Development of the Benefit-Risk Assessment of Complementary and Alternative Medicine Use in People With Diabetes: A Delphi-Analytic Hierarchy Process Approach

Multicriteria Decision-Making in Diabetes Management and Decision Support: Systematic Review

BACKGROUND

Diabetes mellitus prevalence is increasing among adults and children around the world. Diabetes care is complex; examining the diet, type of medication, diabetes recognition, and willingness to use self-management tools are just a few of the challenges faced by diabetes clinicians who should make decisions about them. Making the appropriate decisions will reduce the cost of treatment, decrease the mortality rate of diabetes, and improve the life quality of patients with diabetes. Effective decision-making is within the realm of multicriteria decision-making (MCDM) techniques.

OBJECTIVE

The central objective of this study is to evaluate the effectiveness and applicability of MCDM methods and then introduce a novel categorization framework for their use in this field.

METHODS

The literature search was focused on publications from 2003 to 2023. Finally, by applying the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method, 63 articles were selected and examined.

RESULTS

The findings reveal that the use of MCDM methods in diabetes research can be categorized into 6 distinct groups: the selection of diabetes medications (19 publications), diabetes diagnosis (12 publications), meal recommendations (8 publications), diabetes management (14 publications), diabetes complication (7 publications), and estimation of diabetes prevalence (3 publications).

CONCLUSIONS

Our review showed a significant portion of the MCDM literature on diabetes. The research highlights the benefits of using MCDM techniques, which are practical and effective for a variety of diabetes challenges.

Nurse-led shared decision-making on complementary therapy use by patients with diabetes: An participatory action research

AIMS

The aim of this study was to develop, implement and evaluate a nurse-led shared decision-making model of care for discussing the use of complementary and alternative medicine with diabetic patients and to explore to what extent the risk-benefit assessment of using complementary and alternative medicine can provide a framework for facilitating nurse-patient dialogue and strengthening patient involvement in their disease management.

DESIGN

Participatory action research with pre-post intervention.

METHODS

A two-run cycle of action and spirals from participatory action research was undertaken using a purposive sampling method to involve healthcare professionals and diabetic patients from September 2021 to June 2022. The nurse-led shared decision-making model of care was designed and implemented congruent with participatory action research principles. Quantitative measures were collected about patients' perceived involvement in shared decision-making and their understanding of the risks and benefits of using complementary and alternative medicine. Patients' outcomes of disease control (fasting plasma glucose and HbA1c) were also collected. Data were analysed using IBM SPSS software (version 28). Interviews were summarized using thematic analysis. An EQUATOR Network guideline for participatory action research supported the preparation of this paper.

RESULTS

Comparison of pre-post intervention outcomes showed that patients' scale scores on shared decision-making involvement and understanding of the risk-benefit of using complementary and alternative medicine improved significantly after implementing the model. Fasting plasma glucose improved only slightly after a 3-month follow-up.

CONCLUSIONS

The care model strengthens patient involvement in their disease management and makes appropriate decisions about CAM use that should reduce potentially harmful side effects or interactions between CAM and conventional medicine.

IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE

The shared decision-making model of care incorporates evidence-based CAM research into practice, facilitates the standardization of CAM management in diabetes, improves care options for patients and educates nurses about CAM use in managing diabetes.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

Factors Considered Important by Healthcare Professionals for the Management of Using Complementary Therapy in Diabetes: A Text-Mining Analysis

Text-mining algorithms can identify the most prevalent factors of risk-benefit assessment on the use of complementary and integrative health approaches that are found in healthcare professionals' written notes. The aims of this study were to discover the key factors of decision-making on patients' complementary and integrative health use by healthcare professionals and to build a consensus-derived decision algorithm on the benefit-risk assessment of complementary and integrative health use in diabetes. The retrospective study of an archival dataset used a text-mining method designed to extract and analyze unstructured textual data from healthcare professionals' responses. The techniques of classification, clustering, and extraction were performed with 1398 unstructured clinical notes made by healthcare professionals between 2019 and 2020. The most important factor for decision-making by healthcare professionals about complementary and integrative health use in patients with diabetes was the ingredients of the product. Other important factors were the patient's diabetes control, the undesirable effects from complementary and integrative health, evidence-based complementary and integrative health, medical laboratory data, and the product's affordability. This exploratory text-mining study provides insight into how healthcare professionals decide complementary and integrative health use for patients with diabetes after a risk-benefit assessment from clinical narrative notes.

The effect of a virtual simulation-based educational application on nursing students' belief and self-efficacy in communicating with patients about complementary and alternative medicine

BACKGROUND

Simulation-based learning that focuses on the development and assessment of communication and counseling skills can help nursing students achieve better skill performance and gain self-confidence with decision-making ability. It is unknown whether virtual simulation as an instructional design significantly improves educational outcomes than a traditional lecture with low-fidelity simulation in students.

OBJECTIVES

The aim was to explore the effect of a virtual simulation-based educational smartphone application on nursing students' beliefs and self-efficacy in communicating with patients about complementary and alternative medicine (CAM) use.

DESIGN

A quasi-experimental study with pretest-posttest nonequivalent control group design.

SETTINGS AND PARTICIPANTS

A total of 101 nursing students, who were in their second or third-year nursing program at a Southern Taiwan university volunteered to participate in the academic year 2020-2021. Participants were assigned to an experimental or control group in an elective course.

METHODS

All participants received a 4-hour lecture that included an in-class lecture with low-fidelity simulation (paper-based scenarios) about the risk-benefit assessment of a patient's CAM use. The experimental group received a series of 13 virtual simulation exercises with clinical scenarios by means of a smartphone application. Data from belief and self-efficacy scales were collected at the beginning and end of the course from September 2020 to February 2021. Descriptive and inferential statistics were analyzed using the IBM® SPSS® version 23.0.

RESULTS

Although both groups significantly improved their belief and self-efficacy scale scores, the experimental group had significant differences in overall self-efficacy in communicating with patients about CAM use compared with the control group, specifically the CAM perceptions and self-confidence scores.

CONCLUSIONS

Although both in-class and virtual simulation improved nursing students' belief and self-efficacy, the virtual simulation-based educational app is effective as an adjunct learning tool in significantly increasing nursing students' self-efficacy in communicating with patients about CAM use to help minimize their risks.