ArticleImplementation science : IS2023
Reporting of costs and economic impacts in randomized trials of de-implementation interventions for low-value care: a systematic scoping review.
Article in Implementation science : IS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06896474 (SDM POSSIBLE), which is not on this map. Cited by 4 papers.
What it found
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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.
SDM POSSIBLE: A Cluster RCT of a Breast Cancer Treatment Decision Aid for Women 70+ With Low-Risk Stage I Breast Cancers
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- De-Implementing Low-Value Care in Dentistry: The Case for Choosing Wisely Campaigns.Community dentistry and oral epidemiology · 2026Article
- The role of electronic health records systems in de-implementing low-value care in primary care: a scoping review.Implementation science communications · 2025Review
- A Surgeon's Field Guide to Value-Based Specialty Care.Laryngoscope investigative otolaryngology · 2025Review
- Estimating the societal costs and benefits of de-implementation of low-value care: developing a modelling approach through case assessment.BMC health services research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 13 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDe-implementation of low-value care can increase health care sustainability. We evaluated the reporting of direct costs of de-implementation and subsequent change (increase or decrease) in health care costs in randomized trials of de-implementation research.
methodsWe searched MEDLINE and Scopus databases without any language restrictions up to May 2021. We conducted study screening and data extraction independently and in duplicate. We extracted information related to study characteristics, types and characteristics of interventions, de-implementation costs, and impacts on health care costs. We assessed risk of bias using a modified Cochrane risk-of-bias tool.
resultsWe screened 10,733 articles, with 227 studies meeting the inclusion criteria, of which 50 included information on direct cost of de-implementation or impact of de-implementation on health care costs. Studies were mostly conducted in North America (36%) or Europe (32%) and in the primary care context (70%). The most common practice of interest was reduction in the use of antibiotics or other medications (74%). Most studies used education strategies (meetings, materials) (64%). Studies used either a single strategy (52%) or were multifaceted (48%). Of the 227 eligible studies, 18 (8%) reported on direct costs of the used de-implementation strategy; of which, 13 reported total costs, and 12 reported per unit costs (7 reported both). The costs of de-implementation strategies varied considerably. Of the 227 eligible studies, 43 (19%) reported on impact of de-implementation on health care costs. Health care costs decreased in 27 studies (63%), increased in 2 (5%), and were unchanged in 14 (33%).
conclusionDe-implementation randomized controlled trials typically did not report direct costs of the de-implementation strategies (92%) or the impacts of de-implementation on health care costs (81%). Lack of cost information may limit the value of de-implementation trials to decision-makers.
trial registrationOSF (Open Science Framework): https://osf.io/ueq32 .
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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.