Opportunity and accessibility: an environmental scan of publicly available data repositories to address disparities in healthcare decision-making.

BACKGROUND: Health disparities, starkly exposed and exacerbated by coronavirus disease 2019, pose a significant challenge to healthcare system access and health outcomes. Integrating health inequalities into health technology assessment calls for robust analytical methodologies utilizing disaggregated data to investigate and quantify the scope of these disparities. However, a comprehensive summary of population datasets that can be used for this purpose is lacking. The objective of this review was to identify publicly accessible health inequalities data repositories that are potential resources for healthcare decision-making and future health technology assessment submissions. METHODS: An environmental scan was conducted in June of 2023 of six international organizations (World Health Organization, Organisation for Economic Co-operation and Development, Eurostat, United Nations Inter-agency Group for Child Mortality Estimation, the United Nations Sustainable Development Goals, and World Bank) and 38 Organisation for Economic Co-operation and Development countries. The official websites of 42 jurisdictions, excluding non-English websites and those lacking English translations, were reviewed. Screening and data extraction were performed by two reviewers for each data repository, including health indicators, determinants of health, and health inequality metrics. The results were narratively synthesized. RESULTS: The search identified only a limited number of country-level health inequalities data repositories. The World Health Organization Health Inequality Data Repository emerged as the most comprehensive source of health inequality data. Some country-level data repositories, such as Canada's Health Inequality Data Tool and England's Health Inequality Dashboard, offered rich local insights into determinants of health and numerous health status indicators, including mortality. Data repositories predominantly focused on determinants of health such as age, sex, social deprivation, and geography. CONCLUSION: Interactive interfaces featuring data exploration and visualization options across diverse patient populations can serve as valuable tools to address health disparities. The data they provide may help inform complex analytical methodologies that integrate health inequality considerations into healthcare decision-making. This may include assessing the feasibility of transporting health inequality data across borders.

Advancing medical imaging: detecting polypharmacy and adverse drug effects with Graph Convolutional Networks (GCN).

Polypharmacy involves an individual using many medications at the same time and is a frequent healthcare technique used to treat complex medical disorders. Nevertheless, it also presents substantial risks of negative medication responses and interactions. Identifying and addressing adverse effects caused by polypharmacy is crucial to ensure patient safety and improve healthcare results. This paper introduces a new method using Graph Convolutional Networks (GCN) to identify polypharmacy side effects. Our strategy involves developing a medicine interaction graph in which edges signify drug-drug intuitive predicated on pharmacological properties and hubs symbolize drugs. GCN is a well-suited profound learning procedure for graph-based representations of social information. It can be used to anticipate the probability of medicate unfavorable impacts and to memorize important representations of sedate intuitive. Tests were conducted on a huge dataset of patients' pharmaceutical records commented on with watched medicate unfavorable impacts in arrange to approve our strategy. Execution of the GCN show, which was prepared on a subset of this dataset, was evaluated through a disarray framework. The perplexity network shows the precision with which the show categories occasions. Our discoveries demonstrate empowering advance within the recognizable proof of antagonistic responses related with polypharmaceuticals. For cardiovascular system target drugs, GCN technique achieved an accuracy of 94.12%, precision of 86.56%, F1-Score of 88.56%, AUC of 89.74% and recall of 87.92%. For respiratory system target drugs, GCN technique achieved an accuracy of 93.38%, precision of 85.64%, F1-Score of 89.79%, AUC of 91.85% and recall of 86.35%. And for nervous system target drugs, GCN technique achieved an accuracy of 95.27%, precision of 88.36%, F1-Score of 86.49%, AUC of 88.83% and recall of 84.73%. This research provides a significant contribution to pharmacovigilance by proposing a data-driven method to detect and reduce polypharmacy side effects, thereby increasing patient safety and healthcare decision-making.

Do behavioral drivers matter for healthcare decision-making during crises? A study of low-income women in El Salvador during the COVID-19 pandemic.

Understanding health-seeking behaviors and their drivers is key for governments to manage health policies. A growing body of research explores the role of cognitive biases and heuristics in health and care-seeking behaviors, but little is known about how a context of heightened anxiety and uncertainty might influence these behavioral drivers. This study analyzes the association between four behavioral predictors-internal locus of control, impatience, optimism bias, and aspirations-and healthcare decisions among low-income women in El Salvador, controlling for other factors. We find positive associations between internal locus of control and preventive health behaviors during the COVID-19 pandemic. For instance, a one standard deviation increase in locus of control is associated with a 10% increase in an index measuring the use of masks, distancing, hand washing, and vaccination. Locus of control was also associated with women's use of preventive health services (one standard deviation improves the likelihood of having a hypertension test in the last six months by 5.8 percentage points). In a sub-sample of mothers, we find significant relationships between the four behavioral drivers and the decisions the mothers make for their children. However, we find these associations are less robust compared to the decisions they make for themselves. Some associations were stronger during the pandemic, suggesting that feelings of uncertainty and stress could amplify behavioral drivers' influence on health-related behaviors. This novel finding is relevant for designing policy responses for future shocks. JEL CODES: I12, D10, D91, I30.

New Mothers With Postpartum Depression: A Qualitative Exploration of Healthcare Decision-Making.

Postpartum depression (PPD) is a significant health issue for many new mothers in the weeks and months following a child's birth. Quantitative data suggest that a mother's PPD negatively impacts healthcare decision-making for the child via routine well-baby visits and pediatric care. However, little is known from a qualitative perspective about the factors that challenge or facilitate these healthcare decisions. The purpose of this descriptive qualitative study was to understand the perceptions of new mothers about factors contributing to their healthcare decision-making, for themselves and for their children, while living with PPD. The researchers used purposive sampling to recruit eight women from clinics, community organizations, and social media support groups who met the study's inclusion criteria. Individual semi-structured interviews were carried out with eight participants about their PPD experiences, motherhood, and healthcare decision-making influences. Transcribed interviews and initial themes were shared with participants to verify researcher interpretations and aid in the analysis process. The researchers analyzed interview data using thematic analysis to cultivate an understanding of the phenomenon by identifying and interpreting patterns in the data. Three primary themes were drawn from the data analysis: (1) Importance of Clinician Trust and Support; (2) Balancing the Health of the Mother and Child; and (3) Other Support Structures That Facilitate Healthcare Decision-Making for the Mother and Baby Dyad. Participant experiences underscored the need for cohesive approaches by clinical providers of pre- and postnatal care. Group model approaches to postnatal care appear to mitigate or reduce the impact of PPD.

Does healthcare decision-making capacity affect women's justification of sexual violence? The situation of sub-Saharan Africa.

Sexual violence against women is commonly justified in sub-Saharan Africa (SSA) despite international commitments to halt it. This study investigated the association between healthcare decision-making capacity and the justification of sexual violence among women in SSA. We used current datasets of 30 sub-Saharan African countries published between January 2010 and December 2018. The sample included 259,885 women who were in sexual unions. We extracted and analysed the data with Stata version 14. Chi-square test and multilevel logistic regression models were used to analyse the data. Results for the regression analysis were presented as adjusted odds ratios (AOR) with their corresponding 95% confidence intervals (CIs). The results showed that women who decided on their healthcare alone had lower odds [AOR=0.93; CI=0.91-0.96] of justifying sexual violence compared to those who were not deciding alone. We also found that women aged 45-49 [AOR=0.85; CI=0.82-0.89], those with higher education [AOR=0.26; CI=0.24-0.29], cohabiting women (AOR=0.82, CI=0.80-0.85], richest women [AOR= 0.58; CI=0.56-0.60], women living in urban areas [AOR=0.74; CI=0.73-0.76], and Christians [AOR=0.52; CI=0.51-0.54] had lower odds of justifying wife beating if a woman refuses to have sex with her partner. On the contrary, women who engaged in agriculture had higher odds of justifying sexual violence than those who were not working [AOR=1.07; CI=1.04-1.09]. Groups that should be prioritised with anti-sexual violence initiatives are the poor, rural residents, and young women. It is also vital to institute policies and interventions focused on educating men about women's right to make decisions, and why partner violence is unjust and intolerable.

What Is Value in Health and Healthcare? A Systematic Literature Review of Value Assessment Frameworks.

OBJECTIVES: This study aimed to investigate how value is defined and measured in existing value assessment frameworks (VAFs) in healthcare. METHODS: We searched PubMed, Embase, the Cochrane Library, and Centre for Reviews and Dissemination from 2008 to 2019. We also performed backward citation chaining of included studies and previously published systematic reviews. Studies reporting the development of a VAF in healthcare were included. For each included framework, we extracted and compared the context, target users, intended use, methods used to identify value attributes, description of the attributes, and attribute scoring approaches. RESULTS: Of the 8151 articles screened, 57 VAFs were included. The value attributes included in 55 VAFs were grouped into 9 categories: health benefits (n = 53, 96%), affordability (n = 45, 82%), societal impact (n = 42, 76%), burden of disease (n = 36, 65%), quality of evidence (n = 32, 58%), cost-effectiveness (n = 31, 56%), ethics and equity (n = 27, 49%), unmet needs (n = 21, 38%), and innovation (n = 15, 27%). The remaining 2 VAFs used broad attributes or user-defined attributes. Literature review was the main approach to identify value attributes in 36 VAFs. Patient or public was engaged through the development of only 11 VAFs. Weighting has been used to score 29 VAFs, of which 19 used the methods of multicriteria decision analysis. CONCLUSIONS: There are substantial variations in defining and measuring value. A noticeable weakness of existing VAFs is that patient or public engagement was generally very limited or missing in framework development process. Existing VAFs tend to aggregate multiple value attributes into a single index for decision making.

Decision-Making Capacity in Healthcare: Instruments Review and Reflections About its Assessment in the Elderly with Cognitive Impairment and Dementia.

The prevalence of neurodegenerative diseases has been significantly increasing in the last decades, and it is expected to continue to grow. These health disorders can impair patients' decision-making capacity in healthcare. The capacity to make healthcare decisions is a fundamental pillar of informed consent, therefore, it should be carefully assessed. Clinicians' assessment, when not supported by a standardized tool, has revealed to be unreliable, so the recourse to an instrument of capacity assessment is crucial. The present paper aims to identify and summarize published instruments of healthcare decision-making capacity. To do so, a search of peer-reviewed articles in English, Portuguese and Spanish was conducted. A total of eighteen articles, detailing seventeen assessment instruments were selected. Instruments differ on format, structure, assessed abilities and psychometric properties. Likewise, instruments' targeted population also varies, with a few being specifically developed for patients with dementia. Although a high number of instruments were found, there is still no gold standard for healthcare decision-making capacity assessment. The lack of a gold standard highlights the need for more research in this field, as well as an effort to develop guidelines and normative data, in order to improve clinical practices.

Decision Support Needs for Patients with Severe Symptomatic Aortic Stenosis.

Social workers in healthcare settings often support patient decision-making processes for complex medical decisions. The objective of this study was to examine decision support needs for patients considering aortic valve replacement (AVR) for aortic stenosis. Seventeen qualitative interviews were conducted to explore treatment decision experiences of patients who accepted AVR. Analysis was conducted using a mixed inductive-deductive approach. Fear was a prevalent response for most participants in the face of AVR. Two general paths of decision making emerged: an "active" information seeking approach, or a "passive" simplicity seeking approach. Patients with unique clinical presentations felt alienated by the decision-making process. Acknowledging fear while understanding different decision-making styles provide opportunities for social workers and other members of multidisciplinary teams to support complex patient decisions.

[Enlightenment of WHO guideline on institutionalizing health technology assessment mechanism for traditional Chinese medicine].

To promote the institutionalization of the health technology assessment(HTA) mechanism in various countries, World Health Organization(WHO) has published the Institutionalizing Health Technology Assessment Mechanisms: a How to Guide to introduce five steps of institutionalizing the HTA mechanism systematically, specifically, "establishing a mandate; establishing the legal framework; reviewing or establishing the legal framework; establishing institutional and governance arrangements; processes and evidence required for assessment and appraisal; and monitoring and evaluation". Traditional Chinese medicine(TCM) HTA can provide scientific information and decision-making evidence for decision-makers at all levels to select TCM health technology reasonably, and promote the high-quality development of the TCM healthcare system. However, TCM HTA is in its infancy, and it is imperative to carry out relevant work under the guidance of global standard documents to ensure standardization, transparency, and fairness. In light of the WHO guidance, this research group put forward the necessity and logical framework for the institutionalizing HTA mechanism of TCM, which is helpful to establish the institutionalizing HTA mechanism in line with national conditions and suitable for TCM, provide scientific guidance for the research of TCM HTA, and contribute to TCM healthcare decision-making.

Application of Terror Management Theory to End-Of-Life Care Decision-Making: A Narrative Literature Review.

Patients with serious illnesses often do not engage in discussions about end-of-life care decision-making, or do so reluctantly. These discussions can be useful in facilitating advance care planning and connecting patients to services such as palliative care that improve quality of life. Terror Management Theory, a social psychology theory stating that humans are motivated to resolve the discomfort surrounding their inevitable death, has been discussed in the psychology literature as an underlying basis of human decision-making and behavior. This paper explores how Terror Management Theory could be extended to seriously ill populations and applied to their healthcare decision-making processes and quality of care received.

Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures.

PURPOSE: Results of patient-reported outcome measures (PROMs) are increasingly used to inform healthcare decision-making. Research has shown that response shift can impact PROM results. As part of an international collaboration, our goal is to provide a framework regarding the implications of response shift at the level of patient care (micro), healthcare institute (meso), and healthcare policy (macro). METHODS: Empirical evidence of response shift that can influence patients' self-reported health and preferences provided the foundation for development of the framework. Measurement validity theory, hermeneutic philosophy, and micro-, meso-, and macro-level healthcare decision-making informed our theoretical analysis. RESULTS: At the micro-level, patients' self-reported health needs to be interpreted via dialogue with the clinician to avoid misinterpretation of PROM data due to response shift. It is also important to consider the potential impact of response shift on study results, when these are used to support decisions. At the meso-level, individual-level data should be examined for response shift before aggregating PROM data for decision-making related to quality improvement, performance monitoring, and accreditation. At the macro-level, critical reflection on the conceptualization of health is required to know whether response shift needs to be controlled for when PROM data are used to inform healthcare coverage. CONCLUSION: Given empirical evidence of response shift, there is a critical need for guidelines and knowledge translation to avoid potential misinterpretations of PROM results and consequential biases in decision-making. Our framework with guiding questions provides a structure for developing strategies to address potential impacts of response shift at micro-, meso-, and macro-levels.

Pilot approach to analyzing patient and citizen involvement in health technology assessment in four diverse low- and middle-income countries.

BACKGROUND: In low- and middle-income countries (LMICs) striving to achieve universal health coverage, the involvement of different stakeholders in formal or informal ways in health technology assessment (HTA) must be culturally and socially relevant and acceptable. Challenges may be different from those seen in high-income countries. In this article, we aimed to pilot a questionnaire for uncovering the context-related aspects of patient and citizen involvement (PCI) in LMICs, collecting experiences encountered with PCI, and identifying opportunities for patients and citizens toward contributing to local decision- and policy-making processes related to health technologies. METHODS: Through a collaborative, international multi-stakeholder initiative, a questionnaire was developed for describing each LMIC's healthcare system context and the emergence of opportunities for PCI relating to HTA. The questionnaire was piloted in the first set of countries (Brazil, Indonesia, Nigeria, and South Africa). RESULTS: The questionnaire was successfully applied across four diverse LMICs, which are at different stages of using HTA to inform decision making. Only in Brazil, formal ways of PCI have been defined. In the other countries, there is informal influence that is contingent upon the engagement level of patient and citizen advocacy groups (PCAGs), usually strongest in areas such as HIV/AIDS, TB, oncology, or rare diseases. CONCLUSIONS: The questionnaire can be used to analyze the options for patients and citizens to participate in HTA or healthcare decision making. It will be rolled out to more LMICs to describe the requirements and opportunities for PCI in the context of LMICs and to identify possible routes and methodologies for devising a more systematic and formalized PCI in LMICs.

Do Social Values and Institutional Context Shape the Use of Economic Evaluation in Reimbursement Decisions? An Empirical Analysis.

OBJECTIVES: To investigate whether the use of economic evaluation (EE) in healthcare decision making is influenced by the social values and institutional context in a given country. METHODS: We developed and tested a conceptual framework for the 36 Organisation for Economic Co-operation and Development (OECD) countries. The countries were divided into two groups based on the extent of their use of EE in drug reimbursement. The key social values were efficiency, equity, and personal responsibility, measured in an international survey. Countries were classified based on their institutional context in terms of their general welfare paradigm/type of healthcare system and the administrative tradition to which they belong. We performed correlation tests and ran path analysis regression models to test our hypotheses. RESULTS: EE high users included significantly more Beveridge-type systems (50% vs 31%) and fewer Bismarck-type (15% vs 56%). Napoleonic tradition countries seemed to reject personal responsibility in health (r = -0.511, P = .009), whereas Germanic tradition countries embraced it (r = 0.572, P = .003); Anglo-American tradition countries exhibited a significant association with efficiency (r = 0.444, P = .026), whereas Scandinavian tradition countries appeared to reject it as a criterion for rationing in healthcare (r = -0.454, P = .023). No significant direct association was found between social values and use of EE. CONCLUSION: Our exploratory analysis suggests that institutional context and, indirectly, social values may play a role in shaping the use of EE in healthcare decision making. Because of the differences among countries in terms of institutional context, which may in part be influenced by social values, it is unlikely that there will ever be a single, harmonious approach to the use of EE.

Women's healthcare decision-making capacity and HIV testing in sub-Saharan Africa: a multi-country analysis of demographic and health surveys.

BACKGROUND: Global commitment to stop Human Immunodeficiency Virus (HIV) and ensure access to HIV treatment calls for women empowerment, as these efforts play major roles in mother-to-child transmission. We examined the association between women's healthcare decision-making capacity and uptake of HIV testing in sub-Saharan Africa. METHODS: We used data from the current Demographic and Health Surveys (DHS) of 28 countries in sub-Saharan Africa, conducted between January 1, 2010 and December 31, 2018. At the descriptive level, we calculated the prevalence of HIV testing in each of the countries. This was followed by the distribution of HIV testing across the socio-demographic characteristics of women. Finally, we used binary logistic regression assess the likelihood of HIV testing uptake by women's health care decision-making capacity and socio-demographic characteristics. The results were presented as Crude Odds Ratios (COR) and Adjusted Odds Ratios (AOR) with their corresponding 95% confidence intervals signifying precision. Statistical significance was set at p-value < 0.05. RESULTS: We found that prevalence of HIV testing uptake in the 28 sub-Saharan African countries was 64.4%, with Congo DR having the least (20.2%) and the highest occurred in Rwanda (97.4%). Women who took healthcare decisions alone [COR = 3.183, CI = 2.880-3.519] or with their partners [COR = 2.577, CI = 2.335-2.844] were more likely to test for HIV, compared to those whose healthcare decisions were taken by others, and this persisted after controlling for significant covariates: [AOR = 1.507, CI = 1.321-1.720] and [AOR = 1.518, CI = 1.334-1.728] respectively. CONCLUSION: Sub-Saharan African countries intending to improve HIV testing need to incorporate women's healthcare decision-making capacity strategies. These strategies can include education and counselling. This is essential because our study indicates that the capacity of women to make healthcare decisions has an association with decision to test for their HIV status.

How Procurement Judges The Value of Medical Technologies: A Review of Healthcare Tenders.

OBJECTIVES: Procurement's important role in healthcare decision making has encouraged criticism and calls for greater collaboration with health technology assessment (HTA), and necessitates detailed analysis of how procurement approaches the decision task. METHODS: We reviewed tender documents that solicit medical technologies for patient care in Canada, focusing on request for proposal (RFP) tenders that assess quality and cost, supplemented by a census of all tender types. We extracted data to assess (i) use of group purchasing organizations (GPOs) as buyers, (ii) evaluation criteria and rubrics, and (iii) contract terms, as indicators of supplier type and market conditions. RESULTS: GPOs were dominant buyers for RFPs (54/97) and all tender types (120/226), and RFPs were the most common tender (92/226), with few price-only tenders (11/226). Evaluation criteria for quality were technical, including clinical or material specifications, as well as vendor experience and qualifications; "total cost" was frequently referenced (83/97), but inconsistently used. The most common (47/97) evaluative rubric was summed scores, or summed scores after excluding those below a mandatory minimum (22/97), with majority weight (64.1 percent, 62.9 percent) assigned to quality criteria. Where specified, expected contract lengths with successful suppliers were high (mean, 3.93 years; average renewal, 2.14 years), and most buyers (37/42) expected to award to a single supplier. CONCLUSIONS: Procurement's evaluative approach is distinctive. While aiming to go beyond price in the acquisition of most medical technologies, it adopts a narrow approach to assessing quality and costs, but also attends to factors little considered by HTA, suggesting opportunities for mutual lesson learning.

Mobile technology use and skills among individuals with fragile X syndrome: implications for healthcare decision making.

BACKGROUND: Little is known about how individuals with fragile X syndrome (FXS) and their families use technology in daily life and what skills individuals with FXS can perform when using mobile technologies. METHODS: Using a mixed-methods design, including an online survey of parents (n = 198) and a skills assessment of individuals with FXS (n = 6), we examined the experiences and abilities of individuals with FXS for engaging with mobile technology. RESULTS: Parents reported that individuals with FXS often used technology in their daily lives, with variations based on age of child, sex, autism status, depression, and overall ability. Parents frequently sought and shared FXS-related information online. Assessment data revealed that individuals with FXS demonstrated proficiency in interacting with technology. CONCLUSIONS: Mobile technology is a tool that can be used in FXS to build skills and increase independence rather than simply for recreational purposes. Implications for using mobile technology to enhance healthcare decision making are discussed.

Economic evaluations of health technologies in Dutch healthcare decision-making: a qualitative study of the current and potential use, barriers, and facilitators.

BACKGROUND: The use of economic evaluations in healthcare decision-making can potentially help decision-makers in allocating scarce resources as efficiently as possible. Over a decade ago, the use of such studies was found to be limited in Dutch healthcare decision-making, but their current use is unknown. Therefore, this study aimed to provide insight into the current and potential use of economic evaluations in Dutch healthcare decision-making and to identify barriers and facilitators to the use of such studies. METHODS: Interviews containing semi-structured and structured questions were conducted among Dutch healthcare decision-makers. Participants were purposefully selected and special efforts were made to include decision-makers working at the macro- (national), meso- (local/regional), and micro-level (patient setting). During the interviews, a topic list was used that was based on the research questions and a literature search, and was developed in consultation with the Dutch National Healthcare Institute. Responses to the semi-structured questions were analyzed using a constant comparative approach. As for the structured questions, participants' definitions of various economic evaluation concepts were scored as either being "correct" or "incorrect" by two researchers, and summary statistics were prepared. RESULTS: Sixteen healthcare decision-makers were interviewed and two health economists. Decision-makers' knowledge of economic evaluations was only modest, and their current use appeared to be limited. Nonetheless, decision-makers recognized the importance of economic evaluations and saw several opportunities for extending their use at the macro- and meso-level, but not at the micro-level. The disparity between the limited use and recognition of the importance of economic evaluations is likely due to the many barriers decision-makers experience preventing their use (e.g. lack of resources, lack of formal willingness-to-pay threshold). Possible facilitators for extending the use of economic evaluations include, amongst others, educating decision-makers and the general population about economic evaluations and presenting economic evaluation results in a clearer and more understandable way. CONCLUSIONS: This study demonstrated that the current use and impact of economic evaluations in Dutch healthcare decision-making is limited at best. Therefore, strategies are needed to overcome the barriers that currently prevent economic evaluations from being used extensively.

The use of a policy dialogue to facilitate evidence-informed policy development for improved access to care: the case of the Winnipeg Central Intake Service (WCIS).

BACKGROUND: Policy dialogues are critical for developing responsive, effective, sustainable, evidence-informed policy. Our multidisciplinary team, including researchers, physicians and senior decision-makers, comprehensively evaluated The Winnipeg Central Intake Service, a single-entry model in Winnipeg, Manitoba, to improve patient access to hip/knee replacement surgery. We used the evaluation findings to develop five evidence-informed policy directions to help improve access to scheduled clinical services across Manitoba. Using guiding principles of public participation processes, we hosted a policy roundtable meeting to engage stakeholders and use their input to refine the policy directions. Here, we report on the use and input of a policy roundtable meeting and its role in contributing to the development of evidence-informed policy. METHODS: Our evidence-informed policy directions focused on formal measurement/monitoring of quality, central intake as a preferred model for service delivery, provincial scope, transparent processes/performance indicators, and patient choice of provider. We held a policy roundtable meeting and used outcomes of facilitated discussions to refine these directions. Individuals from our team and six stakeholder groups across Manitoba participated (n = 44), including patients, family physicians, orthopaedic surgeons, surgical office assistants, Winnipeg Central Intake team, and administrators/managers. We developed evaluation forms to assess the meeting process, and collected decision-maker partners' perspectives on the value of the policy roundtable meeting and use of policy directions to improve access to scheduled clinical services after the meeting, and again 15 months later. We analyzed roundtable and evaluation data using thematic analysis to identify key themes. RESULTS: Four key findings emerged. First, participants supported all policy directions, with revisions and key implementation considerations identified. Second, participants felt the policy roundtable meeting achieved its purpose (to engage stakeholders, elicit feedback, refine policy directions). Third, our decision-maker partners' expectations of the policy roundtable meeting were exceeded; they re-affirmed its value and described the refined policy directions as foundational to establishing the vocabulary, vision and framework for improving access to scheduled clinical services in Manitoba. Finally, our adaptation of key design elements was conducive to discussion of issues surrounding access to care. CONCLUSIONS: Our policy roundtable process was an effective tool for acquiring broad input from stakeholders, refining policy directions and forming the necessary consensus starting points to move towards evidence-informed policy.