NURS1202 Data Analysis for Quality Improvement Project:
Impact of Advanced Nurse Practitioner in Clinical Set
Answered
Data Analysis
Identifying the Problem and the Knowledge Solution.
Continue To Write Data Analysis For This Improvement Project.
To evaluate and conclude the findings for this quality improvement research, the data
collected on waiting time of the patients, prior and post the implementation of
interventions will be evaluated and analyzed. Measurements of health outcomes, that is,
change in patient satisfaction, post the introduction of a single advanced nurse
practitioner in the health care setting will be used to indicate the efficiency of the role of
ANPs in clinical settings.
To determine the impact post introduction of ANP in health care systems, the current
health status of the targeted population will be measured. Health status will be measured
in the terms of quality of care defined by the variables patient wait time and patient
satisfaction. As the doctors attend many different clinics, the issue with the quality of care
delivered to the patient arises. As per the research hypotheses, the presence of an
Advanced Nurse Practitioner in the clinic will provide greater assistance to the doctors in
delivering standard care to the patient. Thus, it is important to determine the health status
of the targeted population before and post the introduction of an Advanced Nurse
Practitioner to determine the importance of the specialized role of ANPs. The variables
that need to be analyzed are the progress of ANP integration in the health care sector, its
coverage, and the measure of success in achieving the action plan. To collect measurable
data on the chosen variable, sample healthcare facilities will be visited and data will be
collected from observation, questionnaires, and screening of hospital records.
Monitoring of the prescription and diagnostic rights of the newly appointed ANP will give
insights on the scope of practice and highlight any legal and ethical issues. To determine
the overall outcome of the quality improvement project, the two variables of patient
satisfaction and wait times will be analyzed post the introduction of newly appointed
ANPs. This will be done with data analysis on the reduction of unnecessary delays for the
patient to receive treatment. Patient satisfaction is highly dependent on the variable of
wait time and acts as a critical indicator for the successful implementation of the role of
Advanced Nurse Practitioners in clinical settings (Cowley, Cooper, & Goldberg 2016).
Data for the associated waiting time pre and post the introduction of a single Advanced
Nurse Practitioner in health care settings will be analyzed to generate a measurement on
the quality of care delivered to the people based on the patient’s satisfaction report. With
the help of data analysis, any associated correlation between the interventions, that is,
the introduction of ANP and the variables, which are reduction in wait-time and the
increase in patient satisfaction, will be determined.
To properly analyze the autonomous power of decision-making given to the ANP, the
quality of health assessment, diagnosis, and interpretation of clinical results performed
by the ANPs will be analyzed, in addition to which the reduction in the risk to patient safety
and increase in positive health outcome will be observed.
References
Cowley, A., Cooper, J. and Goldberg, S., 2016. Experiences of the advanced nurse
practitioner role in acute care. Nursing older people, 28(4).
Impact of Advanced Nurse Practitioner in Clinical Set
Answered
Data Analysis
Identifying the Problem and the Knowledge Solution.
Continue To Write Data Analysis For This Improvement Project.
To evaluate and conclude the findings for this quality improvement research, the data
collected on waiting time of the patients, prior and post the implementation of
interventions will be evaluated and analyzed. Measurements of health outcomes, that is,
change in patient satisfaction, post the introduction of a single advanced nurse
practitioner in the health care setting will be used to indicate the efficiency of the role of
ANPs in clinical settings.
To determine the impact post introduction of ANP in health care systems, the current
health status of the targeted population will be measured. Health status will be measured
in the terms of quality of care defined by the variables patient wait time and patient
satisfaction. As the doctors attend many different clinics, the issue with the quality of care
delivered to the patient arises. As per the research hypotheses, the presence of an
Advanced Nurse Practitioner in the clinic will provide greater assistance to the doctors in
delivering standard care to the patient. Thus, it is important to determine the health status
of the targeted population before and post the introduction of an Advanced Nurse
Practitioner to determine the importance of the specialized role of ANPs. The variables
that need to be analyzed are the progress of ANP integration in the health care sector, its
coverage, and the measure of success in achieving the action plan. To collect measurable
data on the chosen variable, sample healthcare facilities will be visited and data will be
collected from observation, questionnaires, and screening of hospital records.
Monitoring of the prescription and diagnostic rights of the newly appointed ANP will give
insights on the scope of practice and highlight any legal and ethical issues. To determine
the overall outcome of the quality improvement project, the two variables of patient
satisfaction and wait times will be analyzed post the introduction of newly appointed
ANPs. This will be done with data analysis on the reduction of unnecessary delays for the
patient to receive treatment. Patient satisfaction is highly dependent on the variable of
wait time and acts as a critical indicator for the successful implementation of the role of
Advanced Nurse Practitioners in clinical settings (Cowley, Cooper, & Goldberg 2016).
Data for the associated waiting time pre and post the introduction of a single Advanced
Nurse Practitioner in health care settings will be analyzed to generate a measurement on
the quality of care delivered to the people based on the patient’s satisfaction report. With
the help of data analysis, any associated correlation between the interventions, that is,
the introduction of ANP and the variables, which are reduction in wait-time and the
increase in patient satisfaction, will be determined.
To properly analyze the autonomous power of decision-making given to the ANP, the
quality of health assessment, diagnosis, and interpretation of clinical results performed
by the ANPs will be analyzed, in addition to which the reduction in the risk to patient safety
and increase in positive health outcome will be observed.
References
Cowley, A., Cooper, J. and Goldberg, S., 2016. Experiences of the advanced nurse
practitioner role in acute care. Nursing older people, 28(4).
