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a Division of General Internal Medicine and Geriatrics, University of Louisville, and Louisville VA Medical Center, KY
b Division of Geriatrics Services, Palmetto Richland Memorial Hospital, and Division of Geriatric Medicine, University of South Carolina, Columbia
c VA Medical Center, Columbia, SC
d VA Medical Center, Decatur, GA
e Center of Aging, University of AlabamaBirmingham
Correspondence: Christine Ritchie, MD, MSPH, Division of General Internal Medicine, Geriatrics and Health Policy, University of Louisville, 501 East Broadway, Suite 320-06, Louisville, KY 40202. E-mail: csritchie{at}louisville.edu.
Acceptance Editor: Eleanor S. McConnell, RN, PhD
| Abstract |
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Key Words: Case management Rural aging MDS-HC
The older rural population in America continues to grow (Krout 1994
). One quarter of all older individuals live in small towns or rural areas (U.S. Bureau of the Census 1998
). Rural older adults have incomes that are approximately 20% lower than those in urban areas. They also suffer from more chronic illness and disability than their metropolitan counterparts. Access to essential health and human services is limited and underdeveloped in rural areas (Coward, McLaughlin, Duncan, and Bull 1994
).
Almost one quarter of all veterans also live in rural areas (U.S. Bureau of the Census 1998
). In some states, such as Vermont and Iowa, more than half of the state's veterans live in rural areas. Frail, rural older veterans may be at particular risk of illness, disability, institutional placement, and death if they receive a portion of their care from a more centralized, urban Veterans Administration Medical Center (VAMC). These rural elderly veterans, in addition to their usual burden of disability risks, have less access to VAMC-based care options. Moreover, non-VA health and social servicesbesides being fragmented from the client's perspectiveare less available or nonexistent in rural areas (Dwyer, Lee, and Coward 1990
).
To serve the rural veteran population better, a model of care is needed that addresses gaps in services and the current level of fragmented care experienced by these veterans. Following earlier findings concerning the efficacy of in-home geriatric assessment services (Stuck, Siu, Wieland, Adams, and Rubenstein 1993
), a recent systematic review suggests that well-developed community-based programs may be effective in reducing mortality, forestalling functional decline, and offsetting use of more expensive services (Stuck et al. 1999
). The primary features associated with favorable outcomes in these programs were the following: (a) the use of comprehensive geriatric assessment as the initial clinical evaluation of older persons; (b) patient/client involvement in developing prevention, treatment, and self-management recommendations; and (c) long-term application of clinical intervention characterized by periodic return visits and reassessments.
| The Coordination and Advocacy for Rural Elders Program |
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In an attempt to obtain meaningful information on the impact of such a rural longitudinal care management model, CARE was initiated as a pilot clinical program in the Southeast, where one third of all veterans live in rural settings. The CARE team's focus is on care coordination and patient advocacy. The goal of CARE is not to be a substitute for primary care but, based on identified problems, to educate participants and caregivers and advocate for patients within the health care system, connect them to services, and monitor progress. The CARE team performs scheduled, standardized assessments, identifies problems, develops care plans, and tracks resolution of identified problems. The team stays abreast of services available to their patients through extensive resource manuals they have developed and updated for each county. Thus CARE teams provide both a standardized and tailored advocacy role in the form of community and VA service linkage, empowering older rural patients and communicating with providers about patient needs.
Target Population
At the initiation of the CARE program, older rural veterans were first risk screened, with those at risk recruited into the program. CARE targeted at-risk and frail elderly veterans (age
75 years) living in nonurban counties between 50100 miles from host VAMCs in Atlanta, Georgia, and Columbia, South Carolina. This radius was chosen because VA-based integrated home care services currently extend to 50 miles from the host VAMC, but no such services exist beyond 50 miles. To screen the population base, veterans were first identified from databases of historical users (within the past 5 years) of any VAMC or outpatient clinic within the Atlanta Veterans Integrated Service Network (including most of Alabama, Georgia, and South Carolina). Then, rural elderly service users living in targeted rural counties were telephone screened by a university-based survey lab using the Probability of Repeated Hospital Admission (PRA-Plus) questionnaire (Boult et al. 1993
; Boult, Pacala, and Boult 1995
; Pacala, Boult, and Boult 1995
). PRA-Plus includes questions on self-rated health, health care utilization, medical problems including diabetes and CAD, living arrangements, and caregiver status. The telephone screener also included questions confirming key demographic data (name, address, gender, race, education, and marital status) and the Short Portable Mental Status Questionnaire (Pfeiffer 1975
). A PRA-Plus risk threshold of
0.35 for eligibility was established, conforming to moderate-to-high PRA-Plus risk. Together, the age threshold (
75 years), rural residence, and moderate-to-high PRA-Plus risk were expected to produce a patient cohort whose age-related challenges, access-to-services issues, and multidimensional health problems would be appropriately addressed by the CARE approach.
After screening, at-risk veterans were called by nonclinical program evaluation staff (Fig. 1). Consenting veterans were visited in their homes by these staff, were informed about the program, and thenwith proxies if necessaryunderwent a full baseline interview. The interview covered a range of health and functional areas. Baseline health-related quality of life was assessed using bodily pain and general health perception items from the Short Form-36 (Ware 1993
). Cognition was assessed using the Mini-Mental State Examination (MMSE; Folstein, Folstein, and McHugh 1975
) and functional status using both the Functional Independent Measure (telephone version; McDowell and Newell 1996
), and the Personal Self-Maintenance Scale (Lawton and Brody 1969
). Affect was measured using the two-question PRIME-MD (Whooley, Avins, Miranda, and Browner 1997
). To address burden of illness, a validated patient-interview version of the Charlson comorbidity measure were administered (Katz, Chang, Sangha, Fossel, and Bates 1996
). Insurance coverage and household income were also determined. Evaluation staff also comprehensively recorded prescription, over-the-counter (OTC), and alternative medications and nutraceuticals, along with dose and frequency information.
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CARE team members had varying experience in geriatric and community-based care. However, the average time needed to complete in-home assessments was about the same in Georgia (GA) and South Carolina (SC), at about 40 min. CARE teams used the initial CAP reports, their own clinical judgment, and interventions started during the first visit to develop for each client a comprehensive problem list and action plan (Fig. 1). Action plans encompass connecting patients to services, advocating on the patient's behalf within the patient's health care context, and following progress, usually by telephone. Using a coded activity (process) inventory ("CARE-Tracker"), the teams recorded actions initiated for each problem detected at each assessment, and followed the problems to resolution. With up-to-weekly consultation from geriatricians and intervisit contacts with patients, families, and formal service providers, teams further refined problem lists and management plans (Fig. 1). Patients were scheduled for in-home MDS-HC reassessments at 46 month intervals or a minimum of twice annually. However, those with more active problems or experiencing especially critical events (e.g., a hospitalization) may have been visited for full reassessment ahead of schedule. By proactively evaluating patients, CARE teams were often able to identify new problems soon after they developed.
Results of Telephone Screening and Characteristics of Participants
Roughly 2,600 veterans aged 75 and older who lived 50100 miles from host VAMCs were identified from 5-year VA utilization files. Of these, 35% were not telephone screened due to inaccurate telephone information or death. Only 3.5% of contacts refused or were unable to complete screening. Among those screened, 52.1% had risk scores over the PRA-Plus threshold of 0.35. Recruitment was terminated once follow-up capacity was reached. Among at-risk veterans contacted for CARE enrollment, the participation rate was 84.3%.
Characteristics of CARE participants are listed in Table 1 . On average, CARE participants were male (99.6%), married (83.6%), and White (78.2%). Although they generally reflect an elderly, chronically ill, and disabled rural veteran population "at risk," some differences between the GA and SC subgroups emerged. Compared with the SC patients, the GA participants were less educated, felt more income pressure, and had worse self-rated health, pain, depression, and comorbidity scores. In contrast, the SC patients tended to be older and to have more disabilities than the GA participants.
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Interventions Initiated by the CARE Team
Following initial assessment, the CARE team initiated at least one intervention in 78.8% of the participants. On average, 7.7 (±8.5, median = 4) interventions were initiated per patient. Table 3 shows the distribution of care management activities to CARE patients as well as the frequencies of each as a percentage of all CARE activities. Almost half (47.3%) of CARE initial activities were educational in nature, with 57.1% of patients/families receiving at least one such intervention. Although fewer than a third of individual initial CARE activities comprised formal service coordination, almost two thirds of CARE patients received at least one referral or were linked to a formal service for an identified need. Over 56% received a medical service referral/linkage, and 13.3% received a referral to community-based supportive services. About 3% were hospitalized or institutionalized as a result of the initial assessment. Most patients referred to medical services and supportive services (82.5% and 71.4%, respectively) were referred to VA as opposed to private or other community providers. Two of the seven hospitalizations and nursing home placements were in VA facilities.
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| Discussion |
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A key finding of the program in its initial development is the high level of newly discovered unmet needs in the groups receiving CARE services. The CAP trigger or the team's independent identification of a problem identified problems that were more active than was realized by current health care providers, or otherwise not being monitored or treated. This finding highlights the benefit of routine standardized comprehensive assessment in this population. The VA Policy Board for Geriatrics and Extended Care has recognized this need, and has recently mandated the use of the MDS-HC for VA community health programs.
Nearly two thirds of clients required referral or linkage with formal services (and more than half specifically with medical providers) to deal with active health problems. While the differences in problem prevalence between the GA and SC populations is notable, the problems appear to be congruent with the differing baseline patient characteristics and are ultimately traceable to differences in the populations using the Atlanta and Columbia VAMCs. However, some differences between SC and GA CAP rates, and between overall CAP rates and baseline characteristics, suggest the need for building assessment skills and ongoing monitoring.
Although many CARE interventions make use of community and non-VA resources, many linkages are back to hospital- or clinic-based VA services, entailing all the usual transportation, communication, and adherence difficulties. To what extent this reflects resource scarcity in rural areas or other factors, including patient preference or fiscal and structural barriers, is unknown. At their inception, the CARE services were limited to referral functions with respect to non-VA providers, but more recently the program has become responsible for brokering these services as well, which may improve their effectiveness (Christianson, Applebaum, Carcagno, and Phillips 1988
). Examples of such interactions include working with patients' private physicians to provide rehabilitation services, advocating with community agencies for respite services, and partnering with veterans services organizations to address transportation needs. Improvement of CARE's effectiveness may also largely hinge upon continuing education of the CARE teams concerning evidence-based and best-practices approaches that address the problems they uncover in their patients. Monthly team conference calls have provided a basis for undertaking such education and consensus building. In the long run, building a longitudinal database containing both MDS-HC information as well as the CARE-Tracker data (encompassing treatment/management goals, care plans, and progress notes) will enable a continuous quality improvement approach to managing and improving the impact of the CARE program.
While the unavailability or under-capacity of various rural sources of medical and supportive services requires continuing attention from policy makers, the CARE experience has already begun to highlight the need to reengineer VA services and benefits toward more efficient and effective rural community-based care. Because of gaps in Medicare benefits, many frail or at-risk rural elderly veterans, whose primary medical needs might be more effectively served by the rural federally qualified health centers, are drawn to urban VAMCs to receive drugs and other services not covered by Medicare. Over the longer term, VHA will need to determine an appropriate balance of direct versus brokered services. Adding VHA fiscal resources to other public dollars might stimulate improved capacity in rural areas for care of veterans. In the short term, the current fragmentation of provision and financing, which is worst in rural communities, demands programs like CARE to mitigate negative outcomes. Implementing comprehensive, community-based care in at-risk older veterans requires core assessment, management, and oversight activities as well as continuous quality improvement approaches, such as those implemented in CARE. In addition, setting up a service whose responsibility is to perform standardized assessment and to improve outcomes describes a domain in which continuous quality improvement can take place, given sufficient commitment to building the skill sets of CARE teams as well as identification and removal of VA and non-VA organizational barriers to improving care overall.
In summary, the CARE program represents a model of rural longitudinal care management that incorporates standardized comprehensive assessment, standardized care plan development, patient empowerment and advocacy, and software supported longitudinal followup. The initial assessment yields and description of CARE activities suggest a rural elderly veteran population with many needs that are not currently being met by VA or community-based services due to inaccessibility, underdevelopment, and unavailability. Follow up of health outcomes and service utilization patterns at 2 years should indicate how CARE's long-term management is related to improvement or maintenance of veterans' health, functioning, and community tenure, further guiding program development. The process of deploying effective and efficient community-based services for rural elderly veterans will be a long one, needing programs like CARE to lead the way.
The Forum
Book Reviews
Practice Concepts
| Acknowledgments |
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Received for publication August 4, 2000. Accepted for publication November 15, 2001.
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