Helen Hoenig

Does Assistive Technology Substitute for Personal Assistance Among the Disabled Elderly

OBJECTIVES This study examined whether use of equipment (technological assistance) to cope with disability was associated with use of fewer hours of help from another person (personal assistance). METHODS In a cross-sectional study of 2368 community dwellers older than 65 years with 1 or more limitations in basic activities of daily living (ADLs) from the 1994 National Long Term Care Survey, the relation between technological assistance and personal assistance was examined. RESULTS Among people with ADL limitations, multivariate models showed a strong and consistent relation between technological assistance and personal assistance, whereby use of equipment was associated with fewer hours of help. CONCLUSIONS Among people with disability, use of assistive technology was associated with use of fewer hours of personal assistance.

In Situ Monitoring of Health in Older Adults: Technologies and Issues

With the upcoming reform of the healthcare system and the greater emphasis on care in the home and other living environments, geriatric providers will need alternate ways of monitoring disease, activity, response to therapy, and patient safety. Current understanding of the dynamic nature of chronic illnesses, their effects on health over time, and the ability to manage them in the community are limited to measuring a set of variables at discrete points in time, which does not account for the dynamic interactions between physiological systems and the environments of daily life. Recent developments of sensors, data recorders, and communication networks allow the unprecedented measurements of physiological and sociological data for use in geriatrics care. This article identifies and discusses the important issues regarding the use of monitoring technologies in elderly patients. The goals are fourfold. First, some emerging technology that may improve the lives of older adults and improve care are highlighted. Second, the possible applications of technology in geriatrics settings are discussed, with a focus on acute falls, dementia, and cardiac conditions. Third, real and perceived concerns in using monitoring technology are identified and addressed, including technology adoption by elderly people; stigma; and the reduction in social contact; ethical concerns of privacy, autonomy, and consent; concerns of clinicians, including information overload, licensure, and liability; current reimbursement schemes for using technology; and the reliability and infrastructure needed for monitoring technology. Fourth, future approaches to make monitoring technology useful and available in geriatrics are recommended.

Cognitive and physical rehabilitation of intensive care unit survivors: results of the RETURN randomized controlled pilot investigation.

Background:Millions of patients who survive medical and surgical general intensive care unit care every year experience newly acquired long-term cognitive impairment and profound physical and functional disabilities. To overcome the current reality in which patients receive inadequate rehabilitation, we devised a multifaceted, in-home, telerehabilitation program implemented using social workers and psychology technicians with the goal of improving cognitive and functional outcomes. Methods:This was a single-site, feasibility, pilot, randomized trial of 21 general medical/surgical intensive care unit survivors (8 controls and 13 intervention patients) with either cognitive or functional impairment at hospital discharge. After discharge, study controls received usual care (sporadic rehabilitation), whereas intervention patients received a combination of in-home cognitive, physical, and functional rehabilitation over a 3-month period via a social worker or master’s level psychology technician utilizing telemedicine to allow specialized multidisciplinary treatment. Interventions over 12 wks included six in-person visits for cognitive rehabilitation and six televisits for physical/functional rehabilitation. Outcomes were measured at the completion of the rehabilitation program (i.e., at 3 months), with cognitive functioning as the primary outcome. Analyses were conducted using linear regression to examine differences in 3-month outcomes between treatment groups while adjusting for baseline scores. Results:Patients tolerated the program with only one adverse event reported. At baseline both groups were well-matched. At 3-month follow-up, intervention group patients demonstrated significantly improved cognitive executive functioning on the widely used and well-normed Tower test (for planning and strategic thinking) vs. controls (median [interquartile range], 13.0 [11.5–14.0] vs. 7.5 [4.0–8.5]; adjusted p < .01). Intervention group patients also reported better performance (i.e., lower score) on one of the most frequently used measures of functional status (Functional Activities Questionnaire at 3 months vs. controls, 1.0 [0.0 –3.0] vs. 8.0 [6.0–11.8], adjusted p = .04). Conclusions:A multicomponent rehabilitation program for intensive care unit survivors combining cognitive, physical, and functional training appears feasible and possibly effective in improving cognitive performance and functional outcomes in just 3 months. Future investigations with a larger sample size should be conducted to build on this pilot feasibility program and to confirm these results, as well as to elucidate the elements of rehabilitation contributing most to improved outcomes.

Geriatric rehabilitation: state of the art.

OBJECTIVES: To provide a clinically useful conceptual framework for the evaluation and treatment of disability in older persons, to review the rehabilitation of common conditions affecting function in older persons, and to discuss the effects of the ongoing changes in the healthcare system on geriatric rehabilitation.

The effects of in-home rehabilitation on task self-efficacy in mobility-impaired adults: A randomized clinical trial.

OBJECTIVES: To examine the effect on mobility self‐efficacy of a multifactorial, individualized, occupational/physical therapy (OT/PT) intervention delivered via teletechnology or in‐home visits.

A Clinical Trial of a Rehabilitation Expert Clinician Versus Usual Care for Providing Manual Wheelchairs

Objectives: To determine the effect of differing methods of dispensing wheelchairs.

Effects of Telerehabilitation on Physical Function and Disability for Stroke Patients: A Randomized, Controlled Trial

Background and Purpose— To determine the effect of a multifaceted stroke telerehabilitation (STeleR) intervention on physical function, and secondarily on disability, in veterans poststroke. Methods— We conducted a prospective, randomized, multisite, single-blinded trial in 52 veterans with stroke from 3 Veterans Affairs medical centers. Veterans with a stroke in the preceding 24 months were randomized to the STeleR intervention or usual care. The STeleR intervention consisted of 3 home visits, 5 telephone calls, and an in-home messaging device provided over 3 months to instruct patients in functionally based exercises and adaptive strategies. Usual care participants received routine rehabilitation care as prescribed by their physicians. The primary outcome measures were improvement in function at 6 months, measured by both the motor subscale of the Telephone Version of Functional Independence Measure and by the function scales of the Late-Life Function and Disability Instrument. Results— The 2 complementary primary outcomes (Late-Life Function and Disability Instrument Function and Telephone Version of Functional Independence Measure) improved at 6 months for the STeleR group and declined for the usual care group, but the differences were not statistically significant (P=0.25, Late-Life Function and Disability Instrument; P=0.316). Several of secondary outcomes were statistically significant. At 6 months, compared with the usual care group, the STeleR group showed statistically significant improvements in 4 of the 5 Late-Life Function and Disability Instrument disability component subscales (P<0.05), and approached significance in 1 of the 3 Function component subscales (P=0.06). Conclusions— The STeleR intervention significantly improved physical function, with improvements persisting up to 3 months after completing the intervention. STeleR could be a useful supplement to traditional poststroke rehabilitation given the limited resources available for in-home rehabilitation for stroke survivors. Clinical Trial Registration— URL: http://www.clinicaltrials.gov. Unique identifier: NCT00384748.

Development of a teletechnology protocol for in-home rehabilitation.

Our ability to provide in-home rehabilitation is limited by distance and available personnel. We may be able to meet some rehabilitation needs with videoconferencing technology. This article describes the feasibility of teletechnology for delivering multifactorial, in-home rehabilitation interventions to community-dwelling adults recently prescribed a mobility aid. We used standard telephone lines to provide two-way video and audio interaction. The interventions included prescription of and/or training in functionally based exercises, home-hazard assessment, assistive technology, environmental modifications, and adaptive strategies. Patients were evaluated in three transfer and three mobility tasks, and appropriate treatment was provided over the course of four visits. To date, 13 of the 14 subjects enrolled in the rehabilitation study have completed all four visits (56 visits total). Equipment-related problems were most common early in the study, particularly on the initial visit to a subjects house. We identified (mean +/- standard deviation [SD]) 13.1 +/- 7.9 mobility/self-care problems per subject and made 12.5 +/- 8.3 recommendations per subject to address those problems. At 6-week follow-up, 60.1 percent of our recommendations had been implemented. The greatest number of problems was identified for tub transfers (mean +/- SD = 3.4 +/- 1.4), the greatest number of recommendations was made for toilet transfers (mean +/- SD = 3.1 +/- 3.4), and the most frequently implemented recommendations were for transition between locations. Overall, our results show promise that both the telerehabilitation technology and intervention procedures are feasible.

Incidence of Fractures in a Cohort of Veterans With Chronic Multiple Sclerosis or Traumatic Spinal Cord Injury

OBJECTIVE To measure skeletal fractures in a cohort of veterans with spinal cord dysfunction (SCD) due to multiple sclerosis (MS) or trauma-related spinal cord injury (SCI). DESIGN Retrospective cohort analysis. SETTING Database search. PARTICIPANTS Study subjects were a subset of the 1996 Veterans Health Administration (VHA) National Spinal Cord Dysfunction Registry, from which 8150 patients were identified with either MS (n=1789) or SCI (n=6361). Inpatient and outpatient encounters for nonaxial fractures, based on International Classification of Diseases, Ninth Revision, Clinical Modification codes, were identified through VHA administrative databases between October 1996 and June 2005. VHA Beneficiary Identification Records Locator Subsystem death file identified time of death. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Data from the 1996 VHA National Spinal Cord Dysfunction Registry survey was used to determine duration of disease and motor impairment (4 categories of motor impairment based on self-report of the number of limbs involved and degree of motor loss). Proportional hazard modeling evaluated the time to first fracture and Poisson regression evaluated relative risk (RR) of fracture by cause of SCD and degree of motor impairment, adjusting for age, sex, race, and duration of SCD. RESULTS Subjects were, on average, 52.5 years of age, acquired their SCD 22 years prior, and 386 of 8150 were deceased. During the study period, 4021 fracture encounters were identified representing 1738 unique fractures for 1085 of 7832 subjects, for a mean per-person fracture rate of 3.1 per 100 patient-years at risk. The RR of fracture differed according to cause of SCD and motor impairment. Fracture risk was increased by more than 2-fold in those with some motor impairment (RR=2.33, P<.001), by more than 80% with moderate motor impairment (RR=1.87, P<.001), and almost 70% for those with severe motor impairment (RR=1.67, P<.001), compared with those with little motor impairment. Trauma-related SCI increased the RR of fracture 80% (RR=1.82, P<.001) compared with MS. CONCLUSIONS Persons with SCD have high rates of skeletal fractures. The highest fracture rates occurred in those with some to moderate motor impairment. There were significant differences in risk of fracture according to causal disease, controlling for motor impairment and duration. There appear to be unique contributors to risk of fracture beyond simply disuse.

The hazards of stroke case selection using administrative data.

Background. Administrative data and ICD‐9‐CM diagnostic codes are frequently used in research efforts to evaluate risk adjusted patient outcomes, particularly mortality. Varying ICD‐9‐CM sampling algorithms have been used to identify stroke patients. Objectives. This study evaluates the effects of different sampling strategies (one high sensitivity and one high specificity) on modeling stroke mortality as a performance indicator. Research Design. Risk adjustment models were developed for two stroke cohorts identified using differing ICD‐9‐CM algorithms. Standard mortality ratios were calculated in a validation sample as network performance measures and compared across the two stroke samples. Subjects. VHA inpatients with stroke during years 1997 (model development) and 1998 (model validation) were selected from the Patient Treatment File based on cerebrovascular diagnostic codes. Measures. Patient mortality within 30 days of admission. Results. The model development and validation for each stroke sampling method produced consistent results: c‐statistics 0.74 to 0.75, R2 0.07 to 0.09, concordance 73% to 74%. However, ranking differences in network performance varied by 5 or more positions for 7 of the 22 patient networks. Conclusions. These findings highlight a potential problem when using administrative data to assess stroke mortality. In the absence of an agreed upon definition of stroke patients, results of provider profiling will vary depending on the ICD‐9 algorithm used.