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Related Concept Videos

Data Collection by Experiments01:13

Data Collection by Experiments

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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.”
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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.
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Data Collection I01:30

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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 III01:05

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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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Data Collection II01:29

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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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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: Treat every variable as a treasure.

Lex Rutten1

  • 1Committee for Methods and Validation, Dutch Homeopathic Doctors Association, Aard 10, 4813NN Breda, The Netherlands.

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|July 6, 2015
PubMed
Summary
This summary is machine-generated.

Collecting homeopathic case histories is crucial but challenging. Developing data collection software requires iterative steps with practitioner feedback to improve reliability and reduce bias in symptom assessment.

Keywords:
CausalityConfirmation biasData collection

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Area of Science:

  • Homeopathy research
  • Medical informatics

Background:

  • Homeopathic case history data collection is underdeveloped.
  • Computer program development for homeopathy is slow, with limited discussion on requirements.
  • Two Dutch projects focused on homeopathic medicine and symptom data collection.

Purpose of the Study:

  • To highlight the importance and challenges of data collection in homeopathy.
  • To assess the reliability of data collected by practitioners.
  • To inform the development of effective data collection software.

Main Methods:

  • Two Dutch projects involved assessing homeopathic Materia Medica and symptoms.
  • Significant effort was dedicated to achieving consensus among participating doctors.
  • Data collection relied heavily on practitioner input and assessment.

Main Results:

  • Considerable variance was observed among doctors despite consensus efforts.
  • Assessing causality emerged as a primary source of bias in data collection.
  • Significant variability existed in the assessment of homeopathic symptoms.

Conclusions:

  • Developing data collection software for homeopathy should be an iterative process.
  • Close monitoring and continuous feedback from practitioners are essential for software development.
  • Addressing bias and improving consistency in symptom assessment are key challenges.