Difference between revisions of "Team:Purdue/Human Practices"

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<h1>Overview</h1>
 
<h1>Overview</h1>
<p>When considering how to develop our Candida albican detection assay into a more user friendly test, we consulted with several professionals to gain insight and conducted an Institutional Review Board (IRB) survey that provided feedback from potential users. Our process for Human Practices consisted of six basic steps.</p>
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<p>Our work in human practices focused on answering two questions: will our diagnostic test responsibly impact the world in a positive way, and if so how can we best tailor our design to the needs of those seeking to use it. To answer these questions, we sought the advice of professionals specializing in paper-based assays and the opinions of those who would feasibly come into contact with the test at each step of the diagnostic process. The insight we gained from these interactions demonstrated that Yeast ID has a high potential to responsibly improve the lives of those suffering from yeast infections. By listening to feedback from these key stakeholders we were also able to identify and correct previously unforeseen problems in assay design, propelling us closer to our goal of making as large and positive as possible. Our human practices process consists of six basic steps.</p>
 
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<h1 style="margin-bottom:0;padding-bottom:0;">Step 1</h1>
 
<h1 style="margin-bottom:0;padding-bottom:0;">Step 1</h1>
 
<h2 style="text-align: center;margin-top:0;padding-top:0;">Doing research on the problem and learning diagnosis and treatment processes</h2>
 
<h2 style="text-align: center;margin-top:0;padding-top:0;">Doing research on the problem and learning diagnosis and treatment processes</h2>
<p>Learning about how current tests are being used and what doctors would prefer to have was important in transforming our assay. We wanted to make sure that our diagnosis test could benefit professionals working.</p>
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<p>Follow up on findings from literature review by investigating diagnosis and treatment processes first hand.</p>
 
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<h3 style="margin-top:0;">Practicing OBGYN: Dr. Lisa Yang</h3>
 
<h3 style="margin-top:0;">Practicing OBGYN: Dr. Lisa Yang</h3>
<p>Dr. Lisa Yang is a practicing OBGYN, who regularly sees patients, performs surgeries, and works at the hospital with labor and delivering babies. She also works with residents in training by overseeing the work they do with different tests they conduct and surgeries they perform. She answered our questions on different diagnostic tests that she conducts, which is located on the problem page.</p>
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<p>On any given day, Dr. Lisa Yang could expect to visit with regular patients for checkups, perform surgeries, coach a future mother through labor, and deliver multiple babies. Dr. Yang additionally oversees surgeries and tests performed by residents in training. Apart from answering our questions pertaining to current diagnostics for yeast infections (see problem page), Dr. Yang described the ideal yeast infection diagnostic. The ideal diagnostic has the following characteristics:</p>
<p>From our talk with her we learned what her ideal detection method would encompass:</p>
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<li>If she is able to get information while in office and not have to send things into the lab</li>
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<li>Able to produce results in the office without the use of specialized lab equipment</li>
<li>If the test has a good positive predictive value and a low negative predictive value  ie. accuracy</li>
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<li>I2. Produce a comparable number of false positives and negatives compared to the "gold standard" diagnostic</li>
<li>If the test is relatively cost effective</li>
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<li>Inexpensive</li>
 
<li>If her staff is able to perform the test because she either has to conduct the test herself or send it into a lab</li>
 
<li>If her staff is able to perform the test because she either has to conduct the test herself or send it into a lab</li>
<li>If the test is comparable to the gold standard test and can deliver the same results</li>
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<li>Requires minimal training and expertise to complete</li>
 
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Revision as of 06:36, 17 October 2018

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Human Practices

Overview

Our work in human practices focused on answering two questions: will our diagnostic test responsibly impact the world in a positive way, and if so how can we best tailor our design to the needs of those seeking to use it. To answer these questions, we sought the advice of professionals specializing in paper-based assays and the opinions of those who would feasibly come into contact with the test at each step of the diagnostic process. The insight we gained from these interactions demonstrated that Yeast ID has a high potential to responsibly improve the lives of those suffering from yeast infections. By listening to feedback from these key stakeholders we were also able to identify and correct previously unforeseen problems in assay design, propelling us closer to our goal of making as large and positive as possible. Our human practices process consists of six basic steps.

Step 1

Doing research on the problem and learning diagnosis and treatment processes

Follow up on findings from literature review by investigating diagnosis and treatment processes first hand.

Who we talked to:

Step 2

Developing our Paper-Based Assay

Throughout the process of building our paper-based assay, we consulted professionals who helped us change our assay to better fit the needs of healthcare professionals and patients everywhere.

Who we talked to:

Step 3

Learn how to Relay our research to the public

Communicating our research and transporting or assay to the public is important when making our assay more globally accessible.

Who we talked to:

Integrated HP:

Step 4

IRB-approved survey

A major part of our research was finding a way to make the assay more user-friendly than current brands. In order to do so we conducted an IRB survey that used Amazon Mechanical Turk that helped us receive feedback from a diverse demographic range.

Click here to learn more

Step 5

Collaboration

A major part of our research was finding a way to make the assay more user-friendly than current brands. In order to do so we conducted an IRB survey that used Amazon Mechanical Turk that helped us receive feedback from a diverse demographic range.

Click here to learn more