Improving access to and quality of maternal and infant healthcare are important leverage points to address worsening maternal and infant health disparities in the USA. This study evaluates the comprehensiveness of existing maternal and infant quality-of-care measures to identify aspects of quality that need greater attention in quality measurement.

We conducted a structured, team-based qualitative review of 88 maternal and infant health measures indexed by the National Quality Forum (NQF), the Agency for Healthcare Research and Quality (AHRQ), the Centers for Medicare and Medicaid Services (CMS), and the National Committee for Quality Assurance (NCQA). We assessed discrete elements relevant to meaningfulness, feasibility, and usability following AHRQ National Quality Strategy (NQS) criteria, with input from researcher, clinician, and citizen scientist investigators. Descriptive statistics on coded measures were calculated using SPSS.

The most common AHRQ NQS priorities addressed were mortality (60%) and safety (48%). Average scores across elements were 59% for feasibility, 61% for practice usability, and 31% for policy usability. Fewer measures addressed coordination, affordability, or patient engagement in the postpartum period. Only 23% of measures were endorsed by NQF, only 17% of measures had publicly available benchmarks, and only 14% had specifications updated in the year prior to review.

Findings from this study can inform the specification of a comprehensive, updated system for maternal and infant quality-of-care evaluation and can facilitate the development of new quality-of-care measures that address underrepresented maternal and infant health issues.

The stakeholder analysis approach has historically been top-down rather than collaborative with key partners. However, this approach poses challenges for key partner engagement and community-engaged research, which aims to incorporate key partners throughout the project. This study, conducted by the Community Engagement Network at a Midwest Academic Medical Center, seeks to examine the value of community-engaged research for diverse key partners to increase collaboration, strengthen partnerships, and enhance impact, ultimately driving key partner engagement.

The study involved semi-structured interviews with 38 key partners from diverse groups, including community members, community organizations, Practice-Based Research Network members, researchers, research administration, university administration, and potential funders. The interview guide, informed by an extensive literature review, assessed perceived value, barriers, and improvement strategies for community-engaged research, supplemented by value proposition statements.

The analysis revealed three main themes: 1) Fostering Community Buy-In: Authentic representation and inclusive partnerships were essential for trust and commitment; 2) Enhancing Communication and Dissemination: Effective communication strategies were vital for maintaining engagement and sharing research outcomes; and 3) Building Capacity and Ensuring Sustainability: Continuous learning and long-term investments were crucial for sustaining community-engaged research efforts.

This study underscores the value of incorporating key partners into stakeholder analyses to enhance collaboration, strengthen partnerships, and improve the impact of community-engaged research. The findings offer valuable insight for institutional transformation and implementation of effective stakeholder analyses and engagement tools, ultimately enhancing the effectiveness of research strategies and initiatives.

The roles and potential value of patient preference (PP) data in health technology assessment (HTA) remain to be fully realized despite an expanding literature and various efforts to establish their utility. This article reports lessons learned through a series of collaborative workshops with HTA representatives, organized by the Health Technology Assessment International’s Patient Preferences Project Subcommittee.

Five online workshops were conducted between June 2022 and June 2023, seeking to facilitate collaborative learning and reflection on ways that PP data can be integrated into HTA. Participants included nine HTA representatives from the United States, Canada, Australia, England, and the Netherlands. Workshops were recorded, transcribed, and thematically analyzed.

Despite appreciating the value of PP data, participants were ambivalent about their use in HTA. Some felt that they were already getting the information they needed from the cost-effectiveness analysis or existing patient involvement processes. Others thought that PP data would be very helpful at the initial and final stage of the decision-making process and, particularly, in the following cases: (a) when technology has important non-health benefits; (b) when the clinical and/or cost-effectiveness evidence is marginal; and (c) when treatment is indicated for a large and heterogeneous population. Issues related to the validity and reliability of PP studies were frequently raised, with preference heterogeneity at the core of these concerns.

Collaborating with HTA representatives in the “co-creation” of PP research can help address their concerns and facilitate mutual learning about how PP data can be used in HTA.

We conducted a scoping review of peer-reviewed literature to describe the nature and extent of reporting on the involvement of stakeholders in early-stage translational research.

We conducted two literature searches in six databases, screened records and full-text articles, and abstracted and analyzed data from included publications. The literature searches yielded unduplicated 2,894 records. After screening, 13 articles were included.

Our review of the literature yielded rare reports of engagement in early-stage translational research. Half of included articles reported on engagement with patients, clinicians, and researchers while fewer that one in three reported on engagement with policymakers, industry, and insurers. One in four reported engagement in the publication’s acknowledgments but not in the main text. More than half drew unmeasured conclusions about the outcomes of engagement.

Our definition of early-stage translation pointed to a specific set of peer-reviewed research; our findings indicate a reporting gap and not necessarily a gap in practice. By addressing four themes–developing a shared language, identifying frameworks and principles, creating a repository of resources, and establishing a research agenda, research leaders can develop new insights about how to engage communities in early-stage translational research.

Healthcare disinvestment requires multi-level decision-making, and early stakeholder engagement is essential to facilitate implementation and acceptance. This study aimed to explore the perceptions of Malaysian healthcare stakeholders to disinvestment initiatives as well as identify disinvestment activities in the country.

A cross-sectional online survey was conducted from February to March 2023 among Malaysian healthcare stakeholders involved in resource allocation and decision-making at various levels of governance. Response frequencies were analyzed descriptively and cross-tabulation was performed for specific questions to compare the responses of different groups of stakeholders. For free-text replies, content analysis was used with each verbatim response examined and assigned a theme.

A total of 153 complete responses were analyzed and approximately 37 percent of participants had prior involvement in disinvestment initiatives. Clinical effectiveness and cost-effectiveness ranked as the most important criteria in assessment for disinvestment. Surprisingly, equity was rated the lowest priority despite its crucial role in healthcare decision-making. Almost 90 percent of the respondents concurred that a formal disinvestment framework is necessary and the importance of training for the program’s successful implementation. Key obstacles to the adoption of disinvestment include insufficient stakeholder support and political will as well as a lack of expertise in executing the process.

While disinvestment is perceived as a priority for efficient resource allocation in Malaysian healthcare, there is a lack of a systematic framework for its implementation. Future research should prioritize methodological analysis in healthcare disinvestment and strategies for integrating equity considerations in evaluating disinvestment candidates.