Evidence map›Paper›PMID 41412620›Full record

ArticleBMJ open2025

Enhancing medication safety engagement among older adults with diabetes and comorbidities: a quasi-experimental study protocol.

Hui Li, Zhengwen Feng, Chenli Zhu, Haijin Li, Liying Shao, Shuang Shao, Juan Du

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hui LiSchool of General Practice and Continuing Education, Capital Medical University, Beijing, China.ORCID http://orcid.org/0009-0003-6844-8071
Zhengwen FengSchool of General Practice and Continuing Education, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-9943-6434
Chenli ZhuSchool of General Practice and Continuing Education, Capital Medical University, Beijing, China.
Haijin LiSchool of General Practice and Continuing Education, Capital Medical University, Beijing, China.
Liying ShaoDepartment of General Practice, Dahongmen Community Health Service Center, Beijing, China.
Shuang ShaoSchool of General Practice and Continuing Education, Capital Medical University, Beijing, China cuckoo@ccmu.edu.cn shaoshuang@ccmu.edu.cn.
Juan DuSchool of General Practice and Continuing Education, Capital Medical University, Beijing, China cuckoo@ccmu.edu.cn shaoshuang@ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMedication-related issues are prevalent among older adults with chronic diseases, especially in community outpatient settings where medication regimens are complex and largely self-managed. These issues, such as inappropriate prescribing, non-adherence and drug interactions, can result in avoidable harm and increased healthcare burden. Although patient engagement is crucial for medication safety, few interventions are based on behavioural theory or tailored for older adults in low-resource settings. Digital health tools present promising opportunities to provide personalised, accessible medication safety support. This study aims to develop, implement and evaluate a theory-informed digital intervention to enhance medication safety engagement among older adults with chronic conditions in community settings. METHODS AND ANALYSIS: This quasi-experimental study will take place in two community health service centres in Beijing, China. Participants will be older adults aged 60-80 years with type 2 diabetes and at least one additional chronic condition. They must be prescribed at least one antidiabetic medication, capable of using a smartphone, cognitively intact and permanent residents of Beijing. The study plans to recruit 388 participants (194 per arm) to achieve 80% power with a two-sided α=0.05. Participants will be assigned to either an intervention group receiving a digital medication safety programme or a control group receiving routine care and printed educational materials. The intervention is a structured, theory-informed programme delivered via a WeChat-based platform, aimed at enhancing medication safety engagement among older adults. The study follow-up will last 3 months. The primary outcome is the change in medication safety engagement, measured using a validated scale. Secondary outcomes include perceived efficacy in patient-physician interactions, medication knowledge and fasting glucose levels. The acceptability of the intervention will be evaluated in the intervention group using the System Usability Scale and qualitative interviews. Data collection will occur at baseline, 1 month and 2 months post-intervention. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Medical Ethics Committee of Capital Medical University, Beijing, China (initial approval Z2023SY066 on May 2023; amendment Z2025SY020 on April 2025). All participants will provide written informed consent prior to enrolment. The study findings will be disseminated through peer-reviewed publications and conference presentations. A model participant information sheet and informed consent form has been developed for this trial. TRIAL REGISTRATION NUMBER: Chinese Clinical Trial Registry (ChiCTR2300072716).

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsPatient ParticipationAgedAged, 80 and overChinaComorbidityFemaleHumansMaleMiddle AgedHypoglycemic AgentsAgedChronic DiseaseDiabetes Mellitus, Type 2Disease ManagementHealth EducationMedication Adherence

Identifiers

PMID41412620
PMCPMC12716529

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.