Carol P. Roth

The Quality of Medical Care Provided to Vulnerable Community-Dwelling Older Patients

Context Many Americans 65 years of age and older are at risk for functional decline, yet we know little about the quality of care for geriatric conditions. Contribution This study used a 13-item survey about functional status to evaluate the care of 420 people 65 years of age and older whom the investigators identified as vulnerable to functional decline. Quality of care was highly variable from condition to condition but was generally better for general medical conditions, such as diabetes, than for geriatric conditions, such as incontinence. Implications Efforts to improve care for vulnerable elders should focus on the geriatric conditions that profoundly influence functional status. The Editors The quality of care among patients 65 years of age and older has not been extensively investigated, and most existing studies have focused on general adult medical conditions. This is surprising, considering that more than 40% of all medical expenditures are for persons 65 years of age and older (1). The most comprehensive study to date of quality of care among older patients evaluated 24 process indicators among U.S. Medicare beneficiaries in all 50 states between 1997 and 1999 (2). Care for acute myocardial infarction, heart failure, stroke, and pneumonia was evaluated by using inpatient medical records. Pneumonia, breast cancer, and diabetes indicators were evaluated by using survey and Medicare claims data. The investigators found that the percentage of patients receiving appropriate care varied widely by measure and state. Several other studies of older patients evaluated cardiovascular conditions, diabetes, or aspects of preventive care and medication use (3-10). No study, however, has assessed the quality of medical care provided for geriatric conditions that profoundly affect the lives of vulnerable older patients. Furthermore, surveys find that older persons often prioritize function and comfort over disease treatment and prolongation of life (11). Quality-of-care measurement for older patients that examines only a few conditions and only indicators aimed at prolonging life yields an incomplete assessment because it ignores other conditions and aspects of care that are of equal or even greater importance to older patients. For this reason, we developed a quality assessment system that assesses more conditions. Together, these conditions account for a majority of all of the care older patients receive (12) and include several geriatric syndromes. We used this quality assessment system to evaluate the care provided to a sample of vulnerable elders at increased risk for death or functional decline. Methods The Assessing Care of Vulnerable Elders (ACOVE) project developed and applied a quality assessment system for vulnerable older persons. The assessment system aimed to develop quality indicators (QIs) that cover the spectrum of care for these patients. Indicators were implemented by using medical record abstraction and patient interview. The ACOVE Quality-of-Care Assessment System The ACOVE investigators developed a system of QIs to cover the most important conditions vulnerable elders encounter in all care venues. This system focused on processes (care behaviors) rather than outcomes for 2 reasons. First, although most agree that outcomes should be adjusted for risk when quality is measured, there is little consensus regarding the best severity measurement system (13). Second, measurement of processes of care is thought to be a more direct assessment of quality than measurement of outcomes (14). The process measures were selected to represent the various domains of care: screening and prevention, diagnosis, treatment, and follow-up. The development of the assessment system was guided by a Policy Advisory Committee, which helped to direct the focus toward practical applications, and by a Clinical Committee, which provided clinical expertise for development and monitored the assembly of the QIs into a comprehensive system (15). The methods for selecting conditions and developing the QIs have been described in detail elsewhere (12, 16). In brief, the Clinical Committee used the criteria of prevalence, impact, effectiveness of prevention or treatment, need for quality improvement, feasibility of measurement, and geriatric niche in a formal group rating process to identify 22 target conditions for quality improvement (12). For each of the 22 conditions, we developed a set of evidence-based QIs for vulnerable elders using a combination of systematic reviews and expert judgment (16). Of 420 proposed QIs, the 2 expert panels, the Clinical Committee, and the American College of Physicians Task Force on Aging accepted 236 as valid indicators; these were assembled into the ACOVE QI set (17). The 236 QIs covered the domains of care as follows: Sixty-one (26%) focused on screening and prevention, 50 (21%) focused on diagnosis, 84 (36%) focused on treatment, and 41 (17%) focused on follow-up and continuity of care. Examples of ACOVE QIs for each condition are presented in Table 1. Table 1. Examples of Assessing Care of Vulnerable Elders Quality Indicators Patients and Data Collection Using the ACOVE QI set, we assessed care provided to seniors who were enrolled in 2 managed care organizations. These patients were defined as vulnerable on the basis of self-report or proxy report on a brief, 13-item screening survey (Vulnerable Elders-13 [VE-13] Survey [18]). Vulnerable elders, identified by this function-based survey, are community-dwelling persons 65 years of age and older who have 4 times the risk for functional decline or death over the next 2 years compared with individuals not identified as vulnerable (18). Each managed care organization, 1 in the northeastern United States and the other in the southwestern United States, had more than 20 000 elderly enrollees and contracted with a network of providers to deliver care. Eligibility criteria included continuous enrollment in the managed care organization for at least 13 months and no out-of-plan care or active treatment for malignant conditions (excluding nonmelanoma skin cancer) during this period. A random sample of 3207 community-dwelling elderly adults was drawn from eligible persons in each managed care organization by using a random-number generator. Vulnerable elders were identified by using the VE-13 Survey as part of a telephone interview. Patients who did not speak English were not eligible to participate. The RAND Institutional Review Board approved the study protocol. Medical Record Review Using administrative data, we identified all inpatient and outpatient medical care received by study participants during the 13-month period of 1 July 1998 to 31 July 1999. Medical records were requested from primary care and specialist providers (including eye care and mental health providers), acute care hospitals, skilled-nursing facilities, home health agencies, and facilities providing outpatient services (for example, physical therapy). Identifying information of patients and providers was removed from the medical records. Trained nurses with previous experience in quality assessment performed medical record abstraction. Abstractors were provided with written abstraction guidelines and real-time consultation with a senior nurse reviewer. The abstractor considered all of a patients records when assessing whether he or she was eligible for and received the indicated care processes. In other words, information on eligibility for a QI could have been derived from 1 record (such as an outpatient note) while the care process was delivered and documented in another setting (for example, inpatient medical record). If the care process was performed in the defined time interval, care was scored as complying with the QI. The senior nurse reviewer also assessed each completed medical record abstraction. Physicians reviewed QIs that required a more detailed level of clinical assessment. Examples include whether the elements of a delirium evaluation had been completed or whether an adequate intervention was performed for hyperlipidemia. An ophthalmologist evaluated selected data elements addressing vision care. Ten percent of all records were reabstracted to evaluate reliability of the abstraction process. Exact agreement on QI eligibility and score was 95%. (For details of abstractor preparation and abstraction materials, see the Appendix.) Quality-of-Care Interview A quality-of-care interview was conducted to ask study participants (or, if participants were incapable of responding, their proxies) about aspects of their care that might not be captured in the medical record (for example, physicianpatient counseling). On the basis of conditions and medications reported during the interview, patients were asked about specific processes of care they had received. Patients were also asked about care preferences that might affect the applicability of QIs. In addition, the interview included demographic questions and functional status items. The quality-of-care interview was conducted by telephone between August and October 2000 and required, on average, 44 minutes to complete. Statistical Analysis Of the 236 QIs, we were able to evaluate 207 using chart abstraction (n = 185 [89%]) or interview (n = 22 [11%]). Interview was used to score QIs for data elements that we did not collect from the medical record. A QI was scored for a patient if he or she satisfied the IF statement of the QI and thus was eligible to receive the specified care process (Table 1). A score of 1 was awarded if the care process was carried out, and a score of 0 was assigned if it was not. For QIs that included several triggering events, a score between 0 and 1 was possible. If the medical record indicated that the patient declined the care process, the QI was considered to be passed (the care was credited in both the numerator and the denominator of the indicator score). On the other hand, if the patient had a pre

The Quality of Pharmacologic Care for Vulnerable Older Patients

Context Prescription and management of medications are important issues for older adults. Contribution Among elders enrolled in two managed care organizations, most quality problems were related to failure to prescribe indicated medications; failure to monitor medications; and failure to provide medication along with proper documentation and education in concert with other physicians. Implications Prescribing inappropriate medications for older adults is less of an issue than other aspects of drug therapy. Quality improvement efforts should focus on avoiding errors of omission in prescribing indicated medications, monitoring, patient education, and follow-up. The Editors Pharmacotherapy is an essential component of medical treatment for older patients, but medications are also responsible for many adverse events in this group. Ninety percent of people 65 years of age or older take at least one medication (1). This age group, which represents only 13% of the population, accounts for one third of all prescription drug expenditures in the United States (2). Many older persons take multiple drugs for the treatment of several conditions, which increases the chance of adverse drug reactions, drugdrug interactions, and drugdisease interactions. The frequency of adverse drug events in elderly outpatients ranges from 10% to 35%, depending on the setting (3-5). Recognizing the magnitude of medication-related issues, panels of geriatric experts rate medication problems among the most important quality-of-care problems for older patients (6-8). Reflecting the severity and frequency of adverse drug events in older patients, many investigations have focused on the appropriateness of medication prescribing to elderly persons. Implicit review mechanisms include the Medication Appropriateness Index, which consists of 10 medication characteristics (including indication, effectiveness, and dosage) that a trained pharmacist reviewer can judge as appropriate, marginally appropriate, or inappropriate. An application of the Medication Appropriateness Index to elderly veterans taking 5 or more prescription medications found that 74% had at least 1 inappropriate aspect to their prescriptions (9, 10). Reviews using explicit criteria usually focus on medications that should be avoided in the care of older patients. The list of medications to avoid, which was developed by Beers and colleagues on the basis of a formal consensus of geriatric experts (11-13), has been applied to various groups of patients, revealing a high prevalence of inappropriate drug use (14-20). In addition, explicit criteria about drugdrug interactions, treatment duration, and drug contraindications were created by Tamblyn and colleagues and applied to medications prescribed to older patients in Canada (21). They found that more than half of older patients took at least one high-risk medication. Health policy efforts, on the other hand, have focused predominantly on finding ways to pay for the medication needed by older patients. Proposals aim to improve access to pharmacologic care but do not strive to develop mechanisms to evaluate or improve the quality of medication management for older patients. Improvement in access to medications without quality assurance may result in a mere increase in care without change in outcomes. To provide a more comprehensive evaluation of the quality of pharmacologic care for older patients, we systematically evaluated medication management for a sample of older patients by taking advantage of a set of explicit process of care quality indicators developed and implemented in the Assessing Care of Vulnerable Elders (ACOVE) project (22). Whereas the earlier ACOVE analysis described overall quality of care and compared care quality for geriatric and medical conditions, this study focuses on pharmacologic care and identifies improvement needs in medication management. Our quality evaluation covered the continuum of pharmacologic care, from recognizing the indications for medications to choosing medication, prescribing appropriately, educating and documenting, and monitoring after prescribing. Methods The ACOVE project developed a set of explicit quality indicators to evaluate the care provided to vulnerable older persons (22-24). The system focuses on processes of care within the domains of prevention, diagnosis, treatment, and follow-up and covers the spectrum of care contained in 22 conditions that are important in the care of older patients (7). The methods for selecting conditions and developing the quality indicators are described in detail elsewhere (7, 23). Methods included systematic literature reviews and multiple layers of expert judgment (23). The literature review resulted in proposal of candidate quality indicators, which were reviewed by an expert panel that rated each of the proposed quality indicators for validity and feasibility. This set was modified and approved by a clinical committee of national geriatric experts and by the American College of Physicians Task Force on Aging (24). From the final ACOVE set of quality indicators, 43 quality indicators (Table 1 and Appendix Table) that pertained to pharmacologic care and had more than 5 eligible patients are included in this analysis. Table 1. Medication Quality Indicators, Number of Eligible Patients, and Pass Rates Patients and Data Collection We assessed care provided to older persons who were enrolled in 2 managed care organizations. Each managed care organization, one in the U.S. Northeast and the other in the Southwest, had more than 20 000 senior enrollees and contracted with a network of providers to deliver care. A random sample of community-dwelling persons 65 years of age or older was drawn from enrollees in each managed care organization. Eligibility criteria included continuous enrollment in the managed care organization for at least 13 months, no out-of-plan care, and no active treatment for malignant conditions (excluding nonmelanoma skin cancer) during the period. In addition, persons who did not speak English were excluded because our interview instruments were not available in other languages. Among the enrollees, we targeted vulnerable elders, defined as persons 65 years of age and older who are at increased risk for death or functional decline. Vulnerable elders were identified on the basis of self-report (or proxy report) by using a brief screening survey (the Vulnerable Elders-13 [VE-13] Survey [25]) administered by telephone. The RAND Institutional Review Board approved the study protocol. Data were derived mainly from abstracting medical records. For participating patients, we identified all inpatient and outpatient medical records during the 13-month period of 1 July 1998 to 31 July 1999. These medical records were abstracted by trained nurses with experience in quality assessment. The abstractor considered all of a patients medical records when assessing whether a patient was eligible for and received the indicated care processes. Information on eligibility for a quality indicator could be derived from one medical record (such as a primary care physician starting an appropriate antidepressant) and the care process delivered and documented from records in another setting (such as a psychiatric consultant escalating the antidepressant dosage in response to lack of improvement). A senior nurse-reviewer assessed each completed medical record abstract, and physician overreaders reviewed quality indicators that required a clinical assessment, such as whether there was follow-up to newly started long-term therapy with a medication or whether newly started therapy with a highly anticholinergic drug had acceptable alternatives. We evaluated inter-rater reliability by re-abstracting a random sample of 10% of the medical records. These records contained 698 quality indicators; 97% had identical eligibility and 95% demonstrated identical eligibility and score. Details of study enrollment and data collection can be found elsewhere (22). Because some aspects of care might not be adequately captured in the medical record (for example, patient education about medications), these data were supplemented by a quality-of-care interview with study participants (or, if necessary, their proxies). During the interview, patients were asked to list all of their medications. On the basis of conditions and medications reported during the interview, patients were asked about specific processes of care they had received. The interview was conducted by telephone between August and October 2000. To minimize recall bias, we asked about most recent care when implementing quality indicators that may include multiple events (for example, education about newly started therapy with a medication). Information was obtained from medical records for 37 quality indicators and from the patient interview for 6 quality indicators. For 4 quality indicators reported previously by using medical record data (22), we used interview data in this analysis because subsequent evaluation revealed that interview data on information transfer quality indicators yielded higher pass rates that were aligned with a priori hypotheses and provided more conservative estimates of quality of care. Statistical Analysis A quality indicator was scored for a patient if he or she met the eligibility criteria to receive the specified care process. The quality indicator was passed if the care process was implemented for the patient. If the medical record indicated that the patient declined the care process, the quality indicator was considered to be passed. On the other hand, if the patient had a prespecified contraindication to the care process (such as a patient with asthma who otherwise was eligible to receive a -blocker after a myocardial infarction), the patient was considered ineligible for the quality indicator. Quality scores were calculated as the proportion of eligible patients who received indicated care. I

Multimorbidity is associated with better quality of care among vulnerable elders

Background: Older patients with multiple chronic conditions may be at higher risk of receiving poorer overall quality of care compared with those with single or no chronic conditions. Possible reasons include competing guidelines for individual conditions, burden of numerous recommendations, and difficulty implementing treatments for multiple conditions. Objectives: We sought to determine whether coexisting combinations of 8 common chronic conditions (hypertension, coronary artery disease, chronic obstructive pulmonary disease, osteoarthritis, diabetes mellitus, depression, osteoporosis, and having atrial fibrillation or congestive heart failure) are associated with overall quality of care among vulnerable older patients. Materials and Methods: Using an observational cohort study, we enrolled 372 community-dwelling persons 65 years of age or older who were at increased risk for death or functional decline within 2 years. We included (1) a comprehensive measure (% of quality indicators satisfied) of quality of medical and geriatric care that accounted for patient preference and appropriateness in light of limited life expectancy and advanced dementia, and (2) a measure of multimorbidity, either as a simple count of conditions or as a combination of specific conditions. Results: Multimorbidity was associated with greaer overall quality scores: mean proportion of quality indicators satisfied increased from 47% for elders with none of the prespecified conditions to 59% for those with 5 or 6 conditions (P < 0.0001), after controlling for number of office visits. Patients with greater multimorbidity also received care that was better than would be expected based on the specific set of quality indicators they triggered. Conclusions: Among older persons at increased risk of death or functional decline, multimorbidity results in better, rather than worse, quality of care.

Introduction to the Assessing Care of Vulnerable Elders-3 Quality Indicator Measurement Set

OBJECTIVES: To update and increase the comprehensiveness of the Assessing Care of Vulnerable Elders (ACOVE) set of process‐of‐care quality indicators (QIs) for the medical care provided to vulnerable elders and to keep up with the constantly changing medical literature, the QIs were revised and expanded.

Hospital readmissions and quality of care.

BACKGROUND Readmission rates are often proposed as markers for quality of care. However, a consistent link between readmissions and quality has not been established. OBJECTIVE To test the relation of readmission to quality and the utility of readmissions as hospital quality measures. SUBJECTS One thousand, seven hundred and fifty-eight Medicare patients hospitalized in four states between 1991 to 1992 with pneumonia or congestive heart failure (CHF). DESIGN Case control. MEASURES Related adverse readmissions (RARs), defined as readmissions that indicate potentially sub-optimal care during initial hospitalization, were identified from administrative data using readmission diagnoses and intervening time periods designated by physician panels. We used linear regression to estimate the association between implicit and explicit quality measures and readmission status (RARs, non-RAR readmissions, and nonreadmissions), adjusting for severity. We tested whether RARs were associated with inferior care and performed simulations to determine whether RARs discriminated between hospitals on the basis of quality. RESULTS Compared with nonreadmitted pneumonia patients, patients with RARs had lower adjusted quality measured both by explicit (0.25 standardized units, P = 0.004) and implicit methods (0.17, P = 0.047). Adjusted differences for CHF patients were 0.17 (P = 0.048) and 0.20 (P = 0.017), respectively. In some analyses, patients with non-RAR readmissions also experienced lower quality. However, rates of inferior quality care did not differ significantly by readmission status, and simulations identified no meaningful relationship between RARs and hospital quality of care. CONCLUSIONS RARs are statistically associated with lower quality of care. However, neither RARs nor other readmissions appear to be useful tools for identifying patients who experience inferior care or for comparing quality among hospitals.

The Quality of Medical Care Provided to Vulnerable Older Patients with Chronic Pain

Objectives: To assess the quality of chronic pain care provided to vulnerable older persons.

The Quality of Care Provided to Hospitalized Patients at the End of Life

BACKGROUND Patients in American hospitals receive intensive medical treatments. However, when lifesaving treatments are unsuccessful, patients often die in the hospital with distressing symptoms while receiving burdensome care. Systematic measurement of the quality of care planning and symptom palliation is needed. METHODS Medical records were abstracted using 16 Assessing Care of Vulnerable Elders quality indicators within the domains of end-of-life care and pain management designed to measure the quality of the dying experience for adult decedents (n = 496) hospitalized for at least 3 days between April 2005 and April 2006 at a university medical center recognized for providing intensive care for the seriously ill. RESULTS Over half of the patients (mean age, 62 years; 47% were women) were admitted to the hospital with end-stage disease, and 28% were 75 years or older. One-third of the patients required extubation from mechanical ventilation prior to death, and 15% died while receiving cardiopulmonary resuscitation. Overall, patients received recommended care for 70% of applicable indicators (range, 25%-100%). Goals of care were addressed in a timely fashion for patients admitted to the intensive care unit approximately half of the time, whereas pain assessments (94%) and treatments for pain (95%) and dyspnea (87%) were performed with fidelity. Follow-up for distressing symptoms was performed less well than initial assessment, and 29% of patients extubated in anticipation of death had documented dyspnea assessments. CONCLUSION A practical, medical chart-based assessment identified discrete deficiencies in care planning and symptom palliation that can be targeted to improve care for patients dying in the hospital.

Anaplastic Large Cell Lymphoma and Breast Implants: A Systematic Review

Background: In recent years, there have been growing concerns about a possible association of non-Hodgkins lymphoma—in particular, anaplastic large cell lymphoma (ALCL)—and breast implants. The purpose of this study was to identify and analyze all reported cases of non-Hodgkins lymphoma occurring in patients with breast implants. Methods: The authors conducted a systematic literature review of reported cases of non-Hodgkins lymphoma in patients with breast implants. Publications were identified with a search algorithm, forward searches, and expert nominations. After references were reviewed and assessed for inclusion or exclusion, case-based data were independently abstracted, reconciled, and adjudicated by multiple investigators. The data were then synthesized and analyzed. Results: Of 884 identified articles, only 83 were relevant to non-Hodgkins lymphoma involving the breast, and 34 were included in our study. Thirty-six cases of non-Hodgkins lymphoma in patients with implants were found, of which 29 (81 percent) were ALCLs. Although detailed clinical information was lacking in many cases, ALCL often involved the capsule and/or presented as an unexplained seroma or mass, was negative for anaplastic lymphoma kinase (ALK) expression, and had a relatively indolent clinical course when it developed adjacent to a breast implant. Conclusions: A form of ALCL, which clinically behaves more like the less aggressive primary cutaneous form of ALK–negative ALCL rather than the more aggressive systemic form, may be associated with breast implants. Future research on the epidemiology and biology of this rare disease is clearly needed to better understand its nature.

Detection and Management of Falls and Instability in Vulnerable Elders by Community Physicians

Objectives: To investigate quality of care for falls and instability provided to vulnerable elders.

A Practice-Based Intervention to Improve Primary Care for Falls, Urinary Incontinence, and Dementia

OBJECTIVES: To determine whether a practice‐based intervention can improve care for falls, urinary incontinence, and cognitive impairment.