Effect of a series of electro acupuncture (EA) treatment

Effect of a series of electro acupuncture (EA) treatment

This is an assignment that discusses the determination the effect of a series of electro-acupuncture (EA) treatment.  Yeung Analysis Worksheet Yeung, C., Leung, M., & Chow, D. H. K. (2003).

Determination the effect of a series of electro-acupuncture (EA) treatment

Yeung Analysis Worksheet Yeung, C., Leung, M., & Chow, D. H. K. (2003). The Use of Electro-Acupuncture in Conjunction with Exercise for the Treatment of Chronic Low-Back Pain. Journal of Alternative and Complementary Medicine Objectives:
To determine the effect of a series of electro-acupuncture (EA) treatment in conjunction with exercise on the pain, disability, and functional improvement scores of patients with chronic low-back pain (LBP).

Design: 

A blinded prospective randomized controlled study. Subjects and Interventions: A total of 52 patients were randomly allocated to an exercise group (n = 26) or an exercise plus EA group (n = 26) and treated for 12 sessions. Outcome Measures: Numerical Rating Scale (NRS), Aberdeen LBP scale, lumbar spinal active range of movement (AROM), and the isokinetic strength were assessed by a blinded observer. Repeated measures analysis of variance (R-ANOVA) with factors of group and time was used to compare the outcomes between the two groups at baseline (before treatment), immediately after treatment, 1-month follow-up, and 3-month follow-up. The level of significance was set at p = 0.05.

Results: 

Significantly better scores in the NRS and Aberdeen LBP scale in the exercise plus EA group immediately after treatment and at 1-month follow-up. Higher scores were also seen at 3-month follow-up. No significant differences were observe d in spinal AROM and isokinetic trunk concentric strength between the two groups at any stage of follow-up.

Conclusions: 

This study provides additional data on the potential role of EA in the treatment of LBP, and indicates that the combination of EA and back exercise might be an effective option in the treatment of pain and disability associated with chronic LBP. https://www.ncbi.nlm.nih.gov/pubmed/14499023

Firstly, What was the research question?

Secondly, What were the independent variables?

Thirdly, What was the dependent variable?

Fourthly, What was the sample size and how was it chosen?

Further, What was the experimental design and use of control group?

Moreover, Were the instruments of measurement shown to be reliable and valid?

Additionally, What data types were include d?

Furthermore, Describe the statistics used, what they were used for, and the results.

Besides, What were the researchers’ conclusions? How did they answer the research question(s)?

Also, How was error control ed?

Finally, Did you see any concerns with the research study?

Lastly, If so, what?

Part 2 A:

Use Excel to do a correlation between the following variables: 1. X – 2,5,5,6,6,7,8,9 2. Y – 1,2,2,3,4,4,5,5 B: A drug company is measuring levels of oxygenation in patients after receiving a test medication.

As the researcher, you are interest in whether Group I, which receive the medication, has the same oxygenation levels as Group II, which did not. 1. Group 1: 2,3,3,4,4,7,8,9 2. Group 2: 1,2,2,3,4,4,5,5,6,8 Use Excel to run a t-test for two samples, assuming equal variances, with an alpha value of 0.05. Run the t-test and note:

1. Are you doing a one-tailed test or a two-tailed test (Excel will give you both)?

2. What is the probability that Group I is different from Group 2, using the p value? Is it significant against the benchmark of p < .05?