Mary Beth Landrum

Trends in the Aggressiveness of Cancer Care Near the End of Life

PURPOSE To characterize the aggressiveness of end-of-life cancer treatment for older adults on Medicare, and its relationship to the availability of healthcare resources. PATIENTS AND METHODS We analyzed Medicare claims of 28,777 patients 65 years and older who died within 1 year of a diagnosis of lung, breast, colorectal, or other gastrointestinal cancer between 1993 and 1996 while living in one of 11 US regions monitored by the Surveillance, Epidemiology, and End Results Program. RESULTS Rates of treatment with chemotherapy increased from 27.9% in 1993 to 29.5% in 1996 (P =.02). Among those who received chemotherapy, 15.7% were still receiving treatment within 2 weeks of death, increasing from 13.8% in 1993 to 18.5% in 1996 (P <.001). From 1993 to 1996, increasing proportions of patients had more than one emergency department visit (7.2% v 9.2%; P <.001), hospitalization (7.8% v 9.1%; P =.008), or were admitted to an intensive care unit (7.1% v 9.4%; P =.009) in the last month of life. Although fewer patients died in acute-care hospitals (32.9% v 29.5%; P <.001) and more used hospice services (28.3% v 38.8%; P <.001), an increasing proportion of patients who received hospice care initiated this service only within the last 3 days of life (14.3% v 17.0%; P =.004). Black patients were more likely than white patients to experience aggressive intervention in nonteaching hospitals but not in teaching hospitals. Greater local availability of hospices was associated with less aggressive treatment near death on multivariate analysis. CONCLUSION The treatment of cancer patients near death is becoming increasingly aggressive over time.

Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores.

We determined whether adherence to recommendations for coronary angiography more than 12 h after symptom onset but prior to hospital discharge after acute myocardial infarction (AMI) resulted in better survival. Using propensity scores, we created a matched retrospective sample of 19,568 Medicare patients hospitalized with AMI during 1994-1995 in the United States. Twenty-nine percent, 36%, and 34% of patients were judged necessary, appropriate, or uncertain, respectively, for angiography while 60% of those judged necessary received the procedure during the hospitalization. The 3-year survival benefit was largest for patients rated necessary [mean survival difference (95% CI): 17.6% (15.1, 20.1)] and smallest for those rated uncertain [8.8% (6.8, 10.7)]. Angiography recommendations appear to select patients who are likely to benefit from the procedure and the consequent interventions. Because of the magnitude of the benefit and of the number of patients involved, steps should be taken to replicate these findings.

Aggressiveness of Cancer Care Near the End of Life: Is It a Quality-of-Care Issue?

The purpose of this article is to review the literature and update analyses pertaining to the aggressiveness of cancer care near the end of life. Specifically, we will discuss trends and factors responsible for chemotherapy overuse very near death and underutilization of hospice services. Whether the concept of overly aggressive treatment represents a quality-of-care issue that is acceptable to all involved stakeholders is an open question.

ACC/AHA Clinical Performance Measures for Adults With ST-Elevation and Non-ST-Elevation Myocardial Infarction. A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures (Writing Committee to Develop Performance Measures on ST-Elevation and Non-ST-Elevation Myocardial Infarction)

ACC/AHA TASK FORCE ON PERFORMANCE MEASURES Frederick A. Masoudi, MD, MSPH, FACC, Chair; Robert O. Bonow, MD, MACC, FAHA#; Elizabeth DeLong, PhD; N.A. Mark Estes III, MD, FACC, FAHA; David C. Goff, Jr, MD, PhD, FAHA, FACP; Kathleen Grady, PhD, RN, FAHA, FAAN; Lee A. Green, MD, MPH; Ann Loth, RN, MS, CNS; Eric D. Peterson, MD, MPH, FACC, FAHA; Martha J. Radford, MD, FACC, FAHA; John S. Rumsfeld, MD, PhD, FACC, FAHA; David M. Shahian, MD, FACC

Breast Cancer in Older Women: Quality of Life and Psychosocial Adjustment in the 15 Months After Diagnosis

PURPOSE We examined the health-related quality of life (QOL) of a cohort of older women with breast cancer after their diagnosis. PATIENTS AND METHODS Six hundred ninety-one women aged 65 years and older were interviewed approximately 3 months after breast cancer surgery and two additional times in the following year using standardized QOL measures. Demographic factors, breast cancer treatments, and comorbid conditions were used to model ratings of health-related QOL over time. Self-perceived health and psychosocial adjustment at 15 months after surgery were modeled. RESULTS Physical and mental health scores declined significantly in the follow-up year, independent of age. However, a cancer-specific psychosocial instrument showed significant improvement in scores. Better 3-month physical and mental health scores, as well as better emotional social support, predicted more favorable self-perceived health 15 months after surgery. Psychosocial adjustment at 15 months was significantly predicted by better mental health, emotional social support, and better self-rated interaction with health care providers assessed at 3 months. CONCLUSION Contrary to reports from younger women with breast cancer, we observed significant declines in the physical and mental health of older women in the 15 months after breast cancer surgery, whereas scores on a cancer-specific psychosocial QOL measure improved over time, consistent with patterns in younger women. Predictive models indicate that older women with impaired physical functioning, mental health, and emotional social support after surgery have poorer self-perceived health and psychosocial adjustment 1 year later. Interventions to address the physical and emotional needs of older women with breast cancer should be developed and evaluated to determine their impact on subsequent health-related QOL.

Physician factors associated with discussions about end-of-life care.

Guidelines recommend advanced care planning for terminally ill patients with <1 year to live. Few data are available regarding when physicians and their terminally ill patients typically discuss end‐of‐life issues.

Effects of a Quality Improvement Collaborative on the Outcome of Care of Patients with HIV Infection: The EQHIV Study

Context Multi-institutional quality improvement collaboratives are popular, but are they effective? Contribution This controlled study evaluated an HIV care Breakthrough Series program that emphasized provider teams, sessions on quality improvement theory and techniques, and report backs about implementing quality improvement. A review of the medical records of 9986 HIV-infected patients showed no important differences in quality of care (viral load suppression, pneumocystitis prophylaxis, and screening for tuberculosis and hepatitis) between the 44 intervention clinics and the 25 control clinics. Cautions Patient adherence and satisfaction were not measured, and some control clinics may have used quality improvement techniques similar to those recommended by the collaborative program. The Editors In the pastdecade, tremendous improvements have occurred in measuring and monitoring the quality of medical care in the United States. Despite these advances, striking problems with quality persist (1, 2). The quality of care for patients with HIV infection is of particular concern. Substantial evidence shows that obtaining medical services and treatment for patients with HIV infection may lead to longer survival and better quality of life (3, 4), yet serious quality-of-care problems and striking disparities in quality by race and social class have been documented (4-6). In the 1980s, continuous quality improvement techniques were introduced into health care (7, 8). These strategies emphasize that most quality problems are a result of system failings rather than problems with individual practitioners (9). In 1995, the Institute for Healthcare Improvement introduced the concept of the Breakthrough Series, which brings together health care organizations dedicated to improving the quality of care in particular clinical areas through the application of continuous quality improvement techniques (10). These techniques (known as Plan/Do/Study/Act or PDSA cycles; Figure 1) first identify deficiencies in quality, next repeatedly implement small-scale interventions and measure changes, and then refine and expand interventions to improve processes of care (11, 12). Typically, each Breakthrough Series collaborative is composed of 20 to 40 participating health care organizations and a faculty with expertise in the clinical area and quality improvement methods (13). To date, the Institute for Healthcare Improvement has conducted collaboratives with more than 700 teams working on 23 clinical conditions or treatment processes, including improving asthma care and reducing medication errors. Although some evaluations of quality before and after a collaborative support the validity of this approach, only a few limited controlled trials have been conducted (14, 15). Figure 1. Theoretical construct of continuous quality improvement. An important source of funding for HIV care is the Ryan White Comprehensive AIDS Resources Emergency (CARE) Act, which is administered by the HIV/AIDS Bureau of the Health Resources and Services Administration. Title III of the CARE Act supports comprehensive primary health care for HIV-infected individuals and currently supports primary care services for more than 150000 patients receiving care in more than 200 community health centers, hospital-based clinics, and city or county health services (16). In 1999, the Health Resources and Services Administration required all clinical sites that were newly awarded funding under Title III of the CARE Act to participate in a quality improvement collaborative conducted by the Institute for Healthcare Improvement. Other sites already receiving Title III funding were also invited to participate. This study evaluates the impact of the collaborative by examining pre- and postimplementation quality-of-care information on samples of patients from both participating and matched nonparticipating clinics. Methods Study Site Selection and Controls Of the 200 Title III sites in the continental United States in May 2000, we excluded 16 that reported caseloads of fewer than 100 cases per year, 12 that were initially slated to participate in the Breakthrough collaborative but elected not to do so, and 1 that lost its CARE Act funding shortly before the collaborative began. Of the remaining 171 sites, 62 participated in the collaborative. Among these sites, 54 agreed to participate in the study and 44 (including 11 mandatory participants and 33 voluntary participants; 71% of collaborative participants) provided chart review data. Of the 109 nonparticipating sites eligible to be selected as control sites, 65 provided information needed for matching. The potential control sites were matched with intervention sites on the basis of the type of site (community health center, community-based organization, health department, hospital, or university medical center), location (rural or urban), number of locations delivering care, region, and number of patients with active HIV infection. When these criteria were used, 40 sites were selected as potential controls and 37 of them (93%) agreed to participate in the study. Of these, 25 (63% of potential control sites) participated in the chart review portion of the study. The Committee on Human Studies of Harvard Medical School approved the study protocol. Quality Improvement Intervention Each participating clinic selected a team, usually consisting of at least one administrator and one or more clinicians, and a population of focus on which the teams interventions would be tested. Usually, the population of focus consisted of all HIV-infected patients in a particular site, but participants sometimes chose to focus on a subset of patients, such as those under the care of a particular group of clinicians. Originally, the design of the collaborative extended for 12 months and included a kickoff meeting and 2 subsequent 2-day meetings called learning sessions. The kickoff learning session included instruction in the theory and practice of quality improvement by identifying problems in HIV care and then introducing the techniques of continuously implementing, measuring, and refining changes (the Plan/Do/Study/Act cycles) (11, 12) to improve the care of HIV-infected patients. Each learning session included additional instruction in quality improvement techniques and breakout sessions that focused on improving specific aspects of care, developing an information infrastructure to track progress, and specific aspects of quality improvement theory. In addition, teams exchanged ideas and presented storyboards of their progress to date. At each session, teams reported on activities, methods, and results. Toward the end of the 12-month period, the Health Resources and Services Administration decided to extend the collaborative by 4 months and add a third learning session. Between the sessions (action periods), team members implemented concepts and ideas. Each site had access to a collaborative listserve, participated in monthly conference calls with the collaborative faculty, and submitted monthly reports of its improvements, which included charts that tracked the sites improvements to date in the required key quality measures described in the next section. Detailed descriptions of the Breakthrough Series collaboratives are available elsewhere (10, 17-19). Quality-of-Care Monitors We selected quality-of-care measures (Table 1) to coincide with required and optional quality measures selected by the collaborative faculty as areas for improvement. These measures were selected by the faculty after reviewing the literature to identify areas of quality deficiency in the delivery of HIV care, particularly for underserved populations targeted by the CARE Act. Because of the paramount importance of antiretroviral therapy to the treatment of HIV infection, the faculty focused on measures related to antiretroviral treatment, including the percentage of patients receiving highly active antiretroviral therapy, the percentage of patients with a controlled viral load, and the percentage of patients who received adherence counseling, as required key measures for the collaborative. Measures were then developed on the basis of consensus guidelines appropriate for the period of care (20). Our primary measures were rates of highly active antiretroviral therapy use and control of HIV viral load for appropriate patients. Patients eligible for highly active antiretroviral therapy included those with CD4+cell counts less than 0.350 109 cells/L, those with CD4+counts between 0.350 and 0.500 109 cells/L and a viral load greater than 5000 copies/mL, all patients with a viral load greater than 30000 copies/mL, and patients already receiving highly active antiretroviral therapy, as per the guidelines. We also assessed the use of highly active antiretroviral therapy for those with CD4+counts less than 0.350 109 cells/L to reflect recommendations that were published after the end of the collaborative (21). Because of the variability in viral load assays available at the time, viral load was considered controlled if it was undetectable or if the total viral load was less than 400 copies/mL. We also assessed the use of screening and prophylaxis, as well as access to care. The only key measure followed by the collaborative that we could not assess was related to adherence counseling because this information is not reliably available from medical records. Table 1. Quality of Care Indicators* Quality-of-Care Data Collection To identify pre- and postintervention samples of patients, we requested lists of all HIV-infected patients in care at each of the sites during the 2 time periods (Figure 2). For the first sample, sites were asked to provide encrypted lists of all HIV-infected patients age 18 years or older as of June 2000 seen at the site between 1 January and 30 June 2000. For the second sample, sites were asked to provide a similar list of active patients age 18 years or older as of Dec

Physical and mental health status of older long-term cancer survivors

Objectives: To assess the physical and mental health status of older long‐term cancer survivors.

The ‘Alternative Quality Contract,’ Based On A Global Budget, Lowered Medical Spending And Improved Quality

Seven provider organizations in Massachusetts entered the Blue Cross Blue Shield Alternative Quality Contract in 2009, followed by four more organizations in 2010. This contract, based on a global budget and pay-for-performance for achieving certain quality benchmarks, places providers at risk for excessive spending and rewards them for quality, similar to the new Pioneer Accountable Care Organizations in Medicare. We analyzed changes in spending and quality associated with the Alternative Quality Contract and found that the rate of increase in spending slowed compared to control groups, more so in the second year than in the first. Overall, participation in the contract over two years led to savings of 2.8 percent (1.9 percent in year 1 and 3.3 percent in year 2) compared to spending in nonparticipating groups. Savings were accounted for by lower prices achieved through shifting procedures, imaging, and tests to facilities with lower fees, as well as reduced utilization among some groups. Quality of care also improved compared to control organizations, with chronic care management, adult preventive care, and pediatric care within the contracting groups improving more in year 2 than in year 1. These results suggest that global budgets with pay-for-performance can begin to slow underlying growth in medical spending while improving quality of care.

Multiple imputation in a large-scale complex survey: a practical guide:

The Cancer Care Outcomes Research and Surveillance (CanCORS) Consortium is a multisite, multimode, multiwave study of the quality and patterns of care delivered to population-based cohorts of newly diagnosed patients with lung and colorectal cancer. As is typical in observational studies, missing data are a serious concern for CanCORS, following complicated patterns that impose severe challenges to the consortium investigators. Despite the popularity of multiple imputation of missing data, its acceptance and application still lag in large-scale studies with complicated data sets such as CanCORS. We use sequential regression multiple imputation, implemented in public-available software, to deal with non-response in the CanCORS surveys and construct a centralised completed database that can be easily used by investigators from multiple sites. Our work illustrates the feasibility of multiple imputation in a large-scale multiobjective survey, showing its capacity to handle complex missing data. We present the implementation process in detail as an example for practitioners and discuss some of the challenging issues which need further research.