Comparative Effectiveness Research

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Comparative Effectiveness Research

The interpretation of research in health care is essential to decision making. By understanding research, health care providers can identify risk factors, trends, outcomes for treatment, health care costs and best practices. To be effective in evaluating and interpreting research, the reader must first understand how to interpret the findings. You will practice article analysis in Topics 2, 3, and 5.

For this assignment:

Search the GCU Library and find three different health care articles that use quantitative research. Do not use articles that appear in the Topic Materials or textbook. Complete an article analysis for each using the \”Article Analysis 1\” template. Comparative Effectiveness Research

Refer to the \”Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbation’s: Results of a Randomized Controlled Trial,\” in conjunction with the \”Article Analysis Example 1,\” for an example of an article analysis.

While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to Lopes Write. Refer to the Lopes Write Technical Support articles for assistance.

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Quantitative Healthcare Article Analysis

Article Citation Kim, I.K., Choi, S.H., Son, S., & Ju, M.K. (2016). Early weight gain after transplantation can cause adverse effect on transplant kidney function. Transplantation Proceedings, 48, 893-896. http://dx.doi.org/10.1016/j.transproceed.2015.10.064
Category Description
Broad Topic Area/Title Weight gain after kidney transplantation as a risk factor for the rejection of the transplanted kidney.
Variables and Type of Data for the Variables Independent variable: Changes in BMI (data = weight in kg and height in meters)
Dependent variable: Kidney transplant function (data = eGFR)

Population of Interest for the Study All kidney transplant recipients at Yonsei University College in South Korea (between 2009 and 2014).
Sample The sample was n = 81 transplant recipients (33 male and 48 female).
Sampling Method Convenience sample.
Descriptive Statistics (mean, median, mode; standard deviation)
Identify examples of descriptive statistics in the article.

POM 1 BMI increase by 0.458
POM 2 to POM 3 average BMI decrease by -1.92

Pre-transplant GRF mean range = 2.6-25.2

Inferential Statistics
Identify examples of inferential statistics in the article.

Correlation coefficient: Negative correlation between BMI and eGFR pre-transplant to POM 1 (r = 0.406, P <0.0001)
Article Citation Falcão, R.M.M., Costa, K.N.F.M., Fernandes, M.G.M., Pontes, M.L.F., Vasconcelos, J.M.B., & Oliveira, J.S. (2019). Risk of falls in hospitalized elderly people. Revista Gaúcha de Enfermagem, 40(e20180266), 1-8. http://dx.doi.org/10.1590/1983-1447.2019.20180266
Category Description
Broad Topic Area/Title Accidental falls among hospitalized elderly patients aged 60 years and above as a quality improvement issue.
Variables and Type of Data for the Variables Independent variable: Age 60 years and above (data = chronological age). Comparative Effectiveness Research
Dependent variable: Risk of accidental falls as determined by the Morse Fall Scale (score on the assessment tool).

Population of Interest for the Study The population of interest was that of elderly patients aged 60 years and above who are frail and hospitalized.
Sample Participants were n = 284 elderly patients at a University Hospital in Paraiba.
Sampling Method Convenience sample.
Descriptive Statistics (mean, median, mode; standard deviation)
Identify examples of descriptive statistics in the article.

45% had a high risk of falls.
Mean age for men = 68.4 years.

Average length of hospital stay = 5.5 days

Inferential Statistics
Identify examples of inferential statistics in the article.

· Multivariate analysis
· Chi-square test (risk of association with diuretic medicine, p-value = 0.032)

Article Citation Howell, E.A., Balbierz, A., Wang, J., Parides, M., Zlotnick, C., & Leventhal, H. (2012). Reducing postpartum depressive symptoms among Black and Latina mothers: A randomized controlled trial. Obstetrics & Gynecology, 119(5), 942–949. https://doi.org/10.1097/AOG.0b013e318250ba48
Category Description
Broad Topic Area/Title Postpartum depression among mothers from marginalized communities (African Americans and Hispanics).
Variables and Type of Data for the Variables Independent variable: Behavioral educational intervention.
Dependent variable: Manifestation of symptoms of depression in postpartum mothers from minority communities.

Population of Interest for the Study The population of interest is that of mothers from the Black and Hispanic communities with particular social determinants of health.
Sample Participants = n = 540 Black and Hispanic mothers.
Sampling Method The participants were a convenience sample of Black and Hispanic mothers who delivered at a tertiary hospital in New York’s East Harlem between April 2009 and March 2010.
They were however randomized to either the intervention group or the control group. Comparative Effectiveness Research

Descriptive Statistics (mean, median, mode; standard deviation)
Identify examples of descriptive statistics in the article.

At 3 weeks, positive depression screens 8.8% in intervention group compared to 15.3% in the control group.
At 6 months, positive depression screens 8.9% in study group vs. 13.7% in control group.

Inferential Statistics
Identify examples of inferential statistics in the article.

Regression analysis.
Multivariable analysis, OR = 0.37 (95% CI 0.17-0.79).

References

Falcão, R.M.M., Costa, K.N.F.M., Fernandes, M.G.M., Pontes, M.L.F., Vasconcelos, J.M.B., & Oliveira, J.S. (2019). Risk of falls in hospitalized elderly people. Revista Gaúcha de Enfermagem, 40(e20180266), 1-8. http://dx.doi.org/10.1590/1983-1447.2019.20180266

Howell, E.A., Balbierz, A., Wang, J., Parides, M., Zlotnick, C., & Leventhal, H. (2012). Reducing postpartum depressive symptoms among Black and Latina mothers: A randomized controlled trial. Obstetrics & Gynecology, 119(5), 942–949. https://doi.org/10.1097/AOG.0b013e318250ba48

Kim, I.K., Choi, S.H., Son, S., & Ju, M.K. (2016). Early weight gain after transplantation can cause adverse effect on transplant kidney function. Transplantation Proceedings, 48, 893-896. http://dx.doi.org/10.1016/j.transproceed.2015.10.064

Comparative Effectiveness Research