Version: 0.0.3 | Published: 20 Nov 2023 | Updated: 551 days ago
Summary
DOI Name:
Not Available
Documentation
Description:
The National Maternity Dataset (MSDS) refers to a comprehensive collection of data related to maternity care and services provided to pregnant individuals and their newborns within a specific country or region. This dataset captures essential information about pregnancy, childbirth, and postnatal care, allowing for analysis, monitoring, and evaluation of maternity care outcomes and practices. The MSDS typically includes data collected from various sources, such as electronic health records, maternity care providers, and administrative systems. It encompasses variables such as maternal demographics (age, ethnicity), antenatal care information (number of prenatal visits, prenatal tests, complications), details of labor and delivery (mode of delivery, gestational age, birth weight), neonatal outcomes (Apgar scores, newborn interventions), postnatal care (breastfeeding initiation, postpartum complications), and maternal and newborn follow-up information. The dataset serves several purposes. It provides valuable insights into the quality and safety of maternity care, allowing healthcare administrators, policymakers, and researchers to monitor and evaluate the performance of maternity services at a national or regional level. It supports the identification of trends, patterns, and areas that may require improvement in the provision of prenatal, intrapartum, and postnatal care. The MSDS enables the assessment of maternal and neonatal health outcomes and the identification of factors influencing birth outcomes. It supports research on topics such as perinatal morbidity and mortality, healthcare disparities, and the effectiveness of interventions aimed at improving maternal and neonatal health. Healthcare providers and maternity care practitioners can leverage the MSDS to assess their own practice, evaluate clinical outcomes, and identify opportunities for quality improvement in maternity care delivery. The data can inform evidence-based decision-making, promote best practices, and enhance patient-centered care for pregnant individuals and their newborns. The MSDS also supports benchmarking and comparisons between different healthcare facilities or regions, facilitating the sharing of best practices and lessons learned. It can contribute to the development of performance indicators, quality metrics, and standards for maternity care services. It's important to note that access to the MSDS and the specific data elements it contains may be subject to privacy regulations and governance frameworks to protect patient confidentiality and ensure data security. Compliance with data protection standards and ethical considerations should be ensured when accessing and using the dataset. For more detailed information about the dataset, including its availability, specific variables, and usage guidelines, it is recommended to consult the relevant healthcare authorities or organizations responsible for managing and maintaining the National Maternity Dataset (MSDS) in the specific country or region of interest.
Is Part Of:
WSIC
Coverage
Spatial:
NHS Brent CCG; NHS Central London CCG; NHS Ealing CCG; NHS Hammersmith &Fulham
CCG; NHS Harrow CCG; NHS Hillingdon CCG; NHS Hounslow CCG; NHS West London CCG
Typical Age Range:
0-150
Follow Up:
> 10 YEARS
Physical Sample Availability:
NOT AVAILABLE
Provenance
Origin
Purposes:
- ADMINISTRATIVE
- CARE
- OTHER
Sources:
OTHER
Collection Situations:
OTHER
Temporal
Accrual Periodicity:
OTHER
Time Lag:
OTHER
Accessibility
Access
Jurisdictions:
GB
Data Controller:
Joint data controller model across North West London
Data Processor:
NHS BRENT CCG
Usage
Data Use Limitations:
NO RESTRICTION
Data Use Requirements:
- COLLABORATION REQUIRED
- GEOGRAPHICAL RESTRICTIONS
- PROJECT SPECIFIC RESTRICTIONS
- USER SPECIFIC RESTRICTION
Resource Creators:
- NHS NWL ICS
- Discover-NOW
Format and Standards
Vocabulary Encoding Schemes:
OTHER
Conforms To:
OTHER
Languages:
en
Formats:
OTHER
Origin
Name:
London SDE