Cost-effectiveness of physical activity interventions in cancer survivors of developed countries: a systematic review.

2021
PURPOSE Physical activity has been shown to improve survival and quality of life of cancer patients. Due to differences in patient populations, healthcare settings, and types of intervention, cost-effectiveness analyses of physical activity interventions in cancer survivors are difficult to compare. Available evidence from breast cancer survivor research has shown inconsistent results, and transfer of results to other types of cancer is not straightforward. This paper systematically reviewed current evidence on the cost-effectiveness of physical activity interventions in cancer survivors independent of cancer type compared to usual care or another experimental intervention. METHODS The literature search was conducted in seven databases and enhanced by a search for gray literature. Eligible studies were restricted to developed countries and assessed using the CHEERS, CHEC, and PHILIPS checklists. The study protocol was pre-published in PROSPERO. RESULTS Seven studies, five cost-utility, and two combined cost-utility/cost-effectiveness analyses fully met the inclusion criteria. They covered eight different types of cancer and various interventions. The cost-effectiveness analyses were of moderate to high methodological quality. A high probability of cost-effectiveness was reported in two analyses. One intervention appeared to be not cost-effective, and one to be cost-effective only from an organizational perspective. Three other analyses reported a cost-effectiveness better than US$ 101,195 (€ 80,000) per QALY gained. CONCLUSIONS Physical activity interventions in cancer survivors of developed countries were cost-effective in some but not all clinical trials reviewed. IMPLICATIONS FOR CANCER SURVIVORS Cost-effectiveness of physical activity interventions appear to depend upon the intensity of the activity.
    • Correction
    • Source
    • Cite
    • Save
    80
    References
    2
    Citations
    NaN
    KQI
    []
    Baidu
    map