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BACKGROUND: Health-related quality of life (HRQOL) questionnaires should ideally be adapted to the individual patient and at the same time scores should be directly comparable across patients. This is achievable using a computerised adaptive test (CAT). Basing the CAT on an existing instrument enables measurement within an established HRQOL framework and allows backward-compatibility with studies using the original instrument. Because of these advantages the EORTC Quality of Life Group (QLG) has initiated a project to develop a CAT version of the widely used EORTC QLQ-C30. METHODS: We present the EORTC QLG's strategy for developing a CAT. For each dimension of the EORTC QLQ-C30 our approach includes literature search and conceptualisation, formulation of new items, expert and patient evaluations, field-testing, and psychometric analyses of the items. The strategy is illustrated with the initial results of the development of CAT for physical functioning (PF). RESULTS: We identified 975 PF items in the literature. Of these, 407 items were deemed relevant, i.e. measured one of the PF aspects measured by the QLQ-C30. Based on these items we developed 86 new items. Review by the EORTC CAT-project group reduced this to 66 items. Based on expert and patient evaluations several items were revised and the list was further reduced to 51 items. CONCLUSIONS: Based on the findings for PF, we believe that our approach will generate item pools that are relevant and appropriate for cancer patients. These will form the basis for a backward-compatible CAT assessing the HRQOL dimensions of the EORTC QLQ-C30. [ABSTRACT FROM AUTHOR]

Background: Falls have implications for the health of older adults. Strength and balance interventions significantly reduce the risk of falls; however, patients seldom perform the dose of exercise that is required based on evidence. Health professionals play an important role in supporting older adults as they perform and progress in their exercises. Teleconferencing could enable health professionals to support patients more frequently, which is important in exercise behavior., Objective: This study aims to examine the overall concept and acceptability of teleconferencing for the delivery of falls rehabilitation with health care professionals and older adults and to examine the usability, acceptability, and feasibility of teleconferencing delivery with health care professionals and patients., Methods: There were 2 stages to the research: patient and public involvement workshops and usability and feasibility testing. A total of 2 workshops were conducted, one with 5 health care professionals and the other with 8 older adults from a community strength and balance exercise group. For usability and feasibility testing, we tested teleconferencing both one-to-one and in small groups on a smartphone with one falls service and their patients for 3 weeks. Semistructured interviews and focus groups were used to explore acceptability, usability, and feasibility. Focus groups were conducted with the service that used teleconferencing with patients and 2 other services that received only a demonstration of how teleconferencing works. Qualitative data were analyzed using the framework approach., Results: In the workshops, the health care professionals thought that teleconferencing provided an opportunity to save travel time. Older adults thought that it could enable increased support. Safety is of key importance, and delivery needs to be carefully considered. Both older adults and health care professionals felt that it was important that technology did not eliminate face-to-face contact. There were concerns from older adults about the intrusiveness of technology. For the usability and feasibility testing, 7 patients and 3 health care professionals participated, with interviews conducted with 6 patients and a focus group with the health care team. Two additional teams (8 health professionals) took part in a demonstration and focus group. Barriers and facilitators were identified, with 5 barriers around reliability due to poor connectivity, cost of connectivity, safety concerns linked to positioning of equipment and connectivity, intrusiveness of technology, and resistance to group teleconferencing. Two facilitators focused on the positive benefits of increased support and monitoring and positive solutions for future improvements., Conclusions: Teleconferencing as a way of delivering fall prevention interventions can be acceptable to older adults, patients, and health care professionals if it works effectively. Connectivity, where there is no Wi-Fi provision, is one of the largest issues. Therefore, local infrastructure needs to be improved. A larger usability study is required to establish whether better equipment for delivery improves usability., (©Helen Hawley-Hague, Carlo Tacconi, Sabato Mellone, Ellen Martinez, Lorenzo Chiari, Jorunn Helbostad, Chris Todd. Originally published in JMIR Rehabilitation and Assistive Technology (http://rehab.jmir.org), 12.01.2021.)

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., (©Helen Hawley-Hague, Carlo Tacconi, Sabato Mellone, Ellen Martinez, Claire Ford, Lorenzo Chiari, Jorunn Helbostad, Chris Todd. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 28.09.2020.)

The emerging mHealth applications, incorporating wearable sensors, enables continuous monitoring of physical activity (PA). This study aimed at analyzing the relevance of a multivariate complexity metric in assessment of functional change in younger older adults. Thirty individuals (60⁻70 years old) participated in a 4-week home-based exercise intervention. The Community Balance and Mobility Scale (CBMS) was used for clinical assessment of the participants’ functional balance and mobility performance pre- and post- intervention. Accelerometers worn on the low back were used to register PA of one week before and in the third week of the intervention. Changes in conventional univariate PA metrics (percentage of walking and sedentary time, step counts, mean cadence) and complexity were compared to the change as measured by the CBMS. Statistical analyses (21 participants) showed significant rank correlation between the change as measured by complexity and CBMS (ρ = 0.47, p = 0.03). Smoothing the activity output improved the correlation (ρ = 0.58, p = 0.01). In contrast, change in univariate PA metrics did not show correlations. These findings demonstrate the high potential of the complexity metric being useful and more sensitive than conventional PA metrics for assessing functional changes in younger older adults.

Objective: To investigate the short-term effect of parent-administered physical therapy in the preterm period on motor performance in medically stable infants., Methods: This study was a pragmatic, multicenter, randomized controlled trial including 153 infants born at gestational age ≤32 weeks and randomized to an intervention (n = 74) or a control (n = 79) group. The intervention promoted postural control, head control, and midline orientation. Parents, supervised by a physical therapist, conducted the intervention 10 minutes twice a day for 3 weeks from 34 to 36 weeks' postmenstrual age (PMA). The control group received usual care. The Test of Infant Motor Performance Screening Items was used at baseline and the Test of Infant Motor Performance postintervention (week 37 PMA). Linear mixed models were used to assess change in motor performance between groups from 34 to 37 weeks' PMA by using z scores. Effect size was measured by using Cohen's d., Results: The mean baseline z score was 0.06 (95% confidence interval, -0.48 to 0.60). After the intervention, there was a significant group difference, indicating a change in motor performance from week 34 to 37 PMA favoring the intervention group. The estimated difference in z scores was 0.42 (95% confidence interval, 0.13 to 0.72; P = .005), and the effect size was 0.40., Conclusions: Parent-administered physical therapy conducted before term-equivalent age improved motor performance at 37 weeks' PMA more than conventional care. All infants will be followed up until 2 years' corrected age to evaluate the long-term effects of this brief intervention., (Copyright © 2016 by the American Academy of Pediatrics.)

Automatic fall detection will reduce the consequences of falls in the elderly and promote independent living, ensuring people can confidently live safely at home. Inertial sensor technology can distinguish falls from normal activities. However, <;7% of studies have used fall data recorded from elderly people in real life. The FARSEEING project has compiled a database of real life falls from elderly people, to gain new knowledge about fall events. We have extracted temporal and kinematic parameters to further improve the development of fall detection algorithms. A total of 100 real-world falls were analysed. Subjects with a known fall history were recruited, inertial sensors were attached to L5 and a fall report, following a fall, was used to extract the fall signal. This data-set was examined, and variables were extracted that include upper and lower impact peak values, posture angle change during the fall and time of occurrence. These extracted parameters, can be used to inform the design of fall-detection algorithms for real-world falls detection in the elderly.

Background and Purpose: High-intensity aerobic interval training (AIT) has shown to be beneficial in patients with cardiac and pulmonary diseases. Presumably, patients with stroke also benefit from such treatment. However, the feasibility and potential efficacy of high-intensity AIT should be investigated for patients early after stroke., Methods: This was a single-group, pre-test-post-test, intervention study. The intervention consisted of a 6-week high-intensity AIT programme, performed twice a week. The AIT comprised 4 × 4-minute intervals, at 85-95% of peak heart rate, interrupted by 3-minute active breaks. Adherence to the protocol, compliance and adverse events were registered to assess feasibility. Cardiorespiratory fitness and functional outcomes were assessed before and after the intervention and at 6 and 12 weeks follow-up., Results: Ten men and five women (mean age 70.0 ± 7.7; range 61-85 years) with mild to moderate stroke were included, 3-9 months after onset. One patient was diagnosed with cancer during follow-up. There were three minor events, but no serious adverse events occurred. All patients accomplished all training sessions and reached the 85% intensity level, except one patient who discontinued the last session. The mean peak oxygen uptake showed no significant improvement from pre-treatment, 28.7 ± 3.8 ml kg(-1)  min(-1), to post-treatment, 29.6 ± 3.6 ml kg(-1)  min(-1), p = 0.189, whereas the mean 6-minute walk test improved from 410.7 ± 101.4 m to 461.0 ± 99.6 m, p = 0.001, and the median (interquartile range) Rivermead Motor Assessment Scale improved from 12.0 (11.0-13.0) to 13.0 (11.0-13.0) points, p = 0.100. These improvements continued after the intervention was concluded., Conclusions: This study has shown that high-intensity AIT is feasible for a selected group of stroke patients. However, the training should be accomplished in line with the American College of Sports Medicine guidelines for high-risk populations to ensure safety. The participants achieved a clinically highly significant improvement in walking distance. This intervention should be tested out in a randomized controlled trial to assess if it is superior to other interventions., (Copyright © 2013 John Wiley & Sons, Ltd.)

Cancer treatment and its side effects may cause muscle wasting. Physical exercise has the potential to increase muscle mass and strength and to improve physical function in cancer patients undergoing treatment. A systematic review was conducted to study the effect of physical exercise (aerobic, resistance or a combination of both) on muscle mass and strength in cancer patients with different type and stage of cancer disease. Electronic searches were performed up to January 11th 2012, identifying 16 randomised controlled trials for final data synthesis. The studies demonstrated that aerobic and resistance exercise improves upper and lower body muscle strength more than usual care. Few studies have assessed the effect of exercise on muscle mass. Most studies were performed in patients with early stage breast or prostate cancer. Evidence on the effect of physical exercise on muscle strength and mass in cancer patients with advanced disease is lacking. More exercise studies in patients with advanced cancer and at risk of cancer cachexia are warranted., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Background and Aims: Falls among older people remain a major public health challenge. Body-worn sensors are needed to improve the understanding of the underlying mechanisms and kinematics of falls. The aim of this systematic review is to assemble, extract and critically discuss the information available in published studies, as well as the characteristics of these investigations (fall documentation and technical characteristics)., Methods: The searching of publically accessible electronic literature databases for articles on fall detection with body-worn sensors identified a collection of 96 records (33 journal articles, 60 conference proceedings and 3 project reports) published between 1998 and 2012. These publications were analysed by two independent expert reviewers. Information was extracted into a custom-built data form and processed using SPSS (SPSS Inc., Chicago, IL, USA)., Results: The main findings were the lack of agreement between the methodology and documentation protocols (study, fall reporting and technical characteristics) used in the studies, as well as a substantial lack of real-world fall recordings. A methodological pitfall identified in most articles was the lack of an established fall definition. The types of sensors and their technical specifications varied considerably between studies., Conclusion: Limited methodological agreement between sensor-based fall detection studies using body-worn sensors was identified. Published evidence-based support for commercially available fall detection devices is still lacking. A worldwide research group consensus is needed to address fundamental issues such as incident verification, the establishment of guidelines for fall reporting and the development of a common fall definition.

Objective measurement of real-world fall events by using body-worn sensor devices can improve the understanding of falls in older people and enable new technology to prevent, predict, and automatically recognize falls. However, these events are rare and hence challenging to capture. The FARSEEING (FAll Repository for the design of Smart and sElf-adapaive Environments prolonging INdependent livinG) consortium and associated partners strongly argue that a sufficient dataset of real-world falls can only be acquired through a collaboration of many research groups. Therefore, the major aim of the FARSEEING project is to build a meta-database of real-world falls. To establish this meta-database, standardization of data is necessary to make it possible to combine different sources for analysis and to guarantee data quality. A consensus process was started in January 2012 to propose a standard fall data format, involving 40 experts from different countries and different disciplines working in the field of fall recording and fall prevention. During a web-based Delphi process, possible variables to describe participants, falls, and fall signals were collected and rated by the experts. The summarized results were presented and finally discussed during a workshop at the 20th Conference of the International Society of Posture and Gait Research 2012, in Trondheim, Norway. The consensus includes recommendations for a fall definition, fall reporting (including fall reporting frequency, and fall reporting variables), a minimum clinical dataset, a sensor configuration, and variables to describe the signal characteristics.

This study evaluates the role of postterm age at assessment and the use of one or two video recordings for the detection of fidgety movements (FMs) and prediction of cerebral palsy (CP) using computer vision software. Recordings between 9 and 17 weeks postterm age from 52 preterm and term infants (24 boys, 28 girls; 26 born preterm) were used. Recordings were analyzed using computer vision software. Movement variables, derived from differences between subsequent video frames, were used for quantitative analysis. Sensitivities, specificities, and area under curve were estimated for the first and second recording, or a mean of both. FMs were classified based on the Prechtl approach of general movement assessment. CP status was reported at 2 years. Nine children developed CP of whom all recordings had absent FMs. The mean variability of the centroid of motion (CSD) from two recordings was more accurate than using only one recording, and identified all children who were diagnosed with CP at 2 years. Age at assessment did not influence the detection of FMs or prediction of CP. The accuracy of computer vision techniques in identifying FMs and predicting CP based on two recordings should be confirmed in future studies.

Falls are by far the leading cause of fractures and accidents in the home environment. The current Cochrane reviews and other systematic reviews report on more than 200 intervention studies about fall prevention. A recent meta-analysis has summarized the most important risk factors of accidental falls. However, falls and fall-related injuries remain a major challenge. One novel approach to recognize, analyze, and work better toward preventing falls could be the differentiation of the fall event into separate phases. This might aid in reconsidering ways to design preventive efforts and diagnostic approaches. From a conceptual point of view, falls can be separated into a pre-fall phase, a falling phase, an impact phase, a resting phase, and a recovery phase. Patient and external observers are often unable to give detailed comments concerning these phases. With new technological developments, it is now at least partly possible to examine the phases of falls separately and to generate new hypotheses.The article describes the practicality and the limitations of this approach using body-fixed sensor technology. The features of the different phases are outlined with selected real-world fall signals.

Several methods derived from nonlinear time series analysis have been suggested to quantify stability in human gait kinematics. One of these methods is the definition of the maximum finite time Lyapunov exponent (λ) that quantifies how the system responds to infinitesimal perturbations. However, there are fundamental limitations to the conventional definition of λ for gait kinematics. First, exponential increase in initial perturbations cannot be assumed since real-life perturbations of gait kinematics are finite sized. Second, the transitions between single and double support phase within each stride cycle define two distinct dynamical regimes that may not be captured by a single λ. The present article presents a new method to quantify intra-stride changes λ(t) in local dynamical stability and employs the method to 3D lower extremity gait kinematics in 10 healthy adults walking on a treadmill at 3 different speeds. All participants showed an intra-stride change in λ(t) in the transition between single and double support phase. The intra-stride change reflected an both a increase and decrease in λ(t) at heel strike and toe off, respectively, with increased gait speed. Furthermore, a close relationship was found between the intra-stride change in standard deviation of foot velocity in the anterior-posterior direction and the intra-stride change of the initial perturbations. The present results indicate that local dynamical stability has gait phase-dependent changes that are not identified by conventional computation of a single λ., (Copyright © 2012 Elsevier Ltd. All rights reserved.)

The present article investigates gait stability of healthy older persons during weight transfer. Ten healthy older persons and ten younger persons walked 10 min each on a treadmill at 3 different gait speeds. The intra-stride change in gait stability was defined by the local divergence exponent λ(t) estimated by a newly developed method. The intra-stride changes in λ(t) during weight transfer were identified by separating each stride into a single and double support phase. The intra-stride changes in λ(t) were also compared to changes in the variation of the gait kinematics, i.e., SD(t). The healthy older persons walked at the same preferred walking speed as the younger persons. However, they exhibited significantly larger λ(t) (p<0.001) during weight transfer in the double support phase. Local divergence was closely related to intra-stride changes in SD(t) of the feet in the anterior-posterior direction. Furthermore, a high correlation was found between local divergence and the variation in step length and step width for both older (R>0.67, p<0.05) and younger persons (R>0.67, p<0.05). The present results indicate that the gait kinematics of older adults are more dynamical unstable during the weight transfer compared to younger persons. Furthermore, a close relationship exists between intra-stride changes in dynamical stability and variation in step length and step width. Further work will validate the results of the present study using real-life perturbations of the gait kinematics of both younger and older adults., (Published by Elsevier Ltd.)

Purpose: To explore the relationship between prefracture sociodemographic and health characteristics, basic activities of daily living, instrumental activities of daily living and perceived health 3 months after a hip fracture aged 65 or older., Methods: Age, sex, living alone or not, use of walking aids and whether they had experienced another fall during the previous 6 months, were recorded in hospital and at a three-month follow-up. A total of 277 patients were included. The Barthel Index, the Nottingham Extended ADL Index, the Short Form-12 questionnaire, and the Mini Mental State Examination were used., Results: Prefracture use of a walking aid outdoors was a predictor of postfracture dependency in basic activities of daily living: odds ratio (OR) 2.0, 95% confidence intervals (CI 1.1-3.6), reduced score in instrumental activities of daily living (OR 1.8; 95% CI 1.0-3.2) and reduced perceived physical health (p = 0.04). Prefracture instrumental activity of daily living was a predictor for dependency in basic activities of daily living (OR 3.3; 95% CI 1.7-6.3). Cognitive dysfunction was a risk factor for dependency in basic activities of daily living (OR 0.1; 95% CI 0.01-0.7)., Conclusions: Prefracture use of outdoor walking aids, perceived physical health, cognitive function, instrumental activity of daily living and female gender were all predictors explaining the three-month outcomes for basic activities of daily living and instrumental activity of daily living.

Purpose: Computerized adaptive test (CAT) methods, based on item response theory (IRT), enable a patient-reported outcome instrument to be adapted to the individual patient while maintaining direct comparability of scores. The EORTC Quality of Life Group is developing a CAT version of the widely used EORTC QLQ-C30. We present the development and psychometric validation of the item pool for the first of the scales, physical functioning (PF)., Methods: Initial developments (including literature search and patient and expert evaluations) resulted in 56 candidate items. Responses to these items were collected from 1,176 patients with cancer from Denmark, France, Germany, Italy, Taiwan, and the United Kingdom. The items were evaluated with regard to psychometric properties., Results: Evaluations showed that 31 of the items could be included in a unidimensional IRT model with acceptable fit and good content coverage, although the pool may lack items at the upper extreme (good PF). There were several findings of significant differential item functioning (DIF). However, the DIF findings appeared to have little impact on the PF estimation., Conclusions: We have established an item pool for CAT measurement of PF and believe that this CAT instrument will clearly improve the EORTC measurement of PF.