Keys to building effective community partnerships.

A four-year study of 25 community health partnerships reveals the six characteristics that help partnerships succeed. Managing size and diversity, addressing coalition conflict, and recognizing life cycles are among the primary behaviors differentiating the strong from the weak.

Physician-system alignment: introductory overview.

The papers in this Special Supplement are based on research funded by the participating members of the joint Center for Health Management Research (CHMR) and Center for Organized Delivery Systems (CODS), and supported by the National Science Foundation under its Industry-University Cooperative Research Center Program. This 3-year research initiative from 1996 through 1999 involved 69 physician organizations (primarily organized medical groups as opposed to IPAs) associated with 14 organized delivery systems. The groups ranged in size from three to 958 with an average size of 76.4 and a median size of 25.0. Comparisons of the study groups with United States physician groups overall are shown in Table 1. The study groups are larger and more likely to be multispecialty than all groups in the United States. The organized delivery systems range in size from one hospital to 80 hospitals with an average of 21 hospitals per system and a median of 11 hospitals per system. They average 4.6 affiliated medical groups with a range from one to 23. The organized delivery systems range in total revenues in 1998 from $340 million to $6.2 billion with an average of $2.1 billion. All the study systems are not-for-profit. Most are located in single market areas, but several are located in multiple markets. For the most part, they represent some of the larger most experienced organized delivery systems in the country. Among the primary objectives of the study was to identify the factors most strongly associated with physician alignment with the health care system and the consequences for the implementation of evidence-based care management practices. The study was also designed to identify the barriers and facilitators to achieving such alignment and its consequences.

The ties that bind: interorganizational linkages and physician-system alignment.

OBJECTIVES: To examine the association between the degree of alignment between physicians and health care systems, and interorganizational linkages between physician groups and health care systems. METHODS: The study used a cross sectional, comparative analysis using a sample of 1,279 physicians practicing in loosely affiliated arrangements and 1,781 physicians in 61 groups closely affiliated with 14 vertically integrated health systems. Measures of physician alignment were based on multiitem scales validated in previous studies and derived from surveys sent to individual physicians. Measures of interorganizational linkages were specified at the institutional, administrative, and technical core levels of the physician group and were developed from surveys sent to the administrator of each of the 61 physician groups in the sample. Two stage Heckman models with fixed effects adjustments in the second stage were used to correct for sample selection and clustering respectively. RESULTS: After accounting for sample selection, fixed effects, and group and individual controls, physicians in groups with more valued practice service linkages display consistently higher alignment with systems than physicians in groups that have fewer such linkages. Results also suggest that centralized administrative control lowers physician-system alignment for selected measures of alignment. Governance interlocks exhibited only weak associations with alignment. CONCLUSIONS: Our findings suggest that alignment generally follows resource exchanges that promote value-added contributions to physicians and physician groups while preserving control and authority within the group.

Implementing evidence-based medicine: the role of market pressures, compensation incentives, and culture in physician organizations.

OBJECTIVES: To assess the extent to which market pressures, compensation incentives, and physician medical group culture are associated with the use of evidence-based medicine practices in physician organizations. METHODS: Cross-sectional exploratory study of 56 medical groups affiliated with 15 integrated health systems from across the United States, involving 1,797 physician respondents. Larger medical groups and multispecialty groups were overrepresented compared with the United States as a whole. Data are from two sources: (1) surveys of physicians assessing the culture of the medical groups in which they work, and (2) surveys of medical directors and other managerial key informants pertaining to care management practices, compensation methods, and the management and governance of the medical groups. Physician-level data were aggregated to the group level to attain measures of group culture and then merged with the data regarding care management, incentives, and management and governance. Stepwise multiple regression was used to examine the study hypotheses. RESULTS: As hypothesized, the number of different types of compensation incentives used (cost containment, productivity, quality) was positively associated with the comprehensiveness of care management practices. The degree of salary control (ie, market-based salary grades and ranges versus the use of bookings or fees and individual negotiation) was also positively associated with the deployment of care management practices. As hypothesized, market pressures in the form of percentages of health maintenance and preferred provider organization patients seen were generally positively associated with the use of care management practices. Organizational culture had no association except that a patient-centered culture in combination with a greater number of different types of compensation incentives used was positively associated with greater use of care management practices. CONCLUSIONS: Both compensation incentives and managed care market pressures were significantly associated with the use of evidence-based care management practices. The lack of association for culture may be due to the relatively amorphous nature of most physician organizations at this point.

Factors associated with physician involvement in care management.

BACKGROUND: Enthusiasm for the concept of care management (CM) has led to unprecedented growth in the number of guidelines and protocols, but provider organizations have struggled to enlist the active support and participation of physicians in CM activities. OBJECTIVES: To empirically examine the factors influencing physician participation in and attitudes toward CM activities. METHODS: Data on 1,514 physicians were used to predict physician attitudes toward CM and their perceptions of group CM behaviors. Dependent variables were modeled using two-stage Heckman selection bias models with fixed effects corrections. Independent predictors included physician- and group-level controls as well as six potential CM participation and attitude facilitators. RESULTS: Physician participation in the implementation phase of CM activities was positively related to participation and attitude. However, physician participation in the development phase may be negatively related to later participation in CM activities. Management involvement in development phase has mixed effects (positive or no effect), but their involvement in the implementation phase was somewhat negatively related to CM participation and attitude. Financial incentives for participation in CM activities and presence of a useful management information system also appeared to be positively related to attitude and participation. CONCLUSIONS: Appropriate physician and management involvement, as well as financial incentives and useful management information systems may facilitate physician participation in CM activities. Physician involvement in implementation of CM practices appears to be important, whereas their involvement in the development phase may be negatively related to later attitudes and participation. The findings call for a more in-depth understanding of the timing of physician input in CM activities.

Physician commitment to organized delivery systems.

BACKGROUND: Health care systems have developed many types of contracting vehicles with physicians. The immediate aim of these vehicles has been to foster physician commitment and alignment to the system. The ultimate aim of these vehicles has been to garner managed care contracts, reduce costs, and improve quality. To date, most of these vehicles have failed to improve physician commitment. This may be one reason why the ultimate outcomes have not been observed. Consequently, systems are experimenting with new methods to partner with physicians. One new method is to segment physicians into tightly linked and loosely linked strategic alliances and devote different levels of resources and attention to each. OBJECTIVES: This study evaluates whether the segmentation of physicians into tightly linked versus loosely linked strategic alliances improves the commitment of physicians to the system. The study then investigates which constituent elements of the tightly linked strategic alliances exhibit the greatest association with commitment. DESIGNS AND SUBJECTS: The study uses a cross-sectional design and survey data drawn from 1,965 physicians affiliated with 14 health care systems around the country. Tightly linked physicians typically practiced in hospital-sponsored group practices, whereas loosely linked physicians typically used the system's hospitals as their primary site of inpatient practice. MEASURES: Commitment is measured by seven different scales drawn from the literature on organizational commitment, loyalty, and identification. Some of the scales refer to physician attitudes, whereas others describe physician behaviors. The literature suggests that commitment is associated with both instrumental/utilitarian considerations (eg, older age, tenure with system, admissions to system, receipt of a stipend, etc.) as well as administrative involvement/participation considerations (eg, decision-making roles). A series of physician background and practice characteristics are used here to model these two types of factors. RESULTS: The study finds small but significant differences in commitment between physicians in tightly linked versus loosely linked alliances. Multivariate analyses suggest that instrumental/utilitarian factors (eg, age, receipt of stipend, percent of admissions to the system) may exhibit stronger associations with commitment than the physician's administrative involvement in the organization. CONCLUSIONS: To the degree that physician commitment is possible, systems should appeal to physicians' calculative motivations using extrinsic rewards rather than normative involvement in the organization.

Risk assumption and physician alignment with health care organizations.

OBJECTIVES: To examine the association between risk assumption by individual physicians and physician groups and the degree of alignment between physicians and health care systems. METHODS: A cross sectional comparative analysis using a sample of 1,279 physicians practicing in loosely affiliated arrangements and 1,781 physicians in 61 groups closely affiliated with 14 vertically integrated health systems. Measures of physician alignment were based on multiitem scales validated in previous studies and derived from surveys sent to individual physicians. Measures of risk assumption were developed from surveys sent to the administrator of each of the 61 physician groups in the sample and to physicians affiliated with these groups. Two stage Heckman models with fixed effects adjustments in the second stage were used to correct for sample selection and clustering respectively. RESULTS: After accounting for selection, fixed effects, and group and individual controls, physicians in groups with larger proportional revenue from managed care displayed greater normative commitment and system loyalty than physicians in groups with lower proportional managed care revenue. Individual-level managed care risk was also positively related to both normative commitment and group behavioral commitment to the system. Physicians in groups with larger physician equity positions expressed lower levels of normative commitment to the system. Physician productivity compensation was negatively related to all measures of alignment. Finally, group emphasis on individually-based incentives for staff physicians was negatively related to system identification. CONCLUSIONS: Our findings suggest that organizations must balance individually-based risk schemes with those that emphasize the performance of the group and the system to achieve long-term goals of loyalty, identification, and commitment to the system.

Physician-system relationships: stumbling blocks and promising practices.

OBJECTIVES: To identify the barriers, facilitators, and potential better practices to achieving physician-system alignment. METHODS: Interviews using a semi-structured, open-ended protocol were conducted during a total of 18 site visits, each usually 2 days in length, covering multiple topics of physician group-system alignment. Interviews were conducted with members of the target physician group, key leaders of the health care system, and representatives of physicians not in the target group. The summary of the interviews for each of the site visits was analyzed to determine barriers, facilitators, and better practices for achieving more effective relationships between physician groups and health care systems. RESULTS: A number of barriers to more effective relationships between physician groups and health systems were identified. Barriers related to environment, culture, and information systems were most prevalent. Other major general areas of barriers encountered were physician leadership, group-system relationship, compensation and productivity, care management practices, group strategy, and accountability. Examples of practices that may help to resolve some of these issues were also identified. CONCLUSIONS: Physician-system relationships can and do cause problems for improving health care. The evidence from the conducted site visits suggests that specific strategies may help improve these relationships but more research is needed in order assess the actual impact of these strategies.

Improving the quality of health care in the United Kingdom and the United States: a framework for change.

Fueled by public incidents and growing evidence of deficiencies in care, concern over the quality and outcomes of care has increased in both the United Kingdom and the United States. Both countries have launched a number of initiatives to deal with these issues. These initiatives are unlikely to achieve their objectives without explicit consideration of the multilevel approach to change that includes the individual, group/team, organization, and larger environment/system level. Attention must be given to issues of leadership, culture, team development, and information technology at all levels. A number of contingent factors influence these efforts in both countries, which must each balance a number of tradeoffs between centralization and decentralization in efforts to sustain the impetus for quality improvement over time. The multilevel change framework and associated properties provide a framework for assessing progress along the journey.

Tracking the changing provider landscape: implications for health policy and practice.

Throughout the 1990s health care providers were interested in developing organized delivery systems. However, industry observers have increasingly questioned the sense of these efforts. Using an established taxonomy of health networks and systems, we examined whether there was a nationwide trend away from the vertical and horizontal arrangements that serve as the backbone to organized delivery systems. Studying 1994-1998, we found that both health networks and systems became less centralized in their hospital services, physician arrangements, and insurance product development. We did not find a general pathway to disintegration but instead found considerable experimentation in organizational form.

The financial performance of hospitals belonging to health networks and systems.

The U.S. health industry is experiencing substantial restructuring through ownership consolidation and development of new forms of interorganizational relationships. Using an established taxonomy of health networks and systems, this paper develops and tests four hypotheses related to hospital financial performance. Consistent with our predictions, we find that hospitals in health systems that had unified ownership generally had better financial performance than hospitals in contractually based health networks. Among health network hospitals, those belonging to highly centralized networks had better financial performance than those belonging to more decentralized networks. However, health system hospitals in moderately centralized systems performed better than those in highly centralized systems. Finally, hospitals in networks or systems with little differentiation or centralization experienced the poorest financial performance. These results are consistent with resource dependence, transaction cost economics, and institutional theories of organizational behavior, and provide a conceptual and empirical baseline for future research.

Classifying health networks and systems: managerial and policy implications.

This article illustrates how a new approach to classifying health networks and systems can be used to evaluate the readiness of health care organizations to accept risk. Examples are provided from the Harris-Methodist, Henry Ford, and SSM Health Care Systems. The classification system can also be used to assist executives and physician leaders in making decisions involving the centralization of services, the number of different services to offer, and decisions to enter into various strategic alliances. The classification system can be updated to help track the evolution of the U.S. health care system over time.

The governance and management of effective community health partnerships: a typology for research, policy, and practice.

Community health partnerships (CHPs) are voluntary collaborations of diverse community organizations that have joined forces in order to pursue a shared interest in improving community health. Although these cross-sectoral collaborations represent a way to address social determinants of health and disease in society, they suffer from governance and management problems associated with interorganizational relationships in general and health care challenges specifically. A typology of effective governance and management characteristics provides a systematic, theoretically based way of addressing dimensions of governance and management and serves as a guide in constructing, maintaining, and measuring successful partnerships. It offers a multidisciplinary perspective for classifying important organizational issues, identifying barriers to successful development and sustainability, and facilitating the attainment of goals.

Assessing the impact of total quality management and organizational culture on multiple outcomes of care for coronary artery bypass graft surgery patients.

OBJECTIVES: To assess the impact of total quality management (TQM) and organizational culture on a comprehensive set of endpoints of care for coronary artery bypass graft surgery (CABG) patients, including risk-adjusted adverse outcomes, clinical efficiency, patient satisfaction, functional health status, and cost of care. METHODS: Prospective cohort study of 3,045 eligible CABG patients from 16 hospitals using risk-adjusted clinical outcomes, functional health status, patient satisfaction, and cost measures. Implementation of TQM was measured by a previously validated instrument based on the Baldridge national quality award criteria. Organizational culture was measured by a previously validated 20-item instrument. Generalized estimating equations were used to control for potential selection bias, repeated measures, and intraclass correlation. RESULTS: A 2- to 4-fold difference in all major clinical CABG care endpoints was observed among the 16 hospitals, but little of this variation was associated with TQM or organizational culture. Patients receiving CABG from hospitals with high TQM scores were more satisfied with their nursing care (P = 0.005) but were more likely to have lengths of stay >10 days (P = 0.0003). A supportive group culture was associated with shorter postoperative intubation times (P = 0.01) but longer operating room times (P = 0.004). A supportive group culture was also associated with higher patient physical (P = 0.005) and mental (P = 0.01) functional health status scores 6 months after CABG. CONCLUSIONS: There was little effect of TQM and organizational culture on multiple endpoints of care for CABG patients. There is a need to examine further the relationships among individual professional skills and motivations, group and microsystem team processes, specifically tailored interventions, and organization-wide culture, decision support processes, and incentives. Assessing the impact of such multifaceted approaches is an important area for further research.

A taxonomy of health networks and systems: bringing order out of chaos.

OBJECTIVE: To use existing theory and data for empirical development of a taxonomy that identifies clusters of organizations sharing common strategic/structural features. DATA SOURCES: Data from the 1994 and 1995 American Hospital Association Annual Surveys, which provide extensive data on hospital involvement in hospital-led health networks and systems. STUDY DESIGN: Theories of organization behavior and industrial organization economics were used to identify three strategic/structural dimensions: differentiation, which refers to the number of different products/services along a healthcare continuum; integration, which refers to mechanisms used to achieve unity of effort across organizational components; and centralization, which relates to the extent to which activities take place at centralized versus dispersed locations. These dimensions were applied to three components of the health service/product continuum: hospital services, physician arrangements, and provider-based insurance activities. DATA EXTRACTION METHODS: We identified 295 health systems and 274 health networks across the United States in 1994, and 297 health systems and 306 health networks in 1995 using AHA data. Empirical measures aggregated individual hospital data to the health network and system level. PRINCIPAL FINDINGS: We identified a reliable, internally valid, and stable four-cluster solution for health networks and a five-cluster solution for health systems. We found that differentiation and centralization were particularly important in distinguishing unique clusters of organizations. High differentiation typically occurred with low centralization, which suggests that a broader scope of activity is more difficult to centrally coordinate. Integration was also important, but we found that health networks and systems typically engaged in both ownership-based and contractual-based integration or they were not integrated at all. CONCLUSIONS: Overall, we were able to classify approximately 70 percent of hospital-led health networks and 90 percent of hospital-led health systems into well-defined organizational clusters. Given the widespread perception that organizational change in healthcare has been chaotic, our research suggests that important and meaningful similarities exist across many evolving organizations. The resulting taxonomy provides a new lexicon for researchers, policymakers, and healthcare executives for characterizing key strategic and structural features of evolving organizations. The taxonomy also provides a framework for future inquiry about the relationships between organizational strategy, structure, and performance, and for assessing policy issues, such as Medicare Provider Sponsored Organizations, antitrust, and insurance regulation.