Zoekresultaten

Developing interprofessional care plans in chronic care

Background: The number of people suffering from one or more chronic conditions is rising, resulting in an increase in patients with complex health care demands. Interprofessional collaboration and the use of shared care plans support the management of complex health care demands of patients with chronic illnesses. This study aims to get an overview of the scientific literature on developing interprofessional shared care plans. Methods: We conducted a scoping review of the scientific literature regarding the development of interprofessional shared care plans. A systematic database search resulted in 45 articles being included, 5 of which were empirical studies concentrating purely on the care plan. Findings were synthesised using directed content analysis. Results: This review revealed three themes. The first theme was the format of the shared care plan, with the following elements: patient’s current state; goals and concerns; actions and interventions; and evaluation. The second theme concerned the development of shared care plans, and can be categorised as interpersonal, organisational and patient-related factors. The third theme covered tools, whose main function is to support professionals in sharing patient information without personal contact. Such tools relate to documentation of and communication about patient information. Conclusion: Care plan development is not a free-standing concept, but should be seen as the result of an underlying process of interprofessional collaboration between team members, including the patient. To integrate the patients’ perspectives into the care plans, their needs and values need careful consideration. This review indicates a need for new empirical studies examining the development and use of shared care plans and evaluating their effects.

Protocol for a pre-implementation and post-implementation study on shared decision-making in the surgical treatment of women with early-stage breast cancer

Background: The majority of patients diagnosed with early-stage breast cancer are in a position to choose between having a mastectomy or lumpectomy with radiation therapy (breast-conserving therapy). Since the long-term survival rates for mastectomy and for lumpectomy with radiation therapy are comparable, patients’ informed preferences are important for decision-making. Although most clinicians believe that they do include patients in the decision-making process, the information that women with breast cancer receive regarding the surgical options is often rather subjective, and does not invite patients to express their preferences. Shared decision-making (SDM) is meant to help patients clarify their preferences, resulting in greater satisfaction with their final choice. Patient decision aids can be very supportive in SDM. We present the protocol of a study to β test a patient decision aid and optimise strategies for the implementation of SDM regarding the treatment of early-stage breast cancer in the actual clinical setting. Methods/design: This paper concerns a preimplementation and post-implementation study, lasting from October 2014 to June 2015. The intervention consists of implementing SDM using a patient decision aid. The intervention will be evaluated using qualitative and quantitative measures, acquired prior to, during and after the implementation of SDM. Outcome measures are knowledge about treatment, perceived SDM and decisional conflict. We will also conduct face-to-face interviews with a sample of these patients and their care providers, to assess their experiences with the implementation of SDM and the patient decision aid.

“Is there a fit?”

Application of Yolov8 and Detectron2 for Bullet Hole Detection and Score Calculation From the Shooting Cards

The paper introduced an automatic score detection model using object detection techniques. The performance of sevenmodels belonging to two different architectural setups was compared. Models like YOLOv8n, YOLOv8s, YOLOv8m, RetinaNet-50, and RetinaNet-101 are single-shot detectors, while Faster RCNN-50 and Faster RCNN-101 belong to the two-shot detectors category. The dataset was manually captured from the shooting range and expanded by generating more versatile data using Python code. Before the dataset was trained to develop models, it was resized (640x640) and augmented using Roboflow API. The trained models were then assessed on the test dataset, and their performance was compared using matrices like mAP50, mAP50-90, precision, and recall. The results showed that YOLOv8 models can detect multiple objects with good confidence scores.

What students learn from IPD projects

An on-going investigation in the learning effects of IPD projects. In three subsequent semesters the students were asked how they rated their competencies at the start of the project as well as at the end of it. Also questionnaires were filled out and students were interviewed. A lot of students tended to give themselves lower ratings in the end than in the begin. It appeared that if they met any difficulties in for instance communication or co-operation during the project, that they interpreted this as a decrease in competencies. Finally the students were explicitly asked to mention an eventual increase in competencies and also a possible contribution for this effect. Only a few factors that actually contribute to the learning effects have been defined.

Learning effects of Fontys integrated product development projects

An investigation in the learning effects of integrated development projects. In two subsequent semesters the students were asked how they rated their competencies at the start of the project as well as at the end of it. The students voluntarily filled out a questionnaire. After the last questionnaire a number of students were also interviewed in order to learn more about their perceptions. It was a remarkable outcome of these interviews that a lot of students tended to give themselves lower ratings in the end if they met any difficulties in for instance communication or co-operation during the project. Then the questionnaire showed a decrease in the student's ratings, while anyone else would say the student did learn something after recognizing these difficulties. It required a different interpretation of the outcomes of the questionnaires. The investigation showed that co-operating in general and in multidisciplinary teams in particular, co-operating with companies and also working according to plans are the four objectives that are recognized mostly by the students. The factors that actually contribute to, or block, the learning effects remained unknown yet.