Strategies to Maximize Data Collection Response Rates in a Randomized Control Trial Focused on Children with Medical Complexity

INTRODUCTION

Obtaining complete and timely subject data is key to the success of clinical trials, particularly for studies requiring data collected from subjects at home or other remote sites. A multifaceted strategy for data collection in a randomized controlled trial (RCT) focused on care coordination for children with medical complexity is described. The influences of data collection mode, incentives, and study group membership on subject response patterns are analyzed. Data collection included monthly healthcare service utilization (HCSU) calendars and annual surveys focused on care coordination outcomes.

MATERIALS AND METHODS

One hundred sixty-three families were enrolled in the 30-month TeleFamilies RCT. Subjects were 2-15 years of age at enrollment. HCSU data were collected by parent/guardian self-report using mail, e-mail, telephone, or texting. Surveys were collected by mail. Incentives were provided for completed surveys after 8 months to improve collection returns. Outcome measures were the number of HCSU calendars and surveys returned, the return interval, data collection mode, and incentive impact.

RESULTS

Return rates of 90% for HCSU calendars and 82% for annual surveys were achieved. Mean return intervals were 72 and 65 days for HCSU and surveys, respectively. Survey response increased from 55% to 95% after introduction of a gift card and added research staff.

CONCLUSIONS

High return rates for HCSU calendars and health-related surveys are attainable but required a flexible and personnel-intensive approach to collection methods. Family preference for data collection approach should be obtained at enrollment, should be modified as needed, and requires flexible options, training, intensive staff/family interaction, and patience.

An Evaluation of Commercial Pedometers for Monitoring Slow Walking Speed Populations

BACKGROUND

Pedometers are considered desirable devices for monitoring physical activity. Two population groups of interest include patients having undergone surgery in the lower extremities or who are otherwise weakened through disease, medical treatment, or surgery procedures, as well as the slow walking senior population. For these population groups, pedometers must be able to perform reliably and accurately at slow walking speeds. The objectives of this study were to evaluate the step count accuracy of three commercially available pedometers, the Yamax (Tokyo, Japan) Digi-Walker(®) SW-200 (YM), the Omron (Kyoto, Japan) HJ-720 (OM), and the Fitbit (San Francisco, CA) Zip (FB), at slow walking speeds, specifically at 1, 2, and 3 km/h, and to raise awareness of the necessity of focusing research on step-counting devices and algorithms for slow walking populations.

MATERIALS AND METHODS

Fourteen participants 29.93 ±4.93 years of age were requested to walk on a treadmill at the three specified speeds, in four trials of 100 steps each. The devices were worn by the participants on the waist belt. The pedometer counts were recorded, and the error percentage was calculated.

RESULTS

The error rate of all three evaluated pedometers decreased with the increase of speed: at 1 km/h the error rates varied from 87.11% (YM) to 95.98% (FB), at 2 km/h the error rates varied from 17.27% (FB) to 46.46% (YM), and at 3 km/h the error rates varied from 22.46% (YM) to a slight overcount of 0.70% (FB).

CONCLUSIONS

It was observed that all the evaluated devices have high error rates at 1 km/h and mixed error rates at 2 km/h, and at 3 km/h the error rates are the smallest of the three assessed speeds, with the OM and the FB having a slight overcount. These results show that research on pedometers' software and hardware should focus more on accurate step detection at slow walking speeds.

Use of a SmartPhone/Tablet-Based Bidirectional Telemedicine Disease Management Program Facilitates Early Detection and Treatment of COPD Exacerbation Symptoms

INTRODUCTION

Early treatment of worsening chronic obstructive pulmonary disease (COPD) symptoms speeds recovery, improves quality of life, and reduces the need for hospitalization. Patients may fail to recognize worsening symptoms leading to delays in treatment. A telemedicine application could facilitate detection and treatment of worsening symptoms. To work, such an application requires consistent use by patients and quick responses from healthcare providers. We conducted a quality assurance assessment of our system to see if we were meeting these goals.

MATERIALS AND METHODS

Thirty patients were provided a smartphone application for daily COPD symptom reporting. Reports between November 2012 and September 2013 were reviewed. Symptoms reports and interventions were time-stamped by the application. Adherence reporting was calculated as the number of reports made divided by the number of days enrolled in the program for each patient. Time to intervention was calculated as the time a report was submitted to the time a treatment recommendation was sent to the patient.

RESULTS

There were 4,434 symptom reports made over 5,178 patient-days of observation for an average reporting compliance of 85.6%. Median reporting compliance was 90.7% (interquartile range, 83.8-98%). Four hundred seventy-five symptom reports resulted in an alert. The average response time for all alerts was 6.64 h, with a median response time of 5.75 h.

CONCLUSIONS

From this quality assessment we were able to conclude that patient adherence to the reporting system exceeded 90% for over half of the participants. Furthermore, over 50% of worsening COPD symptom reports were responded to in less than 6 h with patient-specific treatment recommendations.

The Online Big Blue Test for Promoting Exercise: Health, Self-Efficacy, and Social Support

BACKGROUND

Recent articles have documented the influence of self-efficacy and social support on exercising. Simultaneously, insulin use is also related to the perception of self-efficacy and social support in patients with diabetes. We combine these two ideas through the Big Blue Test experience in a social networking site and propose to analyze whether a change in blood sugar levels after completion of the Big Blue Test and insulin use are related to the perception of self-efficacy and social support in patients with diabetes.

MATERIALS AND METHODS

To undergo the Big Blue Test, 3,926 participants voluntarily joined the Diabetes Hands Foundation. Responses were analyzed using descriptive analysis.

RESULTS

The participants who reduced their blood glucose after exercise the least were those with lower self-efficacy and also with lower perceived social support. There seems to have been no relationship between changes in blood sugar level and the explicit intention of doing exercise in the future. Insulin-dependent participants demonstrated a lower perception of self-efficacy and social support than non-insulin-dependent participants.

CONCLUSIONS

Change in blood glucose level or being insulin-dependent or not do not explain completely a health behavior such as exercise. Hence, self-efficacy and social support have an impact on behavioral change such as exercise to become a habit in people with diabetes, and this experience through a social networking site is an important tool for this behavioral change. For exercise to become a habit in people with diabetes, it is necessary to consider not only the crucial physiological variables, but also those psychological variables that clearly have an impact on behavioral change.

Implementation of a wireless sensor network for heart rate monitoring in a senior center

OBJECTIVE

Wearable sensor systems are widely used to monitor vital sign in hospitals and in recent years have also been used at home. In this article we present a system that includes a ring probe, sensor, radio, and receiver, designed for use as a long-term heart rate monitoring system in a senior center. The primary contribution of this article is successfully implementing a cheap, large-scale wireless heart rate monitoring system that is stable and comfortable to use 24 h a day.

MATERIALS AND METHODS

We developed new finger ring sensors for comfortable continuous wearing experience and used dynamic power adjustment on the ring so the sensor can detect pulses at different strength levels.

RESULTS

Our system has been deployed in a senior center since May 2012, and 63 seniors have used this system in this period. During the 54-h system observation period, 10 alarms were set off. Eight of them were due to abnormal heart rate, and two of them were due to loose probes. The monitoring system runs stably with the senior center's existing WiFi network, and achieves 99.48% system availability. The managers and caregivers use our system as a reliable warning system for clinical deterioration.

CONCLUSIONS

The results of the year-long deployment show that the wireless group heart rate monitoring system developed in this work is viable for use within a designated area.

Telemonitoring Blood Pressure by Secure Message on a Patient Portal: Use, Content, and Outcomes

INTRODUCTION

Secure messages on a patient portal allow patients to asynchronously communicate with their healthcare teams. Patients can use this mode of communication to transmit data such as home blood pressure (BP) measurements.

MATERIALS AND METHODS

In this retrospective study, we examined 52,373 secure messages for content related to home BP monitoring. Text searches of the messages were followed by manual message review to identify BP-related messages. Two physicians independently reviewed a sample of these messages and the provider responses.

RESULTS

Of 19,545 total message users, there were 4,412 message users with a diagnosis of hypertension and 365 who sent BP-related messages. Of the 52,373 secure messages, 624 messages (1.2%) contained information about home BP. Providers responded to messages with a change in medication dose or a prescription in 17%. When new medications were recommended, providers needed more pharmacy information in 53%. Messages contained a concern about high BP in 27% and concern about low BP in 8.5%. BP data in patient messages only attained American Heart Association-endorsed measurement criteria in 7% of messages.

CONCLUSIONS

Patient-generated secure messages with BP data often result in message responses from providers for a BP medication dose change or a new prescription. Despite its increasing use, BP management by secure message has significant limitations and might be better served by BP virtual visits (e-visits) containing specific data requirements such as an average BP value from at least 12 readings and a preferred pharmacy for a prescription.

Telehealth program for type 2 diabetes: usability, satisfaction, and clinical usefulness in an urban community health center

BACKGROUND

We examined the usability, satisfaction, and clinical impact of a 3-month diabetes telehealth intervention for poorly controlled type 2 diabetes (T2D) patients. The urban community health center sample (n=30) was 56.7% female, mean age of 60.6 years, 56.7% high school education or higher, and 73% African American and 26% Latino.

MATERIALS AND METHODS

We integrated an electronic pillbox into an existing diabetes remote home monitoring (RHM) device suite comprising a Bluetooth(®) (Bluetooth SIG, Kirkland, WA)-enabled blood glucose meter and an automatic blood pressure monitor connected to a cellular hub for data upload to our clinical application. This telehealth program involved minimal clinician training and functioned as a nonurgent patient self-management support service to increase the scope of clinic services. Telehealth nurse interventionists received regular RHM data alerts and called patients by phone at scheduled intervals. A graphical report summarizing patient RHM data was sent to providers to inform clinical decision making during a scheduled clinic visit at the 3-month follow-up.

RESULTS

The results showed consistently high levels of RHM device use during the intervention period, high ratings of usability and program satisfaction from patients, and high ratings of provider satisfaction with the program. There was a clinically and statistically significant improvement in blood glucose control at 3 months, such that hemoglobin A1c improved 0.6% from a baseline level of 8.3% (p<0.05).

CONCLUSIONS

These findings provide encouraging empirical support for the usability and clinical value of a diabetes telehealth program integrating a user-friendly cellular pillbox and clinical decision support tools that was delivered to an urban poor T2D clinic population.

Home-based telehealth hospitalization for exacerbation of chronic obstructive pulmonary disease: findings from "the virtual hospital" trial

BACKGROUND

Telehealth interventions for patients with chronic obstructive pulmonary disease (COPD) have focused primarily on stable outpatients. Telehealth designed to handle the acute exacerbation that normally requires hospitalization could also be of interest. The aim of this study was to compare the effect of home-based telehealth hospitalization with conventional hospitalization for exacerbation in severe COPD.

MATERIALS AND METHODS

A two-center, noninferiority, randomized, controlled effectiveness trial was conducted between June 2010 and December 2011. Patients with severe COPD admitted because of exacerbation were randomized 1:1 either to home-based telehealth hospitalization or to continue standard treatment and care at the hospital. The primary outcome was treatment failure defined as re-admission due to exacerbation in COPD within 30 days after initial discharge. The noninferiority margin was set at 20% of the control group's risk of re-admission. Secondary outcomes were mortality, need for manual or mechanical ventilation or noninvasive ventilation, length of hospitalization, physiological parameters, health-related quality of life, user satisfaction, healthcare costs, and adverse events.

RESULTS

In total, 57 patients were randomized: 29 participants in the telehealth group and 28 participants in the control group. Testing the incidence of re-admission within 30 days after discharge could not confirm noninferiority (lower 95% confidence limit [CL], -24.8%; p=0.35). Results were also nonsignificant at 90 days (lower 95% CL, -16.2%; p=0.33) and 180 days (lower 95% CL, -16.6%; p =0.33) after discharge. Superiority testing on secondary outcomes showed nonsignificant differences between groups. Healthcare costs have not yet been evaluated.

CONCLUSIONS

Whether home-based telehealth hospitalization is noninferior to conventional hospitalization requires further investigation. The results indicate that a subgroup of patients with severe COPD can be treated for acute exacerbation at home using telehealth, without the physical presence of health professionals and with a proper organizational "back-up."

Recommendations service for chronic disease patient in multimodel sensors home environment

With advanced technologies in hand, there exist potential applications and services built around monitoring activities of daily living (ADL) of elderly people at nursing homes. Most of the elderly people in these facilities are suffering from different chronic diseases such as dementia. Existing technologies are mainly focusing on non-medication interventions and monitoring of ADL for addressing loss of autonomy or well-being. Monitoring and managing ADL related to cognitive behaviors for non-medication intervention are very effective in improving dementia patients' conditions. However, cognitive functions of patients can be improved if appropriate recommendations of medications are delivered at a particular time. Previously we developed the Secured Wireless Sensor Network Integrated Cloud Computing for Ubiquitous-Life Care (SC(3)). SC(3) services were limited to monitoring ADL of elderly people with Alzheimer's disease and providing non-medication recommendations to the patient. In this article, we propose a system called the Smart Clinical Decision Support System (CDSS) as an integral part of the SC(3) platform. Using the Smart CDSS, patients are provided with access to medication recommendations of expert physicians. Physicians are provided with an interface to create clinical knowledge for medication recommendations and to observe the patient's condition. The clinical knowledge created by physicians as the knowledge base of the Smart CDSS produces recommendations to the caregiver for medications based on each patient's symptoms.

Is the digital divide an obstacle to e-health? An analysis of the situation in Europe and in Italy

INTRODUCTION

The digital divide affecting elderly patients may compromise the diffusion of telemedicine systems for this age segment. It might be that the difficulties in the passage from trials to the effective distribution of telemedicine systems are also due to the awareness of a personal digital divide in the target population.

MATERIALS AND METHODS

The analysis aims to estimate the number of people over the age of 50 years with potential cardiovascular problems able to access the Web. It made use of data from several sources (the Survey of Health, Ageing and Retirement in Europe and the Istituto Nazionale di Statistica Multiscopo Survey). Furthermore, with regard to Italy, the estimates obtained from official data were compared with those obtained in a survey investigating heart failure patients in Tuscany.

RESULTS

In 2011, the percentage of people suffering from cardiovascular diseases and with Web access was 24% in Europe, with significant differences by country (ranging from 53% in Switzerland to below 20% in Italy, Spain, and Portugal). In Italy, however, the proportion of people with Web access increased from 2007 to 2011, and the survey in Tuscany showed that elderly people with limited information and communications technology skills overcame challenges and learned how to connect to the Web because they started to appreciate new technologies.

CONCLUSIONS

The opportunity to use the Internet to monitor patients with chronic disease can serve as a challenge to reduce the digital divide gap and, furthermore, to increase their social and technological inclusion.

Challenges in implementing a pediatric cardiovascular home telehealth project

OBJECTIVE

Infants with "single ventricle" congenital heart disease are at high risk for sudden death following palliative surgical management. We developed a pilot telemedicine project to evaluate the feasibility of using Web-based daily reporting of clinical data with the goal of reducing unexpected admissions and sudden death.

SUBJECTS AND METHODS

We enrolled 9 subjects (enrolled subjects [ES]) following surgical palliation over 12 months. Parents electronically transmitted ES daily weight and oxygen saturation and then completed an automated 10-point phone questionnaire on nutrition, activity, and distress. Subject enrollment continued until a second surgical palliative procedure (n=5), sudden death (n=2), or disenrollment (n=2). We collected clinical data on all ES and 9 historical controls (HC) from the preceding 18 months and analyzed clinical management, including outpatient telephone surveillance success, scheduled and unscheduled office and emergency department visits, hospitalizations, procedures, and adverse events, including death.

RESULTS

Subject recruitment was more difficult than expected. Weight transmission success was high, but there was poor correlation between telemedicine system-measured oxygen saturation and a commercial monitor. The outpatient clinical telephone surveillance success rate for HC and ES was approximately 30%. After technical adjustments, parents of all ES (100%) were able to transmit questionnaire data. There were 9 emergency room visits for ES versus 11 unscheduled emergency room visits for HC. Sudden death occurred in 1 of 9 HC and 2 of 9 ES.

CONCLUSIONS

Telemedicine monitoring for high-risk congenital heart disease patients is feasible but challenging, may reduce unscheduled visits, but may not impact the primary end point of preventing sudden death in this high-risk pediatric population.

Enhancing patient engagement and blood pressure management for renal transplant recipients via home electronic monitoring and web-enabled collaborative care

BACKGROUND

Effective management of hypertension in chronic kidney disease and renal transplantation is a clinical priority and has societal implications in terms of preserving and optimizing the value of scarce organs. However, hypertension is optimally managed in only 37% of people with chronic kidney disease, and poor control can contribute to premature graft loss in renal transplant recipients. This article describes a telehealth system that incorporates home electronic blood pressure (BP) monitoring and uploading to a patient portal coupled with a Web-based dashboard that enables clinical pharmacist collaborative care in a renal transplant clinic.

MATERIALS AND METHODS

The telehealth system was developed and implemented as a quality improvement initiative in a renal transplant clinic in a large, 700-bed, urban hospital with the aim of improving BP in posttransplant patients. A convenience sample of 66 posttransplant patients was recruited by the clinical pharmacist from consecutive referrals to the Transplant Clinic.

RESULTS

Preliminary results show statistically significant reductions in average systolic and diastolic BP of 6.0 mm Hg and 3.0 mm Hg, respectively, at 30 days after enrollment. Two case reports describe the instrumental role of home BP monitoring in the context of medication therapy management.

CONCLUSIONS

Optimizing BP control for both pre- and post-renal transplant patients is likely to benefit society in terms of preserving scarce resources and reducing healthcare costs due to premature graft failure. Connected health systems hold great promise for supporting team-based care and improved health outcomes.

Program evaluation of remote heart failure monitoring: healthcare utilization analysis in a rural regional medical center

BACKGROUND

Remote monitoring for heart failure (HF) has had mixed and heterogeneous effects across studies, necessitating further evaluation of remote monitoring systems within specific healthcare systems and their patient populations. "Care Beyond Walls and Wires," a wireless remote monitoring program to facilitate patient and care team co-management of HF patients, served by a rural regional medical center, provided the opportunity to evaluate the effects of this program on healthcare utilization.

MATERIALS AND METHODS

Fifty HF patients admitted to Flagstaff Medical Center (Flagstaff, AZ) participated in the project. Many of these patients lived in underserved and rural communities, including Native American reservations. Enrolled patients received mobile, broadband-enabled remote monitoring devices. A matched cohort was identified for comparison.

RESULTS

HF patients enrolled in this program showed substantial and statistically significant reductions in healthcare utilization during the 6 months following enrollment, and these reductions were significantly greater compared with those who declined to participate but not when compared with a matched cohort.

CONCLUSIONS

The findings from this project indicate that a remote HF monitoring program can be successfully implemented in a rural, underserved area. Reductions in healthcare utilization were observed among program participants, but reductions were also observed among a matched cohort, illustrating the need for rigorous assessment of the effects of HF remote monitoring programs in healthcare systems.

Development of a telehealthcare decision support system for patients discharged from the hospital

OBJECTIVE

This article presents the development of a telehealthcare decision support system (TDSS) for patients discharged from the hospital, where symptom data are important indications of the recovery progress for patients. Symptom data are difficult to quantify in a telehealthcare application scenario because the observations and perceptions on symptoms by the patient themselves are subjective. In the TDSS, both symptom data from patients and clinical histories from the hospital information system are collected. Machine learning algorithms are used to build a predictive model for classifying patients according to their symptom data and clinical histories, to provide a degree of urgency for the patient to return to the hospital.

MATERIALS AND METHODS

During a 1-year period, 1,467 patient cases were collected. Symptom data and clinical histories were preprocessed into 49 parameters for machine learning. The training data of patients were validated manually with their actual clinical histories of returning to the hospital. The performances of predictive models trained by five different machine learning algorithms were evaluated and compared.

RESULTS

The Bayesian network algorithm had the best performance among the machine learning algorithms tested in this application scenario and was selected to be implemented in the TDSS. On the 1,467 patient cases collected, its precision in 10-fold cross-validation was 79.3%. The most important six parameters were also selected from the 49 parameters by feature selection. The performance of correct prediction by the TDSS is comparable to that by the nursing team at the call center.

CONCLUSIONS

The TDSS provides a degree of urgency for patients to return to the hospital and thereby assists the telehealthcare nursing team in making such decisions. The performance of the TDSS is expected to improve as more cases of patient data are collected and input into the TDSS. The TDSS has been implemented in one of the largest commercialized telehealthcare practices in Taiwan administered by Min-Sheng General Hospital.

Task-technology fit of video telehealth for nurses in an outpatient clinic setting

BACKGROUND

Incorporating telehealth into outpatient care delivery supports management of consumer health between clinic visits. Task-technology fit is a framework for understanding how technology helps and/or hinders a person during work processes. Evaluating the task-technology fit of video telehealth for personnel working in a pediatric outpatient clinic and providing care between clinic visits ensures the information provided matches the information needed to support work processes.

MATERIALS AND METHODS

The workflow of advanced practice registered nurse (APRN) care coordination provided via telephone and video telehealth was described and measured using a mixed-methods workflow analysis protocol that incorporated cognitive ethnography and time-motion study. Qualitative and quantitative results were merged and analyzed within the task-technology fit framework to determine the workflow fit of video telehealth for APRN care coordination.

RESULTS

Incorporating video telehealth into APRN care coordination workflow provided visual information unavailable during telephone interactions. Despite additional tasks and interactions needed to obtain the visual information, APRN workflow efficiency, as measured by time, was not significantly changed. Analyzed within the task-technology fit framework, the increased visual information afforded by video telehealth supported the assessment and diagnostic information needs of the APRN.

CONCLUSIONS

Telehealth must provide the right information to the right clinician at the right time. Evaluating task-technology fit using a mixed-methods protocol ensured rigorous analysis of fit within work processes and identified workflows that benefit most from the technology.

Deployment of remote advanced electrocardiography for improved cardiovascular risk assessment in career firefighters

INTRODUCTION

Firefighters perform strenuous muscular work while wearing heavy, encapsulating personal protective equipment in high temperature environments, under chaotic and emotionally stressful conditions. These factors can precipitate sudden cardiac events in firefighters with underlying cardiovascular disease. The purpose of this pilot study was to deploy and explore the feasibility of the resting "advanced" 12-lead electrocardiogram (A-ECG) as a remote firefighter risk assessment tool for improved assessment of cardiac risk.

MATERIALS AND METHODS

Conventional 12-lead resting electrocardiograms (ECGs) were collected for 5 min by using high-fidelity PC-based ECG hardware and software while subjects (n=21) rested comfortably. Raw data from the ECG system were securely transported via a secure network to a server where they were archived and processed. Authorized personnel performed both conventional ECG and A-ECG analyses from each digital recording, generating A-ECG "scores" in a blinded fashion. A separate cohort of firefighters (n=6) was trained to administer the A-ECG and rated the system's usability and frequency of technical problems.

RESULTS

Of the 21 uniformed personnel who completed testing, only 1 had a positive A-ECG score for coronary artery disease, which was subsequently confirmed by a cardiologist. All other subjects were classified as healthy by A-ECG. Firefighters trained to administer the A-ECG responded favorably in rating the usability of the system.

CONCLUSIONS

We have demonstrated that a new technology, A-ECG, can be deployed for remote firefighter risk assessment being performed by firefighters themselves and interpreted centrally. This simple, time- and cost-effective approach can help identify individuals potentially at increased risk for line-of-duty death due to underlying cardiovascular disease.

The informative contribution of the "virtual medical visit" in a new heart failure telemedicine integrated system

INTRODUCTION

Telemedicine systems consist of collection, transmission, and analysis of biometric data essentially based on instrumental measures. Our goal was to evaluate if information collected from patients has an incremental informative value in automatically rating the patient's health status.

MATERIALS AND METHODS

We present preliminary results of a new telemedicine system (ASCOLTA) obtained by observation of 12 heart failure patients (New York Heart Association Class IIb-III). Instrumental data (electrocardiogram, oxygen saturation level, and respiration rate) were wirelessly collected daily together with clinical data (weight, heart rate, and blood pressure values) and patients' information obtained through a Web-based questionnaire, simulating a virtual medical visit. Health status was independently judged by two blinded cardiologists and by the patient's cardiologist on the basis of 348 daily clinical reports. Random forest classification analysis was applied to 240 complete clinical report variables in order to estimate the judged health status.

RESULTS

The use of "patient's information" led to a better predictive ability in comparison with using only physiological parameters assessed by instruments. The complete set of variables (Patient+Instrumental) achieved 84% concordance, compared with 72% for the instrumental-only variables and 69% for the patient-only variables. The receiver operator characteristics curves graphically confirmed the described results.

CONCLUSIONS

Patients have an active role in home monitoring, and their information appears relevant for a new telemedicine approach integrating subjective and objective vital signs. Combining patient information with instrumental parameters, it is possible to achieve a more correct automatic classification of health status of heart failure patients.

Health monitors for chronic disease by gait analysis with mobile phones

We have developed GaitTrack, a phone application to detect health status while the smartphone is carried normally. GaitTrack software monitors walking patterns, using only accelerometers embedded in phones to record spatiotemporal motion, without the need for sensors external to the phone. Our software transforms smartphones into health monitors, using eight parameters of phone motion transformed into body motion by the gait model. GaitTrack is designed to detect health status while the smartphone is carried during normal activities, namely, free-living walking. The current method for assessing free-living walking is medical accelerometers, so we present evidence that mobile phones running our software are more accurate. We then show our gait model is more accurate than medical pedometers for counting steps of patients with chronic disease. Our gait model was evaluated in a pilot study involving 30 patients with chronic lung disease. The six-minute walk test (6 MWT) is a major assessment for chronic heart and lung disease, including congestive heart failure and especially chronic obstructive pulmonary disease (COPD), affecting millions of persons. The 6 MWT consists of walking back and forth along a measured distance for 6 minutes. The gait model using linear regression performed with 94.13% accuracy in measuring walk distance, compared with the established standard of direct observation. We also evaluated a different statistical model using the same gait parameters to predict health status through lung function. This gait model has high accuracy when applied to demographic cohorts, for example, 89.22% accuracy testing the cohort of 12 female patients with ages 50-64 years.

The influence of a wound care teleassistance service on nursing practice: a case study in Quebec

BACKGROUND

Although telehealth is a promising solution for healthcare professionals who work in remote and rural regions, the influence of specific telehealth applications on the nursing workforce remains unknown. This case study aimed to explore the potential influence of a teleassistance service in wound care (the acronym in French is TASP) on nursing practices and on nurse retention in peripheral areas.

MATERIALS AND METHODS

We carried out an exploratory single case study based on 16 semistructured interviews with two promoters of TASP, five nursing managers, and nine nurses from three levels of expertise associated with this service.

RESULTS

According to participants, the main positive influences of TASP were observed in quality of care, professional autonomy, professional development, and decrease of professional isolation. Participants mentioned increased workload associated with global patient data collection at first consultation as a negative effect of TASP. Finally, three possible effects of TASP on nurse retention were identified: none or minimal, imprecise, or mostly positive.

CONCLUSIONS

This case study highlights the positive influence of TASP on several dimensions of nursing practice, in addition to its essential role in improving the quality of care. However, it is important to consider that the service cannot be considered as a solution to or replacement for the shortage of nurses.