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Related Concept Videos

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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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
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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 Survey01:07

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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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Archival Research01:40

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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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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Methods for community-engaged data collection and analysis in implementation research.

Lawrence A Palinkas1, Benjamin Springgate2, Leopoldo J Cabassa3

  • 1Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 920932, USA.

Implementation Science Communications
|April 8, 2025
PubMed
Summary
This summary is machine-generated.

Community engagement in implementation research improves outcomes. Methods like concept mapping and Photovoice empower communities in data collection and analysis, leading to more relevant and successful interventions.

Keywords:
Community engaged researchConcept mappingData analysisData collectionPhotovoiceRapid ethnographic assessments

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Area of Science:

  • Implementation Science
  • Community-Based Participatory Research
  • Public Health Interventions

Background:

  • Community engagement is crucial for equitable implementation of evidence-based practices.
  • Lack of clear guidelines exists for community involvement in implementation research data collection and analysis.

Purpose of the Study:

  • To describe methods for community engagement in data collection and analysis within implementation research.
  • To identify common elements and benefits of community involvement across diverse case studies.

Main Methods:

  • Concept mapping, rapid ethnographic assessment, and Photovoice were employed.
  • Case studies included HPV vaccine initiation, medication for opioid use disorders, and physical health for adults with severe mental illness.

Main Results:

  • Community members actively participated in recruitment, data provision, and validation of findings.
  • In Photovoice, community members engaged in both data collection and analysis.
  • Concept mapping involved community members in organizing and prioritizing strategies during analysis.

Conclusions:

  • Community involvement enhances engagement, empowerment, and validation of implementation research findings.
  • Methods balancing scientific rigor with community relevance foster greater investment in successful outcomes.
  • A clear division of labor is efficient, and building community capacity for data roles is recommended.