scholarly journals Association between Time since Cancer Diagnosis and Health-Related Quality of Life: A Population-Level Analysis

2016 ◽  
Vol 19 (5) ◽  
pp. 631-638 ◽  
Author(s):  
Shi-Yi Wang ◽  
Sylvia H. Hsu ◽  
Cary P. Gross ◽  
Tara Sanft ◽  
Amy J. Davidoff ◽  
...  
2020 ◽  
pp. 140349482090875
Author(s):  
Finn Breinholt Larsen ◽  
Jes Bak Sørensen ◽  
Claus Vinther Nielsen ◽  
Anne-Mette Hedeager Momsen ◽  
Karina Friis ◽  
...  

Aims: This study aimed to compare health-related quality of life (HRQOL) among cancer survivors and controls in the Danish population, with special attention given to the impact of low educational attainment. Comparisons were made at population level and for subgroups stratified by education. Furthermore, comparisons were made for all cancer diagnoses combined and for the 14 most prevalent cancer sites and ‘other cancer sites’. Finally, the importance of time since initial diagnosis was examined. Methods: HRQOL was measured using the physical component score (PCS) and mental component score (MCS) of the 12-item Short-Form Health Survey version 2 in a population-based survey. By linking data with the Danish Cancer Registry, 11,166 cancer survivors and 151,117 individuals with no history of cancer were identified. Results: HRQOL was reduced in cancer survivors for all cancers combined and most cancer sites. Differences were found at population level and stratified by educational attainment. PCS was reduced to a similar extent in the three educational groups, whereas MCS was reduced slightly more in the low than in the high educational attainment group. HRQOL increased with time since initial diagnosis during the first years. Conclusions: Cancer survivors had lower HRQOL than controls, and HRQOL was lower in the low than in the high educational attainment group. However, low educational attainment did not widen the gap in HRQOL following a cancer diagnosis. Despite this, the combined effect of low educational attainment and a cancer diagnosis markedly reduced HRQOL in some cancer survivors. The study identified groups of cancer survivors with low HRQOL who may have unmet rehabilitation needs.


2016 ◽  
Vol 11 (2) ◽  
pp. 73-81 ◽  
Author(s):  
Eeva Harju ◽  
Anja Rantanen ◽  
Marja Kaunonen ◽  
Mika Helminen ◽  
Taina Isotalo ◽  
...  

2005 ◽  
Vol 92 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Andrea A. Thornton ◽  
Lisa Madlensky ◽  
Shirley W. Flatt ◽  
Robert M. Kaplan ◽  
John P. Pierce ◽  
...  

2019 ◽  
Vol 28 (1) ◽  
pp. 46-56
Author(s):  
Alexander Morzycki ◽  
Joseph Corkum ◽  
Nadim Joukhadar ◽  
Osama Samargandi ◽  
Jason G. Williams ◽  
...  

Purpose: An understanding of patient expectations predicts better health outcomes following breast reconstruction. No study to date has examined how patient expectations for breast reconstruction and preoperative health-related quality of life vary with time since breast cancer diagnosis. Methods: Women consulting for breast reconstruction to a single surgeon’s practice over a 13-month period were enrolled in this cross-sectional study. Patients were asked to prospectively complete the BREAST-Q expectations and preoperative reconstruction modules. A retrospective chart review was then performed on eligible patients, and patient demographics, cancer-related factors, and comorbidities were collected. BREAST-Q scores were transformed using the equivalent Rasch method. Multivariate linear regression models were constructed to assess the association between BREAST-Q scores and time since cancer diagnosis. Results: Sixty-five patients met inclusion criteria for analysis and are characterized by a mean age of 53 ± 11 (34-79) years and a mean body mass index of 28 ± 6 (19-49). Most patients were treated by mastectomy (58%) or lumpectomy (23%). At the time of retrospective chart review, 29 (43%) patients had undergone reconstruction, most of which were delayed (59%). The mean latency from cancer diagnosis to reconstruction was 685 ± 867 days (range: 28-3322 days). Latency from cancer diagnosis to reconstruction was associated with a greater expectation of pain (β = 0.5; standard error [SE] = 0.005; 95% confidence interval [CI]: 0.003-0.027; P < .05), and a slower expectation for recovery (β = −0.5; SE = 0.004; 95% CI: −0.021 to −0.001; P < .05) after breast reconstruction. Latency from cancer diagnosis to reconstruction was associated with an increase in preoperative psychosocial well-being (β = 0.578; SE 0.009; 95% CI: 0.002-0.046; P < .05). Conclusion: Delaying breast reconstruction may negatively impact patient expectations of postoperative pain and recovery. Educational interventions aimed at understanding and managing patient expectations in the preoperative period may improve health-related quality of life and patient-related outcomes following initial breast cancer surgery.


Sign in / Sign up

Export Citation Format

Share Document