Utilizing Clinical Microsystems to Improve Mislabeled Specimen Occurrences in the Emergency Department.

INTRODUCTION: Mislabeled specimen collection in the emergency department has the potential to significantly harm patients. Studies suggest that improvement efforts can reduce specimen rejection from the laboratory and reduce mislabeled specimens in emergency departments and hospital-wide. METHODS: The clinical microsystems approach was used to understand the problem of mislabeled specimens in an emergency department that is part of a 133-bed community hospital in Pennsylvania. Plan-Do-Study-Act cycles were implemented with the help of a clinical microsystems coach. RESULTS: Significant reductions in mislabeled specimen collection were observed over the study period (P < .05). Sustainable improvements were achieved over the >3 years since the improvement initiative began in September 2019. DISCUSSION: Improving patient safety in complex clinical settings requires a systems approach. Using the established framework of clinical microsystems, along with a tenacious and persistent interdisciplinary team, helped create a reliable process for minimizing mislabeled specimens in the emergency department.

Examining the role of craving in affect regulation models of binge eating: Evidence from an ecological momentary assessment study.

Affect regulation models hypothesize that aversive affective states drive binge-eating behavior, which serves to regulate unpleasant emotions. Research using ecological momentary assessment (EMA) demonstrates that increases in guilt most strongly predict subsequent binge-eating episodes, raising the question: why would individuals with binge-eating pathology engage in a binge-eating episode when they feel guilty? Food craving is a robust predictor of binge eating and is commonly associated with subsequent feelings of guilt. The current study used EMA to test the hypothesis that food craving may promote increased feelings of guilt, which then predict an increased risk of binge eating within a sample of 109 individuals with binge-eating disorder. Multilevel mediation models indicated that increased momentary craving at Time 1 directly predicted a greater likelihood of binge eating at Time 2, and craving also indirectly predicted binge eating at Time 2 through momentary increases in guilt at Time 2. In other words, experiencing food craving at one time point was related to an increased likelihood of binge eating at the next time point, and a portion of this influence was attributable to increasing feelings of guilt. These results challenge simple affect regulation models of binge eating, suggesting that food-related anticipatory reward processes (i.e., craving) may be the primary driver of binge-eating risk and account for the increases in guilt commonly observed prior to binge-eating episodes. Although experimental studies are needed to confirm this possibility, these results suggest the importance of addressing food cravings within interventions for binge-eating disorder. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Associations Between Changes in Activity and Dietary Behaviors after Metabolic and Bariatric Surgery.

INTRODUCTION: Patients who undergo metabolic and bariatric surgery (MBS) are advised to make healthy activity and dietary changes. While previous research has examined post-surgical changes in activity and dietary behaviors separately, no study has assessed whether changes in these behaviors are beneficially associated with each other. We evaluated whether post-surgical improvements in activity behaviors related to favorable changes in dietary behaviors overall and by surgery type (Roux-en-Y gastric bypass [RYGB], sleeve gastrectomy [SG]). METHODS: At pre-surgery and 6- and 12-months post-surgery, participants (N = 97; 67 RYGB/30 SG) wore an accelerometer for 7 days and completed 24-h dietary assessments on 3 days. General linear models assessed associations between pre- to post-surgical changes in activity (moderate-to-vigorous physical intensity activity [MVPA], sedentary time [ST]) and dietary (total energy intake [EI; kcal/day], dietary quality [healthy eating index/HEI scores]) behaviors, with surgery type as a moderator. RESULTS: Participants on average: demonstrated small, non-significant post-surgical changes in MVPA and ST minutes/day (ps > .05); and reported significant post-surgical decreases in EI (p < .001), but no changes in HEI scores (ps > .25). Greater 12-month post-surgical increases in MVPA were significantly associated with greater decreases in EI, but only for RYGB participants (p < .001). DISCUSSION: Participants reported large decreases in EI, but made minimal changes in other behaviors after MBS. Results suggest greater increases in MVPA could assist with achieving greater decreases in EI, although this benefit appears to be limited to RYGB patients. Additional research is needed to confirm these findings and determine whether activity-dietary behavior associations differ beyond the immediate post-surgical year.

Quantifying the impact of patient boarding on emergency department length of stay: All admitted patients are negatively affected by boarding.

BACKGROUND: Patients boarding in the emergency department (ED) as a result of delays in bed placement are associated with increased morbidity and mortality. Prior literature on ED boarding does not explore the impact of boarding on patients admitted to the hospital from the ED. The objective of this study was to evaluate the impact of patient boarding on ED length of stay for all patients admitted to the hospital. METHODS: This was an institutional review board-approved, retrospective review of all patients from January 1, 2015, through June 30, 2019, presenting to 2 large EDs in a single health system in Pennsylvania. Quantile regression models were created to estimate the impact of patients boarding in the ED on length of stay for all ED patients admitted to the hospital. RESULTS: A total number of 466,449 ED encounters were analyzed across two EDs. At one ED, for every patient boarded, the median ED length of stay for all admitted patients increased by 14.0 minutes (P < 0.001). At the second ED, for every patient boarded in the ED, the median ED length of stay increased by 12.4 minutes (P < 0.001). CONCLUSION: ED boarding impacts length of stay for all patients admitted through the ED and not just those admitted patients who are boarded. This study provides an estimate for the increased ED length of stay experienced by all patients admitted to the hospital as a function of patient boarding.

Does Early Surgical Decompression in Cauda Equina Syndrome Improve Bladder Outcome?: Comments on a Recent Study by Srikandarajah et al.

STUDY DESIGN AND OBJECTIVES: This study by Srikandarajah et al is a retrospective cohort study of 200 CES patients. Although parts of the study appear to be well done we identified serious problems that impacted their conclusions. SUMMARY OF BACKGROUND DATA: There is strong consensus that patients with incomplete cauda equina syndrome (CESI) should be operated upon expeditiously to prevent progression to CES with urinary retention (CESR). There is controversy concerning optimal timing of surgery in patients who have entered CESR. Some studies conclude urgent surgery for CESR does nothing to improve chance of recovery; others conclude surgery should be done within a 48 or 24-hours window after onset of bladder paralysis. Srikandarajah et al concluded that in CESI patients, decompressive surgery within 24 hours of onset of autonomic symptoms reduces bladder dysfunction at follow-up. In CESR patients, "no statistically significant difference in outcome was observed" regarding timing of surgery. METHODS: We analyzed the methods used by Srikandarajah et al to collect and analyze their data. RESULTS: The primary problem with their study is that it does not consider deterioration to CESR that occurs in CESI patients over time. We also found serious problems with the methods, implementation (including numeric errors), and interpretation of the statistical analysis. CONCLUSION: The authors' conclusion that in CESR patients, "no statistically significant difference in outcome was observed" regarding timing of surgery is not justified as a representation of their findings, because absence of statistical significance does not mean acceptance of the null hypothesis of "no effect". Their numeric results do show elevated risk of delay. We do not want to detract from the basic importance of this study, because it emphasizes the importance of operating expeditiously on patients with CESI. However, the authors' conclusions are compromised by the methodological problems. LEVEL OF EVIDENCE: N/A.

ProvenCare perinatal: a model for delivering evidence/ guideline-based care for perinatal populations.

BACKGROUND: Geisinger Health System (GHS) has applied its ProvenCare model to demonstrate that a large integrated health care delivery system, enabled by an electronic health record (EHR), could reengineer a complicated clinical process, reduce unwarranted variation, and provide evidence-based care for patients with a specified clinical condition. In 2007 GHS began to apply the model to a more complicated, longer-term condition of "wellness"--perinatal care. ADAPTING PROVENCARE TO PERINATAL CARE: The ProvenCare Perinatal initiative was more complex than the five previous ProvenCare endeavors in terms of breadth, scope, and duration. Each of the 22 sites created a process flow map to depict the current, real-time process at each location. The local practice site providers-physicians and mid-level practitioners-reached consensus on 103 unique best practice measures (BPMs), which would be tracked for every patient. These maps were then used to create a single standardized pathway that included the BPMs but also preserved some unique care offerings that reflected the needs of the local context. RESULTS: A nine-phase methodology, expanded from the previous six-phase model, was implemented on schedule. Pre- to postimplementation improvement occurred for all seven BPMs or BPM bundles that were considered the most clinically relevant, with five statistically significant. In addition, the rate of primary cesarean sections decreased by 32%, and birth trauma remained unchanged as the number of vaginal births increased. CONCLUSIONS: Preliminary experience suggests that integrating evidence/guideline-based best practices into work flows in inpatient and outpatient settings can achieve improvements in daily patient care processes and outcomes.

Geisinger's ProvenCare methodology: driving performance improvement within a shared governance structure.

Many performance improvement projects fail because they occur in parallel to the organization's shared governance structure. Leveraging the full potential of its nursing shared governance structure, Geisinger Health System's ProvenCare methodology harnessed the full potential of its staff nurses to create truly reliable workflows that benefit patients and that the team finds professionally satisfying. Using ProvenCare Perinatal and its smoking cessation education intervention and outcomes as an example, the authors describe the ProvenCare methodology.

Clinical microsystems, Part 4. Building innovative population-specific mesosystems.

BACKGROUND: In 2005, the Geisinger Health System (Danville, Pennsylvania) developed ProvenCare, first applied to coronary artery bypass graft (CABG), as an innovative provider-driven quality improvement program to promote reliable delivery of evidence-based best practices. A new mesosystem is created for each ProvenCare model, integrating the care delivery process between contributing microsystems and defining new mesosystem leadership. The approach has been expanded to many patient populations, including percutaneous coronary intervention (PCI). A NEW PCI MESOSYSTEM: In 2007 clinical microsystem thinking was applied to PCI: understanding the current processes and patterns, assembling the frontline professionals to redesign the processes, and using a beta-test phase to measure the changes and adjust accordingly, until the best process was established. A new mesosystem team was created to ensure that the right care is delivered at the tight time. REFINING IMPLEMENTATION: In the course of developing the CABG initiative, Geisinger established role definitions to keep teams on track; a comprehensive plan from design through execution and follow-up; and guiding principles established for the teams engaged in designing, developing, and implementing ProvenCare programs. PRELIMINARY EXPERIENCE: For the 40 measurable process elements in the PCI mesosystem pathway, as of month seven (July 2008) of the beta-test phase, 55% of the patients received 100% of the identified process elements. CONCLUSION: Geisinger Health System has joined different microsystems to form an innovative mesosystem capable of producing reliable, evidence-based care for patient subpopulations. This approach to embedding evidence-based care into routine care delivery can be adapted by others.