Deze eindrapportage van het project ‘competenties van de zorgprofessional van de toekomst’ is uitgevoerd in opdracht van de Health Hub Utrecht, Coalitie Aantrekkelijke Arbeidsmarkt. De rapportage is tot stand gekomen met inbreng van een groot aantal mensen uit zorg, welzijn en opleidingen, die in dialoogsessies mee hebben gedacht over hoe de zorgprofessional van de toekomst goed toegerust kan worden. Met elkaar is gezocht naar de uitdagingen die zorg en welzijn, en opleidingen denken tegen te komen richting 2030 en er is nagedacht over richtingen die bijdragen aan het goed toerusten van deze professionals. De tweede publicatie betreft het tussenrapport: Competenties van de zorg- en welzijnsprofessional van de toekomst: Tussenrapportage ter afsluiting van fase 1. (Drs. J. Dijkstra RN, dr. M. Jacobs, Drs. B. Berkhout, 2023)
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In BMC Oral Health verscheen het volgende artikel van Inholland-docente en promovenda Janneke Scheerman (en collega’s). Background: Adolescents with fixed orthodontic appliances are at high risk of developing dental caries. To date, new smartphone technologies have seldom been used to support them in the preventive behavior that can help prevent dental caries. After an intervention-mapping process, we developed a smartphone application (the WhiteTeeth app) for preventing dental caries through improved oral-health behavior and oral hygiene. The app, which is intended to be used at home, will help adolescents with fixed orthodontic appliances perform their oral self-care behavior. The app is based on the Health Action Process Approach (HAPA) theory, and incorporates several behavior-change techniques that target the psychosocial factors of oral-health behavior. This article describes the protocol of a randomized controlled trial (RCT) to evaluate the effects of the WhiteTeeth app on oral-health behavior and oral-hygiene outcomes (presence of dental plaque and gingival bleeding) compared with those of care as usual, in patients aged 12–16 with fixed orthodontic appliances.
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Heritable Connective Tissue Disorders (HCTD) show an overlap in the physical features that can evolve in childhood. It is unclear to what extent children with HCTD experience burden of disease. This study aims to quantify fatigue, pain, disability and general health with standardized validated questionnaires.METHODS: This observational, multicenter study included 107 children, aged 4-18 years, with Marfan syndrome (MFS), 58%; Loeys-Dietz syndrome (LDS), 7%; Ehlers-Danlos syndromes (EDS), 8%; and hypermobile Ehlers-Danlos syndrome (hEDS), 27%. The assessments included PROMIS Fatigue Parent-Proxy and Pediatric self-report, pain and general health Visual-Analogue-Scales (VAS) and a Childhood Health Assessment Questionnaire (CHAQ).RESULTS: Compared to normative data, the total HCTD-group showed significantly higher parent-rated fatigue T-scores (M = 53 (SD = 12), p = 0.004, d = 0.3), pain VAS scores (M = 2.8 (SD = 3.1), p < 0.001, d = 1.27), general health VAS scores (M = 2.5 (SD = 1.8), p < 0.001, d = 2.04) and CHAQ disability index scores (M = 0.9 (SD = 0.7), p < 0.001, d = 1.23). HCTD-subgroups showed similar results. The most adverse sequels were reported in children with hEDS, whereas the least were reported in those with MFS. Disability showed significant relationships with fatigue (p < 0.001, rs = 0.68), pain (p < 0.001, rs = 0.64) and general health (p < 0.001, rs = 0.59).CONCLUSIONS: Compared to normative data, children and adolescents with HCTD reported increased fatigue, pain, disability and decreased general health, with most differences translating into very large-sized effects. This new knowledge calls for systematic monitoring with standardized validated questionnaires, physical assessments and tailored interventions in clinical care.
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BACKGROUND & AIMS: Dietetic interventions contribute to certain health objectives and other outcomes, but are mostly part of a multimodal and multidisciplinary approach what makes evaluating the actual effects of dietitians' involvement rather complex. Although monitoring and outcome evaluation (M&OE) can provide routine data to prove the effectiveness of dietetic interventions, this has not been established yet in different dietetic settings.METHODS: A comprehensive framework for M&OE in dietetics was developed by dietetic experts from five European higher education institutes for dietetics in the course of the EU sponsored project "Improvement of Education and Competences in Dietetics (IMPECD)".RESULTS: Firstly, clear definitions on M&OE are proposed to facilitate the use of consistent terminology, with a specific emphasis on the term "impact" covering macro-level outcomes such as cost-effectiveness. Secondly, the Dietetic Care Process (DCP) was merged into a logic model to demonstrate the position of M&OE in relation to intervention planning and implementation, in both group and individual settings. Thirdly, selecting the appropriate indicators is indispensable to monitor and evaluate outcomes, and requires a high level of dietitians' critical reasoning. A categorized overview of indicators is provided to support this process. Lastly, the consortium developed a checklist to give dietitians a handle on what elements could be included in their M&OE plan and trigger them to perform M&OE in practice.CONCLUSIONS: Innovative M&OE models may help dietitians to demonstrate their effectiveness in improving clinical outcomes and justify their role in health care.
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Background: The prescription of physical activity (PA) in clinical care has been advocated worldwide. This “exercise is medicine” (E=M) concept can be used to prevent, manage, and cure various lifestyle-related chronic diseases. Due to severalchallenges, E=M is not yet routinely implemented in clinical care. Objective: This paper describes the rationale and design of the Physicians Implement Exercise = Medicine (PIE=M) study, which aims to facilitate the implementation of E=M in hospital care.Methods: PIE=M consists of 3 interrelated work packages. First, levels and determinants of PA in different patient and healthy populations will be investigated using existing cohort data. The current implementation status, facilitators, and barriers of E=M will also be investigated using a mixed-methods approach among clinicians of participating departments from 2 diverse university medical centers (both located in a city, but one serving an urban population and one serving a more rural population). Implementation strategies will be connected to these barriers and facilitators using a systematic implementation mapping approach. Second, ageneric E=M tool will be developed that will provide tailored PA prescription and referral. Requirements for this tool will be investigated among clinicians and department managers. The tool will be developed using an iterative design process in which all stakeholders reflect on the design of the E=M tool. Third, we will pilot-implement the set of implementation strategies, including the E=M tool, to test its feasibility in routine care of clinicians in these 2 university medical centers. An extensive learning process evaluation will be performed among clinicians, department managers, lifestyle coaches, and patients using a mixed-methods design based on the RE-AIM framework. Results: This project was approved and funded by the Dutch grant provider ZonMW in April 2018. The project started in September 2018 and continues until December 2020 (depending on the course of the COVID-19 crisis). All data from the first work package have been collected and analyzed and are expected to be published in 2021. Results of the second work package are described. The manuscript is expected to be published in 2021. The third work package is currently being conducted in clinical practice in 4 departments of 2 university medical hospitals among clinicians, lifestyle coaches, hospital managers, and patients. Results are expected to be published in 2021. Conclusions: The PIE=M project addresses the potential of providing patients with PA advice to prevent and manage chronicdisease, improve recovery, and enable healthy ageing by developing E=M implementation strategies, including an E=M tool, in routine clinical care. The PIE=M project will result in a blueprint of implementation strategies, including an E=M screening and referral tool, which aims to improve E=M referral by clinicians to improve patients’ health, while minimizing the burden on clinicians.
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From the publisher: "Background: The introduction of whole new foods in a population may lead to sensitization and food allergy. This constitutes a potential public health problem and a challenge to risk assessors and managers as the existing understanding of the pathophysiological processes and the currently available biological tools for prediction of the risk for food allergy development and the severity of the reaction are not sufficient. There is a substantial body of in vivo and in vitro data describing molecular and cellular events potentially involved in food sensitization. However, these events have not been organized in a sequence of related events that is plausible to result in sensitization, and useful to challenge current hypotheses. The aim of this manuscript was to collect and structure the current mechanistic understanding of sensitization induction to food proteins by applying the concept of adverse outcome pathway (AOP). Main body: The proposed AOP for food sensitization is based on information on molecular and cellular mechanisms and pathways evidenced to be involved in sensitization by food and food proteins and uses the AOPs for chemical skin sensitization and respiratory sensitization induction as templates. Available mechanistic data on protein respiratory sensitization were included to fill out gaps in the understanding of how proteins may affect cells, cell-cell interactions and tissue homeostasis. Analysis revealed several key events (KE) and biomarkers that may have potential use in testing and assessment of proteins for their sensitizing potential. Conclusion: The application of the AOP concept to structure mechanistic in vivo and in vitro knowledge has made it possible to identify a number of methods, each addressing a specific KE, that provide information about the food allergenic potential of new proteins. When applied in the context of an integrated strategy these methods may reduce, if not replace, current animal testing approaches. The proposed AOP will be shared at the www.aopwiki.org platform to expand the mechanistic data, improve the confidence in each of the proposed KE and key event relations (KERs), and allow for the identification of new, or refinement of established KE and KERs." Authors: Jolanda H. M. van BilsenEmail author, Edyta Sienkiewicz-Szłapka, Daniel Lozano-Ojalvo, Linette E. M. Willemsen, Celia M. Antunes, Elena Molina, Joost J. Smit, Barbara Wróblewska, Harry J. Wichers, Edward F. Knol, Gregory S. Ladics, Raymond H. H. Pieters, Sandra Denery-Papini, Yvonne M. Vissers, Simona L. Bavaro, Colette Larré, Kitty C. M. Verhoeckx and Erwin L. Roggen
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Background: Effective and sustainable interventions are needed to counteract the decline in physical function and sarcopenia in the growing aging population. The aim of this study was to determine the 6 and 12 month effectiveness of blended (e-health + coaching) home-based exercise and a dietary protein intervention on physical performance in community-dwelling older adults. Methods: This cluster randomized controlled trial allocated 45 clusters of older adults already engaged in a weekly community-based exercise programme. The clusters were randomized to three groups with ratio of 16:15:14; (i) no intervention, control (CON); (ii) blended home-based exercise intervention (HBex); and (iii) HBex with dietary protein counselling (HBex-Pro). Both interventions used a tablet PC with app and personalized coaching and were targeting on behaviour change. The study comprised coached 6 month interventions with a 6 month follow-up. The primary outcome physical performance was assessed by modified Physical Performance Test (m-PPT). Secondary outcomes were gait speed, physical activity level (PAL), handgrip muscle strength, protein intake, skeletal muscle mass, health status, and executive functioning. Linear mixed models of repeated measured were used to assess intervention effects at 6 and 12 months. Results: The population included 245 older adults (mean age 72 ± 6.5 (SD) years), 71% female, and 54% co-morbidities observed. Dropout of the intervention was 18% at 6 months and 26% at 12 months. Participants were well functioning, based on an m-PPT score of 33.9 (2.8) out of 36. For the primary outcome m-PPT, no significant intervention effects (HBex, +0.03, P = 0.933; HBex-Pro, −0.13, P = 0.730) were found. Gait speed (+0.20 m/s, P = 0.001), PAL (+0.06, P = 0.008), muscle strength (+2.32 kg, P = 0.001), protein intake (+0.32 g/kg/day, P < 0.001), and muscle mass (+0.33 kg, P = 0.017) improved significantly in the HBex-Pro group compared with control group after 6 month intervention. The protein intake, muscle mass, and strength remained significantly improved after 12 months as compared with those of control. Health change and executive functioning improved significantly in both intervention groups after 6 months. Conclusions: This HBex and dietary protein interventions did not change the physical performance (m-PPT) in community-dwelling older adults. Changes were observed in gait speed, PAL, muscle mass, strength, and dietary protein intake, in response to this combined intervention.
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Introduction: The 6-minute walk test is a submaximal exercise test used to quantify the functional exercise capacity in clinical populations. It measures the distance walked within a period of 6-minutes. Obtaining reference values in the pediatric population is especially demanding due to factors as the development stage and age. RV provide a comparative basis for answering questions concerning the normality of health status, exercise responses and functional exercise capacity in patients. Areas covered: The aim of this review is to provide an overview of reference values and reference value prediction equations for the 6-minute walk test in the children and in adolescent pediatric population and of the methodology used to obtain them. A total of 22 studies from MEDLINE, EMBASE and Cinahl were included containing healthy participants aged ≤18 years. Reported reference values ranged from 383 m ± 41 m to 799 m ± 54 m. The prediction equation 6MWD = (4.63*height(cm))–(3.53*weight(kg))+(10.42*age)+56.32 yields the highest R2 value (0.6). Expert commentary: It is impossible to present a single best reference value. A flow-chart is presented to aid the selection of reference values or reference value prediction equations. Consensus regarding testing procedures should lead to an update and stricter application of the current guidelines.
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Which factors are important for effectiveness of sport- and health-related apps? Results of focus groups with experts.Dallinga, J, van der Werf, J , Janssen, M, Vos, S, Deutekom-Baart de la Faille, M.A huge amount of sport- and health-related smartphone applications (apps) is available in the app stores [1]. These apps are often used by individual recreational athletes participating in running, walking or cycling [2]. Exercise apps ideally should support athletes and encourage them to be physical active in a frequent and healthy way. In order to reach these goals, more insight into the value of different app features is necessary. With this knowledge the health enhancing effects of apps can be improved. Therefore the aim of this study was to identify which features in sport- and health-related apps are important for stimulating and maintaining physical activity. Two focus groups (n=4 & n=3) were organized to identify and rank app features relevant for increasing and maintaining physical activity. These groups were facilitated by two of the authors (JD and JvdW). A nominal group technique was used. Seven behavioral and sport scientists participated in the focus groups consisting of three consultation rounds. In the first round these experts were asked to individually list all factors that they found necessary for increasing and maintaining physical activity. After that, all factors were collected, explained and listed on a white board. In the second round the experts were asked to individually rank the ten most important features. Subsequently, these rankings were discussed groupwise. In the last round, the experts individually made a final ranking of the ten most important features. In addition, they were also asked to appoint a score to each feature (0-100), to indicate the importance.The participants in the focus groups generated 28 and 24 features respectively in round one. After combining these features and checking for duplicates, we reduced the number of features to 25. Factors with highest frequency in the top 10 most important factors were ‘usability’ (n=7), ‘monitoring’ (n=5), ‘fun’ (n=5), ‘anticipating/context awareness’ (n=5) and ‘motivational feedback’ (n=4). Factors with highest importance scores were ‘instructional feedback’ (95.0), ‘motivating/challenging’ (95.0), ‘monitoring’ (92.5), ‘peer rating and peer use’ (92.0) and ‘motivational feedback’ (91.3). In conclusion, based on opinions of behavioral and sport scientists several app features were extracted related to physical activity, with instructional feedback and features that motivate or challenge the athlete as most important. A smart and tailored app may need to be developed that can provide feedback and anticipate on the environment. A feature for monitoring and a fun element may need to be included as well. Interestingly, usability was mentioned by all experts, this seems to be a premise for effectiveness of the app. Based on the results of this study, currently available exercise app rating scales could be revised [3, 4].This research is cofinanced by ‘Regieorgaan SIA’, part of the Netherlands Organisation for Scientific Research (NWO) and by the Dutch national program COMMIT.References[1] Yuan S, Ma W, Kanthawala S, Peng W. Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model. Telemed J E Health. 2015 Sep;21(9):735-41. doi: 10.1089/tmj.2014.0148.[2] Dallinga JM., Janssen M, van der Bie J, Nibbeling N, Krose B, Goudsmit J, Megens C, Baart de la Faille-Deutekom M en Vos S. De rol van innovatieve technologie in het stimuleren van sport en bewegen in de steden Amsterdam en Eindhoven. Vrijtijdstudies. 2016, 34 (2): 43-57.[3] Abraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol. 2008 May;27(3):379-87. doi: 10.1037/0278-6133.27.3.379.[4] Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth. 2015 Mar 11;3(1):e27. doi: 10.2196/mhealth.3422
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BackgroundNurses need to exhibit stronger leadership by taking more responsibility and accountability to improve healthcare quality and patient safety.AimsThe aim of this study was to determine the association between quality of care and leadership styles and practices, and whether the characteristics of nurses influence this interaction.MethodsWe conducted a multicentre cross-sectional survey of 655 nurses working on clinical wards in Dutch university medical centres in 2018.ResultsTransformational leadership was significantly associated with quality of care which explained 5.9% of the total variance (R2 = 0.059 F = (11,643) = 3.726, p = 0.011), and the nurse characteristics gender, profession and type of practice area were significant influencing factors. Nurses rated the quality of care (mean (M) = 7.7, standard deviation (SD) = 1.3) as moderate and they showed moderate levels of transformational leadership style (M = 3.7, SD = 0.5) and transformational leadership practices (M ≥ 6.2 and ≤ 7.6).ConclusionsWhen considering quality improvement on clinical wards strategic managers need to be aware of the fact that leadership is associated with quality of care and that nurse characteristics influence this association. The findings indicate a pressing need for education and training for nurses in how to develop leadership and raising the awareness among strategic managers about the importance of leadership in health care is recommended.
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