ArticlePatient preference and adherence2023
Preferred Conversation Topics with Respect to Treatment Decisions Among Individuals with Type 2 Diabetes.
Article in Patient preference and adherence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06410768 (Evaluating the Feasibility of a Future Trial-based Economic Evaluation of a Multistage Shared Decision-making Program for the Treatment of Type 2 Diabetes Mellitus), which is not on this map. Cited by 4 papers.
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.
Evaluating the Feasibility of a Future Trial-based Economic Evaluation of a Multistage Shared Decision-making Program for the Treatment of Type 2 Diabetes Mellitus: a Pilot Study
Who cites it
4 citing papers in PubMed.
- Patient Perceptions of Artificial Intelligence in Diabetes Self-Management: Cross-Sectional Survey Study.JMIR formative research · 2026Article
- Involving consumers in health research through the use of consumer panels: a scoping review.Research involvement and engagement · 2025Review
- Development of a patient decision aid for type 2 diabetes mellitus: a patient-centered approach.BMC primary care · 2025Article
- Customization options in consumer health information materials on type-2 diabetes mellitus-an analysis of modifiable features in different types of media.Frontiers in public health · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Greater knowledge of individuals' needs and preferences can enhance shared decision-making, which is associated with improved quality of decisions and increased satisfaction. This study aimed to identify and prioritize the attributes (ie conversation topics) that individuals with type 2 diabetes find it most important to discuss with their healthcare provider regarding treatment decisions. Patients and Methods: First, small group interviews were organized with adults with type 2 diabetes (N=8) treated in primary care to identify the attributes that they find important to discuss regarding treatment decisions. A five-step nominal group technique was applied during the interviews. An object best-worst scaling (BWS) survey was subsequently distributed to individuals with self-reported diabetes participating in the Dutch Health Care Consumer Panel of the Netherlands Institute for Health Services Research (N=600) to determine the relative importance score (RIS) of the identified attributes. A higher RIS indicates a higher level of perceived importance. Subgroup and latent class analyses were performed to explore whether individuals' demographic and disease characteristics influenced their attribute preferences. Results: A total of 21 attributes were identified during three small group interviews with individuals with type 2 diabetes. Respondents in the BWS survey (N=285) viewed "quality of life" (RIS=11.97), "clinical outcomes" (RIS=10.40), "long-term diabetes complications" (RIS=9.83) and "short-term adverse medication" (RIS=7.72) as the most important in the decision-making process for the treatment of type 2 diabetes. Some differences in attribute preferences were identified according to demographic and disease characteristics. Conclusion: In general, individuals with type 2 diabetes not only want to discuss the biological effects of treatments, but also the impact of treatment on their quality of life. Healthcare providers should be aware that attributes are viewed differently by different individuals. This emphasizes the need for tailor-made healthcare decisions, which means eliciting and responding to individual preferences in the decision-making process.
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