Alcohol Use Disorder

Alcohol Use Disorder

Alcohol Use Disorder 150 150 Peter

Alcohol Use Disorder

Begin your discussion by sharing your problem statement and research question. Next, discuss your sampling plan. In addition, discuss your research design. Consider the following as you craft your response.

Sampling
How will the sample be selected?
What type of sampling method is used? Is it appropriate to the design?
Does the sample reflect the population as identified in the problem or purpose statement?
Is the sample size appropriate? Why or why not?
To what population may the findings be generalized? What are the limitations in generalizability?
Research design
What type of design will be used?
Does the design seem to flow from the proposed research problem, theoretical framework, literature review, and hypothesis?

Sample Paper

Alcohol Use Disorder

Research Question

Among adults with alcohol use disorder, does cognitive behavioral therapy, compared to personal willpower to stop drinking, lead to a 40% reduction in alcohol consumption within six months?

Sampling

The sample of the research will be randomly selected from a larger population of adults with Alcohol Use Disorder (AUD). Participants’ characteristics will be determined using the inclusion and exclusion criteria. The sample will include adults who have AUD. The study targets on examining the effectiveness of Cognitive Behavioral Therapy (CBT) in the reduction of alcohol consumption among people with AUD. Simple random sampling will help select participants with the required characteristics without bias (Etikan, 2017). The sample reflects the identified population of the study, which includes people with AUD. The sample will include 40 participants, who have willingly accepted to participate in the study. The sample size will be divided into intervention and control groups, whereby the intervention group receives CBT from a behavioral therapist while the control group applies personal willpower to reduce drinking. The sample size is appropriate as it will well represent the population of people with AUD, which is the population being studied. The research findings will be generalized to the larger population of people with AUD seeking strategies to reduce drinking. The research finding may be used by providers to support decision-making in the reduction of alcohol consumption. The limitations of the study will be that participants will be selected from one region, which may not reflect the characteristics of AUD patients in other regions, thus limiting generalizability.

Research Design

A quasi-experimental research design will be used for the research. The design is appropriate as it will help test the hypothesis as well as answer the research question of whether CBT can reduce alcohol consumption among people with AUD. The design will help establish the effectiveness of the proposed intervention in addressing the research problem (Bärnighausen et al., 2017). The design effectively flows from the research question, and it aligns with Orlando’s nursing process discipline theory which describes the role of nurses in identifying patients’ need for help and helping them through behavioral changes to improve their health outcomes and quality of life. The design is also appropriate for testing the effectiveness of the intervention, which helps test and confirm the research hypothesis and answer the research question (Bärnighausen et al., 2017).

 

References

Bärnighausen, T., Røttingen, J., Rockers, P., Shemilt, I., & Tugwell, P. (2017). Quasi-experimental study designs series—paper 1: Introduction: two historical lineages. Journal of Clinical Epidemiology89, 4-11. https://doi.org/10.1016/j.jclinepi.2017.02.020

Etikan, I. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal5(6). https://doi.org/10.15406/bbij.2017.05.00149

Schreiber, P. W., Sax, H., Wolfensberger, A., Clack, L., & Kuster, S. P. (2018). The preventable proportion of healthcare-associated infections 2005–2016: Systematic review and meta-analysis. Infection Control & Hospital Epidemiology39(11), 1277-1295. https://doi.org/10.1017/ice.2018.183