Refer to the “Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,” in conjunction with the “Article Analysis Example 2,” for an example of an article analysis.
Article Analysis 1
Article Citation
and Permalink
(APA format)
Article 1
Wong, H., Karaca, Z., &
Gibson, T. B. (2018). A
Quantitative Observational
Study of Physician Influence
on Hospital Costs. INQUIRY:
The Journal of Health Care
Organization, Provision, and
Financing, 55,
0046958018800906.
https://www.ncbi.nlm.nih.gov/
pmc/articles/PMC6166308/
Description
Article 2
Hannigan, A. (2018).
Publicand patient involvement
in quantitative health
research: A statistical
perspective. Health
Expectations, 21(6), 939-943.
https://www.ncbi.nlm.nih.gov/
pmc/articles/PMC6250
860/
Description
Description
Broad Topic
Area/Title
Doctors are the link between
hospitalization decisions.
However, there is little
empirical evidence to explain
the impact of each physician
on hospital costs
Most of the recent reviews on
the impact of health research
on public and patient
participation (PPI) are
qualitatively designed.
Undeveloped PPIs for
quantitative design only,
especially in statistical
analysis
The goal is to examine patient
satisfaction in primary care
settings, determine how the
background and
characteristics of patients and
physicians of choice influence
satisfaction, and provide
feedback to healthcare
executives over time. Used to
determine if it was given.
Impact on patient satisfaction.
Identify
Independent and
Physician- independent
PPI contributor- dependent
Satisfaction- dependent v
Point
Article 3
Thornton, R. D., Nurse, N.,
Snavely, L., Hackett-Zahler, S.,
Frank, K., & DiTomasso, R. A.
(2017). Influences on patient
satisfaction in healthcare
centers: a semi-quantitative
study over 5 years. BMC health
services research, 17(1), 361.
https://bmchealthservres.biom
edcentral.com/articles/
10.1186/s12913-0172307-z
© 2019. Grand Canyon University. All Rights Reserved.
Dependent
Variables and
Type of Data for
the Variables
variable
variable
Cost-dependent variable
Public representativeindependent variable
Population of
Interest for the
Study
The range of hospital costs
depends on the physician and
the nature of the physician.
Statisticians in practice
Patients and statisticians in
practice
Sample
1523
362
245
Sampling Method Questionnaires
Observations
Experimental
Descriptive
Statistics (Mean,
Median, Mode;
Standard
Deviation)
Average Number of visits 236
Mode 469
Mean 342
Average cost $917
S.d 3.4
Mode 56
Identify examples
of descriptive
statistics in the
article.
Inferential
Statistics
Identify examples
of inferential
Environment- independent v
Mode 47.1
Example descriptive statistics:
Example descriptive statistics:
Example descriptive statistics:
Physicians Age
Available statisticians age
Mean: 60.8 Standard
deviation: 6.4
Overall satisfaction score:
Tested difference between HC
and EAD p-value .863 (p.
1543
Mean: 57.8 Standard
deviation: 10.0
16.4% of the physicians
included in the sample were
board-certified surgeons,
while the Board of Physicians
recognized 31.7% of
2
Patients age
Mean: 60.0 Standard
deviation: 9.30
score of 3.9 represents the top
20–25% of satisfaction.
statistics in the
article.
physicians.
3

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