Data Analysis And Quality Improvement Research

Running head: DATA ANALYSIS
Data Analysis for Research Proposal
Name of the Student
Name of the University
Author Note

1DATA ANALYSIS
Data Analysis
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 analysed. 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 analysed 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 analysed 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

2DATA ANALYSIS
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 analysed 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 intervention,
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.

3DATA ANALYSIS
References
Cowley, A., Cooper, J. and Goldberg, S., 2016. Experiences of the advanced nurse
practitioner role in acute care. Nursing older people, 28(4).