American Journal of Medical Quality

In spite of efforts to improve patient safety since the 1999 report, To Error Is Human, recent studies have shown limited progress toward preventing serious error. Most hospitals use root cause analysis as a method of serious event investigation. The authors postulate that this method suffers from 4 problems: (a) the use of root cause analysis is neither standardized nor reliable between organizations, (b) hospitals focus on “who” did “what” rather than on “why” the error occurred, (c) the identified causes are often too nonspecific to develop actionable correction plans, and (d) a standardized nomenclature does not exist to allow analysis of recurring errors across the organization. This article describes the modification of the Human Factors Analysis Classification System based on James Reason’s theory of error causation for use in health care. This method resolves the 4 deficiencies noted above. The authors’ experience investigating 105 serious events over 2 years is described.

A comprehensive central venous catheter (CVC) safety program reduces mechanical and infectious complications and requires an integrated multidisciplinary effort. A multistate health care system implemented a discovery and diffusion project addressing CVC insertion, maintenance, and removal. Process and outcome measures were collected before and after the intervention. The project was completed in 12 months. It was associated with statistically significant improvement in 6 process measures and reduction in the rate of ICU central line-associated bloodstream infection (from 1.16 to 0.80 infections/1000 catheter days; incidence rate ratio = 0.69; 95% confidence interval = 0.51, 0.93). A comprehensive CVC standardization project increased compliance with several established best practices, was associated with improved outcomes, produced a refined definition of discovery and diffusion project components, and identified several discrete leadership principles that can be applied to future clinical improvement initiatives.

With the passage of the Affordable Care Act, increased emphasis has been placed on optimizing quality and reducing expenditures. The use of an emergency department case manager (EDCM) is reemerging as an important initiative in the quest to provide high-quality care and decrease unnecessary hospital admissions. A pilot study of the use of EDCMs was conducted in one of the authors’ EDs during a 6-month trial period. By using evidence-based criteria, the EDCM helped in real time to verify admission criteria, assisted with inpatient versus outpatient designation, found community alternatives to hospital admission, and initiated discharge planning for patients who required admission and were at high risk for readmission. EDCMs also worked with pharmacists to assist with medication management for patients who required assistance with obtaining prescriptions. Because of the pilot study’s success, the authors’ health care system will be implementing EDCMs throughout the organization.

Atrial fibrillation (AF) afflicts nearly 3 million people in the United States annually, the large majority of whom are Medicare beneficiaries with other chronic illnesses. Beneficiaries with multiple chronic conditions have high hospitalization and readmission rates but evidence on factors associated with readmissions is limited, and little is known about differences in rates between beneficiaries with and without AF. In a retrospective analysis of Medicare claims data, the relationship between outpatient visits within 14 days after hospital discharge and readmission was examined for beneficiaries with AF or other chronic conditions. About half of those beneficiaries with a hospitalization had an outpatient visit within 14 days of discharge. Readmission rates were 11% to 24% lower for beneficiaries with an outpatient visit than for those without one (P < .01). These findings suggest that follow-up care shortly after discharge may lower readmissions for patients with AF or other chronic conditions.

Patient safety indicators (PSIs) use inpatient administrative data to flag cases with potentially preventable adverse events (AEs) attributable to hospital care. This study explored how many AEs the PSIs identified in the 30 days post discharge. PSI software was run on Veterans Health Administration 2003-2007 administrative data for 10 recently validated PSIs. Among PSI-eligible index hospitalizations not flagged with an AE, this study evaluated how many AEs occurred within 1 to 14 and 15 to 30 days post discharge using inpatient and outpatient administrative data. Considering all PSI-eligible index hospitalizations, 11 141 postdischarge AEs were identified, compared with 40 578 inpatient-flagged AEs. More than 60% of postdischarge AEs were detected within 14 days of discharge. The majority of postdischarge AEs were decubitus ulcers and postoperative pulmonary embolisms or deep vein thromboses. Extending PSI algorithms to the postdischarge period may provide a more complete picture of hospital quality. Future work should use chart review to validate postdischarge PSI events.

The objective of this study was to estimate the frequency of heart failure (HF) readmissions that can be prevented through a quality improvement (QI) program. All HF patients at the University of Connecticut Health Center who had a readmission within 30 days of discharge in the year before (2008) and the year after (2011) a QI program were studied. Through chart review, the percentage of patients who had preventable readmissions in each year was estimated. Prior to the QI initiative, chart reviewers identified that 20% to 30% of readmissions were preventable. The decrease in readmissions after the QI program was similar at 28%. Fewer readmissions after the QI initiative were deemed preventable compared with before. In conclusion, this study found a percentage of preventable readmissions similar to the actual 28% reduction in readmissions after a QI program was launched. Preventable readmissions were less common after the QI program was in place.

Long waits for appointments decrease patient satisfaction. Administrative wait-time measures are used by managers, but relationships between these measures and satisfaction have not been studied. Data from the Veterans Health Administration are used to examine the relationship between wait times and satisfaction. Outcome measures include patient-reported satisfaction and timely appointment access. Capacity and retrospective and prospective time stamp measures are calculated separately for new and returning patients. The time stamp measures consist of the date when the appointment was created in the scheduling system (create date [CD]) or the date the appointment was desired as the start date for wait-time computation. Logistic regression models predict patient satisfaction using these measures. The new-patient capacity, new-patient time stamp measures using CD, and the returning-patient desired-date prospective measure were significantly associated with patient satisfaction. Standard practices can be improved by targeting wait-time measures to patient subpopulations.

Solid organ transplant recipients are prescribed a high number of medications, increasing the potential for medication errors. Barcode-assisted medication administration (BCMA) is technology that reduces medication administration errors. An observational study was conducted at an academic medical center solid organ transplant unit before and after BMCA implementation. Medication accuracy was determined and administration errors were categorized by type and therapeutic class of medication. A baseline medication administration error rate of 4.8% was observed with wrong dose errors representing 78% of the errors. During the post-BCMA period the medication administration error rate was reduced by 68% to 1.5% (P = .0001). Wrong dose errors were reduced by 67% (P = .001), and unauthorized medication administrations were reduced by 73%. Steroids were associated with the highest error rate. The results of this study suggest that routinely adopting BCMA has the potential to reduce medication administration errors in transplant patients.

Radial arterial line placement is an invasive procedure that may result in complications. Validated checklists are central to teaching and assessing procedural skills and may result in improved health care quality. The results of the first step of the validation of a radial arterial line placement checklist are described. A comprehensive literature review of articles published on radial arterial line placement did not yield a checklist validated by the Delphi method. A modified Delphi technique, involving a panel of 9 interdisciplinary, interinstitutional experts, was used to develop a radial arterial line placement checklist. The internal consistency coefficient using Cronbach α was .99. Developing a 22-item checklist for teaching and assessing radial arterial line placement is the first step in the validation process. For this checklist to become further validated, it should be implemented and studied in the simulation and clinical environments.

A systematic and rigorous implementation of quality improvement processes is likely to improve the well-being of staff members and heighten their job satisfaction. Assessing professionals’ perceptions of health care quality should lead to the betterment of health care services. In Saudi Arabia, no previous studies examine how university health professionals view health care quality concepts. A cross-sectional analytical study employing a self-administered questionnaire with 43 statements assessing quality perceptions of academic health care professionals was used. Despite the agreement of health professionals on numerous quality concepts addressed in this study, there was insufficient agreement on 10 core quality concepts, 3 of which were the following: “quality focuses on customers” (50%), “quality is tangible and therefore measurable” (29.3%), and “quality is data-driven” (62%). Hence, providing health professionals with relevant training likely will generate a better understanding of quality concepts and optimize their performance.