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The objective was to analyze predictive variables for falls in older community-dwelling adults who needed walking aids or home help service, to describe the circumstances and consequences of falls and fall injuries, and to describe the activities preceding falls, n = 175, mean age 83 years. Falls were self-reported monthly in a fall calendar and were followed up by a telephone interview. A logistic regression analysis was performed to investigate predictive baseline variables for falls. Injuries were reported in 82 of the 185 fall events. Previous falls and a high level of education had a significant association with falls odds ratios 1.9 (95% CI 1.3-2.7), and 2.7 (95% CI 1.4-5.3). Activities preceding the falls were classified according to the International Classification of Functioning (ICF). Falls and fall injuries were most common while moving around within the home and rising from sitting to standing.

age = 83 years). Measures were physical performance, physical activity level, balance, grip strength, fall-related self-efficacy, fall rate, and fall injury rate. The OEP with and the OEP without MI, with the support of a physical therapist (six home visits and three phone calls), demonstrated no benefits in any of the measures compared with a control group. In this subgroup of pre-frail older adults, more frequent support by personnel may be required to secure efficient intensity and progression in the exercises performed on your own at home.

Background: The goal of user-centered design (UCD) is to understand the users’ perspective and to use that knowledge to shape more effective solutions. The UCD approach provides insight into users’ needs and requirements and thereby improves the design of the developed services. However, involving users in the development process does not guarantee that feedback from different subgroups of users will shape the development in ways that will make the solutions more useful for the entire target user population. Objective: The aim of this study was to describe a protocol for systematic analysis and prioritization of feedback from user subgroups in the usability testing of a digital motivation support for fall-preventive physical activity (PA) interventions in seniors (aged 65 years and older). This protocol can help researchers and developers to systematically exploit feedback from relevant user subgroups in UCD. Methods: Gender, PA level, and level of technology experience have been identified in the literature to influence users’ experience and use of digital support systems for fall-preventive PA interventions in seniors. These 3 key user characteristics were dichotomized and used to define 8 (ie, 23) possible user subgroups. The presented method enables systematic tracking of the user subgroups’ contributions in iterative development. The method comprises (1) compilation of difficulties and deficiencies in the digital applications identified in usability testing, (2) clustering of the identified difficulties and deficiencies, and (3) prioritization of deficiencies to be rectified. Tracking user subgroup representation in the user feedback ensures that the development process is prioritized according to the needs of different subgroups. Mainly qualitative data collection methods are used. Results: A protocol was developed to ensure that feedback from users representing all possible variants of 3 selected key user characteristics (gender, PA level, and level of technology experience) is considered in the iterative usability testing of a digital support for seniors’ PA. The method was applied in iterative usability testing of two digital applications during spring/summer 2018. Results from the study on the users’ experiences and the iterative modification of the digital applications are expected to be published during 2021. Conclusions: Methods for systematic collection, analysis, and prioritization of feedback from user subgroups might be particularly important in heterogenous user groups (eg, seniors). This study can contribute to identifying and improving the understanding of potential differences between user subgroups of seniors in their use and experiences of digital support for fall-preventive PA interventions. This knowledge may be relevant for developing digital support systems that are appropriate, useful, and attractive to users and for enabling the design of digital support systems that target specific user subgroups (ie, tailoring of the support). The protocol needs to be further used and investigated in order to validate its potential value. 

In 2004, Mälardalen University, Sweden, introduced a new undergraduate entry-level physiotherapy program. Program developers constructed the curriculum with behavioral medicine content that reflected the contemporary definition and values of the physiotherapy profession aligning it with current best practices, evidence, and the International Classification of Functioning, Disability, and Health (ICF). The new curriculum conceptualized movement and function as modifiable behaviors in that they reflect behavioral contingencies, perceptions, beliefs, and lifestyle factors as well as pathophysiology and environmental factors. The purpose of this article is to describe how one university accordingly structured its new curriculum and its review. We describe the rationale for the curriculum's behavioral medicinecontent and competencies, its development and implementation, challenges, long-term outcomes, and its related research enterprise. We conclude that physiotherapy practiced by our graduates augments that taught in other programs based on accreditation reviews. With their expanded practice scope, graduates are systematically practicing within the constructs of health and function conceptualized within the ICF. Our intent in sharing our experience is to exemplify one university's initiative to best prepare students with respect to maximizing physiotherapy outcomes as well as establish a dialogue regarding minimum standards of behavioral medicine competencies in physiotherapy education and practice.

This paper investigates seniors' and health care professionals' (HCPs) perceptions on needed contributions and qualities of digital technology-based motivation support for seniors' physical activity (PA). Seniors and HCPs expressed their views in focus groups, which were analyzed separately by inductive content analysis. Similarities and differences in seniors' and HCPs' views were identified through thematic analysis of qualitative results from both focus groups. This article's main findings are that both seniors and HCPs believed digital technology should support and make PA more enjoyable in ways to strengthen seniors' control and well-being. However, seniors emphasized support for social interaction, while HCPs also requested support for increasing seniors' insight into PA and for facilitating their dialogue with seniors. Conclusions to be drawn are that seniors and HPCs shared overall views on digital technology's main contributions but had different perspectives on how those contributions could be obtained. This highlights the importance of the early identification of user groups and exploration of their different needs when developing new solutions. Moreover, seniors' and HCPs' perceptions included aspects relevant for personal motivation, technology acceptance, and PA behavioral change according to self-determination theory, unified theory of acceptance and use of technology, and behavioral change techniques for increasing PA.

Background

Falls are a major threat to the health and independence of seniors. Regular physical activity (PA) can prevent 40% of all fall injuries. The challenge is to motivate and support seniors to be physically active. Persuasive systems can constitute valuable support for persons aiming at establishing and maintaining healthy habits. However, these systems need to support effective behavior change techniques (BCTs) for increasing older adults’ PA and meet the senior users’ requirements and preferences. Therefore, involving users as codesigners of new systems can be fruitful. Prestudies of the user’s experience with similar solutions can facilitate future user-centered design of novel persuasive systems.

Objective

The aim of this study was to investigate how seniors experience using activity monitors (AMs) as support for PA in daily life. The addressed research questions are as follows: (1) What are the overall experiences of senior persons, of different age and balance function, in using wearable AMs in daily life?; (2) Which aspects did the users perceive relevant to make the measurements as meaningful and useful in the long-term perspective?; and (3) What needs and requirements did the users perceive as more relevant for the activity monitors to be useful in a long-term perspective?

Methods

This qualitative interview study included 8 community-dwelling older adults (median age: 83 years). The participants’ experiences in using two commercial AMs together with tablet-based apps for 9 days were investigated. Activity diaries during the usage and interviews after the usage were exploited to gather user experience. Comments in diaries were summarized, and interviews were analyzed by inductive content analysis.

Results

The users (n=8) perceived that, by using the AMs, their awareness of own PA had increased. However, the AMs’ impact on the users’ motivation for PA and activity behavior varied between participants. The diaries showed that self-estimated physical effort varied between participants and varied for each individual over time. Additionally, participants reported different types of accomplished activities; talking walks was most frequently reported. To be meaningful, measurements need to provide the user with a reliable receipt of whether his or her current activity behavior is sufficient for reaching an activity goal. Moreover, praise when reaching a goal was described as motivating feedback. To be useful, the devices must be easy to handle. In this study, the users perceived wearables as easy to handle, whereas tablets were perceived difficult to maneuver. Users reported in the diaries that the devices had been functional 78% (58/74) of the total test days.

Conclusions

Activity monitors can be valuable for supporting seniors’ PA. However, the potential of the solutions for a broader group of seniors can significantly be increased. Areas of improvement include reliability, usability, and content supporting effective BCTs with respect to increasing older adults’ PA.

The purpose of this study was to explore and describe older adults’opinions regarding actions to prevent falls and to analyze differences in theopinions of highly versus less physically active older adults. An open-endedquestion was answered by 262 individuals aged 75 to 98 years living in thecommunity. The answers were analyzed using qualitative content analysis,and differences in the categories were compared between highly and lessphysically active persons. Physical activity was measured according to afive-level scale. The content analysis resulted in eight categories: assistivedevices, avoiding hazards, behavioral adaptive strategies, being physicallyactive, healthy lifestyle, indoor modifications, outdoor modifications, andseeking assistance. Behavioral adaptive strategies were mentioned to agreater extent by highly active people, and indoor modifications were moreoften mentioned by less active older adults. Support for active self-directedbehavioral strategies might be important for fall prevention among lessphysically active older adults.

This study investigated if behavioral factors, treatment with behavioral support, readiness to change, fall self-efficacy, and activity habits could predict long-term adherence to an exercise program. Included in this study were 114 community-dwelling older adults who had participated in one of two home-based exercise interventions. Behavioral factors associated with adherence to the exercise program over 52 weeks were analyzed. The behavioral factors, specifically activity habits at baseline, significantly predicted adherence to the exercise program, with an odds ratio = 3.39, 95% confidence interval [1.38, 8.32], for exercise and an odds ratio = 6.11, 95% confidence interval [2.34, 15.94], for walks. Being allocated to a specific treatment including motivational interviewing was also significantly predictive: odds ratio = 2.47, 95% confidence interval [1.11, 5.49] for exercise adherence. In conclusion, activity habits and exercise in combination with motivational interviewing had a significant association with adherence to the exercise program at a 1-year follow-up.