Psychological Screening of Onco-Hematologic Inpatients: Distress Thermometer Administration

Donev I. Time estimation is associated with the levels of distress in patients prior to starting radiotherapy

Purpose or Objective

The aim of this study was to explore the potential relationship between the time estimation and psychological distress in patients with solid tumors prior to starting radiotherapy.

Materials and Methods

In this multicenter study were included a total of 344 patients with solid tumors (197 with and 147 without metastatic disease). The time estimation was assessed by evaluating each subjects prospective estimation of how fast 1 min passed compared to the actual time. The median value (35sec) of subjective perception of time was used to group cases into two categories for experience of time. We used the National Comprehensive Cancer Network Distress Thermometer at the beginning of treatment to determine the levels of distress, where it measures distress on a scale from 0 to 10. Patients scoring 4 or above (73.5 %) were regarded as having high levels of distress.

Results

The time estimation distributions significantly changed according to the level of distress. ROC analysis revealed that at the optimal cut off value of time estimation, patients with low and high distress levels can be discriminated with an AUC = 0.80 (95 % CI: 0.75- 0.85, p < 0.001) and with a sensitivity of 77.8 % and specificity of 73.3 %. In a multivariate logistic regression model, fast time estimation was an independent predictor of high levels of distress (OR 0.136; 95 % CI, 0.072---0.256, p < 0.001).

Conclusion

Time estimation is a novel potent indicator of high levels of distress in cancer patients prior starting of radiotherapy.

Common patient-reported sources of cancer-related distress in adults with cancer: A systematic review

BACKGROUND

Cancer-related distress (CRD) is widely experienced by people with cancer and is associated with poor outcomes. CRD screening is a recommended practice; however, CRD remains under-treated due to limited resources targeting unique sources (problems) contributing to CRD. Understanding which sources of CRD are most commonly reported will allow allocation of resources including equipping healthcare providers for intervention.

METHODS

We conducted a systematic review to describe the frequency of patient-reported sources of CRD and to identify relationships with CRD severity, demographics, and clinical characteristics. We included empirical studies that screened adults with cancer using the NCCN or similar problem list. Most and least common sources of CRD were identified using weighted proportions computed across studies. Relationships between sources of CRD and CRD severity, demographics, and clinical characteristics were summarized narratively.

RESULTS

Forty-eight studies were included. The most frequent sources of CRD were worry (55%), fatigue (54%), fears (45%), sadness (44%), pain (41%), and sleep disturbance (40%). Having enough food (0%), substance abuse (3%), childbearing ability (5%), fevers (5%), and spiritual concerns (5%) were infrequently reported. Sources of CRD were related to CRD severity, sex, age, race, marital status, income, education, rurality, treatment type, cancer grade, performance status, and timing of screening.

CONCLUSIONS

Sources of CRD were most frequently emotional and physical, and resources should be targeted to these sources. Relationships between sources of CRD and demographic and clinical variables may suggest profiles of patient subgroups that share similar sources of CRD. Further investigation is necessary to direct intervention development and testing.

Tailored Sailing Experience to Reduce Psychological Distress and Improve the Quality of Life of Breast Cancer Survivors: A Survey-Based Pilot Study

Background: Growing evidence indicates that physical/sporting activities may improve the health outcomes and quality of life (QoL) of breast cancer (BC) survivors. Since recent reports have suggested that sailing can improve the psychophysical well-being and QoL of people with disabilities, this pilot study evaluated the effectiveness of a tailored sailing experience on the QoL and psychological distress (PD) of BC survivors. Methods: A group of 19 breast cancer survivors, who were attending the Cancer Rehabilitation Center in Florence, were invited to participate in a sailing school and completed a survey based on a structured online questionnaire assessing QoL and PD both on departure (baseline) and one week after returning (follow-up). The survey comprised a first part (i.e., sociodemographic characteristics and the practice of physical/sporting activities at baseline; sailing experience satisfaction at follow-up) and a second part (i.e., Short Form-12 (SF-12), State/Trait-Anxiety Inventory form Y (STAI-Y), distress thermometer questionnaires). A paired Student's t-test was used to compare the baseline versus follow-up QoL and PD scores. Results: A statistically significant improvement in SF-12 mental component scores and a reduction in both STAI-Y state/trait components and distress thermometer scores were found after the sailing experience. Conclusions: We conclude that sailing practice could be a feasible intervention to increase the psychophysical well-being of BC survivors.

One-minute time interval estimation as a novel ultrashort tool for distress screening

PURPOSE

Our study explores the potential relationship between time estimation and level of distress in cancer patients prior to starting chemotherapy.

METHODS

Time estimation was assessed in 262 chemonaïve patients with solid tumors by evaluating each subject's prospective estimation of how fast 1 min passed compared to the actual time. The median value (40 s) of time estimation was used to stratify the patients into two categories of fast and slow time estimation. The National Comprehensive Cancer Network Distress Thermometer was used at the beginning of treatment to evaluate levels of distress. Patients scoring 4 or above (51.9%) were regarded as having high levels of distress.

RESULTS

The pattern of the time estimation distributions significantly changed according to the level of distress. Patients with a fast time estimation had significantly higher levels of distress (4.55 ± 3.1) than patients with a slow time estimation (3.3 ± 2.9) (p = 0.001). ROC analysis revealed that at the optimal cutoff value of time estimation, patients with low and high distress levels can be discriminated with an AUC = 0.60 (95% CI: 0.53-0.67, p = 0.005) and with a sensitivity of 62.5% and specificity of 53.2%. Moreover, in a multivariate logistic regression model, fast time estimation was an independent predictor of high levels of distress.

CONCLUSION

Time estimation is a novel potent indicator of high levels of distress in cancer patients. This test is an easily performed, time-saving, and nonintrusive ultrashort screening tool that is even suitable for patients who are not willing to reveal their level of distress via direct questionnaires.