ObjectiveFirst, to make an inventory of activity limitations commonly reported by knee osteoarthritis (OA) patients undergoing multidisciplinary rehabilitation. Second, to evaluate treatment outcome using the Patient Specific Functional Scale (PSFS) and compare it to the Western Ontario and McMasters Universities Osteoarthritis Index physical function subscale (WOMAC-pf).DesignAn observational study with assessments before and immediately after multidisciplinary rehabilitation. Five hundred and thirteen patients used the PSFS, a patient-reported tool to identify activity limitations and score the patient's ability to perform the activity on an 11-point Numeric Rating Scale (NRS), to report three activities in which they were limited. Frequencies and percentages of their highest-prioritized activity were calculated and categorized according to the International Classification of Functioning, Disability, and Health (ICF). Paired-samples T-tests were used to analyze the change in ability to perform the activities. Effect sizes of PSFS and WOMAC-pf were compared.ResultsMost patients indicated limitations in walking, walking up/down stairs, prolonged standing, and standing up from a chair. Following these common activities, 26 different activities were identified. The majority of these highest-prioritized activities fell under the first-level ICF category of Mobility. The ability to perform all activities significantly improved after treatment. Effect sizes ranged between 0.60 and 0.97 and were greater than the effect size of the WOMAC-pf (0.41).ConclusionKnee OA patients who undergo multidisciplinary rehabilitation exhibit improvements in performing daily activities. The PSFS is a valuable tool to evaluate patient-specific activity limitations and seems to capture improvements in activity limitations beyond the WOMAC-pf.
Maintaining independence is the most important goal of the majority of older people. The onset of disability in activities of daily living is one of the greatest threats to the ability of older people to live independently. Older people with a low socioeconomic status (SES) are at high risk of functional decline. It is unclear what predicts functional decline in older people with a low SES. The aim of this study was to determine predictors of 12-month functional decline in community-living older people with low SES in the Netherlands. Functional decline was defined as the inability to perform (instrumental) activities of daily living. A prognostic multicentre study was conducted, using data from The Dutch Older Persons and Informal Caregivers Survey Minimum DataSet. A multivariable logistic regression model was fitted, using a stepwise backward selection process. Performance of the model was expressed by discrimination, calibration and accuracy. A total of 4.370 participants were included. The mean age of the participants was 80 years and 58.9% were female. Functional decline was present in 1486 participants (34.0%). Ten predictors were independently associated with the outcome. Dementia was the strongest predictor (OR 1.83, 95% CI 1.04–3.23). Other predictors were age, education, poor health, quality of life rate, arthrosis/arthritis, hearing problems, anxiety/panic disorder, pain and less social activities. The final model showed an acceptable discrimination (C-statistic 0.69, 95% CI 0.67–0.70), calibration (Hosmer-Lemeshow p-value 0.33) and accuracy (Brier score 0.20). Further research is needed to examine how functional decline can be ameliorated in this population.
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Ambient activity monitoring systems produce large amounts of data, which can be used for health monitoring. The problem is that patterns in this data reflecting health status are not identified yet. In this paper the possibility is explored of predicting the functional health status (the motor score of AMPS = Assessment of Motor and Process Skills) of a person from data of binary ambient sensors. Data is collected of five independently living elderly people. Based on expert knowledge, features are extracted from the sensor data and several subsets are selected. We use standard linear regression and Gaussian processes for mapping the features to the functional status and predict the status of a test person using a leave-oneperson-out cross validation. The results show that Gaussian processes perform better than the linear regression model, and that both models perform better with the basic feature set than with location or transition based features. Some suggestions are provided for better feature extraction and selection for the purpose of health monitoring. These results indicate that automated functional health assessment is possible, but some challenges lie ahead. The most important challenge is eliciting expert knowledge and translating that into quantifiable features.
The clubfoot deformity is one of the most common congenital orthopaedic “conditions”. Worldwide approximately 100,000 children are born with unilateral or bilateral clubfoot every year. In the Netherlands the incidence is approximately 175 every year. This three dimensional deformity of the foot involves, equinus, varus, adductus, and cavus . Left untreated the clubfoot leads to deformity, functional disability and pain. Physical impairments of children with clubfoot might lead to limitations in activities and therefore impede a child’s participation. In clinical practice, the orthopaedic surgeon and physiotherapists are regularly consulted by (parents of) clubfoot patients for functional problems such as impaired walking and other daily activities. This does not only affect long-term and physical health of a child, it will also affect the development of social relationships and skills as well. Since walking is a main activity in children to be able to participate in daily life, our previous study (financially supported by SIA Raak Publiek) focussed on gait differences between children with clubfoot and controls. However, differences in gait characteristics do not necessarily lead to functional limitations and restricted participation. Therefore, providing insight in participation and a child’s performance in other activities than walking is necessary. Insight in a child’s participation will also indicate the functional outcome of the treatment, which on its turn could provide essential information concerning a possible relapse.. Early identification of a relapse is important since it could prevent the need for major surgical interventions. The occurrence of a relapse clubfoot will probably also lead to functional differences in the foot as well as problems during activity and participation. Therefore, the main focus of this study is the functional outcomes of physical activities and the characterisation of participation of children with clubfeet in daily activities of childhood.
