Patients diagnosed with esophageal cancer have to deal with the consequences, such as major impact on their physical status and quality of life. A digital self-management tool could be a solution to support these patients in their self-management during the peri-operative period. This dissertation resulted in a better understanding of patients' needs and desires for (digital) self-management support during pre- (and post-operative) care. In addition, a core set consisting of the most relevant topics for self-management was developed. Differences were found between esophageal cancer patients in their expectations and needs regarding self-management and eHealth for self-management support. It is important to apply a diversity of forms of support given the increased desire to provide person-centered care and the fact that no single approach will meet the needs of all patients at all times. The development of a new (digital) self-management intervention to support these patients can be based on the results of the various studies in this dissertation.
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Surgery aims to improve a patient’s medical condition. However, surgery is a major life event with the risk of negative consequences, like peri- and postoperative complications, prolonged hospitalization and delayed recovery of physical functioning. One of the major common side effects, functional decline, before (in the “waiting” period), during and after hospitalization is impressive, especially in frail people. Preoperative screening aims to identify frail, highrisk patients at an early stage, and advice these high-risk patients to start supervised preoperative home-based exercise training (prehabilitation) as soon as possible. Depending on the health status of the patient and his/her outcomes during the screening and the type of surgery, prehabilitation should focus on respiratory, cardiovascular and/or musculoskeletal parameters to prepare the patient for surgery. By improving preoperative physical fitness, a patient is able to better with stand the impact of major surgery and this will lead to a both reduced risk of negative side effects and better short term outcomes as a result. Besides prehabilitation hospital culture and infrastructure should be inherently activating so that patients stay as active as can be, socially, mentally and physically. In the first part of this chapter the concept of prehabilitation and different parameters that should be trained will be described. The second part focuses on the “Better in, Better out” (BiBo™) strategy, which aims to optimize patient’s pre-, peri- and postoperative physical fitness. Prehabilitation should comprise “shared decisions” between patient and physical therapist regarding experience and evidence based best options for rehabilitation goals, needs, and potential of the individual patient and his/her (in) formal support-system. Next, a case will describe the preoperative care pathway. This chapter will close with conclusions about how moving people before and after surgery will improve their outcomes.
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Summary Purpose The purpose of this study was to investigate the adoption and actual use of a digital dietary monitoring system (DDMS) and its impact on patient satisfaction with the provided hospital care, body weight changes and health-related quality of life (HRQoL) in patients with potentially curable esophageal cancer planned for surgery. The DDMS enables patients and dietitians to monitor patients' nutritional intake and body weight during the preoperative period. Methods In this prospective observational study, the first 47 included patients received usual nutritional care, and were followed from diagnosis until surgery. After implementation of the DDMS 37 patients were followed, again from diagnosis until surgery. Main outcomes were actual use of the DDMS, by means of adoption and usage measures, overall patient satisfaction (EORTC-INPATSAT32), weight change and HRQoL (EORTC QLQ-C30 and EORTC-OG25). Outcomes were assessed immediately after diagnosis, and 6 and 12 weeks later. Results The system had an adoption rate of 64% and a usage rate of 78%. No significant effects on patient satisfaction were found at 12 weeks after diagnosis between the intervention and the usual care group. The implementation of the DDMS also had no significant effect on body weight and HRQoL over time. Conclusions Patients with potentially curable esophageal cancer planned for surgery were able to use the DDMS. However, no significant effects on patient satisfaction, body weight changes and HRQoL were observed. Further research should focus on the specific needs of patients regarding information and support to preoperatively optimize nutritional intake and nutritional status.
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