Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19

BACKGROUND

The COVID-19 pandemic required clinicians to care for a disease with evolving characteristics while also adhering to care changes (e.g., physical distancing practices) that might lead to diagnostic errors (DEs).

OBJECTIVE

To determine the frequency of DEs and their causes among patients hospitalized under investigation (PUI) for COVID-19.

DESIGN

Retrospective cohort.

SETTING

Eight medical centers affiliated with the Hospital Medicine ReEngineering Network (HOMERuN).

TARGET POPULATION

Adults hospitalized under investigation (PUI) for COVID-19 infection between February and July 2020.

MEASUREMENTS

We randomly selected up to 8 cases per site per month for review, with each case reviewed by two clinicians to determine whether a DE (defined as a missed or delayed diagnosis) occurred, and whether any diagnostic process faults took place. We used bivariable statistics to compare patients with and without DE and multivariable models to determine which process faults or patient factors were associated with DEs.

RESULTS

Two hundred and fifty-seven patient charts underwent review, of which 36 (14%) had a diagnostic error. Patients with and without DE were statistically similar in terms of socioeconomic factors, comorbidities, risk factors for COVID-19, and COVID-19 test turnaround time and eventual positivity. Most common diagnostic process faults contributing to DE were problems with clinical assessment, testing choices, history taking, and physical examination (all p < 0.01). Diagnostic process faults associated with policies and procedures related to COVID-19 were not associated with DE risk. Fourteen patients (35.9% of patients with errors and 5.4% overall) suffered harm or death due to diagnostic error.

LIMITATIONS

Results are limited by available documentation and do not capture communication between providers and patients.

CONCLUSION

Among PUI patients, DEs were common and not associated with pandemic-related care changes, suggesting the importance of more general diagnostic process gaps in error propagation.

Use, Perceived Usability, and Barriers to Implementation of a Patient Safety Dashboard Integrated within a Vendor EHR

BACKGROUND

Preventable adverse events continue to be a threat to hospitalized patients. Clinical decision support in the form of dashboards may improve compliance with evidence-based safety practices. However, limited research describes providers' experiences with dashboards integrated into vendor electronic health record (EHR) systems.

OBJECTIVE

This study was aimed to describe providers' use and perceived usability of the Patient Safety Dashboard and discuss barriers and facilitators to implementation.

METHODS

The Patient Safety Dashboard was implemented in a cluster-randomized stepped wedge trial on 12 units in neurology, oncology, and general medicine services over an 18-month period. Use of the Dashboard was tracked during the implementation period and analyzed in-depth for two 1-week periods to gather a detailed representation of use. Providers' perceptions of tool usability were measured using the Health Information Technology Usability Evaluation Scale (rated 1-5). Research assistants conducted field observations throughout the duration of the study to describe use and provide insight into tool adoption.

RESULTS

The Dashboard was used 70% of days the tool was available, with use varying by role, service, and time of day. On general medicine units, nurses logged in throughout the day, with many logins occurring during morning rounds, when not rounding with the care team. Prescribers logged in typically before and after morning rounds. On neurology units, physician assistants accounted for most logins, accessing the Dashboard during daily brief interdisciplinary rounding sessions. Use on oncology units was rare. Satisfaction with the tool was highest for perceived ease of use, with attendings giving the highest rating (4.23). The overall lowest rating was for quality of work life, with nurses rating the tool lowest (2.88).

CONCLUSION

This mixed methods analysis provides insight into the use and usability of a dashboard tool integrated within a vendor EHR and can guide future improvements and more successful implementation of these types of tools.

Brain MRS glutamine as a biomarker to guide therapy of hyperammonemic coma

Acute idiopathic hyperammonemia in an adult patient is a life-threatening condition often resulting in a rapid progression to irreversible cerebral edema and death. While ammonia-scavenging therapies lower blood ammonia levels, in comparison, clearance of waste nitrogen from the brain may be delayed. Therefore, we used magnetic resonance spectroscopy (MRS) to monitor cerebral glutamine levels, the major reservoir of ammonia, in a gastric bypass patient with hyperammonemic coma undergoing therapy with N-carbamoyl glutamate and the ammonia-scavenging agents, sodium phenylacetate and sodium benzoate. Improvement in mental status mirrored brain glutamine levels, as coma persisted for 48h after plasma ammonia normalized. We hypothesize that the slower clearance for brain glutamine levels accounts for the delay in improvement following initiation of treatment in cases of chronic hyperammonemia. We propose MRS to monitor brain glutamine as a noninvasive approach to be utilized for diagnostic and therapeutic monitoring purposes in adult patients presenting with idiopathic hyperammonemia.

Effect of Evidence-based Clinical Decision Support on the Use and Yield of CT Pulmonary Angiographic Imaging in Hospitalized Patients

PURPOSE

To determine the effect of clinical decision support (CDS) on the use and yield of inpatient computed tomographic (CT) pulmonary angiography for acute pulmonary embolism (PE).

MATERIALS AND METHODS

This HIPAA-compliant, institutional review board-approved study with waiver of informed consent included all adults admitted to a 793-bed teaching hospital from April 1, 2007, to June 30, 2012. The CDS intervention, implemented after a baseline observation period, informed providers who placed an order for CT pulmonary angiographic imaging about the pretest probability of the study based on a validated decision rule. Use of CT pulmonary angiographic and admission data from administrative databases was obtained for this study. By using a validated natural language processing algorithm on radiology reports, each CT pulmonary angiographic examination was classified as positive or negative for acute PE. Primary outcome measure was monthly use of CT pulmonary angiography per 1000 admissions. Secondary outcome was CT pulmonary angiography yield (percentage of CT pulmonary angiographic examinations that were positive for acute PE). Linear trend analysis was used to assess for effect and trend differences in use and yield of CT pulmonary angiographic imaging before and after CDS.

RESULTS

In 272 374 admissions over the study period, 5287 patients underwent 5892 CT pulmonary angiographic examinations. A 12.3% decrease in monthly use of CT pulmonary angiography (26.0 to 22.8 CT pulmonary angiographic examinations per 1000 admissions before and after CDS, respectively; P = .008) observed 1 month after CDS implementation was sustained over the ensuing 32-month period. There was a nonsignificant 16.3% increase in monthly yield of CT pulmonary angiography or percentage of CT pulmonary angiographic examinations positive for acute PE after CDS (P = .65).

CONCLUSION

Implementation of evidence-based CDS for inpatients was associated with a 12.3% immediate and sustained decrease in use of CT pulmonary angiographic examinations in the evaluation of inpatients for acute PE. for this article.

Evaluating hematuria: impact of guideline adherence on urologic cancer diagnosis

PURPOSE

The purpose of this study was to assess physician adherence to 2001 American Urological Association (AUA) guidelines for evaluating patients with asymptomatic hematuria and its impact on the diagnosis of urologic cancer.

METHODS

In this institutional review board-approved retrospective study of patients with asymptomatic hematuria evaluated in a large academic health center in 2004 (allowing for long-term follow-up), we randomly selected 100 of 1771 patients with asymptomatic hematuria (52 men; mean age 54 years; 58 microscopic, 39 macroscopic, three unknown-type hematuria; median follow-up 89 months, interquartile range 33-97 months). Multivariate logistic regression assessed effects of age, sex, hematuria type, and physician specialty on guideline adherence, the primary outcome. Secondary outcome measures were variability in evaluation among physician specialists, and the proportion of patients developing urologic cancer.

RESULTS

Only 36 of 100 patients had a guideline-adherent evaluation, of which 5 were diagnosed with urologic cancer (median 1 month, range 0-11). No urologic cancers were diagnosed in 64 patients with nonadherent evaluations. Only evaluation by a urologist significantly predicted guideline adherence (P <.0001). Patients with gross hematuria more often underwent intravenous or computed tomography urography (P = .009); urologist evaluation more often led to intravenous or computed tomography urography (P <.0001), cystoscopy (P <.0001), cytology (P = .009), and guideline-adherent evaluation (P <.0001).

CONCLUSIONS

Although most physicians did not adhere to 2001 AUA guidelines when evaluating patients with asymptomatic hematuria, no urologic cancers were diagnosed in patients without guideline-adherent evaluation, barring the possibility of occult cancers. Evaluation by a urologist was the only predictor of a guideline-adherent evaluation. Future studies are needed to determine the optimal evaluation of patients with asymptomatic hematuria.

Impact of IT-enabled intervention on MRI use for back pain

BACKGROUND

The purpose of this study was to examine the impact of a multifaceted, clinical decision support (CDS)-enabled intervention on magnetic resonance imaging (MRI) use in adult primary care patients with low back pain.

METHODS

After a baseline observation period, we implemented a CDS targeting lumbar-spine MRI use in primary care patients with low back pain through our computerized physician order entry, as well as 2 accountability tools: mandatory peer-to-peer consultation when test utility was uncertain and quarterly practice pattern variation reports to providers. Our primary outcome measure was rate of lumbar-spine MRI use. Secondary measures included utilization of MRI of any body part, comparing it with that of a concurrent national comparison, as well as proportion of lumbar-spine MRI performed in the study cohort that was adherent to evidence-based guideline. Chi-squared, t-tests, and logistic regression were used to assess pre- and postintervention differences.

RESULTS

In the study cohort preintervention, 5.3% of low back pain-related primary care visits resulted in lumbar-spine MRI, compared with 3.7% of visits postintervention (P <.0001, adjusted odds ratio 0.68). There was a 30.8% relative decrease (6.5% vs 4.5%, P <.0001, adjusted odds ratio 0.67) in the use of MRI of any body part by the primary care providers in the study cohort. This difference was not detected in the control cohort (5.6% vs 5.3%, P = .712). In the study cohort, adherence to evidence-based guideline in the use of lumbar-spine MRI increased from 78% to 96% (P = .0002).

CONCLUSIONS

CDS and associated accountability tools may reduce potentially inappropriate imaging in patients with low back pain.

Critical finding capture in the impression section of radiology reports

INTRODUCTION

Radiology reports communicate imaging findings to ordering physicians. The substantial information in these reports often causes physicians to focus on the summarized "impression" section. This study evaluated how often a critical finding is documented in the report's "impression" section and describes how an automated application can improve documentation.

METHODS

A retrospective review of all chest CT scan reports finalized between October, 2009 and September, 2010 at an academic institution was performed. A natural language processing application was utilized to evaluate the frequency of reporting a pulmonary nodule in the "impression" section, versus the "findings" section of a report.

RESULTS

Results showed 3,401 reports with documented pulmonary nodules in the "findings" section, compared to 2,162 in the "impression" section - a 36.4% difference.

CONCLUSION

The study revealed significant discrepant documentation in the "findings" versus "impression" sections. Automated systems could improve such critical findings documentation and communication between ordering physicians and radiologists.