Evidence map›Paper›PMID 38689509›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2024

Assessing patient information needs for new antidiabetic medications to inform shared decision-making: A best-worst scaling experiment in China.

Tongling Xie, Jingyi Meng, Zhe Feng, Yue Gao, Tian Chen, Yalan Chen, Jinsong Geng

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. A Quantitative Study Exploring and Comparing Key Factors in Medication Management in the Irish Healthcare Setting.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  4. Assessing patient information needs for new antidiabetic medications to inform shared decision-making: A best-worst scaling experiment in China.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
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.

Tongling XieCenter for Evidence-Based Medicine, Nantong University Medical School, Nantong, China.
Jingyi MengCenter for Evidence-Based Medicine, Nantong University Medical School, Nantong, China.
Zhe FengCenter for Evidence-Based Medicine, Nantong University Medical School, Nantong, China.
Yue GaoHepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Tian ChenDepartment of Rehabilitation Medicine and Clinical Medicine, Medical Institute of Taizhou Polytechnic College, Taizhou, China.
Yalan ChenCenter for Evidence-Based Medicine, Nantong University Medical School, Nantong, China.ORCID 0000-0001-8228-0787
Jinsong GengCenter for Evidence-Based Medicine, Nantong University Medical School, Nantong, China.ORCID 0000-0003-3389-9051

Funding

MOE (Ministry of Education in China) Project of Humanities and Social Sciences 21YJAZH023National Natural Science Foundation of China 72374113
6 · The paper itself

Abstract

backgroundShared decision-making (SDM) is a patient-centred approach to improve the quality of care. An essential requirement for the SDM process is to be fully aware of patient information needs.

objectivesOur study aimed to assess patient information needs for new antidiabetic medications using the best-worst scaling (BWS) experiment.

methodsBWS tasks were developed according to a literature review and the focus group discussion. We used a balanced incomplete block design and blocking techniques to generate choice sets. The final BWS contains 11 attributes, with 6-choice scenarios in each block. The one-to-one, face-to-face BWS survey was conducted among type 2 diabetic patients in Jiangsu Province. Results were analyzed using count-based analysis and modelling approaches. We also conducted a subgroup analysis to observe preference heterogeneity.

resultsData from 539 patients were available for analysis. The most desired information domain was the comparative effectiveness of new antidiabetic medications. It consists of the incidence of macrovascular complications, the length of extended life years, changes in health-related quality of life, the incidence of microvascular complications, and the control of glycated haemoglobin. Of all the attributes, the incidence of macrovascular complications was the primary concern. Patients' glycemic control and whether they had diabetes complications exerted a significant influence on their information needs.

conclusionsInformation on health benefits is of critical significance for diabetic patients. Patients have different information needs as their disease progresses. Personalized patient decision aids that integrate patient information needs and provide evidence of new antidiabetic medications are worthy of being established. PATIENT OR PUBLIC CONTRIBUTION: Before data collection, a pilot survey was carried out among diabetic patients to provide feedback on the acceptability and intelligibility of the attributes.

Indexed as

Decision Making, SharedDiabetes Mellitus, Type 2Hypoglycemic AgentsAdultAgedChinaFemaleFocus GroupsHumansMaleMiddle AgedNeeds AssessmentPatient ParticipationSurveys and QuestionnairesHypoglycemic Agentsbest–worst scalingdiabetesinformation needsshared decision‐making

Identifiers

PMID38689509
PMCPMC11061543

What OpenQuestion 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 OpenQuestion graph.