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Biomedical subjects

Carl A Sirio

Publications and source records attributed to Carl A Sirio.

18 recordsLinked to original sources
PubMed2006

The need for organizational change in patient safety initiatives.

OBJECTIVES: This study describes a computer simulation model that has been developed to explore organizational changes required to improve patient safety based on a medication error reporting system. METHODS: Model parameters for the simulation model were estimated from data submitted to the MEDMARX medication error reporting system from 570 healthcare facilities in the U.S. The model's results were validated with data from the Pittsburgh Regional Healthcare Initiative consisting of 44 hospitals in Pennsylvania that have adopted the MEDMARX medication error reporting system. The model was used to examine the effects of organizational changes in response to the error reporting system. Four interventions were simulated involving the implementation of computerized physician order entry, decision support systems and a clinical pharmacist on hospital rounds. CONCLUSIONS: Results of the analysis indicate that improved patient safety requires more than clinical initiatives and voluntary reporting of errors. Organizational change is essential for significant improvements in patient safety. In order to be successful, these initiatives must be designed and implemented through organizational support structures and institutionalized through enhanced education, training, and implementation of information technology that improves work flow capabilities.

Adverse Drug Reaction Reporting Systems↗
PubMed2004

Long-term mortality and quality of life after prolonged mechanical ventilation.

OBJECTIVE: To describe and identify factors associated with mortality rate and quality of life 1 yr after prolonged mechanical ventilation. DESIGN: Prospective, observational cohort study with patient recruitment over 26 months and follow-up for 1 yr. SETTING: Intensive care units at a tertiary care university hospital. PATIENTS: Adult patients receiving prolonged mechanical ventilation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We measured mortality rate and functional status, defined as the inability to perform instrumental activities of daily living (IADLs) 1 yr following prolonged mechanical ventilation. The study enrolled 817 patients. Their median age was 65 yrs, 46% were women, and 44% were alive at 1 yr. Median ages at baseline of 1-yr survivors and nonsurvivors were 53 and 71 yrs, respectively. At the time of admission to the hospital, survivors had fewer comorbidities, lower severity of illness score, and less dependence compared with nonsurvivors. Severity of illness on admission to the intensive care unit and prehospitalization functional status had a significant association with short-term mortality rate, whereas age and comorbidities were related to long-term mortality. Fifty-seven percent of the surviving patients needed caregiver assistance at 1 yr of follow-up. The odds of having IADL dependence at 1-yr among survivors was greater in older patients (odds ratio 1.04 for 1-yr increase in age) and those with IADL dependence before hospitalization (odds ratio 2.27). CONCLUSIONS: Mortality rate after prolonged mechanical ventilation is high. Long-term mortality rate is associated with older age and poor prehospitalization functional status. Many survivors needed assistance after discharge from the hospital, and more than half still required caregiver assistance at 1 yr. Interventions providing support for caregivers and patients may improve the functional status and quality of life of both groups and thus need to be evaluated.

Activities of Daily Living↗
PubMed2003

Hospital costs in patients receiving prolonged mechanical ventilation: does age have an impact?

BACKGROUND: The aging of the population is one of the causes of the increase in healthcare costs in the past few decades. It is controversial whether chronological age alone should be used in making healthcare decisions. OBJECTIVE: To determine the association between age and hospital costs in patients receiving mechanical ventilation (MV). DESIGN: Prospective, observational study. SETTING: Intensive care units at a teaching hospital. PATIENTS: A total of 813 adults who received prolonged (> or =48 hrs) mechanical ventilation. INTERVENTION: None. MEASUREMENTS: Severity of illness, comorbidities, length of stay, hospital costs, and mortality. We evaluated the independent association of age with hospital costs using linear regression. RESULTS: Mean (+/-sd) age of patients was 60.4 +/- 18.8 yrs. Median Acute Physiology Chronic Health Evaluation III score and probability of hospital death at intensive care unit admission were 64 and 0.31, respectively. Hospital mortality was 36%. Median total hospital costs and daily costs were $ 56,056 and $2,655 US dollars, respectively. Older age was associated with lower total hospital costs after controlling for sex, intensive care unit type, severity of illness, length of stay, insurance type, resuscitation status, and survival. Hospital costs were significantly less in older patients in all cost departments examined, except for respiratory care and intensive care unit room costs. CONCLUSIONS: Daily and total hospital costs were lower in older patients. Decreased hospital resource use in older patients may be related to a preference for less aggressive care by older patients and their families or by healthcare providers.

APACHE↗
PubMed2002

Renal failure in the ICU: comparison of the impact of acute renal failure and end-stage renal disease on ICU outcomes.

BACKGROUND: Acute renal failure (ARF) is associated with a persistent high mortality in critically ill patients in intensive care units (ICUs). Most studies to date have focused on patients with established, intrinsic ARF or relatively severe ARF due to multiple factors. None have examined outcomes of dialysis-dependent chronic renal failure [end-stage renal disease (ESRD)] patients in the ICU. We examined the incidence and outcomes of ARF in the ICU using a standard definition and compared these to outcomes of ICU patients with either ESRD or no renal failure. We sought to determine the impact of renal dysfunction and/or loss of organ function on outcome. METHODS: We prospectively scored 1530 admissions to eight ICUs over a 10-month period for illness severity at ICU admission using the Acute Physiological and Chronic Health Evaluation (APACHE III) evaluation tool. Patients were defined as having ARF based on the definition of Hou et al (Am J Med 74:243-248,1983) designed to detect significant measurable declines in renal function based on serum creatinine. ESRD patients were identified as being chronically dialysis-dependent prior to ICU admission and the remainder had no renal failure. Clinical characteristics at ICU admission and ICU and hospital outcomes were compared between the three groups. RESULTS: We identified 254 cases of ARF, 57 cases of ESRD and 1219 cases of no renal failure for an incidence of ARF of 17%. Roughly half the ARF patients had ARF at ICU admission and the remainder developed ARF during their ICU stay. Only 11% of ARF patients required dialysis support. ARF patients had significantly higher acute illness severity scores than those with no renal failure, whereas patients with ESRD had intermediate severity scores. ICU mortality was 23% for patients with ARF, 11% for those with ESRD, and 5% for those with no renal failure. There was no difference in outcome between patients who had ARF at ICU admission and those who developed ARF in the ICU. Patients with ARF severe enough to require dialysis had a mortality of 57%. APACHE III predicted outcome very well in patients with no renal failure and patients with ARF at the time of scoring but underpredicted mortality in those who developed ARF after ICU admission and overestimated mortality in patients with ESRD. CONCLUSIONS: ARF is common in ICU patients and has a persistent negative impact on outcomes, although the majority of ARF is not severe enough to require dialysis support. The mortality of patients with ARF from all causes is almost exactly similar to that noted using the same criteria two decades ago. More profound ARF requiring dialysis continues to have an even greater mortality. Nevertheless, acute declines in renal function are associated with a mortality that is not well explained simply by loss of organ function. The majority of ARF patients who did not require dialysis still had a considerably higher mortality than the ESRD patients, all of whom required dialysis; while ARF patients who did require dialysis had a much higher morality than ESRD patients. APACHE III performs well and captures the mortality of patients with ARF at the time of scoring. Development of ARF after scoring has a profound effect on standardized mortality. We were unable to identify a unique mortality associated with ARF, but the presence of measurable renal insufficiency continues to be a sensitive marker for poor outcome.

APACHE↗
PubMed2002

Age and the risk of in-hospital death: insights from a multihospital study of intensive care patients.

OBJECTIVES: To determine independent relationships between age and the risk of in-hospital death. DESIGN: Retrospective cohort study. SETTING: Thirty-eight intensive care units (ICUs) in 28 hospitals in a large Midwest metropolitan region. PARTICIPANTS: One hundred fifty-six thousand, one hundred thirty-six consecutive admissions to medical, surgical, neurological, and mixed medical/surgical ICUs between March 1, 1991, and March 31, 1997. MEASUREMENTS: In-hospital death rates were compared at successive 5-year age intervals, adjusting for gender, diagnosis, admission source, comorbidity, and acute physiology scores. Acute physiology scores were determined using a validated methodology based on abnormalities in 17 physiological measures collected during the first 24 hours of ICU admission. RESULTS: The adjusted odds of death increased with each 5-year age increment. For example, relative to patients younger than 35, adjusted odds of death in patients aged 40 to 44, 50 to 54, 60 to 64, 70 to 74, 80 to 84, and 90 and older were 1.51, 1.73, 2.38, 2.98, 3.86, and 4.74, respectively. In stratified analyses, age-related increases in the odds of death were somewhat higher in surgical than medical patients or patients with lower severity of illness at admission. Although acute physiology scores had excellent discrimination in all age groups, discrimination decreased with age (e.g., c-statistics of 0.928 and 0.835 in patients younger than 45 and 85 and older, respectively). CONCLUSION: Our findings demonstrate incremental increases in the risk of hospital death associated with age that was independent of severity of illness and other prognostic factors. Although the current results may be less biased by differences in treatment goals than studies of general hospitalized patients, the lower discrimination of physiology scores in older patients suggests that unmeasured factors (e.g., functional status, patient preferences for care, differences in physician practices) may be of greater prognostic importance in older than in younger patients.

APACHE↗
PubMed2002

A new conceptual framework for ICU performance appraisal and improvement.

PURPOSE: This study examined the use of outcomes for the purposes of ICU evaluation and improvement. We reviewed the strengths and weaknesses of an outcomes-centered approach to intensive care unit (ICU) evaluation and present a more comprehensive conceptual framework for ICU evaluation and improvement. MATERIALS AND METHODS: Data was collected from 2 sources: (1) a structured review of the literature, with relevant articles identified using Medline, and (2) 85 semistructured interviews of health care professionals (eg, physicians) and health care administrators (eg, chief executive officer). The interviewees came from 4 institutions: a 900-bed East Coast teaching medical center, a 600-bed East Coast teaching medical center, a 590-bed East Coast teaching medical center, and a 435-bed West Coast private community hospital. A nonrandomized, purposeful sample was used. RESULTS: A conceptual framework for ICU evaluation is presented that identifies and defines 3 different types of variables: performance (eg, appropriateness of care, effectiveness of care), outcome (eg, resource use, mortality), and process (eg, timeliness of treatment, work environment). The framework emphasizes performance variables and the relationships between performance, outcome, and process of care variables, as a logical focus for ICU evaluation and improvement. CONCLUSIONS: Performance variables offer distinct advantages over outcome variables for ICU evaluation. Their use, however, will require additional development of current evaluation tools and methods. They provide the ability to identify the value an ICU adds to patient care in a hospital or to an episode of illness, and to evaluate integrated systems for providing care.

Chief Executive Officers, Hospital↗
PubMed2002

Fulminant Clostridium difficile: an underappreciated and increasing cause of death and complications.

OBJECTIVE: To review the epidemiology and characteristics of patients who died or underwent colectomy secondary to fulminant Clostridium difficile colitis. SUMMARY BACKGROUND DATA: In patients with C. difficile colitis, a progressive, systemic inflammatory state may develop that is unresponsive to medical therapy; it may progress to colectomy or death. METHODS: The authors reviewed 2,334 hospitalized patients with C. difficile colitis from January 1989 to December 2000. Sixty-four patients died or underwent colectomy for pathologically proven C. difficile colitis. RESULTS: In 2000, the incidence of C. difficile colitis in hospitalized patients increased from a baseline of 0.68% to 1.2%, and the incidence of patients with C. difficile colitis in whom life-threatening symptoms developed increased from 1.6% to 3.2%. Forty-four patients required a colectomy and 20 others died directly from C. difficile colitis. Twenty-two percent had a prior history of C. difficile colitis. A recent surgical procedure and immunosuppression were common predisposing conditions. Lung transplant patients were 46 times more likely to have C. difficile colitis and eight times more likely to have severe disease. Abdominal computed tomography scan correctly diagnosed all patients, whereas 12.5% of toxin assays and 10% of endoscopies were falsely negative. Patients undergoing colectomy for C. difficile colitis had an overall death rate of 57%. Significant predictors of death after colectomy were preoperative vasopressor requirements and age. CONCLUSIONS: C. difficile colitis is a significant and increasing cause of death. Surgical treatment of C. difficile colitis has a high death rate once the fulminant expression of the disease is present.

APACHE↗
PubMed2002

Identifying potentially ineffective care in a community hospital.

OBJECTIVES: To develop a formula to predict mortality for intensive care unit patients between day 5 in an intensive care unit and 100 days after hospital discharge from a community hospital. DESIGN: Retrospective 1-yr derivation study with validation on a subsequent year's intensive care unit population. SETTING: An 850-bed, not-for-profit community hospital with three adult intensive care units, including medical-surgical, cardiac-medical, and cardiac-surgical units. PATIENTS: The development patient set included 4045 consecutive adult admissions to the intensive care unit between July 1995 and June 1996. The validation sample consisted of 4084 admissions between July 1996 and June 1997. RESULTS: During the first year, 100-day posthospital discharge mortality was predicted by the combination Acute Physiology and Chronic Health Evaluation (APACHE) III predicted mortality on day 5 of >0.92 or the product of day 1 and day 5 APACHE predicted mortality of >0.40, with an increase in the APACHE predicted mortality from day 1 to day 5 of >0.10. Specificity in the development cohort was 0.99, sensitivity was 0.30, and positive predictive value was 0.95. The second-year validation study demonstrated a specificity, sensitivity, and positive predictive value of 0.98, 0.29, and 0.91, respectively, when applying the model to the validation sample. CONCLUSIONS: By using readily available APACHE III data, we were able to identify patients at high risk of dying between intensive care unit day 5 and 100 days after discharge. Although the low sensitivity limits the number of patients for whom death at 100 days is predicted, the high specificity and positive predictive value suggests this information may provide useful information for families and physicians. If these formulas can be validated in diverse institutional settings, decisions regarding short- and long-term outcomes may be improved by using objective survival predictions from two time points.

APACHE↗
PubMed2002

Day of the week of intensive care admission and patient outcomes: a multisite regional evaluation.

BACKGROUND: Relationships between day of the week of admission to hospitals and hospital outcomes have been poorly studied. Intensive care units (ICUs) appear to be uniquely suited to examine such a question given the unpredictability of ICU admissions and the clinical instability of their patient populations. METHODS: This retrospective cohort study included 156,136 patients admitted to 38 ICUs in 28 hospitals in a large Midwestern metropolitan area during 1991 to 1997. Demographic and clinical data were collected from patients' medical records and used in multivariable risk-adjustment models that examined the risk for in-hospital death and ICU length of stay. RESULTS: The adjusted odds of in-hospital death were 9% higher (OR 1.09; 95% CI, 1.04-1.15; P <0.001) for weekend admissions (Saturday or Sunday) than in patients admitted midweek (Tuesday through Thursday). However, the adjusted odds of death were also higher (P <0.001) for patients admitted on Monday (OR 1.09) or Friday (OR 1.08). Findings were generally similar in analyses stratified by admission type (medical vs. surgical), hospital teaching status, and illness severity. Adjusted ICU length of stay was 4% longer (P <0.001) for weekend or Friday admissions, compared with midweek admissions. CONCLUSIONS: Patients admitted to an ICU on the weekend have a modestly higher risk for death and ICU length of stay. However, the similar risk for death in patients admitted on Friday and Monday suggests that "weekend effects" may be more related to unmeasured severity of illness and/or selection bias than to differences in quality of care.

Adult↗
PubMed2002

A cross-cultural comparison of critical care delivery: Japan and the United States.

OBJECTIVE: To compare the utilization and outcomes of critical care services in a cohort of hospitals in the United States and Japan. DESIGN: Prospective data collection on 5,107 patients and detailed organizational characteristics from each of the participating Japanese study hospitals between 1993 and 1995, with comparisons made to prospectively collected data on the 17,440 patients included in the US APACHE (acute physiology and chronic health evaluation) III database. SETTING: Twenty-two Japanese and 40 US hospitals. PATIENTS: Consecutive, unselected patients from medical, surgical, and mixed medical/surgical ICUs. MEASUREMENTS: Severity of illness, predicted risk of in-hospital death, and ICU and hospital length of stay (LOS) were assessed using APACHE III. Japanese ICU directors completed a detailed survey describing their units. MAIN RESULTS: US and Japanese ICUs have a similar array of modalities available for care. Only 1.0% (range, 0.56 to 2.7%) of beds in Japanese hospitals were designated as ICUs. The organization of the Japanese and US ICUs varied by hospital, but Japanese ICUs were more likely to be organized to care for heterogeneous diagnostic populations. Sample case-mix differences reflect different disease prevalence. ICU utilization for women is significantly lower (35.5% vs 44.8% of patients) and there were relatively fewer patients > or = 85 years old in the Japanese ICU cohort (1.2% vs 4.6%), despite a higher per capita rate of individuals > or = 85 years old in Japan. The utilization of ICUs for patients at low risk of death significantly less in Japan (10.2%) than in the United States (12.9%). The APACHE III score stratified patient risk. Overall mortality was similar in both national samples after accounting for differences in hospital LOS, utilizing a model that was highly discriminating (receiver operating characteristic, 0.87) when applied to the Japanese sample. The application of a US-based mortality model to a Japanese sample overestimated mortality across all but the highest (> 90%) deciles of risk. Significant variation in expected performance was noted between hospitals. Risk-adjusted ICU LOS was not significantly longer in Japan; however, total hospital stay was nearly twice that found in the US hospitals, reflecting differences in hospital utilization philosophies. CONCLUSIONS: Similar high-technology critical care is available in both countries. Variations in ICU utilization reflect differences in case-mix and bed availability. Japanese ICU utilization by gender reflects differences in disease prevalence, whereas differences in utilization by age may reflect differences in cultural norms regarding the limits of care. Such differences provide context from which to assess the delivery of care across international borders. Miscalibration of predictive models applied to international data samples highlight the impact that differences in resource use and local practice cultures have on outcomes. Models may require modification in order to account for these differences. Nevertheless, with large databases, it is possible to assess critical care delivery systems between countries accounting for differences in case-mix, severity of illness, and cultural normative standards facilitating the design and management such systems.

APACHE↗
PubMedDate not supplied

Pennsylvania partners in pursuit of good health: building a shared-responsibility model for state health improvement.

Over the last decade, much attention has focused on the reorganization of the roles and functions of public health to improve the health of communities. The Pennsylvania State Health Improvement Plan (SHIP) offers one example of how national, state, and local components of the public health system can effectively integrate their strategies and resources to improve responsiveness to local public health needs. This article reviews the policy action and planning process used to develop a community partnership, shared-responsibility model and the strategies and implementation plans that have been adopted to achieve substantial, measurable improvement in community health status.

Community Health Planning↗
PubMedDate not supplied

Pittsburgh Regional Healthcare Initiative: a systems approach for achieving perfect patient care.

The Pittsburgh Regional Healthcare Initiative (PRHI) is an innovative model for health system change based on regionwide shared learning. By linking patient outcomes data with processes of care and sharing that information widely, PRHI supports measurable improvements in regionwide clinical practice and patient safety. In addition, through the redesign of problem solving at the front lines of care, PRHI helps health care organizations to evolve toward becoming sustainable systems of perfect patient care. This paper describes PRHI's design for change, reviews the progress and limitations of the shared learning model, and offers a set of broader policy considerations.

Humans↗
PubMedDate not supplied

Paramedic intubation errors: isolated events or symptoms of larger problems?

Paramedics provide life-saving emergency medical care to patients in the out-of-hospital setting, but only selected emergency interventions have proved to be safe or effective. Endotracheal intubation (the insertion of an emergency breathing tube into the trachea) is an important and high-profile procedure performed by paramedics. In our study population, we found that errors occurred in 22 percent of intubation attempts, with a frequency of up to 40 percent in selected ambulance systems. These findings indicate frequent errors associated with this life-saving technique. These events might be emblematic of larger issues in the structure and delivery of out-of-hospital emergency care.

Adolescent↗