HCM 365:  DATA APPLICATIONS for HEALTH PROFESSIONS

Spring 2001

 

INSTRUCTOR:                   Kurt Monroe

Health Care Management

 

OFFICE HOURS:                Room 117, College of Applied Sciences and Arts Building (CASA)

Tues.        1:00 B 2:00 & 3:15 B 3:45 p.m.

Thurs.        1:00 B 2:00 & 3:15 B 3:45 p.m.

Other times can be arranged

 

PHONE NO.:                        618-453-7293 or 453-7211 (HCP office)

Messages can be left in mailbox

e-mail:  kmonroe1@siu.edu

 

FAX NO.:                              618-453-7286

 

COURSE DESCRIPTION:

 

A course designed for students beginning their major in health care to examine and apply data to their profession.  Emphasis upon understanding basic principles, techniques, and applications involved in collection, analysis, synthesis, and utilization of data.

 

PREREQUISITE:                Completion of core curriculum math requirement.

 

REQUIRED TEXTS:

 

Kuzma, J. & S. E. Bohenblust (2001).  Basic statistics for the health sciences (4rd ed.).  Mountain View, CA:  Mayfield Publishing Co.

 

Merchant, R., Goffinet, R. C., & Koehler, V. E.  (1999).  Basic statistics using Excel for Office 97.  Boston, MA:  Irwin/McGraw-Hill.

 

SUPPLEMENTAL TEXT:

 

Additional handouts and articles will be provided in class.

 

COURSE OUTCOMES AND OBJECTIVES:

 

Outcome #1:                Students demonstrate an understanding of uses of data and decision-making.

 

Objectives:

 

A.    Explain the concepts associated with descriptive statistics including:

1.        Organization and display of data:

a.                frequency distributions;

b.                histograms, polygons, and Ogive;

c.                bar graphs and pie charts.

2.        Statistical treatments of data:

a.                measures of central tendency;

b.                measures of dispersion.

 

B.    Explain the concepts associated with probability theory including:

1.        Addition and multiplication rules;

2.        Probability distributions: Normal and student=s t.

 

C.    Explain the concepts associated with inferential statistics including:

1.        Point and interval estimates (confidence intervals);

2.     Z-scores and areas under the normal curve;

3.        Sampling distributions (standard error) and central limit theorem;

4.        Selected tests of significance involving z and t;

5.        Simple linear correlation and regression.

 

Outcome #2:                Students demonstrate an understanding of vital statistics and demographics as they apply to health care decision-making.

 

Objectives:

 

A.        Demonstrate an understanding of the sources of data used and misused in healthcare.

 

B.        Calculate rates, ratios, and proportions.

 

Outcome #3:                Students demonstrate an understanding of sampling techniques as well as conducting and reporting research.

 

Objectives:

 

A.    Explain sampling techniques including systematic, stratified, cluster and random sampling.

 

B.    Conduct basic research study by collecting and analyzing data, and preparing a written report.

 

Your major report score for HCM 365 will become part of your permanent departmental file and be used for individual and program assessment.

 

ATTENDANCE:                Attendance is required of all class sessions and an attendance record will be kept.  (Absences are detrimental to small group activities.)

 

GRADING:                Course grades will be based on tests, written assignments and class participation as follows:

 

 

 

MAXIMUM POINTS

 

YOUR POINTS

 

Quizzes and problems (scaled)

 

60

 

 

 

Exam I

 

50

 

 

 

Exam 2

 

50

 

 

 

Final Exam

 

80

 

 

 

Empirical Article Analysis

 

40

 

 

 

Major Project/Report

 

80

 

 

 

Attendance/Homework

 

40

 

 

 

Total Points Possible

 

400

 

 

 

A    =            360-400            =            (90-100%)            If late assignments are

B    =            320-359            =            (80-89%)            accepted, points will be

C    =            280-319            =            (70-79%)            deducted unless a medical

D    =            240-279            =            (60-69%)            slip is presented.

F    =       # 239         =         (#   59%)

 

A curve may be possible.

 

Exam problems will be very similar to those problems (exercises) appearing behind each section in the textbook  and appearing in the handouts.  Each class period you should be prepared to answer problems on assigned page numbers.  Tests consist mostly of problems.  In order to do well, you need to work enough examples to solve problems accurately and quickly on exams.

 

Makeups will not be given on quizzes or exams unless prior approval from the instructor is granted and/or a medical slip is presented.  Contact me as soon as possible.  Absence alone will not excuse points missed for participation or in-class problems.  Students are responsible to obtain any handouts or due dates during a missed class.

 

Calculators should be brought to class, especially on test days.  Any type of calculator will suffice.

 

Complete reading and homework assignments prior to class and be knowledgeable of what transpires during any class period.  Ask questions about anything that you do not understand.  If you don't ask, I assume you understand.  If you are having difficulty with math or comprehension, obtain help early from me, a tutor, or a fellow classmate.  You are encouraged to ask questions during office hours, to visit tutors, and work together in teams to complete homework and prepare for exams.

 

CLASS ORGANIZATION:

 

All students in the class will be assigned to a small group, which will exist throughout the semester.  The latter part of some class periods will be used for small group break-out sessions.  These sessions will be used to clarify points, to make sure you understand the course material covered, and to do assigned problems.  You are encouraged to study together in your group outside of class and to do Excel applications.

 

 

 

 

 

 

 

TENTATIVE HCM 365 CLASS SCHEDULE

 

WEEK

 

DAY

(T. Th.)

 

TOPIC

 

Kuzma or Excel

 

1

 

Jan 16, 18

 

Course Overview/Statistics & How Used & Abused;

Sampling/Random # Table

 

Kuzma, 1, 2

 

 

2

 

Jan 23, 251

 

Organizing/Displaying Data, Spreadsheets, Frequency Tables, Histograms, polygon, ogive, bar/chart, pie chart

 

Kuzma, 3.1-3.3

Excel, 1

 

3

 

Jan 30, Feb 1

 

Measuring Central Tendency (mean, median, mode, midrange, weighted mean from frequency table)  Quiz

 

Kuzma, 3.4-4.1

Excel, 2, 3

 

4

 

Feb 6, 8

 

Measures of Variation (Dispersion):   (range, standard deviation, variance);

coefficient of variation

 

Kuzma, 4.2-4.4

Excel, 4

 

5

 

Feb 13, 15

 

EXAM 1

Evaluation of a research report/empirical article

Health Survey and Research Report Guidelines

 

Kuzma, 17

Handouts

 

6

 

Feb 20, 22

 

Probability/Rules of Probability

 

Kuzma, 5.1-5.3

Excel, 5

 

7

 

Feb 27, Mar 1

 

Normal Distribution, Z score, percentile

Due:  ARTICLE ANALYSIS

 

Kuzma, 6

Excel, 7

 

8

 

Mar 6, 8

 

Sampling Distribution/Central Limits, t distribution, Quiz

Est. of Population Means/Confidence Intervals

 

Kuzma, 7, 8

Excel, 8, 10

 

9

 

Mar 13, 15

 

SPRING BREAK

 

 

 

 

 

10

 

Mar 20, 22

 

Tests of significance; p-value

EXAM 2

 

Kuzma, 9.1-9.9

Excel, 9

 

11

 

Mar 27, 29

 

Significance (Cont.)

Analysis of Variance (overview)

 

Kuzma ,10.1, 10.2

10.4, 10.5

Excel, 11

 

12

 

Apr 3, 5

 

Correlation & Linear Regression

 

Kuzma, 13

Excel 12

Handouts

 

13

 

Apr 10, 12

 

Vital Statistics & Demographic Methods

MAJOR REPORT DUE

 

Kuzma, 15

 

 

 

 

Apr 17, 19

 

Chr-square test

 

Kuzma 12.1-12.5

Excell, 14

 

14

 

Apr 24, 26

 

Statistical Quality Control

 

 

Handouts

Excel 15

 

15

 

May 1, 3

 

Review for Final; Evals.

 

 

 

Finals

16

 

 

 

FINAL EXAM B Comprehensive (covers all of above)

5:50 - 7:50 p.m.