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Related Concept Videos

Data Collection II01:29

Data Collection II

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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...
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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...
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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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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...
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Data Collection by Observations01:08

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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...
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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.
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Routinely collected data for randomized trials: promises, barriers, and implications.

Kimberly A Mc Cord1, Rustam Al-Shahi Salman2, Shaun Treweek3

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This summary is machine-generated.

Routinely collected health data (RCD) can enhance randomized controlled trials (RCTs) by improving feasibility and expanding research. Addressing regulatory, ethical, and data challenges is crucial for successful implementation.

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Area of Science:

  • Clinical Trials
  • Health Informatics
  • Biostatistics

Background:

  • Routinely collected health data (RCD) offer significant advantages for randomized controlled trials (RCTs), including enhanced feasibility, cost reduction, and expanded research scope.
  • Novel trial designs, such as point-of-care trials embedded in routine care, are enabled by RCD.
  • Challenges include regulatory, ethical, data, and infrastructure cost hurdles, alongside methodological differences from traditional RCTs, such as potential for increased misclassification bias.

Purpose of the Study:

  • To provide a comprehensive overview of the benefits, challenges, and barriers associated with utilizing RCD in RCTs.
  • To explore the methodological implications and identify future research needs for RCD in RCTs.

Main Methods:

  • A review and synthesis of existing literature and expert knowledge on the use of RCD in RCTs.
  • Identification of key promises, challenges, barriers, and methodological considerations.

Main Results:

  • RCD hold substantial potential to improve RCT conduct and reduce associated costs.
  • A multidisciplinary approach is essential to overcome practical barriers and address methodological implications.

Conclusions:

  • Future research should prioritize data quality validation and explore alternative research designs impacting outcome assessment.
  • Emphasis on reporting standards and transparency is critical for the effective use of RCD in RCTs.