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Student Research and Embark Projects

Steps in a Research Project

The first step to plan your research project is to identify a topic. There're several ways to brainstorm a topic:

  • Think about your personal interests. Whether it's related to your interest in a medical specialty or your personal experience, you'll gain most when you are interested in and care about your research topic
  • Read the literature. You may read the most impactful journals in medical field to find out the research trend, the research needed to bridge gaps, the hot topics, etc. and think about what you'd like to research on.
  • Talk to your mentor, faculty, residents, and/or peers for ideas and suggestions.

When choosing a research idea, consider the following questions:

  • Is the research problem important?
  • Do you have the resources and expertise necessary to investigate the problem?
  • Is the research problem related to your professional goals?
  • Is the research problem testable with empirical, data-based methods?
  • Is the research problem ethical?

After you identify a topic, you'll need to do a preliminary literature search to find out answers to the following questions:

  • What research has been conducted in the past in this topic?
  • Will you research topic address any gaps on this subject?
  • Do you need to modify your research topic?

In order to find sufficient information on your topic, you'll need to select the right databases to search and craft a search strategy that can retrieve relevant literature efficiently and effectively.

Below are selected databases that most commonly used in literature search on health sciences topics.

After identifying a general topic of your interest and gathering background information, the next step is to formulate a research question.

One of the most commonly used method to formulate a research question is the PICO method.

P: Population or Problem

I:  Intervention

C: Comparison (if any)

O: Outcome

Formulating a focused research question on the broad topic you identified at the first step will help you manage your research project, timeline, study design, etc.

For more information on PICO, see the video below.

Select the most appropriate study design to best address your research question. Below is a table of most commonly used study design in health sciences.

Research Design Definition Pros Cons

Randomized controlled trial (RCT) 

 

True experimental design which manipulates a therapeutic intervention; participants in the research are randomized to experimental or control groups; control may be placebo or standard treatment; answer the question: "Does the intervention make a difference?" 

 

Randomization helps control for bias (inherent differences among groups); use of control groups provides better comparison, helps mitigate placebo effect; blinding (masking) when possible also helps; best for establishing efficacy; provide strong evidence of causality 

Not possible for some kinds of research that may present ethical dilemmas; take a long time; require sound methodology; expensive 

Cohort study 

 

Data collected from a defined group of people (cohort); look forward in time, from an exposure, intervention, or risk factor to an outcome or disease; answer the question: What will happen?

Observe people in a natural setting; ethical; timing/time intervals of data collection provided possible associations of results

No randomization; groups with possible inherent differences (selection bias);  attrition (participant dropout) may bias results; may require long follow-up; expensive 

Cross-sectional Study

Determine the presence or absence of disease or other health-related variables in each member of the study population or in a representative sample at one particular time; provide information about prevalence

No waiting for the outcome to occur; fast and inexpensive; used as the first step in a cohort or experiment at little or no added cost; good for collecting baseline results

Difficulty of establishing causal relationships from observation data; impractical for studying rare diseases; prevalence measured doesn’t provide information on cumulative incidence on prognosis, natural history, and disease causation

Case control study 

 

Look backward in time, from an outcome or disease to a possible exposure, intervention, or risk factor; answers the question: What happened?

Quick and cheap; good for rare disorders with a long time between exposure and outcome; efficient-data often collected from record reviews; convenient (patient already have disease) 

No randomization; groups with possible inherent differences (selection bias); difficult to choose appropriate control group 

Case series / case report 

 

Describe observations that have occurred in a patient or a series of patients; call attention to unusual association; bring attention to a unique case 

 

Preliminary observation of a problem; new or rare diagnosis; low cost; can lead to further studies 

No control group; no statistical validity; not planned; no research hypothesis; limited scientific merit 

Systematic review / scoping review 

Focus on a specific clinical topic; conduct a thorough review of the literature; validate best studies and summary the data to answer the clinical question; rigorous process 

 

Provide structured review of current literature; include articles that are critically evaluated; synthesize many small studies and help validate evidence from small studies 

Very time consuming; studies not always easily combined; clinical trials to be analyzed must be similar enough to combine; subject to bias from original studies
Meta-analysis  A meta-analysis is a specific type of systematic review that uses complex statistical methodology (pooling data from individual studies as if one large study) 

Provide structured review of current literature; include articles that are critically evaluated; synthesize many small studies and help validate evidence from small studies 

Very time consuming; studies not always easily combined; clinical trials to be analyzed must be similar enough to combine; subject to bias from original studies

If your research involves human subjects, please refer to Oakland University Institutional Review Board guidelines.

Data collection is the process of systematically gathering and measuring information on variables of interest to answer the research question. There are two main types of data collection methods.

  • Primary Data Collection

The researchers collect or generates original data first-hand through experiments, surveys, observations, trials, etc.

  • Secondary Data Collection

The research is based on data or information that have been collected or published by others.

Each method has its own advantages and disadvantages. The data collection method should be taken into consideration when you choose a study design.

Typically the following steps are involved in the data analysis stage:

  • organize data
  • summarize and analyze data
  • interpret data

The conclusion or the answer to the research question is drawn based on the result of the data analysis. Researchers usually compare the conclusion to the hypothesis they propose in the beginning or compare to the current knowledge on the topic, and discuss the impact of their finding or needs for further investigation.

The last step of any research project is to write up about your finding and disseminate it. It could be a scientific report, a manuscript for publication, a poster to present at a conference or symposium. Here are some helpful information:


Research Travel Fund for OUWB Students

If you are a student traveling within the U.S. to present research at a conference, please complete the Medical Student Travel Authorization form at least two weeks before your trip to receive pre-approval. Please note: any approved funds will be disbursed only after you return from your trip. For additional information please visit the OUWB Research webpage