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Effects of characteristics of the survey instrument on response rates to a mail survey of community hospitals.

A 4-factor, 16-cell experimental design was used to investigate the relationship between response rates of community hospitals to a survey conducted by the American Hospital Association (AHA) and 4 characteristics of the survey instrument, each varied dichotomously: the perceived length of the questionnaire, the order of questions, the orientation of the appeal made in the cover letter, and the presence or absence of a promise to share the results of the study with respondents. Response rate variations between the various cells were examined and multiple logistic regression was used to analyze the significance of the association between response rates and each of the four survey instrument variables while controlling for the effect of the others. At the same time, control was also maintained for the effects of five institutional characteristics of hospitals which a previous study had shown to have a significant relationship to response: bed size, location within or outside a standard metropolitan statistical area, AHA membership status, type of ownership, and form of control. The perceived length of the questionnaire and the order of questions were found to have a significant effect on response rates, but the orientation of the cover letter and a promise to share the results of the study with the respondents were found to be insignificant.

American Hospital Association↗

A study of the workforce in emergency medicine.

STUDY OBJECTIVE: Emergency medicine has progressed significantly since its initial recognition as a medical specialty. Relatively little factual information is known, however, regarding who or how many physicians practice emergency medicine. The purpose of this study is to determine the total number of physicians practicing clinical emergency medicine during a specified period, to describe certain characteristics of those individuals, and to estimate the total number of full-time equivalents (FTEs), as well as the total number of individuals needed to staff those FTEs. METHODS: Data were gathered from a survey of a random sample of 2,062 hospitals drawn from a population of 5,220 hospitals reported by the American Hospital Association as having, or potentially having, an emergency department. The survey instrument addressed items such as descriptive data on the institution, enumeration of physicians in the ED, as well as the total number working during the period June 1, 1997, through June 14, 1997. Demographic data on the individuals were also collected. RESULTS: A total of 942 hospitals responded (a 45.7% return rate). These hospitals reported a total of 5,872 physicians were working during the specified period, or an average of 7.48 persons scheduled per institution. The physicians were scheduled for a total of 297,062 hours. The average standard for FTE was 40 clinical hours per week. This equates to 3,713 FTEs or 4.96 FTEs per institution. The ratio of persons to FTEs was 1.51:1. With regard to demographics, 83% of the physicians were men and 81% were white. Their average age was 42 years. As to professional credentials, 58% were emergency medicine-residency trained and 53% were board certified in emergency medicine; 46% were certified by the American Board of Emergency Medicine. CONCLUSION: Given that there are 4,945 hospitals with EDs and given that the data indicate there are 4.96 FTEs per ED, the total number of FTEs is projected to be 24,548 (standard error = 437). Given further that the data indicate a physician/FTE ratio of 1.51:1, we conclude that there are 36,990 persons (standard error = 683) needed to staff those FTEs. When adjusted for persons working at more than one ED, that number is reduced to 32,026.

Adult↗

A study of the workforce in emergency medicine: 1999.

STUDY OBJECTIVE: We estimate the total number of physicians practicing clinical emergency medicine during a specified period, describe certain characteristics of those individuals to estimate the total number of full-time equivalents (FTEs) and the total number of individuals needed to staff those FTEs, and compare the data collected with those data collected in 1997. METHODS: Data were gathered from a survey of a random sample of 2,153 hospitals drawn from a population of 5,329 hospitals reported by the American Hospital Association as having, or potentially having, an emergency department. The survey instrument addressed items such as descriptive data on the institution, enumeration of physicians in the ED, and the total number of physicians working during the period from June 6 to June 9, 1999. Demographic data on the individuals were also collected. RESULTS: A total of 940 hospitals responded (a 44% return rate). These hospitals reported that a total of 6,719 physicians were working during the specified period, or an average of 7.85 persons scheduled per institution. The physicians were scheduled for a total of 347,702 hours. The average standard for FTE was 40 clinical hours per week. This equates to 4,346 FTEs or 5.29 FTEs per institution. The ratio of persons to FTEs was 1.48:1. With regard to demographics, 83% of the physicians were men, and 82% were white. Their average age was 42.6 years. As for professional credentials, 42% were emergency medicine residency trained, and 58% were board certified in emergency medicine; 50% were certified by the American Board of Emergency Medicine. CONCLUSION: Given that there are 5,064 hospitals with EDs and given that the data indicate that there are 5.35 FTEs per ED, the total number of FTEs is projected to be 27,067 (SE=500). Given further that the data indicate a physician/FTE ratio of 1.47:1, we conclude that there are 39,746 persons (SE=806) needed to staff those FTEs. When adjusted for persons working at more than one ED, that number is reduced to 31,797. When the 1999 data are compared with those collected in 1997, we note a statistically significant decline in the number of hospital EDs, from 5,126 in 1997 to 5,064 in 1999 (P =.02). The total number of emergency physicians remained the same over the 2-year period, whereas the number of FTEs per institution increased from 5.11 to 5.35. The physician/FTE ratio remained unchanged.

Adult↗

Hospital provision of end-of-life services: who, what, and where?

BACKGROUND: Availability of options other than aggressive medical treatment for persons with life-limiting illnesses has provided hospitals an opportunity to adopt formalized end-of-life care services. OBJECTIVE: To describe hospital ownership types that have adopted formalized end-of-life services (who), the scope of end-of-life services offered (what), and the geographic location of service provision (where). RESEARCH DESIGN: Nationally representative cross-sectional data for 3,939 hospitals (80% of respondent hospitals) obtained from the American Hospital Association Annual Survey of Hospitals was used for the year 1998. MEASURES: A scale was developed to measure hospital provision of general end-of-life, pain management, or hospice services. A multivariate ordinary least-squares regression model was used to test the association of ownership as a predictor of end-of-life service provision, while controlling for internal (organizational) and external (market location and size) characteristics. RESULTS: Independent correlates of the number of end-of-life services provided include Catholic ownership, teaching status, number of staffed beds, and being located in a metropolitan statistical area or in New England. Forty-four percent of the sampled US hospitals provide none of the three end-of-life services included in this study. Another one third of hospitals provide only one of the three services. CONCLUSIONS: Given the attention paid by both the general public and health professionals to pain relief and providing appropriate care to dying persons, such services are slow to be institutionalized in the hospital setting. The authors' findings suggest strategies for research and policy.

American Hospital Association↗

Financial performance of safety-net hospitals in a changing health care environment.

Safety-net hospitals serving the poor and indigent in inner-cities have received inadequate research attention regarding the determinants of their financial performance in the changing health care environment. We analyze how the 1990-92 financial performance of 275 such hospitals is related to exogenous and endogenous factors such as payer mix, service mix, staffing and ownership. Models of hospital financial performance are developed using operating margin, cost per discharge and revenue per discharge as measures of performance. Stepwise regression is used to test the model with data from the American Hospital Association (AHA) and Health Care Investment Analysts (HCIA). Results suggest that: 1) The profitability of inner-city hospitals appears positively related with technical complexity of care; 2) High interest and low operating surplus may constrain the addition of technically sophisticated services to enhance profitability; 3) There is some evidence that new governmental programs, e.g. Medicaid managed care and Medicaid Diagnosis Related Groups (DRGs), may not have improved operating margins, though Medicaid DRGs appear to have contained costs. Follow-up research is needed on this issue; 4) Given external fiscal realities, internal management strategies for inner-city hospitals require research, e.g. developing appropriate managed care systems and timely expansion of sub-acute services and; 5) Services such as AIDS treatment and community health education represent opportunities to respond to community needs, especially since unit cost of such services will decline with high volume.

American Hospital Association↗

Outpatient surgical utilization in Veterans Affairs hospitals, 1981-1989.

In the 1980s, there was a large increase in the percentage of surgical operations performed in the United States without an overnight hospital admission. This shift may have been related to changes in reimbursement for outpatient surgery; studies of this relationship have had conflicting results. The Department of Veterans Affairs (VA) has a budgeting strategy significantly different from reimbursement strategies used by nonfederal hospitals. The VA strategy underwent changes in terms of budgeting for outpatient surgery in the 1980s. Data from the American Hospital Association (AHA) Annual Survey of Hospitals collected during the years 1981 through 1989 inclusive were analyzed in an effort to examine VA outpatient surgical utilization and to compare changes in VA outpatient surgical utilization with changes in outpatient surgical utilization in the nonfederal sector. The VA had an apparent rapid expansion of outpatient surgical utilization in the mid-1980s compared with the nonfederal sector. This increase occurred without a concomitant decrease in inpatient surgical procedures. This apparent rapid expansion may represent a combination of real changes in surgical utilization, changes in utilization of services not traditionally thought to be surgical but counted as such by VA hospitals, and changes in VA record-keeping. All of the components of this expansion may have been accelerated by the implementation of the VA Resource Allocation Methodology in 1985 and 1986.

Ambulatory Surgical Procedures↗

Is provider capitation working? Effects on physician-hospital integration and costs of care.

BACKGROUND: Capitation holds health providers fiscally responsible for the services they deliver or arrange and thus provides strong motivation for physicians and hospitals to integrate activities and reduce costs of care. OBJECTIVES: The objective of this study was to assess 2 potential effects of capitation: (1) its effects on the integration of functional, financial, and clinical processes between hospitals and physicians and (2) its effects, in conjunction with process integration, on hospital costs. STUDY DESIGN: We studied a 1995 American Hospital Association (AHA) special survey that has information on 44 different physician-hospital integrative activities and on global capitation contracts held by management service organizations, physician-hospital organizations, and other similar entities. These data were combined with the AHA's Annual Survey of Hospitals, InterStudy HMO data, the area resource file, and state regulation data. Multivariate analysis was used to assess the relationship between capitation and integration and then to examine the influence of these factors and others on hospital costs. We studied 319 urban hospitals with complete data. FINDINGS: Provider capitation was found to promote integration between hospitals and physicians in relation to administrative/practice management, physician financial risk sharing, joint ventures to create new services, computer linkages, and an overall measure of physician-hospital integration. However, anticipated effects of integration and capitation on hospital costs were not evident. CONCLUSIONS: Global capitation is motivating tighter integration between physicians and hospitals in a number of respects. Although capitation is currently having the intermediate effect of encouraging process integration, it is not yet having the ultimate anticipated effect of lowering hospital costs.

American Hospital Association↗

Tailor resources to community's health agenda. Interview by Frank Sabatino.

D. Kirk Oglesby, Jr., president of Anderson (SC) Memorial Hospital, is the new chairman-elect designate of the American Hospital Association. Oglesby says that a number of key policy issues will be discussed during his tenure, but one of the most important will be determining the appropriate way to be a key player in reshaping the country's health care delivery system. The role of the community hospital is also of interest to Oglesby. He sees these institutions as vital players in providing the total health care agenda for the people they serve. This will take commitment, he says, as well as a forward-looking and flexible attitude that allows hospitals to modify services as the community dictates. Oglesby currently serves as an AHA commissioner on the Committee of Commissioners to the Joint Commission on the Accreditation of Healthcare Organizations (JCAHO) at a time when this organization has come under considerable criticism from the hospital field. As part of his interview with Hospitals, he was asked how responsive he feels the JCAHO has been to concerns from the field and his vision of the importance of the JCAHO to the future of health care.

American Hospital Association↗

Community orientation in hospitals: an institutional and resource dependence perspective.

OBJECTIVE: To conceptualize community orientation-defined as the generation, dissemination, and use of community health-need intelligence-as a strategic response to environmental pressures, and to test a theoretically justified model of the predictors of community orientation in hospitals. DATA SOURCES: The analysis used data for 4,578 hospitals obtained from the 1994 and 1995 American Hospital Association (AHA) Annual Survey and the 1994 Medicare Hospital Cost Report data sets. Market-level data came from the Area Resource File. STUDY DESIGN: Multiple regression analysis was used to examine the effects of hospital size, dependence on managed care, ownership, network, system and alliance memberships, and level of diffusion of community-orientation practices in the area on the degree of community orientation in hospitals. The model, based on Oliver's (1991) framework of organizational responsiveness to environmental pressures, controlled for the effects of industry concentration and lagged profitability. PRINCIPAL FINDINGS: Degree of community orientation is significantly related to hospital size; ownership; dependence on managed care; and membership in a network, system, or alliance. It is also significantly related to the diffusion of community-orientation practices among other area hospitals. CONCLUSIONS: Degree of community orientation is influenced by the nature of environmental pressures and by hospital interests. It is higher in hospitals that are large, nonprofit, or members of a network, system, or alliance; in hospitals that are more dependent on managed care; and in hospitals that operate in areas with higher diffusion of community-orientation activities.

American Hospital Association↗

Characteristics of hospitals providing preventive services: does delivery system integration make a difference?

OBJECTIVE: As health care organizations consolidate into integrated delivery systems, increased delivery of preventive services is expected. The study objective was to evaluate the impact of hospitals' participation in multiorganizational arrangements and managed care on their delivery of preventive services. METHOD: The study is a secondary data analysis of data in the American Hospital Association 1993 Annual Survey of Hospitals Data Base. Two primary prevention variables (health promotion services to patients and to community members), and one secondary prevention variable (screening mammography) were included. Hospital characteristics included ownership, bed-size, and integration-participation in a multiorganizational arrangement and having managed care (HMO and PPO) contracts. RESULT: The 5,387 general medical and surgical hospitals responding to the 1993 survey were included in the analysis. Proportions of hospitals reporting delivery of health promotion services to patients, and to community members, and screening mammography services were respectively 90%, 83%, and 88%. Hospitals reporting participation in multiorganizational arrangements were more likely to report delivery of preventive services after adjusting for bed-size. The bed-adjusted odds ratios for providing health promotion services to inpatients, and to members of the community, and screening mammography services in hospitals with managed care contracts versus those without managed care contracts were respectively: 2.72 (95% CI: 1.65, 2.50), 2.03 (1.63, 2.53), and 1.51 (1.26, 1.81). CONCLUSION: Preliminary findings from this secondary data analysis support the expectation that current changes in the health care delivery system may expand the delivery of preventive services.

Accreditation↗

Reexamining organizational configurations: an update, validation, and expansion of the taxonomy of health networks and systems.

OBJECTIVES: To (a) assess how the original cluster categories of hospital-led health networks and systems have changed over time; (b) identify any new patterns of cluster configurations; and (c) demonstrate how additional data can be used to refine and enhance the taxonomy measures. DATA SOURCES; 1994 and 1998 American Hospital Association (AHA) Annual Survey of Hospitals. STUDY DESIGN: As in the original taxonomy, separate cluster solutions are identified for health networks and health systems by applying three strategic/structural dimensions (differentiation, integration, and centralization) to three components of the health service/product continuum (hospital services, physician arrangements, and provider-based insurance activities). DATA EXTRACTION METHODS: Factor, cluster, and discriminant analyses are used to analyze the 1998 data. Descriptive and comparative methods are used to analyze the updated 1998 taxonomy relative to the original 1994 version. PRINCIPAL FINDINGS: The 1998 cluster categories are similar to the original taxonomy, however, they reveal some new organizational configurations. For the health networks, centralization of product/service lines is occurring more selectively than in the past. For the health systems, participation has grown in and dispersed across a more diverse set of decentralized organizational forms. For both networks and systems, the definition of centralization has changed over time. CONCLUSIONS: In its updated form, the taxonomy continues to provide policymakers and practitioners with a descriptive and contextual framework against which to assess organizational programs and policies. There is a need to continue to revisit the taxonomy from time to time because of the persistent evolution of the U.S. health care industry and the consequent shifting of organizational configurations in this arena. There is also value in continuing to move the taxonomy in the direction of refinement/expansion as new opportunities become available.

American Hospital Association↗

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.

American Hospital Association↗

Measuring efficiency in acute care hospitals: an application of data envelopment analysis.

In this article, the authors attempted to demonstrate how DEA can be useful to hospital administrators and health care planners. They used actual data collected by the American Hospital Association through its Monitrend Data Service. Since these were national data, they are presented here for illustrative purposes only. The efficiency with which a hospital operates may well depend upon the local or regional labor market, the competition among health care providers in that market, and the demographics of the service area. The choice of variables was dictated by reasonableness and availability of data. Given the routine collection of case mix data by DRG since 1984, the use of a different set of output variables for any future studies would be quite appropriate. Additionally, if DEA were to be used, a consensus concerning relevant controllable and non-controllable input variables would need to be achieved. There are more technical caveats of which the reader should be aware. 1) The efficiency scores are all relative and are based on the performance of the other hospitals being compared; nothing can be said about the absolute efficiency of a given hospital. However, the relative ratings are conservative in that the approach "bends over backwards" to give the individual hospital the benefit of the doubt in terms of the relative importance of the various outputs and inputs utilized. The approach maintains equity in that any weights chosen for a given hospital must be feasible for all of the other hospitals. 2. The ratings assume a causal impact of the inputs on the outputs. In addition, it is possible that inclusion of additional inputs and outputs could modify the relative scores and/or help explain the differences. However, based on the factors available, any unit rated inefficient is inferior in a very real and demonstrable sense. 3. DEA is based on the generalized notion of convexity which assumes that the performance arrived at by taking any linear weighted combination of other hospitals' inputs and outputs represents a feasible and achievable technology. The general frontier surface is approximated by piecewise-linear segments with the result that observed differences in efficiency cannot be explained away as differences in economies of scale. 4. The inefficiency score and the resource conservation potentials are based on a unit's so-called contraction path, i.e., all of the controllable inputs are required to be reduced by the same factor.(ABSTRACT TRUNCATED AT 400 WORDS)

American Hospital Association↗

Descriptive analysis of critical care units in the United States.

OBJECTIVE: To gather data about available technology, staffing, administrative policies, and bed capacities of ICUs in the United States. DESIGN AND SETTING: On January 15, 1991, survey instruments were mailed to the administrators of 4,233 hospitals to gather information from the medical director of the institutions' respective ICUs for the purpose of developing a database on ICUs in the United States. The sampling frame for this study was based on all American Hospital Association (AHA) hospitals that stated they have ICUs. MEASUREMENTS: Census questionnaires solicited information on types of hospitals, types of ICUs, number of ICU beds open and closed, technology available to the unit, organizational structure and management of the ICU, as well as the staffing and certification of unit personnel. MAIN RESULTS: Data were obtained on 32,850 ICU beds with 25,871 patients from 2,876 separate ICUs in 1,706 hospitals in the United States. Census responses came from units in all sizes of hospitals within all ten census regions in the country, all states, and all types of hospital sponsorship (federal, state, and local government, private nonprofit and private for profit). The census response rate was 40% of the AHA hospitals that stated that they have ICUs, with specific ICU data on 38.7% of the nation's ICUs. The number of ICUs per hospital increases with overall hospital size. The smallest hospitals (less than 100 beds) usually had only one ICU. As hospital size increased, the single, all inclusive medical/surgical/coronary care units diminished, and in hospitals with greater than 300 beds, specialization of units became prevalent. In absolute terms, hospitals had the following number of ICUs: 1.04 +/- 0.20 (less than or equal to 100 beds); 1.30 +/- 0.65 (101 to 300 beds); 2.37 +/- 1.58 (301 to 500 beds); and 3.34 +/- 2.21 (greater than 500 beds). ICU beds averaged, nationally, 8.09% of hospital-licensed beds with a median of 6.98%. Generally, medical units, pediatric units, coronary care units (CCUs), and medical/surgical/CCUs reported an average of 10 beds per unit. Neonatal units averaged 21 beds, and surgical units averaged 12 beds. The average ICU size, nationally, was 11.7 +/- 7.8 beds per unit. Available technology within hospitals and individual units was increased as hospital size increased; surgical units tended to have more available technology than other unit types. A wide range of organizational arrangements within hospitals determines where the ICU appears in an organizational chart and to whom unit management is accountable. Thirty-six percent of the units were located organizationally within the hospital's department of medicine, while 23% were considered "free standing," having no departmental affiliation. Although units must have a medical director, the perception as to whether this director supervises the day-to-day operation was different in larger vs. smaller hospitals. In hospitals with less than or equal to 100 beds, 72% of the units were perceived to be supervised by the medical director, whereas in larger hospitals (greater than 500 beds), 81% of units were supervised. Study results indicated that medical directors in pediatric, neonatal, and burn units most often were perceived to supervise the unit. Presently, 63% of all ICUs responding are directed by an internist. The next largest group to direct ICUs were surgeons, followed by pediatricians. Pediatrician involvement tended to be exclusive in pediatric and neonatal units. Surgeons directed most surgical and neurologic units and were involved in 21% of mixed medical/surgical units. Internists predominated in medical units and in CCUs, as well as in combined medical/surgical/CCUs. Direction by anesthesiologists, although relatively infrequent, predominated in the surgical unit. Critical care medicine certification of the medical director and attending staff of the ICU increased as hospital size increased, although only 44% of all units stated that thei

Allied Health Personnel↗