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Related Concept Videos

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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Longitudinal Research02:20

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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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Body:Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
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Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
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Cross-Sectional Research01:50

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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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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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Establishing cross-systems collaborations for implementation: protocol for a longitudinal mixed methods study.

Alicia C Bunger1, Emmeline Chuang2, Amanda Girth3

  • 1College of Social Work, The Ohio State University, 1947 College Road, Columbus, OH, 43210, USA. Bunger.5@osu.edu.

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Summary
This summary is machine-generated.

This study explores collaborative strategies for integrating child welfare and substance abuse services, developing a tool to guide effective implementation in diverse contexts. The Collaborating Across Systems for Program Implementation (CASPI) tool aims to improve cross-system interventions.

Keywords:
Child welfareCollaborationCross-system interventionsImplementation strategiesSubstance use treatment

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Area of Science:

  • Implementation Science
  • Health Services Research
  • Public Health Policy

Background:

  • Cross-system interventions require strong collaborative relationships for successful service integration.
  • Contingency theory posits that collaborative strategy effectiveness is context-dependent.
  • Effective collaboration between child welfare and substance abuse treatment agencies is crucial for integrated service delivery.

Purpose of the Study:

  • To study strategies for fostering collaboration between child welfare and substance abuse treatment agencies.
  • To identify conditions under which collaborative strategies are effective for implementation.
  • To develop and pilot the Collaborating Across Systems for Program Implementation (CASPI) tool, a decision-making guide for selecting appropriate collaborative strategies.

Main Methods:

  • A multisite longitudinal, mixed-methods study in up to 17 Ohio counties implementing Ohio START (Sobriety Treatment and Reducing Trauma).
  • Convergent mixed methods approach using worker surveys, agency documents, administrative data, partner agreements, and group interviews.
  • Qualitative Comparative Analysis (QCA) for data integration; expert panel and randomized vignette experiment for CASPI development and testing.

Main Results:

  • Identification of collaborative strategies associated with improved Ohio START implementation (penetration, fidelity) and service delivery outcomes (timeliness).
  • Development of the CASPI tool, a decision-making guide for selecting context-tailored collaborative strategies.
  • Assessment of CASPI's acceptability, appropriateness, and feasibility through a randomized vignette experiment and pilot testing.

Conclusions:

  • The CASPI tool is expected to support effective and efficient implementation of cross-system interventions like Ohio START.
  • The CASPI is designed for applicability in diverse settings, including rural communities, advancing system-level implementation strategies.
  • Findings will inform a larger controlled trial to test the CASPI's effectiveness in supporting tailored collaboration strategies.