Texas Pregnancy Data
VitalWeb Standard
Online Help



Table of Contents
  1. Introduction

    1. Quick Guide to using VitalWeb Standard
    2. Multiple windows

  2. Table settings

    1. Primary statistic, such as pregnancy rate
    2. Table axes (rows and columns)
    3. Statistic / axis conflicts

  3. Data variables

    1. Categorical variables, such as race
    2. Range variables, such as age
    3. Other settings, such as confidence intervals

  4. Graphic settings

    1. Pie chart settings
    2. Line chart settings
    3. Bar chart settings
    4. Map settings
    5. Map color palettes

  5. Producing and using results

    1. Getting results
    2. Viewing results
    3. Printing results
    4. Saving results

  6. Other Information

    1. Glossary
    2. County groupings
    3. 95% Poisson Confidence Limits
    4. Statistical Methods
    5. Confidence Intervals
    6. Data sources and limitations
    7. Links to related resources
    8. Department of State Health Services contacts
    9. Legal information




Quick Guide to using VitalWeb Standard

First, select settings from within the Main Window:

Next, whenever you are ready:

After you have made output:

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Multiple Windows

VitalWeb Standard uses multiple browser windows.

Main Window:

Map Options Window:

Other Settings Window:

Help Window:

Results Window:

Other Windows:

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Setting Primary Statistic

Primary Statistic - The basic numerical result in the output.

Primary Statistics include:

 

Selecting - Click on desired setting, such as "Pregnancies".

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Setting Rows, Row Sort, Columns

Year WhiteBlackHispanicOther
1990 1,032 302 545 79
1991 1,134 317 555 88
1992 1,236 348 602 86
1993 1,166 335 590 92

Sample Table: Year Rows - Race Columns

Selecting - Click on desired setting, such as "Age" or "Race".

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Primary Statistic, Row, and Column Conflicts

If there is a conflict between statistic, rows, or columns:

Examples of conflicting settings (mismatches) include:

To correct a conflict, select a different primary statistic, row, or column setting.

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Selecting Data Variables

Data variables include - age of mom, race, county of residence, gestational age, year.

Example selector for data variable:  

Change Groups

Practice for selecting data variable:

  1. First, select one value - Click on "1 to 4".
  2. Next, add one value - Shift-Click on "5 to 14".
  3. Next, delete one value - Shift-Click on "1 to 4".
  4. Next, select several - Hold down mouse, drag over several.
  5. Next, add all values  - Click on "All Ages".
  6. Finally, change groups - Click on "Change Groups" at bottom.

Shift-Click definition: hold down shift key while clicking mouse.


Appearance of Data Selector for Geographic Areas:


Select areas - move from left to right

Unselect areas - move from right to left


To select geographic areas (in actual interface only):

  1. Highlight unselected area - Click on "Armstrong".
  2. Move area to "selected" column - Click on green arrow.

To unselect geographic areas (in actual interface only):

  1. Highlight selected area - Click on "Mills".
  2. Move area to "unselected" column - Click on red arrow.

Notes on geographic selection:

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Selecting Data Variable Groupings

Certain data variables allow different "groupings".
For example, 5-year or 10-year age groups.

To change the grouping:

 

Sample data grouping popup

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Other Settings

If you click on "Other Settings" in the Main Window, a separate "Other Settings Window" pops up. It lets you modify the following options:

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Pie Chart Settings


Pie Chart


Pie charts show the parts of a whole.

Ways to customize Vitalnet pie charts:

Note: Pie charts are made ONLY if following conditions met:

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Bar Chart Settings


Bar chart


Bar charts compare amounts of different things.

Ways to customize Vitalnet bar charts:

Note: Black and white chart uses hatch and gray-scale patterns.

Note: Bar charts are made ONLY if following conditions met:

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Line Chart Settings


Line Chart


Line charts show movement or change.

Ways to customize Vitalnet line charts:

Note: Black and white lines are rendered as dot and dash patterns.

Note: Line charts are made ONLY if following conditions met:

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Map Settings


VitalWeb Map


Maps display results geographically.

Ways to customize Vitalnet maps:

Time trend maps require:

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Map Color Palettes


Color mix palettes:

                                          Summer Colors  
                                          Earth Tones  


Gray scale palettes:

                                          Gray Scale #1  
                                          Gray Scale #2  


One-color scales:

                                          Purple Scale  
                                          Brown Scale  


Two-color scales:

                                          Red-Yellow Scale  
                                          Red-Blue Scale  
                                          Brown-Blue Scale  
                                          Brown-Green Scale  


Recommendations for selecting color palette:

References and research used to help design Vitalnet palettes:

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Getting Results

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Viewing Results

After you click "Make Map" or "Make Table", a separate "Results Window" appears.

If graphics do not display in the output, try refreshing the browser.

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Printing Results

To print results from your browser, do one of the following:

If too wide or long:

Spreadsheet or word processor printing:

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Saving Results

To save results displayed in a browser, do one of the following:

To save alternate data format, click on footnote links:

To save a map as an image file, minus surrounding text:

Suggestions on naming files:

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Glossary

Area set - One or more areas combined.

ASCII file - A text file, with only alphabetical, numerical, and punctuation characters, like you would see in normal text. Vitalnet can produce output in ASCII format.

Bar graphs - A section of a Vitalnet table. Gives a useful graphical representation of the data. May be omitted from the output table.

CDC - Centers for Disease Control and Prevention. US federal health agency.

Cell - A space for a single numerical result in a table, at a row-column intersection.

Cell suppression - An asterisk "*" is placed in cells with fewer deaths than a limit set by the user. Row / column totals with exactly one suppressed cell in the row / column are also suppressed. If more than one cell in the row / column is suppressed, the row / column total is displayed.

Columns - Vertical groupings of data in a Vitalnet table, such as a column for each race group.

Confidence interval (confidence limits) - A range of values within which the true value of a variable is thought to lie, with a specified level of confidence. For a result of 23.5, a confidence interval might be (23.1-23.9). The smaller the interval, the more reliable the result. If the 95% confidence intervals do not overlap, there is a statistically significant difference. Vitalnet uses several methods to calculate confidence intervals. The output table documents which method was used.

Confidence level - The likelihood that the true value of a variable is within a confidence interval. For example, for confidence intervals at the 95% level, we are statistically 95% certain that the actual value of the variable is within the interval.

Councils of Government (COG's) - Groupings of Texas counties. There are 24 COG's.

CSV format - Also called comma-separated-value format. A type of computer output that is readily imported into other software, especially spreadsheet software. Each output item is separated by a comma from surrounding items, and each output text item is surrounded by "double quotes". Vitalnet produces CSV output. A comma-separated-value file has "csv" extension.

Data mining - Finding unexpected relationships in a data set. Similar to exploratory data analysis. Vitalnet is excellent at data mining. Of course, keep in mind that the more you look, the more unusual events you will find, just by chance.

Data warehouse - Software system, such as Vitalnet, making large complex databases readily available for querying and analysis.

dBASE III format - A widely used file format derived from the database software of the same name. Files in this format may be readily imported into almost any data analysis, graphing, mapping, or other presentation software. Has dbf extension. Suppressed cells are represented as the number "-1". Vitalnet produces dBASE III output.

Denominator - The number on the bottom of a fraction. Population data are often referred to as "denominator data", as they are used as denominators to calculate population-based rates.

Export - Produce output that can be read into other computer programs. Vitalnet produces ASCII text, comma-separated-value (csv extension), HTML (htm extension), and dBASE III (dbf extension) files for export.

Fetal death - A fetus showing no evidence of life after a complete birth.

Fetus - Term applied to the unborn offspring from the date of conception until the completion of pregnancy.

Filter variable - A variable solely used to filter which records are included in the output. For example, for a single table with race rows and sex columns, age is a filter variable.

Footer - Last part of a Vitalnet table. Lists other details of the analysis, such as the date and time produced, and the data sources. Each table is assigned a unique ID, listed in the footer, to assist you in keeping track of and organizing analyses.

Gestational age - Number of completed weeks elapsed between the first day of the last normal menstrual period and the pregnancy outcome. Gestational age is expressed in completed weeks.

Header - First part of a Vitalnet table. Lists basic parameters you selected to define the table, such as years analyzed.

Import - Read information into a computer program. ASCII text, CSV files, HTML, and dBASE III files from Vitalnet are easily imported into word processing, spreadsheet, data analysis, mapping, graphing, and other presentation software programs.

Least-squares - A standard method for fitting the best straight line to a set of points. Produces a Y-intercept and a slope defining the least-squares line.

Multiple age groups - One age group for each row or column of a table. Example: Birth-19, 20-39, 40-59, 60-99+.

NCHS - National Center for Health Statistics. US health statistics agency. Part of the CDC.

PHR - Public Health Region. Groupings of Texas counties. There are 11 PHRs.

Population - The number of people living in an area.

Pregnancy outcome - A birth, fetal death, or abortion.

Pregnancy rate - The number of pregnancies per 1,000 total or female population.

Primary Statistic - The basic type of numerical result displayed in a table, chart, or map. For example, pregnancy rate.

Public Health Regions (PHR) - Groupings of Texas counties. There are 11 Public Health Regions.

Rows - Horizontal lines in a Vitalnet table, such as a row for each race group.

Row sort settings - Vitalnet rows may be sorted in ascending or descending order.

Set - A combination of one or more things. For example, several areas may be combined into an area set.

Single age group - Only one age group (30-49, for example) is selected. A single age group is used for tables that do not have age columns or age rows.

Statistic - See "Primary Statistic".

Table - A set of results produced by Vitalnet. A table has several parts:

  1. Header - lists basic analysis settings
  2. Data section - numerical results
  3. Horizontal bar graphs - graphical representation of the data
  4. Footer - lists other analysis settings

UNIX - A widely used computer operating system. Vitalnet can run on UNIX, either remotely, locally, or by client-server.

Unknown Values - Unknowns are automatically inserted into a Vitalnet table. For example, a separate row (or column) for unknown race. The rate is assigned as zero for an unknown category, since there is no population denominator to use. Some fields, such as sex for certain data sets, are never unknown, so unknowns are left off the table. When, such as for age-adjusted rates, the unknown variable (age) is different from the rows or columns, the number of unknowns for age is shown below the table.

Windows - A widely used set of PC operating systems, including Windows 3.1, 95, 98, NT, 2000, and XP. Vitalnet will run under any version of Windows.

World Wide Web (WWW) - A widely used part of the internet that may be easily accessed with a web browser. Vitalnet runs on the WWW.

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County groupings

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Statistical Methods

The "Primary Statistic" (numerical outcome) is the basic type of number in a Vitalnet table. It is best understood by looking at the examples below.

Pregnancies - The number of reported pregnancy outcomes (live births, fetal deaths, and abortions).

Pregnancy Rate per 1,000 Total - Pregnancies per 1,000 total population.

Pregnancy Rate per 1,000 Women - Pregnancies per 1,000 female population.

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Confidence Intervals

Definition - A "confidence interval" is a range of values within which the true value of a variable is thought to lie, with a certain degree of confidence (80%, 90%, 95%, etc). A "confidence level" is the degree of confidence, such as 95%.

Selection - A larger percentage (such as 99%) is more stringent than a smaller percentage (such as 80%). Use 95% if you are unsure.

Interpretation - The smaller the interval, the more reliable the result. Two results that overlap at the 95% level are less likely to be significantly different than results which don't overlap.

Methods - The method Vitalnet uses to calculate confidence intervals depends on the context. The method is listed in the footnotes to the table.

Z * Rate / Sqrt (Events) - This method is recommended by the NCHS. Technical Appendix of the Vital Statistics of the United States, Vol II, Mortality, Part A

Poisson distribution - This method is valid if events are relatively rare, which usually applies to health events. Scientific Tables, Diem and Lentner (ed), Giegy, 1970, page 189.

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95% Poisson Confidence Limits

Events Lo Factor Hi Factor Events Lo Factor Hi Factor Events Lo Factor Hi Factor
1 0.025318 5.571647 70 0.779549 1.263440 4,000 0.969250 1.031230
2 0.121104 3.612346 80 0.792938 1.244587 5,000 0.972473 1.027911
3 0.206224 2.922426 90 0.804118 1.229170 6,000 0.974857 1.025464
4 0.272466 2.560398 100 0.813640 1.216268 7,000 0.976711 1.023564
5 0.324697 2.333667 200 0.866209 1.143395 8,000 0.978207 1.022034
6 0.366982 2.176580 300 0.890041 1.116362 9,000 0.979446 1.020767
7 0.402052 2.060382 400 0.904401 1.100401 10,000 0.980496 1.019696
8 0.431729 1.970399 500 0.914267 1.089575 20,000 0.986189 1.013907
9 0.457263 1.898312 600 0.921584 1.081617 30,000 0.988716 1.011348
10 0.479539 1.839036 700 0.927291 1.075453 40,000 0.990224 1.009824
20 0.610826 1.544419 800 0.931904 1.070497 50,000 0.991254 1.008785
30 0.674696 1.427562 900 0.935734 1.066400 60,000 0.992014 1.008018
40 0.714415 1.361716 1,000 0.938980 1.062941 70,000 0.992606 1.007422
50 0.742219 1.318376 2,000 0.956653 1.044307 80,000 0.993082 1.006942
60 0.763105 1.287198 3,000 0.964536 1.036105 90,000 0.993477 1.006544

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Data Sources and Limitations


VitalWeb Standard uses data from authoritative sources.

Pregnancy data - All Texas birth, fetal death, and abortion data were provided by the Bureau of Vital Statistics, Texas Department of Health.

Population data - Pre-1990 population data are from the Center for Health Statistics, Texas Department of Health. Population data for 1990 and subsequent years are from the State Population Center at Texas A&M.

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Links to Related Resources

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Department of State Health Services Contacts


For additional assistance with analyzing and interpreting the data, contact:

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Legal Information

Trademarks - "Discover the future of health data", "We care about your health data", Birtha, Epidemic, Epigram, Medtrend, Multicod, Oncogram, Poptrend, Pregdata, Vitalnet, VitalPro, VitalPro for Unix/Windows, VitalPro for Windows, VitalWeb, VitalWeb Standard, and VitalWeb Wizard are trademarks of Expert Health Data Programming, Inc. (EHDP). Vitalnet® and VitalWeb® are registered trademarks.

Other copyright owners - Vitalnet uses the GD graphics library, and the Ploticus data display engine, under the terms of the copyright owners. GD and Ploticus source code are freely available.

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Copyright 1999-2007 - Expert Health Data Programming, Inc; - All rights reserved.   Contact EHDP