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Data will
be collected daily for all new admissions for the first quarter (October 2008 to December 2008). This data
will prove to be a baseline for future data collection. Future data collection will be done on a specific
number of randomly selected patient charts. The data will be analyzed for discrepancies, patterns, and
identification of staff members who needs additional education.
The
desired healthcare outcomes should be comparable to the background and knowledge base of the nursing staff.
This is not to say that quality care cannot be achieved without outcomes being obtained. Staff can deliver
poor care and quality of performance may be deemed as excellent. There are many indicators of quality care
and outcomes measurement is only one. To use outcomes alone to measure quality care will produce data that is
not valid and unreliable (Marquis & Huston, 2009).
Integrating
Leadership
To produce
the quality of care needed to be considered an organization of excellence, a transformation of the culture of
nursing staff must take place. This transformation must be one that promotes autonomy, and integrity. In
order for the nursing staff to achieve this new behavior they must be led by a leader of change. If the CNL
is to aid or lead the way in the transformation process there must first be a belief in their own mission,
vision, roles and implementations for performance improvement. There are many roles that a leader must take
into account and have the capability to live up to them. There is no contract that can be written that will
eliminate all risk of integrity loss. A baseline requirement for leaders working to build a unit or
organization is a necessary requirement. The staff may not understand every aspect of how or why the system
is being developed, but if people believe that the leaders are honest and have their best interests at heart,
they will generally be willing to support change. Conversely even the most brilliant scientific proposal will
fall flat if led by an individual who is not regarded as having the highest
integrity.
Marquis & Huston (2009) suggested the
leadership roles include:
1. Encourages followers to be actively
involved in the quality control process.
2. Clearly communicates expected
standards of care to subordinates.
3. Encourages the setting of high
standards to maximize quality instead of setting minimum safety standards.
4. Embraces and champions quality
improvement as an ongoing process.
5. Uses control as a method of
determining why goals were not met.
6. Distinguishes between clinical
standards and resource utilization standards, ensuring that patients receive at least minimally acceptable levels of quality
of care.
7. Supports /actively participates in
research efforts to identify and measure nursing sensitive patient outcomes (p. 538).
Once the
staff recognizes that the leader is one who holds all of these attributes, the leader will gain the trust of
the staff and will then have buy-in into the performance improvement strategies that will prevent negative
outcomes. Marquis & Huston (2009), suggested that “inspiring subordinates to establish and achieve high
standards of care is a leadership skill. Leader’s role model high standards in their own nursing care and
encourage subordinates to seek maximum rather than minimum standards” (p. 539).
Outcomes of Performance
Measures
The first
data collection from the surgery unit was completed for the month of October 2008. The data showed that there
were 76 admissions to the unit, 57 of these patients were surgical patients, and 19 patients were admitted
for other reasons such as testing, observation, surgical workup, and overflow from other units. 30 patients
required anticoagulant orders, and 46 patients required antibiotic orders, and 38 patients required TED and
SCD orders. Only seven patients were ordered antibiotics that were administered improperly. The errors
discovered in the data collection of the seven patients revealed that they received too many doses, too few
doses or the doses were held causing a delay in the care of the patient. The other data that was collected
was evaluated and deemed free of mistakes.
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