ArticleRisk management and healthcare policy2026
Normalization of Risk in Primary Care: Revealing Latent Safety Threats Through Simple Digital Monitoring in Family Medicine.
Article in Risk management and healthcare policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Increasing workload, time pressure, and administrative demands in family medicine create conditions in which delays in routine preventive and monitoring activities may gradually become normalized. When such delays are no longer perceived as exceptional, they can evolve into latent safety threats that remain largely invisible in everyday clinical practice. This study explores whether a simple digital monitoring approach can support the visibility and management of normalized risk in a primary care setting. Methods: This exploratory, single-site, practice-based quality improvement initiative was conducted in a family medicine setting. A lightweight digital monitoring dashboard was used to track routine preventive and chronic care recommendations over time, based on commonly accepted follow-up intervals. Overdue actions were identified through comparison between expected timing and recorded completion, using routinely available clinical data integrated into everyday workflows. Results: At baseline, a small number of overdue recommendations (including at least one active delay distributed across multiple care domains) were identified, with a temporal pattern suggestive of accumulating latent risk. Following targeted clinical follow-up, a partial reduction in delays was observed, with improvement across care domains. In the final observation phase, all overdue recommendations were resolved (0 active delays), suggesting a transition toward a more stable and lower-risk operational state within the observed practice context. Conclusion: These findings suggest that simple, low-cost digital monitoring tools may help support the visibility and management of normalized risk in family medicine. By making routine delays visible, such approaches may enhance situational awareness and support timely clinical follow-up in resource-constrained primary care environments.
Indexed as
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.