Objective To build a clinical prediction models (CPMs) for severe CRF of
cervical cancer (CC) patients, and conduct online 8-week
mindfulness-based stress reduction (MBSR). Design Single-centre,
cross-sectional, randomized controlled trial. Setting Gynecological
clinic of a tertiary hospital in Shenyang. Population 284 patients, and
100 patients with severe CRF included in randomized controlled trial.
Methods Patients were divided into construction group and validation
group to verify the accuracy of CPMs. All patients participated in
online 8-week MBSR and were followed up for 3 and 6 months. Main outcome
measures The primary outcome were the accuracy of the CPMs and
effectiveness of MBSR on CRF at 6 month. Secondary outcomes included the
influencing factors of CRF, effectiveness of MBSR on sense of coherence,
coping style, and perceived social support. Results In the CPMs: the
C-Index was 0.921; the sensitivity was 0.821; the specificity was 0.900;
the accuracy was 0.857; the AUC was 0.916; the area under the ROC curve
was greater than 0.8; the calibration curve fitted well
(P<0.05); and the net benefit of applying the model to most
thresholds was good in DCA. At 6 months, CRF was from 37.70 to 31.25;
SOC was from 55.07 to 64.17; ways to face was from 19.20 to 20.95; and
ways to yield was from 12.10 to 8.90 in MBSR group (P<0.01).
Conclusion The CPMs could be used as a prediction and evaluation tool
for severe CRF, and the online 8-week MBSR can effectively improve the
CRF of CC patients.