The value of embedding: integrated palliative care for patients with metastatic breast cancer

PURPOSE

The American Society of Clinical Oncology recommends concurrent palliative care (PC) for patients with metastatic cancer. Recent data show benefits of early PC (at least 90 days before death). However, little is known about PC among patients who die from metastatic breast cancer.

METHODS

Patients with metastatic breast cancer at a comprehensive cancer center. Analysis of medical records and clinician and patient surveys. Assess referral patterns and value to patients at the end of life (EOL) of a specialty PC service embedded in a breast oncology program; compare to a prior period of stand-alone PC.

RESULTS

In the 18-month study period, oncologists referred for palliative care 105 of their 515 (20.4%) patients; 59 (11.5%) patients were seen by the PC physician. Of the 38 referred patients who died, 23 (60.5%) were seen by embedded PC and all 23 received PC within 90 days of death; 0 of 18 decedents with data available for analysis had ICU stays within 30 days of death. In an earlier 24-month period of stand-alone PC, 43 patients died after receiving PC, but only 11 (25.5%) received PC within 90 days of death (p < 0.01) and 7 of 43 had ICU stays within 30 days of death (p = 0.074).

CONCLUSIONS

Embedded PC was well-received by patients and oncologists, increased early PC referrals, and improved EOL care. Avoidable, unnecessary health care utilization at the end of life, such as ICU stays in the last month of life, represent an important potential reduction in patient suffering and system costs.

Informational needs of patients with metastatic breast cancer: what questions do they ask, and are physicians answering them?

In the setting of breast oncology consultations, we sought to understand communication patterns between patients with advanced breast cancer and their oncologists during visits with Decision Support Services. This is a descriptive study analyzing themes and their frequencies of premeditated question lists of patients with metastatic breast cancer. We identified topics physicians most commonly discussed among themes previously found, documenting questions patients with metastatic breast cancer prepare for physician consultations and oncologists' response. Inclusion criteria were as follows: diagnosis of metastatic breast cancer, completion of a question list before meeting with an oncologist, and receipt of a summary of the consultation. We identified 59 women with metastatic breast cancer who received both documents. We reviewed the question lists and consultation summaries of these patients. Of the 59 patients whose documents we reviewed, patients most often asked about prognosis (38), symptom management (31), clinical trials (43), and quality of life (38). Physicians answered questions about prognosis infrequently (37% of the time); other questions that were answered more than commonly are the following: symptom management (81%), clinical trials (79%), and quality of life (66%). Breast cancer patients have many questions regarding their disease, its treatment, and symptoms, which were facilitated in this setting by Decision Support Services. Question lists may be insufficient to bridge the divide between physicians and patient information needs in the setting of metastatic breast cancer, particularly regarding prognosis. Patients may need additional assistance defining question lists, and physicians may benefit from training in communication, particularly regarding discussions of prognosis and end of life.

Making better doctors: a survey of premedical interns working as health coaches

We operate a decision support program in a medical center in San Francisco. In this program, postbaccalaureate, premedical interns deliver decision and communication, aids to patients. We asked whether working in this program helped these premedical interns develop key physician competencies. To measure physician competencies, we adopted the standards of the Accreditation Committee on Graduate Medical Education (ACGME), which accredits residency programs in the USA. The ACGME competencies are patient care, medical knowledge, practice-based learning, interpersonal and communication skills, professionalism, and systems-based practice. We developed a survey for our program alumni to rate themselves on a scale from 0 (none) to 100 (perfect) on each competency, before and after their time in our program. The survey also solicited free-text comments regarding each competency. In June 2012, we e-mailed all 47 alumni a link to our online survey and then analyzed responses received by July 15, 2012. We visually explored the distributions of ratings and compared medians. We selected the most specific and concrete comments from the qualitative responses. Respondents (21/47 or 45%) reported that their participation in Decision Services increased their competencies across the board. Qualitative comments suggest that this is because students accompanied patients on their clinic journeys (seeing multiple facets of the systems of care) while also actively facilitating patient physician communication. Providing decision support can improve self-ratings of crucial physician competencies. Educators should consider deploying premedical and medical students as decision support coaches to increase competencies through experiential learning.

Physician behaviors surrounding the implementation of decision and communication AIDS in a breast cancer clinic: a qualitative analysis of staff intern perceptions

The aim of this paper is to examine how physician behavior facilitated or impeded our implementation of decision and communication aids in a breast cancer clinic. Staff interns provided decision and communication aids to patients and wrote up case notes for each patient they served. We used grounded theory to code our staff interns' case notes. We then identified barriers and facilitators to our program's implementation from each category we generated in the coding. Facilitators included physicians reading patient questions and then bringing the staff interns to the consultation. Barriers included physicians forgetting to bring the staff interns to the appointments and discouraging interns from speaking during the consultation. Physicians vary in their cooperation with our program. Our next steps will be to inquire directly with physicians about how to adapt our program design. We will also seek to position the staff interns as mentees to increase physician commitment to our program.

The Quality of Decisions about Adjuvant Chemotherapy for Early Stage Breast Cancer

Background: Decisions about adjuvant chemotherapy are highly challenging for many women with early stage breast cancer. We sought to assess the quality of breast cancer patients' decisions about chemotherapy by measuring their knowledge and the degree to which their treatment decisions reflect their goals and preferences.Methods: We mailed a survey to early stage (I, II) breast cancer survivors who were treated at one of four sites, as part of a larger study to validate decision quality instruments. A subset of women completed the chemotherapy module, which included questions about the patient-provider interaction, about facts, about treatment goals, and about the patient's preferred treatment. Characteristics associated with knowledge were identified with linear regression. Characteristics associated with chemotherapy were identified with logistic regression.The percentage of patients who received their preferred treatment was calculated.Results: 358 patients completed the survey (response rate 59%). 64% of patients had Stage I disease, and 57% had chemotherapy. Average age was 56.9 years, 82.6% were white, and 63.7% had a college degree.Decision making: 70% of patients reported that their provider mentioned chemotherapy as an option. 43% reported that their provider asked for their preference about chemotherapy. 23% said the doctor mainly made the decision, 29% said they mainly made the decision, and 46% said both made the decision.Most women (92%) felt their level of involvement was about right.Knowledge: The mean knowledge score was 39.6% (SD 20.3). 29.9% knew that less than half of women with early stage breast cancer eventually die from breast cancer without chemotherapy or hormone therapy.21.8% knew that more than half are free from recurrence in 10 years without chemotherapy or hormone therapy. Chemotherapy treatment and the doctor having discussed chemotherapy were significantly associated (p&lt;0.05) with higher knowledge. Younger age at diagnosis, white race, higher income, and a college degree were also significantly associated with higher knowledge (p&lt;0.05).Treatment: Factors associated with having chemotherapy were younger age (OR 1.71, 95% CI 1.01, 2.91) and not having hormone therapy (OR 3.2, 95% CI 1.92, 5.42). Factors associated with not having chemotherapy were lower stage (OR 0.17, 95% CI 0.10, 0.30), mastectomy (OR 0.47, 95% CI 0.26, 0.86), and the goal “live as long as possible” (OR 1.41, 95% CI 1.10, 1.80).Concordance with preferences: 81.6% of patients who preferred chemotherapy received it, and 92.6% of patients who preferred no chemotherapy received no chemotherapy.Conclusion: Breast cancer patients had substantial knowledge deficits about chemotherapy, which were even more prevalent among older, non-white, less educated, and lower-income women. In addition, more than half of women reported they were not asked about their preferences, and some reported getting chemotherapy treatment that was not concordant with their preferences.Oncologists should address knowledge deficits and explicitly ask patients their preferences.

Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 2083.

Decisions about Breast Reconstruction after Mastectomy: Patient Involvement, Knowledge, and Preferences

Background:Most breast cancer patients who have a mastectomy do not have breast reconstruction, and rates of reconstruction vary by race, education, and geographic location, suggesting problems with decision making. We sought to assess the quality of decisions about breast reconstruction by measuring patient involvement in decision making, patient knowledge, and the degree to which decisions reflected patients' goals.Methods: Breast cancer survivors from four sites who were treated with mastectomy in the past 3 years completed a mailed survey, as part of a larger study to validate decision quality instruments. The survey contained questions about the decision making process, factual questions, and questions about personal goals and concerns. Characteristics associated with knowledge were identified with linear regression. Goals/concerns associated with reconstruction were identified using logistic regression. The percent match between treatment preference and treatment received was calculated.Results: The larger study recruited 456 patients (overall response rate 59%). 91 patients completed the reconstruction module. Average age was 56.9 years, 82.6% were white, 63.7% had a college degree, and 64% had Stage I disease. 45.8% had reconstruction.Decision making: 78% of patients reported that their doctor mentioned reconstruction. Most reported a discussion of the pros of reconstruction (63.8%), whereas the minority reported a discussion of the cons (20.9%). 76% reported being asked for their preference about reconstruction. 3% said the doctor mainly made the decision, 74% said they made the decision, and 15% said both made the decision. Most (81%) felt their level of involvement was about right.Knowledge:The mean knowledge score was 32.9% (SD=19). 41% knew that reconstruction has little effect on cancer surveillance. 54% knew that recovery after implant surgery is easier than after flap surgery. 3.3% knew that about 1/3 of patients have a major complication. On bivariate analysis, reconstruction (43.3 vs. 32.6, p=0.053), higher income (43.4 vs. 26.3, p=0.008), a college degree (43.4 vs. 26.2, p&lt;0.01), and being married (40.9 vs. 29, p=0.04) were associated with higher knowledge. On multivariate analysis, higher income was associated with higher knowledge (p=0.0013).Preferences:The following goals were associated with reconstruction: “use your own tissue to make a breast” (OR 1.309, CI 1.028, 1.605), “avoid using a prosthesis” (OR 1.254, CI 1.039, 1.512), and “wake up after mastectomy with reconstruction underway” (OR 1.254, CI 1.057, 1.487). Patients who felt it was important to “avoid putting foreign material in your body” were less likely to have reconstruction (OR 0.682, CI 0.518, 0.899).The majority of patients (81%) had treatment that was concordant with preference.Conclusions: Despite reporting high involvement in decisions about reconstruction, breast cancer patients undergoing mastectomy had major knowledge deficits, and many reported having treatment they did not prefer. In addition to involving patients in decisions about reconstruction, surgeons should discuss both the pros and the cons and should explicitly ask patients for their preference about reconstruction.

Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 3103.

The impact of alternative practices on the cost and quality of mammographic screening in the United States

The decentralized structure of health care in the Unites States hinders population-based analysis of breast cancer screening. Our objectives are to model mammography in the United States as a whole, to identify the variables that most profoundly affect cost and efficacy, and to develop a strategy to improve mammography screening from a population perspective. A spreadsheet model was used to represent the variables of mammography screening in the United States. The population-based national screening program in Sweden provides a framework for comparison. The outcome measures are the aggregate cost and the number of cancers detected by mammography. We used deterministic sensitivity analysis to calculate the impact of variation in practice. Aggregate costs of screening in the United States are in the range of $3-$5 billion dollars. The percentage of women screened, cost per mammogram, cancer to biopsy ratio, recall rate, and cost of recall have the most profound effect on the quality and cost of a national screening program. Variance of these high-impact variables, based on the U.S. population, modifies the aggregate cost of screening by over $2 billion. As mammography screening in the United States increases to include all women over age 40, high-impact variables should be optimized to decrease costs and improve breast cancer detection. Our model establishes which parameters are most important.

Potentially ineffective care. A new outcome to assess the limits of critical care

OBJECTIVE

To examine the limits of the effectiveness of critical care through the study of patients for whom it was ineffective.

DESIGN

We studied the relationship between resource use and long-term outcome (2-year follow-up) in 402 consecutively admitted critical care patients to develop a benchmark for ineffective applications of critical care. We defined an outcome called potentially ineffective care (PIC), developed and evaluated a model with an independent data set to predict PIC from a patient's response to treatment, and estimated the economic effects of limiting care after a prediction of PIC.

SETTING

The combined medical and surgical intensive care unit at a 600-bed university teaching hospital.

PATIENTS

Two groups of 402 consecutively admitted critical care patients, one from 1989, the other from 1991.

MAIN OUTCOME MEASURES AND RESULTS

Based on observations from a two-dimensional plot of resource use vs benefit for 402 critical care patients, PIC was defined as resource use in the upper 25th percentile and survival for less than 100 days after discharge. Thirteen percent of the patients fell into the PIC category and used 32% of the resources. A product of the APACHE risk estimates on days 1 and 5 of at least 0.35 predicted 37% of PIC outcomes with a specificity of 98%. In a second data set, PIC outcome prediction had a sensitivity of 43% and a specificity of 94%, and a positive predictive value of 80%. For the hospital studied, reduction of intensity of treatment after a prediction of a PIC outcome would result in a reduction of hospital charges in the range of $1.8 million to $5 million per year.

CONCLUSION

Patients in the PIC category consumed a large portion of the resources devoted to critical care at an academic teaching hospital. We suggest a change in focus from assessment of the quality of critical care and risk-adjusted mortality to an assessment of ineffective care based on outcome and resource use and a patient's response to treatment over time.