Evidence map›Paper›PMID 29389313›Full record

ArticlePreventing chronic disease2018

Using Behavior Over Time Graphs to Spur Systems Thinking Among Public Health Practitioners.

Larissa Calancie, Seri Anderson, Jane Branscomb, Alexsandra A Apostolico, Kristen Hassmiller Lich

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
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  6. Article
  7. Measuring Shifts in Mental Models in the Prevention of Childhood Obesity in Rural Australia.Health education & behavior : the official publication of the Society for Public Health Education · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Community-based Systems Dynamics for Reproductive Health: An Example from Urban Ohio.Progress in community health partnerships : research, education, and action · 2022
    Article
  14. Article
  15. Integrating complex systems science into road safety research and practice, part 1: review of formative concepts.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2020
    Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Larissa CalancieCenter for Health Equity Research, Social Medicine Department, School of Medicine, University of North Carolina at Chapel Hill, CB No. 7240, Chapel Hill, NC 27599. Email: lcalancie@unc.edu.
Seri AndersonHealth Policy and Management Department, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Jane BranscombGeorgia Health Policy Center, Georgia State University, Atlanta, Georgia.
Alexsandra A ApostolicoNational Maternal and Child Health Workforce Development Center, Maternal and Child Health Department, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Kristen Hassmiller LichHealth Policy and Management Department, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
University of North Carolina at Chapel Hill · USGeorgia State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health practitioners can use Behavior Over Time (BOT) graphs to spur discussion and systems thinking around complex challenges. Multiple large systems, such as health care, the economy, and education, affect chronic disease rates in the United States. System thinking tools can build public health practitioners' capacity to understand these systems and collaborate within and across sectors to improve population health. BOT graphs show a variable, or variables (y axis) over time (x axis). Although analyzing trends is not new to public health, drawing BOT graphs, annotating the events and systemic forces that are likely to influence the depicted trends, and then discussing the graphs in a diverse group provides an opportunity for public health practitioners to hear each other's perspectives and creates a more holistic understanding of the key factors that contribute to a trend. We describe how BOT graphs are used in public health, how they can be used to generate group discussion, and how this process can advance systems-level thinking. Then we describe how BOT graphs were used with groups of maternal and child health (MCH) practitioners and partners (N = 101) during a training session to advance their thinking about MCH challenges. Eighty-six percent of the 84 participants who completed an evaluation agreed or strongly agreed that they would use this BOT graph process to engage stakeholders in their home states and jurisdictions. The BOT graph process we describe can be applied to a variety of public health issues and used by practitioners, stakeholders, and researchers.

Indexed as

Chronic DiseaseHealth PromotionHumansInformation DisseminationPublic HealthSystems AnalysisUnited States

Identifiers

PMID29389313
PMCPMC5798221
OpenAlexW2787775318

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.