Guiding principles for physician reentry programs.

Physician reentry is defined by the American Medical Association (AMA) as: "A return to clinical practice in the discipline in which one has been trained or certified following an extended period of clinical inactivity not resulting from discipline or impairment." Physician reentry programs are creating an avenue for physicians who have left medicine in good standing to return to clinical practice. To date, however, programs have developed independently, with little coordination among them. If, as predicted, more physicians seek to reenter practice and more programs are developed in response, the need for information on program outcomes will grow. Valid assessment tools should be developed and shared across reentry programs to assess individual learner outcomes. This discussion paper sets forth Guiding Principles for Physician Reentry Programs as a step toward a more coordinated approach to physician reentry education and training. They serve as a reference for setting priorities and standards for action and, more specifically, offer a foundation from which programs can be planned, evaluated, and monitored. In addition to the guiding principles, an overview of physician reentry is provided including information on reentry physicians and physician reentry programs as well as a definition of physician reentry, reasons for taking leave and returning to clinical practice, and barriers physicians face as they seek to reenter clinical care.

Reporting trends in a regional medication error data-sharing system.

Inter-organizational systems for sharing data about medication errors have emerged as an important strategy for improving patient safety and are expected to encourage not only voluntary error reporting but also learning from errors. Yet, few studies have examined the hypothesized benefits of inter-organizational data sharing. The current study examined the developmental trends in information reported by hospitals participating in a regional reporting system for medication errors. A coalition of hospitals in southwestern Pennsylvania, under the auspices of the Pittsburgh Regional Healthcare Initiative (PRHI), implemented a voluntary system for quarterly sharing of information about medication errors. Over a 12-month period, 25 hospitals shared information about 17,000 medication errors. Using latent growth curve analysis, we examined longitudinal trends in the quarterly number of errors and associated corrective actions reported by each hospital. Controlling for size, teaching status, and JCAHO accreditation score, for the hospitals as a group, error reporting increased at a statistically significant rate over the four quarters. Moreover, despite significant baseline differences among hospitals, error reporting increased at similar rates across hospitals over subsequent quarters. In contrast, the reporting of corrective actions remained unchanged. However, the baseline levels of corrective actions reporting were significantly different across hospitals. Although data sharing systems promote error reporting, it is unclear whether they encourage corrective actions. If data sharing is intended to promote not just error reporting but also root-cause-analysis and process improvement, then the design of the reporting system should emphasize data about these processes as well as errors.

An advanced pharmacy practice experience in inpatient medication education.

OBJECTIVE: To describe a unique advanced pharmacy practice experience (APPE) in which pharmacy students provided medication education to hospitalized patients. DESIGN: Students were trained to independently assess patients' needs for education and identify drug-related problems. Students then provided medication education and performed medication therapy management under the supervision of clinical staff pharmacists. To assess the impact of the APPE, the number of hospitalized patients assessed and educated during the 3-month time period prior to student involvement was compared to the first 3 months of the APPE. ASSESSMENT: Student participation increased the number of patients receiving medication education and medication therapy management from the hospital pharmacy. At the end of the APPE, students reported that the experience positively affected their ability to impact patients' care and to critique their own learning and skills. CONCLUSION: The inpatient medication education APPE provided students the opportunity to be responsible and accountable for the provision of direct patient care. In addition, the APPE benefitted the hospital, the school of pharmacy, and, most importantly, the patients.

Medication errors resulting from computer entry by nonprescribers.

PURPOSE: The characteristics of medication errors associated with the use of computer order-entry systems by nonprescribers are discussed. METHODS: A retrospective analysis of records submitted to MEDMARX was conducted for the period from July 1, 2001, to December 31, 2005, to identify all computer-related medication errors made by nonprescribers. Quantitative analysis of the records included the severity of each error, the origin within the medication-use process, the type of error, principal causes, the location within the facility where the error was made, and the therapeutic drug classes frequently involved. Similar data from the University of Pittsburgh Medical Center (UPMC) were also analyzed and compared with the national data set. RESULTS: During the 4.5 years, 693 unique facilities submitted 90,001 medication error records that were the result of computer entry by nonprescribers. The national data set and the UPMC data had similar findings for error severity, error origin, and type of error but showed some differences in the rank ordering of error causes, location where the error occurred, and drug classes frequently associated with such errors. The percentage of harm associated with computer-entry errors was small for both the national data set and UPMC data (0.99% and 0.80%, respectively). Both data sets cited performance deficit as the leading cause of computer-entry errors, but large percentage differences were seen with other causes, including inaccurate or omitted transcription (30% versus 12.6%, respectively), documentation (19.5% versus 10.6%, respectively), and procedure or protocol not followed (21.7% versus 30.3%, respectively). Both data sets implicated the inpatient pharmacy department as the location where most computer-entry errors occurred (49.3% versus 69.0%, respectively). CONCLUSION: Analysis of the characteristics of medication errors associated with the use of computer-entry systems by non-prescribers from both MEDMARX and an individual health system database demonstrated that computer systems create new opportunities for errors to occur. Working closely with information technology personnel dedicated to assisting pharmacy departments and vendors, adequate training of pharmacy staff, and development of national standards for drug information displays in computer order-entry systems may help minimize such errors.

Clinical triggers or rapid response teams: does the emperor need "new" clothes?

Essential to any rapid response system is certainty regarding its ability to provide an immediate and appropriate response to calls for help.

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.

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.

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.

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.

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.

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.

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.

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.