Although both QI and PI take a systems view, a
noticeable difference between them is that PI
places more emphasis upon human performance while
QI focuses on processes. Both assert the need for data.
The QA Project recommends a flexible stance in
deciding how to perform the analysis step, i.e., whether to conduct a root-cause analysis, whereas
PI holds firmly that root-cause analysis should be
performed. When root-cause analysis is conducted in QI, hypotheses are produced using a variety of
techniques, such as generating possible causes and
organizing them on a fishbone (Ishikawa) diagram, or using
the Tree Diagram technique ("Five Why's"),
narrowing down the most likely causes, and developing
simple data collection tools to verify which one is
the actual root cause. Descriptions of root-cause
analysis in PI often exclude the verification step.
| Rapid approaches employ solutions from
a list of known change strategies that have
a history of results in reducing errors and rework.
|
The QA Project advocates not performing
root-cause analysis when the cause is obvious (this usually applies when the individual
approach is used), or when the problem solvers are
sufficiently knowledgeable about the process to
make educated guesses as to the cause (often used by
teams using the rapid or process improvement
approach). These approaches yield a quicker result, but require
a level of QI expertise to know when they should
be applied. Rapid approaches employ solutions from
a list of known change strategies that have a history
of results in reducing errors and rework.
Another significant difference between PI and QI
is that PI is usually led by a specialized
practitioner, while QA and QI have always been intended to
be managed by the health program staff itself. This
approach supports the institutionalization of quality
in many of the countries where the QA Project
works and is exemplified in the autonomous and
continuous character of QI teams, which are central to
the sustainability of QI. QI teams are usually
self-directed groups of facility-based health workers.
The teams are developed and supported by
coaches who provide them with both formal and
just-in-time training in QIthe process, tools, and
techniquesand on team process matters such as: the
functions and roles of team members; communication
skills (e.g., active listening, giving and receiving
feedback); decision making; planning, conducting, and
documenting team meetings; and presenting team results
to managers.
Teams use the QI process to decide what they want
to improve, and are thus empowered to improve
their work conditions and
outcomes, often making systemic transformations to their work
environment. This contrasts with PI, which does not
emphasize the use of teams. QI team members are selected
for their expert knowledge of the process being improved or other special
skills. This combination of knowledge and skills gives
the team the expertise that enables them to deal with
complex systems and processes. Often a QI team is wholly responsible for the process they are
improving (process improvement teams). Such teams can
continually seek opportunities for improvement, and
design, test, and implement solutions without
requiring higher authority to initiate the effort.
On the other hand, PI is often initiated at a
client's request and directed by a PI practitioner. While
teams are formed to design and implement
interventions, there is less indication that, after the original
performance problem is improved, self-directed
facility-level teams continue to initiate PI
activities independently as part of their regular way of
doing business. However, many CAs are now conducting
PI training to develop the capacity of field staff and
host country counterparts to use PI independently of
headquarters.
| QA recognizes that standards must be in place and met for these inputs, processes, and outcomes in order to maximize the potential for desired health outcomes.
|
Because of its roots in human resources (HR)
and training, PI is more inclined than QI to consider
HR-related causes and solutions, for example, clear job
expectations, performance feedback, motivation, and
incentives. And QI is more predisposed toward looking
at processes and systems, a focus that generates a broader array of
interventions. One example of such complex interventions
is an accreditation system that may incorporate
both internal and external monitoring and
improvement. Another is the systematic monitoring of Health
Management Information Systems (HMIS) data to generate opportunities for continuous QI.
However, there is increasing evidence of common ground between QI and PI: QA/QI is developing
and testing so-called "HR"-type interventions, such
as supervisory feedback and health worker
motivation, while PI is identifying systemic causes such as lack
of systematic monitoring and evaluation.
Many system-wide intervention mechanisms (e.g., licensure, accreditation, regulation, and
certification) that are tailored to healthcare and employed by
QI have not yet been adopted in the current practice
of PI.6 Accreditation can take any of several forms:
focused accreditation (focused on a single
service) and facilitated accreditation with self-appraisal
are two such complex interventions that improve
quality in an organized way. Another solution that can
arise from QI is Quality Design, which employs a
well-developed methodology to create new services
or processes.
QI is only one methodology in the larger QA
system, and as such, it is not the sole entry point for
improving the performance of a healthcare system. One
can just as easily begin with QD or QM. In fact,
there are many entry points by which quality can be
introduced into a healthcare system. It is a function
of QA's maturity, and the great needs of
healthcare systems in developing countries, that the
interventions mentioned in this article can be
implemented and achieve results without necessarily going
through the QI process.
Both QA/QI and PI emphasize standards, but the former is more systematic and comprehensive. In
QA/QI, standards are classified into two domains: technical (clinical, based on evidence-based
medicine) and administrative. In each domain, there exist
model standards for inputs (e.g., staff, equipment,
supplies), processes (e.g., patient care, admission,
housekeeping), and outcomes (the results of the inputs and
processes: e.g., delivery of a baby, health gain of
a patient, mother appropriately following a health provider's guidance for the care of her child).
QA recognizes that standards must be in place and met
for these inputs, processes, and outcomes in order
to maximize the potential for desired health outcomes.
In PI, the term "standards" is most often applied
to worker performance expectations, namely job
descriptions or specifications although, as mentioned
above, clinical guidelines are a well recognized
performance factor and solution in PI. However, PI uses
terminology for performance factors (e.g., "environment")
that include elements QI would call "input standards."
The different terminology can cause confusion. QI and
PI may both recognize the same deficiencies, but
while one sees the lack of a standard, the other sees a lack
of an environmental support mechanism. In this case,
the two perspectives may lead to the same conclusion,
but QI/QA's more comprehensive and systematic
process for developing, communicating, and
implementing standards around those or similar factors
appears more likely to achieve success, and successes are
sustained longer if staff retain, refer to, and
follow standards.

