Retrospective cohort study of wrong-patient imaging order errors: how many reach the patient?

Studying near-miss errors is essential to preventing errors from reaching patients. When an error is committed, it may be intercepted (near-miss) or it will reach the patient; estimates of the proportion that reach the patient vary widely. To better understand this relationship, we conducted a retrospective cohort study using two objective measures to identify wrong-patient imaging order errors involving radiation, estimating the proportion of errors that are intercepted and those that reach the patient. This study was conducted at a large integrated healthcare system using data from 1 January to 31 December 2019. The study used two outcome measures of wrong-patient orders: (1) wrong-patient orders that led to misadministration of radiation reported to the New York Patient Occurrence Reporting and Tracking System (NYPORTS) (misadministration events); and (2) wrong-patient orders identified by the Wrong-Patient Retract-and-Reorder (RAR) measure, a measure identifying orders placed for a patient, retracted and rapidly reordered by the same clinician on a different patient (near-miss events). All imaging orders that involved radiation were extracted retrospectively from the healthcare system data warehouse. Among 293 039 total eligible orders, 151 were wrong-patient orders (3 misadministration events, 148 near-miss events), for an overall rate of 51.5 per 100 000 imaging orders involving radiation placed on the wrong patient. Of all wrong-patient imaging order errors, 2% reached the patient, translating to 50 near-miss events for every 1 error that reached the patient. This proportion provides a more accurate and reliable estimate and reinforces the utility of systematic measure of near-miss errors as an outcome for preventative interventions.

Effect of restricting electronic health records on clinician efficiency: substudy of a randomized clinical trial.

A prior randomized controlled trial (RCT) showed no significant difference in wrong-patient errors between clinicians assigned to a restricted electronic health record (EHR) configuration (limiting to 1 record open at a time) versus an unrestricted EHR configuration (allowing up to 4 records open concurrently). However, it is unknown whether an unrestricted EHR configuration is more efficient. This substudy of the RCT compared clinician efficiency between EHR configurations using objective measures. All clinicians who logged onto the EHR during the substudy period were included. The primary outcome measure of efficiency was total active minutes per day. Counts were extracted from audit log data, and mixed-effects negative binomial regression was performed to determine differences between randomized groups. Incidence rate ratios (IRRs) were calculated with 95% confidence intervals (CIs). Among a total of 2556 clinicians, there was no significant difference between unrestricted and restricted groups in total active minutes per day (115.1 vs 113.3 min, respectively; IRR, 0.99; 95% CI, 0.93-1.06), overall or by clinician type and practice area.

Observation and Patients' Perceptions of Incorporating Their Photograph Into the Electronic Health Record.

OBJECTIVES: Wrong-patient errors are common and have the potential to cause serious harm. The Office of the National Coordinator for Health Information Technology Patient Identification SAFER Guide recommends displaying patient photographs in electronic health record (EHR) systems to facilitate patient identification and reduce wrong-patient errors. A potential barrier to implementation is patient refusal; however, patients' perceptions about having their photograph captured during registration and integrated into the EHR are unknown. METHODS: The study was conducted in an emergency department (ED) and primary care outpatient clinic within a large integrated health system in New York City. The study consisted of 2 components: (1) direct observation of the registration process to quantify the frequency of patient refusals and (2) semistructured interviews to elicit patients' feedback on perceived benefits and barriers to integrating their photograph into the EHR. RESULTS: Of 172 registrations where patients were asked to take a photograph for patient identification, 0 refusals were observed (ED, 0 of 87; primary care outpatient clinic, 0 of 85). A convenience sample of 30 patients were interviewed (female, 70%; age ≥55 years, 43%; Hispanic/Latino, 67%; Black, 23%). Perceived benefits of integrating patient photographs into the EHR included improved security (40%), improved patient identification (23%), and ease of registration (17%). A small proportion of patients raised privacy concerns. CONCLUSIONS: Patient refusal was not found to be a barrier to implementation of patient photographs in the EHR. Efforts to identify and address other potential barriers would help ensure that the highest proportion of patients has photographs in their medical record.

"What's in a name?" Identification of newborn infants at birth using their given names.

OBJECTIVE: To determine the proportion of pregnant women who selected names for their babies to be born and were willing to disclose them for use in hospital systems, thereby potentially reducing infant identification errors. STUDY DESIGN: Survey of pregnant women admitted to postpartum or antepartum units at a large academic hospital. Descriptive analyses were conducted to determine the proportion who had chosen names prior to delivery. Chi-square tests and calculated odds ratios assessed the association with demographic and pregnancy factors. RESULTS: Of postpartum participants, 79.0% had names for their newborns at birth. This proportion was significantly lower in self-identified non-Hispanic, white, and married women. Of antepartum participants, 65.7% had selected a name at the time of survey. CONCLUSION: Most participants had names chosen for use at birth. This finding was consistent across demographic and pregnancy characteristics, supporting the feasibility of using given names for newborns in hospital systems at birth.

Indication alerts to improve problem list documentation.

BACKGROUND: Problem lists represent an integral component of high-quality care. However, they are often inaccurate and incomplete. We studied the effects of alerts integrated into the inpatient and outpatient computerized provider order entry systems to assist in adding problems to the problem list when ordering medications that lacked a corresponding indication. METHODS: We analyzed medication orders from 2 healthcare systems that used an innovative indication alert. We collected data at site 1 between December 2018 and January 2020, and at site 2 between May and June 2021. We reviewed random samples of 100 charts from each site that had problems added in response to the alert. Outcomes were: (1) alert yield, the proportion of triggered alerts that led to a problem added and (2) problem accuracy, the proportion of problems placed that were accurate by chart review. RESULTS: Alerts were triggered 131 134, and 6178 times at sites 1 and 2, respectively, resulting in a yield of 109 055 (83.2%) and 2874 (46.5%), P< .001. Orders were abandoned, for example, not completed, in 11.1% and 9.6% of orders, respectively, P<.001. Of the 100 sample problems, reviewers deemed 88% ± 3% and 91% ± 3% to be accurate, respectively, P = .65, with a mean of 90% ± 2%. CONCLUSIONS: Indication alerts triggered by medication orders initiated in the absence of a justifying diagnosis were useful for populating problem lists, with yields of 83.2% and 46.5% at 2 healthcare systems. Problems were placed with a reasonable level of accuracy, with 90% ± 2% of problems deemed accurate based on chart review.

Wrong-Patient Orders in Obstetrics.

OBJECTIVE: To compare rates of wrong-patient orders among patients on obstetric units compared with reproductive-aged women admitted to medical-surgical units. METHODS: This was an observational study conducted in a large health system in New York between January 1, 2016, and December 31, 2018. The primary outcome was near-miss wrong-patient orders identified using the National Quality Forum-endorsed Wrong-Patient Retract-and-Reorder measure. All electronic orders placed for eligible patients during the study period were extracted retrospectively from the health system data warehouse, and the unit of analysis was the order session (consecutive orders placed by a single clinician for a patient within 60 minutes). Multilevel logistic regression models were used to estimate odds ratios (ORs) and 95% CIs comparing the probability of retract-and-reorder events in obstetric and medical-surgical units, overall, and in subgroups defined by clinician type and order timing. RESULTS: Overall, 1,329,463 order sessions were placed during the study period, including 676,643 obstetric order sessions (from 45,436 patients) and 652,820 medical-surgical order sessions (from 12,915 patients). The rate of 79.5 retract-and-reorder events per 100,000 order sessions in obstetric units was significantly higher than the rate in the general medical-surgical population of 42.3 per 100,000 order sessions (OR 1.98, 95% CI 1.64-2.39). The obstetric retract-and-reorder event rate was significantly higher for attending physicians and house staff compared with advanced practice clinicians. There were no significant differences in error rates between day and night shifts. CONCLUSION: Order errors occurred more frequently on obstetric units compared with medical-surgical units. Systems strategies shown to decrease these events in other high-risk specialties should be explored in obstetrics to render safer maternity care.

Polypharmacy in Older Adults Hospitalized for Heart Failure.

BACKGROUND: Despite potential harm that can result from polypharmacy, real-world data on polypharmacy in the setting of heart failure (HF) are limited. We sought to address this knowledge gap by studying older adults hospitalized for HF derived from the REGARDS study (Reasons for Geographic and Racial Differences in Stroke). METHODS: We examined 558 older adults aged ≥65 years with adjudicated HF hospitalizations from 380 hospitals across the United States. We collected and examined data from the REGARDS baseline assessment, medical charts from HF-adjudicated hospitalizations, the American Hospital Association annual survey database, and Medicare's Hospital Compare website. We counted the number of medications taken at hospital admission and discharge; and classified each medication as HF-related, non-HF cardiovascular-related, or noncardiovascular-related. RESULTS: The vast majority of participants (84% at admission and 95% at discharge) took ≥5 medications; and 42% at admission and 55% at discharge took ≥10 medications. The prevalence of taking ≥10 medications (polypharmacy) increased over the study period. As the number of total medications increased, the number of noncardiovascular medications increased more rapidly than the number of HF-related or non-HF cardiovascular medications. CONCLUSIONS: Defining polypharmacy as taking ≥10 medications might be more ideal in the HF population as most patients already take ≥5 medications. Polypharmacy is common both at admission and hospital discharge, and its prevalence is rising over time. The majority of medications taken by older adults with HF are noncardiovascular medications. There is a need to develop strategies that can mitigate the negative effects of polypharmacy among older adults with HF.

Incident Reports of Naming Errors among Two Sets of Infant Twins.

Newborns are at high risk for identification errors due to their inability to speak and indistinguishable features. To reduce this risk, The Joint Commission requires hospitals to use a distinct identification method for newborns. Most hospitals create medical records for newborns at birth using temporary naming conventions, resulting in patients with similar identifiers. Typically, multiple-birth infants are distinguished from their siblings by a single character (1, 2, or A, B), placing them at higher risk for identification errors, which can delay care and compromise patient safety. METHODS: We present 2 unrelated cases involving naming errors in sets of infant twins receiving care in a healthcare system using Joint Commission compliant distinct temporary naming convention. RESULTS: In the 2 cases, system failures contributed to naming errors in 2 sets of infant twins, which resulted in delayed care. In the first case, twins were inadvertently assigned the same temporary name. In the second case, an infant's blood specimen label did not include a single character, which distinguishes a multiple-birth infant from their sibling. Further safeguards are needed to reduce this risk. These cases illustrated the potential for misidentification related to newborn naming conventions during the registration process, especially between siblings of multiple-birth infants. CONCLUSIONS: Further research is needed to determine strategies to prevent newborn identification errors. Potential strategies to reduce this risk and protect newborns include improving the design of newborn identifiers, systems-level interventions such as verification alerts, and improved registration processes.

Prescribing Patterns of Heart Failure-Exacerbating Medications Following a Heart Failure Hospitalization.

OBJECTIVES: This study sought to describe the patterns of heart failure (HF)-exacerbating medications used among older adults hospitalized for HF and to examine determinants of HF-exacerbating medication use. BACKGROUND: HF-exacerbating medications can potentially contribute to adverse outcomes and could represent an important target for future strategies to improve post-hospitalization outcomes. METHODS: Medicare beneficiaries ≥65 years of age with an adjudicated HF hospitalization between 2003 and 2014 were derived from the geographically diverse REGARDS (Reasons for Geographic and Racial Difference in Stroke) cohort study. Major HF-exacerbating medications, defined as those listed on the 2016 American Heart Association Scientific Statement listing medications that can precipitate or induce HF, were examined. Patterns of prescribing medications at hospital admission and at discharge were examined, as well as changes that occurred between admission and discharge; and a multivariable logistic regression analysis was conducted to identify determinants of harmful prescribing practices following HF hospitalization (defined as either the continuation of an HF-exacerbating medications or an increase in the number of HF-exacerbating medications between hospital admission and discharge). RESULTS: Among 558 unique individuals, 18% experienced a decrease in the number of HF-exacerbating medications between admission and discharge, 19% remained at the same number, and 12% experienced an increase. Multivariable logistic regression analysis revealed that diabetes (odds ratio [OR]: 1.80; 95% confidence interval [CI]: 1.18 to 2.75]) and small hospital size (OR: 1.93; 95% CI: 1.18 to 3.16) were the strongest, independently associated determinants of harmful prescribing practices. CONCLUSIONS: HF-exacerbating medication regimens are often continued or started following an HF hospitalization. These findings highlight an ongoing need to develop strategies to improve safe prescribing practices in this vulnerable population.

Indications for ß-Blocker Prescriptions in Heart Failure with Preserved Ejection Fraction.

OBJECTIVES: To better understand indications for ß-blocker (BB) prescriptions among older adults hospitalized with heart failure with preserved ejection fraction (HFpEF). DESIGN/SETTING: Retrospective observational study of hospitalizations derived from the geographically diverse Reasons for Geographic and Racial Differences in Stroke cohort. PARTICIPANTS: We examined Medicare beneficiaries aged 65 years or older with an expert-adjudicated hospitalization for HFpEF (left ventricular ejection fraction = 50% or greater). MEASUREMENTS: Discharge medications and indications for BBs were abstracted from medical records. RESULTS: Of 306 hospitalizations for HFpEF, BBs were prescribed at discharge in 68%. Among hospitalizations resulting in BB prescriptions, 60% had a compelling indication for BB-44% had arrhythmias, and 29% had myocardial infarction (MI) history. Among the 40% with neither indication, 57% had coronary artery disease (CAD) without MI and 38% had hypertension alone (without arrhythmia, MI, or CAD), both clinical scenarios with little supportive evidence of benefit of BBs. Among hospitalizations resulting in BB prescription at discharge, 69% had geriatric conditions (functional limitation, cognitive impairment, hypoalbuminemia, or history of falls). There were no significant differences in the prevalence of geriatric conditions between hospitalizations of individuals with compelling indications for BBs and hospitalizations of individuals with noncompelling indications. CONCLUSIONS: BBs are commonly prescribed following a hospitalization for HFpEF, even in the absence of compelling indications. This occurs even for hospitalizations of individuals with geriatric conditions, a subpopulation who may be at elevated risk for experiencing harm from BBs.

Prevalence and determinants of Hyperpolypharmacy in adults with heart failure: an observational study from the National Health and Nutrition Examination Survey (NHANES).

BACKGROUND: While an expanding armamentarium of pharmacologic therapies has contributed to improved outcomes among adults with heart failure (HF) over the past two decades, this has also been accompanied by an increase in the number of medications taken by adults with HF. The use of at least 10 medications, defined as hyperpolypharmacy, is particularly notable given its association with adverse outcomes. We aimed to assess the prevalence and identify determinants of hyperpolypharmacy among adults with HF. METHODS: We studied adults aged ≥50 years with self-reported HF from the National Health And Nutrition Examination Survey (NHANES) in 2003-2014. We calculated weighted means and percentages to describe patient characteristics. We conducted a multivariable Poisson regression analysis to identify factors independently associated with hyperpolypharmacy; we adjusted for survey sampling, socio-demographics, comorbidity, geriatric conditions, and health care utilization. We examined 947 participants, representing 4.6 million adults with HF. RESULTS: The prevalence of hyperpolypharmacy was 26%. In a multivariable regression analysis, comorbidity count, ≥10 ambulatory contacts, and ≥ 3 hospitalizations were independently associated with hyperpolypharmacy. Interestingly, functional impairment and cognitive impairment were not independently associated with hyperpolypharmacy; while low annual household income and low educational status were each associated with an almost 2-fold increase in hyperpolypharmacy. CONCLUSION: Hyperpolypharmacy is a common condition among adults with HF. We additionally found that low household income and low educational status are independently associated with hyperpolypharmacy, suggesting that non-medical factors may be contributing to this potentially harmful condition.

Association Between Functional Impairment and Medication Burden in Adults with Heart Failure.

OBJECTIVES: To determine whether the number of medications taken by adults with heart failure (HF) and impairment in activities of daily living (ADL)-a subpopulation in whom the risks of a high medication burden may outweigh the benefits-differs from the number taken by those without impairment in ADLs. DESIGN: Cross-sectional. SETTING: National Health and Nutrition Examination Survey (NHANES; 2003-2014), a cross-sectional survey that produces national estimates of adults in the United States. PARTICIPANTS: Adults aged 50 and older (mean 70) with self-reported HF (N= 947; representing 4.6 million adults with HF in the United States. MEASURMENTS: We assessed ADL impairment and medication count based on self-report. ADL impairment was defined as having difficulty with or being unable to dress, feed oneself, or get in and out of bed. To determine the independent association between ADL impairment and medication count, we performed sequential Poisson multivariable regression analyses. All analyses were cross-sectional in nature and accounted for the complex survey design of NHANES. RESULTS: Mean medication count was 7.2, and 74% of participants were taking 5 or more medications (polypharmacy). In a multivariable model, ADL impairment was not independently associated with medication count. These findings were similar for those with 3 or more hospitalizations in the prior year, declining health status, and cognitive impairment. CONCLUSION: After adjusting for confounders including comorbidity, we found that adults with HF and ADL impairment take as many medications as those without ADL impairment. This suggests that providers may not sufficiently consider functional impairment when prescribing medications to adults with HF and thus may unnecessarily expose individuals to risk of adverse outcomes. J Am Geriatr Soc 67:284-291, 2019.

Enhancing the diagnostic performance of troponins in the acute care setting.

BACKGROUND: Current guidelines define cardiac troponin I (TnI) as an indicator of necrosis when the concentration exceeds the 99% upper limit of a healthy reference population, a reference value near the assay's lowest detectable level. We assessed the utility of a modified TnI cutoff point derived from a population at low risk for coronary artery disease (CAD) and evaluated its utility in determining acute myocardial infarction (MI). METHODS: A modified TnI cutoff point was derived by the receiver operating characteristic (ROC) curve from 737 consecutive patients who underwent serial TnI measurements for exclusion of MI. Creatinine kinase isoenzyme MB (CK-MB) evolutionary change was used to define MI. The new derived cutoff point was validated using another subset of 320 patients who were evaluated for MI. RESULTS: ROC-derived TnI cutoff point (A) was 0.65 µg/L, and its performance was compared to the recommended cutoff point ([B] 0.15 µg/L). Cutoff point A had greater specificity (94.5% vs. 86.9%, p < 0.001) but slightly lower sensitivity (96.5% vs. 100%, p < 0.01). Cutoff point A provided significantly greater positive predictive value (PPV) for MI (74.1% vs. 55.5%, p < 0.0001) and fewer false-positive errors, while preserving comparable negative predictive value (NPV) (98.9% vs. 100%). CONCLUSION: A higher cutoff point derived from a reference population of patients at low risk for CAD may improve the TnI performance assay. The PPV for diagnosis of MI was significantly higher and false-positive values were fewer without affecting the NPV. The more reliable diagnosis of MI may have resulted, which, in turn, may have significant clinical and economic implications.

A model for automated screening of thalassemia in hematology (math study).

BACKGROUND: beta-thalassemia screening is primarily limited to pregnant women. The ratio of the mean corpuscular volume (MCV) and red blood cell count (RBC) can be automatically calculated with any of the newer hematology analyzers. METHODS: The results of 398 patient screens were collected. Data from the set were divided into training and validation subsets. The Mentzer ratio was determined through a receiver operating characteristic (ROC) curve on the first subset, and screened for thalassemia using the second subset. HgbA2 levels were used to confirm beta-thalassemia. RESULTS: We determined the correct decision point of the Mentzer index to be a ratio of 20. Physicians can screen patients using this index before further evaluation for beta-thalassemia (P < .05). CONCLUSION: The proposed method can be implemented by hospitals and laboratories to flag positive matches for further definitive evaluation, and will enable beta-thalassemia screening of a much larger population at little to no additional cost.