ArticleZdravstveno varstvo2024
Bottom-Up Analysis of Telemonitoring Costs: A Case Study in Slovenian Primary Care.
Article in Zdravstveno varstvo, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Managing cardiovascular risk factors with telemedicine in primary care: A systematic review and meta-analysis of patients with arterial hypertension and type 2 diabetes.Chronic illness · 2025Pooled it
- Impact of 12-Month mHealth Home Telemonitoring on Clinical Outcomes in Older Individuals With Hypertension and Type 2 Diabetes: Multicenter Randomized Controlled Trial.JMIR mHealth and uHealth · 2025Trial
- Towards Integrated Care for the Elderly: Exploring the Acceptability of Telemonitoring for Hypertension and Type 2 Diabetes Management.International journal of integrated careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Telemonitoring improves clinical outcomes in patients with arterial hypertension (AH) and type 2 diabetes (T2D), however, cost structure analyses are lacking. This study seeks to explore the cost structure of telemonitoring for the elderly with AH and T2D in primary care and identify factors influencing costs for potential future expansions. Methods: Infrastructure, operational, patient participation, and out-of-pocket costs were determined using a bottom-up approach. Infrastructure costs were determined by dividing equipment and telemonitoring platform expenses by the number of participants. Operational and patient participation costs were determined by considering patient training time, data measurement/review time, and teleconsultation time. The change in out-of-pocket costs was assessed in both groups using a structured questionnaire and 12-month expenditure data. Statistical analysis employed an unpaired sample t-test, Mann-Whitney U test, and chi-square test. Results: A total of 117 patients aged 71.4±4.7 years were included in the study. The telemonitoring intervention incurred an annual infrastructure costs of €489.4 and operational costs of €97.3 (95% CI 85.7-109.0) per patient. Patient annual participation costs were €215.6 (95% CI 190.9-241.1). Average annual out-of-pocket costs for both groups were €345 (95% CI 221-469). After 12 months the telemonitoring group reported significantly lower out-of-pocket costs (€132 vs. €545, p<0.001), driven by reduced spending on food, dietary supplements, medical equipment, and specialist check-ups compared to the standard care group. Conclusion: To optimise the cost structure of telemonitoring, strategies like shortening the telemonitoring period, developing a national telemonitoring platform, using patient devices, integrating artificial intelligence into platforms, and involving nurse practitioners as telemedicine centre coordinators should be explored.
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Registered trials
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