Evidence map›Paper›PMID 39008845›Full record

SynthesisJournal of medical Internet research2024

Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis.

Yiqun Miao, Yuan Luo, Yuhan Zhao, Mingxuan Liu, Huiying Wang, Ying Wu

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yiqun Miao *School of Nursing, Capital Medical University, Beijing, China.ORCID 0000-0002-6084-3662
Yuan Luo *School of Nursing, Capital Medical University, Beijing, China.ORCID 0000-0003-1198-3877
Yuhan ZhaoSchool of Nursing, Capital Medical University, Beijing, China.ORCID 0009-0008-0461-1913
Mingxuan LiuSchool of Nursing, Capital Medical University, Beijing, China.ORCID 0009-0005-6918-0286
Huiying WangSchool of Nursing, Capital Medical University, Beijing, China.ORCID 0009-0001-7708-3356
Ying WuSchool of Nursing, Capital Medical University, Beijing, China.ORCID 0000-0002-8633-5404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNonadherence to medication among patients with cardiovascular diseases undermines the desired therapeutic outcomes. eHealth interventions emerge as promising strategies to effectively tackle this issue.

objectiveThe aim of this study was to conduct a network meta-analysis (NMA) to compare and rank the efficacy of various eHealth interventions in improving medication adherence among patients with cardiovascular diseases (CVDs).

methodsA systematic search strategy was conducted in PubMed, Embase, Web of Science, Cochrane, China National Knowledge Infrastructure Library (CNKI), China Science and Technology Journal Database (Weipu), and WanFang databases to search for randomized controlled trials (RCTs) published from their inception on January 15, 2024. We carried out a frequentist NMA to compare the efficacy of various eHealth interventions. The quality of the literature was assessed using the risk of bias tool from the Cochrane Handbook (version 2.0), and extracted data were analyzed using Stata16.0 (StataCorp LLC) and RevMan5.4 software (Cochrane Collaboration). The certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach.

resultsA total of 21 RCTs involving 3904 patients were enrolled. The NMA revealed that combined interventions (standardized mean difference [SMD] 0.89, 95% CI 0.22-1.57), telephone support (SMD 0.68, 95% CI 0.02-1.33), telemonitoring interventions (SMD 0.70, 95% CI 0.02-1.39), and mobile phone app interventions (SMD 0.65, 95% CI 0.01-1.30) were statistically superior to usual care. However, SMS compared to usual care showed no statistical difference. Notably, the combined intervention, with a surface under the cumulative ranking curve of 79.3%, appeared to be the most effective option for patients with CVDs. Regarding systolic blood pressure and diastolic blood pressure outcomes, the combined intervention also had the highest probability of being the best intervention.

conclusionsThe research indicates that the combined intervention (SMS text messaging and telephone support) has the greatest likelihood of being the most effective eHealth intervention to improve medication adherence in patients with CVDs, followed by telemonitoring, telephone support, and app interventions. The results of these network meta-analyses can provide crucial evidence-based support for health care providers to enhance patients' medication adherence. Given the differences in the design and implementation of eHealth interventions, further large-scale, well-designed multicenter trials are needed.

trial registrationINPLASY 2023120063; https://inplasy.com/inplasy-2023-12-0063/.

Indexed as

Cardiovascular DiseasesDrug MonitoringTelemedicineHumansRandomized Controlled Trials as Topicadherencecardiologycardiovascularcardiovascular diseasesdigital healthdrugdrugseHealthheartmedicationmedication adherencemedicationsmeta-analysesmeta-analysisnetwork meta-analysispharmaceuticpharmaceuticalpharmaceuticalspharmaceuticspharmaciespharmacologypharmacotherapypharmacyreview methodologyreview methodssearchsearchessearchingsynthesessynthesissystematic

Identifiers

PMID39008845
PMCPMC11287104

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.