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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 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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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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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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Electronic data collection in a multi-site population-based survey: EN-INDEPTH study.

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Electronic data collection in household surveys offers higher data quality and efficiency. Key challenges include unreliable internet connectivity, requiring careful planning for synchronization and power supply.

Keywords:
DHSData collection applicationElectronic data collectionField experiencesHousehold surveys

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Area of Science:

  • Demography
  • Public Health
  • Health Informatics

Background:

  • Electronic data collection is increasingly adopted for household surveys.
  • Factors influencing its design and implementation require further study.

Purpose of the Study:

  • To describe the experiences and learning from designing and implementing the Every Newborn-INDEPTH (EN-INDEPTH) electronic data collection survey.
  • To explore field and research team experiences through focus group discussions.

Main Methods:

  • The EN-INDEPTH study utilized electronic data collection across five INDEPTH health and demographic surveillance system sites.
  • Thematic analysis of six focus group discussions was conducted using NVivo12.

Main Results:

  • Selection and adaptation of World Bank's Survey Solutions® platform.
  • Context-specific questionnaire adaptations and standardized training for data collectors (4.5-10 days).
  • Appreciation for built-in data quality features; challenges with internet unreliability and data synchronization; improved data quality and reduced cleaning time.

Conclusions:

  • Electronic data collection can enhance data quality and efficiency in multi-site household surveys.
  • Recommendations include local adaptation of tools, piloting, ensuring power supply, and addressing synchronization issues in low-connectivity settings.