Since the COVID pandemic took us by storm, the world has changed, especially the medical field. Many patients have used tele-health appointments to see their physicians instead of taking the risk of traveling to the Dr’s office where they are at risk of catching the virus. This has also helped to protect those in the medical field as they are not coming into contact as frequently with patients who may transmit the virus.
This research would help to determine if tele-health is still a preferred method of talking to their physician or not and the outcome would dictate whether it would be used to drive a change in nursing practice. For many patients the convenience of tele-health might influence patient’s answers like not having to drive or take transportation to get the appointment, not having to ask someone to take you or go with you; no waiting in the doctor’s office and not taking up so much time in a busy day.
Response 2 (chislon)
Quantitative research designs use numbers analysis to answer a research hypothesis or question. A research design is a general plan in which the researcher incorporates several study components in an analytical and coherent way to effectively tackle the research problem. “There are six types of true experimental designs commonly reported in the scientific literature. These include: (1) two-group pretest-posttest – Subjects are randomly assigned to the experimental or control group and are measured before and after the intervention; classic or true experiment, (2) two-group posttest-only – Experimental designs when subjects are randomly assigned to an experimental or control group and measured after the intervention, (3) Solomon four-group – An experimental design with four groups—some receive the intervention, others serve as controls; some are measured before and after, others are measured only after the intervention, (4) multiple experimental groups – Experimental designs using two or more experimental groups with one control group, (5) factorial – Experimental designs allowing researchers to manipulate more than one intervention, and (6) crossover designs – Experimental designs that use two or more treatments; subjects receive treatments in a random order (Schmidt, 2017).”
I will explain some more on the Two-Group Pretest-Posttest Designs. This design is known to be the common/classic design used in experiments and this is the main reason why I chose it. Other than the Two-Group Posttest-Only Designs, this design is one of the simplest designs. A two-group pretest-posttest design is an experimental design, which compares the change that occurs within two different groups on some dependent variable (the outcome) by measuring that variable at two time periods, before and after introducing/changing an independent variable (the experimental manipulation or intervention). For example, a researcher wants to test the insulin administration education of diabetic patients. Patients in a diabetic clinic are assigned randomly between two groups, a computerized learning class or an in-person teaching and demonstration class with demonstrated knowledge check. The knowledge and technique used are measured before and after teaching for all subjects. In the end, the pretest and posttest techniques were compared to determine if learning occurred. Another is to compare the posttest knowledge and technique of both groups to see if the teaching method improved the posttest score more than another did.
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