Implementation fidelity trajectories of a health promotion program in multidisciplinary settings: managing tensions in rehabilitation care.

Although the importance of evaluating implementation fidelity is acknowledged, little is known about heterogeneity in fidelity over time. This study aims to generate insight into the heterogeneity in implementation fidelity trajectories of a health promotion program in multidisciplinary settings and the relationship with changes in patients' health behavior.This study used longitudinal data from the nationwide implementation of an evidence-informed physical activity promotion program in Dutch rehabilitation care. Fidelity scores were calculated based on annual surveys filled in by involved professionals (n = ± 70). Higher fidelity scores indicate a more complete implementation of the program's core components. A hierarchical cluster analysis was conducted on the implementation fidelity scores of 17 organizations at three different time points. Quantitative and qualitative data were used to explore organizational and professional differences between identified trajectories. Regression analyses were conducted to determine differences in patient outcomes.Three trajectories were identified as the following: 'stable high fidelity' (n = 9), 'moderate and improving fidelity' (n = 6), and 'unstable fidelity' (n = 2). The stable high fidelity organizations were generally smaller, started earlier, and implemented the program in a more structured way compared to moderate and improving fidelity organizations. At the implementation period's start and end, support from physicians and physiotherapists, professionals' appreciation, and program compatibility were rated more positively by professionals working in stable high fidelity organizations as compared to the moderate and improving fidelity organizations (p < .05). Qualitative data showed that the stable high fidelity organizations had often an explicit vision and strategy about the implementation of the program. Intriguingly, the trajectories were not associated with patients' self-reported physical activity outcomes (adjusted model β = - 651.6, t(613) = - 1032, p = .303).Differences in organizational-level implementation fidelity trajectories did not result in outcome differences at patient-level. This suggests that an effective implementation fidelity trajectory is contingent on the local organization's conditions. More specifically, achieving stable high implementation fidelity required the management of tensions: realizing a localized change vision, while safeguarding the program's standardized core components and engaging the scarce physicians throughout the process. When scaling up evidence-informed health promotion programs, we propose to tailor the management of implementation tensions to local organizations' starting position, size, and circumstances.The Netherlands National Trial Register NTR3961 . Registered 18 April 2013

Physiotherapy and bronchial mucus transport

The use of physiotherapeutic techniques may increase mucus transport in patients with airways disease including COPD, asthma, cystic fibrosis and primary ciliary dyskinesia. The most effective parts of the treatment are probably forced expirations with open glottis and coughing. However, in patients with decreased elastic recoil pressure of the lung tissue the effect of these measures is limited as a result of bronchial collapse. In these patients the bronchial collapse can be reduced by a positive expiratory pressure breathing. ... Zie: Summary

Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population : data from the LowLands Fitness Registry

Peak oxygen uptake (V'O2peak) is recognised as the best expression of aerobic fitness. Therefore, it is essential that V'O2peak reference values are accurate for interpreting a cardiopulmonary exercise test (CPET). These values are country specific and influenced by underlying biological ageing processes. They are normally stratified per paediatric and adult population, resulting in a discontinuity at the transition point between prediction equations. There are currently no age-related reference values available for the lifespan of individuals in the Dutch population. The aim of this study is to determine the best-fitting regression model for V'O2peak in the healthy Dutch paediatric and adult populations in relation to age. In this retrospective study, CPET cycle ergometry results of 4477 subjects without reported somatic diseases were included (907 females, age 7.9-65.0 years). Generalised additive models were employed to determine the best-fitting regression model. Cross-validation was performed against an independent dataset consisting of 3518 subjects (170 females, age 6.8-59.0 years). An additive model was the best fitting with the largest predictive accuracy in both the primary (adjusted R2=0.57, standard error of the estimate (see)=556.50 mL·min-1) and cross-validation (adjusted R2=0.57, see=473.15 mL·min-1) dataset. This study provides a robust additive regression model for V'O2peak in the Dutch population

Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population : data from the LowLands Fitness Registry

Peak oxygen uptake (V'O2peak) is recognised as the best expression of aerobic fitness. Therefore, it is essential that V'O2peak reference values are accurate for interpreting a cardiopulmonary exercise test (CPET). These values are country specific and influenced by underlying biological ageing processes. They are normally stratified per paediatric and adult population, resulting in a discontinuity at the transition point between prediction equations. There are currently no age-related reference values available for the lifespan of individuals in the Dutch population. The aim of this study is to determine the best-fitting regression model for V'O2peak in the healthy Dutch paediatric and adult populations in relation to age. In this retrospective study, CPET cycle ergometry results of 4477 subjects without reported somatic diseases were included (907 females, age 7.9-65.0 years). Generalised additive models were employed to determine the best-fitting regression model. Cross-validation was performed against an independent dataset consisting of 3518 subjects (170 females, age 6.8-59.0 years). An additive model was the best fitting with the largest predictive accuracy in both the primary (adjusted R2=0.57, standard error of the estimate (see)=556.50 mL·min-1) and cross-validation (adjusted R2=0.57, see=473.15 mL·min-1) dataset. This study provides a robust additive regression model for V'O2peak in the Dutch population

Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population: data from the LowLands Fitness Registry

Peak oxygen uptake (V'O2peak) is recognised as the best expression of aerobic fitness. Therefore, it is essential that V'O2peak reference values are accurate for interpreting a cardiopulmonary exercise test (CPET). These values are country specific and influenced by underlying biological ageing processes. They are normally stratified per paediatric and adult population, resulting in a discontinuity at the transition point between prediction equations. There are currently no age-related reference values available for the lifespan of individuals in the Dutch population. The aim of this study is to determine the best-fitting regression model for V'O2peak in the healthy Dutch paediatric and adult populations in relation to age. In this retrospective study, CPET cycle ergometry results of 4477 subjects without reported somatic diseases were included (907 females, age 7.9-65.0 years). Generalised additive models were employed to determine the best-fitting regression model. Cross-validation was performed against an independent dataset consisting of 3518 subjects (170 females, age 6.8-59.0 years). An additive model was the best fitting with the largest predictive accuracy in both the primary (adjusted R2=0.57, standard error of the estimate (see)=556.50 mL·min-1) and cross-validation (adjusted R2=0.57, see=473.15 mL·min-1) dataset. This study provides a robust additive regression model for V'O2peak in the Dutch population

Peak oxygen uptake reference values for cycle ergometry for the healthy Dutch population:data from the LowLands Fitness Registry

Peak oxygen uptake (V'O(2)peak) is recognised as the best expression of aerobic fitness. Therefore, it is essential that V'O(2)peak reference values are accurate for interpreting a cardiopulmonary exercise test (CPET). These values are country specific and influenced by underlying biological ageing processes. They are normally stratified per paediatric and adult population, resulting in a discontinuity at the transition point between prediction equations. There are currently no age-related reference values available for the lifespan of individuals in the Dutch population. The aim of this study is to determine the best-fitting regression model for V'O(2)peak in the healthy Dutch paediatric and adult populations in relation to age. In this retrospective study, CPET cycle ergometry results of 4477 subjects without reported somatic diseases were included (907 females, age 7.9-65.0 years). Generalised additive models were employed to determine the best-fitting regression model. Cross-validation was performed against an independent dataset consisting of 3518 subjects (170 females, age 6.8-59.0 years). An additive model was the best fitting with the largest predictive accuracy in both the primary (adjusted R-2=0.57, standard error of the estimate (SEE)=556.50 mL.min(-1)) and cross-validation (adjusted R-2=0.57, SEE=473.15 mL.min(-1)) dataset. This study provides a robust additive regression model for V'O(2)peak in the Dutch population

Validation of the Dutch cystic fibrosis questionnaire (CFQ) in adolescents and adults

AbstractBackground: This study assesses the reliability and validity of the Dutch version of a disease-specific measure of health-related quality of life (HRQOL) for adolescents and adults with CF (CFQ-14+). The 47-item CFQ-14+ covers nine domains, three symptom scales and one health perception scale. Methods: To assess psychometric characteristics of the CFQ-14+, cross-sectional (homogeneity, discriminative and construct validity) and test–retest designs were used. Eighty-four adolescents and adults with CF (mean age: 21.4 years, range 14.0–46.5 years) and a wide range of lung function (mean FEV1: 59,9% predicted, range 15–121%) completed the questionnaire during a routine visit. Results: Internal consistency was acceptable for most domains of the CFQ-14+ (α=0.43–0.92) and test–retest reliability was high for all domain scores (0.72–0.98). Several domains of the CFQ-14+ were able to differentiate between individuals with varying disease severity and between nourished and malnourished patients. Construct validity of the questionnaire was fair, with moderate to strong correlation between physically orientated domains and pulmonary function (rs=0.36–0.62). Conclusion: The results demonstrate that the CFQ-14+ questionnaire is a well-validated measure of HRQOL assessment in adolescents and adults with CF