Hello,
I hope that someone may be able to give me a little bit of advice on this topic, and I hope I am able to give enough information so that you can.
First off about me. I am a Junior nursing student and want to go into medicine. I have worked in the ED for six years and have a passion for emergency electrocardiography. I have, unfortunately, never had a research course and do not know much about research, other than what I have read.
I am looking to do a retrospective study on an EKG change that a few case studies have noted to be significant for a specific coronary artery occlusion. I have also seen patient's with the EKG change personally that have had such findings.
I plan to look at EKGs of patients who presented to the ED over a time period. Exclude those with EKG changes that can interfere with the significance of this finding. Then I will look up those with the positive finding and evaluate what was found diagnostically through heart caths. The study will be conducted in a single facility.
So my first question concerns exclusion factors. Am I correct by planning to exclude patients who had the EKG change but were not admitted or had no diagnostic testing to test for coronary artery occlusion?
My next question concerns the evaluation of data. I plan to use chi-square test or Pearson's, depending on what size of population to evaluate the null hypothesis of: The EKG change is not associated with coronary artery occlusion.
This is where I get confused, because I'm not sure if this is the right method to use, or is there something else that would be better?
I have spoken with an EM physician that I work with and a cardiologist at our facility who think that this is a good idea. They are also willing to help me with the study. The EM doc has been walking me through some of it statistically but I still have some gray areas.
In the study, do I need to just focus on the general population? Or should I divide the patients into groups, for example three age groups. Also should I evaluate other characteristics (sex, smoking status, history, symptoms, race, etc.).
Or would it be more reasonable to complete the first study, and if a group of patients with certain characteristics are noted to have the coronary artery occlusion with the EKG change, a subsequent study would be done to evaluate the significance of the change in that specific group?
I may have not been specific as I should have been and my main question that I really need guidance on is the last paragraph. I apologize if I was not clear enough about what I plan to do or if I am completely off because I don't have experience with research.
Thanks in advance.
I hope that someone may be able to give me a little bit of advice on this topic, and I hope I am able to give enough information so that you can.
First off about me. I am a Junior nursing student and want to go into medicine. I have worked in the ED for six years and have a passion for emergency electrocardiography. I have, unfortunately, never had a research course and do not know much about research, other than what I have read.
I am looking to do a retrospective study on an EKG change that a few case studies have noted to be significant for a specific coronary artery occlusion. I have also seen patient's with the EKG change personally that have had such findings.
I plan to look at EKGs of patients who presented to the ED over a time period. Exclude those with EKG changes that can interfere with the significance of this finding. Then I will look up those with the positive finding and evaluate what was found diagnostically through heart caths. The study will be conducted in a single facility.
So my first question concerns exclusion factors. Am I correct by planning to exclude patients who had the EKG change but were not admitted or had no diagnostic testing to test for coronary artery occlusion?
My next question concerns the evaluation of data. I plan to use chi-square test or Pearson's, depending on what size of population to evaluate the null hypothesis of: The EKG change is not associated with coronary artery occlusion.
This is where I get confused, because I'm not sure if this is the right method to use, or is there something else that would be better?
I have spoken with an EM physician that I work with and a cardiologist at our facility who think that this is a good idea. They are also willing to help me with the study. The EM doc has been walking me through some of it statistically but I still have some gray areas.
In the study, do I need to just focus on the general population? Or should I divide the patients into groups, for example three age groups. Also should I evaluate other characteristics (sex, smoking status, history, symptoms, race, etc.).
Or would it be more reasonable to complete the first study, and if a group of patients with certain characteristics are noted to have the coronary artery occlusion with the EKG change, a subsequent study would be done to evaluate the significance of the change in that specific group?
I may have not been specific as I should have been and my main question that I really need guidance on is the last paragraph. I apologize if I was not clear enough about what I plan to do or if I am completely off because I don't have experience with research.
Thanks in advance.