ArticleBMJ open2024
Investigating the use of actor-network theory in healthcare: a protocol for a systematic review.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The integration of human and non-human actors to advance healthcare delivery: unpacking the role of actor-network theory, a systematic literature review.BMC health services research · 2024Pooled it
- Mechanism-informed transition from pediatric to adult care in sickle cell disease: a case study.BMC health services research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare systems are confronted with constant challenges and new crisis waves necessitating a transformation of current approaches to healthcare delivery. Transformation calls for integration, partnerships, interprofessional teamwork and collaboration between all healthcare stakeholders to create improved access and more personalised healthcare outcomes for patients. However, healthcare organisations are complex systems, comprising multiple stakeholders, and the existence of professional silos and functions which have varying degrees of interaction hampering the delivery of effective integrated healthcare. Research investigating the underpinning operations of how the various healthcare stakeholders integrate is lacking. To address this gap, the use of actor-network theory (ANT) can provide insight into underlying dynamics, interactions, interdependencies, governance processes and power dynamics of stakeholders in healthcare. ANT represents a suitable theoretical lens as it helps to appreciate the dynamics and underpinning behaviours of complex organisations and explains how networks are developed and how actors join networks and form associations. Our systematic review will identify and evaluate available evidence to understand the interplay between stakeholders and all associated entities that impact collaboration and integration in healthcare delivery. METHODS AND ANALYSIS: Using the Population-Intervention-Comparison-Outcome framework, the databases MEDLINE, CINAHL Complete, SCOPUS, PubMed, APA PsycINFO, Business Source Complete and Academic Search Complete will be searched using Boolean terms to identify peer-reviewed literature concerning ANT in healthcare. All relevant articles published between January 2013 and September 2023 will be eligible for inclusion. A thematic approach will be employed to appraise and analyse the extracted data to assess the various definitions of ANT and the use of ANT in healthcare settings, interactions and collaboration. ETHICS AND DISSEMINATION: Given that no primary data will be captured, ethical approval will not be required for this study. Findings will be shared and ultimately published through open access peer-reviewed journals and reports. PROSPERO REGISTRATION NUMBER: 455283.
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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.