Enhancing the potential of quality improvement organizations to improve quality of care.
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Biomedical subjects
Publications and source records attributed to Stephen M Shortell.
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BACKGROUND: It has been five years since the Institute of Medicine (IOM) report, Crossing the Quality Chasm, proposed systemwide changes to transform our health care system. What progress has been made? What lessons have been learned? How should we move forward? METHODS: Semistructured telephone interviews were conducted with 16 health care providers and researchers at organizations involved in system redesign. The findings were supplemented with a focused literature review and discussions from a national expert meeting. RESULTS: Many promising and innovative examples of redesign were identified. However, even delivery systems that are redesigning care in pursuit of the six IOM aims face daunting challenges, reflecting the need to align system changes across multiple levels and to integrate redesign efforts with ongoing system features. Four success factors were reported by providers as crucial in overcoming redesign barriers: (1) directly involving top and middle-level leaders, (2) strategically aligning and integrating improvement efforts with organizational priorities, (3) systematically establishing infrastructure, process, and performance appraisal systems for continuous improvement, and (4) actively developing champions, teams, and staff. A framework that integrates these success factors to facilitate a systems approach to redesigning health care organizations and delivery systems for improved performance is provided. CONCLUSIONS: Successful system redesign requires coordinating and managing a complex set of changes across multiple levels rather than isolated projects.
OBJECTIVE: To examine the association between the scope of quality improvement (QI) implementation in hospitals and hospital performance on selected indicators of clinical quality. DATA SOURCES: Secondary data from 1997 mailed survey of hospital QI practices, Medicare Inpatient Database, American Hospital Association's Annual Survey of Hospitals, the Bureau of Health Professions' Area Resource File, and two proprietary data sets compiled by Solucient Inc. containing data on managed care penetration and hospital financial performance. STUDY DESIGN: Cross-sectional study of 1,784 community hospitals to assess relationship between QI implementation approach and six hospital-level quality indicators. DATA COLLECTION/ABSTRACTION METHODS: Two-stage instrumental variables estimation in which predicted values (instruments) of four QI scope variables and control (exogenous) variables used to estimate hospital-level quality indicators. PRINCIPAL FINDINGS: Involvement by multiple hospital units in QI effort is associated with worse values on hospital-level quality indicators. Percentage of hospital staff and percentage of senior managers participating in formally organized QI teams are associated with better values on quality indicators. Percentage of physicians participating in QI teams is not associated with better values on the hospital-level quality indicators studied. CONCLUSIONS: Results supported the proposition that the scope of QI implementation in hospitals is significantly associated with hospital-level quality indicators. However, the direction of the association varied across different measures of QI implementation scope.
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OBJECTIVES: The purpose of this study was to examine the extent to which measures of health plan clinical performance and measures of patient perceptions of care are associated with health plan organizational characteristics, including the percentage of care provided based on a group or staff model delivery system, for-profit (tax) status, and affiliation with a national managed care firm. DATA SOURCES: Data describing health plans on region, age of health plan, for-profit status, affiliation with a national managed care firm, percentage of Medicare business, total enrollment, ratio of primary care physicians to specialists, HMO penetration, and form of health care delivery system (e.g., IPA, network, mixed, staff, group) were obtained from InterStudy. Clinical performance measures for women's health screening rates, child and adolescent immunization rates, heart disease screening rates, diabetes screening rates, and smoking cessation were developed from HEDIS data. Measures of patient perceptions of care are obtained from CAHPS survey data submitted as Healthplan Employer Data and Information Set, Consumer Assessment of Health Plans 2.0 H. STUDY DESIGN: Multivariate regression cross-sectional analysis of 272 health plans was used to evaluate the relationship of health plan characteristics with measures of clinical performance and patient perceptions of care. PRINCIPAL FINDINGS: The form of delivery system, measured by percent of care delivered by staff and group model systems, is significantly related (p < or = .05) with four of the five clinical performance indices but none of the three satisfaction performance indices. Other variables significantly associated with performance were being geographically located in the Northeast, having nonprofit status, and for patient satisfaction, not being part of a larger insurance company. CONCLUSIONS: These comparative results provide evidence suggesting that the type of delivery system used by health plans is related to many clinical performance measures but is not related to patient perceptions of care. These findings underscore the importance of the form of the delivery system and the need for further inquiry that examines the relationship between organizational form and performance.
This study examines the association between scope of Quality Improvement (QI) implementation in hospitals and hospital performance on patient safety indicators. Secondary data sources included a 1997 survey of hospital QI practices, Medicare Inpatient Database, American Hospital Association's Annual Survey of Hospitals, the Bureau of Health Professions' Area Resource File, and two proprietary data sets. Using a sample of 1,784 community hospitals, the study employed two-stage instrumental variables estimation in which predicted values of four QI scope variables and control variables were used to estimate four patient safety indicators. Involvement by multiple hospital units in the QI effort is associated with worse values on all four patient safety indicators. Percentages of hospital staff and of senior managers participating in QI teams exhibited no statistically significant association with any patient safety indicator. Percentage of physicians participating in QI teams is associated with better values on two patient safety indicators.
Quality improvement (QI) is an organized approach to planning and implementing continuous improvement in performance. Although QI holds promise for improving quality of care and patient safety, hospitals that adopt QI often struggle with its implementation. This article examines the role of organizational infrastructure in implementation of quality improvement practices and structures in hospitals. The authors focus specifically on four elements of hospital support and infrastructure for QI-integrated data systems, financial support for QI, clinical integration, and information system capability. These macrolevel factors provide consistent, ongoing support for the QI efforts of clinical teams engaging in direct patient care, thus promoting institutionalization of QI. Results from the multivariate analysis of 1997 survey data on 2350 hospitals provide strong support for the hypotheses. Results signal that organizations intent upon improving quality must attend to the context in which QI efforts are practiced, and that such efforts are unlikely to be effective unless appropriate support systems are in place to ensure full implementation.
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As national health systems pursue the common goals of containing expenditure growth and improving quality, many have sought to replace autonomous modes (systems) of physician control that rely on initial professional training and subsequent peer review. A common approach has involved extending bureaucratic modes of physician control that employ techniques such as hierarchical coordination and salaried positions. This paper applies concepts from studies of professional work to frame an empirical analysis of emergent bureaucratic modes of physician control in US hospital-based systems. Conceptually, we draw from recent studies to update Scott's (Health Services Res. 17(3) (1982) 213) typology to specify three bureaucratic modes of physician control: heteronomous, conjoint, and custodial. Empirically, we use case study evidence from eight US hospital-based systems to illustrate the heterogeneity of bureaucratic modes of physician control that span each of the ideal types. The findings indicate that some influential analysts perpetuate a caricature of bureaucratic organization which underplays its capacity to provide multiple modes of physician control that maintain professional autonomy over the content of work, and present opportunities for aligning practice with social goals.
BACKGROUND: Use of electronic medical records (EMRs) in health care organizations can reduce medical errors and improve quality of care through physicians' increased use of evidence-based patient care processes. However, only 20%-25% of physician organizations have adopted EMRs. A study was undertaken to determine the characteristics of primary care medical groups that distinguish EMR adopter from nonadopter organizations. METHODS: A quantitative nationwide survey was undertaken of all primary care medical groups in the United States with 20 or more physicians; data were collected on 738 medical groups (70% response rate). RESULTS: Fewer than one-third of the medical groups reported having either patients' medical records or progress notes in an EMR. Large organizations with relatively fewer practice locations were more likely to adopt an EMR. DISCUSSION: Large medical groups are more likely to have the financial and human resources necessary to overcome barriers to the adoption of an EMR. Knowing the influence of the other organizational characteristics on EMR adoption will help prepare organizational leaders for the complicated process of achieving consensus among physicians and others in medical groups on the expenditure of funds and other resources to acquire an EMR. Financial incentives for all medical groups will help drive EMR adoption, but financial and technical assistance aimed specifically at smaller groups is particularly warranted. Widespread adoption of EMR among medical groups will take time.
OBJECTIVE: To measure organizations' implementation of Chronic Care Model (CCM) interventions for chronic care quality improvement (QI). DATA SOURCES/STUDY SETTING: Monthly reports submitted by 42 organizations participating in three QI collaboratives to improve care for congestive heart failure, diabetes, depression, and asthma, and telephone interviews with key informants in the organizations. STUDY DESIGN: We qualitatively analyzed the implementation activities of intervention organizations as part of a larger effectiveness evaluation of yearlong collaboratives. Key study variables included measures of implementation intensity (quantity and depth of implementation activities) as well as fidelity to the CCM. DATA COLLECTION/EXTRACTION METHODS: We developed a CCM-based scheme to code sites' intervention activities and criteria to rate their depth or likelihood of impact. PRINCIPAL FINDINGS: The sites averaged more than 30 different change efforts each to implement the CCM. The depth ratings for these changes, however, were more modest, ranging from 17 percent to 76 percent of the highest rating possible. The participating organizations significantly differed in the intensity of their implementation efforts (p<.001 in both quantity and depth ratings). Fidelity to the CCM was high. CONCLUSIONS: Collaborative participants were able, with some important variation, to implement large numbers of diverse QI change strategies, with high CCM fidelity and modest depth of implementation. QI collaboratives are a useful method to foster change in real world settings.
OBJECTIVE: Disease registries are lists of patients with a particular chronic illness, including clinical information, to improve the care of individuals and populations. The objective of this study was to determine the prevalence of disease registries in physician organizations and the extent to which they are used to improve care. DESIGN: A cross-sectional national telephone survey with a response rate of 70%. SETTING: All physician organizations in the United States with 20 physicians or more. PARTICIPANTS: Chief executive officers, presidents, or medical directors of 1040 physician organizations. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Forty-seven percent of organizations reported having a registry for at least 1 chronic illness, with diabetes registries being the most common. Half (51%) of the registries were not linked to clinical data. Organizations with at least 1 registry were more likely to have implemented other chronic care improvements (P < .0001). Factors associated with the presence of registries in physician organizations include external incentives for quality and extent of information technology capabilities. CONCLUSIONS: Disease registries are not utilized by half of physician organizations. This finding is disturbing because registries have the potential to catalyze needed improvement in chronic care management.
The performance of medical groups is receiving increased attention. Relatively little conceptual or empirical work exists that examines the various dimensions of medical group performance. Using a national database of 693 medical groups, this article develops a scorecard approach to assessing group performance and presents a theory-driven framework for differentiating between high-performing versus low-performing medical groups. The clinical quality of care, financial performance, and organizational learning capability of medical groups are assessed in relation to environmental forces, resource acquisition and resource deployment factors, and a quality-centered culture. Findings support the utility of the performance scorecard approach and identification of a number of key factors differentiating high-performing from low-performing groups including, in particular, the importance of a quality-centered culture and the requirement of outside reporting from third party organizations. The findings hold a number of important implications for policy and practice, and the framework presented provides a foundation for future research.
BACKGROUND: Health promotion programs can be effective in improving the delivery of clinical preventive services and in improving population health; however, the availability of health promotion programs offered through physician organizations, such as medical groups and independent practice associations, are largely unknown. METHODS: This research uses data from the National Study of Physician Organizations and the Management of Chronic Illness, conducted by the University of California, Berkeley, to document the extent to which physician organizations offer health promotion programs. Of 1587 physician organizations nationally with 20 or more physicians, 1104 participated, for a response rate of 70%. RESULTS: Overall, 60% of physician organizations offer at least one health promotion program targeting one or more of eight areas: prenatal education (42%), smoking cessation (39%), nutrition (39%), weight loss (34%), health risk assessments (25%), stress management (25%), substance abuse (20%), and sexually transmitted disease prevention (16%). Factors positively associated with offering health promotion programs include the following: outside reporting of quality measures, public recognition for quality measures, clinical information technology systems, being a medical group, and ownership by a hospital or health plan. CONCLUSIONS: Physician organizations in the United States have a long way to go in offering these important programs to their patients. However, our findings also suggest that health plans, purchasers, and policymakers can play a positive role in increasing the use of these programs. By offering recognition and incentives for quality improvement, and by funding the expansion of information technology, the healthcare community can encourage and enable physician organizations to increase the availability of health promotion programs nationally.
BACKGROUND: Clinical preventive services improve patient health, and reminder systems can increase the use of such services. However, physician organizations often underutilize clinical preventive service reminders. Little is known about the incentives, capabilities, and organizational characteristics associated with the use of reminders by physician organizations. METHODS: The predictors of patient and physician reminder system use were examined in a sample of 1,104 US physician organizations. The cross-sectional sample was obtained through a telephone survey with a 70% response rate. RESULTS: Fifty-one percent of physician organizations used mammogram reminders, 41% used influenza immunization reminders, and 26% used eye exam reminders for patients. Eighteen percent of physician organizations used computer-generated reminders to physicians. Required reporting of data (P = 0.0006), public recognition for quality (P = 0.0002), and IT capabilities (P < 0.0001) were strongly associated with patient reminder use. Medical groups were more likely to use patient-level reminders than independent practice associations (IPAs) (P < 0.0001). Physician reminder use was related to required reporting of data (P < 0.0001) and IT capabilities (P < 0.0001). CONCLUSIONS: Physician organizations have relatively low use of preventive service reminders to patients and physicians. Offering quality incentives to physician organizations and improving their IT capabilities may increase the use of preventive service reminders and improve the delivery of preventive care.
BACKGROUND: Care management processes (CMPs) such as disease registries, reminder systems, performance feedback, case management, and self-management education can improve chronic illness care, yet 50% of physician organizations have instituted few if any CMPs. METHODS: Site-visit interviews were conducted with 158 leaders at 15 physician organizations, with 3 organizations (1 large medical group, 1 small medical group, and 1 independent practice association [IPA]) chosen randomly in most cases in each of five communities. RESULTS: Seven of the 15 organizations had implemented CMPs minimally or not at all. CMPs were most common for diabetes and least common for depression; no IPAs had achieved significant CMP implementation for any of the conditions. The two most commonly mentioned facilitators were strong leadership and organizational culture valuing quality. The top five barriers were poor financial situation, reimbursement that does not reward high quality, inadequate information technology, physician resistance, and physicians being too busy. DISCUSSION: Strong leadership and a quality-valuing culture are important facilitators of improved chronic care, but if insurers do not reward chronic care improvement, it is unlikely that CMPs will become permanently institutionalized in physician organizations.
BACKGROUND/OBJECTIVES: The importance of teams for improving quality of care has received increased attention. We examine both the correlates of self-assessed or perceived team effectiveness and its consequences for actually making changes to improve care for people with chronic illness. STUDY SETTING AND METHODS: Data were obtained from 40 teams participating in the national evaluation of the Improving Chronic Illness Care Program. Based on current theory and literature, measures were derived of organizational culture, a focus on patient satisfaction, presence of a team champion, team composition, perceived team effectiveness, and the actual number and depth of changes made to improve chronic illness care. RESULTS: A focus on patient satisfaction, the presence of a team champion, and the involvement of the physicians on the team were each consistently and positively associated with greater perceived team effectiveness. Maintaining a balance among culture values of participation, achievement, openness to innovation, and adherence to rules and accountability also appeared to be important. Perceived team effectiveness, in turn, was consistently associated with both a greater number and depth of changes made to improve chronic illness care. The variables examined explain between 24 and 40% of the variance in different dimensions of perceived team effectiveness; between 13% and 26% in number of changes made; and between 20% and 42% in depth of changes made. CONCLUSIONS: The data suggest the importance of developing effective teams for improving the quality of care for patients with chronic illness.