California Birth Data - VitalWeb Standard - Online Help




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Table of Contents

  1. Introduction

    Quick Guide to Using VitalWeb Standard
    Multiple Windows
  2. Table Settings

    Primary Statistic
    Table Axes (Rows and Columns)
    Statistic / Table Axis Conflicts
  3. Data Variables

    Categorical Variables
    Range Variables
    Statistic / Variable Conflicts
    Other Settings
  4. Graphic Settings

    Pie Chart Settings
    Line Chart Settings
    Bar Chart Settings
    Map Settings
    Map Color Palettes
  5. Producing and Using Results

    Getting Results
    Viewing Results
    Printing Results
    Saving Results
  6. Other Information

    Glossary
    County Groupings
    95% Poisson Confidence Limits
    Statistical Methods
    Confidence Intervals
    Data Sources and Limitations
    Links to Related Resources
    Whom to Contact
    Legal Information



Quick Guide to Using VitalWeb Standard

Start Button First, select settings from within the Main Window:

Next, whenever you are ready:

After you have made output:



Multiple Windows

VitalWeb Standard uses multiple browser windows.

Screenshot: Multiple Windows Main Window:

Map Options Window:

Other Settings Window:

Help Window:

Results Window:

Other Windows:



Primary Statistic

Primary Statistic - The basic numerical result in the output.

Primary statistics include: Births · Births per 1,000 People · Births per 1,000 Female · General Fertility Rate · Cesarean Rate - Total · Cesarean Rate - Primary · Cesarean Rate - Repeat · % Births - Under 1500 gms · % Births - Under 2500 gms · % Births - Over 3999 gms · % Births - Early Prenatal Care · % Births - Adequate Kessner · % Births - Inadequate Kessner · % Births - Early Delivery

Selecting - Click on desired setting, such as Births.

 



Table Axes (Rows and Columns)

Year WhiteBlackHispanicOther
1990 1,032 302 545 79
1991 1,134 317 555 88
1992 1,236 348 602 86

Example Table: Year Rows - Race Columns

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



Statistic / Table Axis Conflicts

No Left Turn Sign 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.



Selecting Data Variables

Data variables include - age of mother, birth weight, race, county of residence of mother, delivery method, sex of baby, gestational age, prenatal care visits, year of birth.

Example selector for data variable:  


Change Groups

Practice for selecting data variable:

  1. Select one value - Click on "Under 1".
  2. Add one value to selection - CTL-Click on "5 to 14".
  3. Delete one value from selection - CTL-Click on "Under 1".
  4. Select several values - Hold down mouse, drag over several.
  5. Select all values - Click on "All Ages".
  6. Change groups - Click on "Change Groups" at bottom.

Note: Can only "Change Groups" for "range variables", such as age or year.
Note: "CTL-Click" means: While holding down control key, click 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:



Selecting Data Variable Groupings

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

To change the grouping:

 

Example data grouping popup



Statistic / Variable Conflicts

Sometimes, a conflict exists between a variable and a population-based rate. Vitalnet automatically prevents this from producing misleading output.

This is best shown with an example: Suppose there are 408,000 births, and the population is 12,000,000 females. The birth rate is 34 births per 1,000 females (408,000 / 12,000,000). Now, suppose we limit the analysis to women with 12 years education, with 108,000 births to such women. The result would seem to be 9 births per 1,000 such women (108,000/ 12,000,000). But of course this is totally wrong. The problem is caused because the denominator is not adjusted.

To resolve this problem, when Vitalnet makes a rate calculation, it automatically adds all categories to demographic variables that are not included in the population data set.



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:

Example Selector, for One Setting:



Pie Chart Settings


Pie Chart

Using pie charts:

Ways to customize Vitalnet pie charts:

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



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:



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:



Map Settings


VitalWeb Map


Maps display results geographically.

Ways to customize Vitalnet maps:

Time trend maps require:



Map Color Palettes

                                                        Brown-BlueGreen  
                                                        Pink-Green  
                                                        Purple-Green  
                                                        Purple-Orange  
                                                        Red-Blue  
                                                        Red-Grey  
                                                        Red-Yellow-Blue  
                                                        Red-Yellow-Green  
                                                        Spectral  
                                                        Blue  
                                                        Blue-Green  
                                                        Blue-Purple  
                                                        Green-Blue  
                                                        Green  
                                                        Grey  
                                                        Orange  
                                                        Orange-Red  
                                                        Purple-Blue  
                                                        Purple-Blue-Green  
                                                        Purple-Red  
                                                        Purple  
                                                        Red-Purple  
                                                        Red  
                                                        Yellow-Green  
                                                        Yellow-Green-Blue  
                                                        Yellow-Orange-Brown  
                                                        Yellow-Orange-Red  

References and research used to help design Vitalnet palettes:



Getting Results

Go Sign To produce results:



Viewing Results

Binoculars After you click "Make Map" or "Make Table", a separate "Results Window" appears. To view results:

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



Printing Results

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

If too wide or long:

Spreadsheet or word processor printing:



Saving Results

File Cabinet 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:



Glossary

Apgar score - A summary measure of the condition of the infant based on heart rate, respiratory effort, muscle tone, reflex irritability, and color. Each factor is given a score of 0, 1, or 2; the sum of these five values is the Apgar score, ranging from 0 to 10.

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.

Birth rate - Births per 1,000 female or total population.

Birth weight - The weight of an infant at delivery, expressed in grams.

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.

Cesarean rate - Number of cesareans / number of births.

Cesarean rate - primary - FC / (FC + FV). Numerator is number of first-time cesarean deliveries (FC). Denominator is number of first-time cesarean deliveries (FC) plus number of first-time vaginal deliveries (FV).

Cesarean rate - repeat - RC / (RC + VA). Numerator is number of repeat cesarean deliveries (RC). Denominator is number of repeat cesarean deliveries (RC) plus number of vaginal deliveries after previous cesarean (VA).

CNM - Certified Nurse Midwife (birth attendant category)

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.

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.

DO - Doctor of Osteopathy (birth attendant category)

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.

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.

General fertility rate - Total live births (to all women) per 1,000 women age 15-44 in a given year.

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

General fertility rate - Live births per 1,000 women age 15-44 in a given year.

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

High birth weight - A birth weight 4,000 grams or greater.

High birth weight percent - Percent of births with birth weight 4,000 grams or greater.

HSA - Health Service Area. Groupings of California counties. There are 14 HSA's.

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.

Infant - An individual less than one year of age.

Infant death - Death of a liveborn infant from the moment of birth to the end of the first year of life.

Intrauterine growth retardation - Birth weight in the lowest decile of birth weight for gestational age. An alternative definition is birth weight less than 2,500 grams (low birth weight) in a full-term infant (born at or after 37 weeks gestation).

Kessner adequate percent - Numerator is number of births with adequate Kessner index. Denominator is number of births with known Kessner index (unknown Kessner scores are not included in denominator). This is a measure of the adequacy of prenatal care. A higher Kessner adequate percent for a population indicates better prenatal care.

Kessner index - Method of categorizing adequacy of prenatal care, based on month of pregnancy care started, number of visits, and length of gestation. This takes both amount and start of prenatal care into account, and adjusts for the fact that women with short gestations have less time in which to make prenatal care visits.

Least-squares - A standard method for fitting the best straight line to a set of points. Produces a 1 -intercept and a slope defining the least-squares line.

Live birth order - Live birth order is the number of children born alive to a mother, including the current baby. If the mother has three previous live births, the live birth order for the next birth is four. Another example: If the mother has one previous live birth, and has twins this time, the live birth order for the first twin is two, and is three for the second twin.

Low birth weight - A birth weight less than 2,500 grams (5 pounds, 9 ounces).

Low birth weight percent - Percent of births with birth weight less than 2,500 grams (5 pounds, 9 ounces).

MD - Doctor of Medicine (Physician) (birth attendant category)

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.

Neonatal death - Death of a liveborn infant within the first 27 days, 23 hours, and 59 minutes of life.

Neonatal death rate - Numerator = neonatal deaths x 1000. Denominator = number of liveborn infants.

Neonatal period - Period from birth through the first 27 days, 23 hours, and 59 minutes of life.

Neonate - A newborn infant during the first 27 days, 23 hours, and 59 minutes of life.

Perinatal period - Period from the 20th completed week of gestation (140 days) through the first 27 days, 23 hours, and 59 minutes of life.

Place of occurrence - The geographic location where a birth occurred.

Place of occurrence birth data - Data compiled by the location where the birth occurred, without regard to the place of residence of the mother.

Place of residence - The geographic location where a birth occurred.

Plurality - Number in a birth, such as twins or triplets.

Population - The number of people living in an area.

Postneonatal - Period between 28 days and one year of age.

Post term birth - Birth after the 41st week of gestation. Birth during or after the 42nd week of gestation.

Preterm birth - Birth occurring before the 38th week of gestation. Birth occurring during or before the 37th week of gestation.

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

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

Term birth - Birth during the four week period after the 37th week of gestation and before the 42nd week of gestation. Birth during the 38th through 41st week of gestation.

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.

Very low birth weight - A birth weight less than 1,500 grams (3 pounds, 5 ounces).

Very low birth weight percent - Percent of births with birth weight less than 1,500 grams (3 pounds, 5 ounces).

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.



County Groupings



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.

Births - The number of live births.

Birth Weight Percent - The percent of births that are either:

Cesarean Rate - One of the three following rates:

Note: Births with unknown delivery method are excluded from calculation of cesarean rates.

Early Prenatal Care Percent - The percent of births where the mother received care by or before a certain month, such as the third month of pregnancy.

Adequate Prenatal Care Percent - The percent of births with an "adequate prenatal care" Kessner index.

Birth Rate per 1,000 Total - Births per 1,000 total population. Also known as "crude birth rate" or "live birth rate".

Birth Rate per 1,000 Women - Births per 1,000 female population.

General Fertility Rate - Total number of births to women of any age, multiplied by 1,000, divided by the number of women age 15-44.



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.



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



Data Sources and Limitations

VitalWeb Standard uses data from authoritative sources.

Birth data - All California birth data were provided by the Department of Health Services / Office of Health Information and Research.

Population data - All California population data were provided by the Department of Finance.



Links to Related Resources

Internet resources related to Birth Data:



Whom to Contact

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



Legal Information

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

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