Adult
Day Health Services:
|
![]() |
![]() |
|
AcknowledgementsThis evaluation was
conducted with the funding of the Robert Wood Johnson Foundation, and
with the funding of the New Jersey Department of Health and Senior Services
(DHSS). We wish to thank the following DHSS staff: Elizabeth Huber, Chet
Buzzelli, Donald Widmeyer, and William Caldwell. We also wish to acknowledge
the work of CSHP staff members Dorothy Gaboda, Paul Hamborg, and Mina
Silberberg. |
|
![]() |
|
Table of ContentsExecutive
Summary |
|
![]() |
|
Executive SummaryIntroduction New Jersey spent $23 million in 2000 (state share only) on ADHS. One hundred ADHS facilities receive funding through various public and private sources: Medicaid as part of the state health plan, Medicaid waivers and special programs, Title III, respite care contracts, reimbursement for developmentally disabled (DD), grants from the state Alzheimer's Association, and county funds, and private fees. The NJDHSS Medical Day Care Program is designed for adults who do not require 24-hour inpatient institutional care, yet need health maintenance and restorative services due to physical and /or mental impairment. Pediatric day health services are provided only for those technologically-dependent and/or medically unstable children who require continuous nursing care in a developmentally appropriate setting (NJDHSS, Medical Day Care Services Manual, 2000). For the year 2000, there are over 9,000 Medicaid-enrolled participants in New Jersey's adult and pediatric Medical Day Care Program. The majority of service users reimbursed through DHSS are over the age of 65, with this group using the most units of service. Currently MDC program reimbursement for adult and pediatric day health services in New Jersey is facility-specific, which does not reflect the more intensive services needed by the frail and physically dependent participants. Due to concerns about the continued increases in annual Medicaid expenditures for adult day health services, the NJDHSS is examining the population served, client assessments, program goals, and additional potential approaches to reimbursement. The CSHP is providing the Department of Health and Senior Services (DHSS) with this review of the literature on adult day services, and of the literature that examines alternative types of reimbursement systems. Methods Results Overview
of ADHS: Regulations, Services, Populations Served, Funding, Cost, Staffing,
and Utilization Most adult day health
service programs provide: health assessments, nursing supervision, and
nursing assessments; medication administration and assistance with toileting,
bathing, and other Activities of Daily Living (ADLs); therapeutic recreation,
socialization, and group activities; and nutrition assessment, case management/care
coordination, and transportation (Weaver, 1996).
Additionally, in facilities that serve special populations such as individuals
with dementia, other services are provided such as cognitive stimulation,
family counseling, and music therapy (Jarrott, Zarit,
Berg, & Johansson, 1998). The type of service a facility provides
is very much linked to the level of staff needed, and to the variation
in cost reported among facilities. Nationally, the typical adult day health service user is elderly, disabled, and averages 75 years of age. Many are functionally dependent, needing assistance anywhere from one ADL to three ADLs. Adult day health service users are likely to have some type of dementia, such as Alzheimer's Disease, that requires constant supervision (Dabelko & Balaswamy, 2000), and they have a high prevalence of disordered behaviors. Those diagnosed with a disability before the age of 22 and children who have unstable medical conditions and are technologically dependent also utilize day health services but to a lesser degree. Reimbursement
Structures
It is clear from
the literature that LTC services are moving toward patient-specific case-mix
systems for reimbursement structures. These classify persons based on
their functional health status. The diverse ages and conditions of the
LTC population mean that we cannot classify the disabled and elderly with
just a single measure such as a condition / diagnosis. Many different
conditions, both physical and mental, can cause disability and subsequently
the need for different types and amounts of assistance. All needs-based reimbursement systems use dimensions that fall into four main groups: ADLs, medical conditions, special services, and mental and behavioral status (Fries, 1990). These critical areas guided our literature review for measures appropriate for ADHS goals and for possible needs-based reimbursement application. They can be described as follows:
These critical areas have not been examined in the day health services population. If data related to these can be captured from day health services assessments instruments and are shown to account for care time needed, then appropriate measures can be identified for a possible needs-based system for reimbursement. Summary To inform the Department,
the CSHP is currently undertaking a survey of other states' adult and
pediatric day health services and reimbursement systems. We are reviewing
participant assessment instruments identified during the survey of states'
ADHS programs. We are also identifying Medicaid claims data and other
sources of data to better describe the NJMDC Program client profile. |
|
![]() |
|
| Adult
Day Health Services: A Review of the Literature |
![]() |
|
Introduction Adult day health services in New Jersey provide for individuals, who, due to their physical and/or mental impairment, need health maintenance, rehabilitation, and restorative services supportive to their community living. For some, this is a community-based alternative to institutionalization. Over 9,000 Medicaid beneficiaries in New Jersey participate in Medicaid-financed adult day health services annually. With approximately 10-15 new facilities applying for licensure per year, the ADHS industry in NJ is growing at a fast pace (NJDHSS, 2000). New Jersey spent $23 million (state share only) on ADHS services in 2000 through either the provision of direct services at various facilities, or by reimbursing providers through Medicaid. The DHSS is concerned about continued increases in annual Medicaid expenditures for adult day health services with no limits set on the number of participants. Current Medicaid reimbursement is a flat-rate reimbursement structure that varies by facility setting. Industry representatives have also expressed concerns that the flat-rate structure does not reflect the more intensive services provided to participants that are frailer and physically dependent. New
Jersey's Adult and Pediatric Day Health Service Program Funding in New Jersey is available through Medicaid as part of the state health plan, Medicaid waivers and special programs, Title III, respite care contracts, reimbursement for DD, and grants from the state Alzheimer's Association. Although many of ADHS facilities receive funding from several sources, the majority of public funding is derived from Medicaid (Adult day health care is not a Medicare-covered service. However, a small amount of Medicare funding supports adult day care through programs such as the Program for All-Inclusive Care for the Elderly, known as PACE. See below for a description.). As seen in Table 1, there were over 9,000 Medicaid-enrolled participants in New Jersey's adult and pediatric day health service programs in 2000. This table also depicts the complexity of having multiple plans, special programs, waivers, and other mechanisms funding ADHS for Medicaid participants. For example, participants in waiver programs, such as the Division of Developmental Disability (DDD) waiver and the Traumatic Brain Injury (TBI) waiver, may receive adult day health services as part of their comprehensive plan of service as well as from other departmental divisions. Overall, 92 percent of Medicaid-financed participants of adult and pediatric day health services receive reimbursement through DHSS, 5 percent through DHS, and 3 percent through other divisions. Services and Utilization The NJDHSS MDC Program
reimburses for adult and pediatric day health services but not for socially
oriented programs. The MDC Program is appropriate for individuals who
do not require 24-hour inpatient institutional care, yet need health maintenance
and restorative services due to physical and /or mental impairment. Pediatric
day health services are available only for technologically-dependent and/or
medically unstable children who require continuous nursing care in a developmentally
appropriate setting (NJDHSS, Medical Day Care Services
Manual, 2000). As seen in Table 2, the majority of day health service
users whose services are reimbursed through DHSS are over the age of 65.
They are also the group using the most units of service, followed closely
by those between the ages of 22 and 64. |
|
![]() |
|
![]() |
|
![]() |
|
| With no
real limit on ADHS expenditures and no limitations on the number of Medicaid-eligible
participants, NJDHSS is exploring the use of a needs-based model that reimburses
facilities based on an assessed need-category for day health service participants.
In order to consider this type of change in payment structure, information
must be obtained about the currently served population, factors that might
be used to develop categories of need (e.g., functional level, medical diagnosis,
risk for nursing home placement, etc.), and the potential impact of alternative
payment strategies upon Medicaid-funded ADHS program clients.
In this first report,
we review the literature for adult day health service programs. We summarize:
Methods Since New Jersey's MDC Program involves adults, developmentally disabled, and pediatric populations, we reviewed ADHS literature for these three populations. We started with a general search about ADHS and then expanded the search to other long-term care areas such as policy and reimbursement. Additionally, we reviewed (from several national and state associations and organizations) relevant reports, research projects, and survey information.ii Results Policy
Initiatives Affecting Adult Day Health Services Medicaid spending
for ADHS has increased significantly in recent years. In 1996, the Home
and Community-Based Services Waiver (1915-c) was reported by Weaver (1996)
as the funding source used most often in 24 states. Although this waiver
was originally designed for those with developmental disabilities, newer
waiver proposals have incorporated language that supports aging-in-place
to stimulate alternatives to institutionalized long-term care. Medicaid
as part of the state health plan, the Social Services Block Grant (SSBG),
and Title III are other monies that allow states to provide services for
eligible elderly or disabled persons, but have been traditionally oriented
towards social day service programs. For example, Title III monies support
community transportation, social, recreation, education, and nutrition
programs (Weaver, 1996). States have also
allocated significant state general revenue funds for home and community-based
care. Home and community-based
care (including ADHS) has now expanded nationally from a 10 percent share
of Medicaid long-term care dollars in 1987 to a reported 24 percent in
1997 as options to institutional care (Coleman,
1998). States are broadening the scope of publicly funded long-term
care services beyond costly nursing home (NH) care both to control growth
in Medicaid spending and to offer consumers greater options. However,
costs are still a concern, as policymakers are worried that they may be
adding to overall Medicaid expenditures for home and community based services
while nursing home costs continue to rise. Many states have
been looking for ways to control the rapidly rising costs of long-term
care (LTC), while meeting consumer demand to offer alternative forms of
care. In their profile of LTC in thirteen states, Wiener and Stevenson
(1998) note that almost all the states they
studied are looking into/planning managed care for integration of acute
and LTC to reduce the rate of increase in state expenditures. The best
known example is the Program for All- Inclusive Care for the Elderly (PACE)
which targets those at risk who meet patient-specific criteria for a nursing
facility level of care. Both the elderly and persons with disabilities
are eligible. PACE programs vary by state, but they include risk-sharing
for long-term and acute care, with comprehensive services often provided
out of multi-purpose ADHS programs (Rudolph &
Lubitz, 1999). Most states are also supporting the use of non-medical residential care as an alternative to NH care for the elderly in addition to regulating the growth of NH beds and tightening NH eligibility. Several other ways states are responding include: Community-based services under a single agency regardless of funding source, single point of entry agencies, assisted living facilities, and funds to persons with disabilities to manage their own care (Coleman, 1998). Overview
of Day Health Services Regulations/Licensing/Certification/Accreditation There is great variation
among states in their regulation of day health service programs. The Intergovernmental
Health Policy Project (Lipson, 1994) reported
that some states require licensure, certification, standards, or voluntary
guidelines for adult day health service programs, while other states require
none. Additionally, the Commission on Accreditation of Rehabilitation
Facilities (CARF) offers voluntary accreditation to ADHS programs as a
way to maintain standards and quality assurance. Since 1998, CARF has
provided accreditation for ADHS programs through an agreement with NADSA. Staffing and service differences were related to licensing and certification of adult day health service programs (Weissert et al., 1990). Certified centers had more staff as well as a higher skill mix. They were also more likely to have a medical director and a registered nurse than uncertified, unlicensed, or even licensed-only centers. Certified centers also had smaller participant-to-staff ratios and were more likely to provide certain services such as transportation and case management. The latter held true for licensed centers as well. In their most recent data, NADSA (1998) report that 34 states require licensure, while the rest offer certification, some type of program standards, or nothing at all.
Costs
Operating costs have also been linked to service intensity (Weissert et al., 1990). Socially-oriented facilities reported less per diem costs than those that provided more costly services such as nursing care and participant supervision (i.e., health-oriented facilities). Staffing
and Utilization Adult day health
service attendance and demand have been related to a number of factors,
particularly to the type of services offered (Conrad,
Hughes, & Wang, 1992). Services such as occupational, physical,
and speech therapy as well as ADL and instrumental activities of daily
living (IADL) training were associated with higher demand and attendance.
Also, individuals with higher needs were more likely to attend day health
services more frequently while those who were higher functioning demanded
day health services availability but did not attend day health service
facilities regularly. In comparison, full-time
utilization of day health services has been found to be dependent on several
factors. Prior nursing home use, having a history of mental illness, stroke,
or cancer, and paying for services privately increased the likelihood
of clients' full-time attendance at AHDS. Interestingly, having only Medicaid
reimbursement for services did not increase full-time day care attendance,
unless these individuals who were paid for by Medicaid also needed assistance
in toileting and/or eating. However, for those with high income, dependency
in ADLs, impaired mobility, cognitive impairment such as with Alzheimer's
Disease, and transportation provided did not assure full-time attendance
(Weissert et al., 1990). Differences in utilization were also recently reported between privately paying and publicly supported ADHS participants in Maryland (Travis & McAuley, 2000). Private pay clients were older and usually made up only 23 percent of the ADHS population. Private payers also had more ADL dependencies, more short-term and long-term memory loss, and greater loss of cognitive functioning within the past 90 days than publicly supported clients. Populations
Served Currently, a high
number of cognitively impaired individuals are served by adult day health
service facilities (Dabelko & Balaswamy, 2000;
Teresi, Holmes, Koren, Dichter, Ramirez, & Fairchild, 1998).
In fact, compared to those individuals in home health care, ADHS users
were more likely to have some type of dementia, such as Alzheimer's disease,
that required constant supervision (Dabelko &
Balaswamy, 2000). Furthermore, many of the clients in ADHS were
found to have a prevalence of disordered behaviors, such as complaining,
feeling depressed, and repeating questions, not unlike nursing home residents
(Teresi, Holmes, Dichter, Koren, Ramirez, &
Fairchild, 1997). Other populations
using day health services include children and adults with developmental
disabilities (DD) and children who have unstable medical conditions and/or
are technologically dependent. Persons diagnosed with a disability before
the age of 22 made up only about 15% of Medicaid enrollees, but were in
fact, the heaviest users of Medicaid reimbursement, using 39% of all payments
(Davis & O'Brien, 1996). Individuals in special DD day health service programs have needed more assistance with ADLs, particularly with toileting, eating and bathing, and required more services such as occupational, physical, and speech therapies, and dental care (Hedrick, Rothman, Chapko, Inui, Kelly, & Ehreth, 1993; Weissert et al., 1990). These services necessitated more staff care time and more specialized skills. Similarly, children who were medically unstable and/or technologically dependent needed care for a wide range of physical conditions and highly technical equipment. According to a recent issue of the Guidelines for Pediatric Home Health Care from the American Academy of Pediatrics (Ruppert & Host, 2002), children who are medically needy and technologically dependent in pediatric day health care typically utilize such services as nursing care (including daily measures of temperature, pulse, respiration, cardiopulmonary assessment, and neurological assessment), special therapies such as physical therapy, and developmental intervention activities. Because of these highly skilled services, most day health service programs for children reported employing registered nurses or specialized pediatric registered nurses for this care ( Briggs, 1987; Crowley, 1990; Porter, 1992;Ruppert & Host, 2002). Outcomes
Research: Effectiveness of ADHS According to Gaugler and Zarit (2001), ADHS programs were found to be most effective when they were part of an integrated network of services such as PACE. Preliminary studies of these types of programs, such as Arizona's Long-Term Care System (ALTCS) showed fewer nursing home stays by participants. However, this could not be duplicated with individuals with Alzheimer's Disease, when the Medicare Alzheimer's Disease Demonstration Evaluation (MADDE) was reviewed. Reimbursement
Structures Three major types
of Medicaid LTC payment systems have been described by Schlenker (1991),
facility-specific, class-rate, and case-mix systems:
Early state case-mix
rate structures, such as reported by Maryland and Minnesota, used expert
panels or regressions to differentiate residents into 3-4 classifications/groups
simply by the number of dependencies in ADL. They then identified those
needing "special care." This led to groupings of light to heavy
care categories. This type of additive model has significant appeal because
managing particular resident conditions directly adds to care time and
resource use (Fries, 1990). More recent case-mix
systems classify patients according to common problems/conditions and
resource utilization (staff/time), known as "resource-utilization
groups" or RUGS (Fries, 1990). RUGS-III
now uses clinical characteristics data from the Minimum Data Set (Morris,
Fries, & Mehr, 1994), levels of assistance used in ADL (index
score), and a staff time-weighted measure to differentiate seven sub-groups
(Cornelius and Feldman, 1994). The trend for case-mix
systems in long-term care is exemplified by states such as Minnesota,
New York, and Maryland. These states have longstanding reimbursement systems
using ADL, cognitive and behavioral status, and special care services.
As these same factors are often used by ADHS providers to determine their
own internal service levels, these measures may be critical to include
in a needs-based system of reimbursement for Medicaid-funded ADHS participants. The assisted living
literature supports these same types of publicly funded reimbursement
approaches. Mollica's (2000) national survey
of state assisted living policies reports that 13 states use flat-rate
reimbursement. Some of these provide add-ons for specific ADL impairments
(e.g., North Carolina), or use a flat-rate based on the range of settings
(e.g., New Jersey). Tiered rates in assisted living have evolved to reimburse
facilities more fairly for care to more frail tenants and create an incentive
to serve those more likely to enter a nursing home. Tiered systems tend
to include 3-5 tiers based on type, number, and severity of the ADL, cognitive
or behavioral impairments, incontinence, medication administration, and/or
special services (Mollica, 2000). Literature describing
reimbursement systems for adult and pediatric day health services is scant.
Only one study by Weaver (1996) describes
reimbursement strategies as well as funding sources. This study limited
detailed program descriptions to eight states (CA, FL, NJ, NC, OK, PA,
and WA) for comparison with the study state, Texas. Significant disparity
in levels of reimbursement was reported. Two major types of state reimbursement
approaches for ADHS were reported by these 8 states: fixed per diem or
hourly rates and more complex needs-based reimbursement strategies. For
example, Illinois was described as using a flat-rate based on a simple
Determination of Need (DON) assessment score, that reimbursed at $22.43
for "regular" adult day health service clients and $24.43 for
"hard -to-serve" clients. Transportation for trips to the center
was reimbursed at $2.81 each way /day. The study does not define "regular"
or "hard-to-serve," and who conducts the assessment was also
not made clear. A more recent informal
survey of reimbursement methods was conducted by the NJDHSS in 1998. Seventeen
states were contacted and asked about reimbursement strategy, amount,
and whether or not transportation was included as a service. Most states
contacted based reimbursement on a per diem rate, ranging from $17.50
per day to $192.38 per day. A day typically consisted of 4 to 5 hours.
Some states reimbursed based on a per unit rate, with a unit equaling
3 hours. A few states such as New York, Colorado, and Delaware, had a
higher reimbursement rate for facilities serving special populations such
as those with Alzheimer's Disease, AIDS, and medically unstable or technology-dependent
children. Several experts
caution us to remember that in any reimbursement system, the amount of
the payment and the approach to reimbursement create incentives and disincentives
for the provider (Fries, 1990; Mollica, 2000; Schlenker,
1991; Schneider, Fries, Foley, Desmond & Gormley, 1988). Key
issues to consider are:
Since we were limited to examining literature available from other long-term care settings regarding reimbursement systems, we caution that some of the reimbursement methods examined may be inapplicable to ADHS. For example, the case-mix system used in nursing homes was developed from the clinical characteristics of NH residents using the Minimum Data Set-Resident Assessment Instrument (MDS-RAI). While similar in some aspects, the service populations and environments are different enough to raise questions of validity. Forms of the MDS-RAI are under development for assisted living and home care, but these have not been tested in ADHS. Factors
Included in the Literature for Needs-based Systems There are several domains essential for assessment of needs for the elderly (Williams, 1983). These domains are: physical functioning, mental and emotional functioning, family and social supports, environmental characteristics and adaptations, need for specific medical or rehabilitative therapies, and the potential for personally rewarding use of time. Without such comprehensive assessment, the disabled and elderly may be institutionalized when living at home with support services is possible. Conversely, they may not receive the intensity of care really needed resulting in accelerated decline. All needs-based reimbursement systems use dimensions that fall into four main groups: ADLs, medical conditions, special services, and mental and behavioral conditions (Fries, 1990). These critical areas guided our literature review for measures appropriate for ADHS goals and possible needs-based reimbursement application. Physical
Function ADL measures have
been incorporated within many comprehensive instruments (e.g.,
OARS) or as separate measures of ADL/IADL in index/rating scales
(e.g., Barthel Index) (Katz,
1983). Given the large number of instruments and measures and the
use of different item wording, compatibility and comparability among instruments
has been an issue. Another important
issue to consider is how ADLs are measured. ADL scores are most often
used as simple counts, ordered, or hierarchical scores. Each approach
has its advantages and disadvantages:
ADL measures are key in most reported long-term care eligibility and reimbursement strategies. Based on the literature, ADL scores (Katz et al., 1963) and IADL scores (Lawton & Brody, 1969) as related to need are worth investigating in the ADHS population. More important the question is: Do these factors alone account for the care time and resources needed for day care participants? Diseases/Conditions The omission of
medical diagnoses/conditions in classifying clients in needs-based systems
conceals the need for more qualified staff to monitor physiological changes
and complex medication regimens, and provide prevention and early intervention
(Travis and McAuley, 1999). In a study of
ADHS in Maryland, the following diagnostic categories were reported as
most prevalent in descending order: dementia, cardiovascular conditions,
neurological disorders, endocrine disorders, musculoskeletal conditions,
respiratory conditions, sensory disorders, neoplasms, digestive disorders,
and other (Travis and McAuley 1999). Among
those disabled utilizing personal assistance benefits such as rehabilitation
services, the same conditions were found to be prevalent as well as arthritis,
mental retardation, autism, cerebral palsy, epilepsy, asthma, and mental
disorders (Kennedy, 1997). A diagnosis alone is a weak proxy for level of need, since it does not offer information about severity, stability, or treatment needs. However, it does provide insight into the knowledge and skills staff will need to provide effective care and monitoring of more complex or unstable chronic conditions. Diagnostic categories also recognize the greater needs of special populations (e.g., clients with dementia, DD, AIDS/ARC) within general ADHS programs, and if tied to reimbursement, might act as an incentive for increased access and specialized program services for special populations. Cognitive
Function The cognitively
impaired require a safe environment with skilled staff providing close
supervision and an individualized plan of varied activities (Jarrott
et al., 1998). As many know, it may take as much or more time to
encourage, cue and prompt a person to self-perform a task than to provide
assistance. Others may have long-term care needs for supervision or guidance,
because of their mental impairments--such as mental retardation or schizophrenia.
They may be physically capable of performing self-care tasks, but may
be unlikely to do them in a safe, consistent, or appropriate manner that
does not endanger themselves or others without substantial supervision
(Pryor et al., 1994). This has implications
for staff time and effort, and therefore, needs-based systems / tiered
reimbursement should include measures of cognitive functioning as well
as levels of assistance needed. There has been some concern that basic ADLs may not directly measure cognitive impairment and may underestimate assistance requirements. ADLs can be a proxy for cognitive impairment, depending on the wording of the assistance needed scale. For example, assessing that a person requires cueing or prompting to initiate or complete an ADL primarily measures cognitive function. The IADLs generally considered most closely related to cognitive impairment are limitations in a person's ability to manage medications, manage finances, or to use the telephone (Kassner & Jackson, 1998). The Folstein (1975) Mini Mental State Exam (MMSE) is the gold standard used extensively to measure cognitive impairment in community LTC. In addition, the MDS-COGS is an index of MDS-RAI items that has convergent validity with the MMSE in nursing home populations. However, it remains to be seen if these are used in ADHS, in comprehensive assessment instruments used by states for waiver programs, or in instruments specific to children and the DD population. If cognitive impairment relates to care time needed for ADHS participants, then an appropriate measure for cognition should be included in a needs-based methodology. Problem
Behaviors The literature on caregiver activity with dementia clients provides ample evidence that assistance with common personal care tasks, communicating with the person who asks repeated questions, and ensuring safety related to impaired judgment and wandering, takes considerable amounts of time, and needs especially creative care approaches when the care recipient is reluctant (Reinhard, 2001). Jarrott, et al. (1998) report that in the New Jersey and Ohio, ADHS programs sampled, most administrators reported they would not enroll someone with severe cognitive impairment, and the most common restrictions for admission concerned incontinence and disruptive behavior. Early nursing home needs-based systems such as used in Minnesota differentiated ADL groups if residents had one or more frequently occurring behavior problems, ranging from disorientation and wandering to being physically abusive (Fries, 1990). A needs-based reimbursement structure should consider these most disturbing behaviors, and the additional staff skill and vigilance, time, and varied social and recreational programs needed. There are several instruments related to problematic behavior reported in the literature as valid and reliable for the elderly population (Cohen-Mansfield, 1989b). Special
Services In Maryland, about
one-fifth of ADHS participants of all ages received special treatments,
which included physical, occupational and speech/language therapies (Travis
& McAuley, 2000). These also included "habilitation services"
such as training and therapies to improve clients' personal and community
living skills for younger special populations (Coburn,
Kilbreth, Fortinsky, McGuire & Adler, 1990). The special treatment
and skill levels needed for technologically-dependent and medically unstable
participants, as is the case in pediatric day health services in New Jersey,
should be included in special services. There is some evidence
that services such as case management and family/caregiver education should
be considered as special. Considering that adult day health service participants
are predominately over age 75, unmarried women, and living with an adult
child, several researchers make the point that the social support that
can mitigate declines in ADLs is limited, so there tends to be an increased
use of formal helpers. These clients/ families need more formal case management
services to navigate the health system, particularly for clients with
multiple physical and mental health problems, and those who need a mix
of home care and day care services (Diwan, 1999).
Reinhard (2001) suggests that education and
counseling are needed for family members of the cognitively impaired and
of clients requiring complex nursing care. She argues that these should
be considered in addition to levels of ADL impairment when defining domains
and the appropriate staff skill-mix needed in developing needs-based systems. The provision of special services should be distinguished from the medical conditions that prompt service (Fries, 1990). He suggests that using the underlying condition rather than service received may avoid "gaming". He has found "special services" to be most appropriately involved in need-based systems when they are costly, serious, or invasive and linked directly to a medical condition. On those grounds, he did not suggest general participant or family education, range-of-motion, or reality orientation as special services in the nursing home setting. Special services need to be examined using a similar approach to ADLs. If this factor accounts for the care time needed for these day service participants, then we will identify the most appropriate measure. Summary
and Key Points Although programs
are either socially-oriented, health-oriented, or both, the general definition
of ADHS is a "structured, community-based, group programs designed
to meet the assessed physical, emotional, and psychosocial needs of functionally
limited [individuals]" (Abraham, 2000, p.105).
Currently, no overall federal policy exists regarding adult and pediatric
day health services, so most states set the policies, regulate care, and
control the resources. Thus, there is great variability among states'
approaches to ADHS, with variation in licensure, certification, and program
standards. Most users of ADHS
are elderly and disabled. Children who have unstable medical conditions
or are technologically dependent use day health services as well but to
a lesser degree. Utilization of day health services depends on several
factors: number and skill level of facility staff, types of services provided,
and client characteristics. In New Jersey, the MDC Program serves varied
participants, also mostly elderly and disabled. While pediatric special
needs have been well-defined for day health services, those of the DD
population have not. For example, some DD participants are served in special
programs under the DDD comprehensive program, while others may be part
of the adult day health program. Reimbursement information on ADHS is scant but the LTC literature describes three possible reimbursement systems: facility specific, class-rate, and case-mix systems, each with advantages and disadvantages. There is a clear move toward patient-specific needs-based systems reported for reimbursement structures because the needs of both the elderly and non-elderly vary based on age, disability, and conditions, that affect both the intensity and duration of care. Several dimensions are recognized as critical for classification systems: physical functioning using ADL and IADL assessments, disease/conditions, cognitive function, problem behaviors, and special services needed. These have not been tested in the day health service population. Next
Steps
Attempting to develop a client profile, selecting assessment domains and evaluating specific factors for use in a needs-based reimbursement structure that can address all the sub-populations served in New Jersey's Medical Day Care Program may not be feasible within the scope of this project - especially with the limited client-specific information available. Therefore, the DD and pediatric populations should be evaluated separately following an initial evaluation of the reimbursement structure for older adult participants, and with added involvement of the appropriate Department services.
|
|
| References | |
| Abraham,
B.W. (2000). Adult day care. In J. J. Fitzpatrick, T. Fulmer, M. Wallace,
& E. Flaherty (Eds.), Geriatric Nursing Research Digest. (pp. 105-108).
New York: Springer Publishing Company.
Allen, S.M., & Mor, V. (1997). The prevalence and consequences of unmet need: Contrasts between older and younger adults with disability. Medical Care, 35(11), 1132-1148. Briggs, N.J. (1987). Day care for medically fragile children. Pediatric Nursing, 13(2), 120-121. Buchanan, R.J., & Chakravorty, B.J. (1997). Medicaid home and community based waiver programs: Providing services to people with AIDS. Health Care Financing Review, 18(4), 83-103. Burke, M., Hudson, T., & Eubanks, P. (1990). Number of adult day care centers increasing, but payment is slow. Alternate Care, 34-42. Coburn, A.F., Kilbreth, E.H., Fortinsky, R.H., McGuire, C.A., & Adler, G.S. (1990). Impact of the Maine Medicaid waiver for the mentally retarded. Health Care Financing Review, 11(3), 43-50. Cohen-Mansfield, J. (1989). Agitation in the elderly. Advances in Psychosomatic Medicine, 19, 101-113. Coleman, B. (1998). New Directions for State Long-Term Care Systems: Second Edition. Washington, DC: AARP Public Policy Institute. Conrad, K.J., Hughes, S.L., & Wang, S. (1992). Program factors that influence utilization of adult day care. Health Services Research, 27(4), 481-503. Cornelius, E., Feldman, J., Marsteller, J.A., & Liu, K. (1994). Creating a MEDPAR (Medicare provider analysis and review) analog to the RUG-III (Resource Utilization Groups, Version III) classification system. Health Care Financing Review, 16(2), 101-26. Crowley, A.A. (1990). Integrating handicapped and chronically ill children into day care centers. Pediatric Nursing, 16(1), 39-44. Dabelko, H.I., & Balaswamy, S. (2000). Use of adult day services and home health care services by older adults: A comparative analysis. Home Health Care Services Quarterly, 18(3), 65-79. Davis, M.H., & O'Brien, E. (1996). Profile of persons with disabilities in Medicare and Medicaid. Health Care Financing Review, 17(4), 179-211. Diwan, S. (1999). Allocation of case management resources in long-term care: Predicting high use of case management time. The Gerontologist, 39(5), 580-590. Folstein, M.J., Folstein, S., & McHugh, P.R. (1975). Mini-mental state: A practical method for grading the cognitive state of patients for the clinicians. Journal of Psychiatry Research, 2, 189-198. Fries, B.E. (1990). Comparing case-mix systems for nursing home payment. Health Care Financing Review, 11(4), 103-119. Gaugler, J.E., & Zarit, S.H. (2001). The effectiveness of adult day services for disabled older people. Journal of Aging & Social Policy, 12(1), 23-47. Hedrick, S.C., Rothman, M.L., Chapko, M., Inui, T.S., Kelly, J.R., & Ehreth, J. (1993). Overview and patient recruitment in the Adult Day Health Care Evaluation Study. Medical Care, 31 (9 Suppl.), SS3-14. Jarrott, S.E., Zarit, S.H., Berg, S., & Johansson, L. (1998). Adult day care for dementia: A comparison of programs in Sweden and the Unites States. Journal of Cross-Cultural Gerontology, 13, 99-108. Jarrott, S.E., Zarit, S.H., Parris-Stephens, M.A., Townsend, A., & Greene, R. (1999). Caregiver satisfaction with adult day service programs. American Journal of Alzheimer's Disease, 14(4), 233-244. Kassner, E., & Jackson, B. (1998). Determining comparable levels of functional disability. Washington D.C.: Public Policy Institute, AARP. Katz, S. (1983). Assessing self-maintenance: Activities of daily living, mobility, and instrumental activities of daily living. Journal of the American Geriatrics Society, 31(12), 721-727. Katz, S., Ford, A.B., Moskowitz, R.W., Jackson, B.A., & Jaffe, M.W. (1963). Studies of illness in the aged: The index of ADL: A standardized measure of biological and psychosocial function. Journal of the American Medical Association, 185(12), 914-919. Kennedy, J. (1997). Personal assistance benefits and federal health care reforms: Who is eligible on the basis of ADL assistance criteria? Journal of Rehabilitation, 63(3), 40-45. Lawton, M.P., & Brody, E.M. (1969). Assessment of older people: Self-maintaining and instrumental activities of daily living. The Gerontologist, 9, 179-186. Lazardis, E.N., Rudberg, M.A., Furner, S.E., & Cassel, C.K. (1994). Do activities of daily living have a hierarchical structure? An analysis using the longitudinal study of aging. Journal of Gerontology, 49, 47-65. Leitsch, S.A., Zarit, S.H., Townsend, A., & Greene, R. (2001). Medical and social adult day service programs: A comparison of characteristics, dementia clients, and their family caregivers. Research on Aging, 23(4), 473-498. Lipson, L. (1994). An Overview of State Regulations and Standards for Adult Day Care: 1993. George Washington University: AARP Group Health Insurance Program and The Prudential Insurance Company of America. Meuser, C.S. (1997). Why government and business should take a closer look at adult day care. Quinnipiac Health Law, 1, 219-255. Mollica, R. (2000). State Assisted Living Policy: 2000. Portland, ME: National Academy for State Health Policy. Morris, J., Fries, B., & Mehr, D.R. (1994). MDS cognitive performance scale. Journal of Gerontology: Medical Sciences, 49, M174-182. National Adult Day Service Association. (1998). Census of Adult Day Service Programs: 1997-1998. Washington, DC: The National Council on the Aging, Inc. NJDHSS. (1998). Adult Day Care Survey. Trenton, NJ: Department of Health and Senior Services, Office of Waiver and Program Administration. NJDHSS. (2000). Medical Day Care Services Manual. Trenton, NJ: Department of Health and Senior Services. Partners in Caregiving: The Dementia Service Program. (2001). Personal Communication with Nancy Cox. Porter, S.A. (1992). Infant medical day care: A natural extension of home care. Caring, 11(9), 90-92 and 94. Pryor, D., Cohen, W., & Durenberger, D. (1994). Long-Term Care: Diverse, Growing Population Includes Millions of Americans of All Age. General Accounting Office. Reifler, B., Cox, N.J., Rushing, J., & Yates, K. (1999). Service use and functional performance in a replication program in adult day centers. American Journal of Geriatric Psychiatry., 7, 98-107. Reifler, B.V., Henry, R.S., & Cox, N.J. (1995). Adult Day Services in America. Winston-Salem, NC: Partners in Caregiving: The Dementia Service Program. Reinhard, S.C. (2001). The Work of Caregiving: What do ADL's and IADL's Tell Us? New York, NY: United Hospital Fund. Rudolph, N.V., & Lubitz, J. (1999). Capitated payment approaches for Medicaid-financed long-term care services. Health Care Financing Review, 21(1), 51-64. Ruppert, E., & Host, N. (2002). Out-of-home child care and medical day treatment programs. In the American Academy of Pediatrics, Guidelines for pediatric home health care (pp. 489-505). Washington DC: American Academy of Pediatrics. Schlenker, R.E. (1991). Comparison of Medicaid nursing home payment systems. Health Care Financing Review, 13(1), 93-109. Schneider, D.P., Fries, B.E., Foley, W.J., Desmond, M., & Gormley, W.J. (1988). Case mix for nursing home payment: Resource utilization groups, version II. Health Care Financing Review, Annual Supplement, 39-51. Sulvetta, M.B., & Holahan, J. (1986). Cost and case-mix differences between hospital-based and freestanding nursing homes. Health Care Financing Review, 7(3), 75-84. Teresi, J.A., Holmes, D., Dichter, B., Koren, M.J., Ramirez, M., & Fairchild, S. (1997). Prevalence of behavior disorder and disturbance to family and staff in a sample of adult day health care clients. Gerontologist, 37, 629-639. Teresi, J.A., Holmes, D., Koren, M.J., Dichter, E., Ramirez, M., & Fairchild, S. (1998). Prevalence estimates of cognitive impairment in medical model adult day health care programs. Social Psychiatry & Psychiatric Epidemiology, 33(6), 283-290. Travis, S.S., & McAuley, W.J. (1999). Preexisting medical conditions in adult day services: An examination of nonmetropolitan and metropolitan admissions. Journals of Gerontology. Series A, Biological Sciences & Medical Sciences, 54(5), M262-266. Travis, S.S., & McAuley, W.J. (2000). Private pay clients in adult day services. Nursing Economics, 18(1), 23-8. Travis, S.S., & McAuley, W.J. (1990). Simple counts of the number of basic ADL dependencies for long-term care research and practice. Health Services Research, 25(2), 349-360. Weaver, J.W. (1994). Adult day care: Current trends and future projections. The Southwest Journal on Aging, 10(1&2), 19-25. Weaver, J.W. (1996). Adult Day Services: State Regulatory and Reimbursement Structure. Denton, Texas: University of North Texas. [DISSERTATION]. Weissert, W., Wan, T., Livierators, B., & Katz, S. (1980). Effects and costs of day-care services for the chronically ill: A randomized experiment. Medical Care, 18(6), 567-584. Weissert, W.G., Elston, J.M., Bolda, E.J., Cready, C.M. (1989). Models of adult day care: Findings from a national survey. Gerontolgist, 29(5), 640-649. Weissert, W.G., Elston, J.M., Bolda, E.J., Zelman, W.N., Mutran, E., & Mangum, A.B. (1990). Adult day care centers: Findings from a national survey. Baltimore: The Johns Hopkins University Press. Wiener, J.M., & Stevenson, D.G. (1998). Long-term care for the elderly: Profiles of thirteen states. Washington, D.C.: The Urban Institute. Williams, L. (1983). HCFA examines 'RUGs' for LTC reimbursement plan. Todays Nursing Home, 4(11), 1,7. Zarit, S.H., Stephens, A.P., Townsend, A., & Greene, R. (1998). Stress reduction for family caregivers: Effects of adult day care use. The Journals of Gerontology: Social Sciences, 53B(5), S267-S277. Zelman, W.M., Elston, J.M., & Weissert, W.G. (1991). Financial aspects of adult day care: National survey results. Health Care Financing Review, 12(3), 27-36.
|
|
| Endnotes | |
| i
Because the literature as well as most states' materials refer to medical
day care (MDC) as adult day health services (ADHS) or adult and pediatric
day health services, these terms will be used instead of medical day care
throughout this report unless we are specifically referring to the NJDHSS
Medical Day Care Program. For simplicity, we will only use the term ADHS
even when studies refer to both ADHS and ADS programs.
ii Databases that were searched include MEDLINE, HEALTHSTAR, PROQUEST, and DIGITAL DISSERTATIONS. Organizations that were contacted were Research Triangle Institute, Human Services Research Institute, National Adult Day Services Association (NADSA), CMS (Centers for Medicaid & Medicare Services, formerly HCFA), National Council On the Aging (NCOA), American Association of Retired Persons (AARP), Partners in Caregiving: The Dementia Service Program as well as several state adult day services associations. Most of the searches were about policy, reimbursement, and general information on adult day health services. iii Federal funding comes from several sources through the Social Security Act including Medicaid (Title XIX), Social Services Block Grants-Title XX (SSBG), and Older Americans Act (Title III) programs. Medicare does not cover ADHS, although it may reimburse for medical rehabilitation services provided in an ADHS facility that is CARF-certified as a comprehensive out-patient rehabilitation facility. Nevertheless, Medicaid is the primary source of public funding. The Department of Veterans' Affairs also contract to reimburse ADHS for eligible veterans in select locations (Weaver, 1996). iv A few surveys such as NADSA (1998) and Weissert et al. (1990) used national samples of ADHS facilities, while other studies focused on one state or a comparison of selected state programs for ADHS(NJDHSS, 1998; Travis & McAuley, 1999; 2000; Weaver, 1996); still others evaluated special-purpose day health service facilities such as ADHS for disabled veterans (Hedrick, Rothman, Chapko, Inui, Kelly, & Ehreth, 1993), and ADHS for individuals with dementia (Jarrott, S.E., Zarit, S.H., Parris-Stephens, M.A., Townsend, A., & Green, R. 1999; Leitsch, S. A. Zarit, S.H., Townsend, A., & Green, R.2001; Zarit, S.H., Parris-Stephens, M.A., Townsend, A., & Greene, R., 1998). v It should be noted that the majority of these sources focus on the adult population. A minimal amount of information was found that addressed child day health services. vi Evaluative
surveys of ADHS and integrated services that were reviewed by Gaugler
& Zarit (2001) include: Arling, Harkins, & Romaniuk, 1984; Branch,
Coulam, & Zimmerman, 1995; Capitman, 1982; Cohen, 1998; Gaugler, 1999;
Harder, Gornick, and Burt 1986; Hedrick, Rothman, Chapko, Ehreth, Diehr,
Inui, Connis, 1993; Jarrott, Zarit, Stephens, Townsend, & Greene,
1999; Lawton, Brody, & Saperstein, 1989; Montgomery and Borgatta,
1989; Newcomer, Fox, Yordi, Wilkinson, Arnsberger, Donatonni, & Miller,
1998; Strain, Chappell, & Blandford, 1988; Weissert, Elston, Bolda,
Zelman, Mutran, & Mangum, 1990; Weissert, Lesnick, Musliner, &
Foley, 1997; Weissert, Wan, Livierators, & Katz, 1980;; Wimo, Wallin,
Lundgre, Ronnback, Asplund, Mattsson, & Krakau, 1990Zarit, Stephens,
Townsend, & Greene, 1998. |
| Last updated: September 3, 2002 |