he Joint
Commission on Accreditation of Healthcare
Organizations has begun requiring root cause
analyses for all sentinel events. These analyses
can be of enormous value. They capture both the
big-picture perspective and the details. They
facilitate system evaluation, analysis of need
for corrective action, and tracking and trending.
Regarding trending, managers will be able to
determine how often a particular error--such as
an instrument error--occurs or how often a
particular floor or unit of the hospital is
involved. This information may provide clues to
the problem. Root cause analysis is as useful and
perhaps even more efficacious in the near-miss
scenario. The technique is applicable not only to
laboratory medicine but to all health
care-associated disciplines. A root cause analysis
should be performed as soon as possible after the
error or variance occurs. Otherwise, important
details may be missed. All of the personnel
involved in the error must be involved in the
analysis. Without all parties present, the
discussion may lead to fictionalization or
speculation that will dilute the facts. Asking
for this level of involvement may cause staff to
feel hostile, defensive, or apprehensive.
Managers must explain that the purpose of the
root cause analysis process is to focus on the
setting of the error and the systems involved.
Managers should also stress that the purpose of
the analysis is not to assign blame. The comfort
level with the technique increases with use, but
the analysis will always be somewhat subjective.
In this article,
several different techniques for root cause
analysis are applied to an employee safety event
that occurred within the Department of Pathology.
THE SAFETY
CASE
A laboratory aide
was cleaning one of the gross dissection rooms
where the residents work. This aide was a
relatively new employee who had transferred to
the department just a few days prior to the
event. When she was cleaning the sink in the
dissection room, she accidentally ran her thumb
along the length of a dissecting knife--an injury
that required 10 to 15 stitches. Since there had
been other less serious accidents in this room
and several previous attempts to address the
safety issues had not been effective, the
department completed a root cause analysis.
ASK WHY
5 TIMES TECHNIQUE
The simplest way
to perform a root cause analysis is to ask why 5
times. In the case above, the answers might read
as follows:
- The laboratory
aide was cut by a dissection knife.
- The knife was left
by the sink.
- The area was not
cleared on the previous day.
- Clearing is not a
daily habit.
- Standard operating
procedures/documentation for clearing do
not exist.
CAUSAL TREE
In a causal tree,
the worst thing that happened or almost happened
is placed at the top. In near-miss situations, a
recovery or prevention side is added to capture
how an error was prevented. This step is
important in identifying the safety nets that
exist, such as a person or piece of equipment
that checks processes. Having a written record of
these safety nets can be important if the
department is reorganized or the budget is cut.
Proven safety measures should not be eliminated.
If the error did
occur, the causal tree does not have a prevention
or recovery side, as the event happened and was
not prevented.
In either the
near-miss scenario or the full-blown event
scenario, the team's next step is to provide the
causes for the top event, followed by the causes
for those secondary causes, and continuing on
until the endpoints are reached. These endpoints
are the root causes. The team may identify
several root causes and will need to select the
most important 2 or 3 for focused prevention
efforts and possible corrective action.
Table 1
lists 20 codes frequently used in a medical
environment. Assigned codes are useful for
tracking and trending. The department or
organization can plot the frequency of recurring
codes to identify common threads that drive
events. For example, if the work culture is
listed as a significant organizational root cause
in 15 of 20 analyzed events, then the
organization must give high priority to adjusting
its work culture.
| Table 1. The
Eindhoven classification model for a
medical domain* |
| Category |
Description |
Code |
| LATENT ERRORS
|
Errors
that result from underlying system
failures |
|
| |
Technical |
Refers
to physical items, such as equipment,
physical installations, software,
materials, labels, and forms |
|
| |
|
External
|
Technical
failures beyond the control and
responsibility of the investigating
organization |
TEX |
| |
|
Design |
Failures
due to poor design of equipment,
software, labels, or forms |
TD |
| |
|
Construction
|
Construction
failures despite correct design |
TC |
| |
|
Materials
|
Material
defects not classified under TD or TC |
TM |
| |
Organizational
|
|
|
| |
|
External
|
Failures
at an organizational level beyond the
control and responsibility of the
investigating organization |
OEX |
| |
|
Transfer
of knowledge |
Failures
resulting from inadequate measures taken
to ensure that situational or
domain-specific knowledge or information
is transferred to all new or
inexperienced staff |
OK |
| |
|
Protocols/procedures
|
Failures
related to the quality and availability
of the protocols within the department
(too complicated, inaccurate,
unrealistic, absent, or poorly presented)
|
OP |
| |
|
Management
priorities |
Internal
management decisions in which safety is
relegated to an inferior position in the
face of conflicting demands or
objectives; this is a conflict between
production needs and safety (e.g.,
decisions about staffing levels) |
OM |
| |
|
Culture |
Failures
resulting from the collective approach to
risk and attendant modes of behavior in
the investigating organization |
OC |
| ACTIVE ERRORS
(HUMAN) |
Errors
or failures resulting from human behavior
|
|
| |
|
External
|
Human
failures originating beyond the control
and responsibility of the investigating
organization |
HEX |
| |
Knowledge-based
behaviors |
|
|
| |
|
Knowledge-based
errors |
The
inability of an individual to apply
existing knowledge to a novel situation |
HKK |
| |
Rule-based
behaviors |
|
| |
|
Qualification
|
Incorrect
fit between an individual's
qualifications, training, or education
and a particular task |
HRQ |
| |
|
Coordination
|
Lack of
task coordination within a health care
team in an organization |
HRC |
| |
|
Verification
|
Failures
in the correct and complete assessment of
a situation, including relevant
conditions of the patient and materials
to be used, before starting the
intervention |
HRV |
| |
|
Intervention
|
Failures
that result from faulty task planning
(selecting the wrong protocol) and/or
execution (selecting the right protocol
but carrying it out incorrectly) |
HRI |
| |
|
Monitoring
|
Failures
during monitoring of the process or
patient status during or after the
intervention |
HRM |
| |
Skill-based
behaviors |
|
|
| |
|
Slips |
Failures
in performance of fine motor skills |
HSS |
| |
|
Tripping
|
Failures
in whole-body movements |
HST |
| OTHER |
|
|
| |
|
Patient-related
factor |
Failures
related to patient characteristics or
conditions that influence treatment and
are beyond the control of staff |
PRF |
| |
|
Unclassifiable
|
Failures
that cannot be classified in any other
category |
X |
The
Figure shows an example
of a causal tree with codes for the safety case.
Determining why the laboratory aide saw the knife
but did not move it required asking her some
questions. At first, management team members
debated among themselves whether or not she had
seen the knife and, if she had, why she might
have thought she couldn't move it. The team
realized that such discussions were not helpful:
facts were needed. By speaking with the employee,
the team gained an important insight. The aide
had a history of intimidation from physicians,
not in the pathology department but elsewhere.
Her experience had been that doctors got
mad if you moved their stuff. The team also
further investigated how the aide could have
missed that the blade was faced toward the sink.
When the group examined the knife in question,
they found that it differed from a kitchen knife,
and the cutting edge of the knife was not readily
apparent.
In the end, this
basic safety case had a number of different types
of causes. Only one was a human error: the fact
that the aide ran her hand into the knife. Seven
were organizational factors: four related to
protocols and procedures, one related to culture,
one related to transfer of knowledge/training,
and one external to the department. The factors
related to the knife were technical and outside
of the control of the department.
DECISION TABLE
If desired, the
team can go one step further and use a decision
table to determine how best to respond to the
root causes that were uncovered. Use of this tool
helps prevent the knee-jerk reaction: the memo or
procedure change resulting from each error,
regardless of its severity. Often, when errors
occur, the only thing required is to monitor for
reoccurrence.
The decision
table considers the severity levels of events:
whether the event was potentially life
threatening or involved a serious injury, had
potential for minimal harm or temporary injury,
or had no realistic potential for harm. The table
also considers the probability of recurrence and
the detectability of the event. In a transfusion
service, the key detectability issue is whether
the error was detected prior to release to
the patient. If the error is caught within
the transfusion service, then the danger to the
patient is lessened. However, if the error passes
through the system and is released to the
patient, the chance that the error will result in
harm is increased. If the error progresses to
given to the patient, then the error
is full blown and has progressed to an
undesirable endpoint.
Suggested actions
based on these factors are listed in Table 2.
An external report would be required for events
reportable to the Food and Drug Administration
and for sentinel events, as defined by the Joint
Commission. Another example of an external report
is the Web-based reporting now used at Baylor
University Medical Center. This meets the
definition of an external report in that the
occurrence or variance becomes known outside of
the hospital department and becomes part of the
institution's event database. Each department
should have specific criteria for these reports.
For example, within the Department of Pathology,
all mislabeled (misidentified) laboratory
specimens are reported through the Web-based
event-reporting system. This criterion is used
whether the sample was mislabeled by a pathology
employee or by an employee working in one of the
clinical areas.
| Table 2.
Action decision table |
| Criteria |
Severity
level 1. Critical event--potentially life
threatening or serious injury |
| Recurrence |
Probable |
X |
X |
X |
X |
|
|
|
|
|
|
|
|
|
|
|
|
| |
Possible |
|
|
|
|
X |
X |
X |
X |
|
|
|
|
|
|
|
|
| |
Unlikely |
|
|
|
|
|
|
|
|
X |
X |
X |
X |
|
|
|
|
| |
Remote |
|
|
|
|
|
|
|
|
|
|
|
|
X |
X |
X |
X |
| Detectability |
Released to
patient |
Y |
Y |
N |
N |
Y |
Y |
N |
N |
Y |
Y |
N |
N |
Y |
Y |
N |
N |
| |
Given to patient |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
| Action |
Propose change |
X |
X |
|
|
X |
X |
|
|
|
|
|
|
|
|
|
|
| |
Consider change |
|
|
X |
X |
|
|
|
|
X |
X |
|
|
X |
|
|
|
| |
Monitor |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
| |
External report |
X |
|
X |
|
X |
|
X |
|
X |
|
X |
|
X |
|
X |
|
| Criteria |
Severity
level 2. Single event--potential for
minimal harm, temporary injury |
| Recurrence |
Probable |
X |
X |
X |
X |
|
|
|
|
|
|
|
|
|
|
|
|
| |
Possible |
|
|
|
|
X |
X |
X |
X |
|
|
|
|
|
|
|
|
| |
Unlikely |
|
|
|
|
|
|
|
|
X |
X |
X |
X |
|
|
|
|
| |
Remote |
|
|
|
|
|
|
|
|
|
|
|
|
X |
X |
X |
X |
| Detectability |
Released to
patient |
Y |
Y |
N |
N |
Y |
Y |
N |
N |
Y |
Y |
N |
N |
Y |
Y |
N |
N |
| |
Given to patient |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
| Action |
Propose change |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
Consider change |
X |
X |
|
|
X |
X |
|
|
|
|
|
|
|
|
|
|
| |
Monitor |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
| |
External report |
X |
|
X |
|
X |
|
X |
|
X |
|
X |
|
X |
|
X |
|
| Criteria |
Severity
level 3. Single benign event--no
realistic potential for harm |
| Recurrence |
Probable |
X |
X |
X |
X |
|
|
|
|
|
|
|
|
|
|
|
|
| |
Possible |
|
|
|
|
X |
X |
X |
X |
|
|
|
|
|
|
|
|
| |
Unlikely |
|
|
|
|
|
|
|
|
X |
X |
X |
X |
|
|
|
|
| |
Remote |
|
|
|
|
|
|
|
|
|
|
|
|
X |
X |
X |
X |
| Detectability |
Released to
patient |
Y |
Y |
N |
N |
Y |
Y |
N |
N |
Y |
Y |
N |
N |
Y |
Y |
N |
N |
| |
Given to patient |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
Y |
N |
| Action |
Propose change |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
Consider change |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
Monitor |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
X |
| |
External report |
X |
|
X |
|
X |
|
X |
|
X |
|
X |
|
X |
|
X |
|
Critical
assessment of what happened and why must be
balanced with caution in making changes. Frequent
and poorly conceived changes to processes and
procedures can be a significant root cause of
future events. The decision table is a systematic
approach to judge the need for change.
OTHER EXAMPLES
The Department of
Pathology has used root cause analysis for a
variety of variances and, through this tool, has
identified system changes that were indicated.
When reviewing why patient samples had been
reversed during testing, the team discovered that
those particular tests required more manipulation
and concentration--yet were being performed in a
part of the laboratory closest to the hall where
technologists were subject to frequent
interruptions. By moving the activity to a
quieter area, errors were reduced to a
nonoccurrence level.
The use of root
cause analysis also requires a cultural change.
Baylor University Medical Center's move to
occurrence reporting on the Web has generated
more reports and more openness. However, there is
still room for improvement. We encountered a
situation in which a technician was late drawing
blood, causing a delay in the administration of a
drug. However, the next technician came at the
originally scheduled time for the drug level
test, without realizing that the timing had been
delayed. When the team investigated this
incident, the nurse involved asked, Who's
going to get in trouble for this? Will it be the
first person who drew blood too late or the
second who came too soon? We had to explain
that the purpose of the investigation and
analysis was to look at the entire operation and
determine how to improve the system--not to
identify who was at fault. With root cause
analysis, the focus is on the what (the event)
and the why (the system), not the who.
CONCLUSION
Root cause
analysis is a valuable management tool that can
be readily learned by managers as well as
frontline personnel. It can be conducted at
several levels of depth and complexity. As shown
in the safety case, this technique has moved us
beyond comforting the employee after the event
and reminding her to be careful--which is what we
might have done in the past. The approach has
helped us make meaningful changes. We have
developed protocols related to cleaning and the
handling of sharps. We have set the stage for
reducing error.
- Battles
JB, Kaplan HS, Van der Schaaf TW, Shea
CE. The attributes of medical
event-reporting systems: experience with
a prototype medical event-reporting
system for transfusion medicine. Arch
Pathol Lab Med 1998;122:231-238.
|