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Explain why this approach is the best one to provide information for your area of interest.

Explain why this approach is the best one to provide information for your area of interest.

Explain why this approach is the best one to provide information for your area of interest.
PICOT/PICo and Practice Questions: NR 505 Week 2 Discussion

PICOT/PICo and Practice Questions: NR 505 Week 2 Discussion

PICOT/PICo and Practice Questions

The focus for Week 2 is on questions: PICOT/PICo and practice questions.

Using the area of interest from Week 1, identify the following.
Will you be using a quantitative or qualitative approach for your EBP project proposal?
Explain why this approach is the best one to provide information for your area of interest.
Create a PICOT/PICo question using the PICOT/PICo format for quantitative and PICo for qualitative approaches.
Identify your practice question, being sure to include the following.
For a quantitative approach
A questioning part such as “what is,” “what are,” “is there,” or “are there”
Population being studied
Variables being studied
Suggestion of the relationship between variables
For a qualitative approach
Phenomenon or concept of interest
Group or population of interest
Suggestion of which qualitative research design is being used
Qualitative research is a non-numerical method for identifying and comprehending behaviors and interactions. Techniques that encourage open-ended dialogue with participants are typically used during the exploratory phase of a research project. Allowing participants to form their own answers allows them to use more detail than when closed-ended dialogue is used. Focus groups,

PICOT PICo and Practice Questions NR 505 Week 2 Discussion
PICOT PICo and Practice Questions NR 505 Week 2 Discussion

surveys, in-depth interviews, and mystery shopping are used to collect qualitative data. Qualitative data enables the researcher to have detailed interactions with research participants, creating an environment in which a wide range of information can be revealed. The information could be useful to businesses that are developing new products and services (Winters, 2016). Quantitative research, on the other hand, seeks patterns in numerical data that can be used to clarify research hypotheses. Statistical data provide researchers with the information they need to make informed statements about the results. This method is more structured and relies on closed-ended questions to collect information. The survey is the most commonly used tool for gathering data for a quantitative study, whether by mail, phone, online, or a combination of the three (Winters, 2016).

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I plan to conduct qualitative research for my research EBP project proposal. My research question seeks to discover whether the implementation and use of electronic health records improves collaboration among healthcare providers. In-depth conversations are required to gather this information. According to Winters (2016), qualitative data allows researchers to have in-depth discussions with study participants, which can provide insight into their needs, behaviors, desires, routines, and many other details. The information gathered may be useful in updating or developing a system that providers will find more user-friendly, resulting in greater compliance, greater collaboration, improved patient care, and better patient outcomes.

Is the use of electronic health records associated with increased collaboration and better patient care?

SAMPLE RESPONSE TO PICOT/PICo AND PRACTICE QUESTIONS

Thank you so much for your comments. I, too, am fascinated by the implementation and use of electronic health records. I’ve had the opportunity to take part in several “go live” sessions for electronic health record systems. In my experience, much of the resistance stemmed from apprehension about change. Every physician’s group in the last facility I worked in was given a year to learn and use the new computer documentation system. Except for one, all of the groups were in compliance. And their chief of staff was adamant about not using it, and the other physicians in the group agreed. Their nurse practitioners, on the other hand, quickly learned the system. It was a fascinating situation. Despite the opposition, many of those same doctors were pleased when they realized the level of convenience afforded them by being able to remotely enter orders, view lab results, and radiological reports! In comparison, the floor nurses resisted the transition to computer documentation as well, but we had to learn it right away. There were no discussions about nursing concerns about the system. Although many nurses were skeptical of the new technology, they eventually came to appreciate it. Their level of reliance and appreciation was most evident when the system crashed and we were forced to chart on paper for two days. Despite the challenges associated with the transition to computer documentation, both (nurses and doctors) acknowledged the positive impact it had on the admission process, order entry, patient care, and care transition. According to Lambooij, Drewes, and Koster (2017), the education and training received by new users, the level of support provided by the IT team, and organizational culture were the most influential factors in the successful use and implementation of electronic health records.

Organizations must become more adept at introducing and implementing electronic health records due to ongoing changes in healthcare and federal mandates.

The more positive the communication surrounding the EHR, the more positive the reception, and the greater the likelihood of a successful and positive transition for the organization.

After all, the ability to provide better patient care and disease management is the most important factor in this equation. Doctors and nurses who find a program that is easy to use and relevant to their needs are more likely to use it and improve their workflow. They also believe that when electronic medical records are easier to use and better aligned with their daily routines, patient data quality improves (Lambooij, Drewes, & Koster, 2017).

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