Publications by authors named "Bejoy Chacko"

3 Publications

  • Page 1 of 1

Risk of Wrong-Patient Orders Among Multiple vs Singleton Births in the Neonatal Intensive Care Units of 2 Integrated Health Care Systems.

JAMA Pediatr 2019 Aug 26. Epub 2019 Aug 26.

Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Importance: Multiple-birth infants in neonatal intensive care units (NICUs) have nearly identical patient identifiers and may be at greater risk of wrong-patient order errors compared with singleton-birth infants.

Objectives: To assess the risk of wrong-patient orders among multiple-birth infants and singletons receiving care in the NICU and to examine the proportion of wrong-patient orders between multiple-birth infants and siblings (intrafamilial errors) and between multiple-birth infants and nonsiblings (extrafamilial errors).

Design, Setting, And Participants: A retrospective cohort study was conducted in 6 NICUs of 2 large, integrated health care systems in New York City that used distinct temporary names for newborns per the requirements of The Joint Commission. Data were collected from 4 NICUs at New York-Presbyterian Hospital from January 1, 2012, to December 31, 2015, and 2 NICUs at Montefiore Health System from July 1, 2013, to June 30, 2015. Data were analyzed from May 1, 2017, to December 31, 2017. All infants in the 6 NICUs for whom electronic orders were placed during the study periods were included.

Main Outcomes And Measures: Wrong-patient electronic orders were identified using the Wrong-Patient Retract-and-Reorder (RAR) Measure. This measure was used to detect RAR events, which are defined as 1 or more orders placed for a patient that are retracted (ie, canceled) by the same clinician within 10 minutes, then reordered by the same clinician for a different patient within the next 10 minutes.

Results: A total of 10 819 infants were included: 85.5% were singleton-birth infants and 14.5% were multiple-birth infants (male, 55.8%; female, 44.2%). The overall wrong-patient order rate was significantly higher among multiple-birth infants than among singleton-birth infants (66.0 vs 41.7 RAR events per 100 000 orders, respectively; adjusted odds ratio, 1.75; 95% CI, 1.39-2.20; P < .001). The rate of extrafamilial RAR events among multiple-birth infants (36.1 per 100 000 orders) was similar to that of singleton-birth infants (41.7 per 100 000 orders). The excess risk among multiple-birth infants (29.9 per 100 000 orders) appears to be owing to intrafamilial RAR events. The risk increased as the number of siblings receiving care in the NICU increased; a wrong-patient order error occurred in 1 in 7 sets of twin births and in 1 in 3 sets of higher-order multiple births.

Conclusions And Relevance: This study suggests that multiple-birth status in the NICU is associated with significantly increased risk of wrong-patient orders compared with singleton-birth status. This excess risk appears to be owing to misidentification between siblings. These results suggest that a distinct naming convention as required by The Joint Commission may provide insufficient protection against identification errors among multiple-birth infants. Strategies to reduce this risk include using given names at birth, changing from temporary to given names when available, and encouraging parents to select names for multiple births before they are born when acceptable to families.
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August 2019

Evaluating Serial Strategies for Preventing Wrong-Patient Orders in the NICU.

Pediatrics 2017 May;139(5)

Division of Hospital Medicine.

Background: NICU patients have characteristics believed to increase their risk for wrong-patient errors; however, little is known about the frequency of wrong-patient errors in the NICU or about effective interventions for preventing these errors. We conducted a quality improvement study to evaluate the frequency of wrong-patient orders in the NICU and to assess the effectiveness of an ID reentry intervention and a distinct naming convention (eg, "Wendysgirl") for reducing these errors, using non-NICU pediatric units as a comparator.

Methods: Using a validated measure, we examined the rate of wrong-patient orders in NICU and non-NICU pediatric units during 3 periods: baseline (before implementing interventions), ID reentry intervention (reentry of patient identifiers before placing orders), and combined intervention (addition of a distinct naming convention for newborns).

Results: We reviewed >850 000 NICU orders and >3.5 million non-NICU pediatric orders during the 7-year study period. At baseline, wrong-patient orders were more frequent in NICU than in non-NICU pediatric units (117.2 vs 74.9 per 100 000 orders, respectively; odds ratio 1.56; 95% confidence interval, 1.34-1.82). The ID reentry intervention reduced the frequency of errors in the NICU to 60.2 per 100 000 (48.7% reduction; < .001). The combined ID reentry and distinct naming interventions yielded an additional decrease to 45.6 per 100 000 (61.1% reduction from baseline; < .001).

Conclusions: The risk of wrong-patient orders in the NICU was significantly higher than in non-NICU pediatric units. Implementation of a combined ID reentry intervention and distinct naming convention greatly reduced this risk.
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May 2017

Use of Temporary Names for Newborns and Associated Risks.

Pediatrics 2015 Aug 13;136(2):327-33. Epub 2015 Jul 13.

Albert Einstein College of Medicine, Bronx, New York; Montefiore Medical Center, Bronx, New York;

Background: Because there can be no delay in providing identification wristbands to newborns, some hospitals assign newborns temporary first names such as Babyboy or Babygirl. These nondistinct naming conventions result in a large number of patients with similar identifiers in NICUs. To determine the level of risk associated with nondistinct naming conventions, we performed an intervention study to evaluate if assigning distinct first names at birth would result in a reduction in wrong-patient errors.

Methods: We conducted a 2-year before/after implementation study to examine the effect of a distinct naming convention that incorporates the mother's first name into the newborn's first name (eg, Wendysgirl) on the incidence of wrong-patient errors. We used the Retract-and-Reorder (RAR) tool, an established, automated tool for detecting the outcome of wrong-patient electronic orders. The RAR tool identifies orders placed on a patient that are retracted within 10 minutes and then placed by the same clinician on a different patient within the next 10 minutes.

Results: The reduction in RAR events post- versus preintervention was 36.3%. After accounting for clusters of orders within order sessions, the odds ratio of an RAR event post- versus preintervention was 0.64 (95% confidence interval: 0.42-0.97).

Conclusions: The study results suggest that nondistinct naming conventions are associated with an increased risk of wrong-patient errors and that this risk can be mitigated by changing to a more distinct naming convention.
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August 2015