Self-efficacy and outcome expectations regarding client activation determine professionals’ level of actively engaging clients during daily activities. The Client Activation Self-Efficacy and Outcome Expectation Scales for nurses and domestic support workers (DSWs) were developed to measure these concepts. This study aimed to assess their psychometric properties. Cross-sectional data from a sample of Dutch nurses (n=150) and DSWs (n=155) were analysed. Descriptive statistics were used to examine floor and ceiling effects. Construct validity was assessed by testing research-based hypotheses. Internal consistency was determined with Cronbach’s alpha. The scales for nurses showed a ceiling effect. There were no floor or ceiling effects in the scales for domestic support workers. Three out of five hypotheses could be confirmed (construct validity). For all scales, Cronbach’s alpha coefficients exceeded 0.70. In conclusion, all scales had moderate construct validity and high internal consistency. Further research is needed concerning their construct validity, testretest reliability and sensitivity to change.
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PURPOSE: The purpose of this study was to gain insight into how low back pain (LBP) patients conceptualize the construct of expectations regarding treatment.METHODS: This study was nested within a mixed-method randomized clinical trial comparing three primary care interventions for LBP. A total of 77 participants with LBP lasting longer than 6 weeks were included; semi-structured interviews were conducted querying patients about their expectations for treatment. Also factors influencing their expectations were explored. Interviews were administered following enrollment into the study, but prior to study treatment. Two researchers independently conducted a content analysis using NVIVO 9 software.RESULTS: LBP patients' expectations could be categorized in two main domains: outcome and process expectations, each with subdomains. Patients expressed expectations in all subdomains both as values (what they hoped) and probabilities (what they thought was likely). In multiple subdomains, there were differences in the nature (positive vs. negative) and frequency of value and probability expectations. Participants reported that multiple factors influenced their expectations of which past experience with treatment appeared to be of major influence on probability expectations.CONCLUSION AND RECOMMENDATIONS: This study showed that LBP patients' expectations for treatment are multifaceted. Current measurement instruments do not cover all domains and subdomains of expectations. Therefore, we recommend the development of new or improved measures that make a distinction between value and probability expectations and assess process and/or outcome expectations covering multiple subdomains. Some of the influencing factors found in this study may be useful targets for altering patients' treatment expectations and improving health outcomes.
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Background: Clinicians are currently challenged to support older adults to maintain a certain level of Functional Independence (FI). FI is defined as "functioning physically safely and independent from another person, within one's own context". A Core Outcome Set was developed to measure FI. The purpose of this study was to assess discriminative validity of the Core Outcome Set FI (COSFI) in a population of Dutch older adults (≥ 65 years) with different levels of FI. Secondary objective was to assess to what extent the underlying domains 'coping', 'empowerment' and 'health literacy' contribute to the COSFI in addition to the domain 'physical capacity'. Methods: A population of 200 community-dwelling older adults and older adults living in residential care facilities were evaluated by the COSFI. The COSFI contains measurements on the four domains of FI: physical capacity, coping, empowerment and health literacy. In line with the COSMIN Study Design checklist for Patient-reported outcome measurement instruments, predefined hypotheses regarding prediction accuracy and differences between three subgroups of FI were tested. Testing included ordinal logistic regression analysis, with main outcome prediction accuracy of the COSFI on a proxy indicator for FI. Results: Overall, the prediction accuracy of the COSFI was 68%. For older adults living at home and depending on help in (i)ADL, prediction accuracy was 58%. 60% of the preset hypotheses were confirmed. Only physical capacity measured with Short Physical Performance Battery was significantly associated with group membership. Adding health literacy with coping or empowerment to a model with physical capacity improved the model significantly (p < 0.01). Conclusions: The current composition of the COSFI, did not yet meet the COSMIN criteria for discriminative validity. However, with some adjustments, the COSFI potentially becomes a valuable instrument for clinical practice. Context-related factors, like the presence of a spouse, also may be a determining factor in this population. It is recommended to include context-related factors in further research on determining FI in subgroups of older people.
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This report presents research on success factors of learning communities with a case study of the Innovation Lab Hanze International Business Office (further – Innovation Lab HIBO) at Hanze University of Applied Sciences Groningen, the Netherlands. The research project is a part of the broader research programme on innovation of education and the success factors of learning communities carried on by a number of researchers at Hanze University of Applied Sciences Groningen (further – Hanze University AS).In answering the main research question on success factors of learning communities and, specifically, the Innovation Lab HIBO, two sub-questions were formulated: the first deals with school level expectations about the Innovation Lab HIBO, whereas the second explores what are the institutional expectations and guidelines regarding living labs at Hanze University AS. The research focus is on formalised expectations about the goals and outcomes of living labs, as attaining the established goals and outcomes would testimony a successful activity of a living lab. The factors that facilitate or determine whether the goalsand outcomes of living labs are achieved are therefore the success factors.The analysis of both school level expectations about the Innovation Lab HIBO and the institutional expectations and guidelines regarding living labs reveals a number of success factors, conditions, and preconditions. As these do not coincide, it is argued that finding the right balance between local, school level, expectations and the institutional goals is crucial for the successful performance of living labs. Another important factor for successful performance of the living lab and, specifically the Innovation Lab HIBO, is development of a learning community. This process would require strengthening of an open organisationalculture and facilitation of exchange of ideas and learning process.The research project was carried on in the period from February 1, 2020, till August 30, 2020. From September 2020 the follow up research is planned into operationalization of success factors, definition of performance criteria, performance evaluation, development of suggestions for improvement of performance, and development of a blueprint for the establishment of innovation labs.
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Adverse Outcome Pathways (AOPs) are conceptual frameworks that tie an initial perturbation (molecular initiat- ing event) to a phenotypic toxicological manifestation (adverse outcome), through a series of steps (key events). They provide therefore a standardized way to map and organize toxicological mechanistic information. As such, AOPs inform on key events underlying toxicity, thus supporting the development of New Approach Methodologies (NAMs), which aim to reduce the use of animal testing for toxicology purposes. However, the establishment of a novel AOP relies on the gathering of multiple streams of evidence and infor- mation, from available literature to knowledge databases. Often, this information is in the form of free text, also called unstructured text, which is not immediately digestible by a computer. This information is thus both tedious and increasingly time-consuming to process manually with the growing volume of data available. The advance- ment of machine learning provides alternative solutions to this challenge. To extract and organize information from relevant sources, it seems valuable to employ deep learning Natural Language Processing techniques. We review here some of the recent progress in the NLP field, and show how these techniques have already demonstrated value in the biomedical and toxicology areas. We also propose an approach to efficiently and reliably extract and combine relevant toxicological information from text. This data can be used to map underlying mechanisms that lead to toxicological effects and start building quantitative models, in particular AOPs, ultimately allowing animal-free human-based hazard and risk assessment.
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Background: The transformation in global demography and the shortage of health care workers require innovation and efficiency in the field of health care. Digital technology can help improve the efficiency of health care. The Mercury Advance SMARTcare solution is an example of digital technology. The system is connected to a hybrid mattress and is able to detect patient movement, based on which the air pump either starts automatically or sends a notification to the app. Barriers to the adoption of the system are unknown, and it is unclear if the solution will be able to support health care workers in their work. Objective: This study aims to gain insight into health care workers’ expectations of factors that could either hamper or support the adoption of the Mercury Advance SMARTcare unit connected to a Mercury Advance mattress to help prevent patients from developing pressure injuries in hospitals and long-term care facilities. Methods: We conducted a generic qualitative study from February to December 2022. Interviews were conducted, and a focus group was established using an interview guide of health care workers from both the United Kingdom and the Netherlands. Thematic analysis was performed by 2 independent researchers. Results: A total of 14 participants took part in the study: 6 (43%) participants joined the focus group, and 8 (57%) participants took part in the individual interviews. We identified 13 factors based on four themes: (1) factors specifically related to SMARTresponse, (2) vision on innovation, (3) match with health care activities, and (4) materials and resources involved. Signaling function, SMARTresponse as prevention, patient category, representatives, and implementation strategy were identified as facilitators. Perception of patient repositioning, accessibility to pressure injury aids, and connectivity were identified as barriers. Conclusions: Several conditions must be met to enhance the adoption of the Mercury Advance SMARTcare solution, including the engagement of representatives during training and a reliable wireless network. The identified factors can be used to facilitate the implementation process. JMIR Nursing 2024;7:e47992
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QUESTION: Do negative expectations in patients after the onset of acute low back pain increase the odds of absence from usual work due to progression to chronic low back pain?DESIGN: Systematic review with meta-analysis of prospective inception cohort studies.PARTICIPANTS: Adults with acute or subacute non-specific low back pain.OUTCOME MEASURE: Absence from usual work at a given time point greater than 12 weeks after the onset of pain due to ongoing pain.RESULTS: Ten studies involving 4683 participants were included in the review. Participants with acute or subacute pain and negative expectations about their recovery had significantly greater odds of being absent from usual work at a given time point more than 12 weeks after the onset of pain: OR 2.17 (95% CI 1.61 to 2.91). The exclusion of five studies with the greatest risk of bias showed that the result was similar when more rigorous quality criteria were applied: OR 2.52 (95% CI 1.47 to 4.31).CONCLUSION: The odds that adults with acute or subacute non-specific low back pain and negative recovery expectations will remain absent from work due to progression to chronic low back pain are two times greater than for those with more positive expectations. These results were consistent across the included studies despite variations in the risk of bias.
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Supply chain partnerships within housing refurbishment have not been given much specific attention which may be found surprising because the refurbishment market is becoming of increasing importance compared to new construction and has specific characteristics that require adapted approaches to supply chain integration. In this paper approaches, expected benefits and challenges of supply chain partnerships within housing renovation are explored. From general literature on building process innovation, dimensions of supply chain integration and potential advantages and challenges of have been derived and employed in a preliminary inquiry among Dutch housing associations and their partners that are experimenting with supply chain partnering in housing refurbishment projects. The results indicate that approaches are in a relatively early stage of development towards ‘mature’ supply chain partnerships. Furthermore, many of the general expectations also apply to the Dutch housing refurbishment sector, but at a more detailed level, refurbishment may require specific attention for the division of tasks and risks between the partners, particularly regarding communication with tenants.
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Introduction The Integrated Recovery Scales (IRS) was developed by the Dutch National Expertise board for routine outcome monitoring with severe mental illnesses. This board aimed to develop a multidimensional recovery measure directed at 1. clinical recovery, 2. physical health, 3. social recovery (work, social contacts, independent living) and 4. existential, personal recovery. The measure had to be short, suited for routine outcome monitoring and present the perspective of both mental health professionals and service users with severe mental illnesses. All aspects are assessed over a period of the pas 6 months. Objectives The objective of this research is validation of the Integral Recovery Scales and to test the revelance for clinical practice and police evaluation. Methods The instrument was tested with 500 individuals with severe mental illnesses (80% individuals with a psychotic disorder), of whom 200 were followed up for 1 year. For the questions concerning clinical recovery, physical health and social recovery mental health care workers conducted semi structured interviews with people living with serious illnesses. The questions concerning personal health were self-rated. We analyzed interrater reliability, convergent and divergent validity and sensitivity to change. Results The instrument has a good validity and is easy to complete for service users and mental health care workers and appropriate for clinical and policy evaluation goals. Conclusions The Integrated Recovery Scales can be a useful instrument for a simple and meaningful routine outcome monitoring. Page: 121
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Aim. To report the expectations and experiences of general practitioners and practice nurses regarding the U-CARE programme, to gain a better understanding of the barriers and facilitators in providing proactive, structured care to frail older people and to determine whether implementation is feasible. Background. Care for older patients with complex care needs in primary care is fragmented, reactive and time consuming. A structured, proactive care programme was developed to improve physical functioning and quality of life in frail older patients. Design. An explanatory mixed-methods study nested in a cluster-randomized trial. Methods. The barriers to and needs for the provision of structured, proactive care, and expectations regarding the U-CARE programme were assessed with prequestionnaires sent to all participating general practitioners (n = 32) and practice nurses (n = 21) in October 2010. Postquestionnaires measured experiences with the programme after 5 months. Twelve months later, focus group meetings were conducted. Results. Practice nurses and general practitioners reported that it was difficult to provide proactive and structured care to older patients with multi-morbidity, different cultural backgrounds and low socioeconomic status. Barriers were a lack of time and financial compensation. Most general practitioners and practice nurses indicated that the programme added value for the coordination of care and allowed them to provide structured care. Conclusion. This explanatory mixed-methods study showed that general practitioners and practice nurses perceived the U-CARE programme as feasible in general practice. A transition was made from reactive, ad hoc care towards a proactive and preventive care approach
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