The AHRQ PSNet Collection comprises an extensive selection of resources relevant to the patient safety community. These resources come in a variety of formats, including literature, research, tools, and Web sites. Resources are identified using the National Library of Medicine’s Medline database, various news and content aggregators, and the expertise of the AHRQ PSNet editorial and technical teams.
Müller M, Jürgens J, Redaèlli M, et al. BMJ Open. 2018;8:e022202.
Standardized handoff tools are increasingly implemented to improve communication between health care providers. Although this systematic review identified several studies supporting the use of SBAR as a communication tool to improve patient safety, the authors suggest the evidence is moderate and that further research is needed.
Griffiths P, Recio-Saucedo A, Dall'Ora C, et al. J Adv Nurs. 2018;74:1474-1487.
Inadequate hospital nurse staffing is linked to increased mortality. This systematic review found that lower nurse staffing is associated with more reports of missed nursing care. Two of the authors summarized the science of missed nursing care in a recent PSNet perspective.
Dalal AK, Schaffer A, Gershanik EF, et al. J Gen Intern Med. 2018;33:1043-1051.
Incomplete follow-up of tests pending at hospital discharge is a persistent patient safety issue. This cluster-randomized trial used medical record review to assess whether an automated notification of test results to discharging hospitalist physicians and receiving primary care physicians improved follow-up compared with usual care. The intervention was focused on actionable test results, which constituted less than 10% of all pending tests. Even with the intervention, only 60% of tests deemed actionable had any documented follow-up in the medical record, and there was no significant difference compared to usual care. The authors conclude that automated clinician notification does not constitute a sufficient intervention to optimize management of tests pending at discharge. Previous WebM&M commentaries explored problems related to tests pending at discharge and how organizations can improve follow-up of abnormal test results.
Parshuram CS, Dryden-Palmer K, Farrell C, et al. JAMA. 2018;319:1002-1012.
Identifying incipient clinical deterioration is a prerequisite for rapid response and prevention of harm for hospitalized patients. This study tested a bedside pediatric early warning system, which included an illness severity score, standardized documentation, and monitoring protocols. In a cluster-randomized trial in several high-income countries, implementation of the bundle did not result in decreased in-hospital mortality compared to usual care. The overall mortality rate in the study was less than 0.2%. The authors suggest that this unexpectedly low mortality rate may have made it difficult to detect differences in intervention versus control hospitals. A related editorial suggests that artificial intelligence should be used to identify clinical deterioration and that outcomes beyond mortality should be considered in their evaluation.
Handoffs represent a significant risk to patient safety. Standardizing communication during the handoff process has the potential to reduce harm. In this trial, researchers assessed the impact of a standardized handoff curriculum on perceived interprovider communication in eight intensive care units (ICUs) across two hospital systems. Although the curriculum was perceived to improve shift preparedness among providers, they found no association with better patient outcomes in the ICUs, including length of stay, duration of mechanical ventilation, or reintubations. An accompanying editorial suggests that further research on standardized handoffs in the ICU is necessary to better understand the potential for improving patient outcomes. A previous PSNet interview discussed handoffs and the implementation and findings of the landmark I-PASS study.
Jones PM, Cherry RA, Allen BN, et al. JAMA. 2018;319:143-153.
Handoffs between providers are inevitable and are known to introduce risks. This retrospective population-based cohort study in Canada examined the effects of intraoperative handoffs between anesthesiologists on major complications, readmissions, and 30-day mortality among patients undergoing surgery. After adjustment for patient and site characteristics, patients who experienced an anesthesiologist handoff had higher rates of major complications and mortality compared to patients who had the same anesthesiologist throughout their procedure. The number of surgeries in which a handoff occurred increased over time during the 6-year study period. These results suggest that limiting intraoperative anesthesiologist handoffs may improve safety. However, a related editorial posits that reducing handoffs is a simplistic solution that may have unintended consequences and instead recommends that quality improvement approaches, such as developing standardized handoff procedures, may result in more meaningful enhancements for intraoperative anesthesia safety.
Ball JE, Bruyneel L, Aiken LH, et al. Int J Nurs Stud. 2018;78:10-15.
Missed nursing care may result from inadequate nurse staffing and explain the relationship between nurse-to-patient ratios and patient outcomes. Research has shown that higher nurse staffing levels are associated with lower inpatient mortality and that reduced staffing increases the risk for postoperative complications. In this study, investigators examined data from more than 400,000 surgical patients from 300 hospitals in 9 countries as well as survey responses from 26,516 nurses. They found a significant association between nurse staffing and missed nursing care with 30-day risk-adjusted postoperative mortality. The authors conclude that measuring missed nursing care may help identify patients at greater risk for adverse outcomes earlier in their course. A past WebM&M commentary highlighted important issues associated with nurse staffing ratios.
Scott AM, Li J, Oyewole-Eletu S, et al. Jt Comm J Qual Patient Saf. 2017;43.
Fragmented care transitions may lead to adverse events due to poor provider communication, disjointed continuation of care, and incomplete patient follow-up. In this study, site visits were conducted at 22 healthcare organization across the United State to determine facilitators and barriers to implementing transitional care services. Identified facilitators included collaborating within and beyond the organization, tailoring care to patients and caregivers, and generating buy-in among staff. Barriers included poor integration of transitional care services, unmet patient or caregiver needs, underutilized services, and lack of physician buy-in. Results suggest how institutions may wish to prioritize strategies to facility effective care transitions.
Walker S, Mason A, Quan P, et al. Lancet. 2017;390:62-72.
The weekend effect (higher mortality for patients in acute care settings on weekends compared to weekdays) has led to widespread concerns about hospital staffing. This retrospective study examined whether mortality for emergency admissions at four hospitals in the United Kingdom differed on weekends compared to weekdays. Unlike prior studies of the weekend effect, this study included multiple specific markers of patients' illness severity as well as hospital workload. Investigators found higher mortality associated with being admitted to the hospital during weekends compared to weekdays, but a significant proportion of the observed weekend effect was explained by severity of patient illness. They used three measures to approximate hospital workload: total number of admissions, net admissions (subtracting discharges from admissions), and percentage of beds occupied. None of these workload measures was associated with mortality. The authors conclude that differences in illness severity rather than health care team staffing explain the weekend effect. A recent PSNet interview discussed the weekend effect in health care.
The weekend effect refers to the fact that mortality for several common conditions is higher in patients admitted on weekends compared to weekdays. While the mechanism for this effect is unclear, it likely varies for different disease processes. For example, prior studies have postulated that a weekend effect exists for patients with acute stroke. However, this study analyzed a large British database and found that many patients with a history of stroke who were later hospitalized for other reasons had their admission diagnosis inaccurately documented as acute stroke. This inaccuracy occurred more frequently in patients admitted on weekdays. Because the weekday admissions included many patients who were hospitalized for less morbid conditions, mortality appeared lower for patients admitted on weekdays than on weekends. When data was reanalyzed to include only those patients with a true acute stroke, no weekend effect was found. This study demonstrates the limitations of administrative data in analyzing patient safety issues.
Murphy DR, Wu L, Thomas EJ, et al. J Clin Oncol. 2015;33:3560-7.
Trigger tools are algorithms that prompt clinicians to investigate a potential adverse event. These tools are in routine practice for detection of adverse drug events and have been used to identify diagnostic delays. Investigators randomized physicians to either no intervention or to receive triggers related to cancer diagnosis; each trigger was an abnormal diagnostic test result for which follow-up testing is recommended. Delays in acting on abnormal test results are a known cause of adverse events. Sending reminders to physicians based on the trigger process led to higher rates of recommended diagnostic evaluation completion and a shorter time to completion for two of the three studied conditions. These promising results suggest that trigger tools could play a role in improving diagnosis across a range of conditions.
Starmer AJ, Spector ND, Srivastava R, et al. New Engl J Med. 2014;371:1803-1812.
The number of handoffs a patient experiences while hospitalized has almost certainly increased at academic institutions after the implementation of duty hour restrictions, posing a significant threat to patient safety. In response, The Joint Commission required that all hospitals maintain a standardized approach to handoff communication, and in 2010 the Accreditation Council for Graduate Medical Education required that all residents receive formal handoff training. This multicenter study demonstrates that implementation of a standardized handoff bundle—which included a mnemonic ("I-PASS") for standardized oral and written signouts, formal training in handoff communication, faculty development, and efforts to ensure sustainability—was associated with a 23% relative reduction in the incidence of preventable adverse events across 9 participating pediatric residency programs. This improvement was achieved through a very high level of resident engagement in the revised handoff process, but did not negatively affect resident workflow. This rigorously designed and analyzed study establishes the I-PASS model as the gold standard for effective clinical handoffs and demonstrates the value of methodologically stringent approaches to addressing patient safety issues. A case of a delayed diagnosis due to poor handoffs is discussed in a past AHRQ WebM&M commentary.
Starmer AJ, Sectish TC, Simon DW, et al. JAMA. 2013;310:2262-2270.
Handoff improvement is a national patient safety priority. The Accreditation Council for Graduate Medical Education now requires residency programs to provide formal handoff education to trainees. This study evaluated the implementation of an inpatient handoff bundle for pediatric resident physicians. The multifaceted intervention included team training, standardized communication, electronic documentation, and new team handoff structures. In the uncontrolled, before-and-after analyses, medical errors and preventable adverse events decreased substantially. The intervention did not adversely affect resident workflow. Residents were found to spend more time in direct contact with patients in the post-intervention period. A related editorial notes that this study presents promising evidence that improving handoffs can reduce patient harm.
Feigenbaum P, Neuwirth E, Trowbridge L, et al. Med Care. 2012;50:599-605.
Preventing readmissions after hospital discharge is a national policy priority. The Partnership for Patients has established a goal of reducing preventable readmissions by 20% by 2013, and hospitals now face financial penalties for excess readmission rates. However, the proportion of readmissions that is truly preventable remains unclear, as prior studies have found that only 1 in 5 readmissions may be preventable. This case series from the integrated Kaiser Permanente system found that nearly half of their 30-day readmissions were at least possibly preventable (with 11% being completely preventable). Most readmissions had multiple contributing causes, and interestingly, use of strategies to prevent readmissions such as postdischarge telephone calls and early primary care follow-up appointments varied widely across the 18 hospitals in the study. A potentially preventable readmission due to a medication error is discussed in an AHRQ WebM&M commentary.
Callen JL, Westbrook JI, Georgiou A, et al. J Gen Intern Med. 2011;27:1334-1348.
Following up test results in a timely fashion is a recognized patient safety problem in primary care, and inadequate follow-up systems are a source of frustration for outpatient clinicians and a relatively common source of malpractice claims. This systematic review found evidence that failure to act on abnormal radiology or laboratory results is common and clearly linked to missed or delayed diagnoses. The review also found wide variation in processes for handling test results across studies. Electronic health records (EHRs) did appear to improve test follow-up rates, although a substantial proportion of abnormal results were not followed up even with EHRs. The authors advocate for more standardized processes for informing patients of abnormal results, and recent guidelines have been published for organizational policies to improve test result communication.
Li SYW, Magrabi F, Coiera E. J Am Med Inform Assoc. 2012;19:6-12.
Interruptions pose a significant safety hazard for health care providers performing complex tasks, such as signout or medication administration. However, as prior research has pointed out, many interruptions are necessary for clinical care, making it difficult for safety professionals to develop approaches to limiting the harmful effects of interruptions. Reviewing the literature on interruptions from the psychology and informatics fields, this study identifies several key variables that influence the relationship between interruption of a task and patient harm. The authors provide several recommendations, based on human factors engineering principles, to mitigate the effect of interruptions on patient care. A case of an interruption leading to a medication error is discussed in this AHRQ WebM&M commentary.
Bell CM, Brener SS, Gunraj N, et al. JAMA. 2011;306:840-7.
Care transitions are a vulnerable time for patients, particularly following hospitalization when discharge communication, pending tests, and medication reconciliation are all known challenges. This study analyzed a population-based data set containing both hospitalization and outpatient prescription records to identify the incidence of potentially unintentional medication discontinuation among patients 66 years or older. Analyzing nearly 400,000 patients, investigators found high rates of medication discontinuation ranging from 5% to 19% across 5 evidence-based medication classes (e.g., lipid lowering, thyroid replacement, antiplatelet agents) for hospitalized patients. Admission to the ICU was associated with an even greater risk of medication discontinuation. While some medication discontinuation is not surprising in the setting of a critical illness that may create new contraindications to preexisting medications, both this study and an accompanying editorial [see link below] raise appropriate concern about carefully reconciling chronic disease medications following hospitalization. A past AHRQ WebM&M conversation and perspective discussed the challenges and opportunities for improving care transitions.
The Partnership for Patients has set a goal of reducing preventable hospital readmissions 20% by the year 2013. This goal was achieved by the landmark care transitions study. However, since that study was conducted in an integrated health care system, concerns linger about the generalizability of the intervention to other settings. This study, funded by the Centers for Medicare and Medicaid Services, sought to evaluate the real world effectiveness of the care transitions intervention at six hospitals in a non-integrated health care system. Despite logistical challenges, the intervention successfully reduced readmissions by 36% in patients who received it compared with patients who did not receive any component of the intervention. As hospitals continue to investigate ways of preventing readmissions and reducing adverse events after discharge, this study provides reinforcement for comprehensive interventions that attempt to bridge the gap between inpatient and outpatient care.
Young JQ, Ranji SR, Wachter RM, et al. Ann Intern Med. 2011;155:309-15.
The beginning of residency training for new interns has long been rumored to result in preventable harm for patients, a phenomenon known as the "July Effect" in the US and by the more macabre term "August killing season" in the UK. However, prior studies have reached conflicting conclusions about whether the "July Effect" truly exists. This systematic review of 39 studies provides the first comprehensive evidence that being hospitalized in July may actually be harmful, as a subset of larger and higher quality studies did find that mortality increased and efficiency of care decreased in association with new residents assuming their duties. Unfortunately, most studies included in the review had methodological flaws, meaning that the exact degree of harm could not be quantified.
Callen J, Georgiou A, Li J, et al. BMJ Qual Saf. 2011;20:194-199.
Adverse events after hospital discharge are a growing driver for safety interventions, including a focus on readmissions, adverse drug events, and hospital-acquired infections. Another safety area ripe for intervention is managing test results after hospital discharge. This systematic review analyzed 12 studies and found wide variation in rates of test follow-up and related management systems. Critical test results and results for patients moving across health care settings were highlighted as particularly concerning areas that could be addressed with better clinical information systems. A past AHRQ WebM&M commentary discussed a case where a patient was incorrectly treated based on failure to follow up a urine culture after hospital discharge.
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