Systematic review and meta-analysis of clinical trials: In-hospital use of sensors for prevention of falls

Ethics of Sensor-Based Surveillance of People with Dementia in Clinical Practice

Sensor-based surveillance technology (SST) is increasingly employed in the care of people with dementia (PwD) in hospitals, nursing homes, and home care. With improved functionality and availability of SST, there will likely be a growing utilization in clinical settings. In the context of staff shortage, the expected resource-efficient safety benefits are attractive but must be critically balanced against concerns that basic ethical principles are violated. In this discussion paper, we provide a brief overview of frequently used SST and discuss ethical issues associated with their use. We identify intrusion into privacy and the complex interaction between stakeholders as the biggest challenges. Moreover, the frequent lack of decision-making capacity in PwD poses particular ethical challenges. Evidence concerning safety benefits exists mostly for the detection of patients leaving the intended area (i.e., getting up, leaving the premises) or occurring falls. The level of privacy intrusion to detect occurring falls varies widely between different sensor systems. Finally, we propose best practice recommendations for the clinical implementation of SST in the care of PwD, and we address the circumstances under which the use of sensors can be ethically justified despite the absence of legally valid informed consent.

Conference report: Trends, new technologies and implications for dementia diagnostics, treatment and care in Switzerland

Dementia diseases represent a major burden for the directly affected people, their relatives and modern society. Despite considerable efforts in recent years, early and accurate disease diagnosis and monitoring is still a challenge while no cure is available in most cases. New drugs, in particular disease-modifying therapies, and recent technological advancements offer promising perspectives. The integration of novel biomarkers, artificial intelligence and digital health tools has the potential to transform dementia care, making it more personalised, efficient and adapted to the living conditions and needs of older people. In November 2023, the 7th Dementia Summit convened a panel of experts from geriatrics, neurology, neuropsychology, psychiatry, ethics as well as general medicine to discuss interdisciplinary challenges, advancements and their implications for the future of dementia care in Switzerland. The conference underscored the importance of a multidisciplinary approach to successfully integrate new technologies in both clinical-translational research and dementia prevention, diagnosis and care. While recent innovations represent major steps forward, their implementation also comes with important challenges including questions on healthcare system preparedness and adaptation, ethical aspects, technology literacy, acceptance and appropriate use.

The use and usefulness of the Peninsula Health Falls Risk Assessment Tool (PHFRAT) process in residential aged care: a mixed methods study across 25 aged care facilities

BACKGROUND

Falls remain a persistent problem in residential aged care (RAC) facilities. Fall screening and assessment tools such as the Peninsula Health Falls Risk Assessment Tool (PHFRAT) are widely used to inform falls risk and guide fall prevention interventions. However, it is unclear how it is used in practice and whether clinicians believe it supports resident care. This study aimed to measure the extent of use of PHFRAT to understand clinicians' perceptions of its value and usefulness.

METHODS

This mixed method study involved an analysis of PHFRAT assessment from 25 RAC facilities in New South Wales, Australia, and interviews with seven RAC staff about how PHFRAT information is used in practice. In the quantitative component, descriptive statistics were applied to PHFRAT data to summarise how RAC staff use the PHFRAT including the completeness and content of the three parts. In the qualitative component, thematic analysis techniques were applied to interview data.

RESULTS

The sample included 215 RAC residents with 703 PHFRATs, of which 617 documented fall prevention interventions. Among these 617 PHFRATs, 593 (96.1%) included strategies related to staff assistance and 283 (45.9%) recorded strategies related to device provision. While nearly all residents (96.74%) received at least one PHFRAT assessment over the study period, many PHFRAT assessments were incomplete (part 1: 11.5% of information missing; part 2: 10.8%; part 3: 17.1%). There were few variations in fall interventions prescribed to individual residents by their fall risk level. Interviews with RAC staff indicated that PHFRAT assessments are the responsibility of registered nurses with limited input from other staff or residents. While the structured process was viewed positively in guiding risk assessment and intervention assessment, a lack of input from others prevented strategies from being tailored to residents' specific needs and preferences. A shortage of resources, lack of communication, and limited staff education were identified as the main barriers to PHFRAT guideline implementation.

CONCLUSION

The PHFRAT provides a useful structure for clinicians to assess falls risk factors and plan falls prevention strategies. In the future, increased multidisciplinary input into fall prevention strategy development may improve the comprehensiveness of fall prevention plans.

The effectiveness of a fall detection device in older nursing home residents: a pilot study

BACKGROUND

Real-world research to evaluate the effect of device technology in preventing fall-related morbidity is limited. This pilot study aims to investigate the effectiveness of a non-wearable fall detection device in older nursing home residents.

METHODS

The study was conducted in a nursing home with single-resident rooms. Fall detection devices were randomly set up in half of the rooms. Demographic data, comorbidities, lists of medications, and functional, nutritional, and frailty status were recorded. The residents were followed up for 3 months. The primary outcome was falls and the secondary outcome was all-cause mortality.

RESULTS

A total of 26 participants were enrolled in the study. The study group consisted of 13 residents who had a fall detection device in their rooms. The remaining 13 residents on the same floor formed the control group. Participants had a mean age of 82 ± 10 years and 89% of the residents were female. The most prevalent comorbidity was dementia. Two residents from the control group and one resident from the study group experienced a fall event during follow-up. The fall events in the control group were identified retrospectively by the nursing home staff, whereas the fall in the study group received a prompt response from the staff who were notified by the alarm. One resident was transferred to the hospital and died due to a non-fall related reason.

CONCLUSION

Device technology may provide an opportunity for timely intervention to prevent fall-related morbidity in institutionalized older adults.

Talking about falls: a qualitative exploration of spoken communication of patients' fall risks in hospitals and implications for multifactorial approaches to fall prevention

BACKGROUND

Inpatient falls are the most common safety incident reported by hospitals worldwide. Traditionally, responses have been guided by categorising patients' levels of fall risk, but multifactorial approaches are now recommended. These target individual, modifiable fall risk factors, requiring clear communication between multidisciplinary team members. Spoken communication is an important channel, but little is known about its form in this context. We aim to address this by exploring spoken communication between hospital staff about fall prevention and how this supports multifactorial fall prevention practice.

METHODS

Data were collected through semistructured qualitative interviews with 50 staff and ethnographic observations of fall prevention practices (251.25 hours) on orthopaedic and older person wards in four English hospitals. Findings were analysed using a framework approach.

FINDINGS

We observed staff engaging in 'multifactorial talk' to address patients' modifiable risk factors, especially during multidisciplinary meetings which were patient focused rather than risk type focused. Such communication coexisted with 'categorisation talk', which focused on patients' levels of fall risk and allocating nursing supervision to 'high risk' patients. Staff negotiated tensions between these different approaches through frequent 'hybrid talk', where, as well as categorising risks, they also discussed how to modify them.

CONCLUSION

To support hospitals in implementing multifactorial, multidisciplinary fall prevention, we recommend: (1) focusing on patients' individual risk factors and actions to address them (a 'why?' rather than a 'who' approach); (2) where not possible to avoid 'high risk' categorisations, employing 'hybrid' communication which emphasises actions to modify individual risk factors, as well as risk level; (3) challenging assumptions about generic interventions to identify what individual patients need; and (4) timing meetings to enable staff from different disciplines to participate.

The experiences of older adults with cognitive impairment in using falls prevention alarms in hospital: A qualitative descriptive study

INTRODUCTION

Bed and chair sensor alarms are commonly used for falls prevention in hospitals, despite questionable efficacy. Research analysing older adults' experiences of alarms is scarce, and adults with cognitive impairment are consistently excluded.

AIM

The aim of this study was to explore how older adults with cognitive impairment perceive and experience falls prevention alarms in hospital.

METHOD

A qualitative descriptive design investigated older adults' experiences of alarms in a Geriatric Evaluation and Management ward in Melbourne. Patients were included if they had been provided an alarm. Semi-structured interviews were the primary method of data collection with two observation sessions and medical record analyses completed to enable triangulation of findings. Data were subjected to thematic analysis, and the Person-Environment-Occupation framework was chosen to add insight into the complexities of older adults' experiences of alarms.

FINDINGS

All 11 participants had a level of cognitive impairment with delirium, confusion, or impulsiveness recorded in their medical file. Two overarching themes were identified: communication and collaboration with staff and rationalisation of alarm use. Participants' perceived staff were focussed on falls prevention but experienced a lack of communication about the purpose of alarms. Participants wanted an individualised approach to alarms. Some were comforted with the thought of alarms alerting staff, making them feel well cared for and believed alarms were a useful 'back-up'. Others found alarms uncomfortable, frustrating, and restricting. Application of the Person-Environment-Occupation framework provided insight into how enabling and restrictive factors can impact whether the alarm is experienced positively or negatively. Seven unwitnessed falls occurred during the participants' admissions. Thirty-four per cent of alarm triggers observed were considered false alerts.

CONCLUSION

Older adults commonly reported negative experiences using bed/chair sensor alarms. Occupational therapists have the training to collaborate with people with cognitive impairment and assess the usefulness of alarms in reducing falls, based on how they interact with the older adult's unique person, environment, and occupation domains.

Nurses' experiences of using falls alarms in subacute care: A qualitative study

Bed and chair alarms have been included in many multifaceted falls prevention interventions. None of the randomised trials of falls alarms as sole interventions have showed significant effect on falls or falls with injury. Further, use of bed and chair alarms did not change patients' fear of falling, length of hospital stay, functional status, discharge destination or health related quality of life. The aim of this study was to explore nurses' experiences of using bed and chair alarms. A qualitative descriptive study using semi-structured interviews with a purposive sample of 12 nurses was conducted on a 32-bed Geriatric Evaluation and Management ward in Melbourne, Australia. Participants were interviewed between 27 January and 12 March 2021.Transcribed audio-recordings of interviews were analysed using inductive thematic analysis. NVIVO 12.6 was used to manage the study data. Three major themes and four subthemes were constructed from the data: i) negative impacts of falls alarms (subthemes: noisy technology, imperfect technology), ii) juggling the safety-risk conflict, and iii) negotiating falls alarm use (subthemes: nurse decision making and falls alarm overuse). Nurses' experience of using falls alarms was predominantly negative and there was tension between falls alarms having limited impact on patient safety and risks associated with their use. Nurses described a need to support nurse decision making related to falls alarms use in practice and policy, and a desire to be empowered to manage falls risk in other ways.

Predicting Falls in Rehabilitation: A Comparison of Three Instruments Including Hester Davis

PURPOSE

The aim of this study was to evaluate the ability of the Hester Davis Scale (HDS), Section GG, and facility fall risk assessment scores to predict patients who fall during inpatient rehabilitation.

DESIGN

This study is an observational quality improvement project.

METHODS

Nurses administered the HDS in parallel to the facility's current fall risk assessment and Section GG of the Centers for Medicare & Medicaid Services Inpatient Rehabilitation Facility Patient Assessment Instrument. Receiver operating characteristic curves were compared in 1,645 patients. Relationships of individual scale items to falls were also assessed.

RESULTS

The HDS (area under the curve [AUC] = .680, 95% CI [.626, .734]), facility fall risk assessment (AUC = .688, 95% CI [.637, .740]), and Section GG scores (AUC = .687, 95% CI [.638, .735]) adequately identified patients who fell. AUCs did not significantly differ between assessments. HDS scores of ≥13, facility scores of ≥14, and Section GG scores of ≤51 resulted in the highest sensitivity/specificity balance.

CONCLUSIONS

HDS, facility fall risk assessment, and Section GG scores adequately and similarly identified patients of mixed diagnoses at risk of falling in inpatient rehabilitation.

CLINICAL RELEVANCE TO THE PRACTICE OF REHABILITATION NURSING

Rehabilitation nurses have several options including the HDS and Section GG to identify patients at greatest risk of falling.

Health Monitoring Using Smart Home Technologies: Scoping Review

BACKGROUND

The Internet of Things (IoT) has become integrated into everyday life, with devices becoming permanent fixtures in many homes. As countries face increasing pressure on their health care systems, smart home technologies have the potential to support population health through continuous behavioral monitoring.

OBJECTIVE

This scoping review aims to provide insight into this evolving field of research by surveying the current technologies and applications for in-home health monitoring.

METHODS

Peer-reviewed papers from 2008 to 2021 related to smart home technologies for health care were extracted from 4 databases (PubMed, Scopus, ScienceDirect, and CINAHL); 49 papers met the inclusion criteria and were analyzed.

RESULTS

Most of the studies were from Europe and North America. The largest proportion of the studies were proof of concept or pilot studies. Approximately 78% (38/49) of the studies used real human participants, most of whom were older females. Demographic data were often missing. Nearly 60% (29/49) of the studies reported on the health status of the participants. Results were primarily reported in engineering and technology journals. Almost 62% (30/49) of the studies used passive infrared sensors to report on motion detection where data were primarily binary. There were numerous data analysis, management, and machine learning techniques employed. The primary challenges reported by authors were differentiating between multiple participants in a single space, technology interoperability, and data security and privacy.

CONCLUSIONS

This scoping review synthesizes the current state of research on smart home technologies for health care. We were able to identify multiple trends and knowledge gaps-in particular, the lack of collaboration across disciplines. Technological development dominates over the human-centric part of the equation. During the preparation of this scoping review, we noted that the health care research papers lacked a concrete definition of a smart home, and based on the available evidence and the identified gaps, we propose a new definition for a smart home for health care. Smart home technology is growing rapidly, and interdisciplinary approaches will be needed to ensure integration into the health sector.

Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall

Nowadays, it becomes of paramount societal importance to support many frail-prone groups in our society (elderly, patients with neurodegenerative diseases, etc.) to remain socially and physically active, maintain their quality of life, and avoid their loss of autonomy. Once older people enter the prefrail stage, they are already likely to experience falls whose consequences may accelerate the deterioration of their quality of life (injuries, fear of falling, reduction of physical activity). In that context, detecting frailty and high risk of fall at an early stage is the first line of defense against the detrimental consequences of fall. The second line of defense would be to develop original protocols to detect future fallers before any fall occur. This paper briefly summarizes the current advancements and perspectives that may arise from the combination of affordable and easy-to-use non-wearable systems (force platforms, 3D tracking motion systems), wearable systems (accelerometers, gyroscopes, inertial measurement units-IMUs) with appropriate machine learning analytics, as well as the efforts to address these challenges.

Assessment of a wearable fall prevention system at a veterans health administration hospital

Objective

In-hospital falls are a significant cause of morbidity and mortality. The Veterans Health Administration (VHA) has designated fall prevention as a major focus area. The objective of this report is to assess the performance of a new sensor-enabled wearable system to prevent patient falls.

Methods

An integrated sensor-enabled wearable SmartSock system was utilized to prevent falls at the acute care wards of a large VA hospital. Individual patients were only provided the SmartSocks when they were determined to be at high risk of falling. All fall count rates, with and without using the SmartSock, were evaluated and compared for individual patients. SmartSock sensor and electronic health record data were combined to assess the system's performance from February 10, 2021, through October 31, 2021.

Results

There were 20.7 falls per 1000 ward days of care (WDOC) for those not using the SmartSocks compared to 9.2 falls per 1000 WDOC for patients using the SmartSocks. This represents a reduction of falls by more than half. These findings are further confirmed with a negative binomial regression model, which showed the use of the SmartSock had a statistically significant effect on the rate of falls (p = 0.03) when length of stay was held constant and demonstrated the odds of fall incident rate of 0.48 (95% CI, 0.24-0.92), that is less than half compared to when patients were not wearing the SmartSock.

Conclusion

The use of a sensor-enabled wearable SmartSock fall prevention system resulted in a clinically meaningful and statistically significant decrease in falls in the acute care setting.

Fall Prevention With the Smart Socks System Reduces Hospital Fall Rates

BACKGROUND

Falls of inpatients are common in hospitals. Existing fall prevention measures do not work consistently.

PURPOSE

To determine whether Smart Socks reduce fall rates in fall risk patients at a major academic health center's neurological and neurosurgical based units.

METHODS

A prospective study was conducted that provided fall risk patients with Smart Socks and no other fall prevention system. Data collected included duration of Smart Socks wearing, number of alarms, response times, and patient-days.

RESULTS

A total of 569 fall risk patients were included for 2211.6 patient-days. There were 4999 Smart Socks alarms, but none of the patients fell. We observed a lower fall rate, of 0 per 1000 patient-days, for patients wearing Smart Socks than the historical fall rate of 4 per 1000 patient-days. The median nurse response time was 24 seconds.

CONCLUSIONS

The Smart Socks reduced fall rates of fall risk patients included in the study.

Falls as the result of interplay between nurses, patient and the environment: Using text-mining to uncover how and why falls happen

Objectives

This study aimed to explore, from the perspectives of nurses, how patients, the environment, and the practice of nurses interact with each other to contribute to patient falls.

Methods

A retrospective review of incident reports on patient falls, registered by nurses between 2016 and 2020, was conducted. The incident reports were retrieved from the database set up for the project of the Japan Council for Quality Health Care. The text descriptions of the "background of falls" were extracted verbatim, and analyzed by using a text-mining approach.

Results

A total of 4,176 incident reports on patient falls were analyzed. Of these falls, 79.0% were unwitnessed by nurses, and 8.7% occurred during direct nursing care. Document clustering identified 16 clusters. Four clusters were related to patients, such as the decline in their physiological/cognitive function, a loss of balance, and their use of hypnotic and psychotropic agents. Three clusters were related to nurses, and these included a lack of situation awareness, reliance on patient families, and insufficient implementation of the nursing process. Six clusters were concerned with patients and nurses, including the unproductive use of a bed alarm and call bells, the use of inappropriate footwear, the problematic use of walking aids and bedrails, and insufficient understanding of patients' activities of daily living. One cluster, chair-related falls, involved both patient and environmental factors. Finally, two clusters involved patient, nurse, and environmental factors, and these falls occurred when patients were bathing/showering or using a bedside commode.

Conclusions

Falls were caused by a dynamic interplay between patients, nurses, and the environment. Since many of the patient factors are difficult to modify in a short time, the focus has to be placed on nursing and environmental factors to reduce falls. In particular, improving nurses' situation awareness is of foremost importance, as it influences their decisions and actions to prevent falls.

The Role of Autopsy and Post-Mortem Investigations in Falling Traumas in the Hospital Environment

Falls in a hospital setting are a global public health problem. Despite the production of sensors and various preventive tools to reduce the risk, falls remain a dangerous event with a significant impact on the morbidity and mortality of patients. Despite numerous prevention strategies, falling in the hospital are not always investigated and the autopsy is not always performed in these cases, so it is often not known whether the death is related to the fall or to other causes, inevitably affecting the assessment of any profiles of medical liability for health personnel or for the hospital in the accident. We describe three cases of falls that occurred in different hospitals, in which the autopsy allowed to diagnose with certainty the extent of the trauma and to reconstruct its dynamics. Along with the circumstantial and documentary analyses, deficiencies both in the trauma diagnostics and in the application of the safety measures on the patients were showed. Together with the description of our cases, we propose the post-mortem investigations of these events, both for judicial and risk management purposes.

Interventions for preventing and reducing the use of physical restraints of older people in general hospital settings

BACKGROUND

Physical restraints, such as bedrails, belts in chairs or beds, and fixed tables, are commonly used for older people in general hospital settings. Reasons given for using physical restraints are to prevent falls and fall-related injuries, to control challenging behavior (such as agitation or wandering), and to ensure the delivery of medical treatments. Clear evidence of their effectiveness is lacking, and potential harms are recognised, including injuries associated with the use of physical restraints and a negative impact on people's well-being. There are widespread recommendations that their use should be reduced or eliminated.

OBJECTIVES

To assess the best evidence for the effects and safety of interventions aimed at preventing and reducing the use of physical restraint of older people in general hospital settings. To describe the content, components and processes of these interventions.

SEARCH METHODS

We searched the Cochrane Dementia and Cognitive Improvement Group's register, MEDLINE (Ovid SP), Embase (Ovid SP), PsycINFO (Ovid SP), CINAHL (EBSCOhost), Web of Science Core Collection (Clarivate), LILACS (BIREME), ClinicalTrials.gov and the World Health Organization's meta-register the International Clinical Trials Registry Portal on 20 April 2022.

SELECTION CRITERIA

We included randomised controlled trials and controlled clinical trials that investigated the effects of interventions that aimed to prevent or reduce the use of physical restraints in general hospital settings. Eligible settings were acute care and rehabilitation wards. We excluded emergency departments, intensive care and psychiatric units, as well as the use of restrictive measures for penal reasons (e.g. prisoners in general medical wards). We included studies with a mean age of study participants of at least 65 years. Control groups received usual care or active control interventions that were ineligible for inclusion as experimental interventions.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected the articles for inclusion, extracted data, and assessed the risk of bias of all included studies. Data were unsuitable for meta-analysis, and we reported results narratively. We used GRADE methods to describe our certainty in the results.

MAIN RESULTS

We included four studies: two randomised controlled trials (one individually-randomised, parallel-group trial and one clustered, stepped-wedge trial) and two controlled clinical trials (both with a clustered design). One study was conducted in general medical wards in Canada and three studies were conducted in rehabilitation hospitals in Hong Kong. A total of 1709 participants were included in three studies; in the fourth study the number of participants was not reported. The mean age ranged from 67 years to 84 years. The duration of follow-up covered the period of patients' hospitalisation in one study (21 days average length of stay) and ranged from 4 to 11 months in the other studies. The definition of physical restraints differed slightly, and one study did not include bedrails. Three studies investigated organisational interventions aimed at implementing a least-restraint policy to reduce physical restraints. The theoretical approach of the interventions and the content of the educational components was comparable across studies. The fourth study investigated the use of pressure sensors for participants with an increased falls risk, which gave an alarm if the participant left the bed or chair. Control groups in all studies received usual care. Three studies were at high risk of selection bias and risk of detection bias was unclear in all studies. Because of very low-certainty evidence, we are uncertain about the effect of organisational interventions aimed at implementing a least-restraint policy on our primary efficacy outcome: the use of physical restraints in general hospital settings. One study found an increase in the number of participants with at least one physical restraint in the intervention and control groups, one study found a small reduction in both groups, and in the third study (the stepped-wedge study), the number of participants with at least one physical restraint decreased in all clusters after implementation of the intervention but no detailed information was reported. For the use of bed or chair pressure sensor alarms for people with an increased fall risk, we found moderate-certainty evidence of little to no effect of the intervention on the number of participants with at least one physical restraint compared with usual care. None of the studies systematically assessed adverse events related to use of physical restraint use, e.g. direct injuries, or reported such events. We are uncertain about the effect of organisational interventions aimed at implementing a least-restraint policy on the number of participants with at least one fall (very low-certainty evidence), and there was no evidence that organisational interventions or the use of bed or chair pressure sensor alarms for people with an increased fall risk reduce the number of falls (low-certainty evidence from one study each). None of the studies reported fall-related injuries. We found low-certainty evidence that organisational interventions may result in little to no difference in functioning (including mobility), and moderate-certainty evidence that the use of bed or chair pressure sensor alarms has little to no effect on mobility. We are uncertain about the effect of organisational interventions on the use of psychotropic medication; one study found no difference in the prescription of psychotropic medication. We are uncertain about the effect of organisational interventions on nurses' attitudes and knowledge about the use of physical restraints (very low-certainty evidence).

AUTHORS' CONCLUSIONS

We are uncertain whether organisational interventions aimed at implementing a least-restraint policy can reduce physical restraints in general hospital settings. The use of pressure sensor alarms in beds or chairs for people with an increased fall risk has probably little to no effect on the use of physical restraints. Because of the small number of studies and the study limitations, the results should be interpreted with caution. Further research on effective strategies to implement a least-restraint policy and to overcome barriers to physical restraint reduction in general hospital settings is needed.

Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Aim

To investigate the feasibility of wearable gait analysis in geriatric wards by testing the effectiveness and acceptance of the system.

Findings

Wearable gait analysis can be implemented into geriatric wards, showing its readiness for a transformation from a pure research tool to a practically usable gait analysis system.

Message

Despite good transferability into clinical practice, future research should aim to increase functionality and applicability of wearable gait analysis systems in clinical contexts.

Purpose

We assess feasibility of wearable gait analysis in geriatric wards by testing the effectiveness and acceptance of the system.

Methods

Gait parameters of 83 patients (83.34 ± 5.88 years, 58/25 female/male) were recorded at admission and/or discharge to/from two geriatric inpatient wards. Gait parameters were tested for statistically significant differences between admission and discharge. Walking distance measured by a wearable gait analysis system was correlated with distance assessed by physiotherapists. Examiners rated usability using the system usability scale. Patients reported acceptability on a five-point Likert-scale.

Results

The total distance measures highly correlate (r = 0.89). System Usability Scale is above the median threshold of 68, indicating good usability. Majority of patients does not have objections regarding the use of the system. Among other gait parameters, mean heel strike angle changes significantly between admission and discharge.

Conclusion

Wearable gait analysis system is objectively and subjectively usable in a clinical setting and accepted by patients. It offers a reasonably valid assessment of gait parameters and is a feasible way for instrumented gait analysis.