Mixed methods, single case design, feasibility trial of a motivational conversational agent for rehabilitation for adults with traumatic brain injury.

OBJECTIVE: Rehabilitation for adults with traumatic brain injury (TBI) incorporates client-centred goal-setting and motivational support to achieve goals. However, face-to-face rehabilitation is time-limited. New therapy approaches which leverage care are warranted. Conversational agents (CAs) offer a human-computer interface with which a person can converse. This study tested the feasibility, usability and acceptability of using a novel CA - RehabChat - alongside brain injury rehabilitation. DESIGN: Mixed methods, single case design, feasibility pilot trial. SETTING: Ambulatory and community brain injury rehabilitation. PARTICIPANTS: Adults with TBI receiving brain injury rehabilitation and clinicians providing this care. INTERVENTION: Following 1:1 training, client-clinician dyads used RehabChat for two weeks alongside usual care. MAIN MEASURES: Pre-post clinical measures (Motivation for Traumatic Brain Injury Rehabilitation Questionnaire, Rehabilitation Therapy Engagement Scale, Brain Injury Rehabilitation Trust Motivation Questionnaire-Relative, Brain Injury Rehabilitation Trust Motivation Questionnaire-Self) repeated measures (Hospital Anxiety and Depression Scale, researcher-developed wellbeing screening questions); and post-intervention (System Usability Scale (SUS), semi-structured 1:1 interview). RESULTS: Six participants (two clients and four clinicians) completed training. Two client-clinician dyads completed the intervention. Two other clinicians used RehabChat in a mock client-clinician session. SUS scores indicated good usability. Client well-being did not deteriorate. No adverse events were experienced. Interviews indicated RehabChat was feasible, acceptable and easy to use; and supported motivation, goal-setting and completing practice activities. CONCLUSIONS: RehabChat was feasible and acceptable to use alongside usual ambulatory and community brain injury rehabilitation, had good usability and supported client needs. Further testing of RehabChat with a larger cohort for longer duration is warranted.

The telemedicine community readiness model-successful telemedicine implementation and scale-up.

To successfully scale-up telemedicine initiatives (TIs), communities play a crucial role. To empower communities fulfilling this role and increase end users' acceptance of TIs, support tools (from now on entitled artifacts) are needed that include specific measures to implement and scale up telemedicine. Addressing this need, the article introduces the Telemedicine Community Readiness Model (TCRM). The TCRM is designed to help decision-makers in communities to create a favorable environment that facilitates the implementation and scale-up of TIs. The TCRM is a practical tool to assess communities' readiness to implement TIs and identify aspects to improve this readiness. The development process follows a design-science procedure, which integrates literature reviews and semi-structured expert interviews to justify and evaluate design decisions and the final design. For researchers, the paper provides insights into factors that influence telemedicine implementation and scale-up (descriptive role of knowledge) on the community level. For practitioners, it provides a meaningful tool to support the implementation and scale-up of TIs (prescriptive role of knowledge). This should help to realize the potential of telemedicine solutions to increase access to healthcare services and their quality.

Older adults' community participation, physical activity, and social interactions during and following COVID-19 restrictions in Australia: a mixed methods approach.

BACKGROUND: With the increasing age of the global population, key components of healthy ageing including community, physical, and social participation continue to gain traction. However, management of the COVID-19 pandemic aimed to protect older adults and reduce the spread of the virus, this restricted community participation and reduced the opportunities for social interaction. METHODS: This mixed methods study investigates community dwelling older adults' community participation; physical activity and social interaction prior to, during, and following the COVID-19 lockdown in Adelaide, Australia. Twenty-six community dwelling older adults were monitored over three time-points between November 2018 and October 2020, with Global Positioning Systems, accelerometry and self-reported diaries. In addition, nineteen participants completed semi-structured interviews. RESULTS: Community participation varied across the three time points, with significant reduction in the number of trips taken out-of-home (p = 0.021), social interactions (p = 0.001) and sleep quality (p = 0.008) during restrictions. Five themes were identified to explain personal experiences of community participation during restrictions: (1) Reframing of meaning, (2) Redefining to maintain activities, (3) Revision of risk, (4) Reflection and renewal and (5) Future planning. CONCLUSION: During COVID-19 the physical and social activities of community dwelling older adults changed. Services that support older adults to adapt their activities   , considering their capacities and preferences, to facilitate community participation are required.

Design, development, and use of conversational agents in rehabilitation for adults with brain-related neurological conditions: a scoping review.

OBJECTIVE: The objective of this review was to identify how conversational agents are designed and used in rehabilitation for adults with brain-related neurological conditions. INTRODUCTION: Adults with brain-related neurological conditions experience varied cognitive and functional challenges that can persist long term. However, rehabilitation services are time- and resource-limited, and novel rehabilitation approaches are warranted. Conversational agents provide a human-computer interface with which the user can converse. A conversational agent can be designed to meet specific user needs, such as rehabilitation and support. INCLUSION CRITERIA: Studies focused on the design and use of conversational agents for rehabilitation for people aged 18 years or older with brain-related neurological conditions were considered for inclusion. Eligible publication types included peer-reviewed publications (quantitative, qualitative, and/or mixed methods study designs; research protocols; peer-reviewed expert opinion papers; clinical studies, including pilot trials; systematic or scoping reviews), full conference papers, and master's or PhD theses. Eligible types of research included prototype development, feasibility testing, and clinical trials. METHODS: Online databases, including MEDLINE, Scopus, ProQuest (all databases), Web of Science, and gray literature sources were searched with no date limit. Only English publications were considered due to a lack of resourcing available for translations. Title and abstract screening and full-text review were conducted by two independent reviewers. Data extraction was shared by three independent reviewers. The data extraction instrument was iteratively refined to meet the requirements of all included papers, and covered details for technological aspects and the clinical context. Results are presented narratively and in tabular format, with emphasis on participants, concept and context, and data extraction instrument components. RESULTS: Eleven papers were included in the review, which represented seven distinct conversational agent prototypes. Methodologies included technology description (n = 9) and initial user testing (n = 6). The intended clinical cohorts for the reported conversational agents were people with dementia (n = 5), Parkinson disease (n = 2), stroke (n = 1), traumatic brain injury (n = 1), mixed dementia and mild cognitive impairment (n = 1), and mixed dementia and Parkinson disease (n = 1). Two studies included participants who were healthy or otherwise from the general community. The design of the conversational agents considered technology aspects and clinical purposes. Two conversational agent prototypes incorporated a speaking humanoid avatar as reported in five of the papers. Topics of conversation focused on subjects enjoyable to the user (life history, hobbies, where they lived). The clinical purposes reported in the 11 papers were to increase the amount of conversation the user has each day (n = 4), reminiscence (n = 2), and one study each for anxiety management and education, Parkinson disease education, to obtain and analyze a recording of the user's voice, to monitor well-being, and to build rapport before providing daily task prompts. One study reported clinician oversight of the conversational agent use. The studies had low sample sizes (range: 1-33). No studies undertook effectiveness testing. Outcome measures focused on usability, language detection and production, and technological performance. No health-related outcomes were measured. No adverse events were reported, and only two studies reported safety considerations. CONCLUSIONS: Current literature reporting the design and use of conversational agents for rehabilitation for adults with brain-related neurological conditions is heterogeneous and represents early stages of conversational agent development and testing. We recommend, as per our customized data extraction instrument, that studies of conversational agents for this population clearly define technical aspects, methodology for developing the conversation content, recruitment methods, safety issues, and requirements for clinician oversight.

Machine learning models for identifying pre-frailty in community dwelling older adults.

BACKGROUND: There is increasing evidence that pre-frailty manifests as early as middle age. Understanding the factors contributing to an early trajectory from good health to pre-frailty in middle aged and older adults is needed to inform timely preventive primary care interventions to mitigate early decline and future frailty. METHODS: A cohort of 656 independent community dwelling adults, aged 40-75 years, living in South Australia, undertook a comprehensive health assessment as part of the Inspiring Health cross-sectional observational study. Secondary analysis was completed using machine learning models to identify factors common amongst participants identified as not frail or pre-frail using the Clinical Frailty Scale (CFS) and Fried Frailty Phenotype (FFP). A correlation-based feature selection was used to identify factors associated with pre-frailty classification. Four machine learning models were used to derive the prediction models for classification of not frail and pre-frail. The class discrimination capability of the machine learning algorithms was evaluated using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, precision, F1-score and accuracy. RESULTS: Two stages of feature selection were performed. The first stage included 78 physiologic, anthropometric, environmental, social and lifestyle variables. A follow-up analysis with a narrower set of 63 variables was then conducted with physiologic factors associated with the FFP associated features removed, to uncover indirect indicators connected with pre-frailty. In addition to the expected physiologic measures, a range of anthropometric, environmental, social and lifestyle variables were found to be associated with pre-frailty outcomes for the cohort. With FFP variables removed, machine learning (ML) models found higher BMI and lower muscle mass, poorer grip strength and balance, higher levels of distress, poor quality sleep, shortness of breath and incontinence were associated with being classified as pre-frail. The machine learning models achieved an AUC score up to 0.817 and 0.722 for FFP and CFS respectively for predicting pre-frailty. With feature selection, the performance of ML models improved by up to + 7.4% for FFP and up to + 7.9% for CFS. CONCLUSIONS: The results of this study indicate that machine learning methods are well suited for predicting pre-frailty and indicate a range of factors that may be useful to include in targeted health assessments to identify pre-frailty in middle aged and older adults.

Implementation and prospective evaluation of the Country Heart Attack Prevention model of care to improve attendance and completion of cardiac rehabilitation for patients with cardiovascular diseases living in rural Australia: a study protocol.

INTRODUCTION: Despite extensive evidence of its benefits and recommendation by guidelines, cardiac rehabilitation (CR) remains highly underused with only 20%-50% of eligible patients participating. We aim to implement and evaluate the Country Heart Attack Prevention (CHAP) model of care to improve CR attendance and completion for rural and remote participants. METHODS AND ANALYSIS: CHAP will apply the model for large-scale knowledge translation to develop and implement a model of care to CR in rural Australia. Partnering with patients, clinicians and health service managers, we will codevelop new approaches and refine/expand existing ones to address known barriers to CR attendance. CHAP will codesign a web-based CR programme with patients expanding their choices to CR attendance. To increase referral rates, CHAP will promote endorsement of CR among clinicians and develop an electronic system that automatises referrals of in-hospital eligible patients to CR. A business model that includes reimbursement of CR delivered in primary care by Medicare will enable sustainable access to CR. To promote CR quality improvement, professional development interventions and an accreditation programme of CR services and programmes will be developed. To evaluate 12-month CR attendance/completion (primary outcome), clinical and cost-effectiveness (secondary outcomes) between patients exposed (n=1223) and not exposed (n=3669) to CHAP, we will apply a multidesign approach that encompasses a prospective cohort study, a pre-post study and a comprehensive economic evaluation. ETHICS AND DISSEMINATION: This study was approved by the Southern Adelaide Clinical Human Research Ethics Committee (HREC/20/SAC/78) and by the Department for Health and Wellbeing Human Research Ethics Committee (2021/HRE00270), which approved a waiver of informed consent. Findings and dissemination to patients and clinicians will be through a public website, online educational sessions and scientific publications. Deidentified data will be available from the corresponding author on reasonable request. TRIAL REGISTRATION NUMBER: ACTRN12621000222842.

Chair design for older immobile people: Comparison of pressure mapping and manual handling outcomes.

The number of older adults unable to transfer or ambulate independently is increasing. High support chairs enable people experiencing loss of mobility to be mobile, but current chair designs are associated with global functional loss and pressure ulcers. This pilot study compared the functionality of a traditional design high support chair to a new design of motorised high support chair: 1) a motion laboratory study compared joint angles and pressure at the hip, knee, ankle, elbow and spine when pushing each chair, and 2) a pressure mapping study compared the interface pressure when older people with limited mobility used the chairs. Significant reduction in joint angles for the person pushing the chair (degree difference range -3.6 to 14.2) and decreased seated pressure (w/kg difference range -0.2 to 2.1) for the seated user were identified for the motorised chair. Longitudinal investigations are required to determine if the significant differences identified in this pilot study result in less manual handling injuries and pressure areas.

Integrating community participation in the transition of older adults from hospital to home: a scoping review.

INTRODUCTION: Benefits of community participation and physical activity for the health and wellbeing of older adults are well documented. This review aims to answer the question; "How is community participation considered for older adults in the transition from hospital to home?" MATERIALS AND METHODS: This scoping review searched key databases using subject headings and keywords. Two independent reviewers selected studies based on a systematic procedure. Inclusion criteria were adults aged ≥60 years, transitioning from hospital to home, reporting on community participation, inclusive of leisure activities, social activities, and physical activity. RESULTS: Of 2206 initial unique articles, 19 met inclusion criteria. Articles covered a range of diagnoses, most frequently stroke, hip replacement, or fracture. Numerous measures of community participation were reported, identifying "low" and "reduced" community participation in ten studies. Measures of physical activity, health-related quality of life, sleep quality, and loneliness were variable. Five studies reported interventions and four reported improved components of community participation. Numerous barriers to community participation were identified, with recommendations for future transition care services considered. CONCLUSION: There are considerable barriers to promoting community participation in transition care services for older people. Older adults need information to prepare for returning home from hospital and to regain valued leisure and social activities for health-related quality of life.IMPLICATIONS FOR REHABILITATIONCommunity participation is an important component of healthy ageing which health professionals should consider beyond discharge.Levels of mobility and endurance should be considered in terms of facilitating community participation for older adults.Transition care services should provide adequate information to prepare individuals expectations of returning home following hospital stay, whilst attempting to maintain valued leisure and social activities.

Defining Nursing Informatics: A Narrative Review.

Healthcare has experienced rapid transformation with the development of digital technologies which aim to make healthcare safer and more efficient. In response, health informatics has evolved, including nursing informatics, which integrates nursing, information and communication technologies (ICT) and professional knowledge to improve patient outcomes. New language has developed to describe informatics and its processes; however, this has generally been poorly understood. This paper will describe current definitions of nursing informatics from three different healthcare contexts: Australia, the United States of America and Canada, to identify the similarities and differences between these definitions and to summarise the distinct bodies of knowledge described by each country. These countries have amongst the oldest definition attempts in the literature. A pragmatic approach was taken in this narrative review, working forward from historic references and backwards from recent references extracted from published health and nursing informatics literature.

Protocol of a parallel group Randomized Control Trial (RCT) for Mobile-assisted Medication Adherence Support (Ma-MAS) intervention among Tuberculosis patients.

BACKGROUND: Non-adherence to Tuberculosis (TB) medication is a serious threat to TB prevention and control programs, especially in resource-limited settings. The growth of the popularity of mobile phones provides opportunities to address non-adherence, by facilitating direct communication more frequently between healthcare providers and patients through SMS texts and voice phone calls. However, the existing evidence is inconsistent about the effect of SMS interventions on TB treatment adherence. Such interventions are also seldom developed based on appropriate theoretical foundations. Therefore, there is a reason to approach this problem more rigorously, by developing the intervention systematically with evidence-based theory and conducting the trial with strong measurement methods. METHODS: This study is a single-blind parallel-group design individual randomized control trial. A total of 186 participants (93 per group) will be individually randomized into one of the two groups with a 1:1 allocation ratio by a computer-generated algorithm. Group one (intervention) participants will receive daily SMS texts and weekly phone calls concerning their daily medication intake and medication refill clinic visit reminder and group two (control) participants will receive the same routine standard treatment care as the intervention group, but no SMS text and phone calls. All participants will be followed for two months of home-based self-administered medication during the continuation phases of the standard treatment period. Urine test for the presence of isoniazid (INH) drug metabolites in urine will be undertaken at the random point at the fourth and eighth weeks of intervention to measure medication adherence. Medication adherence will also be assessed by self-report measurements using the AIDS Clinical Trial Group adherence (ACTG) and Visual Analogue Scales (VAS) questionnaires, and clinic appointment attendance registration. Multivariable regression model analysis will be employed to assess the effect of the Ma-MAS intervention at a significance level of P-value < 0.05 with a 95% confidence interval. DISCUSSION: For this trial, a mobile-assisted medication adherence intervention will first be developed systematically based on the Medical Research Council framework using appropriate behavioural theory and evidence. The trial will then evaluate the effect of SMS texts and phone calls on TB medication adherence. Evidence generated from this trial will be highly valuable for policymakers, program managers, and healthcare providers working in Ethiopia and beyond. TRIAL REGISTRATION: The trial is registered in the Pan-Africa Clinical Trials Registry with trial number PACTR202002831201865.

A Systematic Review of Machine Learning for Assessment and Feedback of Treatment Fidelity / Revisión sistemática del aprendizaje automático para la evaluación y feedback de la fidelidad al tratamiento

Many psychological treatments have been shown to be cost-effective and efficacious, as long as they are implemented faithfully. Assessing fidelity and providing feedback is expensive and time-consuming. Machine learning has been used to assess treatment fidelity, but the reliability and generalisability is unclear. We collated and critiqued all implementations of machine learning to assess the verbal behaviour of all helping professionals, with particular emphasis on treatment fidelity for therapists. We conducted searches using nine electronic databases for automated approaches of coding verbal behaviour in therapy and similar contexts. We completed screening, extraction, and quality assessment in duplicate. Fifty-two studies met our inclusion criteria (65.3% in psychotherapy). Automated coding methods performed better than chance, and some methods showed near human-level performance; performance tended to be better with larger data sets, a smaller number of codes, conceptually simple codes, and when predicting session-level ratings than utterance-level ones. Few studies adhered to best-practice machine learning guidelines. Machine learning demonstrated promising results, particularly where there are large, annotated datasets and a modest number of concrete features to code. These methods are novel, cost-effective, scalable ways of assessing fidelity and providing therapists with individualised, prompt, and objective feedback. (AU)

Se ha puesto de manifiesto que muchos tratamientos psicológicos tienen un coste efectivo y son eficaces siempre que se apliquen con fidelidad. La evaluación de esta y el feedback son caros y exigen mucho tiempo. El aprendizaje automático se ha utilizado para evaluar la fidelidad al tratamiento, aunque su fiabilidad y capacidad de generalización no estén claras. Recopilamos y analizamos todas las aplicaciones de aprendizaje automático con el fin de evaluar el comportamiento verbal de todos los profesionales de ayuda, con el acento particular en la fidelidad al tratamiento de los terapeutas. Llevamos a cabo búsquedas en nueve bases de datos electrónicas para enfoques automáticos de codificación de comportamiento verbal en terapia y contextos semejantes. Llevamos a cabo el cribado, la extracción y la evaluación de la calidad por duplicado. Cincuenta y dos estudios cumplían nuestros criterios de inclusión (el 65.3% en psicoterapia). Los métodos de codificación automática resultaban mejor que el azar y algunos de ellos mostraban un desempeño casi al nivel humano, que tendía a ser mejor con conjuntos más grandes de datos, un número de códigos menor, códigos conceptualmente simples y cuando predecían índices al nivel de sesión que los de tipo declaración. Escasos estudios cumplían las directrices de buena praxis en aprendizaje automático. Este presentó unos resultados alentadores, sobre todo donde había conjuntos de datos grandes y anotados y un escaso número de características concretas que codificar, modos expansibles de evaluar la fidelidad y facilitar a los terapeutas un feedback individualizado, rápido y objetivo. (AU)

Commercially Available Apps to Support Healthy Family Meals: User Testing of App Utility, Acceptability, and Engagement.

BACKGROUND: Parents juggling caregiving and paid employment encounter a range of barriers in providing healthy food to their families. Mobile apps have the potential to help parents in planning, purchasing, and preparing healthy family food. The utility and acceptability of apps for supporting parents are unknown. User perspectives of existing technology, such as commercially available apps, can guide the development of evidence-based apps in the future. OBJECTIVE: This study aims to determine the feasibility of existing commercially available apps for supporting the healthy food provision practices of working parents. METHODS: Working parents (N=133) were recruited via the web and completed a 10-item Capability, Opportunity, Motivation, and Behavior (COM-B) self-evaluation survey assessing their needs in relation to the provision of healthy family meals. A total of 5 apps were selected for testing, including a meal planning app, recipe app, recipe manager app, family organizer app, and barcode scanning app. Survey items were mapped to app features, with a subsample of parents (67/133, 50.4%) allocated 2 apps each to trial simultaneously over 4 weeks. A semistructured interview exploring app utility and acceptability and a web-based survey, including the System Usability Scale and the user version of the Mobile App Rating Scale, followed app testing. The interview data were analyzed using a theoretical thematic approach. RESULTS: Survey participants (N=133; mean age 34 years, SD 4 years) were mainly mothers (130/133, 97.7%) and partnered (122/133, 91.7%). Participants identified a need for healthy recipes (109/133, 82% agreed or strongly agreed) and time for food provision processes (107/133, 80.5%). Engagement quality was the lowest rated domain of the user version of the Mobile App Rating Scale across all 5 apps (mean score per app ranging from 3.0 to 3.7 out of a maximum of 5). The family organizer, requiring a high level of user input, was rated the lowest for usability (median 48, IQR 34-73). In the interviews, participants weighed the benefits of the apps (ie, time saving) against the effort involved in using them in determining their acceptability. Organization was a subtheme emerging from interviews, associated with the use of meal planners and shopping lists. Meal planners and shopping lists were used in time, while behavior was occurring. CONCLUSIONS: Meal planning apps and features promoting organization present feasible, time-saving solutions to support healthy food provision practices. Attention must be paid to enhancing app automation and integration, as well as recipe and nutrition content, to ensure that apps do not add to the time burden of food provision and are supportive of healthy food provision behavior in time.

Predicting Australian Adults at High Risk of Cardiovascular Disease Mortality Using Standard Risk Factors and Machine Learning.

Effective cardiovascular disease (CVD) prevention relies on timely identification and intervention for individuals at risk. Conventional formula-based techniques have been demonstrated to over- or under-predict the risk of CVD in the Australian population. This study assessed the ability of machine learning models to predict CVD mortality risk in the Australian population and compare performance with the well-established Framingham model. Data is drawn from three Australian cohort studies: the North West Adelaide Health Study (NWAHS), the Australian Diabetes, Obesity, and Lifestyle study, and the Melbourne Collaborative Cohort Study (MCCS). Four machine learning models for predicting 15-year CVD mortality risk were developed and compared to the 2008 Framingham model. Machine learning models performed significantly better compared to the Framingham model when applied to the three Australian cohorts. Machine learning based models improved prediction by 2.7% to 5.2% across three Australian cohorts. In an aggregated cohort, machine learning models improved prediction by up to 5.1% (area-under-curve (AUC) 0.852, 95% CI 0.837-0.867). Net reclassification improvement (NRI) was up to 26% with machine learning models. Machine learning based models also showed improved performance when stratified by sex and diabetes status. Results suggest a potential for improving CVD risk prediction in the Australian population using machine learning models.

How Australian Health Care Services Adapted to Telehealth During the COVID-19 Pandemic: A Survey of Telehealth Professionals.

Background: In Australia, telehealth services were used as an alternative method of health care delivery during the COVID-19 pandemic. Through a realist analysis of a survey of health professionals, we have sought to identify the underlying mechanisms that have assisted Australian health services adapt to the physical separation between clinicians and patients. Methods: Using a critical realist ontology and epistemology, we undertook an online survey of health professionals subscribing to the Australian Telehealth Society newsletter. The survey had close- and open-ended questions, constructed to identify contextual changes in the operating environment for telehealth services, and assess the mechanisms which had contributed to these changes. We applied descriptive and McNemar's Chi-square analysis for the close-ended component of the survey, and a reflexive thematic analysis approach for the open-ended questions which were framed within the activity based funding system which had previously limited telehealth services to regional Australia. Results: Of the 91 respondents most (73%) reported a higher volume of telephone-based care since COVID and an increase in use of video consultations (60% of respondents). Respondents felt that the move to provide care using telehealth services had been a "forced adoption" where clinicians began to use telehealth services (often for the first time) to maintain health care. Respondents noted significant changes in managerial and medical culture which supported the legitimisation of telehealth services as a mode of access to care. The support of leaders and the use personal and organisational networks to facilitate the operation of telehealth service were felt to be particularly valuable. Access to, and reliability of, the technology were considered extremely important for services. Respondents also welcomed the increased availability of more human and financial resources. Conclusions: During the pandemic, mechanisms that legitimise practise, build confidence, support relationships and supply resources have fostered the use of telehealth. This ongoing interaction between telehealth services, contexts and mechanisms is complex. The adoption of telehealth access to enable physically separated care, may mark a "new context;" or it could be that once the pandemic passes, previous policies and practises will re-assert themselves and curb support for telehealth-enabled care.

Community participation of community dwelling older adults: a cross-sectional study.

BACKGROUND: With the advancing age of the population, and increasing demands on healthcare services, community participation has become an important consideration for healthy ageing. Low levels of community participation have been linked to increased mortality and social isolation. The extent to which community participation has been measured objectively in older adults remains scarce. This study aims to describe where and how older adults participate in the community and determine the feasibility of measurement methods for community participation. METHODS: This observational cross-sectional study obtained data from 46 community dwelling older adults. A combination of Global Positioning Systems (GPS), accelerometry, and self-reported diaries were used over a 7-day monitoring period. Feasibility of methods were determined by calculating the loss of GPS data, questionnaires, and comparison of self-reported locations with GPS co-ordinates. Relationships between community participation, physical activity, social interactions, health related quality of life, sleep quality and loneliness were explored. RESULTS: Older adults took a median (IQR) of 15 (9.25-18.75) trips out of home over the 7-day monitoring period, most frequently visiting commercial and recreational locations. In-home activities were mainly sedentary in nature, with out of home activities dependent on location type. Self-reported and GPS measures of trips out of home and the locations visited were significantly correlated (self-report 15.7 (5.6) GPS 14.4 (5.8) (r = 0.94)). Significant correlations between both the number of trips taken from home, with social interactions (r = 0.62) and the minutes of moderate to vigorous physical activity (MVPA) (r = 0.43) were observed. Daily MVPA was higher in participants who visited local walk/greenspaces (r = 0.48). CONCLUSION: Participants performed more activities with social interactions out of home and visited commercial locations most frequently. The combination of GPS, accelerometry and self-report methods provided a detailed picture of community participation for older adults. Further research is required with older adults of varying health status to generalise the relationships between community participation, location and physical activity. TRIAL REGISTRATION: Ethical approval was gained from the Flinders University Social and Behavioural Research Ethics Committee (protocol no. 8176).

Health literacy, digital health literacy and the implementation of digital health technologies in cancer care: the need for a strategic approach.

ISSUE ADDRESSED: Digital health technologies can potentially reduce health disparities in cancer care. However, the benefits of digital health technology depend partly on users' digital health literacy, that is, "capabilities and resources required for individuals to use and benefit from digital health resources," which combines health and digital literacy. We examined issues for digital health technology implementation in cancer care regarding digital health literacy, via stakeholder consultation. METHODS: Consumers, health care professionals, researchers, developers, nongovernment and government/policy stakeholders (N = 51) participated in focus groups/interviews discussing barriers, enablers, needs and opportunities for digital health implementation in cancer care. Researchers applied framework analysis to identify themes of digital health literacy in the context of disparity and inclusion. RESULTS: Limited digital and traditional health literacy were identified as barriers to digital technology engagement, with a range of difficulties identified for older, younger and socio-economically or geographically disadvantaged groups. Digital health technology was a potential enabler of health care access and literacy, affording opportunities to increase reach and engagement. Education combined with targeted design and implementation were identified means of addressing health and digital literacy to effectively implement digital health in cancer care. CONCLUSIONS: Implementing digital health in cancer care must address the variability of digital health literacy in recipients, including groups living with disadvantage and older and younger people, in order to be effective. SO WHAT?: If cancer outcome disparity is to be reduced via digital health technologies, they must be implemented strategically to address digital health literacy needs. Health policy should reflect this approach.

Location monitoring of physical activity and participation in community dwelling older people: a scoping review.

Background: Community participation and physical activity are important for the health of older adults. This review aimed to identify studies which have measured physical activity and community participation in older adults using Global positioning systems.Materials and methods: This scoping review searched key databases using predetermined subject headings and keywords. Two independent reviewers selected studies based on a systematic procedure following current guidelines. Inclusion criteria for studies were: participants aged over 50 years living independently in the community that reported on physical activity and/or participation inclusive of physical and social activity, and including a quantitative measure of location. All searches were limited to English. The primary review question was; "What studies have monitored the location of physical activity in an older population?" with secondary enquiries investigating the types of global positioning system devices, barriers and facilitators for activity and community participation.Results: The search returned 3723 articles (following duplicate removal) and 45 met the inclusion criteria. Studies from 12 countries published over a 12-year period were included. Participants were mainly healthy (n = 23) followed by having a cognitive impairment (n = 10). There were 14 different global positioning system devices used, assessing a variety of outcomes (n = 24). Seventeen studies identified facilitators and barriers to participation and physical activity in an older population. The most common facilitators were safety, weather and access to multi-purpose facilities. The most common barriers were weather, safety, low income/high deprivation areas and use of motor vehicles.Conclusion: This scoping review identified a variety of locational monitoring of older people using global positioning devices. Global positioning systems are a valuable tool to obtain accurate activity locations of older people. There is a need for clear guidelines regarding the use of global positioning system devices and specified outcomes in primary research to enable comparison across studies.Implications for rehabilitationPhysical activity and community participation are vital for healthy ageing.The environment can act as a facilitator or barrier to physical activity and community participation for older adults.Interventions need to target facilitators (weather, safety, facility access and social components) to maximize physical activity and community participation in older people.Interventions should be designed to reduce the barriers (weather, safety, low income and motor vehicle dependency) that prevent older adults from actively participating in their community.

Use of conversational agents in rehabilitation following brain injury, disease, or stroke: a scoping review protocol.

OBJECTIVE: The objective of the review is to identify peer-reviewed literature reporting the design and use of conversational agents in rehabilitation for adults with brain injury, disease, or stroke. INTRODUCTION: Rehabilitation for adults with brain injury, disease, or stroke provides goal-directed care to overcome functional impairments and reduced independence. However, recovery can be impacted due to rehabilitation being time-limited. New therapy approaches supporting rehabilitation and self-management are warranted. Conversational agents provide personal computer-based dialogues that can be designed to meet the specific needs of clients. Interacting with a conversational agent may support rehabilitation for clients with brain injury, disease, or stroke. INCLUSION CRITERIA: Studies that report the design or use of conversational agents in rehabilitation for adults aged over 18 years with brain injury, disease, or stroke will be considered for inclusion. Research settings may include hospitals, community settings, and homes. Eligible study types are peer-reviewed research protocols, prototype development papers, and pilot and clinical trials. METHODS: Primary sourcing databases (MEDLINE [Ovid], Scopus, ProQuest [all databases], Web of Science) and gray literature sources will be searched with no date limitations. Only studies published in English will be considered due to feasibility limitations. Two independent reviewers will screen the retrieved papers by title and abstract, and the selected papers by full-text review. Any disagreements will be resolved by an objective arbitrator. Data to be extracted and analyzed from included papers will include details of participants, concept, context, and the study design. Results will be presented narratively and in tabular format.

Factors Influencing Patient Adherence to Tuberculosis Treatment in Ethiopia: A Literature Review.

BACKGROUND: Tuberculosis (TB) is a major global public health problem and one of the leading causes of death among infectious diseases. Although TB can be cured with first-line antibiotics treatment of 6 months regimen, non-adherence to the treatment remains the main challenge for TB prevention and control. Interventions to promote adherence need to address multiple underlying factors linked to non-adherence, which requires a synthesis of studies to understand these factors in the local context. Our review accordingly examines these factors for TB treatment in Ethiopia. METHODS: Articles were searched from PubMed and ScienceDirect databases, as well as manual searches through Google and Google Scholar search engines. Both quantitative and qualitative studies that showed factors associated with or reasons for non-adherence, default or loss to follow up from TB treatment were included. A total of 276 articles were screened, and 29 articles were ultimately included in the review. FINDINGS: The extracted factors were synthesized thematically into seven dimensions of patient-centred, social, economic, health system, therapy, lifestyle, and geographic access factors. More than 20 distinct factors were identified under these headings. Some of these factors may also apply quite widely in other settings, with greater or lesser influence, but some are particularly applicable to the Ethiopian setting. CONCLUSION: Helping patients to achieve full adherence to TB medication is a complex problem as it is influenced by interplay between many factors. Healthcare managers, providers, and researchers need to consider and address multiple underlying factors when designing adherence interventions. This work provides a reference set of such factors for Ethiopian interventions.

Digital Technology Trends Supporting Assisted Independent Living of Ageing Population.

The paper provides a narrative overview of trends in digital technology related innovations for supporting ageing subjects to live independently with assistance, synthesized from selected scoping reviews and informed by subsequent analysis of peer reviewed literature appearing in the past 10 years. Four categories of trends are identified: assistive and supportive technologies; monitoring devices and systems; communications and connection technologies; and intelligent health information systems. For each of these categories, a synthesis commentary and illustrative examples are provided, concluding with a summary discussion on future directions.