User-Centered Development of a Patient Decision Aid for Choice of Early Abortion Method: Multi-Cycle Mixed Methods Study.

BACKGROUND: People seeking abortion in early pregnancy have the choice between medication and procedural options for care. The choice is preference-sensitive-there is no clinically superior option and the choice depends on what matters most to the individual patient. Patient decision aids (PtDAs) are shared decision-making tools that support people in making informed, values-aligned health care choices. OBJECTIVE: We aimed to develop and evaluate the usability of a web-based PtDA for the Canadian context, where abortion care is publicly funded and available without legal restriction. METHODS: We used a systematic, user-centered design approach guided by principles of integrated knowledge translation. We first developed a prototype using available evidence for abortion seekers' decisional needs and the risks, benefits, and consequences of each option. We then refined the prototype through think-aloud interviews with participants at risk of unintended pregnancy ("patient" participants). Interviews were audio-recorded and documented through field notes. Finally, we conducted a web-based survey of patients and health care professionals involved with abortion care, which included the System Usability Scale. We used content analysis to identify usability issues described in the field notes and open-ended survey questions, and descriptive statistics to summarize participant characteristics and close-ended survey responses. RESULTS: A total of 61 individuals participated in this study. Further, 11 patients participated in think-aloud interviews. Overall, the response to the PtDA was positive; however, the content analysis identified issues related to the design, language, and information about the process and experience of obtaining abortion care. In response, we adapted the PtDA into an interactive website and revised it to include consistent and plain language, additional information (eg, pain experience narratives), and links to additional resources on how to find an abortion health care professional. In total, 25 patients and 25 health care professionals completed the survey. The mean System Usability Scale score met the threshold for good usability among both patient and health care professional participants. Most participants felt that the PtDA was user-friendly (patients: n=25, 100%; health care professionals: n=22, 88%), was not missing information (patients: n=21, 84%; health care professionals: n=18, 72%), and that it was appropriate for patients to complete the PtDA before a consultation (patients: n=23, 92%; health care professionals: n=23, 92%). Open-ended responses focused on improving usability by reducing the length of the PtDA and making the website more mobile-friendly. CONCLUSIONS: We systematically designed the PtDA to address an unmet need to support informed, values-aligned decision-making about the method of abortion. The design process responded to a need identified by potential users and addressed unique sensitivities related to reproductive health decision-making.

Preliminary testing of "roadmap to parenthood" decision aid and planning tool for family building after cancer: Results of a single-arm pilot study.

OBJECTIVE: Many young adult female cancer survivors need to use reproductive medicine, surrogacy, or adoption to have a child. This study pilot tested Roadmap to Parenthood, a web-based, self-guided decision aid and planning tool for family building after cancer (disease agnostic). METHODS: A single-arm pilot study tested feasibility, acceptability, and obtained effect size estimates of the Roadmap tool. Participants, recruited via hospital-based and social media strategies, completed a baseline survey (T1), accessed the Roadmap tool (website), then completed surveys at one- and 3-months (T2 and T3, respectively). Feasibility and acceptability were evaluated with rates of eligibility, enrollment, and survey completion, and feedback. Pairwise t-tests and repeated measures ANOVA evaluated usage effects. Effect size estimates were calculated. RESULTS: Participants (N = 98) averaged 31 years old (SD = 5.61); 71% were nulliparous. Enrollment rate was 73%, T1-T2 completion rate was 80%, and 93% accessed the website. From T1-T2, participants reported improvements in decisional conflict (p < 0.001; Cohen's d = 0.85), unmet information needs (p < 0.001; Cohen's d = 0.70), self-efficacy (p = 0.003; Cohen's d = 0.40), and self-efficacy for managing negative emotions (p = 0.03; Cohen's d = 0.29); effects were sustained at T3. There was no change in reproductive distress (p = 0.22). By T3, 94% reported increased consideration of preparatory actions and 20%-61% completed such actions. CONCLUSIONS: The Roadmap intervention was feasible to conduct, acceptable to users, and led to improvements in key psychosocial outcomes. Future directions will test intervention efficacy in a randomized controlled trial with a larger sample and over a longer period. A web-based tool may help women make decisions about family building after cancer and prepare for potential challenges.

Decision analysis of PPP project's parties based on deep consumer participation.

Although PPP(Public-private partnership) mode has been applied for a long time in infrastructural project, the success rate is not very high. The sustainability of PPP projects is still influenced by many factors. In order to examine the evolutionary stable strategies (ESSs) of social capital, government, and paying consumers, a tripartite evolutionary game model is established in this work. In order to further promote consumer participation, it is necessary to make the assumption that customer oversight and review can have an impact on service prices. The results show: i)The strategy choice of consumer depends on the comparison between supervision cost of consumer and price coefficient for consumer to social capital. ii)Consumer supervision can promote the provision of high-quality services by social capital. iii)The difference between high-quality cost and low-quality cost, subsidy coefficient, price coefficient and supervision cost of consumer are critical factors influencing both evolutionary results and trajectories. This paper also puts forward policy implications for the three stakeholders to promote social capital's high-quality strategy so as to maintain the sustainability of PPP projects.

Promoting informed decision making about maternal pertussis vaccination: the systematic development of an online tailored decision aid and a centering-based group antenatal care intervention.

Introduction: Maintaining and enhancing vaccine confidence continues to be a challenge. Making an informed decision not only helps to avoid potential future regret but also reduces susceptibility to misinformation. There is an urgent need for interventions that facilitate informed decision-making about vaccines. This paper describes the systematic development of two interventions designed to promote informed decision making and indirectly, acceptance of maternal pertussis vaccination (MPV) in the Netherlands. Materials and methods: The 6-step Intervention Mapping (IM) protocol was used for the development of an online tailored decision aid and Centering Pregnancy-based Group Antenatal Care (CP) intervention. A needs assessment was done using empirical literature and conducting a survey and focus groups (1), intervention objectives were formulated at the behavior and determinants levels (2), theoretical methods of behavior change were selected and translated into practical applications (3), which were further developed into the two interventions using user-centered design (4). Finally, plans were developed for implementation (5), and evaluation (6) of the interventions. Results: The needs assessment showed that pregnant women often based their decision about MPV on information sourced online and conversations with their partners, obstetric care providers, and peers. Responding to these findings, we systematically developed two interactive, theory-based interventions. We created an online tailored decision aid, subjecting it to four iterations of testing among pregnant women, including those with low literacy levels. Participants evaluated prototypes of the intervention positively on relevance and usability. In addition, a CP intervention was developed with midwives. Conclusion: Using IM resulted in the creation of an online decision aid and CP intervention to promote informed decision making regarding MPV. This description of the systematic development of the interventions not only serves to illustrate design rationales, it will also aid the interpretation of the evaluation of the interventions, the development of future interventions promoting informed decision and acceptance of vaccines, and comparisons with other interventions.

A Decision Aid to Support Tubal Sterilization Decision-Making Among Pregnant Women: The MyDecision/MiDecisión Randomized Clinical Trial.

Importance: Tubal sterilization is common, especially among individuals with low income. There is substantial misunderstanding about sterilization among those who have undergone the procedure, suggesting suboptimal decision-making about a method that permanently ends reproductive capacity. Objective: To test the efficacy of a web-based decision aid for improving tubal sterilization decision quality. Design, Setting, and Participants: This randomized clinical trial conducted between March 2020 and November 2023 included English- or Spanish-speaking pregnant cisgender women aged 21 to 45 years who had Medicaid insurance and were contemplating tubal sterilization after delivery. Participants were recruited from outpatient obstetric clinics in 3 US cities. Intervention: Participants were randomized 1:1 to usual care (control arm) or to usual care plus a web-based decision aid (MyDecision/MiDecisión) (intervention arm). The aid includes written, audio, and video information about tubal sterilization procedures; an interactive table comparing contraceptive options; values-clarifying exercises; knowledge checks; and a summary report. Main Outcomes and Measures: The co-primary outcomes were tubal sterilization knowledge and decisional conflict regarding the contraceptive decision. Knowledge was measured as the percentage of correct responses to 10 true-false items. Decisional conflict was measured using the low-literacy Decision Conflict Scale, with lower scores on a range from 0 to 100 indicating less conflict. Results: Among the 350 participants, mean (SD) age was 29.7 (5.1) years. Compared with the usual care group, participants randomized to the decision aid had significantly higher tubal sterilization knowledge (mean [SD] proportion of questions answered correctly, 76.5% [16.9%] vs 55.6% [22.6%]; P < .001) and lower decisional conflict scores (mean [SD], 12.7 [16.6] vs 18.7 [20.8] points; P = .002). The greatest knowledge differences between the 2 groups were for items about permanence, with more participants in the intervention arm answering correctly that tubal sterilization is not easily reversible (90.1% vs 39.3%; odds ratio [OR], 14.2 [95% CI, 7.9-25.4]; P < .001) and that the tubes do not spontaneously "come untied" (86.6% vs 33.7%; OR, 13.0 [95% CI, 7.6-22.4]; P < .001). Conclusions and Relevance: MyDecision/MiDecisión significantly improved tubal sterilization decision-making quality compared with usual care only. This scalable decision aid can be implemented into clinical practice to supplement practitioner counseling. These results are particularly important given the recent increase in demand for permanent contraception after the US Supreme Court decision overturning federal abortion protections. Trial Registration: ClinicalTrials.gov Identifier: NCT04097717.

Decision analysis in cardiac surgery: a scoping review and methodological primer.

OBJECTIVES: Randomized controlled trials are the gold standard for evidence generation in medicine but are limited by their real-world generalizability, resource needs, shorter follow-up durations and inability to be conducted for all clinical questions. Decision analysis (DA) models may simulate trials and observational studies by using existing data and evidence- and expert-informed assumptions and extend analyses over longer time horizons, different study populations and specific scenarios, helping to translate population outcomes to patient-specific clinical and economic outcomes. Here, we present a scoping review and methodological primer on DA for cardiac surgery research. METHODS: A scoping review was performed using the PubMed/MEDLINE, EMBASE and Web of Science databases for cardiac surgery DA studies published until December 2021. Articles were summarized descriptively to quantify trends and ascertain methodological consistency. RESULTS: A total of 184 articles were identified, among which Markov models (N = 92, 50.0%) were the most commonly used models. The most common outcomes were costs (N = 107, 58.2%), quality-adjusted life-years (N = 96, 52.2%) and incremental cost-effectiveness ratios (N = 89, 48.4%). Most (N = 165, 89.7%) articles applied sensitivity analyses, most frequently in the form of deterministic sensitivity analyses (N = 128, 69.6%). Reporting of guidelines to inform the model development and/or reporting was present in 22.3% of articles. CONCLUSION: DA methods are increasing but remain limited and highly variable in cardiac surgery. A methodological primer is presented and may provide researchers with the foundation to start with or improve DA, as well as provide readers and reviewers with the fundamental concepts to review DA studies.

Large language models as decision aids in neuro-oncology: a review of shared decision-making applications.

Shared decision-making (SDM) is crucial in neuro-oncology, fostering collaborations between patients and healthcare professionals to navigate treatment options. However, the complexity of neuro-oncological conditions and the cognitive and emotional burdens on patients present significant barriers to achieving effective SDM. This discussion explores the potential of large language models (LLMs) such as OpenAI's ChatGPT and Google's Bard to overcome these barriers, offering a means to enhance patient understanding and engagement in their care. LLMs, by providing accessible, personalized information, could support but not supplant the critical insights of healthcare professionals. The hypothesis suggests that patients, better informed through LLMs, may participate more actively in their treatment choices. Integrating LLMs into neuro-oncology requires navigating ethical considerations, including safeguarding patient data and ensuring informed consent, alongside the judicious use of AI technologies. Future efforts should focus on establishing ethical guidelines, adapting healthcare workflows, promoting patient-oriented research, and developing training programs for clinicians on the use of LLMs. Continuous evaluation of LLM applications will be vital to maintain their effectiveness and alignment with patient needs. Ultimately, this exploration contends that the thoughtful integration of LLMs into SDM processes could significantly enhance patient involvement and strengthen the patient-physician relationship in neuro-oncology care.

Impact of timing and format of patient decision aids for breast cancer patients on their involvement in and preparedness for decision making - the IMPACTT randomised controlled trial protocol.

BACKGROUND: After curative surgery for early-stage breast cancer, patients face a decision on whether to undergo surgery alone or to receive one or more adjuvant treatments, which may lower the risk of recurrence. Variations in survival outcomes are often marginal but there are differences in the side effects and other features of the options that patients may value differently. Hence, the patient's values and preferences are critical in determining what option to choose. It is well-researched that the use of shared decision making and patient decision aids can support this choice in a discussion between patient and clinician. However, it is still to be investigated what impact the timing and format of the patient decision aid have on shared decision making outcomes. In this trial, we aim to investigate the impact of a digital pre-consult compared to a paper-based in-consult patient decision aid on patients' involvement in shared decision making, decisional conflict and preparedness to make a decision. METHODS: The study is a randomised controlled trial with 204 patients at two Danish oncology outpatient clinics. Eligible patients are newly diagnosed with early-stage breast cancer and offered adjuvant treatments after curative surgery to lower the risk of recurrence. Participants will be randomised to receive either an in-consult paper-based patient decision aid or a pre-consult digital patient decision aid. Data collection includes patient and clinician-reported outcomes as well as observer-reported shared decision making based on audio recordings of the consultation. The primary outcome is the extent to which patients are engaged in a shared decision making process reported by the patient. Secondary aims include the length of consultation, preparation for decision making, preferred role in shared decision making and decisional conflict. DISCUSSION: This study is the first known randomised, controlled trial comparing a digital, pre-consult patient decision aid to an identical paper-based, in-consult patient decision aid. It will contribute evidence on the impact of patient decision aids in terms of investigating if pre-consult digital patient decisions aids compared to in-consult paper-based decision aids support the cancer patients in being better prepared for decision making. TRIAL REGISTRATION: ClinicalTrials.gov (NCT05573022).

'It is empowering and gives people dignity in a very difficult process': A multistage, multimethod qualitative study to understand the views of end users in the cultural adaptation of a dementia and driving decision aid.

BACKGROUND: Decisions about driving for individuals living with dementia (ILWD) can be challenging. There are limited evidence-based person-centred interventions in the United Kingdom that support decisions about transitioning to not driving or guidelines for developing decision aids for ILWD. This study aimed to understand the important features of a decision aid through the cultural adaptation of Australian dementia and driving decision aid (DDDA) for ILWD residing in the United Kingdom. METHODS: This qualitative study was theoretically underpinned by a person-centred framework and conducted over three stages: (1) Development of a draft UK-specific DDDA; (2) semistructured interviews with ILWD and an online survey with stakeholders to obtain their views on a draft UK DDDA and (3) content analysis and synthesis of qualitative data to inform the final version of the decision aid. RESULTS: Eleven ILWD and six of their spouses participated in interviews, and 102 stakeholders responded to an online survey. The four broad features identified as important to include in a decision aid for drivers living with dementia were: a structured and interactive format; positive and supportive messaging and presentation; relevant and concise content and choice-centred. The perceived benefits of the decision aid were identified as supporting conversations, enhancing collaborative decision making and enabling agency with decisions about driving and future mobility options. CONCLUSIONS: Decision aids that are underpinned by interactive choice-driven questions enhance a person-centred approach to decisions about driving. Positively framing decision aids through the presentation and content can facilitate engagement with the decision-making process about driving. The findings have implications for the development of decision aids designed for ILWD on other important health and social topics. PATIENT AND PUBLIC INVOLVEMENT: Advocating for the development of a UK DDDA were ILWD. Healthcare professionals contributed to the development of a draft UK DDDA. Former and current drivers living with dementia, family members, healthcare professionals and other support networks of ILWD participated in interviews or an online survey which informed the final version of the UK DDDA.

Anesthesia decision analysis using a cloud-based big data platform.

Big data technologies have proliferated since the dawn of the cloud-computing era. Traditional data storage, extraction, transformation, and analysis technologies have thus become unsuitable for the large volume, diversity, high processing speed, and low value density of big data in medical strategies, which require the development of novel big data application technologies. In this regard, we investigated the most recent big data platform breakthroughs in anesthesiology and designed an anesthesia decision model based on a cloud system for storing and analyzing massive amounts of data from anesthetic records. The presented Anesthesia Decision Analysis Platform performs distributed computing on medical records via several programming tools, and provides services such as keyword search, data filtering, and basic statistics to reduce inaccurate and subjective judgments by decision-makers. Importantly, it can potentially to improve anesthetic strategy and create individualized anesthesia decisions, lowering the likelihood of perioperative complications.

The Development and Testing of a Patient Decision Aid for Individuals with Homologous Recombinant Proficient Ovarian Cancer Who Are Considering Niraparib Maintenance Therapy.

New treatments for ovarian cancer are available that require trade-offs between progression-free survival and quality of life. The aim of this study was to develop a decision aid for patients with homologous recombinant proficient (HRP) tumors, as the benefit-harm ratio of niraparib needs consideration. This decision aid was created with a systematic and iterative development process based on the Ottawa Decision Support Framework. The decision aid was user-tested for acceptability, usability, and comprehensibility using a survey completed by a sample of patients with ovarian cancer and oncologists. This decision aid follows the International Patient Decision Aids Standards (IPDAS) criteria in its development. User-test respondents (n = 13 patients; 13 physicians) reported that the decision aid used language that was easy to follow (69% patients; 85% physicians), was an appropriate length (69% patients; 62% physicians) and provided the right amount of information (54% patients; 54% physicians). Most respondents (92% patients; 62% physicians) would recommend this decision aid for HRP patients considering niraparib. This is the first decision aid for patients with HRP ovarian cancers who are considering niraparib maintenance therapy. It is available on-line and is being further evaluated in a pragmatic clinical trial in Saskatchewan.

Developing a breast cancer screening decision aid in Spanish for average-risk women: a mixed methods study.

Introduction: We aimed to develop a decision aid to support shared-decision making between physicians and women with average breast cancer risk when deciding whether to participate in breast cancer screening. Methods: We included women at average risk of breast cancer and physicians involved in supporting the decision of breast cancer screening from an Academic Hospital in Buenos Aires, Argentina. We followed the International Patient Decision Aid Standards to develop our decision aid. Guided by a steering group and a multidisciplinary consultancy group including a patient advocate, we reviewed the evidence about breast cancer screening and previous decision aids, explored the patients' information needs on this topic from the patients' and physicians' perspective using semi-structured interviews, and we alpha-tested the prototype to determine its usability, comprehensibility and applicability. Results: We developed the first prototype of a web-based decision aid to use during the clinical encounter with women aged 40 to 69 with average breast cancer risk. After a meeting with our consultancy group, we developed a second prototype that underwent alpha-testing. Physicians and patients agreed that the tool was clear, useful and applicable during a clinical encounter. We refined our final prototype according to their feedback. Conclusion: We developed the first decision aid in our region and language on this topic, developed with end-users' input and informed by the best available evidence. We expect this decision aid to help women and physicians make shared decisions during the clinical encounter when talking about breast cancer screening.

Geo-spatial technology based on a multi-criteria evaluation technique used to find potential landfill sites in the town of Bule Hora in southern Ethiopia.

Solid waste has surfaced as an eminent and critical concern of environmental and social significance on a global scale, and Ethiopia, a developing country with limited income, has also encountered unfavorable outcomes due to substandard waste management practices. When pinpointing a fitting landfill location in the town of Bule Hora, various ecological, economic, and societal aspects must be considered; these may result in discord and exacerbate a multifaceted and lengthy process. Hence, this research aims to identify prospective landfill sites within the town and utilize geospatial methods, such as Multi-Criteria Evaluation and Analytic Hierarchy Process, to accomplish its objectives. The utilization of geospatial technology and multi-criteria evaluation provides an efficient manner to simultaneously address all bottlenecks involved in the selection of an appropriate landfill location. Geospatial technology evaluates and manages environmental constraints, whereas multi-criteria assessment categorizes choices based on their desirability. Furthermore, by employing a restriction map adhering to established standards, seven landfill sites have successfully been identified within the town. The Land Suitability Index assesses site suitability based on ecological factors, while the Total Hauling Distance evaluates sites within an economic framework. AHP determines weightings through 25.4 pairwise comparisons, resulting in a consistency ratio of 1.95%. The cartographic analysis is conducted using ESRI ArcGIS version 10.8 software. The findings of this study reveal that 98.69% of the area under study is subject to restrictions. The study recommends the implementation of geospatial methods for identifying suitable landfill sites, which would aid in the decision-making process and prevent hasty decisions from triggering environmental degradation. Proper waste disposal would augment the quality of life for residents by diminishing health hazards. The study endeavors to serve as a reference for other developing countries in selecting appropriate landfill sites.Implications: The town of Bule Hora also faces the problem of waste disposal; there is no scientifically selected suitable landfill. Residents of the town of Bule Hora practice waste disposal in open fields, near settlements, water bodies, roads, agricultural land, and other places. The main sources of solid waste in the town are homes, shops, hotels, restaurants, open markets, hospitals, educational institutions, private clinics, etc. Water pollution can potentially lead to the spread of waterborne diseases. According to reports from the Bule Horas Health Department, many people are affected by water-related diseases every year. These open landfill systems with no regard for settlement, topography, geology, surface, or groundwater conditions are the consequences of these unsuitable habitats and health problems. To reduce these problems, this study plays an important role in determining the suitability of landfills for the town and proposing alternative measures that can minimize negative environmental impacts from waste. This study aims to apply geospatial-based technology to a multi-criteria assessment technique to select perfectly suitable landfill sites that are environmentally friendly, economically cost-effective, and socially responsible; examine the town's current waste management system; calculate the selected parameter weights for feature ranking; and delineate solid waste landfills.

Implementing decision aids for cardiovascular disease prevention: stakeholder interviews and case studies in Australian primary care.

BACKGROUND: Australian cardiovascular disease (CVD) prevention guidelines recommend absolute CVD risk assessment, but less than half of eligible patients have the required risk factors recorded due to fragmented implementation over the last decade. Co-designed decision aids for general practitioners (GPs) and consumers have been developed that improve knowledge barriers to guideline-recommended CVD risk assessment and management. This study used a stakeholder consultation process to identify and pilot test the feasibility of implementation strategies for these decision aids in Australian primary care. METHODS: This mixed methods study included: (1) stakeholder consultation to map existing implementation strategies (2018-20); (2) interviews with 29 Primary Health Network (PHN) staff from all Australian states and territories to identify new implementation opportunities (2021); (3) pilot testing the feasibility of low, medium, and high resource implementation strategies (2019-21). Framework Analysis was used for qualitative data and Google analytics provided decision support usage data over time. RESULTS: Informal stakeholder discussions indicated a need to partner with existing programs delivered by the Heart Foundation and PHNs. PHN interviews identified the importance of linking decision aids with GP education resources, quality improvement activities, and consumer-focused prevention programs. Participants highlighted the importance of integration with general practice processes, such as business models, workflows, medical records and clinical audit software. Specific implementation strategies were identified as feasible to pilot during COVID-19: (1) low resource: adding website links to local health area guidelines for clinicians and a Heart Foundation toolkit for primary care providers; (2) medium resource: presenting at GP education conferences and integrating the resources into audit and feedback reports; (3) high resource: auto-populate the risk assessment and decision aids from patient records via clinical audit software. CONCLUSIONS: This research identified a wide range of feasible strategies to implement decision aids for CVD risk assessment and management. The findings will inform the translation of new CVD guidelines in primary care. Future research will use economic evaluation to explore the added value of higher versus lower resource implementation strategies.

Evaluating lake water quality with a GIS-based MCDA integrated approach: a case in Konya/Karapinar.

Considering water quality is an essential requirement in terms of environmental planning and management. To protect and manage water resources effectively, it is necessary to develop an analytical decision-support system. In this study, a systematic approach was suggested to evaluate the lake water quality. The methodology includes the prediction of the values in different locations of the lakes from experimental data through inverse distance weighting (IDW) method, creation of maps by using Geographic Information System (GIS) integrated with analytic hierarchy process (AHP) from multi-criteria decision analysis (MCDA), reclassification into five class, combining the time-related spatial data into a single map to predict the whole lake water quality from the data of sampling points, and finally overlapping the final maps with topography/geology and land use. The proposed approach was verified and presented as case study for Meke and Acigol Lakes in Konya/Turkey which were affected by human and natural factors although they have ecological, hydromorphological, and socio-economic importance. In the proposed approach, categorizing water quality parameters as "hardness and minerals," "substrates and nutrients," "solids content," "metals," and "oil-grease" groups was helpful for AHP with the determined group weights of 0.484, 0.310, 0.029, and 0.046, respectively. Assigning weights within each group and then assigning weights between groups resulted in creating accurate final map. The proposed approach is flexible and applicable to any lake water quality data; even with a limited number of data, the whole lake water quality maps could be created for assessment.

Effectiveness of a Digital Decision Aid for Nutrition Support in Women with Gynaecological Cancer: A Comparative Study.

This study aimed to examine the effects of an animated Patient Decision Aid (PtDA) about dietary choices on decisional conflict and decision regret. A prospective, observational, two-group comparative effectiveness study was conducted with patients (n = 90) from a southern Taiwan oncology inpatient unit. Data included the Malnutrition Universal Screening Tool (MUST), laboratory results, 16-item Decisional Conflict Scale (sf-DCS), and 5-item Decision Regret Scale (DRSc). Data were collected at admission (T0), after the first-cycle of chemotherapy but before discharge (T1), and after the six-cycle chemotherapy protocol (T2) (around 3 months). Group A received standardized nutrition education and a printed brochure, while Group B watched a 10-minute information video during a one-on-one inpatient consultation and engaged in a values clarification exercise between T0 and T1. The percentage of women with a MUST score ≧1 in Group A sharply increased over time, but not in Group B. Decision aid usage significantly increased patients' hemoglobin and lymphocyte values over time (p < 0.05). The digital PtDA contributed to less decisional conflict and decision regret in at-risk patients and improved their nutritional well-being. Decision-aids help patients make healthcare decisions in line with their values, and are sustainable for use by busy clinicians.