Keywords error management and prevention - sociotechnical aspects of information technology
- cognition - clinical practice guideline - group B streptococcus
Group B streptococcus (GBS) is a Gram-positive bacterium that may colonize in women
during pregnancy and may cause early- or late-onset sepsis in neonates. It remains
the primary organism causing early-onset neonatal sepsis and is the leading infectious
cause of newborn morbidity and mortality in the United States.[1 ] As a result of widespread adoption of the Centers for Disease Control (CDC) treatment
and prevention guidelines, there has been a significant decline in the incidence of
GBS infected infants over the past 15 years. According to the CDC, the rate of early-onset
infections has declined from 1.7 cases per 1,000 live births in 1993, to 0.22 cases
per 1,000 live births in 2016.[2 ] At the time of our study in 2018, adherence to the CDC guidelines of universal screening
between 35 and 37 weeks of gestation for maternal GBS colonization, and treatment
with intrapartum antibiotic prophylaxis has produced a notable decrease in the burden
of early-onset GBS infections in newborns.[1 ] However, one of the largest epidemiologic studies on early-onset neonatal sepsis
reported that only 76% of GBS colonized mothers received antibiotic prophylaxis.[3 ] A GBS positive pregnant woman that receives GBS prophylaxis per CDC guidelines only
has a 0.25 in 1,000 chance of delivering a GBS infected infant and a 5 in 1,000 chance
if prophylaxis is not received per CDC guidelines.[4 ] Hence, untreated GBS positive pregnant women are 20 times more likely than treated
pregnant women to transmit the GBS bacteria to their infants. In addition to the challenges
of administering antibiotics to at-risk women to prevent early-onset neonatal sepsis,
concerns have been raised that overtreatment may lead to antibiotic resistance, or
an increase in late-onset neonatal infections.[5 ]
[6 ] While these studies identified several variables including individual clinician
errors correlated to GBS prophylaxis compliance and noncompliance, there has not yet
been a detailed analysis of the structural, cognitive, and behavioral factors that
lead to noncompliance.
Compliance to guidelines can be evaluated into components that identify exact errors
using a structural, cognitive, and behavioral analysis. Structural components influencing
compliance include the role of interoperability and usability of electronic health
records (EHRs). The final decision to order prophylactic antibiotics for GBS occurs
in the hospital on the labor and delivery unit, but in many environments the screening
for GBS has occurred in an outpatient clinic which may be using a different EHR. For
many health systems, data availability becomes a major issue and a system contributor
to possible compliance failure. Next, cognitive factors can be best understood by
examining the work of researchers on situational awareness. Endsley, working initially
in aviation environments, was the first to describe situational awareness as “a person's
perception of the elements in the environment within a volume of time and space, the
comprehension of their meaning, and the projection of their status in the near future.”[7 ] In recent years, situational awareness analysis has been applied to the health care
environment, including anesthesia,[8 ] pediatrics,[9 ] critical care,[8 ]
[10 ] labor and delivery units,[11 ] and primary care settings.[12 ] As related to GBS prophylaxis, situational awareness involves the correct perception
of a situation (the patient's GBS status), comprehension of the meaning of the situation
(whether this status and other risk factors indicate the need for GBS prophylaxis),
and, finally, a projection of the implications of the situation and what actions may
be necessary (ordering the antibiotic to reduce risk of early-onset neonatal sepsis).
Finally, behavioral components focus on the aspect of administering the correct antibiotics
and correct dose on time. Poon et al reported in a pre-/poststudy of barcoded medication
administration that timing errors occurred in 16.7% of all medications administered
before barcoded medications were implemented and 12.2% after implementation.[13 ] Timing of antibiotics is particularly challenging in patients in active labor, who
may have altered pharmacokinetic profiles due to pregnancy and labor may proceed with
unanticipated urgency.
GBS prophylaxis compliance is a complex, multistep process that has structural, cognitive,
and behavioral factors that inhibit guideline adherence. We hypothesized that lack
of accessibility to previously obtained GBS laboratory results (i.e., data accessibility
error) would be the most likely cause of GBS prophylaxis failure. Therefore, the objective
of this study was to develop a structural, cognitive, and behavioral model for error
analysis of GBS prophylaxis failure. We also sought to classify delivery cases into
this model and examine compliance and failures with CDC treatment guidelines.
Methods
A cross-sectional, cohort study was conducted at a single tertiary care institution
during a 1-month period. We included pregnant women from departmental electronic birth
logs who presented for delivery at gestational ages greater than 24 weeks. Women with
stillbirths were excluded.
Our focus hospital was part of a larger health care system. All facilities in the
system used the same EHR and data obtained at any site was visible to all other sites.
In the outpatient ambulatory setting, patients may have obtained their prenatal testing
from various outpatient laboratories, including the hospital system, in which case
the results from the hospital outpatient laboratory were visible on labor and delivery.
In some cases, other outpatient laboratory results could have been sent electronically
to the ambulatory EHR, and some reports were sent by facsimile machine and/or scanned
into the ambulatory EHR. The ambulatory EHR was available for remote viewing from
the hospital labor and delivery unit. The institutions each participated in the regional
health information exchange (HIE), and the HIE data are available to clinicians in
both institutions; however, microbiology results are not transmitted within the HIE.
We conducted an extensive chart review of the EHR including both the outpatient clinic
and inpatient hospital settings. Both settings used EHR systems with a dedicated maternity
component, but each from a different vendor. We collected both structured and unstructured
EHR data. Structured data included clinical information that could be extracted within
standard department reports and laboratory results. Unstructured data included manual
review of clinical documents, such as clinic notes, scanned documents, emergency department
provider notes, admission history and physicals, progress notes, and selected nursing
assessments.
We determined the pregnancy GBS status from (1) a rectal-vaginal culture for GBS within
5 weeks prior to delivery; (2) a positive urine culture of GBS with greater than 10,000
colony-forming units per milliliter during the pregnancy; or (3) nursing documentation
of “Transcribed GBS Status” based on a patient showing a hard copy result (e.g., prenatal
laboratory summaries) in their possession during labor and delivery triage. This patient-supplied
information is not retained by the hospital, and could not be analyzed as a possible
source of transcription error.
Antibiotic orders and medication administration events were reviewed for the correct
antibiotic, correct dose, and correct frequency in compliance with the CDC guidelines.
Medication administration timeliness was defined as administration within 1 hour before
or after scheduled time according to hospital policy. Finally, maternal demographics
and pregnancy outcomes were collected. Our structural-cognitive-behavioral model ([Fig. 1 ]) includes five components for adherence to GBS prophylaxis guidelines: data existence,
data accessibility, correct documentation, appropriate decision-making, and order
followed ([Table 1 ]). These five components are then classified into four distinct error stages: stage
1–data accessibility error, stage 2–perception error, stage 3–comprehension/decision
error, or stage 4–behavioral error ([Table 2 ]).
Fig. 1 Structural, cognitive, and behavioral model for error analysis of intrapartum antibiotic
prophylaxis (IAP) failure in group B streptococcus (GBS) prophylaxis guideline compliance.
Table 1
Structural, cognitive, and behavioral components defining the criteria of GBS prophylaxis
adherence
Criteria
Structural components
Did the data exist in an EHR?
Yes, if GBS vaginal/rectal screen, urine culture with GBS or transcribed GBS result
is present in clinic and/or hospital EHR prior to delivery date/time; or if present
GBS result is expired (i.e., > 5 weeks old—it becomes invalid, but data still exists)
No, if no results available
Was data accessible in the hospital EHR?
Yes, if GBS vaginal/rectal screen, urine culture with GBS or transcribed GBS result
is present in the hospital EHR prior to delivery date/time; or if present GBS result
is expired (i.e., > 5 weeks old—it becomes invalid, but data are still accessible)
No, if data did not exist, or data existed in clinic EHR, but not visible in hospital
EHR
Cognitive components
Was pregnancy GBS status documented correctly?
Yes, if pregnancy GBS status is accurately and consistently documented by physician
in hospital EHR note
No, if pregnancy GBS status is inaccurately documented by physician in hospital EHR
note
Was the decision to order or not order antibiotics appropriate?
Yes, if patient meets CDC criteria to treat (antibiotics indicated), and antibiotics
were ordered by physician; or if patient does not meet CDC criteria to treat (antibiotics
not indicated), and antibiotics were not ordered by physician
No, if patient meets CDC criteria to treat (antibiotics indicated), and antibiotics
were not ordered by physician; or if patient does not meet CDC criteria to treat (antibiotics
not indicated), and antibiotics were ordered by physician
Behavioral component
Was the order followed by the nurse?
Yes, if antibiotics were ordered by physician and the correct dose was administered
by nurse on time; or if antibiotics were not ordered by physician and not administered
by nurse
No, if antibiotics were ordered by physician and the correct dose was not administered
on time by nurse, or correct dose was administered late (> 1 hour); or if antibiotics
were not ordered by physician, but still administered by nurse
Abbreviations: CDC, Centers for Disease Control; EHR, electronic health record; GBS,
group B streptococcus.
Table 2
Structural, cognitive, and behavioral stages of errors in GBS prophylaxis adherence
Stage 1—Data accessibility error
Data exists in an EHR (clinic and/or hospital), but is not accessible by physician
in the EHR used in the hospital's labor and delivery unit
Stage 2—Perception error
Physician failed to accurately and consistently document the correct pregnancy GBS
status in progress notes. Documentation of pregnancy GBS status in progress notes
is being used as a proxy for evidence of perception
Stage 3—Comprehension/Decision error
a. IAP is indicated, but physician failed to order appropriate antibiotics (omission
error)
b. IAP is not indicated, but physician ordered appropriate antibiotics (commission
error)
Stage 4—Behavioral error
a. Physician ordered antibiotics, but antibiotics were not administered by nurse
(no treatment)
b. Physician ordered antibiotics, but loading dose of antibiotics were not administrated
(dosage undertreatment), or antibiotics were not administrated on time (timing undertreatment)
Abbreviations: EHR, electronic health record; GBS, group B streptococcus; IAP, intrapartum
antibiotic prophylaxis.
The structural component of the model included whether or not a GBS vaginal/rectal
culture result and/or a positive urine culture of GBS during the current pregnancy
were available in the respective EHRs (“data exists”). Next, we assessed whether these
results were available within the hospital EHR (“data is accessible”). If data existed
in the clinic EHR and was not visible in the hospital EHR, this was considered a stage
1 (data accessibility) error.
The cognitive component of the model focused on two aspects considered to be associated
with situational awareness. First, the physician's perception of the results and comprehension
of the significance of the patient's GBS status by ordering or not ordering antibiotics.
We used documentation of GBS status in the admission and progress notes as a proxy
for perception and assessed the accuracy and consistency of this documentation (“documented
correctly”). While we acknowledge that cognitive perception may certainly occur in
the absence of documentation, documentation is the only way in which we can confirm
the clinician's recognition. A failure of correct documentation is therefore a stage
2 (perception) error. Second, the assessment of whether or not antibiotics were ordered
correctly (“appropriate decision”) was made in regard to the retrospective determination
of the patient's GBS status and indication for GBS prophylaxis. We do split stage
3 (comprehension/decision) errors into subclass (1) omission, defined as GBS prophylaxis
is indicated, but an antibiotic was not ordered; and (2) commission defined as GBS
prophylaxis not indicated, but an antibiotic was ordered.
The behavior component of the model is whether the antibiotic orders were followed
correctly (“orders followed”) including the correct dose, correct frequency, and medication
administration timeliness. A failure to correctly follow the order is considered a
stage 4 (behavioral) error.
We completed a thorough analysis of each case to determine if the pregnancy had a
perfect outcome, GBS prophylaxis failure, or a fortuitous outcome in terms of adherence
to the care processes described in the CDC guidelines. A perfect outcome was defined
as no error present and the correct outcome achieved. GBS prophylaxis failure was
defined as at least one error present and correct outcome not achieved. A fortuitous
outcome was defined as one or more errors present, but the correct outcome was still
achieved.
Results
There were 324 women who delivered during the month of April 2018. There were 11 women
excluded from our analysis due to: 1 had no delivery type entered in the electronic
birth log, 2 vaginal deliveries had no recorded gestational age, and 8 cesarean deliveries
had no recorded status of amniotic membrane rupture. The remaining 313 women were
included in our cohort for analysis. Our maternal population included 33.9% (N = 106) African American, 89.1% (N = 279) maternal age between 19 and 39 years old, 30.7% (N = 96) were nulliparous, and cesarean section rate was 43.1% (N = 135) and 26.5% (N = 83), delivered less than 37 weeks' gestation as shown in [Table 3 ]. Overall, positive GBS status was identified in 12.8% (N = 40) of all patients, and 25.5% of patients tested, and negative in 37.4% (N = 117), 74.5% of patients tested. Unknown GBS status was identified in 49.8% (N = 156).
Table 3
Maternal demographics and characteristics
Characteristics
Maternal age (Y)[a ]
15–19
25 (8)
20–24
64 (20.4)
25–29
82 (26.2)
30–34
88 (28.1)
35–39
45 (14.4)
≥ 40
9 (2.9)
Maternal race[a ]
White (Caucasian)
63 (20.1)
Black (African American)
106 (33.9)
Asian
14 (4.5)
Native American
2 (0.6)
Other
122 (39)
Unknown
6 (1.9)
Parity[a ]
None
0 (0)
1
96 (30.7)
≥ 2
217 (69.3)
Previous live birth[a ]
None
17 (5.4)
1
109 (34.8)
≥ 2
181 (57.8)
Unknown
6 (1.9)
Delivery type[a ]
Vaginal
178 (56.9)
Cesarean
135 (43.1)
Term, preterm status[a ]
Preterm[b ]
83 (26.5)
Term[c ]
225 (71.9)
Unknown
5 (1.6)
GBS status
Positive
40 (12.8)
Negative
117 (37.4)
Unknown
156 (48.8)
Abbreviation: GBS, group B streptococcus.
a
n (%). Percentages are calculated based on total maternal patients analyzed (313).
b Indicates delivery at < 37 weeks' gestation.
c Indicates delivery at ≥ 37 weeks' gestation.
[Fig. 2 ] illustrates the assessment of cases regarding the structural, cognitive, or behavioral
components of adherence to GBS prophylaxis guidelines. Structurally, 51.1% (N = 160) had a GBS result that existed in either the clinic or hospital EHR. However,
7 women (2.2%) did not have these results in the hospital EHR due to the laboratories
existing in an external laboratory system that did not interface with the hospital's
EHR ([Fig. 3 ]). Therefore, only 48.9% (N = 153) had their GBS result accessible at the time of delivery.
Fig. 2 Frequency of structural, cognitive, and behavioral components met for analysis of
adherence to group B streptococcus (GBS) prophylaxis guidelines.
Fig. 3 Frequency of structural, cognitive, and behavioral errors for analysis of adherence
to group B streptococcus (GBS) prophylaxis guidelines.
Cognitively, 74.8% of women (N = 234) had their GBS status documented correctly and consistently in the physicians'
notes within the hospital EHR ([Fig. 2 ]). Although 85.6% of women (N = 268) had appropriate decision making, 14.4% (N = 45) did not. Of these 45 cases, 33.3% (N = 15) were errors by omission in which the physician did not order antibiotics when
indicated, and 66.7% (N = 30) were errors by commission in which antibiotics were ordered when not indicated
([Fig. 3 ]).
Behaviorally, 98.1% (N = 307) orders were followed correctly. There were six cases of behavioral errors
in which the antibiotics were not given correctly. In one case, the correct loading
dosage was not administered and in five cases at least one of the doses for the patient
was administered late.
In total, 137 errors were found in 120 cases from a combination of structural, cognitive,
or behavioral components of adherence; therefore, errors occurred in 38.3% of the
313 patients. In 17 cases (12.4%), there was more than one error.
[Figs. 3 ] and [4 ] cover the frequency of structural, cognitive, and behavioral errors and their frequency
in leading to GBS failure, respectively. Stage 1 (data accessibility) errors occurred
in 2.2% (N = 7) of patients and only 1 (14.2%) of these contributed to a GBS prophylaxis failure.
Overall, perception errors (stage 2) related to correctly and consistently documenting
GBS status was the most common error in all patients, accounting for 57.7% (N = 79) of total errors. Of these 79 perception errors, 15.2% (N = 12) resulted in GBS prophylaxis failure. Comprehension and decision errors (stage
3) accounted for 32.8% (N = 45/137) of total errors, and 91.1% (N = 41) resulted in GBS prophylaxis failures. Behavioral errors (stage 4) were found
in 1.9% (N = 6) of total errors and of these 33.3% (N = 2) contributed to GBS prophylaxis failure. Overall with 137 total errors, 40.9%
(N = 56) of these were associated with GBS prophylaxis failure.
Fig. 4 Frequency of structural, cognitive, and behavioral errors that are associated with
group B streptococcus (GBS) prophylaxis failures.
Thirteen patients had perception errors (incorrect documentation) that were coupled
with a comprehension/decision error. Eight of these cases were documented as positive
GBS status and five were documented as negative GBS status; however, with no data
available, these were ruled as unknown status. Twelve of the 13 cases had antibiotics
when not indicated. The remaining case was the only omission error. The patient was
documented as negative GBS status but had an intrapartum temperature greater than
100.4°F and should have received prophylaxis.
In our study, perfect outcomes occurred in 62.7% (N = 196) women, GBS prophylaxis failure occurred in 13.7% (N = 43), and fortuitous outcomes in 23.6% (N = 74) as shown in [Fig. 5 ]. GBS prophylaxis failure is the most concerning. Of the GBS prophylaxis failures,
5.4% (N = 17) of cases did not receive antibiotics when indicated. Cognitive errors in comprehension
and decision making occurred in 15 of the 17 cases (88.2%), while behavioral errors
accounted for the remaining 2 cases (11.8%). Most of these cases (82.2%; N = 37/45) involved an unknown GBS status and additional risk factors present. One
of these cases involved a patient who had a negative GBS rectal-vaginal screen greater
than 5 weeks prior to delivery. The patient therefore reverted to “unknown” status
and she had a fever prior to delivery, which qualifies it as a GBS prophylaxis failure.
Finally, 8.3% (N = 26) of GBS prophylaxis failures were due to overtreatment and given antibiotics
when not indicated.
Fig. 5 Frequency of outcomes related to intrapartum antibiotic prophylaxis (IAP) indication.
A “perfect” outcome is compliance with the Centers for Disease Control (CDC) group
B streptococcus (GBS) prophylaxis guidelines without error. A “fortuitous” outcome
is compliance with the guidelines, yet one or more errors were present. IAP failure
occurs with failure to comply with guidelines with one or more errors present.
Fortuitous outcomes are unique cases and occurred in 74 women. Despite an identified
error, the majority of women 93.2% (N = 69) resulted in no antibiotics given when not indicated. There were five cases
in which antibiotics were ordered and administered when indicated despite an error,
all of them due to documentation. One case occurred in a woman with GBS positive result
who was documented to be unknown. Three cases who were in reality unknown status but
were documented as positive GBS status with no supporting laboratory results or evidence.
However, GBS prophylaxis became indicated due to preterm gestational age. The fifth
fortuitous case occurred in a woman who had a positive urine culture at an external
clinic 21 weeks prior to delivery. This result was in a scanned document in the ambulatory
clinic EHR and not visible in the hospital EHR. The nurse transcribed GBS status as
unknown, yet the physician did correctly document the positive status and treated
the patient appropriately. It is not known whether the physician logged into the ambulatory
EHR, or if the patient verbally informed the physician of the result. However, this
is still a structural, data accessibility error, yet a fortuitous outcome.
Discussion
Prophylaxis for GBS is a complex process. We were able to identify structural, cognitive,
and behavioral errors that may contribute to failures in many cases, but in other
cases, these errors may create fortuitous outcomes. Although we had hypothesized that
structural components such as data accessibility to GBS results would lead to the
most prophylactic failures, this was not found. In our study, GBS results were accessible
within the hospital in approximately half the cases but contributed to less than 2%
of GBS prophylactic failures. In contrast, comprehension and decision-making cognitive
errors occurred in 45 cases (14.2%) and led to over 90% of GBS prophylactic failures.
Finally, there was only a 2% rate of behavioral errors that contributed to two cases
of GBS prophylaxis failure due to antibiotic undertreatment.
While the incidence of early-onset neonatal sepsis has declined since the introduction
of prevention guidelines by the CDC in 2010, several studies have shown that we have
not yet approached complete screening or prophylaxis for all appropriate patients.[3 ]
[7 ]
[8 ] Our study had a lower incidence of a perfect process of 62.6% compared with 76%
previously reported.[3 ] Bianco et al recently published a retrospective study characterizing the appropriateness
of GBS prophylaxis in four hospitals in Italy.[14 ] They reported 91.1% of GBS prophylaxis administration in patients for whom prophylaxis
was indicated, but also noted that only 36.3% of pregnant women had what they called
“totally appropriate” prophylaxis, in regards to correct drug choice, route of administration,
dosage regimen, and timing. Verani et al evaluated cases of early-onset GBS disease
and determined that these cases had implementation errors in 57.9%.[15 ]
GBS prophylactic failures with overtreatment increases concern for antibiotic resistance
and development of late-onset neonatal sepsis. An epidemiologic study of GBS isolates
between 1999 and 2005 showed 32% resistant to clindamycin and 15% resistant to erythromycin.[5 ] In a small study from Utah, Glasgow et al reported an association of intrapartum
antibiotic administration to an increased risk of late-onset (7–90 days) serious bacterial
illness in neonates.[6 ]
Our study does have limitations. We clearly had a high rate of patients with unknown
GBS status, including preterm deliveries who would not have had GBS screening. We
did not assess specific aspects related to GBS screening in this error analysis, as
our focus was the labor and delivery unit itself. GBS screening is clearly an important
component of overall GBS prevention, but this is a separate multifactorial process
that requires its own analysis (e.g., patient scheduling, patient appointment compliance).
Also, due to the complexity of individual patient care environments, our results may
not be generalizable to other institutions; for instance, organizations which have
a single EHR for the inpatient and outpatient settings, or on the other extreme, hospitals
that have a higher proportion of mothers without prenatal care. Other limitations
of our study are a small sample size, lack of access to all clinical results (e.g.,
free standing emergency departments or urgent care clinics), and our use of documentation
to infer physician perception of available clinical data. Finally, for several of
the cases we categorized as a comprehension/decision error, we must also acknowledge
that EHR usability may be a contributing factor that we were unable to establish based
on available data. During the period of analysis, we discovered that the default reference
range for the microbiology results was set for 2 weeks. While physicians could individually
alter this display range, our experience leads us to believe that many users accept
the default and do not change it. The implication here could be significant in that
195 of 232 (84.1%) GBS screens or urine culture results were resulted greater than
2 weeks prior to delivery. As a result of our analysis, the institution has changed
the default display range for microbiology results to 9 months.
At our institution, this study was conceived after an analysis of a single neonatal
sepsis case. In this case, the mother had a positive urine culture for GBS which was
not available to the treating physician in the labor and delivery suite. The urine
was obtained at an external laboratory, recorded in the clinic notes, but not visible
in the hospital EHR. Based on this, our initial hypothesis was that the primary source
of GBS prophylaxis failure was the lack of interoperability with laboratory results
between the institutions.
Adherence to GBS prophylaxis guidelines is not as simple as checking a GBS status
and treating when indicated. We created our structural-cognitive-behavioral model
based on five key components and an error in one (or more) of these steps can lead
to four potential sources of failure. Our most frequent error was a stage 2 (perception)
error with incorrectly documenting the patient's GBS status in 79 (25.2%) cases. We
acknowledge that perception is not exclusively captured with documentation; however,
it is the only permanent indicator of the physician recognizing GBS status and communicating
this perception to the medical record and to other clinicians on the care team. Physician
may be aware of a patient's GBS without documenting it or use temporary documentation
to record this status. While electronic tracking boards of key information are becoming
more common, many labor and delivery units may still use whiteboards to indicate patient
status. We maintain that a failure to accurately and consistently document a patient's
GBS status in the medical record is an error. Stage 3 (comprehension/decision) errors
are the most common error type leading to GBS prophylaxis failure. The majority of
these cases occurred when the GBS status was unknown. Stage 4 (behavioral) errors
are not common and include late administrations.
Fortuitous outcomes occurred in approximately 1 in 5 women and are described in our
population as “lucky cases” where although there were one or more errors, the intended
outcome was still achieved. It remains uncertain how to approach these cases.
While data accessibility errors were not the primary error type we uncovered, we did
have seven cases in which data existed but was not available to the treating physician.
We believe this structural error could be addressed by adopting a national electronic
standard for reporting microbiology results as exists for all other clinical laboratory
results.
Unknown GBS status with risk factors was the most common status associated with GBS
prophylaxis failure. These cases represent the most challenging component of situational
awareness, as the risk factor status is often dynamic in a time-sensitive, task-saturated
clinical environment. Identification of structural, cognitive, and behavioral errors
contributing to nonadherence to national guidelines is a novel concept. This angle
into the complex world of clinical care can provide opportunities to emphasize importance
of documentation, use of risk-based antibiotic guidelines, and to promote teamwork
among health care providers. In the field of perinatal medicine located on a fast-paced,
high turnover hospital unit such as labor and delivery, where access to prenatal laboratories
and executing treatment when indicated is vital to the health and safety of both mother
and infant, delving into the structural-cognitive-behavioral model outlined in this
study may provide solutions to many unanswered clinical questions.
Finally, in July 2019, the American College of Obstetricians and Gynecologists provided
updates to the 2010 CDC guidelines of GBS prophylaxis.[16 ] The most notable change was narrowing the timing of GBS screening. This could have
a downstream effect on adherence to GBS prophylaxis. Even small changes in clinical
guidelines can be disruptive and we anticipate that more failures may occur with this
new update. For instance, narrowing the window for GBS screening could lead to more
patients classified as “unknown” status, which was the biggest source of error in
our study. Perhaps applying this structural, cognitive, and behavioral model could
bring to light the implementation of guidelines into clinical care.
