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In adults, testing can enhance subsequent learning by reducing interference from the tested information. Here, we examined this forward effect of testing in children. Younger and older elementary school children and adult controls studied four lists of items in anticipation of a final cumulative recall test. Following presentation of each of the first three lists, participants were immediately tested on the respective list, or the list was re-presented for additional study. Results revealed that, compared to additional study, immediate testing of Lists 1–3 enhanced memory for the subsequently studied List 4 in adults and older elementary school children, but not in younger elementary school children. The findings indicate that the forward effect of testing is a relatively late-maturing phenomenon that develops over middle childhood and is still inefficient in the early elementary school years. Together with the results of other recent studies, these findings point to a more general problem in young children in combating interference.
Previous developmental work has indicated that animacy is a foundational ontogenetic category that is given priority already early in life. Here, we investigated whether such priority is also present in children’s episodic memory, examining whether young children show enhanced retention of animacy-related information. Kindergartners and younger and older elementary school children were presented with fictitious (non)words (e.g., BULA, LAFE) paired with properties characteristic of humans (e.g., “likes music”), (nonhuman) animals (e.g., “builds nests”), and inanimate things (e.g., “has four edges”) and were asked to rate the animacy status of each nonword. After a retention interval, a surprise recognition test for the nonwords was administered. We found enhanced recognition of nonwords paired with human and animal properties compared with (the same) nonwords paired with inanimate properties. The size of this animacy advantage was comparable across age groups, suggesting developmental invariance of the advantage over the age range examined (i.e., 4–11 years). The results support a functional–evolutionary view on memory, suggesting that already young children’s memory is “tuned” to process and retain animacy.
Background: Joint contractures are a common health problem in older persons with significant impact on activities of daily living. We aimed to retrieve outcome measures applied in studies on older persons with joint contractures and to identify and categorise the concepts contained in these outcome measures using the ICF (International Classification of Functioning, Disability and Health) as a reference.
Methods: Electronic searches of Medline, EMBASE, CINAHL, Pedro and the Cochrane Library were conducted (1/2002-8/2012). We included studies in the geriatric rehabilitation and nursing home settings with participants aged ≥ 65 years and with acquired joint contractures. Two independent reviewers extracted the outcome measures and transferred them to concepts using predefined conceptual frameworks. Concepts were subsequently linked to the ICF categories.
Results: From the 1057 abstracts retrieved, 60 studies met the inclusion criteria. We identified 52 single outcome measures and 24 standardised assessment instruments. A total of 1353 concepts were revealed from the outcome measures; 96.2 % could be linked to 50 ICF categories in the 2nd level; 3.8 % were not categorised. Fourteen of the 50 categories (28 %) belonged to the component Body Functions, 4 (8 %) to the component Body Structures, 26 (52 %) to the component Activities and Participation, and 6 (12 %) to the component Environmental Factors.
Conclusions: The ICF is a valuable reference for identifying and quantifying the concepts of outcome measures on joint contractures in older people. The revealed ICF categories remain to be validated in populations with joint contractures in terms of clinical relevance and personal impact.
Quality issue
Responding to person's health and related needs requires the availability of health information that reflects relevant aspects of a health condition and how this health condition impacts on a person's daily life.
Initial assessment
Health information is routinely collected at different time points by diverse professionals, in different settings for various purposes with varying methods. Consequently, health information is not always comparable, posing a challenge to the regular monitoring of quality.
Choice of solution
The World Health Organization's (WHO) International Classification of Diseases (ICD), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI; under development) are complementary and serve as meaningful reference classifications for comparing data on persons’ health and related interventions across health systems.
Implementation
We developed a systematic approach of translating routinely collected information into a standardized report based on the three WHO reference classifications and the Rehab-Cycle®. Subsequently, we have demonstrated its application using five random case records of individuals attending a rehabilitation program.
Evaluation
All identified concepts were able to be linked to WHO's reference classifications. The ICF served as a tool to standardize information on rehabilitation goals and their achievement. The ICHI served as the basis for reporting the interventions that were documented in the case records, including the intervention targets that were derived from the ICF codes.
Lessons learned
Our experience shows that, it is possible to translate routinely collected information into standardized reports by linking existing narrative records with WHO's reference classifications.
Growing evidence shows interrelations of psychological factors, neurological and immunological processes. Therefore, constructs like a balance of activities, the so called “occupational balance”, could also have biological correlates. The aim of this study was to investigate potential associations between occupational balance, functioning, cytokines and C-reactive protein (CRP) in patients suffering from a chronic inflammatory disease like rheumatoid arthritis (RA) and healthy people. Moreover, we wanted to explore potential differences in gender and employment status.
A descriptive study in patients with RA and healthy people was conducted using the Occupational Balance-Questionnaire (OB-Quest) and the Short-Form 36 Health Survey (SF-36). Serum levels of cytokines, such as interleukin 6 (IL-6) and 8 (IL-8), interferon alpha (INFα), tumour necrosis factor alpha (TNFα), rheumatoid factor (RF) and of CRP were measured. Descriptive statistics, as well as Mann-Whitney U tests and Spearmen's rank correlation coefficients (rs) were calculated.
One-hundred-thirty-two patients with RA and 76 healthy people participated. Occupational balance was associated with functioning, cytokines and CRP. The strongest associations were identified in the unemployed healthy-people sample with cytokines and CRP being within the normal range. For example, the OB-Quest item challenging activities was associated with IL-8 (rs = − 0.63, p = 0.04) and the SF-36 sub-scale bodily pain was associated with IFNα (rs = − 0.69, p = 0.02). The items rest and sleep (rs = − 0.71, p = 0.01) and variety of different activities (rs = − 0.74, p < 0.01) correlated with the SF-36 sub-scale social functioning. Employed and unemployed people differed in their age and CRP levels. Additionally, gender differences were found in two OB-Quest items in that fewer women were able to adapt their activities to changing living conditions and fewer men were overstressed. In conclusion, we found preliminary biological evidence for the link between occupation and health in that the concepts encompassed in the construct of occupational balance were associated with functioning, cytokines and CRP.
Health is a complex process with potentially interacting components from the molecular to the societal and environmental level. Adequate research designs and data analysis methods are needed to improve our understanding of this complexity, to ultimately derive high quality evidence to inform patients, health professionals, and health policy decision makers. Also, effective patient-centred health care has to address the complexity of health, functioning, and disability, not only by implementing interventions, but also by using information technologythatrepresentsthecomplexityofhealthcaretoinformallactors. Given this background, we developed the concept of our conference HEC2016 as an interdisciplinary European event in beautiful Bavaria, in the city of Mu ¨nchen. Quite ironically this is the place, where William of Ockham, whose ideas of parsimony are the very opposite of complexity, accused of heresy, spent 17 years under the protection of the Bavarian King Ludwig IV. Furthermore, our local public health hero Max von Pettenkofer (1818–1901) contributed a lot to the basic systemic understanding of health, especially the relevance of a healthy environment. Under the joint theme of health as a complex system we joined the activities of five scientific disciplines: Medical Informatics, Medical Biometry, Bioinformatics, Epidemiology and Health Data Management. The mission behind this interdisciplinary effort was to serve as an important scientific forum for the exchange of new ideas and applications to strengthen health sciences on a national and international level. The analysis of health as a complex system opens needed perspectives on a challenging reality: filtering current hypotheses, resolving controversies, and tailoring interventions to the need of the individual within a health system environment. The conference encouraged the dialogue of the disciplines in order to advance our understanding of health and to decrease burden of disease. HEC2016 brought together the annual conferences of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), the German Society for Epidemiology (DGEpi), the International Epidemiological Association- European Region (IEA-EEF) and the European Federation for Medical Informatics Association
(EFMI, MIE 2016). HEC2016 took place in Mu ¨nchen, Germany, in the main building of the Ludwig-Maximilians-Universita ¨t (LMU) from 28 August to 2 September 2016 under the auspices of the Institute for MedicalInformationProcessing,BiometryandEpidemiologyofLMU. The conference received 832 contributions for oral and poster presentation (Table 1). Fourteen percent of them were from outside Europe with the largest group of 10 % from Asia (Table 2). Scientific program committees and reviewers selected 408 submissions as oral contributions and 303 for poster presentations. The program was surrounded by twelve tutorials held by international renowned scientists and covered a broad spectrum from innovative biostatistical and epidemiological methods to tutorials in application of innovative software, scientific writing and data protection issues. Over 50 panel discussions and workshops allowed in-depth exchange of ideas on specific topics and underscored the interactive nature of HEC2016. A special focus of HEC2016 was on the promotion of young scientists from all disciplines whose participation was supported by numerous travel grants. We would like to express our deepest gratitude to all the colleagues who supported us as speakers, committee members and reviewers, lent us a hand before, during and after the conference, gave critical but friendly comments at all stages of the preparations, supported us by providing coffee, audience or Butterbrezen, and specifically to those who submitted contributions to the conference and attended the conference and its many tutorials, lectures and sessions. We extend our gratitude to the Deutsche Forschungsgemeinschaft for generous financial support (grant no. GR 3608/4-1). Last not least we would like to thank our families who allowed us to spend most of our weekends with organizing this conference, to William of Ockham for lending us his razor (from time to time) and to Max von Pettenkofer for guidance.
Objective: To test subgroups of a community-based sample of individuals with spinal cord injury, categorized by the application of current recommendations by the International Spinal Cord Society.
Design: Community survey.
Participants: Individuals with traumatic and non-traumatic spinal cord injury residing in Switzerland.
Methods: Recommended subgroups of age, gender, years since injury, severity of injury and aetiology were tested against the following criteria: (i) distribution of participants across categories; (ii) within- and between-group variability with regard to selected outcomes of functioning and quality of life.
Results: Data-sets for 1,549 participants (28.5% women; mean age 52 ± 15 years) were available for analyses. There was a number of participants in every subgroup, yet numbers were relatively small in the group with the shortest time since injury (< 1 year; n = 23) and in the oldest age group (≥76; n = 94). A high variability in some outcomes was detected between categories. All variables were predictive for most of the endpoints investigated.
Conclusion: Recommended categorization could well fit the present sample. A minor concern was the low numbers of participants in some subgroups.
Background
Contemporary casemix systems for health services need to ensure that payment rates adequately account for actual resource consumption based on patients’ needs for services. It has been argued that functioning information, as one important determinant of health service provision and resource use, should be taken into account when developing casemix systems. However, there has to date been little systematic collation of the evidence on the extent to which the addition of functioning information into existing casemix systems adds value to those systems with regard to the predictive power and resource variation explained by the groupings of these systems. Thus, the objective of this research was to examine the value of adding functioning information into casemix systems with respect to the prediction of resource use as measured by costs and length of stay.
Methods
A systematic literature review was performed. Peer-reviewed studies, published before May 2014 were retrieved from CINAHL, EconLit, Embase, JSTOR, PubMed and Sociological Abstracts using keywords related to functioning (‘Functioning’, ‘Functional status’, ‘Function*, ‘ICF’, ‘International Classification of Functioning, Disability and Health’, ‘Activities of Daily Living’ or ‘ADL’) and casemix systems (‘Casemix’, ‘case mix’, ‘Diagnosis Related Groups’, ‘Function Related Groups’, ‘Resource Utilization Groups’ or ‘AN-SNAP’). In addition, a hand search of reference lists of included articles was conducted. Information about study aims, design, country, setting, methods, outcome variables, study results, and information regarding the authors’ discussion of results, study limitations and implications was extracted.
Results
Ten included studies provided evidence demonstrating that adding functioning information into casemix systems improves predictive ability and fosters homogeneity in casemix groups with regard to costs and length of stay. Collection and integration of functioning information varied across studies. Results suggest that, in particular, DRG casemix systems can be improved in predicting resource use and capturing outcomes for frail elderly or severely functioning-impaired patients.
Conclusion
Further exploration of the value of adding functioning information into casemix systems is one promising approach to improve casemix systems ability to adequately capture the differences in patient’s needs for services and to better predict resource use.
This research quantifies the impact that regular road traffic congestion has on the CO2 emissions of a real-world distribution network, and it studies the consequences when the number of distribution centers changes. For this purpose, this study makes use of a network model allowing for a detailed representation of all relevant transport operations, including production flows between factories and distribution centers, line haul shipments between distribution centers and customers, and round/delivery trips between transshipment points and retailer locations for the last mile. The processed trip and traffic information does not rely on standard traffic data collection approaches, such as interviews, in situ technologies, or floating car data, but the road traffic data are retrieved from an online navigation service, such as Bing Maps, Google Maps, Inrix, Here, and TomTom. This study proves that online navigation services may considerably contribute to future research projects analyzing CO2 sensitivities and greenhouse gas cutting opportunities in logistics networks.
The European Norm EN 16258 was published in 2012 to provide a common methodology for the calculation and declaration of energy consumption and greenhouse gas emissions related to any transport operation. The objective was to offer a pragmatic and scientifically-acceptable approach that allows a wide group of users to prepare standardized, accurate, credible, comparable, and verifiable energy consumption and emission declarations. However, in its current form, EN 16258 contains gaps and ambiguities, and leaves room for interpretation, which makes comparisons of supply chains difficult. This research aims to overcome the shortcomings in the domain of allocating emissions from road freight transport operations to single shipments. Based on a discussion of emission drivers and the results of numerical experiments comparing the allocation vectors created by the EN 16258 allocation rules with those generated by the Shapley value, which is claimed to be the benchmark, ‘distance’ is identified as the single most useful unit for bridging the trade-off between accuracy and simplicity better than the other recommended allocation schemes. Thus, this paper claims that future versions of EN 16258 should only allow the allocation unit ‘distance.’ This will promote the accurateness, simplicity, consistency, transparency, and comparability of emission declarations.