Exploring the Key Factors of Shared Decision-Making Through an Influential Network Relation Map: The Orthopedic Nurse's Perspective

Abstract

BackgroundFew studies have used quantitative methods to explore the key factors affecting shared decision-making (SDM) in nursing decision-making from the perspective of orthopedic nurses.PurposeTo understand the intercorrelations among shared decision-making questionnaire–nurse (SDM-Q-NUR) factors and identify key factors for clinical nursing care decisions in orthopedics.MethodsIn May 2021, this study investigated the interdependence of the SDM-Q-NUR scale and developed an influential network-relation map (INRM) from the clinical experience of 13 trained orthopedic nurses using the Decision-making Trial and Evaluation Laboratory method.ResultsThe INRM results showed that the nine criteria corresponded to three stages: preparation, discussion, and decision. “I helped my patient or patient's family understand all the information” (C5) and “I wanted to know from my patient or patient's family how they want to be involved in making the nursing care decision” (C2) are the main key factors for the beginning of nursing decision. In the discussion and decision stages, the corresponding key factors are “I made it clear to my patient or patient's family that a nursing care decision needs to be made” (C1) and “I asked my patient or patient's family which nursing care option they prefer” (C6). The result's statistical significance confidence and gap error were 98.106% and 1.894%, respectively.ConclusionsWhen making nursing decisions with patients, orthopedic nurses need to have detailed information about how patients are involved in SDM and all relevant information. Nurses should also inform patients and their families regarding the purpose of the discussion, namely, to help one understand the content, advantages, and disadvantages of the nursing care options, and finally, make a decision.

Determining the Development Strategy and Suited Adoption Paths for the Core Competence of Shared Decision-Making Tasks through the SAA-NRM Approach

“…Liu et al [ 8 ] applied the DEMATEL method to identify critical factors for SDM implementation. Jin Y et al [ 95 ] proposed considering the interaction between the criteria in the SDM-questionnaire-nurse scale through NRM from the orthopedic nurse’s perspective. The SDM training programs mentioned in the past literature vary widely regarding course evaluation, training duration, training tools, teaching methods, participant reflection, advantages or abilities learned from SDM training, and facilitator or barriers to SDM implementation [ 6 , 24 , 27 , 96 ].…”

Using hybrid consistent fuzzy preference relations–importance‐performance analysis model to improve shared decision‐making quality based on orthopaedic nurses' perceptions

“…First, this study applied the SDM-Q-NUR evaluation model, which is constructed on multiple shared decision-making questionnaire (SDM-Q) models and the clinical nursing environment (Jin et al, 2022).…”

“…First, this study applied the SDM‐Q‐NUR evaluation model, which is constructed on multiple shared decision‐making questionnaire (SDM‐Q) models and the clinical nursing environment (Jin et al, 2022). Next, the CFPRs method was applied to obtain the attribute weights in the evaluation model.…”

“…Liu et al (2021) used the decision‐making trial and evaluation laboratory (DEMATEL) method to explore the key factors of SDM from brain clinicians' perspectives. Jin et al (2022) applied an influential network relation map to explore the key factors of SDM from orthopaedic nurses' perspectives. However, few studies have analysed the key factors of SDM in clinical practice through decision analysis methods and developed an assessment model for improving the quality of SDM in clinical care decision‐making.…”

Establishing the Competency Development and Talent Cultivation Strategies for Physician-Patient Shared Decision-Making Competency Based on the IAA-NRM Approach

“…Many studies have used DEMATEL methods through the NRM approach to solve complex decision issues, such as the analysis of user interface [ 56 ], the airline safety management system [ 57 ], building the value-created system in the science (technology) park [ 58 ], identifying product positions by the hybrid multiple criteria decision-making (MCDM) model [ 59 ], selection of driving aspects for digital music service platforms by a hybrid MCDM approach [ 60 ], the structural model of sustainable consumption and production adoption based on a grey-DEMATEL approach [ 61 ], evaluating the model of culture festival events’ service by the MCDM approach [ 62 ], the analysis of the med-tech industry entry strategy during the COVID-19 pandemic [ 63 ], identification of the key success factors of SDM [ 12 ], determining urban revitalization and regional development strategies considering urban stakeholders [ 64 ], exploring the hindering factors for medical information standards’ dissemination [ 65 ], defining the critical factors for urban music festival tourism [ 66 ], identifying key performance indexes of hospital management by double hierarchy hesitant fuzzy linguistic term sets (DHHFL)–DEMATEL method [ 67 ], exploring the relationship among acute kidney injury risk factors, with or without COVID-19 [ 68 ], adopting the fuzzy DEMATEL method to determine the driving forces of enterprise environmental responsibility for the Chinese auto manufacturing industry [ 69 ], and analyzing the critical factors affecting SDM from orthopedic nurses’ perspectives [ 70 ].…”