Patients’ Assessment of Quality of Care: A Survey of a Group of Breast Cancer Patients in Italy

1985 ◽  
Vol 71 (5) ◽  
pp. 491-497 ◽  
Author(s):  
Alessandro Liberati ◽  
Carlo Confalonieri ◽  
Gemma Martino ◽  
Renato Talamini ◽  
Marcello Tamburini ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Care ◽  
Daily Living ◽  
Care Providers ◽  
Breast Cancer Patients ◽  
Quality Of Information ◽  
High Satisfaction ◽  
Pros And Cons ◽  
Specialized Institutions

Patients’ assessment of quality of care was investigated in 825 women with breast cancer treated in a group of specialized and non-specialized institutions in Italy. A 10-page mail questionnaire explored patients’ adjustment to the disease, satisfaction with care, and quality of the information on diagnosis and treatment. Most of the 428 (52 %) responders reported good or acceptable adjustment to the disease (as reflected by acceptable performance in some daily living activities), and favorable judgment about care providers, but many women complained of hospital organizational deficiencies. A contradictory picture emerged regarding the quality of information. Completeness and thoroughness appeared seriously deficient when examined objectively using a series of explicit predefined criteria, but patients’ assessments showed in most cases moderate or high satisfaction. The paper presents these results and discusses pros and cons in the use of patients’ opinions for evaluation of quality of care.

Breast cancer patients' quality of care: Does racial concordance matter or is it just a matter of trust?

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 6537-6537
Author(s):  
K. P. Joseph ◽  
R. Franco ◽  
K. Fei ◽  
N. Bickell
Keyword(s):  
Breast Cancer ◽  
Quality Of Care ◽  
Cancer Patients ◽  
Cancer Care ◽  
Perceived Quality ◽  
Care Quality ◽  
Breast Cancer Patients ◽  
Office Staff ◽  
Racial Concordance

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.

Quality of information given to young breast cancer patients about fertility and sexuality after treatment

2007 ◽  
Vol 88 ◽  
pp. S336 ◽  
Author(s):  
P. Barriere ◽  
C. Menez ◽  
D. Allaoua ◽  
R. Pioud ◽  
J.-M. Classe ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Quality Of Information ◽  
Young Breast Cancer

Quality indicators for end-of-life breast cancer care: Testing the use of administrative databases

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 6066-6066 ◽  
Author(s):  
L. Lethbridge ◽  
E. Grunfeld ◽  
R. Dewar ◽  
G. Johnston ◽  
P. McIntyre ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Care ◽  
End Of Life ◽  
Administrative Data ◽  
Population Based ◽  
Vital Statistics ◽  
Administrative Databases ◽  
Breast Cancer Patients ◽  
Eol Care

6066 Background: Defining, measuring and monitoring quality of care is a facet of health services research that is growing in importance. Breast cancer offers a disease model to examine quality end-of-life (EOL) care provided to women. Administrative data have the unique potential to provide population-based measures of quality of care. The objective of this study was to assess the feasibility of using routinely-collected administrative data to measure quality EOL care for breast cancer patients. Methods: A cohort of all women in Nova Scotia who died of breast cancer between 01/01/1998 and 31/12/2002 was assembled from the Cancer Registry and Vital Statistics data. The EOL study period was defined as the last 6 months of life. A total of 864 women met the eligibility criteria. After a literature review, an expert panel identified 19 indicators that were potentially measurable through administrative data. Physician billings, hospital discharge abstracts and seniors pharmacare data, supplemented by clinical datasets, were utilized to calculate the statistics with which to represent the indicators. Results: Benchmark measures of care across the cohort show 63.4% died in a hospital, a mean continuity of care index of 0.786, and the mean number of inpatient days in the last 30 was 9.9. Indicators of aggressive care include 9.3% had chemotherapy in the last 14 days, 5.6% had more than 1 emergency room visit in the last 30 days, and 29.1% had more than 14 inpatient days in the last 30 days. Conclusions: Weaknesses of using these data include: 1) fixed variables with an administrative rather than a clinical objective; 2) lack of comprehensiveness of various datasets; and 3) the use of billings data where increasingly physicians are paid through methods other than fee-for-service. Strengths of this approach are: 1) population-based cohort; 2) comprehensiveness of cohort selection through the provincial Vital Statistics file; and 3) accessibility of data. No significant financial relationships to disclose.

scholarly journals Factors analysis on the use of key quality indicators for narrowing the gap of quality of care of breast cancer

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Chao Wang ◽  
Xi Li ◽  
Shaofei Su ◽  
Xinyu Wang ◽  
Jingkun Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Care ◽  
Cancer Patients ◽  
Composite Score ◽  
Utilization Rate ◽  
Breast Cancer Patients ◽  
Pathological Stage ◽  
The Mean ◽  
Key Indicators

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.

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 ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Care ◽  
Cancer Patients ◽  
Cancer Care ◽  
Care Pathway ◽  
Breast Cancer Patients ◽  
Care Outcomes
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