Writing Assignment - Report on Research Study #1
An Example of a Quantitative Research Study and Report
HAD505 Healthcare Statistics and Research Methods
University of Scranton
Elements of a Research Report
Background / introduction
Problem statement
Research question / Hypothesis
Research Methods / Study design
Population/Sample/Participants
Data including sources / collection procedures
Data analysis (statistical)
Results (text, tables, figures)
Discussion
Limitations
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Documentation of obesity management among obese patients and impact of obesity diagnosis on management. *One patient had missing data.
Bardia A. et.al. Mayo Clin Proc. 2007;82:927-932
© 2007 Mayo Foundation for Medical Education and Research
Documentation of obesity management among obese patients and impact of obesity diagnosis on management. *One patient had missing data.
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Barriers to optimal obesity management
Bardia A. et.al. Mayo Clin Proc. 2007;82:927-932
© 2007 Mayo Foundation for Medical Education and Research
Barriers to optimal obesity management. BMI = body mass index.
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Key Elements
Background: Obesity is a risk factor for many diseases, hospitalization and mortality.
Problem: Obesity is increasing in prevalence and may not be managed well.
Research question: Do primary care physicians document obesity and formulate a management plan?
Key Elements Cont’d.
Research method/design: observational study using existing data (Mayo primary care database)
Population, sample, participants:
Population: Obese adults (Olmsted Co., MN?)
Sample: Obese adults with a general medical exam at the Mayo Clinic between Nov 1, 2004 and Oct 31, 2005.
Participants: All subjects in the “sample” with complete data.
Key Elements Cont’d.
Data including sources:
Dependent variables:
1. diagnosis of obesity, 2. treatment plan
Independent variables
Demographics (Age, sex, BMI), Physician characteristics, Comorbid conditions
Source: All from the Mayo primary care database
Data analyses:
Multivariable logistic regression to examine relation between dependent and independent variables using odds ratios
Two regressions, one for each dependent variable (diagnosis of obesity and documentation of a treatment plan)
Key Elements Cont’d.
Results
Only 19.9% had a diagnosis of obesity
Only 22.6% had an obesity management plan
The diagnosis of obesity was less likely (OR < 1.0) among men and older patients and more likely (OR > 1.0) among those with a BMI > 35, diabetes or sleep apnea.
The diagnosis of obesity was the strongest predictor of having a treatment plan (largest OR)
Key Elements Cont’d.
Discussion
A gap exists between physician practice and management of obesity.
Multiple barriers to identification of obesity exist.
Diagnosing obesity is the best predictor of developing a management plan.
Limitations
Obesity may have been considered without documentation.
Data came from a single institution.
The effect of the management plan on weight loss was NOT evaluated.
Effect of other variables (race, education, income) on the diagnosis of obesity could not be evaluated.
Elements of a Research Report
Background / introduction
Problem statement
Research question / Hypothesis
Research Methods / Study design
Population/Sample/Participants
Data including sources / collection procedures
Data analysis (statistical)
Results (text, tables, figures)
Discussion
Limitations
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Example
Bardia A, Holton SG, Selzak JM, Thompson WG. Diagnosis of obesity by primary care physicians and impact on obesity management. Mayo Clinic Proc. 2007;82(8):927-932.
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