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Biomedical subjects

R A Hayward

Publications and source records attributed to R A Hayward.

At least 37 records · Page 2Linked to original sources

Initial emergency department diagnosis and return visits: risk versus perception.

STUDY OBJECTIVES: To identify diagnostic predictors of return emergency department visits, and to compare actual and perceived associations between initial ED diagnosis and revisits to help identify target diagnoses for prevention strategies. METHODS: This 2-part study involved a retrospective observational study and a health professional survey. The study population consisted of all patients with 2 or more visits to the University of Michigan ED within a 3-day period between July 1995 and June 1996 ("early-return visitors"). Billing records identified the initial diagnoses of subsequent return visitors. The prevalence of each initial diagnosis was determined in the general ED population (n=52,553), early-return population (n=1,422), and early-return population admitted to the hospital ("return-admit," n=313). Surveys were distributed to all ED health professionals to assess their perception of the diagnoses most likely to return within 3 days. Relative risk (RR) ratios and 95% confidence intervals (CIs) were calculated. RESULTS: Dehydration was the most common diagnosis in the general, early-return, and return-admit populations (prevalence: 7%, 15%, 25%, respectively). Dehydration was also the diagnosis with the highest risk for both early return and subsequent admission on early return (RR [95% CI]: 2.3 [2.0-2.6], 1.8 [1.5-2.3], respectively). Nearly two thirds of health professionals, however, did not identify dehydration as a diagnosis at high risk for return, and almost half did not consider dehydration a high risk for admission. CONCLUSION: Initial ED diagnosis may be a useful predictor of early ED return and admission. Patients with an initial diagnosis of dehydration are at particularly high risk for early return and admission, yet providers underestimate the risk in this very common group. Screening a return ED population for high-frequency diagnoses may reveal underrecognized target groups for specific prevention strategies.

Adolescent↗

Reliability and validity testing of the Michigan Hand Outcomes Questionnaire.

In this study, psychometric principles were used to develop an outcomes questionnaire capable of measuring health state domains important to patients with hand disorders. These domains were hypothesized to include (1) overall hand function, (2) activities of daily living (ADL), (3) pain, (4) work performance, (5) aesthetics, and (6) patient satisfaction with hand function. An initial pool of 100 questions was pilot-tested for clarity in 20 patients; following factor analysis, the number of questions was reduced to a 37-item Michigan Hand Outcomes Questionnaire (MHQ). The MHQ, along with the Short Form-12, a generic health status outcomes questionnaire, was then administered to 200 consecutive patients at a university-based hand surgery clinic and was subjected to reliability and validity testing. The mean time required to complete the questionnaire was 10 minutes (range, 7-20 minutes). Factor analysis supported the 6 hypothesized scales. Test-retest reliability using Spearman's correlation demonstrated substantial agreement, ranging from 0.81 for the aesthetics scale to 0.97 for the ADL scale. In testing for internal consistency, Cronbach's alphas ranged from 0.86 for the pain scale to 0.97 for the ADL scale (values >0.7 for Cronbach's alpha are considered a good internal consistency). Correlation between scales gave evidence of construct validity. In comparing similar scales in the MHQ and the Short Form-12, a moderate correlation (range, 0.54-0.79) for the ADL, work performance, and pain scales was found. In evaluating the discriminate validity of the aesthetics scale, a significant difference (p = .0012) was found between the aesthetics scores for patients with carpal tunnel syndrome and patients with rheumatoid arthritis. The MHQ is a reliable and valid instrument for measuring hand outcomes. It can be used in a clinic setting with minimal burden to patients. The questions in the MHQ have undergone rigorous psychometric testing, and the MHQ is a promising instrument for evaluation of outcomes following hand surgery.

Factor Analysis, Statistical↗

Type II (beta) errors in the hand literature: the importance of power.

When a study concludes that there is no difference between 2 treatments ("negative studies"), it is essential to determine whether the study has sufficient power to find a clinically significant difference. Insufficient power precludes an adequate assessment of therapeutic efficacy and may result in a type II error, an erroneous conclusion that the null hypothesis is correct. In evaluating 39 studies that highlighted negative findings in The Journal of Hand Surgery, we found that 32 (82%) papers had a power of less than .80 to detect a 25% treatment effect and, when the treatment effect was increased to 50%, more than one half of the studies still had a power of 0.80. These "negative studies" frequently have inadequate statistical power to support their conclusions. These findings have important implications for researchers, editors, and readers.

Animals↗

Patients' desires and expectations for medical care in primary care clinics.

To explore whether patients' desires for and expectations of medical care differ between the United States and Canada, we surveyed 652 patients and 105 physicians at primary care sites in Michigan and Ontario. Patient desires were similar at both sites, but expectations were higher in Michigan. Michigan physicians gave higher estimates of patient desire than physicians in Ontario. Physicians at both sites, however, similarly underestimated patients' desires. These between-site differences in expectation may reflect differences both in general cultural factors and in patient exposure to different clinical policies within the medical systems.

Diagnostic Tests, Routine↗

Starting insulin therapy in patients with type 2 diabetes: effectiveness, complications, and resource utilization.

CONTEXT: Although experimental studies show that insulin therapy can be safe and efficacious in improving glycemic control in type 2 diabetes under optimal conditions (ie, using patient volunteers with close monitoring under strict study protocols), little is known about its effectiveness, complication rates, and associated resource utilization in actual clinical practice. DESIGN: Cohort study. SETTING: Large staff-model health maintenance organization. PARTICIPANTS: A total of 8668 patients with type 2 diabetes cared for by generalist physicians from 1990 through 1993. OUTCOME MEASURES: Resource use (hospitalizations, outpatient visits, laboratory testing, and home glucose monitoring) and glycemic control were evaluated using combined clinical, survey, and administrative information systems data. Detailed clinical case-mix data, including a newly validated case-mix method, the Total Illness Burden Index, were collected on a subsample of 1738 patients. RESULTS: Among patients starting insulin therapy, hemoglobin A1c (HbA1c) decreased by 0.9 percentage point (95% confidence interval, 0.7-1.0) at 1 year compared with those receiving stable medication regimens; however, 2 years after starting insulin therapy, 60% still had HbA1c levels of 8% or greater. There was no evidence that some primary care physicians achieved better results than other primary care physicians when starting insulin therapy in their patients. Patients with the poorest baseline glycemic control achieved substantially greater HbA1c reductions; those with a baseline HbA1c level of 13% had a 3-fold greater decline in HbA1c than those whose baseline HbA1c level was 9%. For a subset of all patients for whom detailed clinical case-mix data were obtained, those taking insulin had higher resource use than those taking sulfonylureas, independent of illness severity. After adjusting for age, sex, race, socioeconomic status, disease duration, and severity of diabetes and comorbidities, insulin users had slightly more laboratory tests performed, 2.4 more outpatient visits per year, and almost 300 more fingersticks for home glucose testing per year compared with sulfonylurea users (all P<.01). Although 15% of patients receiving insulin therapy reported weekly symptoms of hypoglycemia, insulin therapy was not associated with an increase in emergency department visits (after case-mix adjustment) and resulted in only 0.5 hypoglycemia-related hospitalizations per 100 patient-years. CONCLUSIONS: For patients with type 2 diabetes who were cared for by generalist physicians, starting insulin therapy was generally safe and effective in achieving moderate glycemic control in patients who initially had poor glycemic control. However, insulin therapy was associated with increases in resource use and was rarely effective in achieving tight glycemic control, even for those with moderate control.

Adult↗

Estimated benefits of glycemic control in microvascular complications in type 2 diabetes.

BACKGROUND: The benefits of intensive glycemic control in patients with type 2 diabetes are not well quantified. It is therefore not clear which patients will benefit most from aggressive glycemic control. OBJECTIVE: To evaluate the efficacy of glycemic control in type 2 diabetes. DESIGN: Markov decision model. PATIENTS: Diabetic patients at a health maintenance organization. MAIN OUTCOME MEASURES: Risks for developing blindness and end-stage renal disease; number of patients and patient-years needed to treat to prevent complications. RESULTS: For a patient in whom diabetes developed before 50 years of age, reducing hemoglobin A1c levels from 9% to 7% results in an estimated 2.3-percentage point decrease (from 2.6% to 0.3%) in lifetime risk for blindness due to retinopathy. The same change in a patient with diabetes onset at 65 years of age would be expected to decrease the risk for blindness by 0.5 percentage points (from 0.5% to < 0.1%). However, the Markov model predicts substantially greater benefit when moving from poor to moderate glycemic control than when moving from moderate to almost-normal glycemic control. Targeting less than 20% of the patients at one health maintenance organization for intensified therapy may prevent more than 80% of the preventable patient-time spent blind. The risks for end-stage renal disease and the risk reduction provided by improved glycemic control are lower than those for blindness. CONCLUSIONS: This probability model, based on extrapolation from the experience with type 1 diabetes, suggests that patients with early onset of type 2 diabetes will accrue substantial benefit from almost-normal glycemic control. In patients with later onset, moderate glycemic control prevents most end-stage complications caused by microvascular disease. These results have important implications for informing patients and allocating health care resources.

Adult↗

Validating quality indicators for hospital care.

BACKGROUND: Many of the indicators used to monitor the quality of hospital care are resource intensive and ineffective. Furthermore, current efforts to develop new indicators for report cards are generally directed at the evaluation of health plans and are not constructed to help providers (physician groups, hospitals, and health plans that contract to provide care to patients) find and fix problems with the quality of care at their organizations. FOUR QUESTIONS: Before using an indicator, four questions should be posed: (1) When cases identified by the indicator are examined, can one find a set of definable and preventable processes of care known to lead to a bad outcome? (2) Can a review instrument be created that will allow providers to identify which process problems are present? (3) Are there substantially more process problems in those cases identified by the indicator than in those cases not identified by the indicator, and can the sensitivity and specificity of the indicator be defined? and (4) Is the indicator primarily useful for quality improvement efforts by a provider, or is it also useful as an external measure of quality across providers? A FOUR-STEP FRAMEWORK: Four corresponding steps comprise an efficient validation method to produce indicators that detect deficiencies in an important process-outcome continuum, help produce the tools to find the deficiencies, document the efficiency of using the indicator to search for process problems, and define the appropriate use of the indicator. Use of such validated indicators, and the information about their utility, would allow providers to optimize the impact of money spent on quality improvement efforts.

Hospital Administration↗

Comparing the hospitalizations of transfer and non-transfer patients in an academic medical center.

BACKGROUND: By accepting and caring for patients transferred from other institutions, academic medical centers have been able to develop comprehensive training and research programs. Whether academic institutions can continue to do this in the future is questionable. To the extent that transfer patients are more complex and severely ill than non-transfer patients, they are likely to consume more resources, and in managed care payment systems, they could place accepting hospitals in financial jeopardy. METHOD: Between July 1989 and December 1993, the internal medicine, surgery, and pediatrics services of the 880-bed University Hospital of the University of Michigan accepted 8,740 patients from other hospitals. The hospitalizations of these patients were compared with those of the 76,047 non-transfer patients on these services. The statistical methods used were Student's t-test, chi-square, Cochran-Mantel-Haenszel chi-square, and analysis of variance. RESULTS: The hospitalizations of the transfer patients were more complex and resource-use intensive. The transfer patients were more likely (p<.0000) to be length-of-stay outliers as defined by Medicare standards (28% vs 10%) and to suffer in-hospital death (9.4% vs 2.5%). After case-mix adjustment and exclusion of length-of-stay outliers, transfer patients on the three services (surgery, medicine, and pediatrics) remained in the hospital 1.62, 1.15, and 0.84 days longer (p<.0001) than non-transfer patients. Ancillary-service resource use was assessed using a relative-value-unit (RVU) scale based on direct-cost dollars. The transfer patients' case-mix-adjusted resource use exceeded that of the non-transfer patients by 1,155,850 and 957 RVUs for surgery, pediatrics, and medicine (p<.0001). Although the transfer patients were more likely to have Medicaid insurance, the differences in lengths of stay and use of ancillary services persisted throughout all insurance groups. Indeed, transfer status, compared with age, sex, and insurance status, was the best predictor of high resource use. CONCLUSION: The transfer patients stayed longer and consumed more hospital resources than did the non-transfer patients. Age, sex, case-mix, and insurance status did not account for these differences. To limit the financial liability that transfer patients pose, academic medical centers could be forced to abandon their traditional role of caring for such patients. The consequences of this possibility should be explored.

Academic Medical Centers↗

Identifying poor-quality hospitals. Can hospital mortality rates detect quality problems for medical diagnoses?

OBJECTIVES: Many groups involved in health care are very interested in using external quality indices, such as risk-adjusted mortality rates, to examine hospital quality. The authors evaluated the feasibility of using mortality rates for medical diagnoses to identify poor-quality hospitals. METHODS: The Monte Carlo simulation model was used to examine whether mortality rates could distinguish 172 average-quality hospitals from 19 poor-quality hospitals (5% versus 25% of deaths being preventable, respectively), using the largest diagnosis-related groups (DRGs) for cardiac, gastrointestinal, cerebrovascular, and pulmonary diseases as well as an aggregate of all medical DRGs. Discharge counts and observed death rates for all 191 Michigan hospitals were obtained from the Michigan Inpatient Database. Positive predictive value (PPV), sensitivity, and area under the receiver operating characteristic curve were calculated for mortality outlier status as an indicator of poor-quality hospitals. Sensitivity analysis was performed under varying assumptions about the time period of evaluation, quality differences between hospitals, and unmeasured variability in hospital casemix. RESULTS: For individual DRG groups, mortality rates were a poor measure of quality, even using the optimistic assumption of perfect casemix adjustment. For acute myocardial infarction, high mortality rate outlier status (using 2 years of data and a 0.05 probability cutoff) had a PPV of only 24%, thus, more than three fourths of those labeled poor-quality hospitals (high mortality rate outliers) actually would have average quality. If we aggregate all medical DRGs and continue to assume very large quality differences and perfect casemix adjustment, the sensitivity for detecting poor-quality hospitals is 35% and PPV is 52%. Even for this extreme case, the PPV is very sensitive to introduction of small amounts of unmeasured casemix differences between hospitals. CONCLUSION: Although they may be useful for some surgical diagnoses, DRG-specific hospital mortality rates probably cannot accurately detect poor-quality outliers for medical diagnoses. Even collapsing to all medical DRGs, hospital mortality rates seem unlikely to be accurate predictors of poor quality, and punitive measures based on high mortality rates frequently would penalize good or average hospitals.

Cerebrovascular Disorders↗

Measuring attending physician performance in a general medicine outpatient clinic.

OBJECTIVE: To determine which aspects of outpatient attending physician performance (e.g., clinical ability, teaching ability, interpersonal conduct) were measurable and separable by resident report. DESIGN: Self-administered evaluation form. SETTING: University internal medicine resident continuity clinic. PARTICIPANTS: All residents with their continuity clinic at the university hospital evaluated the two attendings who staffed their clinic for the academic years of 1990-1991, 1991-1992, and 1992-1993 (average of 85 total residents per year). The overall response rate was 74%. ANALYSIS: Exploratory analyses were conducted on a preliminary evaluation form in the first two years of the study (236 evaluations of 20 different clinic attendings) and confirmatory analyses using factor analysis and generalizability analysis were performed on the third year's data (142 evaluations of 15 different clinic attendings). Analysis of variance was used to evaluate factors associated with evaluation scores. RESULTS: Analyses demonstrated that the residents did not distinguish between the attendings' clinical and teaching abilities, resulting in a single four-item scale that was named the Clinical/Teaching Excellence Scale, measured on a five-point scale from poor to outstanding (Cronbach's alpha = 0.92). A large amount of the variance for this scale score was associated with attending identity (adjusted R2 = 46%). However, two alternative approaches to evaluating the performance of the attending (preference for him or her to the "average" attending and perceived impact of the attending on residents' clinical skills) did not provide useful information independent of the Clinical/Teaching Excellence Scale. The ratings of three separate conduct scales [availability in clinic (Availability Scale), treating residents and patients with respect (Respect Scale), and time efficiency in staffing cases (Slow Staffing Scale)] were separable from each other and from the rating of clinical/teaching excellence. For the Clinical/Teaching Excellent Scale, as few as four evaluations produced good interrater reliability and eight evaluations produced excellent reliability (reliability coefficients were 0.70 and 0.84, respectively). CONCLUSIONS: Although this evaluation instrument for measuring clinic attending performance must be considered preliminary, this study suggests that relatively few attending evaluations are required to reliably profile an individual attending's performance, that attending identity is associated with a large amount of the scale score variation, and that special issues of attending performance more relevant to the outpatient setting than the inpatient setting (availability in clinic and sensitivity to time efficiency) should be considered when evaluating clinic attending performance.

Analysis of Variance↗

Can early re-admission rates accurately detect poor-quality hospitals?

There is widespread interest in using external quality measures, such as early re-admission rates (ERRs), to evaluate hospital quality. To evaluate the feasibility of using ERRs to identify poor-quality hospitals, a Monte Carlo simulation model was developed that describes the predictive power of ERRs for the 190 hospitals in Michigan using different assumptions concerning the distribution and variability of quality problems, the number of years of data aggregated, and unmeasured case-mix differences. The ability of ERRs to distinguish 171 average-quality hospitals from 19 poor-quality hospitals (assigned to have 5% vs. 15% premature discharges) was evaluated. First, the largest diagnosis-related groups (DRGs) were studied to determine if they included cardiac, gastrointestinal, pulmonary, and neurologic diseases. Despite using the highly optimistic assumptions that premature discharges are readmitted 50% more frequently than appropriately timed discharges and that no ERR variation was caused by unmeasured case-mix differences between hospitals, the results were poor. For example, for DRG 127 (heart failure), high ERR outlier status (using a .05 probability cutoff) had a positive predictive value of only 36%, meaning that approximately two thirds of hospitals labeled "poor-quality" (high ERR outliers) were false-positive results. Next, we repeated the simulation with sample sizes aggregated for all medical DRGs. The positive predictive value was 72%, but was very sensitive to ERR variability due to non-quality-related factors (e.g., unmeasured case mix). The positive predictive value decreases to 45% if unmeasured case mix accounts for even 10% of observed hospital ERR variation. The circumstances under which DRG-specific ERRs would be useful to detect poor-quality hospitals are unlikely to occur. Even collapsing to all medical DRGs, ERRs are likely to be accurate predictors only if quality differences are quite large and if unmeasured case-mix differences account for a small amount of interhospital variation in ERRs.

Computer Simulation↗

The integrated inpatient management model. Lessons for managed care.

The Integrated Inpatient Management Model was a 2.5-year controlled prospective trial of using a clinical information system to direct and monitor physician and hospital practice on general medicine services of an 880-bed university hospital. For the over 2,000 admissions on both a control service and the intervention service, the mean length of stay (LOS) decreased when compared with historic norms (0.68 and 0.95 days respectively; P < 0.01 for both). This difference in mean LOS represents a savings of 580 hospital days for the intervention over the control service; (95% confidence interval, 300 to 1420 days). There also was a trend for the intervention service to have fewer LOS outliers than expected (P = 0.14). Ancillary service use decreased by 17% on both control and intervention services (a trend that disappeared after the study was terminated), while other internal medicine services experienced a 29% increase in this measure of resource use. The intervention service experienced fewer preventable deaths (P = 0.04), but there were no differences in global quality of care measures, readmission and mortality rates, and patient satisfaction. This use of a clinical information system is a prototype for the systems that will be needed for all forms of managed care.

Ancillary Services, Hospital↗

Do the criteria of resident selection committees predict residents' performances?

PURPOSE: To further the understanding of what factors residency selection committees consider when rating candidates and how well these ratings predict residents' performances. METHOD: The authors analyzed the application and residency files of 123 physicians who completed the internal medicine residency at the University of Michigan from 1989 through 1992; they also reviewed all 308 applications for 1993-94. Applications to the residency were reviewed by an intern selection committee (ISC) and given scores ranging from 0 (best) to 450 (worst). Multivariate analyses were used to evaluate the influences on ISC scores of seven factors: gender, internal medicine clerkship grade, number of honors in non-medicine clerkships, Alpha Omega Alpha (AOA) status, number of publications, score on the National Board of Medical Examiners (NBME) Part I examination, and medical school reputation. Each resident's performance was evaluated using the final overall evaluation score submitted by the program to the American Board of Internal Medicine. RESULTS: The most significant predictors of ISC score were internal medicine clerkship grade, AOA status, medical school reputation, and NBME I score (all four at p < .01; R2 = .66 for the full model of seven factors). The residents' final evaluation scores were moderately correlated with ISC scores at the time of application (r = -.52). In a multivariate analysis, the final scores were significantly associated only with internal medicine clerkship honors (p < .01) and graduation from the University of Michigan Medical School (p < .05), and there was a trend associating them with junior-year AOA election. CONCLUSION: The findings suggest that the intern selection committee overemphasized the predictive value of AOA election in the senior year, NBME I scores, and medical school reputation.

Bias↗

Measuring physician attitudes toward cost, uncertainty, malpractice, and utilization review.

OBJECTIVE: To develop a reliable measure of physician attitudes postulated to influence resource utilization. DESIGN: Statements related to attitudes that may influence resource use were culled from the literature and informal discussions with physicians. SETTING: Academic medical center. PARTICIPANTS: All faculty and housestaff in internal medicine, pediatrics, family medicine, and surgery at an academic medical center were surveyed. The response rate was 59% (n = 428). RESULTS: Exploratory factor analysis of all internal medicine surveys revealed four prominent domains. These closely corresponded with our a-priori hypothesized domains and were interpreted as cost-consciousness, discomfort with uncertainty, fear of malpractice, and annoyance with utilization review. A replication of the analysis using 25 survey items and conducted on the remainder of the data (surgeons, pediatricians, and family practitioners) revealed a similar four-factor solution. Scales were constructed for each of the four domains. Cronbach's alpha ranged from 0.66 to 0.88. Discomfort from uncertainty and fear of malpractice were moderately correlated (r = 0.42); other scale-scale correlations were modest. Of the four attitude measures, only cost-consciousness was associated with lower self-estimates of resource use. Both annoyance with utilization review and fear of malpractice increased as the proportion of time spent in patient care increased. CONCLUSIONS: Although various physician attitudes and beliefs have been hypothesized to influence health services resource use, reliable and valid measures for most of these have not been developed. The authors developed a 19-item survey instrument designed to measure these attitudes reliably. The four scales developed in this study may help identify physician attitudes that are important determinants of physician decision making and help foster a better understanding of physicians' reactions and acculturation to different practice environments.

Academic Medical Centers↗

Effects of horizontal whole-body vibration on reading.

Text from a newspaper was read by seated subjects (8 male, 8 female) during exposure to fore-and-aft and lateral whole-body vibration. With narrow-band random vibration at frequencies between 0.5 Hz and 10 Hz and with vibration magnitudes between 0.63 m s(-2) rms and 1.25 m s(-2) rms, reading speed was measured and subject ratings of reading speed were obtained. During exposure to fore-and-aft vibration, the subjects' ratings suggested that reading speed was significantly reduced at frequencies between 1.25 Hz and 6.3 Hz, with greater impairment at higher magnitudes of vibration. Maximum interference with reading was reported at 4 Hz. Measures of reading speed showed that subjects consistently overestimated their reduction in reading speed. Lateral vibration produced similar results, but the effect was less than that with fore-and-aft vibration.

Journal Article↗

Do attending or resident physician practice styles account for variations in hospital resource use?

Prospective payment has created incentives for hospitals to identify physicians who are responsible for high or excessive rates of resource use. However, at teaching hospitals it is unclear whether individual attending or resident physicians account for a substantial portion of the observed variations in hospital resource use. To explore this issue, case-mix adjusted hospital length of stay and ancillary resource use at a university teaching hospital for 7,667 consecutive discharges on general medicine wards and 7,566 discharges on medical subspecialty wards were evaluated. After controlling for case mix and patient characteristics (patients' age, sex, marital status, insurance status, and ward service), only 2% of the length of stay variance (log transformed) was attributable to the attending physician on general medicine wards (P = 0.06) and 1% on subspecialty medicine wards (P < 0.01). For total ancillary resource use, about 2% of the variance was attributable to general medicine and subspecialty ward attendings. Similar associations were found for resident physicians, although the overlap of attending and resident physicians' month-long rotations prevented critical appraisal of their independent contributions to resource use. Furthermore, labeling attending physicians as high or low hospital resource utilizers based on data from one month of attending duty (mean admissions = 33 +/- 7) would be scarcely better than randomly classifying them (kappas ranged from -0.05 for length of stay on subspecialty services to 0.18 for pharmacy use on general medicine services). In conclusion, in this university teaching hospital, attendings and residents account or a small, although statistically significant, amount of the variation in hospital resource use. It would be impractical for the hospital to reliably profile the resource use intensity of individual physicians.

Analysis of Variance↗

The integrated inpatient management model's clinical management information system.

The rising cost of health care has increased the call for cost control. The pressing need to control cost, coupled with the increase in managed care and prospective payment, has placed new urgency on administrators and clinicians to work collaboratively in providing efficient and effective care. We have developed the Integrated Inpatient Management Model (IIMM) to assist in this collaborative effort. We describe the IIMM's clinical information system that provides decision support to both administrators and clinicians. This clinical information system is the information backbone for the development and monitoring of practice guidelines or critical pathways. An integrated information system of this type is essential if hospitals are to prosper during the next decade.

Ancillary Services, Hospital↗

[Medical interns and AIDS: perceptions and attitudes in 3 French regions].

This study has been conducted to clarify certain issues regarding residency training with regard to acquired immunodeficiency syndrome (AIDS). The objective was to evaluate resident physicians' experiences in, and attitudes toward, the care of persons with AIDS in France. The design was a cross sectional study, using a self administered mailed questionnaire to 627 residents in 3 French areas: Ile-de-France, Nord-Pas de Calais and Province-Côte d'Azur, with a follow up of non responders. The subjects of this study were a random sample of residents in the second year of specialty medicine or family medicine residencies (biological residents, surgeons, public health residents and research residents were excluded). The response rate was 56%. More than half of residents indicated that their training was deficient in AIDS ambulatory care and less of 40% felt competent to provide usual and primary care for AIDS patients. The social and psychosocial aspect of care seems to be the greatest difficulties for them. About the half of residents reported at least one needle stock contaminated by a patient's blood. Needle stick injuries from patients known to have HIV infection were reported by 8% of them. About 25% expressed great concern about the professional risk of HIV contamination and 24% indicated it is dangerous to provide care for AIDS patients. It appears that an important component of future education in medical residency programs should emphasize strategies to address social and psychosocial issues in the medical care of AIDS patients and to decrease the risk of needle stick injuries.

Accidents, Occupational↗