Trial reportClinical and translational science2023
Exploration of smart adherence-monitoring methods in vitamin D-deficient patients: A pilot feasibility clinical study.
Trial report in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 5 citations in OpenAlex.
- Pioneering a Hybrid Decentralized Clinical Trial in South Korea: Assessing Feasibility, Data Integrity, and Participant Perceptions.Clinical and translational science · 2026Trial
- Integrating Personal Health Records to Improve Data Integrity in Trials With Decentralized Elements: A Pilot Study.Clinical and translational science · 2025Trial
- Exploration of smart adherence-monitoring methods in vitamin D-deficient patients: A pilot feasibility clinical study.Clinical and translational science · 2023Trial
- Current methods for analyzing time-series patient-generated health data to assess treatment response: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 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
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Treatment adherence is an underestimated determinant of treatment success. Poor treatment adherence can also affect the efficacy of clinical trials. A combination of multiple adherence-monitoring methods is required to ensure robustness. We investigated whether multiple adherence-monitoring methods, including a novel smartwatch-based monitoring method, would yield reliable and concordant results. In this open, randomized, decentralized clinical trial, vitamin D-deficient individuals were randomized to an App - only group (an electronic medication diary) or an App + Watch group (i.e., App and smartwatch-based monitoring) groups after a week run-in period. The participants received vitamin D supplements (1000 IU) for 12 weeks (two consecutive periods of 6 weeks) with two pill counts (at the sixth week) and biweekly blood samplings for serum 25(OH) vitamin D concentration. Adherence was assessed and compared between the methods. Sixteen participants were enrolled, of which 13 completed the study. Serum 25(OH) vitamin D levels comparably increased in both groups until the first 7 weeks but trended higher in the App + Watch group in the second period. The number of doses recorded by the pill count and App did not differ significantly between the run-in and Period 1 (p = 0.5534) but became significantly discrepant in Period 2 (p = 0.0225). In contrast, the concordance for smartwatch-based monitoring was consistent in either period (p = 0.5898 and p = 0.5839, respectively). We explored multiple adherence-monitoring methods in this pilot feasibility clinical study. Smartwatch-based adherence monitoring may be an objective and sensitive method for measuring treatment adherence.
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.