Musculoskeletal health, frailty and functional decline

Author version made available in accordance with the publisher's policy for non-mandated open access submission. Under Elsevier's copyright, non-mandated authors are permitted to make work available in an institutional repository.Frailty in older people is associated with a vulnerability to adverse events. While ageing is associated with a loss of physiological reserves identifying those with the syndrome of frailty has the potential to assist clinicians tailor treatments to those at risk of future decline into disability with increased risk of complications, morbidity and mortality. Sarcopenia is a key component of the frailty syndrome and on its own puts older people at risk of fragility fractures however the clinical syndrome of frailty affects musculoskeletal and non musculoskeletal systems. Hip fractures are becoming a prototype condition in the study of frailty. Following a hip fracture many of the interventions are focused on limiting mobility disability and restoring independence with activities of daily living but there are multiple factors to be addressed including osteoporosis, sarcopenia, delirium, weight loss. Established techniques of geriatric evaluation and management allow systematic assessment and intervention on multiple components by multidisciplinary teams and deliver the best outcomes. Using the concept of frailty to identify older people with musculoskeletal problems as at risk of a poor outcome assists in treatment planning and is likely to become more important as effective pharmacological treatments for sarcopenia emerge. This review will focus on the concept of frailty and its relationship with functional decline, as well as describing its causes, prevalence, risk factors and potential clinical applications and treatment strategies

Use of an Activity Monitor and GPS Device to Assess Community Activity and Participation in Transtibial Amputees

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).This study characterized measures of community activity and participation of transtibial amputees based on combined data from separate accelerometer and GPS devices. The relationship between community activity and participation and standard clinical measures was assessed. Forty-seven participants were recruited (78% male, mean age 60.5 years). Participants wore the accelerometer and GPS devices for seven consecutive days. Data were linked to assess community activity (community based step counts) and community participation (number of community visits). Community activity and participation were compared across amputee K-level groups. Forty-six participants completed the study. On average each participant completed 16,645 (standard deviation (SD) 13,274) community steps and 16 (SD 10.9) community visits over seven days. There were differences between K-level groups for measures of community activity (F(2,45) = 9.4, p < 0.001) and participation (F(2,45) = 6.9, p = 0.002) with lower functioning K1/2 amputees demonstrating lower levels of community activity and participation than K3 and K4 amputees. There was no significant difference between K3 and K4 for community activity (p = 0.28) or participation (p = 0.43). This study demonstrated methodology to link accelerometer and GPS data to assess community activity and participation in a group of transtibial amputees. Differences in K-levels do not appear to accurately reflect actual community activity or participation in higher functioning transtibial amputees

Community activity and participation are reduced in transtibial amputee fallers: a wearable technology study

This author accepted manuscript (post print) is made available in accordance with the publisher copyright policy.Wearable technology is an important development in the field of rehabilitation as it has the potential to progress understanding of activity and function in various patient groups. For lower limb amputees, falls occur frequently, and are likely to affect function in the community. Therefore, the purpose of this study was to use wearable technology to assess activity and participation characteristics in the home and various community settings for transtibial amputee fallers and non-fallers. Participants were provided with an accelerometer-based activity monitor and global positioning system (GPS) device to record activity and participation data over a period of seven consecutive days. Data from the accelerometer and GPS were linked to assess community activity and participation. Forty-six transtibial amputees completed the study (79% male, 35% identified as fallers). Participants with a history of falls demonstrated significantly lower levels of community activity (p=0.01) and participation (p=0.02). Specifically, activity levels were reduced for recreational (p=0.01) and commercial roles (p=0.02), while participation was lower for recreational roles (p=0.04). These findings highlight the potential of wearable technology to assist in the understanding of activity and function in rehabilitation and to further emphasise the importance of clinical falls assessments to improve the overall quality of life in this population

The relationship between quality of life, health and care transition: an empirical comparison in an older post-acute population

Background: The aim of this study was to explore, via empirical comparison, the relationship between quality of life, as measured by the ICECAP-O capability index (a new instrument designed to measure and value quality of life in older people), with both self-reported health status and the quality of care transition in adults aged 65 and over participating in two post-acute rehabilitation programs (outpatient day rehabilitation and the Australian National Transition Care residential program). Methods: The ICECAP-O was administered to patients receiving either outpatient day rehabilitation (n=53) or residential transition care (n=29) during a face to face interview. The relationships between the ICECAP-O and other instruments, including the EQ-5D (a self-reported measure of health status) and CTM-3 (a self-reported measure of the quality of care transitions), the type of post-acute care being received and socio-demographic characteristics were examined. Results: The mean ICECAP-O score for the total sample was 0.81 (SD: 0.15). Patients receiving outpatient day rehabilitation generally reported higher levels of capability, than p atients receiving residential transition care (mean 0.82 [SD: 0.15] and 0.79 [SD: 0.164] re spectively), however these differences were not statistically significant. The mean EQ-5D score for the total sample was somewhat lower than the ICECAP-O (mean 0.52; SD: 0.27) indicating significant levels of health i mpairment with the outpatient day rehabilitation group demonstrating slightly higher levels of health status than the transition care group (mean 0.54 [SD: 0.254] and mean 0.49 [SD: 0.30]). The ICECAP-O was found to be positively correlated with both the CTM-3 (Spearman ’ s r =0.234; p ≤ 0.05) and the EQ-5D (Spearman ’ sr=0.437;p ≤ 0.001). The relationships between the total EQ-5D and CTM-3 scores and the individual attributes of the ICECAP-O indicate health status and quality of care transition in this patient population to be influential in some, but not all aspects of capability. Conclusions: The correlations between the ICECAP-O, EQ-5D and CTM-3 instruments illustrate that capability is strongly and positively associated with health-related quality of life and the quality of care transitions. However further research is required to further examine the construct validity of the ICECAP-O and to examine its potential for incorporation into economic evaluation

‘Massive potential’ or ‘safety risk’? Health worker views on telehealth in the care of older people and implications for successful normalization

This is an open access article. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.Background Telehealth technologies, which enable delivery of healthcare services at distance, offer promise for responding to the challenges created by an ageing population. However, successful implementation of telehealth into mainstream healthcare systems has been slow and fraught with failure. Understanding of frontline providers’ experiences and attitudes regarding telehealth is a crucial aspect of successful implementation. This study aims to examine healthcare worker views on telehealth, and their implications for implementation to mainstream healthcare services for older people. The study includes a focus on two further dimensions of urban versus rural services and level of clinician experience with telehealth. Methods Seven semi-structured focus groups were conducted with a total of 44 healthcare workers providing services to older people in the areas of rehabilitation and allied health, residential aged care and palliative care. Focus groups included both telehealth experienced and inexperienced groups. Of the experienced groups, two provided services to both urban and rural patients, and two to rural patients. Inexperienced groups included one rural and two urban. Thematic analysis was undertaken to identify predominant themes. Between-group differences and agreement in viewpoints for each of these themes are discussed and mapped to the theoretical constructs of Normalization Process Theory. Results The views of participants varied with the extent of telehealth experience and perception of accessibility of healthcare services. Four themes describing clinician attitudes and perceptions that could impact on successful implementation of telehealth services are outlined: 1) Workability of telehealth: exponential growth in access or decay in the quality of healthcare? 2) What is an acceptable level of risk to patient safety with telehealth? 3) Shifting responsibilities and recalibrating the team; and 4) Change of architecture required to enable integration of telehealth service delivery. Conclusions The use of telehealth technologies to provide healthcare services to older people may be more readily normalized in areas where existing services are limited. Though exposure to telehealth may be a factor, changes to the perceived feasibility of telehealth in relation to conventional services, as well as supportive infrastructure and training and skill recalibration may be more critical to successful normalization of telehealth services for older people

The chaotic journey: Recovering from hip fracture in a nursing home

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-ncnd/4.0/)

Identifying Malnutrition in an Elderly Ambulatory Rehabilitation Population: Agreement between Mini Nutritional Assessment and Validated Screening Tools

Malnutrition is common in older adults and often goes unrecognised and untreated. Australian evidence-based guidelines for the management of malnutrition indicate that only the Mini Nutritional Assessment short form (MNA-sf) and Rapid Screen are recommended for use as malnutrition screening tools in the rehabilitation setting. The aim of this secondary analysis was to assess the validity and reliability of two malnutrition screening tools, validated in other adult sub-groups, in a rehabilitation population aged ≥60 years. The Council on Nutrition Appetite Questionnaire (CNAQ) and the Simplified Nutritional Appetite Questionnaire (SNAQ), were completed by 185 ambulatory rehabilitation patients (48% male; median age 78 years) and results compared to the full MNA as a reference technique. Prevalence of risk of malnutrition was 63% according to the MNA. For identification of risk of malnutrition the CNAQ had sensitivity of 54%, specificity 81%, positive predictive value 83% and negative predictive value 51%, compared to 28%, 94%, 89% and 44%, respectively, using SNAQ. Assessment of reliability indicated significant slight to fair agreement between MNA with CNAQ (κ = 0.309, p < 0.001) and SNAQ (κ = 0.176, p < 0.001). Neither the CNAQ nor the SNAQ have a high level of validity or reliability in this elderly population and are therefore not recommended for use in the ambulatory rehabilitation setting. Further work is necessary to assess the validity and reliability of other malnutrition screening tools to establish their usefulness in this populatio

Rehabilitation for improving automobile driving after stroke

Publisher version made available in accordance with the publisher's policy. This item is under embargo for a period of 12 months from the date of publication, in accordance with the publisher's policy. 'This review is published as a Cochrane Review in the Cochrane Database of Systematic Reviews 2014, Issue 2. Cochrane Reviews are regularly updated as new evidence emerges and in response to comments and criticisms, and the Cochrane Database of Systematic Reviews should be consulted for the most recent version of the Review.’Background Interventions to improve driving ability after stroke, incl uding driving simulation and retraining visual skills, hav e limited evaluation of their effectiveness to guide policy and practice. Objectives To determine whether any intervention, with the specific aim o f maximising driving skills, improves the driving performa nce of people after stroke. Search methods WesearchedtheCochrane Stroke GroupTrialsregister(August 2 013), theCochrane Central Registerof ControlledTrials( The Cochrane Library 2012, Issue 3), MEDLINE (1950 to October 2013), EMBASE (1980 to Octo ber 2013), and six additional databases. To identify further published, unpublished and ongoing trial s, we handsearched relevant journals and conference proceeding s, searched trials and research registers, checked reference lists and conta cted key researchers in the area. Selection criteria Randomised controlled trials (RCTs), quasi-randomised trials and cluster studies of rehabilitation interventions, with t he specific aim of maximising driving skills or with an outcome of assessing d riving skills in adults after stroke. The primary outcome of i nterest was the performance in an on-road assessment after training. Secon dary outcomes included assessments of vision, cognition and dr iving behaviour. Data collection and analysis Two review authors independently selected trials based on pr e-defined inclusion criteria, extracted the data and assessed ri sk of bias. A third review author moderated disagreements as required. T he review authors contacted all investigators to obtain missi ng information. Main results We included four trials involving 245 participants in the revi ew. Study sample sizes were generally small, and interventi ons, controls and outcome measures varied, and thus it was inappropriate to pool studies. Included studies were at a low risk of bias for th e majority of domains, with a high/unclear risk of bias identified in the a reas of: performance (participants not blinded to allocation), a nd attrition (incomplete outcome data due to withdrawal) bias. Interventio n approaches included the contextual approach of driving simula tion and underlying skill development approach, including the ret raining of speed of visual processing and visual motor skills . The studies were conducted with people who were relatively young and the ti ming after stroke was varied. Primary outcome: there was no cle ar evidence of improved on-road scores immediately after trainin g in any of the four studies, or at six months (mean difference 15 points on the Test Ride for Investigating Practical Fitness to Drive - Belgian version, 95% confidence intervals (CI) 4.56 to 34.56, P v alue = 0.15, one study, 83 participants). Secondary outcomes: road sig n recognition was better in people who underwent training comp ared with control (mean difference 1.69 points on the Road Sign Recogn ition Task of the Stroke Driver Screening Assessment, 95% CI 0 .51 to 2.87, P value = 0.007, one study, 73 participants). Significan t findings were in favour of a simulator-based driving rehabil itation programme (based on one study with 73 participants) but these r esults should be interpreted with caution as they were based o n a single study. Adverse effects were not reported. There was insufficie nt evidence to draw conclusions on the effects on vision, other me asures of cognition, motor and functional activities, and driving beh aviour with the intervention. Authors’ conclusions There was insufficient evidence to reach conclusions about the use of rehabilitation to improve on-road driving skills after st roke. We found limited evidence that the use of a driving simulator m ay be beneficial in improving visuocognitive abilities, such as road sign recognition that are related to driving. Moreover, we we re unable to find any RCTs that evaluated on-road driving lesso ns as an intervention. At present, it is unclear which impairments tha t influence driving ability after stroke are amenable to rehab ilitation, and whether the contextual or remedial approaches, or a combinatio n of both, are more efficacious

Measuring technology self efficacy: reliability and construct validity of a modified computer self efficacy scale in a clinical rehabilitation setting

Author version made available in accordance with the Publisher's policy.Purpose: To describe a modification of the Computer Self Efficacy Scale for use in clinical settings and to report on the modified scale’s reliability and construct validity. Methods: The Computer Self Efficacy Scale was modified to make it applicable for clinical settings (for use with older people or people with disabilities using everyday technologies). The modified scale was piloted, then tested with patients in an Australian inpatient rehabilitation setting (n=88) to determine the internal consistency using Cronbach’s alpha coefficient. Construct validity was assessed by correlation of the scale with age and technology use. Factor analysis using principal components analysis was undertaken to identify important constructs within the scale. Results: The modified Computer Self Efficacy scale demonstrated high internal consistency with a standardised alpha coefficient of 0.94. Two constructs within the scale were apparent; using the technology alone, and using the technology with the support of others. Scores on the scale were correlated with age and frequency of use of some technologies thereby supporting construct validity. Conclusions: The modified Computer Self Efficacy Scale has demonstrated reliability and construct validity for measuring the self efficacy of older people or people with disabilities when using everyday technologies. This tool has the potential to assist clinicians in identifying older patients who may be more open to using new technologies to maintain independence