Application Case 1 - Aging the Pediatric Patient (Part 1)

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PatientAgeCohortsUsefulforAnalysis.pptx

Department of Health Informatics

Health Information Management Program

BINF 5520 Health Analytics

Using Microsoft Excel To Calculate Patient Age and

Create Patient Age Cohorts Useful for Analysis

Week 2

Discussion Forum

Today’s Topic

Understanding the challenges facing health information professionals as they negotiate:

Competing Standards of Data Quality

Data Quality Implementation Challenges

Exercise in Calculating Patient Age Cohorts

Questions and Answers

We will spend the bulk of our time working through an exercise in:

Calculating Patient Age

Creating Patient Age Cohorts Based On That Calculation

At the conclusion, we’ll have time for Questions and Answers.

Today’s Topic

Negotiating Competing Standards of Data

When analyzing and presenting health related information, what principles should we employ for the categorization of the data?

What challenges do we face when presenting data to audiences with different interests and/or agendas?

Awareness of Competing Data Standards

Standards of Rigor

Standards of Precision

Standards of Consistency

Standards of Timeliness

Standards Related To Patient Safety

The Role of Standards Development Organizations (SDOs)

Data Quality Implementation Challenges

Development of Data Quality Standards

Monitoring of Data Quality Standards

Enforcement of Data Quality Standards

Managing Change in Data Quality Standards

All Important Challenges !

Considerations for Calculating Patient Age

We must consider when the calculation of the patient’s age is performed. This is typically done at the time of service, but not always.

We must also consider that we typically round the patient’s age DOWN TO THE NEAREST WHOLE NUMBER. Another way of saying this is that the patient’s age doesn’t turn to the next consecutive number until their birthday passes. They “keep” their age up until their birthday. Then and only then to they “progress” to the next age.

Lastly, aside from newborns, we typically are not interested in the patient’s age in fractions or decimals. We typically round down to the nearest whole number. We handle this by invoking the “Integer” function when composing our formula.

These techniques will be demonstrated when you open up Technical Exercise 02 – Calculating Patient Age and Patient Age Cohorts”, which is a Microsoft Excel format.

Let’s Get Real….

The question at hand is this:

When does a patient move from the “Pediatric” category to the “Adult” category?

Let’s Get Even More Real…

Within the “Pediatric” category,

do we need to distinguish between

patients of varying ages?

Is a 3 year old really the same as a 17 year old ?

Whatever….

In Other Words….

Bumper Sticker It For Me !

When is a child no longer a child?

How can we categorize children by age?

Calculating Patient Age Cohorts

When we calculate Patient Age Cohorts, we must remain mindful that the logical grouping of patients must make sense to the user. There must be an internal consistency to the designations chosen for these age cohorts.

We will use a technique within Excel called the “Nested IF” statement, where we create multiple conditions for evaluating the patient’s age in order to designate the appropriate age category for each patient.

The Concept of “Nesting”

Items in a set forming a chain, hierarchy, or logical sequence in which each member is contained in or contains the next.

Nest, verb, past tense: nested; past participle: nested

1. (of a bird or other animal) use or build a nest.

2. fit (an object or objects) inside a larger one.

Calculating Patient Age Cohorts: The “Nested IF” Formula

=IF(G2<1,"Infant", IF(G2<4,"Toddler", IF(G2<11,"Pediatric", IF(G2<13,"Pre-Adolescent",

IF(G2<16,"Adolescent", IF(G2<18,"Post-Adolescent", "Other"))))))

=IF(Condition1, “Label 1”, IF(Condition2, “Label2”, IF(ConditionX, “Label X”)))

FOR EXAMPLE:

WHERE THE CELL G2 IS THE CALCULATED PATIENT AGE.

Calculating Patient Age Cohorts: The “Nested IF” Formula

=IF(G2<1,"Infant",

IF(G2<4,"Toddler",

IF(G2<11,"Pediatric",

IF(G2<13,"Pre-Adolescent",

IF(G2<16,"Adolescent",

IF(G2<18,"Post-Adolescent",

"Other"))))))

Condition 1

Condition 2

Condition 3

Condition 4

Condition 5

Condition 6

Open Parenthesis

Close Parenthesis

Condition 7

So Let’s Get Busy !

So Let’s Recall Our Question…

Is a 3 year old really the same

as a 17 year old ?

Pul-eeeze.

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts Step 1 – Collect Data

Step 1

Step 5

Step 4

Step 3

Step 2

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 2 – Calculate Patient Age

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 3 – Format Patient Age

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 3 – Format Patient Age

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 4 – Create Patient Age Cohorts

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Technical Assignment 02 – Calculating Patient Ages and Age Cohorts

Step 5 – Analyze Data

Questions and Answers

Please send questions to my e-mail address: [email protected]