Quality of care outcomes among breast cancer patients treated with cancer care pathway regimens.

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e18827-e18827
Author(s):  
Santosh Gautam ◽  
Michael Jordan Fisch ◽  
Gosia Sylwestrzak ◽  
Michael Eleff ◽  
David Joseph Debono ◽  
...  
2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 6537-6537
Author(s):  
K. P. Joseph ◽  
R. Franco ◽  
K. Fei ◽  
N. Bickell

6537 Background: As insurers consider paying for performance and quality measures grow in importance, factors that affect patients' perceived quality of cancer care matter. Concordance by race in physician-patient relationships has been associated with patient satisfaction and use of health care, however how that is mediated is unclear. Methods: 210 of 300 eligible women stage I or II breast cancer at 1 of 8 participating NYC hospitals responded to our survey (70% response rate): 20% were African-American (AA), 40% were white, and 30% were Hispanic and 9% were other races. Trust is based on a validated scale and calibrated to a 100 point scale (Cronbach α = 0.76). Bivariate analyses and logistic models were used to identify factors associated with patient ratings of quality of care. Results: Only 55% of women rated the quality of their cancer care as excellent. AA women breast cancer patients were less likely to rate their care as excellent (p=0.004). Compared to women who didn't rate their care as excellent, those who rated it excellent had greater trust in their physician (p < 0.0001) and indicated that were treated well by their physicians' office staff (p = 0.01). Of note, AA patients had lower levels of trust (p = 0.004). Women who were of the same race as their physician did not perceive better quality of care as compared to those who were not racially concordant (p = 0.18); nor did they have higher trust in their physician (p = 0.59). Multivariate models evaluating the role of patient race, education, income, knowing which physician to talk to, how well the staff treated the patient, and racial concordance with physician, found that trust in physician was significantly associated with patient perception of excellent quality care (aRR = 1.38; 95%CI: 1.03–1.65) and being AA was associated with worse perceived quality (aRR = 0.47; 95%CI: 0.21–0.88) (model c = 0.79; p < 0.0001). Conclusions: Racial concordance between physicians and patients does not directly affect patients' perceived quality of care. However, women's trust in their physician and their perceived treatment by office staff are associated with excellent cancer care quality ratings. Efforts should be made to increase effective intercultural communication particularly among AA women in order to improve ratings of cancer care quality. No significant financial relationships to disclose.


2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 6547-6547
Author(s):  
H. Mukai ◽  
T. Higashi ◽  
T. Iwase ◽  
T. Sobue

6547 Background: In Japan, growing concern that patients do not receive optimum care led to the enactment of the Cancer Control Act in 2006, which mandates the government to undertake initiatives in ensuring the quality of cancer care. Here, we evaluated the current status of breast cancer care in Japan using process-of-care quality indicators (QIs) for breast cancer care. Methods: Combining clinical evidence and expert opinion, we developed 45 QIs covering the continuum of breast cancer care from initial evaluation to follow-up. Each QI describes standards of a particular aspect of care, and its score is calculated as the percentage of applicable patients who received the recommended care (adherence score). Of the 45 QIs, 7 could be scored using data in the Japanese Breast Cancer Registry, which covers about 40% of all Japanese breast cancer patients and has been continuously maintained since 1975. Results: The study population included 15,227 patients registered by 224 facilities in 2005. On average, patients received 72.1% of recommended care. However, substantial variation in adherence was seen across QIs (21–98%). Adherence score was less than 85% in five of seven QIs. Variation across facilities was observed in six QIs. Conclusions: The quality of breast cancer care in Japan has room for improvement in many aspects of care. Although the amount of data in the cancer registry suitable for quality assessment is limited, it is useful in detecting quality problems. [Table: see text] No significant financial relationships to disclose.


BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Chao Wang ◽  
Xi Li ◽  
Shaofei Su ◽  
Xinyu Wang ◽  
Jingkun Li ◽  
...  

Abstract Background There are differences in the quality of care among breast cancer patients. Narrowing the quality differences could be achieved by increasing the utilization rate of indicators. Here we explored key indicators that can improve the quality of care and factors that may affect the use of these indicators. Methods A total of 3669 breast cancer patients were included in our retrospective study. We calculated patient quality-of-care composite score based on patient average method. Patients were divided into high- and low-quality groups according to the mean score. We obtained the indicators with large difference in utilization between the two groups. Multilevel logistic regression model was used to analyze the factors influencing quality of care and use of indicators. Results The mean composite score was 0.802, and the number of patients in the high- and low-quality groups were 1898 and 1771, respectively. Four indicators showed a difference in utilization between the two groups of over 40%. Histological grade, pathological stage, tumor size and insurance type were the factors affecting the quality of care. In single indicator evaluation, besides the above factors, age, patient income and number of comorbidities may also affect the use of these four indicators. Number of comorbidities may have opposite effects on the use of different indicators, as does pathological stage. Conclusions Identifying key indicators for enhancing the quality-of-care of breast cancer patients and factors that affect the indicator adherence may provide guides for enhancing the utilization rate of these indicators in clinical practice.


2006 ◽  
Vol 4 (2) ◽  
pp. 90
Author(s):  
M. de Kok ◽  
Scholte ◽  
H.J. Sixma ◽  
K.F.J. Spijkers ◽  
E.M.M. Krol-Warmerdam ◽  
...  

2006 ◽  
Vol 32 ◽  
pp. S77
Author(s):  
M. de Kok ◽  
H. Sixma ◽  
R. Scholte ◽  
K. Spijkers ◽  
C. van de Velde ◽  
...  

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