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Background: Existing instruments measuring participation may vary with respect to various aspects. This study aimed to examine the comparability of existing instruments measuring participation based on the International Classification of Functioning, Disability and Health (ICF) by considering aspects of content, the perspective adopted and the categorization of response options.
Methods: A systematic literature review was conducted to identify instruments that have been commonly used to measure participation. Concepts of identified instruments were then linked to the ICF following the refined ICF Linking Rules. Aspects of content, perspective adopted and categorization of response options were documented.
Results: Out of 315 instruments identified in the full-text screening, 41 instruments were included. Concepts of six instruments were linked entirely to the ICF component Activities and Participation; of 10 instruments still 80% of their concepts. A descriptive perspective was adopted in most items across instruments (75%), mostly in combination with an intensity rating. An appraisal perspective was found in 18% and questions from a need or dependency perspective were least frequent (7%).
Conclusion: Accounting for aspects of content, perspective and categorization of responses in the linking of instruments to the ICF provides detailed information for the comparison of instruments and guidance on narrowing down the choices of suitable instruments from a content point of view.
Implications for Rehabilitation
For clinicians and researchers who need to identify a specific instrument for a given purpose, the findings of this review can serve as a screening tool for instruments measuring participation in terms of the following:
• Their content covered based on the ICF.
• The perspective adopted in the instrument (e.g., descriptive, need/dependency or appraisal).
• The categorization of their response options (e.g., intensity or frequency).
The International Classification of Functioning, Disability and Health (ICF) Generic- 30 Set (previously referred to as Rehabilitation Set) is a minimal set of ICF categories for reporting and assessing functioning and disability in clinical populations with different health conditions along the continuum of care. Recently, the Italian Society of Physical and Rehabilitation Medicine (SIMFER) developed an Italian modification of the simple and intuitive descriptions (SID) of these categories. This study was the first one to implement the use of the SID in practice.1)
To implement the use of the ICF in clinical practice and research among Italian Residents in PRM. 2) To verify if the SID made the application of ICF Generic 30 Set more user-friendly than the original descriptions. 3) To examine the prevalence of functioning problems of patients accessing Rehabilitation Services to serve as reference for the development of an ICF-based clinical data collection tool.Multicenter cross-sectional study.
Italian Physical Medicine and Rehabilitation (PRM) outpatient rehabilitation services. Patients referring to Italian PRM outpatient rehabilitation services and Italian Residents in PRM.Each School of Specialization involved, randomly, received the ICF Generic-30 Set with the original descriptions or with the SID.
Residents collected over a 4-month period (April-July 2016) patients data related to the ICF Generic-30 Set categories. Moreover, the residents self- assessed their difficulty in using the ICF Generic-30 Set with the original descriptions or with the SID, through a Numeric Rating Scale (NRS).Ninety-three residents collected functioning data of 864 patients (mean aged 57.7±19.3) with ICF Generic-30 Set: 304 with the original descriptions and 560 with SID. The difficulty in using the ICF Generic-30 Set with SID was rated as lower than using the original descriptions (NRS = 2.8±2.5 vs 3.5±3.1; p<0.001).
The most common disease was the back pain (9.6%) and the most common altered ICF categories were b280 (76.3%) and b710 (72.9%).This multicenter cross-sectional study shown that the ICF Generic-30 Set is a valuable instrument for reporting and assessing functioning and disability in clinical populations with different health conditions and along the continuum of care and that SID facilitate the understanding of the ICF categories and therefore their use in clinical practice.
This National survey, improving the knowledge of ICF among Italian PRM residents, represents an important step towards the system-wide implementation of ICF in the healthcare system.
Time series are series of values ordered by time. This kind of data can be found in many real world settings. Classifying time series is a difficult task and an active area of research. This paper investigates the use of transfer learning in Deep Neural Networks and a 2D representation of time series known as Recurrence Plots. In order to utilize the research done in the area of image classification, where Deep Neural Networks have achieved very good results, we use a Residual Neural Networks architecture known as ResNet. As preprocessing of time series is a major part of every time series classification pipeline, the method proposed simplifies this step and requires only few parameters. For the first time we propose a method for multi time series classification: Training a single network to classify all datasets in the archive with one network. We are among the first to evaluate the method on the latest 2018 release of the UCR archive, a well established time series classification benchmarking dataset.
Background: The International Classification of Functioning, Disability and Health is the international standard for describing and monitoring functioning. While the categories, the units of the classification, were not designed with measurement in mind, the hierarchical structure of the classification lends itself to the possibility of summating categories into some higher order domain. Focusing on the chapters of d4 Mobility, d5 Self-Care and d6 Domestic Life, this study seeks to ascertain if qualifiers rating of categories (0-No problem to 4-Complete problem) within those chapters can be summated, and whether such derived measurement is consistent with estimates obtained from well-known instruments which purport to measure the same constructs.
Methods: The current study applies secondary analysis to data previously collected in the context of validating Core Sets for stroke, rheumatoid arthritis, and osteoarthritis. Data included qualifier-based ratings of the categories in the Core Sets, and the physical functioning sub-scale of the Short-Form 36, and the World Health Organization Disability Assessment Schedule 2.0. To examine qualifier-comparator scale item agreement Kappa statistics were used. To identify whether appropriate gradients of the comparator scales were observed across qualifier levels, an Independent Sample Median Test of the ordinal scores was deployed. To investigate the internal validity of the summated ICF categories, the Rasch model was applied.
Results: Data from 2,927 subjects from Europe, Australasia, Middle East and South America were available for analysis; 36.3% had experienced a stroke, 35.8% osteoarthritis, and 27.9% had rheumatoid arthritis. The items from the Short-Form 36 could not match directly the qualifier categories as the former had only 3 response options. The Kappa between World Health Organization Disability Assessment Schedule 2.0 items and categories was low. For all qualifiers, a significant (<0.001) overall gradient was observed across the comparator scales. Only in few of the World Health Organization Disability Assessment Schedule 2.0 items could no discrete level be detected. The aggregation of the qualifiers at the Chapter and higher order levels mostly revealed fit to the Rasch model. Almost all ICF qualifiers showed ordered thresholds suggesting that the current structure and response options of the qualifiers worked as intended.
Conclusions: The findings of this study provide supporting evidence for the use of the professionally rated categories and associated qualifiers to measure functioning.
Implication for Rehabilitation
- This study provides evidence that functioning data can be collected directly with the International Classification of Functioning, Disability and Health (ICF) by using the ICF categories as items and the ICF qualifiers as rating scale.
- The findings of this study show the aggregated ratings of ICF categories from the chapters d4 Mobility, d5 Self-care, and d6 Domestic life capture a broader spectrum of the construct than the corresponding summated items from the SF36-Physical Function sub-scale and the corresponding items of the World Health Organization Disability Assessment Schedule 2.0.
- This study illustrates the potential of building quantitative measurement by aggregating ICF categories and their qualifier ratings into meaningful domains.
Abstract
Objective: Since the 1990s the Functional Independence Measure (FIM™) was believed to measure 2 different constructs, represented by its motor and cognitive subscales. The practice of reporting FIM™ total scores, together with recent developments in the understanding of the influence of locally dependent items on fit to the Rasch model, raises the question of whether the FIM™ 18-item version can be reported as a unidimensional interval-scaled metric.
Design: Rasch analysis of the FIM™ using testlet approaches to accommodate local response dependency.
Patients: A calibration sample containing 946 cases of data from 11,103 patients undergoing neurological or musculoskeletal rehabilitation in Switzerland in 2016.
Results: Baseline analysis and the traditional testlet approach showed no fit with the Rasch model. When items were grouped into 2 testlets, fit to the Rasch model was achieved, indicating unidimensionality across all 18 items. A transformation table to convert FIM™ raw ordinal scores to the corresponding Rasch interval scaled values was created.
Conclusion: This study provides evidence that FIM™ total scores represent a unidimensional set of items, supporting their use in clinical practice and outcome reporting when applying the respective transformation table. This provides a basis for standardized reporting of functioning.
Lay Abstract
The aim of this study was to look in detail at the FIM™, an assessment tool often used for patients undergoing rehabilitation. Some users report the FIM™ as 2 scores: one related to motor tasks, the other to cognitive tasks; others recommend reporting it as a single score including both motor and cognitive tasks. This study explored whether it is statistically meaningful to sum all the points into a single FIM™ total score. The results support the current practice of summing the points into a single total score for patients undergoing musculo-skeletal and neurological rehabilitation. The results also allowed an interval scale to be derived from the FIM™, enabling a broad range of calculations to be made using the FIM™ score, such as calculating the change in FIM™ outcomes from the time a patient is admitted to a rehabilitation clinic until their discharge.
Background: The Extended Barthel Index (EBI), consisting of the original Barthel Index plus 6 cognitive items, provides a tool to monitor patients’ outcomes in rehabilitation. Whether the EBI provides a unidimensional metric, thus can be reported as a valid sum-score, remains to be examined.
Objective: To examine whether the EBI can be reported as unidimensional interval-scaled metric for neurological and musculoskeletal rehabilitation.
Methods: Rasch analysis of a calibration sample of 800 cases from neurological or musculoskeletal rehabilitation in 2016 in Switzerland.
Results: In the baseline analysis no fit to the Rasch Model was achieved. When accommodating local dependencies with a testlet approach satisfactory fit to the Rasch Model was achieved, and an interval scale transformation table was created.
Conclusion: The results support the reporting of adapted EBI total scores for both rehabilitation groups by applying the interval scaled transformation table presented in this study.
In March 2019, German-speaking scientists and scholars calling themselves Scientists for Future, published a statement in support of the youth protesters in Germany, Austria, and Switzerland (Fridays for Future, Klimastreik/Climate Strike), verifying the scientific evidence that the youth protestors refer to. In this article, they provide the full text of the statement, including the list of supporting facts (in both English and German) as well as an analysis of the results and impacts of the statement. Furthermore, they reflect on the challenges for scientists and scholars who feel a dual responsibility: on the one hand, to remain independent and politically neutral, and, on the other hand, to inform and warn societies of the dangers that lie ahead.
Objective
To validate the International Classification of Functioning, Disability and Health (ICF) Generic-6 in daily routine clinical practice in Mainland China. Specific objectives were to analyze (1) interrater reliability, (2) convergent validity, (3) known group validity, and (4) predictive validity of the ICF Generic-6.
Design
Multicenter prospective cohort study.
Setting
Fifty hospitals from 20 provinces of Mainland China.
Participants
A total of 4510 patients from departments of rehabilitation, orthopedics, neurology, cardiology, pneumology, and cerebral surgery of the participating hospitals with different health conditions were included in this study.
Intervention
Not applicable.
Main Outcome Measures
The assessment was undertaken by nurses with ICF Generic-6 in combination with a numeric rating scale. Interrater reliability was evaluated with intraclass correlation coefficients (ICC). Convergent validity was evaluated with Spearman correlation coefficients between ICF Generic-6 and Medical Outcomes Short Form (SF)-12 items. Known group validity was examined by comparing discharge scores between different discharge destinations. Predictive validity was determined by using ICF Generic-6 baseline scores for estimating length of hospital stay with a loglogistic survival model with gamma shared frailty and cost of in-hospital treatment with a mixed effects generalized linear regression model of the gamma family.
Results
The interrater reliability of items and score of ICF Generic-6 was good with ICCs ranging from 0.67-0.87. ICF Generic-6 items were further correlated with respective SF-12 items. Discharge scores of patients differed significantly by discharge destination. The ICF Generic-6 admission score was a significant predictor of length of stay and treatment cost.
Conclusions
The ICF Generic-6 administered in combination with a 0-10 numeric rating scale is a reliable and valid tool for the collection of minimal information on functioning across various clinical settings.
Generating a more detailed understanding of domestic electricity demand is a major topic for energy suppliers and householders in times of climate change.
Over the years there have been many studies on consumption feedback systems to inform householders, disaggregation algorithms for Non-Intrusive-Load-Monitoring (NILM), Real-Time-Pricing (RTP) to promote supply aware behavior through monetary incentives and appliance usage prediction algorithms. While these studies are vital steps towards energy awareness, one of the most fundamental challenges has not yet been tackled: Automated detection of start and stop of usage cycles of household appliances. We argue that most research efforts in this area will benefit from a reliable segmentation method to provide accurate usage information.
We propose a SVM-based segmentation method for home appliances such as dishwashers and washing machines. The method is evaluated using manually annotated electricity measurements of five different appliances recorded over two years in multiple households.