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Pregnancies Dataset

Pregnancy, Child, Birth, Mother, Health, Child Weight By: [source]

Description

The Child Health and Development Studies investigate a range of topics. One study, in particular, considered all pregnancies between 1960 and 1967 among women in the Kaiser Foundation Health Plan in the San Francisco East Bay area. We do not have ideal provenance for these data. For a better documented and more recent dataset on a similar topic with similar variables, see births14. Additionally, Gestation dataset in the mosaicData package also contains similar data.

Field Names and Descriptions

This dataset provides a comprehensive collection of maternal health data, focusing on key health indicators throughout pregnancy. It includes essential details such as the mother’s age, gravida (number of pregnancies), weight, height, blood pressure, gestational age, and fetal health status. In addition to these primary metrics, the dataset captures important medical test results, including anemia, blood sugar levels, and fetal heart rate, providing a thorough overview of both maternal and fetal well-being. The dataset categorizes pregnancies into high-risk and non-high-risk based on various factors such as abnormal blood pressure readings, test results, and fetal health conditions. This classification can be vital for prenatal care and early risk detection, facilitating interventions for at-risk pregnancies. Collected manually from healthcare records, the dataset ensures data accuracy and reliability. Each entry has been anonymized to protect patient privacy and guarantee ethical standards. This dataset serves as an invaluable resource for research in maternal health, predictive analytics, and pregnancy outcome studies. It can be used for developing models to assess pregnancy risks, guide healthcare interventions, and improve prenatal care strategies globally. Researchers, healthcare professionals, and data scientists can leverage this dataset to gain deeper insights into pregnancy-related health trends and explore potential factors influencing maternal and fetal health outcomes.

Link: https://data.mendeley.com/datasets/8k9pvpmykk/1#:~:text=This%20dataset%20provides%20a%20comprehensive%20collection%20of%20maternal,blood%20pressure%2C%20gestational%20age%2C%20and%20fetal%20health%20status.

BY: Pregnant Women Receiving Prenatal Care data was reported at 99.900 % in 2019. This records an increase from the previous number of 99.700 % for 2012. BY: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 99.800 % from Dec 1999 (Median) to 2019, with 4 observations. The data reached an all-time high of 99.900 % in 2019 and a record low of 99.400 % in 2005. BY: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Social: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.;UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.;Weighted average;Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.

The COVID-19 pandemic was a substantial stressor, especially for pregnant individuals.

• This Dataset aimed to understand the impact of COVID-19-related stresses on pregnant individuals and their infants and collected survey-based data across Canada as part of the Pregnancy during the COVID-19 Pandemic (PdP) project.

• Here are some information about the data:

• Maternal_Age: Maternal age (years) at intake

• Household_Income: What is the total household income, before taxes and deductions, of all the household members from all sources in 2019

• Maternal_Education: Maternal education 1- Less than high school 2- diploma 3- High school diploma 4- College/trade school 5- Undergraduate degree 6- Master's degree 7- Doctoral Degree

• EPDS: Edinburgh Postnatal Depression Scale (you can find the survey on the internet)

• PROMIS_Anxiety: Score from 7 to 35 with higher scores indicating greater severity of anxiety.

• GAbirth: Gestational age at birth (in weeks)

• Delivery_Date: Delivery Date (Dates converted to month/year of birth)

• Birth_Length: Birth length in cm

• Birth_Weight: Birth weight in grams

• Delivery_Mode: Vaginally or Caesarean-section (c-section)

• NICU_stay: Was your infant admitted to the NICU?

• Language: Survey language

• Threaten_Life: How much do (did) you think your life is (was) in danger during the COVID-19 pandemic? (0-100)

• Threaten_Baby_Danger: How much do (did) you think your unborn baby's life is (was) in danger at any time during the COVID-19 pandemic? (0-100)

• Threaten_Baby_Harm: How much are you worried that exposure to the COVID-19 virus will harm your unborn baby? (0-100)

I hope you find it useful

Between 2021 and 2023, the average additional health cost associated with pregnancy, childbirth, and postpartum care in the U.S. amounted to 20,416 U.S. dollars for women in large employer private health plans, compared to women who did not give birth. Of which, 2,743 was paid out of pocket. The additional health cost of pregnancy and childbirth was even higher for those who had a cesarean section (c-section) compared to those who delivered their baby vaginally.*

Trinidad and Tobago TT: Pregnant Women Receiving Prenatal Care data was reported at 95.100 % in 2011. This records a decrease from the previous number of 95.700 % for 2006. Trinidad and Tobago TT: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 94.750 % from Dec 1987 (Median) to 2011, with 10 observations. The data reached an all-time high of 97.600 % in 1987 and a record low of 60.700 % in 1997. Trinidad and Tobago TT: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.

Saudi Arabia SA: Pregnant Women Receiving Prenatal Care data was reported at 97.000 % in 2009. This stayed constant from the previous number of 97.000 % for 2008. Saudi Arabia SA: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 97.000 % from Dec 1996 (Median) to 2009, with 3 observations. The data reached an all-time high of 97.000 % in 2009 and a record low of 90.000 % in 1996. Saudi Arabia SA: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Saudi Arabia – Table SA.World Bank: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.

This map shows the teen pregnancy rate per 1,000 females age 15 to 17 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower percentage of teen pregnancy. The darker shaded counties have a higher percentage of teen pregnancy. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

El Salvador SV: Pregnant Women Receiving Prenatal Care data was reported at 96.000 % in 2014. This records an increase from the previous number of 94.000 % for 2008. El Salvador SV: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 86.000 % from Dec 1993 (Median) to 2014, with 5 observations. The data reached an all-time high of 96.000 % in 2014 and a record low of 68.700 % in 1993. El Salvador SV: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s El Salvador – Table SV.World Bank: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.

This statistical release makes available the most recent monthly data on NHS-funded maternity services in England, using data submitted to the Maternity Services Data Set (MSDS). This is the latest report from the newest version of the data set, MSDS.v.2, which has been in place since April 2019. The new data set was a significant change which added support for key policy initiatives such as continuity of carer, as well as increased flexibility through the introduction of new clinical coding. This was a major change, so data quality and coverage initially reduced from the levels seen in earlier publications. MSDS.v.2 data completeness improved over time, and we are looking at ways of supporting further improvements. This publication also includes the National Maternity Dashboard, which can be accessed via the link below. Data derived from SNOMED codes is used in some measures such as those for birthweight, and others will follow in later publications. SNOMED data is also included in some of the published Clinical Quality Improvement Metrics (CQIMs), where rules have been applied to ensure measure rates are calculated only where data quality is high enough. System suppliers are at different stages of development and delivery to trusts. In some cases, this has limited the aspects of data that can be submitted in the MSDS. To help Trusts understand to what extent they met the Clinical Negligence Scheme for Trusts (CNST) Maternity Incentive Scheme (MIS) Data Quality Criteria for Safety Action 2 Year 6, we have been producing a CNST Scorecard Dashboard showing trust performance against this criteria. The final results for the CNST MIS Y6 SA2 assessment, using July 2024 data, are now available in this dashboard, and can be accessed via the link below. This dashboard also includes data for a few non-CNST MSDS data quality priorities and last month we introduced into the dashboard a new data quality measure on birth site code recording, in accordance with Maternity and Neonatal Programme priorities. This new measure will not be assessed as part of the Maternity Incentive Scheme. This month, a small improvement was made to how the CQIMReadmissions metric uses discharge date information and this has resulted in a small change in the data output. As a result, the published CQIMReadmissions figures from this month's publication onwards are not fully comparable to the figures from earlier months. Last month, MSDS metrics published to support Saving Babies Lives Care Bundle (SBLCB) monitoring were updated to align with the contents of SBLCB version 3. As a result some SBLCB version 2 metrics have been removed from the Measures file and others have been renamed to align with SBLCB version 3 naming conventions. More information about the CQIMReadmissions change and the MSDS metrics published to support SBLCB are available in the accompanying Metadata file. The percentages presented in this report are based on rounded figures and therefore may not total to 100%.

Mexico MX: Pregnant Women Receiving Prenatal Care data was reported at 98.500 % in 2015. This records an increase from the previous number of 97.200 % for 2014. Mexico MX: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 97.200 % from Dec 1987 (Median) to 2015, with 7 observations. The data reached an all-time high of 98.500 % in 2015 and a record low of 77.500 % in 1987. Mexico MX: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.

Thailand TH: Pregnant Women Receiving Prenatal Care data was reported at 98.100 % in 2016. This stayed constant from the previous number of 98.100 % for 2012. Thailand TH: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 96.050 % from Dec 1987 (Median) to 2016, with 8 observations. The data reached an all-time high of 99.100 % in 2009 and a record low of 80.000 % in 1987. Thailand TH: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Thailand – Table TH.World Bank.WDI: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.

Laos LA: Pregnant Women Receiving Prenatal Care data was reported at 54.200 % in 2012. This records a decrease from the previous number of 71.000 % for 2010. Laos LA: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 31.900 % from Dec 2000 (Median) to 2012, with 6 observations. The data reached an all-time high of 71.000 % in 2010 and a record low of 26.500 % in 2001. Laos LA: Pregnant Women Receiving Prenatal Care data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank.WDI: Health Statistics. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.

The data shows the statistics of different item-wise reports on a cumulative yearly basis in states up to the sub-district level in West Bengal. It included 1) Ante Natal Care (ANC) - Antenatal care (ANC) is a means to identify high-risk pregnancies and educate women so that they might experience healthier delivery and outcomes. 2) Deliveries - The delivery of the baby by the pregnant women 3) Number of Caesarean (C-Section) deliveries - Caesarean delivery (C-section) is used to deliver a baby through surgical incisions made in the abdomen and uterus. 4) Pregnancy outcome & details of new-born - The records kept of the pregnancy outcome along with the details of new-born 5) Complicated Pregnancies - The different pregnancies that were not normal and had complications 6) Post Natal Care (PNC) - Postnatal care is defined as care given to the mother and her new-born baby immediately after the birth of the placenta and for the first six weeks of life 7) Reproductive Tract Infections/Sexually Transmitted Infections (RTI/STI) Cases - The records of reproductive tract infections along with the records of the sexually transmitted cases 8) Family Planning - The different methods used by families to keep track of family 9) CHILD IMMUNISATION - The records of child immunisation which are records of vaccination 10) Number of cases of Childhood Diseases (0-5 years) - The records of the number of cases of childhood diseases within the age of 5 years old 11) NVBDCP - The National Vector Borne Disease Control Programme (NVBDCP) is one of the most comprehensive and multi-faceted public health activities in the country and concerned with the prevention and control of vector-borne diseases, namely Malaria, Filariasis, Kala-azar, Dengue and Japanese Encephalitis (JE). 12) Adolescent Health - The record of the conditions of adolescent health 13 ) Directly Observed Treatment, Short-course (DOTS) - Directly observed treatment, short-course (DOTS, also known as TB-DOTS) is the name given to the tuberculosis (TB) control strategy recommended by the World Health Organization 14) Patient Services - Patient Services means those which vary with the number of personnel; professional and para-professional skills of the personnel; specialised equipment, and reflect the intensity of the medical and psycho-social needs of the patients. 15) Laboratory Testing - A medical procedure that involves testing a sample of blood, urine, or other substance from the body. Laboratory tests can help determine a diagnosis, plan treatment, check if the treatment works, or monitor the disease over time. 16) Details of deaths reported with probable causes - The reports of deaths recorded with possible reasons are given in a detail 17) Vaccines - The reports of vaccines which are recorded 18) Syringes - It is the number of syringes that are used and recorded 19) Rashtriya Bal Swasthaya Karyakram (RBSK) - Rashtriya Bal Swasthya Karyakram (RBSK) is an important initiative aiming at early identification and early intervention for children from birth to 18 years to cover 4 'D's viz. Defects at birth, Deficiencies, Diseases, Development delays, including disability. 20) Coverage under WIFS JUNIOR - The coverage of the Weekly Iron Folic Acid Supplementation Programme for children six to one 21) Maternal Death Reviews (MDR) - A maternal death review is cross-checking how the mother died. It provides a rare opportunity for a group of health staff and community members to learn from a tragic – and often preventable. 22) Janani Shishu Suraksha Karyakaram (JSSK)- This initiative provides free and cashless services to pregnant women, including normal deliveries and caesarean operations. It entitles all pregnant women in public health institutions to free and no-expense delivery, including caesarean section.

The pregnancy and birth profiles include the breastfeeding profiles. The profiles bring together a range of data indicators by local area related to:

• conception
• pregnancy and delivery
• breastfeeding
• maternity
• teenage conceptions

The http://fingertips.phe.org.uk/profile-group/child-health/profile/child-health-pregnancy">pregnancy and birth profiles provide information to help improve decision making when planning local services for pregnant women or to support new mothers and their children.

The pregnancy and birth profiles include the breastfeeding indicators. The profiles bring together a range of data indicators by local area related to:

• conception
• pregnancy and delivery
• breastfeeding
• maternity
• teenage conceptions

The http://fingertips.phe.org.uk/profile-group/child-health/profile/child-health-pregnancy">pregnancy and birth profiles provide information to help improve decision making when planning local services for pregnant women or to support new mothers and their children.

United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 14.000 Ratio in 2015. This stayed constant from the previous number of 14.000 Ratio for 2014. United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 13.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 15.000 Ratio in 2009 and a record low of 11.000 Ratio in 1998. United States US: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.

Maternal mortality is widely considered an indicator of overall population health and the status of women in the population. DOHMH uses multiple methods including death certificates, vital records linkage, medical examiner records, and hospital discharge data to identify all pregnancy-associated deaths (deaths that occur during pregnancy or within a year of the end of pregnancy) of New York state residents in NYC each year. DOHMH convenes the Maternal Mortality and Morbidity Review Committee (M3RC), a multidisciplinary and diverse group of 40 members that conducts an in-depth, expert review of each pregnancy-associated death of New York state residents occurring in NYC from both clinical and social determinants of health perspectives. The data in this table come from vital records and the M3RC review process. Data are not cross-classified on all variables: cause of death data are available by the relation to pregnancy (pregnancy-related, pregnancy-associated but not related, unable to determine), race/ethnicity and borough of residence data are each separately available for the total number of pregnancy-associated deaths and pregnancy-related deaths only.