UNASSIGNED: To explore 1) the level of shared decision-making (SDM) participation in intraocular lens (IOL) selection in cataract patients and the factors that influence this participation and 2) the relationships between preparation for decision-making (PrepDM)and the level of SDM participation and satisfaction with the decision (SWD). Provide guidance for improving SDM in ophthalmology.
UNASSIGNED: 176 cataract patients were asked to complete the PrepDM scale, the 9-item Shared Decision Making Questionnaire (SDM-Q-9) and the SWD instrument in IOL decision-making process. Multiple linear regression was used to analyze the influencing factors of the level of SDM. The Process program and bootstrap sampling method was used to test whether the level of participation in SDM was a mediating variable among the three.
UNASSIGNED: The SDM-Q-9 median score was 77.78 (IQR 31.11-88.89). Patients with a history of surgery in the operative eye (P=0.022) or PrepDM <60 points (P<0.001) had lower SDM-Q-9 scores than patients with no history of surgery in the operative eye or PrepDM ≥60 points. Patients with an education level lower than primary school had lower SDM-Q-9 scores than patients with other education levels (P<0.05). The PrepDM of cataract patients was positively correlated with the level of SDM (r=0.768, P<0.001) and with the SWD (r=0.727, P<0.001), and the level of SDM was positively correlated with the SWD (r=0.856, P<0.001). The level of SDM fully mediated PrepDM and SDW, with a mediating effect value of 0.128 and a mediating effect of 86.66% of the total effect.
UNASSIGNED: The SDM of cataract patients involved in IOL selection was in the upper middle range. Education, history of surgery in the operated eye, and PrepDM were factors that influenced the level of SDM. The level of participation in SDM fully mediated the relationship between PrepDM and SWD.

Patients with differences of sex development (DSDs) have complex anatomy and surgical needs related to both Mullerian and non-Mullerian structures. Approaches to vaginal reconstruction for these conditions are guided by individual anatomy, with the goal of establishing unobstructed outflow for the reproductive, urinary, and gastrointestinal tracts. Patients may have anatomy requiring vaginoplasty for either outflow tract obstruction or chosen sexual function. In this article, the authors focus on management of differences in vaginal anatomy with delayed vaginoplasty for the newborn with DSD.

BACKGROUND: Social risk data collection is expanding in community health centers (CHCs). We explored clinicians\' practices of adjusting medical care based on their awareness of patients\' social risk factors-that is, changes they make to care plans to mitigate the potential impacts of social risk factors on their patients\' care and health outcomes-in a set of Texas CHCs.
METHODS: Convergent mixed methods. Surveys/interviews explored clinician perspectives on adjusting medical care based on patient social risk factors. Survey data were analyzed with descriptive statistics; interviews were analyzed using thematic analysis and inductive coding.
RESULTS: Across 4 CHCs, we conducted 15 clinician interviews and collected 97 surveys. Interviews and surveys overall indicated support for adjustment activities. Two main themes emerged: 1) clinicians reported making frequent adjustments to patient care plans based on their awareness of patients\' social contexts, while simultaneously expressing concerns about adjustment; and 2) awareness of patients\' social risk factors, and clinician time, training, and experience all influenced clinician adjustments.
CONCLUSIONS: Clinicians at participating CHCs described routinely adjusting patient care plans based on their patients\' social contexts. These adjustments were being made without specific guidelines or training. Standardization of adjustments may facilitate the contextualization of patient care through shared decision making to improve outcomes.

OBJECTIVE: This study explored the decision-making experiences of patients and their partners or primary caregiver who opted for experimental active surveillance (instead of standard surgery) for the treatment of esophageal cancer.
METHODS: Seventeen couples participated. Semi-structured interviews were conducted on couples\' joint experiences as well as their individual experiences. Preferred and perceived role in the treatment decision-making process was assessed using the adjusted version of the Control Preferences Scale, and perceived influence on the treatment decision was measured using a visual analog scale.
RESULTS: Couples reflected on the decision-making process as a positive collaboration, where patients retain their autonomy by making the final decision, and partners offer emotional support. Couples reported about an overwhelming amount and sometimes conflicting information about treatments among different hospitals and healthcare providers.
CONCLUSIONS: Patients often involve their partner in decision-making, which they report to have enhanced their ability to cope with the disease. The amount and sometimes conflicting information during the decision-making process provide opportunities for improvement.
CONCLUSIONS: Couples can benefit from an overview of what they can expect during treatment course. If active surveillance becomes an established treatment option in the future, provision of such overviews and consistent information should become more streamlined.

BACKGROUND: Nominal group technique (NGT) is widely used in healthcare research to facilitate decision-making and consensus-building. Traditional NGT requires face-to-face interaction and its limitations include potential biases, logistical challenges and high costs. The COVID-19 pandemic necessitated a shift to virtual methods, which led to the development of virtual nominal group technique (vNGT). Aim To reflect on the use of vNGT, particularly in the context of Ghader et al (2023 ), to understand its effectiveness in overcoming the limitations of traditional NGT and on its applicability in pandemic-affected scenarios.
METHODS: This paper reviews and discusses literature on the use and effectiveness of NGT compared to other consensus-building methods and examines the emergence of vNGT in overcoming the limitations of traditional NGT. The authors also reflect on their use of vNGT in a study to identify cardiovascular research priorities in the UAE and provide details of its implementation.
CONCLUSIONS: vNGT bridges the gap between the localised nature of traditional NGT and the global reach of the Delphi technique. It allows for the inclusion of diverse participants, saves costs and offers time-efficiency. The study demonstrated vNGT\'s adaptability, with participants engaging in idea generation, discussion and prioritisation using online tools. However, challenges persist with vNGT, including reduced accessibility for certain demographics, timing issues across time zones and technical difficulties.
CONCLUSIONS: vNGT successfully integrates the interactive, consensus-building aspects of NGT with the broad reach of Delphi. It can be valuable in research and decision-making, especially in an era of increased remote collaboration.
CONCLUSIONS: vNGT can significantly impact healthcare research and policy formulation by enabling more inclusive, cost-effective and timely consensus-building processes. However, considerations for accessibility and technical support are crucial for its wider adoption and effectiveness.

Fetal cardiology has evolved over the last 40 years and changed the timing of diagnosis and counseling of congenital heart disease, decision-making, planning for treatment at birth, and predicting future surgery from the postnatal to the prenatal period. Ethical issues in fetal cardiology transect multiple aspects of biomedical ethics including improvement in prenatal detection and diagnostic capabilities, access to equitable comprehensive care that preserves a pregnant person\'s right to make decisions, access to all reproductive options, informed consent, complexity in shared decision-making, and appropriate use of fetal cardiac interventions. This paper first reviews the literature and then provides an ethical analysis of accurate and timely diagnosis, equitable delivery of care, prenatal counseling and shared decision-making, and innovation through in utero intervention.

UNASSIGNED: Decision support can improve shared decision-making for breast cancer treatment, but workflow barriers have hindered widespread use of these tools. The goal of this study was to understand the workflow among breast cancer teams of clinicians, patients, and their family caregivers when making treatment decisions and identify design guidelines for informatics tools to better support treatment decision-making.
UNASSIGNED: We conducted observations of breast cancer clinicians during routine clinical care from February to August 2022. Guided by the work system model, a human factors engineering model that describes the elements of work, we recorded all aspects of clinician workflow using a tablet and smart pencil. Observation notes were transcribed and uploaded into Dedoose. Two researchers inductively coded the observations. We identified themes relevant to the design of decision support that we classified into the 4 components of workflow (ie, flow of information, tasks, tools and technologies, and people).
UNASSIGNED: We conducted 20 observations of breast cancer clinicians (total: 79 hours). We identified 10 themes related to workflow that present challenges and opportunities for decision support design. We identified approximately 48 different decisions discussed during breast cancer visits. These decisions were often interdependent and involved collaboration across the large cancer treatment team. Numerous patient-specific factors (eg, work, hobbies, family situation) were discussed when making treatment decisions as well as complex risk and clinical information. Patients were frequently asked to remember and relay information across the large cancer team.
UNASSIGNED: Based on these findings, we proposed design guidelines for informatics tools to support the complex workflows involved in breast cancer care. These guidelines should inform the design of informatics solutions to better support breast cancer decision-making and improve patient-centered cancer care.

OBJECTIVE: Despite increased access to contraceptive methods (CM), the US still has the highest rate of adolescent pregnancy among industrialized nations, and adolescents from historically marginalized groups are disproportionately affected. In this study, we sought to (1) understand if differences in CM usage were associated with differential percentages of new pregnancies among adolescents and young adult patients attending a family planning (FP) clinic at an urban community practice and (2) identify areas of improvement in our FP counseling.
METHODS: Mixed-methods study design consisting of (1) a 12-month retrospective chart review and (2) a self-answered cross-sectional survey of FP patients. Chi-square, Fisher\'s exact tests, and risk ratio were performed to analyze the percentage of new pregnancies according to CM usage.
RESULTS: The percentage of new pregnancies was 11 among our FP patients (N=555) during this study period. As anticipated, pregnancy was associated with no CM use, CM discontinuation, and, interestingly, multiple CM changes (p<0.001). The probability of no-pregnancy significantly decreased among patients on no method, who discontinued their CM or made multiple CM changes compared to those with continuous CM use. There was no association between the percentage of new pregnancies and any particular CM type.
CONCLUSIONS: Despite adequate access to FP patient services and high patient satisfaction levels, our findings indicate a need to adopt a more patient-centered approach in our FP counseling that addresses patient\'s reproductive life plans, preferences, and method side effects to increase CM uptake and satisfaction and decrease frequency of CM changes which is associated with increased risk of mistimed pregnancy during method switching.

OBJECTIVE: The purpose of this practice example from one clinical center is to illustrate the use of interdisciplinary mobility, nutrition, and quality-of-life tools to guide prognostication, which can facilitate discussion on further treatment and goals of care.
METHODS: Peer-reviewed scientific publications, expert opinions, and a case study are used to illustrate the advantages of using interdisciplinary assessment tools to assist in prognostication, culminating in shared decision-making.
RESULTS: This overview includes tools identified for use by interdisciplinary teams to identify high-risk patients appropriate for timely discussions regarding goals of care to maximize the probability that people receive care aligned with their goals and values that are informed by prognostic concordance.
CONCLUSIONS: Tools assessing mobility, functional status, nutrition, and quality of life can assist the interdisciplinary team in providing whole-person care and in forecasting mortality, thus giving the team valid and reliable information to present to patients and families in the shared decision-making process. Further research is needed to synthesize findings from these tools and share information amongst team members in a cohesive and reliable manner.
CONCLUSIONS: Nurses spend more time at the bedside than any other discipline. Improved knowledge of tools to forecast patients at elevated risk for mortality will empower collaboration with other disciplines to improve prognostic concordance and enhance shared decision-making culminating in optimal patient-centered care.

UNASSIGNED: Patient preference assessment is key to high-quality decision-making in men with prostate cancer. We aimed to determine if \"phenotypes\" could be identified among men with prostate cancer, with each phenotype representing a cohort with a distinct combination of preferences. We wished to learn if there was an association between phenotype and treatment selection.
UNASSIGNED: A prospective cohort of men with prostate cancer received a pre-visit decision aid. This software used conjoint analysis to quantify relative patient preferences for treatment-associated survival, quality of life outcomes, and recovery time. We collected patient clinical data, physician recommendation for active treatment or surveillance, and treatments received. Preferences were analyzed using latent class analysis to identify distinct classes of preference phenotypes. We compared patient characteristics and treatment choice across phenotypes, both univariately and in a multivariable logistic regression.
UNASSIGNED: In 250 men who used the decision aid as part of routine care, latent class analysis revealed 3 phenotypic classes. Men in Class 1 had the highest concerns around recovery time and the lowest value on improving lifespan. Men in Class 2 had relatively evenly distributed concerns. Men in Class 3 had the lowest concerns around recovery time and risk of surgical complications. On multivariate analysis, treatment choice was not associated with preference-based phenotype. Only physician recommendation was associated with choice of active treatment.
UNASSIGNED: We identified the existence of 3 patient preference-based phenotypes in men with prostate cancer. Each phenotype had a unique combination of trade-offs when considering competing treatment outcomes. These phenotypes were not associated with treatment. Physician recommendation was the only factor determining treatment choice.