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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Longitudinal Studies01:26

Longitudinal Studies

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Cross-Sectional Research01:50

Cross-Sectional Research

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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Naturalistic Observations02:30

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Influence of Parents and Peers on Identity01:23

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Adolescence is a pivotal period of identity formation, during which individuals begin to answer questions central to their sense of self, such as "Who am I?" and "Who do I hope to become?" Both parents and peers play critical roles in guiding adolescents through this complex developmental phase.
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Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

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Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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Integration of Peer Navigators Into Longitudinal Research.

Carla M Bann, Jamie E Newman, Leslie Clarke

    Journal of Obstetric, Gynecologic, and Neonatal Nursing : JOGNN
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    Summary

    Peer navigators significantly improved consent rates in the Outcomes of Babies With Opioid Exposure (OBOE) Study. This approach is recommended for high-risk populations to enhance research participation and data sharing.

    Keywords:
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    Area of Science:

    • Clinical Research
    • Public Health
    • Pediatrics

    Background:

    • Recruitment and consent are critical for longitudinal studies, especially those involving vulnerable populations.
    • The Outcomes of Babies With Opioid Exposure (OBOE) Study investigates health outcomes in infants exposed to opioids.
    • Low consent rates can hinder the progress and generalizability of research findings.

    Purpose of the Study:

    • To evaluate the impact of introducing peer navigators on consent rates within the OBOE Study.
    • To identify changes in reasons for refusing consent after peer navigator implementation.
    • To assess the effect of peer navigators on participants' willingness to share research information.

    Main Methods:

    • Secondary analysis of data from the multisite observational OBOE Study.
    • Comparison of consent rates and refusal reasons before and after the introduction of peer navigators.
    • Statistical analysis using chi-squared tests to determine significance (p < .05).

    Main Results:

    • Study consent rates significantly increased from 29% (852 participants) to 38% (403 participants) after peer navigator implementation (p = .001).
    • The proportion of individuals unwilling to share information for research decreased from 41% to 26% (p = .005).
    • Peer navigators were associated with improved engagement in research.

    Conclusions:

    • Peer navigators demonstrate a positive effect on increasing consent and willingness to share information in research studies.
    • The findings support the integration of peer navigators in studies involving high-risk populations to improve recruitment.
    • This strategy can enhance the feasibility and success of longitudinal research.