The "Aachen fall prevention App" - a Smartphone application app for the self-assessment of elderly patients at risk for ground level falls

Older Adult Falls in Emergency Medicine, 2023 Update

Of 4 older adults, 1 will fall each year in the United States. Based on 2020 data from the Centers of Disease Control, about 36 million older adults fall each year, resulting in 32,000 deaths. Emergency departments see about 3 million older adults for fall-related injuries with falls having the ability to cause serious injury such as catastrophic head injuries and hip fractures. One-third of older fall patients discharged from the ED experience one of these outcomes at 3 months.

Co-Creating a Digital Life-Integrated Self-Assessment for Older Adults: User Experience Study

BACKGROUND

Older adults are at increased risk of developing health disorders and functional decline. However, owing to time constraints and considerable effort, physicians rarely conduct comprehensive assessments to detect early signs of negative trajectories. If designed properly, digital technologies could identify health risks already at a preclinical stage, thereby facilitating preventive efforts and targeted intervention. For this purpose, a Life-integrated Self-Assessment (LiSA) tablet system will be developed through a structured co-creation process.

OBJECTIVE

This study aims to investigate older adults' perceptions of different self-assessment domains, components affecting user experience, risks and benefits associated with LiSA, characteristics of potential LiSA users, and the LiSA concept in general.

METHODS

A total of 10 community-dwelling older adults aged ≥70 years were recruited. In total, 6 co-creation workshops were held and started with expert input followed by semistructured discussion rounds. Participants performed hands-on activities with a tablet, including testing of preinstalled self-assessment apps. All workshops were audio recorded and additionally documented by the researchers using flipcharts, notes, and photos. Qualitative content analysis was used to analyze the data following a deductive-inductive approach guided by the Optimized Honeycomb Model for user experience.

RESULTS

The group (mean age 77.8, SD 5.1 years) was heterogeneous in terms of previous technology experience and health status. The mean workshop duration was 2 hours (122.5, SD 4.43 min), and an average of 8 (SD 1.15) participants attended each workshop. A total of 11 thematic categories were identified, covering results on all research questions. Participants emphasized a strong interest in conducting a digital self-assessment of physical activity and function and sensory and cognitive functions and requested additional features such as recommendations for actions or reminders. LiSA was perceived as empowering and a motivator to engage in active health care planning as well as enabling shared and informed decision-making. Concerns and barriers included the lack of technical competence, feelings of frustration, and fear of being left alone, with negative assessment results. In essence, participants expressed a positive attitude toward using LiSA repeatedly and identified it as an option to increase the chances of maintaining independence when growing older.

CONCLUSIONS

The co-creation participants supported the LiSA approach and were interested in performing regular self-assessments on a long-term basis. In their opinion, LiSA should include relevant assessments capturing physical activity and function and sensory and cognitive functions as well as recommendations for actions. It should be customizable to individual needs. These results will form the basis for a prototype. Iterative development and validation will aim to make LiSA accessible in the public domain as a reliable tablet-based system for self-assessment.

The Usability of a Smartphone-Based Fall Risk Assessment App for Adult Wheelchair Users: Observational Study

Background

Individuals who use wheelchairs and scooters rarely undergo fall risk screening. Mobile health technology is a possible avenue to provide fall risk assessment. The promise of this approach is dependent upon its usability.

Objective

We aimed to determine the usability of a fall risk mobile health app and identify key technology development insights for aging adults who use wheeled devices.

Methods

Two rounds (with 5 participants in each round) of usability testing utilizing an iterative design-evaluation process were performed. Participants completed use of the custom-designed fall risk app, Steady-Wheels. To quantify fall risk, the app led participants through 12 demographic questions and 3 progressively more challenging seated balance tasks. Once completed, participants shared insights on the app’s usability through semistructured interviews and completion of the Systematic Usability Scale. Testing sessions were recorded and transcribed. Codes were identified within the transcriptions to create themes. Average Systematic Usability Scale scores were calculated for each round.

Results

The first round of testing yielded 2 main themes: ease of use and flexibility of design. Systematic Usability Scale scores ranged from 72.5 to 97.5 with a mean score of 84.5 (SD 11.4). After modifications were made, the second round of testing yielded 2 new themes: app layout and clarity of instruction. Systematic Usability Scale scores improved in the second iteration and ranged from 87.5 to 97.5 with a mean score of 91.9 (SD 4.3).

Conclusions

The mobile health app, Steady-Wheels, has excellent usability and the potential to provide adult wheeled device users with an easy-to-use, remote fall risk assessment tool. Characteristics that promoted usability were guided navigation, large text and radio buttons, clear and brief instructions accompanied by representative illustrations, and simple error recovery. Intuitive fall risk reporting was achieved through the presentation of a single number located on a color-coordinated continuum that delineated low, medium, and high risk.

[Digital geriatric self-assessment-A narrative review]

BACKGROUND

Digital health apps have a large potential for autonomous screening and monitoring of older people with respect to maintaining their independence. Due to demographic change and the shortage of specialized personnel in medicine, these premedical self-assessment apps could be of great value in the future.

OBJECTIVE

This narrative review enables the assessment of whether a digital geriatric self-assessment for older people ≥ 70 years is feasible using currently available apps.

MATERIAL AND METHODS

A search was carried out for apps that enable a self-assessment in the following domains: physical capacity, cognition, emotion, nutrition, sensory perception and context factors. Based on predefined criteria apps were selected and presented.

RESULTS

Self-assessment apps could be identified in four of the six domains: physical capacity, cognition, emotion and sensory perception. In total five apps are presented as examples. No apps were identified regarding nutrition and context factors. Numerous self-assessment apps were identified for the field of physical activity.

CONCLUSION

The presented results indicate that digital self-assessment can currently be realized for certain domains of the comprehensive geriatric assessment. New promising apps are currently under development. More research is needed to verify test quality criteria and usability of available apps. Furthermore, there is a need for a platform that integrates individual assessment apps to provide users with an overview of the results and recommendations.

Mobile Technology for Falls Prevention in Older Adults

Falls are the leading cause of accidental death in older adults that result from a complex interplay of risk factors. Recently, the need for person-centered approach utilizing personalization, prediction, prevention and participation, known as the P4 model, in fall prevention has been highlighted. Features of mobile technology make it a suitable technological infrastructure to employ such an approach. This narrative review aims to review the evidence for using mobile technology for personalized fall risk assessment and prevention since 2017 in older adults. We aim to identify lessons learned and future directions for using mobile technology as a fall risk assessment and prevention tool. Articles were searched in PubMed and Web of Science with search terms related to older adults, mobile technology, and falls prevention. A total of 23 articles were included. Articles were identified as those examining aspects of the P4 model including prediction (measurement of fall risk), personalization (usability), prevention, and participation. Mobile technology appears to be comparable to gold-standard technology in measuring well-known fall risk factors including static and dynamic balance. Seven applications were developed to measure different fall risk factors and tested for personalization, and/or participation aspects, and four were integrated into a falls prevention program. Mobile health technology offers an innovative solution to provide tailored fall risk screening, prediction, and participation. Future studies should incorporate multiple, objective fall risk measures and implement them in community settings to determine if mobile technology can offer tailored and scalable interventions.

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis

Background

Osteoporosis is the fourth most common chronic disease worldwide. The adoption of preventative measures and effective self-management interventions can help improve bone health. Mobile health (mHealth) technologies can play a key role in the care and self-management of patients with osteoporosis.

Objective

This study presents a systematic review and meta-analysis of the currently available mHealth apps targeting osteoporosis self-management, aiming to determine the current status, gaps, and challenges that future research could address, as well as propose appropriate recommendations.

Methods

A systematic review of all English articles was conducted, in addition to a survey of all apps available in iOS and Android app stores as of May 2021. A comprehensive literature search (2010 to May 2021) of PubMed, Scopus, EBSCO, Web of Science, and IEEE Xplore was conducted. Articles were included if they described apps dedicated to or useful for osteoporosis (targeting self-management, nutrition, physical activity, and risk assessment) delivered on smartphone devices for adults aged ≥18 years. Of the 32 articles, a random effects meta-analysis was performed on 13 (41%) studies of randomized controlled trials, whereas the 19 (59%) remaining studies were only included in the narrative synthesis as they did not provide enough data.

Results

In total, 3906 unique articles were identified. Of these 3906 articles, 32 (0.81%) articles met the inclusion criteria and were reviewed in depth. The 32 studies comprised 14,235 participants, of whom, on average, 69.5% (n=9893) were female, with a mean age of 49.8 (SD 17.8) years. The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth-supported interventions resulted in a significant reduction in pain (Hedges g −1.09, 95% CI −1.68 to −0.45) and disability (Hedges g −0.77, 95% CI −1.59 to 0.05). The posttreatment effect of the digital intervention was significant for physical function (Hedges g 2.54, 95% CI −4.08 to 4.08) but nonsignificant for well-being (Hedges g 0.17, 95% CI −1.84 to 2.17), physical activity (Hedges g 0.09, 95% CI −0.59 to 0.50), anxiety (Hedges g −0.29, 95% CI −6.11 to 5.53), fatigue (Hedges g −0.34, 95% CI −5.84 to 5.16), calcium (Hedges g −0.05, 95% CI −0.59 to 0.50), vitamin D intake (Hedges g 0.10, 95% CI −4.05 to 4.26), and trabecular score (Hedges g 0.06, 95% CI −1.00 to 1.12).

Conclusions

Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be valuable tools for patients and health professionals. However, most of the apps that are currently available lack clinically validated evidence of their efficacy and focus on a limited number of symptoms. A more holistic and personalized approach within a cocreation design ecosystem is needed.

Trial Registration

PROSPERO 2021 CRD42021269399; https://tinyurl.com/2sw454a9

[An exploratory cross-sectional study on technical affinity and smartphone use among practice staff and patients: development of an app for multimorbid patients in general practice]

INTRODUCTION

Due to individual care needs, the provision of care to patients with two or more chronic diseases (multimorbidity) is described as complex. In addition, the number of chronically ill people is increasing, due in part to demographic changes which pose a challenge, especially for outpatient primary care. In order to fulfil patients' needs and to promote self-management as a central care element of chronically ill patients, the use of eHealth applications increases. TelePraCMan will be developed as one of these applications and includes a symptom-based electronic diary, which will be implemented in the established German disease management programme 'PraCMan'. This study is conducted as a part of the TelePraCMan project and aims to detect the needs of potential end users (physicians, medical assistants, patients).

METHODS

In the TelePraCMan development phase, an explorative cross-sectional study was conducted with potential end users of the TelePraCMan app (patients, physicians and medical assistants). For this purpose, a written survey was conducted in Baden-Wurttemberg between April 2019 and March 2020. The survey covered smartphone usage behaviour, technology affinity using the standardised questionnaire TA-EG, support network for technical questions and sociodemographic data.

RESULTS

A total of n=202 patients (n=98), physicians (n=58) and medical assistants (n=43) participated in the survey. Concerning smartphone use, 78.2 % of the participants stated that the function used most frequently was writing short messages. Health apps were the least used function (9.6 %). Furthermore, patients (12.6 %) use health apps more often than medical assistants (10.3%) and doctors (4.4 %). Participants aged 50 and younger were found to have a higher affinity for technology (mean=3.20, SD=0.51) than participants over 50 years of age (mean=2.98, SD=0.67). Older, multimorbid respondents had a particularly low affinity for technology (mean=2.52, SD=0.69). 10.9 % of the over-fifties and 12.5 % of the multimorbid persons felt able to fix any technical problems on their own without help. Multimorbid participants over the age of 50 were observed to prefer personal support over internet-based support.

DISCUSSION

On average, multimorbid respondents in the age group over 50 have a lower affinity for technology than respondents aged under 50 without multimorbidity. The most frequent negative attitude towards electronic devices is also found among patients over 50 years of age, who are expected to be the main target group of the TelePraCMan app. These findings can be used to derive requirements for the design and development of functions of the app, as well as accompanying measures, such as intuitive and simple user interface, a telephone hotline to support users, close consultation with users on the planned functions, and more.

CONCLUSION

Based on this survey, we were able to determine the needs of the future target group of the TelePraCMan app. This is seen as a starting point for the development of an implementation strategy and the pilot testing of the app in primary care.

A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study

BACKGROUND

Recent falls prevention guidelines recommend early routine fall risk assessment among older persons.

OBJECTIVE

The purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability, and predictive validity as a self-screening tool to identify fall risk among Malaysian older persons.

METHODS

FallSA acceptance was tested among 15 participants (mean age 65.93 [SD 7.42] years); its validity and reliability among 91 participants (mean age 67.34 [SD 5.97] years); discriminative ability and predictive validity among 610 participants (mean age 71.78 [SD 4.70] years). Acceptance of FallSA was assessed using a questionnaire, and it was validated against a comprehensive fall risk assessment tool, the Physiological Profile Assessment (PPA). Participants used FallSA to test their fall risk repeatedly twice within an hour. Its discriminative ability and predictive validity were determined by comparing participant fall risk scores between fallers and nonfallers and prospectively through a 6-month follow-up, respectively.

RESULTS

The findings of our study showed that FallSA had a high acceptance level with 80% (12/15) of older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (r=.518, P<.001) and agreement (k=.516, P<.001) with acceptable sensitivity (80.4%) and specificity (71.1%). FallSA also had good reliability (intraclass correlation .948; 95% CI .921-.966) and an internal consistency (α=.948, P<.001). FallSA score demonstrated a moderate to strong discriminative ability in classifying fallers and nonfallers. FallSA had a predictive validity of falls with positive likelihood ratio of 2.27, pooled sensitivity of 82% and specificity of 64%, and area under the curve of 0.802.

CONCLUSIONS

These results suggest that FallSA is a valid and reliable fall risk self-screening tool. Further studies are required to empower and engage older persons or care givers in the use of FallSA to self-screen for falls and thereafter to seek early prevention intervention.

Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning

Assessment of health and physical function using smartphones (mHealth) has enormous potential due to the ubiquity of smartphones and their potential to provide low cost, scalable access to care as well as frequent, objective measurements, outside of clinical environments. Validation of the algorithms and outcome measures used by mHealth apps is of paramount importance, as poorly validated apps have been found to be harmful to patients. Falls are a complex, common and costly problem in the older adult population. Deficits in balance and postural control are strongly associated with falls risk. Assessment of balance and falls risk using a validated smartphone app may lessen the need for clinical assessments which can be expensive, requiring non-portable equipment and specialist expertise. This study reports results for the real-world deployment of a smartphone app for self-directed, unsupervised assessment of balance and falls risk. The app relies on a previously validated algorithm for assessment of balance and falls risk; the outcome measures employed were trained prior to deployment on an independent data set. Results for a sample of 594 smartphone assessments from 147 unique phones show a strong association between self-reported falls history and the falls risk and balance impairment scores produced by the app, suggesting they may be clinically useful outcome measures. In addition, analysis of the quantitative balance features produced seems to suggest that unsupervised, self-directed assessment of balance in the home is feasible.

Usability of a Fall Risk mHealth App for People With Multiple Sclerosis: Mixed Methods Study

BACKGROUND

Multiple sclerosis (MS) is a chronic, neurodegenerative disease that causes a range of motor, sensory, and cognitive symptoms. Due to these symptoms, people with MS are at a high risk for falls, fall-related injuries, and reductions in quality of life. There is no cure for MS, and managing symptoms and disease progression is important to maintain a high quality of life. Mobile health (mHealth) apps are commonly used by people with MS to help manage their health. However, there are limited health apps for people with MS designed to evaluate fall risk. A fall risk app can increase access to fall risk assessments and improve self-management. When designing mHealth apps, a user-centered approach is critical for improving use and adoption.

OBJECTIVE

The purpose of this study is to undergo a user-centered approach to test and refine the usability of the app through an iterative design process.

METHODS

The fall risk app Steady-MS is an extension of Steady, a fall risk app for older adults. Steady-MS consists of 2 components: a 25-item questionnaire about demographics and MS symptoms and 5 standing balance tasks. Data from the questionnaire and balance tasks were inputted into an algorithm to compute a fall risk score. Two iterations of semistructured interviews (n=5 participants per iteration) were performed to evaluate usability. People with MS used Steady-MS on a smartphone, thinking out loud. Interviews were recorded, transcribed, and developed into codes and themes. People with MS also completed the System Usability Scale.

RESULTS

A total of 3 themes were identified: intuitive navigation, efficiency of use, and perceived value. Overall, the participants found Steady-MS efficient to use and useful to learn their fall risk score. There were challenges related to cognitive overload during the balance tasks. Modifications were made, and after the second iteration, people with MS reported that the app was intuitive and efficient. Average System Usability Scale scores were 95.5 in both iterations, representing excellent usability.

CONCLUSIONS

Steady-MS is the first mHealth app for people with MS to assess their overall risk of falling and is usable by a subset of people with MS. People with MS found Steady-MS to be usable and useful for understanding their risk of falling. When developing future mHealth apps for people with MS, it is important to prevent cognitive overload through simple and clear instructions and present scores that are understood and interpreted correctly through visuals and text. These findings underscore the importance of user-centered design and provide a foundation for the future development of tools to assess and prevent scalable falls for people with MS. Future steps include understanding the validity of the fall risk algorithm and evaluating the clinical utility of the app.

Smartphone Apps to Support Falls Rehabilitation Exercise: App Development and Usability and Acceptability Study

Background

Falls have implications for older adults’ health and well-being. Strength and balance interventions significantly reduce the risk of falls. However, patients do not always perform the unsupervised home exercise needed for fall reduction.

Objective

This study aims to develop motivational smartphone apps co-designed with health professionals and older adults to support patients to perform exercise proven to aid fall reduction and to explore the apps’ usability and acceptability with both health professionals and patients.

Methods

There were 3 phases of app development that included analysis, design, and implementation. For analysis, we examined the literature to establish key app components and had a consultation with 12 older adults attending a strength and balance class, exercise instructors, and 3 fall services. For design, we created prototype apps and conducted 2 patient and public involvement workshops, one with 5 health professionals and the second with 8 older adults from an exercise group. The apps were revised based on the feedback. For implementation, we tested them with one fall service and their patients for 3 weeks. Participatory evaluation was used through testing, semistructured interviews, and focus groups to explore acceptability and usability. Focus groups were conducted with the service that tested the apps and two other services. Qualitative data were analyzed using the framework approach.

Results

On the basis of findings from the literature and consultations in the analysis phase, we selected Behavior Change Techniques, such as goal setting, action planning, and feedback on behavior, to be key parts of the app. We developed goals using familiar icons for patients to select and add while self-reporting exercise and decided to develop 2 apps, one for patients (My Activity Programme) and one for health professionals (Motivate Me). This enabled health professionals to guide patients through the goal-setting process, making it more accessible to nontechnology users. Storyboards were created during the design phase, leading to prototypes of “Motivate Me” and “My Activity Programme.” Key changes from the workshops included being able to add more details about the patients’ exercise program and a wider selection of goals within “Motivate Me.” The overall app design was acceptable to health professionals and older adults. In total, 7 patients and 3 health professionals participated in testing in the implementation phase, with interviews conducted with 6 patients and focus groups, with 3 teams (11 health professionals). Barriers, facilitators, and further functionality were identified for both apps, with 2 cross-cutting themes around phone usability and confidence.

Conclusions

The motivational apps were found to be acceptable for older adults taking part in the design stage and patients and health professionals testing the apps in a clinical setting. User-led design is important to ensure that the apps are usable and acceptable.

Web-based home-hazard modification app for falls prevention: the views of those at risk of falling and their carers

Purpose

The purpose of the study is to assess the usability and acceptability of FallCheck, a Web app that allows users to complete home-hazard assessments within their own home, with a group of people at risk of falling and their carers.

Design/methodology/approach

This mixed method study used an online survey followed by semi-structured telephone interviews to collect both qualitative and quantitative data. A Think-Aloud study was used to test usability of the Web app through structured tasks.

Findings

Findings showed that FallCheck was easy to use with few usability issues. The Web app was deemed appropriate to use by people at risk of falling (young or old) or by carers if appropriate. The depth of knowledge provision and breadth of content was acceptable, and many participants reported subsequently making changes to their home environment to reduce their risk of falling. Overall, the majority of participants reported feelings of improved confidence and safety with an increased awareness of fall risks and a reduction in fear of falling at home.

Practical implications

FallCheck has good acceptability and usability with people at risk of falling and their carers and has the potential to improve access to home-hazard assessment and affect behavioural change regarding fall risk hazards and behaviour.

Originality/value

This study describes successful use of an app that may be helpful in identifying home-hazards and making changes to reduce risk of falls, particularly in the absence of occupational therapy intervention and has the potential for integration into falls care pathways.

Co-Creation with Older Adults to Improve User-Experience of a Smartphone Self-Test Application to Assess Balance Function

This co-creation study aimed to develop a smartphone self-test application for balance and leg strength in collaboration between older adults and the research team. The paper describes older participants’ preferences for, and their contribution to, the application design. Technology to assess movements is available in smartphones with built-in sensors, and one of the challenges is to develop a valuable self-test for older adults. The participants contributed to the design of the application’s instructions and user interface. Multiple data collection methods were used: user-test with Think aloud method, mock-ups, homework assignment as co-researcher, audio and video recordings. Qualitative content analysis with a deductive-inductive approach was used, guided by the Optimized Honeycomb model for user experience (UX) as a categorization matrix. The analysis resulted in 17 subcategories within the seven facets of the UX Honeycomb model (findable, accessible, usable, desirable, credible, useful, and valuable), and describes the older participants’ preferences and experiences. The main results were participants’ desire to know why, to get clear and appropriate information, and expectations of the self-test to be useful. It was feasible and valuable to develop the self-test application in co-creation with the intended user-group, in order to get direct feedback and suggestions for the development.

Descriptive Evaluation and Accuracy of a Mobile App to Assess Fall Risk in Seniors: Retrospective Case-Control Study

BACKGROUND

Fall-risk assessment is complex. Based on current scientific evidence, a multifactorial approach, including the analysis of physical performance, gait parameters, and both extrinsic and intrinsic risk factors, is highly recommended. A smartphone-based app was designed to assess the individual risk of falling with a score that combines multiple fall-risk factors into one comprehensive metric using the previously listed determinants.

OBJECTIVE

This study provides a descriptive evaluation of the designed fall-risk score as well as an analysis of the app's discriminative ability based on real-world data.

METHODS

Anonymous data from 242 seniors was analyzed retrospectively. Data was collected between June 2018 and May 2019 using the fall-risk assessment app. First, we provided a descriptive statistical analysis of the underlying dataset. Subsequently, multiple learning models (Logistic Regression, Gaussian Naive Bayes, Gradient Boosting, Support Vector Classification, and Random Forest Regression) were trained on the dataset to obtain optimal decision boundaries. The receiver operating curve with its corresponding area under the curve (AUC) and sensitivity were the primary performance metrics utilized to assess the fall-risk score's ability to discriminate fallers from nonfallers. For the sake of completeness, specificity, precision, and overall accuracy were also provided for each model.

RESULTS

Out of 242 participants with a mean age of 84.6 years old (SD 6.7), 139 (57.4%) reported no previous falls (nonfaller), while 103 (42.5%) reported a previous fall (faller). The average fall risk was 29.5 points (SD 12.4). The performance metrics for the Logistic Regression Model were AUC=0.9, sensitivity=100%, specificity=52%, and accuracy=73%. The performance metrics for the Gaussian Naive Bayes Model were AUC=0.9, sensitivity=100%, specificity=52%, and accuracy=73%. The performance metrics for the Gradient Boosting Model were AUC=0.85, sensitivity=88%, specificity=62%, and accuracy=73%. The performance metrics for the Support Vector Classification Model were AUC=0.84, sensitivity=88%, specificity=67%, and accuracy=76%. The performance metrics for the Random Forest Model were AUC=0.84, sensitivity=88%, specificity=57%, and accuracy=70%.

CONCLUSIONS

Descriptive statistics for the dataset were provided as comparison and reference values. The fall-risk score exhibited a high discriminative ability to distinguish fallers from nonfallers, irrespective of the learning model evaluated. The models had an average AUC of 0.86, an average sensitivity of 93%, and an average specificity of 58%. Average overall accuracy was 73%. Thus, the fall-risk app has the potential to support caretakers in easily conducting a valid fall-risk assessment. The fall-risk score's prospective accuracy will be further validated in a prospective trial.

[Geriatric Trauma Center DGU®: Evaluation of clinical and economic parameters : A pilot study in a german university hospital]

BACKGROUND

Previous studies on orthogeriatric models of care suggest that there is substantial variability in how geriatric care is integrated in the patient management and the necessary intensity of geriatric involvement is questionable.

OBJECTIVE

The aim of the current prospective cohort study was the clinical and economic evaluation of fragility fracture treatment pathways before and after the implementation of a geriatric trauma center in conformity with the guidelines of the German Trauma Society (DGU).

METHODS

A comparison of three different treatment models (6 months each) was performed: A: Standard treatment in Orthopaedic Trauma; B: Special care pathways with improvement of the quality management system and implementation of standard operating procedures; C: Interdisciplinary treatment with care pathways and collaboration with geriatricians (ward round model).

RESULTS

In the 151 examined patients (m/w 47/104; 83.5 (70-100) years; A: n = 64, B: n = 44, C: n = 43) pathways with orthogeriatric comanagement (C) improved frequency of postoperative mobilization (p = 0.021), frequency of osteoporosis prophylaxis (p = 0.001) and the discharge procedure (p = 0.024). In comparison to standard treatment (A), orthogeriatric comanagement (C) was associated with lower rates of mortality (9% vs. 2%; p = 0.147) and cardio-respiratory complications (39% vs. 28%; p = 0.235) by trend. In this context, there were low rates of myocardial infarction (6% vs. 0%), dehydration (6% vs. 0%), cardiac dysrhythmia (8% vs. 0%), pulmonary decompensation (28% vs. 16%), electrolyt dysbalance (34% vs. 19%) and pulmonary edema (11% vs. 2%). Duration of stay in an intensive care unit was 29 h (A) and 18 h (C) respectively (p = 0.205), with consecutive reduction in costs. A sole establishment of a special care pathway for older hip fracture patients (B) showed a lower rate of myocardial infarction (A: 11%, B: 0%, C: 0%; p = 0.035).

CONCLUSION

There was a clear tendency to a better overall result in patients receiving multidisciplinary orthogeriatric treatment using a ward visit model of orthogeriatric comanagement, with lower rates of cardiorespiratory complications and mortality. While special care pathways could reduce the rate of myocardial infarction in hip fracture patients, costs and revenues showed no difference between all care models evaluated. However, patients with hip fracture or periprosthetic fracture represent cohorts at clinical and economic risk as well.

[Evaluation of a simple screening tool for ambulant fall prevention]

BACKGROUND

An individual's risk of falling is generally difficult to detect and it is likely to be underestimated. Thus, preventive measures are challenging and they demand sufficient integration and implementation into aftercare and outpatient management. The Aachen Falls Prevention Scale (AFPS) is a quick and easy tool for patient-driven fall risk assessment. Older adults' risk of falling is identified in a suitable manner and they then have the opportunity to independently assess and monitor their risk of falling.

OBJECTIVES

The aim of the current study was to evaluate the AFPS as a simple screening tool in geriatric trauma patients via the identification of influencing factors, e.g. objective or subjective fall risk, fear of falling (FOF) and demographic data. In this context, we investigated older adults' willingness to take part in special activities concerning fall prevention.

METHODS

Retrospectively, all patients over 70 years of age who received in-hospital fracture treatment between July 2014 and April 2016 were analyzed at a level I trauma center. After identification of 884 patients, participants completed a short questionnaire (47 questions, yes/no, Likert scale) comprising the AFPS. A history of falls in the past year was considered an indicator of a balance disorder. In addition, ambulant patients were invited to participate between July and August 2016.

RESULTS

In total, 201 patients (mean 80.4 years, range 63-97 years) performed a self-assessment based on the AFPS. After steps 1 and 2 of the AFPS had been completed, 95 (47%) participants rated their subjective risk of falling as high (more than 5 points). Of the participants 84 (42%) were objectively classified as "fallers" with significant effects on their AFPS evaluation and rating of their subjective risk of falling. Furthermore, 67% of the participants identified a general practitioner as their main contact person, and 43% of the respondents viewed the AFPS as a beneficial screening tool in fall risk evaluation (8% negative attitudes). Only 12% of the participants could imagine using the AFPS app version as a feasible option.

CONCLUSION

It would be advantageous to pretest at-risk individuals in their environment using a simple self-assessment approach, with the main purpose of identifying potential balance problems. With this approach, cost savings in the healthcare system are possible, combined with a higher health-related quality of life in the geriatric population.

The Aachen Falls Prevention Scale: Multi-Study Evaluation and Comparison

Background

Fall risk assessment is a time-consuming and resource-intensive activity. Patient-driven self-assessment as a preventive measure might be a solution to reduce the number of patients undergoing a full clinical fall risk assessment.

Objective

The aim of this study was (1) to analyze test accuracy of the Aachen Falls Prevention Scale (AFPS) and (2) to compare these results with established fall risk assessment measures identified by a review of systematic reviews.

Methods

Sensitivity, specificity, and receiver operating curves (ROC) of the AFPS were calculated based on data retrieved from 2 independent studies using the AFPS. Comparison with established fall risk assessment measures was made by conducting a review of systematic reviews and corresponding meta-analysis. Electronic databases PubMed, Web of Science, and EMBASE were searched for systematic reviews and meta-analyses that reviewed fall risk assessment measures between the years 2000 and 2018. The review of systematic reviews was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement. The Revised Assessment of Multiple SysTemAtic Reviews (R-AMSTAR) was used to assess the methodological quality of reviews. Sensitivity, specificity, and ROC were extracted from each review and compared with the calculated values of the AFPS.

Results

Sensitivity, specificity, and ROC of the AFPS were evaluated based on 2 studies including a total of 259 older adults. Regarding the primary outcome of the AFPS subjective risk of falling, pooled sensitivity is 57.0% (95% CI 0.467-0.669) and specificity is 76.7% (95% CI 0.694-0.831). If 1 out of the 3 subscales of the AFPS is used to predict a fall risk, pooled sensitivity could be increased up to 90.0% (95% CI 0.824-0.951), whereas mean specificity thereby decreases to 50.0% (95% CI 0.42-0.58). A systematic review for fall risk assessment measures produced 1478 articles during the study period, with 771 coming from PubMed, 530 from Web of Science, and 177 from EMBASE. After eliminating doublets and assessing full text, 8 reviews met the inclusion criteria. All were of sufficient methodological quality (R-AMSTAR score ≥22). A total number of 9 functional or multifactorial fall risk assessment measures were extracted from identified reviews, including Timed Up and Go test, Berg Balance Scale, Performance-Oriented Mobility Assessment, St Thomas’s Risk Assessment Tool in Falling Elderly, and Hendrich II Fall Risk Model. Comparison of these measures with pooled sensitivity and specificity of the AFPS revealed a sufficient quality of the AFPS in terms of a patient-driven self-assessment tool.

Conclusions

It could be shown that the AFPS reaches a test accuracy comparable with that of the established methods in this initial investigation. However, it offers the advantage that the users can perform the self-assessment independently at home without involving trained health care professionals.

Needs Analysis for a Parenting App to Prevent Unintentional Injury in Newborn Babies and Toddlers: Focus Group and Survey Study Among Chinese Caregivers

Background

With the growing popularity of mobile health technology, app-based interventions delivered by smartphone have become an increasingly important strategy toward injury prevention.

Objective

This study aimed to develop a framework supporting the design of an app-based intervention to prevent unintentional injury, targeted for caregivers of Chinese children aged 0 to 6 years.

Methods

A theory-based mixed-method study, including focus groups and Web-based quantitative survey, was performed. Adult caregivers who care for children aged 0 to 6 years and own a smartphone were recruited into 2 sequential stages of research. First, focus groups were conducted among the caregivers at community health care centers and preschools from December 2015 to March 2016. Focus groups (8-10 participants per group) explored awareness, experiences, and opinions of caregivers toward using an app to prevent unintentional injury among children. Second, based on the focus groups findings, a Web-based quantitative survey was designed and distributed to caregivers in November 2016; it collected information on specific needs for the app-based intervention. Thematic analysis and quantitative descriptive analyses were performed.

Results

In total, 12 focus groups were completed, involving 108 caregivers. Most participants expressed a strong desire to learn knowledge and skills about unintentional child injury prevention and held positive attitudes toward app-based interventions. Participants expressed multiple preferences concerning the app-based intervention, including their contents, functions, interactive styles, installation and registration logistics, and privacy protection and information security. Following the focus groups, 1505 caregivers completed a WeChat-based quantitative survey, which generated roughly similar results to those of focus groups and added numerical metrics concerning participants’ preferences on what to learn, when to learn it, and how to learn it. A detailed framework was established involving 5 components: (1) content design, (2) functional design, (3) interactive style, (4) installation and registration logistics, and (5) privacy protection and information security, and 15 specific requirements.

Conclusions

We developed a framework that can be used as a guide to design app-based interventions for parents and caregivers, specifically for unintentional injury prevention of children aged 0 to 6 years.

Older Adult Falls in Emergency Medicine: 2019 Update

"Standing-level falls represent the most frequent cause of trauma-related death in older adults and a common emergency department (ED) presentation. However, these patients rarely receive guideline-directed screening and interventions during or following an episode of care. Reducing injurious falls in an aging society begins with prehospital evaluations and continues through definitive risk assessments and interventions that usually occur after ED care. Although ongoing obstacles to ED-initiated, evidence-based older adult fall-reduction strategies include the absence of a compelling emergency medicine evidence basis, innovations under way include validation of pragmatic screening instruments and incorporation of contemporary technology to improve fall detection rates."

A Fall Risk mHealth App for Older Adults: Development and Usability Study

BACKGROUND

Falls are the leading cause of injury-related death in older adults. Due to various constraints, objective fall risk screening is seldom performed in clinical settings. Smartphones offer a high potential to provide fall risk screening for older adults in home settings. However, there is limited understanding of whether smartphone technology for falls screening is usable by older adults who present age-related changes in perceptual, cognitive, and motor capabilities.

OBJECTIVE

The aims of this study were to develop a fall risk mobile health (mHealth) app and to determine the usability of the fall risk app in healthy, older adults.

METHODS

A fall risk app was developed that consists of a health history questionnaire and 5 progressively challenging mobility tasks to measure individual fall risk. An iterative design-evaluation process of semistructured interviews was performed to determine the usability of the app on a smartphone and tablet. Participants also completed a Systematic Usability Scale (SUS). In the first round of interviews, 6 older adults participated, and in the second round, 5 older adults participated. Interviews were videotaped and transcribed, and the data were coded to create themes. Average SUS scores were calculated for the smartphone and tablet.

RESULTS

There were 2 themes identified from the first round of interviews, related to perceived ease of use and perceived usefulness. While instructions for the balance tasks were difficult to understand, participants found it beneficial to learn about their risk for falls, found the app easy to follow, and reported confidence in using the app on their own. Modifications were made to the app, and following the second round of interviews, participants reported high ease of use and usefulness in learning about their risk of falling. Few differences were reported between using a smartphone or tablet. Average SUS scores ranged from 79 to 84.

CONCLUSIONS

Our fall risk app was found to be highly usable by older adults as reported from interviews and high scores on the SUS. When designing a mHealth app for older adults, developers should include clear and simple instructions and preventative strategies to improve health. Furthermore, if the design accommodates for age-related sensory changes, smartphones can be as effective as tablets. A mobile app to assess fall risk has the potential to be used in home settings by older adults.

Severe Injuries from Low-height Falls in the Elderly Population

BACKGROUND

Falls from low-height can cause severe injuries in the elderly population. This study was conducted to determine characteristics of injuries from low-height falls.

METHODS

We retrospectively review surveillance data on injured patients who presented to six emergency departments from January 2011 to December 2015. Study subjects were divided into severe group and non-severe group based on severity of injury. The general and clinical characteristics were compared between the two groups and analyzed factors related with severe injuries.

RESULTS

Of 1,190 elderly patients, severe group comprised 82 patients (7%). The severe group was 2 years younger than the non-severe group. In the severe group, 61% was men and 34% in the non-severe group. In the non-severe, the injuries more commonly occurred at residential facilities and indoors than those in the severe group. Paid work during injury occurrence was 15%, and the more patients presented with non-alert consciousness in the severe group. The most common regions of major injury were head and neck in the severe group.

CONCLUSION

Paid work, non-alert consciousness, and major injury to head and neck are relating factors to severe injuries in the elderly population.

Application on mobile platform “Idoso Ativo” (Active Aging): exercises for lower limbs combining technology and health

Abstract Introduction: The introduction of a healthy lifestyle for the elderly from regular physical exercise is linked to physical independence and social wellness. The increasing integration of technology, including in the elderly’s health area, extends an innovative and interactive approach towards the specific aspects of aging. Objective: To report the development of the application "Idoso Ativo” (Active Aging) with proposed exercises for the elderly population’s lower limbs. Methods: The study belongs to the type ‘original paper’ which describes the development and accomplishment of the application for the health of the elderly. The study had the participation of an elderly model to perform exercises and video recording. The study was approved by the Research Ethics Committee of UCB and supported by CNPQ. Results: The Software development proposal involved interdisciplinary work for the selection of exercises for posture, balance and gait, development of the application and the use of a specific programming language with presentation of exercises on screens for easy understanding for the elderly public. Conclusion: The application developed can be adopted as a proposal in scientific studies in the physical therapy area and applied as an innovative resource combining health promotion and disease prevention.

Satisfying Product Features of a Fall Prevention Smartphone App and Potential Users' Willingness to Pay: Web-Based Survey Among Older Adults

Background

Prohibiting falls and fall-related injuries is a major challenge for health care systems worldwide, as a substantial proportion of falls occur in older adults who are previously known to be either frail or at high risk for falls. Hence, preventive measures are needed to educate and minimize the risk for falls rather than just minimize older adults’ fall risk. Health apps have the potential to address this problem, as they enable users to self-assess their individual fall risk.

Objective

The objective of this study was to identify product features of a fall prevention smartphone app, which increase or decrease users’ satisfaction. In addition, willingness to pay (WTP) was assessed to explore how much revenue such an app could generate.

Methods

A total of 96 participants completed an open self-selected Web-based survey. Participants answered various questions regarding health status, subjective and objective fall risk, and technical readiness. Seventeen predefined product features of a fall prevention smartphone app were evaluated twice: first, according to a functional (product feature is implemented in the app), and subsequently by a dysfunctional (product feature is not implemented in the app) question. On the basis of the combination of answers from these 2 questions, the product feature was assigned to a certain category (must-be, attractive, one-dimensional, indifferent, or questionable product feature). This method is widely used in user-oriented product development and captures users’ expectations of a product and how their satisfaction is influenced by the availability of individual product features.

Results

Five product features were identified to increase users’ acceptance, including (1) a checklist of typical tripping hazards, (2) an emergency guideline in case of a fall, (3) description of exercises and integrated workout plans that decrease the risk of falling, (4) inclusion of a continuous workout program, and (5) cost coverage by health insurer. Participants’ WTP was assessed after all 17 product features were rated and revealed a median monthly payment WTP rate of €5.00 (interquartile range 10.00).

Conclusions

The results show various motivating product features that should be incorporated into a fall prevention smartphone app. Results reveal aspects that fall prevention and intervention designers should keep in mind to encourage individuals to start joining their program and facilitate long-term user engagement, resulting in a greater interest in fall risk prevention.

Prevalence of Health App Use Among Older Adults in Germany: National Survey

Background

Health apps are increasingly becoming an integral part of health care. Especially in older adults, the self-management of chronic diseases by health apps might become an integral part of health care services.

Objective

The aim of this explorative study was to investigate the prevalence of health app use and related demographic factors, as well as health status among older adults in Germany.

Methods

A nationwide postal survey was conducted. Of the 5000 individuals contacted, a total of 576 participants completed this survey. On the basis of their self-indicated assignment to one of the three predefined user groups (health app users, general app users, and nonusers of apps), participants answered various questions regarding app and health app use, including frequency of use and number of installed apps, demographic factors, and health status.

Results

In total, 16.5% (95/576) used health apps, whereas 37.5% (216/576) indicated only using general apps, and 46.0% (265/576) reported using no apps at all. The number of installed health apps was most frequently reported as between 1 and 5 apps per participant, which were usually used on a weekly basis. The most frequently cited type of health apps were exercise-related ones. Individuals using health apps were found to be younger (MeanmHealth 66.6, SD 4.7) and to have a higher level of technical readiness compared with general app users and nonusers of apps (adjusted odds ratio, AOR=4.02 [95% CI 2.23-7.25] for technical readiness, and AOR=0.905 [95% CI 0.85-0.97] for age). The most frequently mentioned sources of information about apps within the group of health and general app users were family and friends. Identified barriers against the use of health apps were a lack of trust, data privacy concerns, and fear of misdiagnosis.

Conclusions

Health apps are already used by older adults in Germany. The main type of apps used are exercise-related ones. Barriers to and incentives for the use of health apps and associations with health status and users’ demographics were revealed.

Reliability of the Kinematic Steadiness Index during one-leg standing in subjects with recurrent low back pain

PURPOSE

To assess the reliability of standing time and the Kinematic Steadiness Index (KSI) in one-leg standing compared with the Timed Up and Go (TUG) test while considering anthropometric factors in subjects with recurrent low back pain (LBP).

METHODS

Sixty-six individuals participated in the study. The data were collected on two different days, 1 week apart. The KSI of the core spine, using video motion-capture techniques, was based on the relative standing time and relative standstill time. The intraclass correlation coefficient (ICC_2,1) was compared for the reliability between measures. The covariates, such as age, Body Mass Index, and the Oswestry Disability Index (ODI), were analyzed for any interactions based on these measures.

RESULTS

The standing time (t = - 1.01, p = 0.32) and the KSI (t = - 1.70, p = 0.09) were not significantly different between measures. The TUG results were not different between measures (t = 1.01, p = 0.32). The Cronbach's alpha for the standing time was 0.84, for KSI was 0.89, and for TUG was 0.76. The standing time and KSI demonstrated an interaction with age, while the TUG demonstrated an interaction with the ODI score.

CONCLUSIONS

The KSI during one-leg standing could help to develop a practical tool to justify quantity and quality of balance outcome measures, which identify balance deficits and core spine rehabilitation strategies in subjects with recurrent LBP.