Feasibility of OptiMaL, a Self-Management Programme for Oesophageal Cancer Survivors

Self-care advice for patients after surgery for oesophageal cancer - a mixed-methods systematic review

PURPOSE

The aim of the literature review was to identify and synthesise research on self-care advice for oesophageal cancer survivors.

METHODS

A mixed-methods systematic review and synthesis of existing literature on the topic. Five databases were searched for studies providing information on self-care advice for survivorship after oesophageal cancer surgery, in English, with no time filter. The Critical Appraisal Skills Program was used to assess the risk of bias. Data were presented by textual descriptions and grouping of data.

RESULTS

Among the 13 studies included in the review, five pieces of self-care advice were identified; reconstructing eating habits, bed-head elevation, health-promoting advice, monitoring symptoms and body functions, and involving family and friends. The self-care advice was experienced to be hard work, but worth the effort. They also provided reassurance and an increased understanding of bodily changes and social consequences of the disease and treatment.

CONCLUSIONS

There are is little evidence-based self-care advice for oesophageal cancer survivors. However, the existing self-care advice was appreciated and contributed to an increased understanding of the situation. Comprehensible and easy-to-follow recommendations should be provided to all oesophageal cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Evidence-based self-care advice helpful for the individual oesophageal cancer survivor may be imperative to cope with the consequences of oesophagectomy after hospital discharge.

Feasibility Randomised Control Trial of OptiMal: A Self-Management Intervention for Cancer Survivors

PURPOSE

Cancer survivors can experience symptoms such as fatigue, pain and distress that persist for many months following treatment. These enduring symptoms often impact on participation in self-care activities, returning to school and/or work, and leisure and social activities. Self-management support is increasingly recognised as a core aspect of cancer survivorship care to reduce the impact of persistent symptoms. The purpose of this study was to examine the feasibility and potential effectiveness of a group-based self-management intervention, OptiMal, to improve the physical and psychological health of cancer survivors. OptiMal is a six-week intervention comprising weekly sessions on fatigue, stress and physical activity, diet and effective communication strategies.

METHODS

A feasibility randomised control trial was undertaken. Individuals up to two years after cancer treatment were randomised to OptiMal or usual care. Feasibility was examined through recruitment and retention metrics. Potential effectiveness was tested through patient-reported outcomes collected at baseline and three months post-intervention. Descriptive and inferential statistics were used to analyse study data.

RESULTS

Recruitment for this study was 32.5% (80/246 eligible individuals) with 77.5% retention at three-month follow-up (82.5% for intervention group and 72.5% for control group). Of those who attended the intervention, 19 (73%) attended all OptiMal sessions, indicating high adherence to the intervention. The majority of participants had breast cancer and were between 12 and 24 months post-treatment. The intervention group (n = 29) had statistically significant greater improvements in anxiety (p = 0.04) and health-related quality of life (health index score: p = 0.023, visual analogue score: p = 0.035) at three months post-intervention than the control group.

CONCLUSIONS

Recruitment and retention in this study was similar to other cancer trials and the high adherence rate indicates that OptiMal is an acceptable self-management intervention for cancer survivors and warrants further investigation. OptiMal is intended to address symptoms reported across different cancer types. However, a limitation of this study was that the majority of participants had breast cancer, and therefore, generalisability of findings cannot be assumed for other cancer types. Future studies of OptiMal therefore need to use different strategies to recruit survivors of other cancer types.