Dataset: CDC PRAMStat Pregnancy Risk

About this Dataset

CDC PRAMStat Pregnancy Risk

Health Attitudes & Experiences from 2007

About this dataset

The CDC PRAMStat Data for 2007 is a comprehensive dataset spanning multiple states and topics surrounding maternal health. It provides state-specific population-based data related to the attitudes and experiences of women before, during, and after pregnancy. This dataset was gathered in conjunction with the Centers for Disease Control and Prevention (CDC) Pregnancy Risk Assessment Monitoring System (PRAMS) project which works to improve the health of mothers and infants by collecting data on issues such as abuse, alcohol use, contraception, breastfeeding, mental health, obesity, prenatal-care sleep behavior smoke exposure stress tens use WIC Medicaid infant health and unintended pregnancy. Additionally this dataset includes information regarding data value unit type footnote symbol standard error sample size break out category and geolocation of participating surveyors. With this granular level of detail researchers can understand a wide array of insights about current maternal healthcare trends providing key takeaways into what areas should be further studied or improved upon in order to better support mothers around the country

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How to use the dataset

This dataset has multiple entries for different locations across all years from 2007 onwards, so it’s important to note that the information you see may not necessarily apply to the year or location you are researching! Each entry contains information about its location (location abbreviation, description), question type (class & topic), source of data (datasource) as well as response data value type and footnote symbol. More specific details such as sample size, break out classification and standard error values are also available in each entry so you can get an idea of the accuracy of each response.

To make sense of this vast amount of information in a logical way it is best to start off by defining what questions or analyses you want to perform with this data set. Once you have your objectives set it is easy to narrow down what columns are relevant based on those needs: select only those columns containing attributes critical in achieving your analysis purpose while leaving out any redundant attributes that do not support your current goal. Finally remember when working with surveillance system datasets such as this one accuracy is always important – double check all calculations/results against another source in order to ensure completeness & correctness!

Research Ideas

Tracking changes in maternal health over time: Thanks to the year column, PRAMStat Data could be used to compare and analyze the trends of maternal health and well-being over multiple years.

Comparing state level variability in maternal health: By examining the variables such as LocationAbbr, LocationDesc, Class and Response the users can compare how different states vary in their approach to maternal health each year.

Generating insights by drilling down into specific topics: Break_Out_Category allows for drilling down on focused topics such as “Obesity” or “Smoke Exposure” allowing for more granular analysis of various issues thanks to PRAMStat Data data points on each of these topics

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: Open Database License (ODbL) v1.0

You are free to:

Share - copy and redistribute the material in any medium or format.

Adapt - remix, transform, and build upon the material for any purpose, even commercially.

You must:

Give appropriate credit - Provide a link to the license, and indicate if changes were made.

ShareAlike - You must distribute your contributions under the same license as the original.

Keep intact - all notices that refer to this license, including copyright notices.

No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.

No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: CDC_PRAMStat_Data_for_2007.csv

Column name	Description
Year	Year of the survey. (Integer)
LocationAbbr	Abbreviation of the location. (String)
LocationDesc	Description of the location. (String)
Class	Classification of the survey. (String)
Topic	Topic of the survey. (String)
Question	Question asked in the survey. (String)
DataSource	Source of the data. (String)
Response	Response to the survey question. (String)
Data_Value_Unit	Unit of the data value. (String)
Data_Value_Type	Type of the data value. (String)
Data_Value_Footnote_Symbol	Symbol of the data value footnote. (String)
Data_Value_Std_Err	Standard error of the data value. (Float)
Sample_Size	Sample size of the survey. (Integer)
Break_Out	Break out of the survey. (String)
Break_Out_Category	Category of the break out. (String)
Geolocation	Geolocation of the survey. (String)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Health.

Tables

Cdc Pramstat Data For 2007

@kaggle.thedevastator_cdc_pramstat_pregnancy_risk.cdc_pramstat_data_for_2007

8 MB
621100 rows
28 columns


CREATE TABLE cdc_pramstat_data_for_2007 (
  "index" BIGINT,
  "year" BIGINT,
  "locationabbr" VARCHAR,
  "locationdesc" VARCHAR,
  "class" VARCHAR,
  "topic" VARCHAR,
  "question" VARCHAR,
  "datasource" VARCHAR,
  "response" VARCHAR,
  "data_value_unit" VARCHAR,
  "data_value_type" VARCHAR,
  "data_value" DOUBLE,
  "data_value_footnote_symbol" VARCHAR,
  "data_value_footnote" VARCHAR,
  "data_value_std_err" VARCHAR,
  "low_confidence_limit" DOUBLE,
  "high_confidence_limit" DOUBLE,
  "sample_size" DOUBLE,
  "break_out" VARCHAR,
  "break_out_category" VARCHAR,
  "geolocation" VARCHAR,
  "classid" VARCHAR,
  "topicid" VARCHAR,
  "questionid" VARCHAR,
  "locationid" DOUBLE,
  "breakoutid" VARCHAR,
  "breakoutcategoryid" VARCHAR,
  "responseid" VARCHAR
);