Classification of long-term care wards and their functional characteristics: analysis of national hospital data in Japan.

BACKGROUND: In a rapidly aging society that has promoted extensive reforms of the healthcare system, clarifying functional patterns in long-term care wards is important for developing regional healthcare policies. This study aimed to classify patterns of inpatient characteristics among Japanese long-term care wards and to examine hospital/ward characteristics. METHODS: We analyzed data from 1856 long-term care wards extracted from the 2014 Annual Report for Functions of Medical Institutions in Japan. We classified five clusters of long-term care wards based on inpatients' medical acuity/activities of daily living using cluster analysis, and compared hospital/ward characteristics across the clusters with a chi-square test or analyses of variance. RESULTS: Cluster 1 was low medical acuity/high activities of daily living (n = 175); cluster 2, medium medical acuity/high activities of daily living (n = 340); cluster 3, medium medical acuity/low activities of daily living (n = 461); cluster 4, high medical acuity/low activities of daily living (n = 409); and cluster 5, mixed (n = 471). Although clusters 1 and 2 had similar higher proportions of home discharge (48.1% and 34.6%, respectively), there was a difference in length of hospital stay between the clusters (154.6 and 216.6 days, respectively). On the other hand, clusters 3 and 4 experienced a longer length of hospital stay (295.7 and 239.8 days, respectively) and a higher proportion of in-hospital deaths (42.7% and 50.2%, respectively). Characteristics of cluster 5 were not significantly different from the average of overall wards. CONCLUSIONS: There were distinctive differences across hospitals in their use of long-term care wards. Wards with different functions have different support needs; the clusters with high activities of daily living needed support in promoting home discharge, while those with low activities of daily living needed support in providing quality end-of-life care. Our results can be useful for constructing the future regional healthcare system. This study also suggests introducing a standardized patient classification system in long-term care settings.

Combinations of long-term care insurance services and associated factors in Japan: a classification tree model.

BACKGROUND: To develop a quality community-based care management system, it is important to identify the actual use of long-term care insurance (LTCI) services and the most frequent combinations of services. It is also important to determine the factors associated with the use of such combinations. METHODS: This study was conducted in 10 care management agencies in the urban area around Tokyo, Japan. The assessment and services data of 983 clients using the Minimum Data Set for Home Care were collected from the agencies. We categorized combination patterns of services from descriptive data analysis of service use and conducted chi-squared automatic interaction detection (CHAID) analysis to identify the primary variables determining the combinations of the services used. RESULTS: We identified nine patterns of service use: day care only (16.5%); day care and assistive devices (14.4%); day care, home helper, and assistive devices (13.2%); home helper and assistive devices (11.8%); assistive devices only (10.9%); home helper only (8.7%); day care and home helper (7.7%); home helper, visiting nurse, and assistive devices (5.4%); and others (11.3%). The CHAID dendrogram illustrated the relative importance of significant independent variables in determining combination use; the most important variables in predicting combination use were certified care need level, living arrangements, cognitive function, and need for medical procedures. The characteristics of care managers and agencies were not associated with the combinations. CONCLUSION: This study clarified patterns of community-based service use in the LTCI system in Japan. The combinations of services were more related to the physical and psychosocial status of older adults than to the characteristics of agencies and care managers. Although we found no association between service use and the characteristics of agencies and care managers, further examination of possible bias in the use of services should be included in future studies. Researchers and policymakers can use these combinations identified in this study to categorize the use of community-based care service and measure the outcomes of care interventions.

Evaluation of an integrated system for classification, assessment and comparison of services for long-term care in Europe: the eDESDE-LTC study.

BACKGROUND: The harmonization of European health systems brings with it a need for tools to allow the standardized collection of information about medical care. A common coding system and standards for the description of services are needed to allow local data to be incorporated into evidence-informed policy, and to permit equity and mobility to be assessed. The aim of this project has been to design such a classification and a related tool for the coding of services for Long Term Care (DESDE-LTC), based on the European Service Mapping Schedule (ESMS). METHODS: The development of DESDE-LTC followed an iterative process using nominal groups in 6 European countries. 54 researchers and stakeholders in health and social services contributed to this process. In order to classify services, we use the minimal organization unit or "Basic Stable Input of Care" (BSIC), coded by its principal function or "Main Type of Care" (MTC). The evaluation of the tool included an analysis of feasibility, consistency, ontology, inter-rater reliability, Boolean Factor Analysis, and a preliminary impact analysis (screening, scoping and appraisal). RESULTS: DESDE-LTC includes an alpha-numerical coding system, a glossary and an assessment instrument for mapping and counting LTC. It shows high feasibility, consistency, inter-rater reliability and face, content and construct validity. DESDE-LTC is ontologically consistent. It is regarded by experts as useful and relevant for evidence-informed decision making. CONCLUSION: DESDE-LTC contributes to establishing a common terminology, taxonomy and coding of LTC services in a European context, and a standard procedure for data collection and international comparison.

[Prices and quality in nursing homes - first empirical results for Germany]. / Preise und Qualität in Pflegeheimen - Erste empirische Ergebnisse für Deutschland.

OBJECTIVES: This paper analyses on the basis of data from over 2 400 nursing homes the relationship between remuneration rates and quality for Germany. Other factors influencing this relationship are taken into account.Data about nursing homes are taken from the nursing home data base PAULA, which includes about 11 500 nursing homes. DATA AND METHODS: Data about quality of care in nursing homes are derived from the so-called transparency reports for residential long-term care (PVTS). In a linear regression framework the different quality measures are regressed on the average nursing home price. Control variables are inter alia ownership, size and location of the nursing homes. RESULTS: The analyses show a statistically significant positive correlation between remuneration rates and quality. Better quality is reflected in higher remuneration rates. CONCLUSIONS: The results show a significant, but in actual size low relationship between quality and remunerations rates. The results cannot be interpreted as a causal relationship. Additionally, it is not possible to explain differences in nursing home prices over federal states with differences in quality.

August 2020 Interim EuGMS guidance to prepare European Long-Term Care Facilities for COVID-19.

PURPOSE: The European Geriatric Medicine Society (EuGMS) is launching a second interim guidance whose aim is to prevent the entrance and spread of COVID-19 into long-term care facilities (LTCFs). METHODS: The EuGMS gathered experts to propose a guide of measures to prevent COVID-19 outbreaks in LTCFs. It is based on the specific features of SARS-CoV-2 transmission in LTCFs, residents' needs, and on experiences conducted in the field. RESULTS: Asymptomatic COVID-19 residents and staff members contribute substantially to the dissemination of COVID-19 infection in LTCFs. An infection prevention and control focal point should be set up in every LTCF for (1) supervising infection prevention and control measures aimed at keeping COVID-19 out of LTCFs, (2) RT-PCR testing of residents, staff members, and visitors with COVID-19 symptoms, even atypical, and (3) isolating subjects either infected or in contact with infected subjects. When a first LCTF resident or staff member is infected, a facility-wide RT-PCR test-retest strategy should be implemented for detecting all SARS-CoV-2 carriers. Testing should continue until no new COVID-19 cases are identified. The isolation of residents should be limited as much as possible and associated with measures aiming at limiting its negative effects on their mental and somatic health status. CONCLUSIONS: An early recognition of symptoms compatible with COVID-19 may help to diagnose COVID-19 residents and staff more promptly. Subsequently, an earlier testing for SARS-CoV-2 symptomatic and asymptomatic LTCF staff and residents will enable the implementation of appropriate infection prevention and control. The negative effects of social isolation in residents should be limited as much as possible.

Validating diagnostic information on the Minimum Data Set in Ontario Hospital-based long-term care.

BACKGROUND: Over 20 countries currently use the Minimum Data Set Resident Assessment Instrument (MDS) in long-term care settings for care planning, policy, and research purposes. A full assessment of the quality of the diagnostic information recorded on the MDS is lacking. OBJECTIVE: The primary goal of this study was to examine the quality of diagnostic coding on the MDS. STUDY SAMPLE: Subjects for this study were admitted to Ontario Complex Continuing Care Hospitals (CCC) directly from acute hospitals between April 1, 1997 and March 31, 2005 (n = 80,664). METHODS: Encrypted unique identifiers, common across acute and CCC administrative databases, were used to link administrative records for patients in the sample. After linkage, each resident had 2 sources of diagnostic information: the acute discharge abstract database and the MDS. Using the discharge abstract database as the reference standard, we calculated the sensitivity for each of 43 MDS diagnoses. RESULTS: Compared with primary diagnoses coded in acute care abstracts, 12 of 43 MDS diagnoses attained a sensitivity of at least 0.80, including 7 of the 10 diagnoses with the highest prevalence as an acute care primary diagnosis before CCC admission. CONCLUSIONS: Although the sensitivity was high for many of the most prevalent conditions, important diagnostic information is missed increasing the potential for suboptimal clinical care. Emphasis needs to be put on improving information flow across care settings during patient transitions. Researchers should exercise caution when using MDS diagnoses to identify patient populations, particularly those shown to have low sensitivity in this study.

Challenges of rehabilitation case mix measurement in Ontario hospitals.

Case mix classification systems have been adopted in many countries as a method to manage and finance healthcare in acute care settings; the most popular systems are based on diagnosis related groups. The most successful of those case mix systems differentiate patient types by reflecting both the intensity of resources consumed and patient acuity. Case mix systems for use with non-acute hospital activity have not been as wide-spread; other than in the United States, little attention has been directed towards case mix classification for rehabilitation activity. In a province with over 13 million inhabitants with 2496 rehabilitation beds, inpatient rehabilitation is an important component of hospital care in Ontario, Canada, and consists of the spectrum of intensive rehabilitation activities intended to restore function. Although case mix adjusted activity has been the currency in Ontario's Integrated Population Based Allocation hospital funding formula, rehabilitation activity has not been subjected to case mix measurement. A project to examine case mix classification for adult inpatient rehabilitation activity was initiated by the Ontario Ministry of Health and Long-Term Care whose outcome was a case mix system and associated cost weights that would result in rehabilitation activity being incorporated into the hospital funding formula. The process described in this study provides Ontario's provincial government with a case mix classification system for adult inpatient rehabilitation activity although there remain areas for improvement.

Transition guidelines: An important step in the future care for childhood cancer survivors. A comprehensive definition as groundwork.

Evidence-based clinical practice guidelines are essential to ensure that childhood cancer survivors at risk of chronic health conditions receive effective long-term follow-up care. However, adult survivors of childhood cancer are not always engaged in recommended health promotion and follow-up practices, as many centres do not have a formal transition programme that prepares survivors and their families for successful transfer from child-centred to adult-oriented healthcare. The need for a specific pan-European guideline for the transition of care for childhood cancer survivors has been recognised. The first step is to define the concept of transition of care for survivors of childhood cancer based on existing evidence.

International comparison of long-term care: the need for resident-level classification.

Differences between long-term care facilities in Stockholm (1134 residents) and New York (95,000 residents statewide) were examined. The comparison employed a resident classification system, Resource Utilization Groups (RUG-II), which links individuals' characteristics to resource use. Distributions of Activity of Daily Living functionality and RUG-II categories demonstrated significant differences between these two populations, with the Stockholm facilities more akin to the heavier care skilled nursing facilities in New York. These differences may indicate different uses of long-term care beds in the United States and Sweden and demonstrate the need for resident-level classification systems in cross-national studies.

The implementation of the EverCare demonstration project.

EverCare represents a creative approach to providing medical services to long-stay nursing home patients. It offers a capitated package of Medicare-covered services with more intensive primary care provided by nurse practitioners. The program's underlying premise is that better primary care will result in reduced hospital use. This work examines the implementation of the program in six locations. It identifies some of the issues that must be addressed if the program is to succeed both operationally and financially.

The marginal cost of nursing home care, New York, 1983.

Many believe that nursing homes exclude heavy-care Medicaid patients because their costs exceed the Medicaid reimbursement rate. This paper tests whether this was true in New York in 1983 by calculating the marginal costs of a day of nursing home care and comparing them with the per diem Medicaid reimbursement rate. Contrary to popular beliefs, the marginal cost of the most dependent SNF patient was found to be between $9 and $12 less per patient day than the average Medicaid reimbursement rate for SNF patients. This suggests that excess demand, rather than lower-than-cost reimbursement rates, was creating the heavy-care access problem in New York in 1983. Policy solutions differ depending on the cause of the access problem. The strengths and weaknesses of the different policy solutions are compared.

Forecasting client transitions in British Columbia's Long-Term Care Program.

This article presents a model for the annual transitions of clients through various home and facility placements in a long-term care program. The model, an application of Markov chain analysis, is developed, tested, and applied to over 9,000 clients (N = 9,483) in British Columbia's Long Term Care Program (LTC) over the period 1978-1983. Results show that the model gives accurate forecasts of the progress of groups of clients from state to state in the long-term care system from time of admission until eventual death. Statistical methods are used to test the modeling hypothesis that clients' year-over-year transitions occur in constant proportions from state to state within the long-term care system. Tests are carried out by examining actual year-over-year transitions of each year's new admission cohort (1978-1983). Various subsets of the available data are analyzed and, after accounting for clear differences among annual cohorts, the most acceptable model of the actual client transition data occurred when clients were separated into male and female groups, i.e., the transition behavior of each group is describable by a different Markov model. To validate the model, we develop model estimates for the numbers of existing clients in each state of the long-term care system for the period (1981-1983) for which actual data are available. When these estimates are compared with the actual data, total weighted absolute deviations do not exceed 10 percent of actuals. Finally, we use the properties of the Markov chain probability transition matrix and simulation methods to develop three-year forecasts with prediction intervals for the distribution of the existing total clients into each state of the system. The tests, forecasts, and Markov model supplemental information are contained in a mechanized procedure suitable for a microcomputer. The procedure provides a powerful, efficient tool for decision makers planning facilities and services in response to the needs of long-term care clients.

Simple counts of the number of basic ADL dependencies for long-term care research and practice.

General acceptance of a patterned progression of dependency in activities of daily living has led to the widespread practice of simply counting the individual's basic ADL dependencies to reflect his or her self-care needs and level of impairment. This method is convenient, and it is practical to the extent that individuals do fit a scaled pattern of dependency that allows some meaningful comparison among individuals and between groups to be made. This research, based on 3,611 Medicaid cases in Virginia, reports that 36 percent of those individuals screened for nursing home admission do not match a commonly accepted pattern of dependency. The analyses include a logistic regression procedure to explain the characteristics of the "ADL divergent" cases and a Guttman scaling procedure on the ADL data for the sample. Results of the analyses indicate that a Guttman scaling procedure does as well as, but not better than, the original Katz ADL scale, with both scales describing approximately two-thirds of the cases in the sample.

ASIM: a system for monitoring and evaluating the long-term care of the elderly and disabled.

OBJECTIVE: A system for monitoring and evaluating the long-term care of the elderly and disabled is presented, and its problems of completeness, reliability, and validity are discussed. DATA SOURCES/STUDY SETTING: Half-yearly (before 1987) and yearly (after 1987) surveys were taken from 1984 to 1990 of all persons living in the city of Solna, Sweden, who at May 1 and November 1, or November 1, were receiving long-term care services from the municipality or county council, or both. STUDY DESIGN: Completeness of observations was studied by linking survey and admission/discharge observations and checking for breaks in the chain of care. Reliability was estimated by comparing involuntary double registrations. Validity of the chosen measures of need was tested by comparing them with the actual provision of care services. DATA COLLECTION: Registrations concerning actually provided services, assessed need, social environment, and disability were collected on a regular basis by the staff responsible for the care services. PRINCIPAL FINDINGS: Completeness was estimated to be more than 99 percent after a special procedure was carried out for filling in gaps in the "care chain." Reliability testing of the disability measures showed between .69 and .76 Kappa coefficient of agreement. Disability variables were shown to explain 56 percent of variance in the need measure "appropriate level of care." CONCLUSIONS: Tests of completeness, reliability, and validity showed satisfactory results with regard to the purpose of the monitoring system and the limitations inherent in a system intended for routine application.

Nursing home case-mix reimbursement in Mississippi and South Dakota.

OBJECTIVE: To evaluate the effects of nursing home case-mix reimbursement on facility case mix and costs in Mississippi and South Dakota. DATA SOURCES: Secondary data from resident assessments and Medicaid cost reports from 154 Mississippi and 107 South Dakota nursing facilities in 1992 and 1994, before and after implementation of new case-mix reimbursement systems. STUDY DESIGN: The study relied on a two-wave panel design to examine case mix (resident acuity) and direct care costs in 1-year periods before and after implementation of a nursing home case-mix reimbursement system. Cross-lagged regression models were used to assess change in case mix and costs between periods while taking into account facility characteristics. DATA COLLECTION: Facility-level measures were constructed from Medicaid cost reports and Minimum Data Set-Plus assessment records supplied by each state. Resident case mix was based on the RUG-III classification system. PRINCIPAL FINDINGS: Facility case-mix scores and direct care costs increased significantly between periods in both states. Changes in facility costs and case mix were significantly related in a positive direction. Medicare utilization and the rate of hospitalizations from the nursing facility also increased significantly between periods, particularly in Mississippi. CONCLUSIONS: The case-mix reimbursement systems appeared to achieve their intended goals: improved access for heavy-care residents and increased direct care expenditures in facilities with higher acuity residents. However, increases in Medicare utilization may have influenced facility case mix or costs, and some facilities may have been unprepared to care for higher acuity residents, as indicated by increased rates of hospitalization.

Case mix for nursing home payment: resource utilization groups, version II.

A study of 3,427 nursing home residents in New York State, measuring both resources used and resident characteristics, was used to develop a resident classification system for payment purposes. The system balances clinical, statistical, and administrative criteria, making it useful both for the New York State Medicaid payment system and for quality of care and facility management.

A multidimensional approach to case mix for home health services.

Developing a case-mix methodology for home health services is more difficult than developing one for hospitalization and acute health services, because the determinants of need for home health care are more complex and because of the difficulty in defining episodes of care. To evaluate home health service case mix, a multivariate grouping methodology was applied to records from the 1982 National Long-Term Care Survey linked to Medicare records on home health reimbursements. Using this method, six distinct health and functional status dimensions were identified. These dimensions, combined with factors describing informal care resources and local market conditions, were used to explain significant proportions of the variance (r2 = .45) of individual differences in Medicare home health reimbursements and numbers of visits. Though the data were not collected for that purpose, the high level of prediction strongly suggests the feasibility of developing case-mix strategies for home health services.

Testing a diagnosis-related group index for skilled nursing facilities.

Interest in case-mix measures for use in nursing home payment systems has been stimulated by the Medicare prospective payment system (PPS) for short-term acute-care hospitals. Appropriately matching payment with care needs is important to equitably compensate providers and to encourage them to admit patients who are most in need of nursing home care. The skilled nursing facility (SNF) Medicare benefit covers skilled convalescent or rehabilitative care following a hospital stay. Therefore, it might appear that diagnosis-related groups (DRG's), the basis for patient classification in PPS, could also be used for the Medicare SNF program. In this study, a DRG-based case-mix index (CMI) was developed and tested to determine how well it explains cost differences among SNF's. The results suggest that a DRG-based SNF payment system would be highly problematic. Incentives of this system would appear to discourage placement of patients who require relatively expensive care.

Comparing case-mix systems for nursing home payment.

Case-mix systems for nursing homes use resident characteristics to predict the relative use of resources. Seven systems are compared in structure, accuracy in explaining resource use, group homogeneity, and ability to identify residents receiving heavy care. Resource utilization groups, version II (RUG-II), was almost uniformly the best system, although management minutes and the Minnesota case-mix system were also highly effective. Relative weights for case-mix groups were sensitive to cost differences and should be recomputed for new applications. Multiple criteria should be used in choosing a case-mix system, including consideration of inherent incentives and how residents' characteristics are defined.