ArticleSystem dynamics review2024
Constructing causal loop diagrams from large interview data sets.
Article in System dynamics review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- A scoping review and systems thinking synthesis of scale-up frameworks.BMC health services research · 2026Article
- The Barriers and Enablers to the Use of Alternative Approaches to Restrictive Practices: A Scoping Review and Causal Loop Diagram.Nursing open · 2026Article
- Mapping Longitudinal Dynamics of Learning Communities Dealing With Dutch Healthy Weight Approaches: An Updated Causal Loop Diagram.Evaluation & the health professions · 2026Article
- Key mechanisms for chlamydia control in Guangdong, China: a mixed-methods causal-loop analysis.BMC infectious diseases · 2026Article
- How can health be further integrated in urban development policymaking in the United Kingdom? A systems mapping approach.Health research policy and systems · 2025Article
- Understanding healthcare demand and supply through causal loop diagrams and system archetypes: policy implications for kidney replacement therapy in Thailand.BMC medicine · 2025Article
- Stakeholder analysis in urban-planetary health research: The Key Group Approach.Frontiers in public health · 2025Article
- Systems Thinking, Causal Loop Diagram, and Systems Dynamic in Public Health Challenges: Navigating Long COVID Syndrome and Sense of Smell in LGBTQIA+ Communities.Public health challenges · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
"Tackling the Root Causes Upstream of Unhealth Urban Development" is a trans-disciplinary research project seeking to map and understand urban development decision-making, visualise stakeholder mental models and codevelop improvement interventions. The project's primary data was gathered through 123 semistructured interviews. This article applies, compares, and discusses four variations on a method for constructing causal loop diagrams to illuminate mental models and collective decision-making, based on manual and semiautomated processes applied to individual interview transcripts and datasets collected by thematic analysis. It concludes that while semiautomated approaches offer some time saving over manual approaches when applied to large data sets, care is required in interpreting and including peripheral contextual variables at the boundaries of the thematic analysis. Decisions regarding automation depend on the purpose of the modelling. Finally, the article recommends future applications record quantitative descriptors characterising the process of constructing CLDs from large qualitative data sets.
Identifiers
What OpenQuestion holds
Registered trials
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.