TEAhM-Technologies for Enhancing Access to Health Management: a pilot study of community-based telehealth.

OBJECTIVE: To explore implementation of nurse-mediated telehealth in community-based senior centers. MATERIALS AND METHODS: Two senior centers had telehealth kiosks installed, and two other centers served as control sites. Participants with diagnosed hypertension were instructed to use the equipment at least once per week to measure blood pressure (BP). Nurses monitored BP data for 10 months and made referrals based on primary care physicians' protocols. RESULTS: Participants' mean age was 74.1 years, 75% were women, and mean baseline systolic BPs were 131 and 138 mm Hg in the intervention and control groups, respectively. At baseline, 64% and 85% of participants reported ever having owned a home computer and cell phone, respectively, and 84% reported having used an automated BP device outside of a doctor's office. At 10 months, mean systolic BP was 126 and 132 mm Hg in the intervention and control groups, respectively. Intervention participants used the telehealth station once per week during 69% of all follow-up weeks, and 71% of high readings received nurse follow-up within 24 h. Kiosk use increased steadily during the follow-up period, peaking at 80%, but declined over time to 47% at 10 months. Nearly all intervention group participants reported being "very comfortable" with the technology at study end, 81% reported it was "very easy" to use, and 89% would recommend it to friends. Senior center staff reported that the technology was consistent with their organizational mission and that clients and boards of directors were enthusiastic about it. CONCLUSIONS: This pilot study demonstrates that telehealth was embraced by clients and staff of community-based senior centers. A larger study is needed to determine the clinical impact and cost-effectiveness of using senior centers as a venue for telehealth-based management of hypertension and other common chronic conditions.

Community-based telemonitoring for hypertension management: practical challenges and potential solutions.

Older adults residing in rural areas often lack convenient, patient-centered, community-based approaches to facilitate receipt of routine care to manage common chronic conditions. Without adequate access to appropriate disease management resources, the risk of seniors' experiencing acute events related to these common conditions increases substantially. Further, poorly managed chronic conditions are costly and place seniors at increased risk of institutionalization and permanent loss of independence. Novel, telehealth-based approaches to management of common chronic conditions like hypertension may not only improve the health of older adults, but may also lead to substantial cost savings associated with acute care episodes and institutionalization. The aim of this report is to summarize practical considerations related to operations and logistics of a unique community-based telemonitoring pilot study targeting rural seniors who utilize community-based senior centers. This article reviews the technological challenges encountered during the study and proposes solutions relevant to future research and implementation of telehealth in community-based, congregate settings.

Building on a national health information technology strategic plan for long-term and post-acute care: comments by the Long Term Post Acute Care Health Information Technology Collaborative.

The LTPAC (Long Term Post Acute Care) Health Information Technology (HIT) Collaborative consists of an alliance of long-term services and post-acute care stakeholders. Members of the collaborative are actively promoting HIT innovations in long-term care settings because IT adoption for health care institutions in the United States has become a high priority. One method used to actively promote HIT is providing expert comments on important documents addressing HIT adoption. Recently, the Office of the National Coordinator for HIT released a draft of the Federal Health Information Technology Strategic Plan 2011-2015 for public comment. The following brief is intended to inform about recommendations and comments made by the Collaborative on the strategic plan.

Impact of blood pressure telemonitoring on hypertension outcomes: a literature review.

We searched five databases (PubMed, CINAHL, PsycINFO, EMBASE, and ProQuest) from 1995 to September 2009 to collect evidence on the impact of blood pressure (BP) telemonitoring on BP control and other outcomes in telemonitoring studies targeting patients with hypertension as a primary diagnosis. Fifteen articles met our review criteria. We found that BP telemonitoring resulted in reduction of BP in all but two studies; systolic BP declined by 3.9 to 13.0 mm Hg and diastolic BP declined by 2.0 to 8.0 mm Hg across these studies. These magnitudes of effect are comparable to those observed in efficacy trials of some antihypertensive drugs. Although BP control was the primary outcome of these studies, some included secondary outcomes such as healthcare utilization and cost. Evidence of the benefits of BP telemonitoring on these secondary outcomes is less robust. Compliance with BP telemonitoring among patients was favorable, but compliance among participating healthcare providers was not well documented. The potential role of BP telemonitoring in the reduction of BP is discussed and suggestions on priority populations that can benefit from this technology are presented.

Use of health information technology in home health and hospice agencies: United States, 2007.

OBJECTIVE: This report provides updated estimates on use of electronic medical records (EMRs) in US home health and hospice (HHH) agencies, describes utilization of EMR functionalities, and presents novel data on telemedicine and point of care documentation (PoCD) in this setting. DESIGN: Nationally representative, cross-sectional survey of US HHH agencies conducted in 2007. MEASUREMENTS: Data on agency characteristics, current use of EMR systems as well as use of telemedicine and PoCD were collected. RESULTS: In 2007, 43% of US HHH agencies reported use of an EMR system. Patient demographics (40%) and clinical notes (34%) were the most commonly used EMR functions among US HHH agencies. Only 20% of agencies with EMR systems had health information sharing functionality and about half of them used it. Telemedicine was used by 21% of all HHH agencies, with most (87%) of these offering home health services. Among home health agencies using telemedicine, greater than 90% used telephone monitoring and about two-thirds used non-video monitoring. Nearly 29% of HHH agencies reported using electronic PoCD systems, most often for Outcome and Assessment Information Set (OASIS) data capture (79%). Relative to for-profit HHH agencies, non-profit agencies used considerably more EMR (70% vs 28%, p<0.001) and PoCD (63% vs 9%, p<0.001). CONCLUSIONS: Between 2000 and 2007, there was a 33% increase in use of EMR among HHH agencies in the US. In 2007, use of EMR and PoCD technologies in non-profit agencies was significantly higher than for-profit ones. Finally, HHH agencies generally tended to use available EMR functionalities, including health information sharing.

Passive in-home health and wellness monitoring: overview, value and examples.

Modern sensor and communication technology, coupled with advances in data analysis and artificial intelligence techniques, is causing a paradigm shift in remote management and monitoring of chronic disease. In-home monitoring technology brings the added benefit of measuring individualized health status and reporting it to the care provider and caregivers alike, allowing timely and targeted preventive interventions, even in home and community based settings. This paper presents a paradigm for geriatric care based on monitoring older adults passively in their own living settings through placing sensors in their living environments or the objects they use. Activity and physiological data can be analyzed, archived and mined to detect indicators of early disease onset or changes in health conditions at various levels. Examples of monitoring systems are discussed and results from field evaluation pilot studies are summarized. The approach has shown great promise for a significant value proposition to all the stakeholders involved in caring for older adults. The paradigm would allow care providers to extend their services into the communities they serve.

Sleep assessment using a passive ballistocardiography-based system: preliminary validation.

Quantitative sleep analysis through the use of polysomnography is a well established standard. Finding new ways to approach this, especially over multiple nights, is becoming more important due to a growing recognition of adverse effects from poor sleep and sleep disorders. The Non-Invasive Analysis of Physiological Signals (NAPS) system is a ballistocardiography-based monitoring system developed to measure heart rate, breathing rate and musculoskeletal movement that shows promise as a general sleep analysis tool. Overnight sleep studies were conducted on 20 healthy subjects during a validation clinical trial which compared the NAPS system to actigraphy, using polysomnography as the gold standard. The NAPS system [kappa=0.478; 95% CI (0.463, 0.494); p-value<0.001] outperformed actigraphy [kappa=0.344; 95% CI (0.324, 0.358); p-value<0.001], largely due to better performance in distinguishing sleep onset times as determined by polysomnography [NAPS mean bias estimate: -2.5 epochs; 95% CI (-16.8, 11.9); p=0.725|Actigraphy mean bias estimate: -33.6 epochs; 95% CI (-57.4, -9.7); p=0.016)].

Development and preliminary validation of heart rate and breathing rate detection using a passive, ballistocardiography-based sleep monitoring system.

Techniques such as ballistocardiography (BCG) that can provide noninvasive long-term physiological monitoring have gained interest due to a growing recognition of adverse effects from poor sleep and sleep disorders. The noninvasive analysis of physiological signals (NAPS) system is a BCG-based monitoring system developed to measure heart rate, breathing rate, and musculoskeletal movement that shows promise as a general sleep analysis tool. Overnight sleep studies were conducted on 40 healthy subjects during a clinical trial at the University of Virginia. The NAPS system's measures of heart rate and breathing rate were compared to ECG, pulse oximetry, and respiratory inductance plethysmography (RIP). The subjects were split into a training dataset and a validation dataset, maintaining similar demographics in each set. The NAPS system accurately detected heart rate, averaged over the prescribed 30-s epochs, to within less than 2.72 beats per minute of ECG, and accurately detected breathing rate, averaged over the same epochs, to within 2.10 breaths per minute of RIP bands used in polysomnography.

Use of electronic information systems in nursing homes: United States, 2004.

OBJECTIVES: This study sought to define the extent of utilization of 12 types of electronic information system (EIS) function in U.S. nursing homes (NH), to relate EIS utilization to selected facility characteristics and to contrast these findings to previous estimates of EIS use in NH. DESIGN: This study used data from the National Nursing Home Survey (NNHS), a nationally representative, cross-sectional sample of U.S. NH. MEASUREMENTS: Data on current use of EIS in 12 functional areas, including administrative and resident care activities, were collected. Information was also collected on facility characteristics including ownership, bed size, and whether the facility was a member of a chain. RESULTS: Essentially all (99.6%) U.S. NH had >or=1 EIS, a figure that was driven by the nearly universal use of EIS for Minimum Data Set (MDS) reporting (96.4%) and for billing (95.4%). Nearly 43% of U.S. NH had EIS for medical records, including nurse's notes, physician notes, and MDS forms. EIS use ranged from a high of 79.6% for admission, transfer, and discharge to a low of 17.6% for daily care by certified nursing assistants (CNAs). Ownership, membership in a chain, and bed size were associated with use of selected EIS. Larger facilities and those that were part of a chain used more EIS than smaller standalone facilities. CONCLUSION: In 2004, NH use of EIS for functions other than MDS and billing was highly variable, but considerably higher than previous estimates.

Behavioral patterns of older-adults in assisted living.

In this paper, we examine at-home activity rhythms and present a dozen of behavioral patterns obtained from an activity monitoring pilot study of 22 residents in an assisted living setting with four case studies. Established behavioral patterns have been captured using custom software based on a statistical predictive algorithm that models circadian activity rhythms (CARs) and their deviations. The CAR was statistically estimated based on the average amount of time a resident spent in each room within their assisted living apartment, and also on the activity level given by the average number of motion events per room. A validated in-home monitoring system (IMS) recorded the monitored resident's movement data and established the occupancy period and activity level for each room. Using these data, residents' circadian behaviors were extracted, deviations indicating anomalies were detected, and the latter were correlated to activity reports generated by the IMS as well as notes of the facility's professional caregivers on the monitored residents. The system could be used to detect deviations in activity patterns and to warn caregivers of such deviations, which could reflect changes in health status, thus providing caregivers with the opportunity to apply standard of care diagnostics and to intervene in a timely manner.

Impact of passive health status monitoring to care providers and payers in assisted living.

The objective of this study was to assess the impact of passive health status monitoring on the cost of care, as well as the efficiencies of professional caregivers in assisted living. We performed a case-controlled study to assess economic impact of passive health status monitoring technology in an assisted-living facility. Passive monitoring systems were installed in the assisted-living units of 21 residents to track physiological parameters (heart rate and breathing rate), the activities of daily living (ADLs), and key alert conditions. Professional caregivers were provided with access to the wellness status of the monitored residents they serve. The monitored individuals' cost of medical care was compared to that of an age, gender, and health status matched cohort. Similarly, efficiency and workloads of professional caregivers providing care to the monitored individuals were compared to those of caregivers providing care to the control cohort in the control site. Over the 3-month period of the study, a comparison between the monitored and control cohorts showed reductions in billable interventions (47 vs. 73, p = 0.040), hospital days (7 vs. 33, p = 0.004), and estimated cost of care (21,187.02 dollars vs. 67,753.88 dollars with monitoring cost included, p = 0.034). A comparison between efficiency normalized workloads of monitoring and control sites' caregivers revealed significant differences both at the beginning (0.6 vs. 1.38, p = 0.041) and the end (0.84 vs. 1.94, p = 0.002) of the study. The results demonstrate that monitoring technologies have significantly reduced billable interventions, hospital days, and cost of care to payers, and had a positive impact on professional caregivers' efficiency.

In-home monitoring of persons with dementia: ethical guidelines for technology research and development.

Innovative technologies are rapidly emerging that offer caregivers the support and means to assist older adults with cognitive impairment to continue living "at home." Technology research and development efforts applied to older adults with dementia invoke special grant review and institutional review board concerns, to ensure not only safe but also ethically appropriate interventions. Evidence is emerging, however, that tensions are growing between innovators and reviewers. Reviewers with antitechnology biases are in a position to stifle needed innovation. Technology developers who fail to understand the clinical and caregiving aspects of dementia may design applications that are not in alignment with users' capabilities. To bridge this divide, we offer an analysis of the ethical issues surrounding home monitoring, a model framework, and ethical guidelines for technology research and development for persons with Alzheimer's disease and their caregivers.

Basic walker-assisted gait characteristics derived from forces and moments exerted on the walker's handles: results on normal subjects.

This paper describes a method that passively assesses basic walker-assisted gait characteristics using only force-moment measurements from the walker's handles. The passively derived gait characteristics of 22 subjects were validated against motion capture gait analysis. The force-moment based heel initial contact detection algorithm have produced a high level of concordance with heel initial contacts detected by a human inspecting the heel marker data sets of the Vicon video capture system. The algorithm has demonstrated 97% sensitivity and 98% specificity with a narrow 95% confidence interval of +/-1% during all experiments, which included five navigational scenarios. Temporal error in detecting the instances of heel initial contacts were within 5.27+/-3.66% of the overall stride time obtained from Vicon when the subjects walked in a straight line, whereas the toe-off instance estimates were within 5.18+/-2.75% of the gait cycle. The errors in determining the duration of stride time, single support, and double support were within 5.86+/-2.49%, 5.24+/-2.29%, and 4.34+/-2.13% of the gait cycle respectively. The stride time estimated, using the method presented here, correlated well with stride time computations based on visual inspection of Vicon's data, Pearson correlation coefficient r=0.86 for straight line segments. However, absolute errors were too high to estimate the single and double support phases with acceptable accuracy. The potential application of the instrumented walker and the method presented here is longitudinal basic gait assessment that can be performed outside of the conventional gait labs.

Impact of monitoring technology in assisted living: outcome pilot.

This paper describes a study designed to assess the acceptance and some psychosocial impacts of monitoring technology in assisted living. Monitoring systems were installed in 22 assisted living units to track the activities of daily living (ADLs) and key alert conditions of residents (15 of whom were nonmemory care residents). Activity reports and alert notifications were sent to professional caregivers who provided care to residents participating in the study. Diagnostic use of the monitoring data was assessed. Nonmemory care residents were surveyed and assessed using the Satisfaction With Life Scale (SWLS) instrument. Pre- and post-installation SWLS scores were compared. Older adult participants accepted monitoring. The results suggest that monitoring technologies could provide care coordination tools that are accepted by residents and may have a positive impact on their quality of life.

Improving the detection of stage I pressure ulcers by enhancing digital color images.

It has been observed in previous studies that the detection of stage I pressure ulcers becomes more difficult by unaided visual inspection and/or by using currently available techniques with darker skin subjects, due to increased melanin content. This difficulty is indicated by the elevated proportion of black and hispanic patients developing more serious stage III and IV pressure ulcers compared to white patients. The ultimate goal of this project, undertaken by MARC at the University of Virginia, is to develop a low-cost, non-contact imaging-based stage I pressure ulcer detection system for use by support staff in assisted living and skilled nursing facilities to increase the ulcer detection rate over a wide range of skin colors. This paper describes an image enhancement procedure that improves the detection of pressure ulcers when applied to the color images of ulcer sites. Preliminary results clearly indicate that the enhanced images exhibit higher contrast and make the pressure ulcer site more conspicuous to the examiner. The experiments show promising results even for subjects with black and dark brown skin colors.

Technology for successful aging.

Americans are living longer, and research shows that seniors are embracing independence, and will benefit from living in the same place. These are the rationale for 'Aging in Place' and the development of Tiger Place, an 'Aging in Place' Environment in Columbia Missouri. Our goal is to minimize intrusion, allow the resident complete control over privacy and treatment (if any), and to provide substantive improvement in quality of life. Nevertheless there continues to be significant risks to the elderly which results in reduced functional and cognitive activity. While there has been much technology developed to ameliorate these factors, there is no comprehensive evaluation of the benefit of these devices nor a comprehensive strategy to improve the quality of life of seniors as determined by functional ability and possibly later cognitive ability. With our partners at the University of Virginia we are developing a system of sensors, to monitor the activity of seniors in their residences. We measure motion, footfalls, sleep and restlessness, we have stove sensors and sensing mats, all connected wirelessly to a computer which performs an initial evaluation and data transfer to a secure server for further study. Based upon the monitor data we will implement an intervention to ameliorate functional decline. Focus group studies determine the attitudes, concerns and impressions of the residents and staff. We find that senior's attitude to technology is healthy and they will try helpful approaches. In addition to the statistical comparisons, we model the data using hidden Markov models, integrate or fuse the monitor data with video images, and reason about behavior using fuzzy logic. The results of this work will additionally reduce the workload on caregivers, foster communication between residents and family, and give these seniors independence. We have requested and received IRB approval for this study.

A non-contact imaging-based approach to detecting stage I pressure ulcers.

This paper describes a non-contact imaging-based method to detect stage I pressure ulcers over a wide range of melanin levels. Two approaches were explored: the first used broad and narrow band visible spectrum imaging, and the second used near infrared (NIR) imaging. Preliminary results are presented together with results of numerical analysis of different erythema indices derived from the visible spectrum images. The results have shown that a low-cost imaging-based approach to detecting pressure ulcers is feasible and can yield promising results when applied to subjects with darker skin pigmentation.

Validation of rule-based inference of selected independent activities of daily living.

This paper explores the validity of a rule-based inference method of selected independent activities of daily living (ADLs). An inexpensive ADL monitoring system was installed in the community for 37 days to monitor a middle-aged, healthy individual living alone. The subject was given a personal digital assistant (PDA), running custom activity diary software, and asked to record activities in real-time. Rule-based activity inference algorithms were refined on data from 17 days, and data from the remaining 20 days were used for validation. The chisquare statistic was computed for 2 x 2 contingency tables comparing activities detected by the algorithms to user-logged activities. The phi (r()) and Cohen's kappa (kappa) coefficients were computed as measures of correlation. After correcting for subject noncompliance in logging activities, the kappa correlation between the meal detection algorithm and the PDA record was 0.84, with 91% sensitivity, and 100% specificity. Similarly, the kappa correlation between the shower detection algorithm and the PDA record is 0.69, with 67% sensitivity and 100% specificity. The detection algorithms and the sensory data did not miss any main meals or showering activities recorded on the PDA. The results suggest that rule-based algorithms can successfully detect meal preparation and showering activities using simple low-cost detectors. The sensors and detection algorithms reported events not recorded by the occupant on the PDA attributed to reporting noncompliance. Overall, the PDA activity journal was a compromise between paper diaries, which are more time consuming to keep, and may result in higher noncompliance errors, and video recording, which is considered intrusive.