Key result
Automated pre-trip exam workflow linked to slower blood pressure rise over time.
Why the study?
Widespread automated pre-trip medical examination systems for drivers generate large blood pressure datasets, enabling evaluation of an automated examination-based workflow for detecting and routing individuals with arterial hypertension.
Does an automated pre-trip medical examination workflow with risk stratification and patient routing improve hypertension detection and attenuate blood pressure elevation over time in motor transport company drivers?
Cohort (n=440)
Yes
Does an automated pre-trip medical examination workflow with risk stratification and patient routing improve hypertension detection and attenuate blood pressure elevation over time in motor transport company drivers?
Answers are grounded in this paper and cite their sources.
An automated pre-trip blood pressure screening and routing workflow for drivers effectively identifies individuals with hypertension and, among those who subsequently seek medical care, significantly slows the rate of blood pressure progression over 3 years.
Introduction: The widespread adoption of automated pre-trip medical examination systems for drivers helps accumulate large blood pressure datasets, enabling new approaches to hypertension screening. Objective: To evaluate the impact of an original automated examination-based workflow on the detection and routing of individuals with arterial hypertension. Materials and Methods: The retrospective cohort study analyzed data collected from January 1, 2023, through December 31, 2025, across three motor transport companies in the Republic of Bashkortostan, Russian Federa-tion. The sample comprised 440 individuals aged 20.3 to 68.0 years. Group 1 included participants who sought medical care following implementation of the workflow (73, 16.6 %); Group 2 included those who did not (367, 83.4 %). The workflow comprised routine automated examinations, automated data analysis with risk stratification, and patient routing. Statistical analyses included descriptive metrics and a linear mixed-effects model for repeated measures. Results: Across the sample, both systolic and diastolic blood pressure increased significantly with age (p < 0.001). Owing to the introduction of the original automated examination-based workflow, Group 1 participants sought medical care. This group demonstrated a statistically significant attenuation in the rate of systolic (β = −0.0007; p = 0.002) and diastolic (β = −0.0008; p < 0.001) blood pressure elevation over time. Conclusions: This workflow enables effective identification, triage, and referral of individuals with signs of arterial hypertension to outpatient facilities for medical care.
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Vladzymyrskyy et al. (2026) conducted a cohort in Arterial hypertension (n=440). Seeking medical care following an automated examination-based hypertension detection and routing workflow vs. Not seeking medical care following the workflow was evaluated on Rate of systolic and diastolic blood pressure elevation over time (β = -0.0007 (systolic), β = -0.0008 (diastolic), p=0.002 (systolic), <0.001 (diastolic)). Seeking medical care via an automated pre-trip exam workflow attenuated the rate of systolic (β = -0.0007, p = 0.002) and diastolic (β = -0.0008, p < 0.001) blood pressure elevation over time.
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