Biomedical subjects
Publications and source records attributed to S M Shortell.
This article reports the findings of an analysis of the implementation of continuous quality improvement (CQI) or total quality management (TQM) programs in 10 hospitals. This analysis is the result of a 2-year study designed to identify and assess the ingredients that lead to the successful implementation of CQI programs in acute care hospitals.
This article examines the etiology of hospital closure and the correlates of hospital closure and the extent of similarity in this organizational outcome between pre- and post-Prospective Payment System (PPS) implementation. It also replicates a study from an earlier time period. Findings support the study's main hypotheses: in more stringent and turbulent markets, institutional and strategic variables are more important determinants of hospital closure. Merger acquisitions are found to be similar to both system acquisitions and autonomous hospitals. Standard Metropolitan Statistical Area (SMSA) status and regulation show an effect on hospital closure and merger acquisition. While many similarities exist when compared to the replicated study and findings prior to PPS implementation, it appears that sufficient differences exist to support the hypothesis that the PPS has an impact upon hospital organizational outcome.
Major organizational changes among hospitals, like system affiliation, merger, and closure, would seem to offer substantial opportunities for hospitals and health systems to be strategic in the local reconfiguration of health services. This report presents the results of a unique survey on what happened to hospitals after mergers occurring between 1983 and 1988, inclusive. Building on an ongoing verification process of the American Hospital Association, surviving institutions from all 74 mergers that occurred during the study frame were surveyed in the fall of 1991. Responses were received from 60 of the 74 mergers (81%), regarding the primary, postmerger use of the hospitals involved. Topics surveyed included the premerger competition between the hospitals and in their environment, and what happened to the hospitals after their mergers. Mergers frequently served to convert acute, inpatient capacity to other functions, with less than half of acquired hospitals continuing acute services after merger. In the context of health care reform, mergers may offer an expeditious way locally to restructure health services. Evidence on the postmerger uses of hospitals and about the reasons given for merger suggests that mergers may reflect two general strategies: elimination of direct acute competitors or expansion of acute care networks.
This article describes a model of CQI that is designed to characterize the elements necessary for successfully improving quality at an organization-wide level; describe and understand the organizational dynamics in implementing an organization-wide effort; and aid in diagnosing and solving common implementation challenges. Three cases illustrate the model and how it can be used.
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Review of the literature on CQI/TQM in both health care and non-health care settings reveals some evidence of a positive impact for selected dimensions of CQI/TQM. There is little research, however, that examines CQI/TQM as a holistic integrated approach to quality improvement, nor are there many studies that go beyond single or small sample case studies. Using a conceptual framework involving cultural, technical, strategic, and structural dimensions, a number of barriers to CQI implementation are identified along with suggestions for high-priority areas of research.
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The American hospital is being reinvented to conform with the forces that are replacing the acute, inpatient-oriented illness model of health care with a disease-prevention, health-promotion, primary-care one. Although hospitals will no longer conduct the "core business" of American health care, they can play a key role by empowering others and facilitating the integration of health services across the continuum of care. New management and governance structures will be required, as will population-based health status needs assessments, new relations with physicians, re-engineering of the clinical processes, organization-wide commitment to improving quality, information systems that link patients and providers, and creation of an overall community care management system. Despite major barriers, there are examples of progress.
OBJECTIVE: This study examines the relationships among organizational culture, quality improvement processes and selected outcomes for a sample of up to 61 U. S. hospitals. DATA SOURCES AND STUDY SETTING: Primary data were collected from 61 U. S. hospitals (located primarily in the midwest and the west) on measures related to continuous quality improvement/total quality management (CQI/TQM), organizational culture, implementation approaches, and degree of quality improvement implementation based on the Baldrige Award criteria. These data were combined with independently collected data on perceived impact and objective measures of clinical efficiency (i.e., charges and length of stay) for six clinical conditions. STUDY DESIGN: The study involved cross-sectional examination of the named relationships. DATA COLLECTION/EXTRACTION METHODS: Reliable and valid scales for the organizational culture and quality improvement implementation measures were developed based on responses from over 7,000 individuals across the 61 hospitals with an overall completion rate of 72 percent. Independent data on perceived impact were collected from a national survey and independent data on clinical efficiency from a companion study of managed care. PRINCIPAL FINDINGS: A participative, flexible, risk-taking organizational culture was significantly related to quality improvement implementation. Quality improvement implementation, in turn, was positively associated with greater perceived patient outcomes and human resource development. Larger-size hospitals experienced lower clinical efficiency with regard to higher charges and higher length of stay, due in part to having more bureaucratic and hierarchical cultures that serve as a barrier to quality improvement implementation. CONCLUSIONS: What really matters is whether or not a hospital has a culture that supports quality improvement work and an approach that encourages flexible implementation. Larger-size hospitals face more difficult challenges in this regard.
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A significant portion of health care resources are spent in intensive care units with, historically, up to two-fold variation in risk-adjusted mortality. Technological, demographic, and social forces are likely to lead to an increased volume of intensive care in the future. Thus, it is important to identify ways of more efficiently managing intensive care units and reducing the variation in patient outcomes. Based on data collected from 17,440 patients across 42 ICUs, the present study examines the factors associated with risk-adjusted mortality, risk-adjusted average length of stay, nurse turnover, evaluated technical quality of care, and evaluated ability to meet family member needs. Using the Apache III methodology for risk-adjustment, findings reveal that: 1) technological availability is significantly associated with lower risk-adjusted mortality (beta = -.42); 2) diagnostic diversity is significantly associated with greater risk-adjusted mortality (beta = .46); and 3) caregiver interaction comprising the culture, leadership, coordination, communication, and conflict management abilities of the unit is significantly associated with lower risk-adjusted length of stay (beta = .34), lower nurse turnover (beta = -.36), higher evaluated technical quality of care (beta = .81), and greater evaluated ability to meet family member needs (beta = .74). Furthermore, units with greater technological availability are significantly more likely to be associated with hospitals that are more profitable, involved in teaching activities, and have unit leaders actively participating in hospital-wide quality improvement activities. The findings hold a number of important managerial and policy implications regarding technological adoption, specialization, and the quality of interaction among ICU team members. They suggest intervention "leverage points" for care givers, managers, and external policy makers in efforts to continuously improve the outcomes of intensive care.
In response to managed care pressures and imminent legislative reforms, provider organizations across the United States are coming together to form organized or integrated delivery systems. This paper describes various approaches to developing such systems and, drawing on ongoing research, examines what is known about the performance of such systems, the barriers they face, and the key factors likely to be associated with their success. The paper also addresses important policy questions related to the extent to which organized delivery systems should be actively encouraged by health reform legislation and how such systems should be held accountable.
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Organized vertically integrated health systems are in a key position to play a major role in present health care reform efforts. To demonstrate a competitive advantage in the new health care environment, however, integration efforts must be successful. Based on a national study of nine organized delivery systems, this article develops measures of three types of integration that occur in vertically integrated health systems--functional, physician-system, and clinical. These measures can be used as a "scorecard" to assess progress toward achieving integration objectives.
OBJECTIVE: To examine structural and organizational characteristics at two ICUs with marked differences in risk-adjusted survival. METHODS: We performed on-site organizational analysis in two ICUs at two major teaching hospitals. Our main outcome measures were interviews and direct observations by a team of clinical and organizational researchers; demographic, clinical, and survival data for 888 ICU admissions; and questionnaire responses from 70 nurses and 42 physicians on ICU structure and organization. ICU performance was measured using risk-adjusted survival and the ratios of actual to predicted ICU length of stay and resource use. RESULTS: Structural and organizational questionnaires, self-evaluation by staff members, and the research team's implicit judgments following detailed on-site analysis failed to distinguish units with higher and lower risk-adjusted survival. Both units exhibited practices to emulate and practices to avoid. CONCLUSIONS: The methods used in this study can identify organizational problems and potential means for improvement. The best practices and suggestions for improvement at these units provide examples of methods for improving ICU management.
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OBJECTIVE: To examine variations in case-mix, structure, resource use, and outcome performance among teaching and nonteaching intensive care units (ICU). DESIGN: Prospective inception cohort study. PATIENTS: A consecutive sample of 15,297 patients at 35 hospitals, which compared 8,269 patients admitted to 20 teaching ICUs at 18 hospitals vs. 7,028 patients admitted to 17 non-teaching ICUs at 17 hospitals. INTERVENTIONS: None. MEASUREMENTS: We selected demographic, physiologic, and treatment information for an average of 415 patients at each ICU, and collected data on hospital and ICU structure. Outcomes were compared using ratios of observed to risk-adjusted predicted hospital death rates, ICU length of stay, and resource use. MAIN RESULTS: When compared to nonteaching ICUs, teaching ICUs had twice the number of physicians who regularly provided services and cared for significantly younger and more severely ill (p < .001) patients. Risk-adjusted ICU length of stay was similar, but resource use was significantly (p < .001) greater in teaching ICUs, with $3,000 (10.5%) of estimated total costs for an average ICU admission related to increased use of diagnostic testing and invasive procedures in teaching ICUs. Risk-adjusted hospital death rates were not significantly different (p = .1) between all teaching and nonteaching ICUs, but were significantly (p < .05) better in four teaching ICUs, but in only one nonteaching ICU. The 14 hospitals that were members of the Council of Teaching Hospitals had significantly better risk-adjusted outcome in their 16 ICUs than all others (odds ratio = 1.21, confidence interval 1.06 to 1.38, p = .004). CONCLUSIONS: Teaching ICUs care for more complex patients in a substantially more complicated organizational setting. The best risk-adjusted survival rates occur at teaching ICUs, but production cost is higher in teaching units, secondary to increased testing and therapy. Teaching ICUs are also successfully transferring knowledge to trainees who, after their training, are achieving equivalent results at slightly lower cost in nonteaching ICUs.