, functional impairment, and mortality. This article synthesizes the studies that longitudinally assess the predictors of each of these outcomes for the 65 and older population in the United States. A database was assembled containing 167 multivariate analyses abstracted from 78 journal articles published between 1985 and 1998. Findings show that 22 risk factors consistently predict two or more outcomes, including three that predict all four: worse performance on physical function measures not based on activities of daily living, greater illness severity, and prior hospital use. Findings should help prioritize variable selection choices of those setting eligibility criteria, allocating care resources, and doing descriptive studies. Gaps are shown to exist in the understanding of outcome effects of facility, market, policy, and other system attributes.

Unplanned hospital readmissions: a home care perspective

BACKGROUND

The extensive literature concerning hospital readmissions is grounded in a medical or hospital perspective, and fails to address hospital readmissions during home care.

OBJECTIVES

To describe clients who have unplanned returns to an inpatient setting during the first 100 days of home care service delivery.

METHOD

Using the Hospital Readmission Inventory (HRI), an audit tool with previously established validity and reliability, 916 medical records for clients from 11 midwestern home care agencies were reviewed retrospectively.

RESULTS

Typically, clients were referred for their first home care admission after a 9-day hospital length of stay for a cardiovascular, respiratory, or neoplastic disorder. After an average 18-day length home care stay, clients were readmitted to the hospital, usually due to the development of a new problem, or due to deterioration in health status related to the primary or to a secondary medical diagnosis. Significant respiratory, cardiovascular or GI symptoms were generally present at hospital readmission. Typically, readmitted clients were 75 year old married females, who had been able to care for themselves at home. At hospital readmission, home care nurses judged these clients to be moderately ill, and likely in need of acute care.

CONCLUSIONS

Chronic illness appears to be the best indicator for hospital readmission. The crucial time period for hospital readmission during home care is the first 2-3 weeks following hospital discharge. Intensive study of home care service arrangements utilized by readmitted patients, as well as agency variations, are needed. Study findings concerning patients readmitted from home care point to similarities with rehospitalized patients generally. Findings may assist home care clinicians in targeting high risk patients who could benefit from interventions aimed at minimizing unplanned returns to the hospital.

How does managed care manage the frail elderly? The case of hospital readmissions in fee-for-service versus HMO systems

OBJECTIVES

This study examined whether hospital readmissions varied among the frail elderly in managed care versus fee-for-service (FFS) systems.

SETTING AND PARTICIPANTS

Random sample of 450 patients, aged 65 and over, from a large vertically integrated health care system in San Diego, California. Participants were receiving physician-authorized home health and survived and 18-month follow-up period.

MAIN OUTCOME MEASURES

Multiple logistic regression analyses were used to conduct comparisons of readmissions and preventable readmissions by plan type. Two methods to identify preventable readmissions were developed, one based on a computerized algorithm of service use patterns, and another based on blind clinical review.

RESULTS

The odds of having a preventable hospital readmission within 90 days of an index admission were 3.51 (P = 0.06) to 5.82 (P = 0.02) times as high for Medicare HMO enrollees compared to Medicare FFS participants, depending on the method used to assess preventability. Readmission patterns were similar for Medicare HMO enrollees and FFS study participants dually enrolled in Medicare and Medicaid.

CONCLUSION

In this group of frail elderly Medicare beneficiaries, those enrolled in an HMO were more likely to have a preventable hospital readmission than those receiving care under FFS. These results suggest that policies promoting stringent approaches to utilization control (e.g., early hospital discharge, reduced levels of post-acute care, and restricted use of home health services) may be problematic for the frail elderly.

Transitions in health care use and expenditures among frail older adults by payor/provider type

OBJECTIVES

To assess whether transitions in health care expenditures differed over time by payor/provider type: Medicare fee-for-service (FFS), Medicaid-Medicare, and Medicare HMO.

DESIGN

Longitudinal study.

SETTING

A large, nonprofit healthcare system in San Diego, California.

PARTICIPANTS

A total of 450 frail older people who responded to the baseline and follow-up surveys and who survived the 18-month study period.

MEASUREMENTS

Measures included three total expenditure categories for each 6-month period: low users (< $4000); medium users ($4000-$19,999); or high users ($20,000+). Seven conceptually meaningful expenditure trajectories over time were identified: (1) consistently low expenditures, (2) consistently medium expenditures, (3) consistently high expenditures, (4) decreasing expenditures, (5) increasing expenditures, (6) U-shaped expenditures, and (7) inverted U-shaped expenditures.

MAIN RESULTS

Logistic regression analyses showed that HMO enrollees were about twice as likely as Medicaid-Medicare beneficiaries to have consistently low expenditures, but no differences were found between the FFS and HMO groups on this trajectory. Other expenditure patterns showed no significant differences by payor/provider group. Significant interactions among payor/provider type, low/medium/ high expenditure status, and time were observed for inpatient hospital care, skilled nursing/rehabilitation care, and home health care.

CONCLUSION

This study illustrates the complexity of frail older people with respect to their health care expenditures and service use. Expanded efforts to control health care expenditures for frail older people should focus first on those who are dually-enrolled. In addition, because mean medical expenditures for high users enrolled in different payor/ provider groups were surprisingly similar, the data suggest that containing expenditures for individuals in the highest usage group ($20,000+) presents challenges for physicians practicing in an era of healthcare reform, regardless of payor/ provider setting.

Strategies used by chronically ill older women and their caregiving daughters in managing posthospital care

The purpose of this grounded theory study was to learn how older women and their caregiving daughters managed care following the mother's hospitalization because of a chronic illness. Data were collected in semi-structured interviews with 33 mother-daughter pairs at two weeks post-discharge, and 32 pairs two months post-discharge. Content analysis and constant comparison were used in analysing the data. The findings indicate that the posthospital period for both mothers and daughters was characterized by difficulties in managing care that were often related to lack of information about diet, medications and community services. In dealing with the difficulties, most mothers and daughters employed information-seeking and problem-solving strategies to move from the phase, finding out what works, to establishing new routines. Not all mothers and daughters established routines by two months post-discharge. Nurses need to recognize factors that impede mothers and daughters in establishing routines in order to design effective interventions to ease the posthospital transition.

Hospital readmissions for rural elderly. 1992-1993

The ill elderly are more at risk for recurrent hospitalizations than any other segment of the population. What is known about hospital admission readmission of chronically ill older adults and how can this information be used to develop cost-effective strategies? The authors found variation in percent reimbursement (43% to 93%) of overall average charges, which indicates that further examination of low reimbursement major diagnostic categories can be useful. Hospital readmission data should be used to improve quality of care while containing hospital costs.

Hospital readmissions during home care: a pilot study

The health care delivery system has undergone dramatic shifts in care settings during the past decade. More patients are receiving professional home care following discharge from hospitals, skilled-care facilities and rehabilitation centers. Home care is considered to be an integral part of patient recovery. Skilled nursing care delivered in the patient's home may prevent, forestall, or limit costly readmissions to an inpatient setting. Home care professionals have long questioned whether the unplanned returns of their clients to hospitals are preventable. The literature is replete with information from the acute-care and medical or physician's perspective concerning readmission. However, clients' unplanned returns to an inpatient setting while receiving home care services has not received much attention. The purpose of this pilot study is to describe clients who have unplanned returns to an inpatient setting during the first 31 days of home care service delivery. Using the Hospital Readmission Inventory (HRI), an audit tool with established validity and reliability, medical records for 68 clients from 8 midwestern home care agencies were reviewed. Readmitted patients were elderly, married females with cardiovascular or respiratory problems who were not independent in health care decision making or in self-care. Clients were readmitted to the hospital after approximately 2 weeks of home care service. The characterization of home care clients who are readmitted to the hospital may assist in targeting high-risk patients who could benefit from interventions aimed at minimizing unplanned returns to the acute-care setting.