Evaluating task shifting to the clinical technologist in Dutch healthcare: A mixed methods study

BACKGROUND

Expected rise in the demand for healthcare and a dropping supply of healthcare professionals, has generated an increased interest in the most effective deployment of healthcare professionals. Consequently, task shifting has become a common strategy to redistribute tasks between established professional groups, however, little is known about the effects of shifting tasks to emerging professional groups. The aim of this study was to evaluate a legal amendment to facilitate task shifting to an emerging profession in Dutch healthcare: Clinical Technologists (CTs). CTs were introduced and provided an Extended Scope of Practice (ESP) to perform nine 'reserved procedures' independently.

METHODS

A concurrent multi-phase mixed methods study was used to evaluate whether a legal amendment to facilitate task shifting to CTs was effective and efficient.

RESULTS

The results show that CTs use their ESP frequently to perform five categories of reserved procedures independently and suggest that the ESP increased the efficiency of care delivery for those procedures. Additionally, the findings highlight that task shifting was influenced by the setting in which CTs worked, time allotted to patient-contact as well as external factors (e.g., financing).

CONCLUSIONS

This study provides tentative lessons for policymakers on how task shifting to emerging professional groups can be improved. Providing a legal amendment to facilitate task shifting to CTs seems to be effective and efficient. However, it also poses multiple challenges. While established professional groups can face similar challenges, it is likely that these are exacerbated for emerging professional groups, particularly when shifting tasks occurs horizontally.

BMI trajectories after primary school-based lifestyle intervention: Unravelling an uncertain future. A mixed methods study

This mixed methods study aimed to examine plausible body mass index (BMI) trajectories after exposure to a primary school-based lifestyle intervention to aid in estimating the long-term intervention benefits. BMI trajectories for children at control schools (mean 7.6 years of age) were modelled until 20 years of age through extrapolating trial evidence (N = 1647). A reference scenario assumed that the observed 2-year effects of the 'Healthy Primary Schools of the Future' (HPSF) and 'Physical Activity Schools' (PAS) were fully maintained over time. This was modelled by applying the observed 2-year BMI effects until 20 years of age. Expert opinions on likely trends in effect maintenance after the 2-year intervention period were elicited qualitatively and quantitatively, and were used for developing alternative scenarios. Expert elicitation revealed three scenarios: (a) a constant exposure-effect and an uncontrolled environment with effect decay scenario, (b) a household multiplier and an uncontrolled environment with effect decay scenario, and (c) a household multiplier and maintainer scenario. The relative effect of HPSF at 20 years of age was -0.21 kg/m2 under the reference scenario, and varied from -0.04 kg/m2 (a) to -0.06 kg/m2 (b), and -0.50 kg/m2 (c). For PAS, the relative effect was -0.17 kg/m2 under the reference scenario, and varied from -0.04 kg/m2 (a, b), to -0.21 kg/m2 (c). The mixed methods approach proved to be useful in modelling plausible BMI trajectories and specifying uncertainty on effect maintenance. Further observations until adulthood could reduce the uncertainty around future benefits. This trial was retrospectively registered at Clinicaltrials.gov (NCT02800616).