Trial reportEuropean journal of cardiovascular nursing2025
Patient activation improves with a multi-component personalized mHealth intervention in older patients at risk of cardiovascular disease: a pilot randomized controlled trial.
Trial report in European journal of cardiovascular nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03720327 (Fitness Intensive Therapy), which is not on this map. Cited by 1 paper.
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.
Fitness Intensive Therapy (Get FIT) to Promote Healthy Living in Older Adults
Who cites it
1 citing paper in PubMed.
- Improving Clinical Patient Activation and Strengthening Health Outcomes: Findings from a Quasi-Experimental Study.Journal of clinical medicine · 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
9 authors.
Funding
Abstract
aimsThis study aimed to determine the effect of a multi-component mHealth intervention on patient activation and examine its predictors among older adults at risk of cardiovascular disease (CVD). METHODS AND
resultsThis pilot randomized controlled trial compared two groups: Get FIT (control), who received healthy lifestyle counselling from a licensed health coach, a mHealth app (MyFitnessPal) with push alerts, and an activity tracker, and Get FIT + (intervention), who received the same interventions and had personalized text messages with 3- and 6-month follow-up periods. Patient activation was measured using the 13-item Patient Activation Measure; higher scores indicated better activation. Linear mixed-effects models were used to investigate between-group changes in outcomes across time. The participants' (n = 54) mean age was 65.4 ± 6.0 years; 61% were female; and 61% were married. Baseline characteristics were comparable between groups. Significant improvements in mean patient activation scores were observed in the Get FIT + group at 3 months [mean 3.53 points, 95% confidence interval (CI) 0.11, 6.96; P = 0.043] and 6 months (mean 4.37 points, 95% CI 0.91, 7.83; P = 0.014), whereas improvements in the Get FIT group were non-significant. Adjusting for age, gender, education, employment, marital status, social support, smartphone confidence, and self-perceived health, we found that only social support was associated with higher patient activation overall (B = 5.14, 95% CI 1.00, 9.27; P = 0.015).
conclusionThe findings indicate that personalized text messaging can improve the self-care of older adults at risk of CVD. Findings also emphasize the importance of social support in the success of mHealth interventions for older adults. REGISTRATION: The study is registered in ClinicalTrials.gov (NCT03720327).
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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.