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Related Concept Videos

Data Collection by Survey01:07

Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
Data Collection III01:05

Data Collection III

The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...

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Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
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ESHRE PGD Consortium data collection IV: May-December 2001.

K Sermon1, C Moutou, J Harper

  • 1Centre for Medical Genetics, University Hospital and Medical School of the Dutch-speaking Brussels Free University (Vrije Universiteit Brussel, VUB), Laarbeeklaan 101, 1090 Brussels, Belgium.

Human Reproduction (Oxford, England)
|November 20, 2004
PubMed
Summary
This summary is machine-generated.

The ESHRE PGD Consortium improved preimplantation genetic diagnosis (PGD) data collection by implementing a new database. This enhanced data quality and follow-up for PGD cycles, pregnancies, and babies.

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Area of Science:

  • Reproductive Medicine
  • Genetics
  • Clinical Data Management

Background:

  • The ESHRE PGD Consortium, established in 1997, has published three reports on preimplantation genetic diagnosis (PGD) practices.
  • Previous data collection methods using Excel spreadsheets and asynchronous timing led to significant shortcomings in data quality and cycle follow-up.

Purpose of the Study:

  • To report on corrected data from the first three PGD data collections (I-III).
  • To present results from the fourth data collection (IV), entirely managed by a new database system.
  • To improve the quality and reliability of PGD data for future analysis.

Main Methods:

  • Development and implementation of a new FileMaker Pro 6 database for PGD data collection.
  • Synchronized collection of PGD cycles, pregnancies, and babies within the same calendar year.
  • Correction and re-analysis of data from the initial three collections (I-III).

Main Results:

  • The new database system facilitated improved data quality and comprehensive follow-up of PGD cycles.
  • Data from the fourth collection (IV) demonstrated enhanced accuracy and completeness.
  • The transition to a unified data collection timeframe resolved previous follow-up challenges.

Conclusions:

  • The implementation of a new database significantly improved the quality and management of PGD data.
  • Standardized, synchronized data collection enhances the ability to track PGD outcomes effectively.
  • The revised data collection strategy provides a more reliable foundation for understanding PGD trends and outcomes.