Shared Plan Research Articles

From Policy to Practice: Data Sharing Challenges and Opportunities for Mixed Methods Research in the Era of U.S. Open Science Initiatives

The “Year of Open Science” initiative, spearheaded by the White House in 2023, catalyzed the adoption of national open science policies across U.S. Federal Government agencies, but open science is an international movement. This paper elucidates the evolving landscape of open science policies, particularly focusing on the Data Management and Sharing Plans by agencies like NIH, NSF, and CDC. While quantitative research (and qualitative research to some degree) has received considerable attention in data sharing, this paper highlights the underexplored terrain of mixed methods research. Through detailed analysis and examples, it advocates for tailored guidelines and collaborative efforts to bridge the gap in data sharing practices, emphasizing the unique challenges and opportunities inherent in mixed methods research.

Early versus late-onset of weight struggles among patients with obesity: Data from the ACTION-IO study

ABSTRACT Background and Aim: The prevalence of obesity is increasing and people with obesity (PwO) continue to struggle with their weight. We aimed to describe the experiences of people who struggled with their weight at an early age (EAO) or at a later age (LAO), their discussions with their healthcare practitioners (HCPs) and episodes of depression and anxiety. Methods: We gathered information from 1,000 adults PwO, categorized them into EAO and LAO and analyzed their responses regarding weight loss attempts, discussions with their HCP, perceptions about obesity and episodes of depression/anxiety. Results: Mean age was 36.6 years old, and 73.0% were AAO. EAO had significantly fewer weight loss attempts and had fewer interactions with their HCP. EAO reported less HCP support for weight management, were less motivated to lose weight, and experienced more episodes of anxiety/depression. Significant association between greater obesity class with longer duration of weight problems, and depression and anxiety. EAO PwOs were less likely to discuss weight problems with their HCP. Conclusion: It is fundamental that HCPs recognize and address weight issues in PwO who are at risk of obesity in adulthood as early as adolescence. They should also take the lead in addressing these psychophysiological concerns by involving the parents in the decision-making process and facilitating shared planning. These may enhance their motivation to lose weight, boost self-confidence, and reduce the complications of obesity.

AADMM based shared energy storage planning for resilience improvement of renewable energy stations

The exponential proliferation of renewable energy has resulted in a significant mismatch between power supply and demand, especially during extreme events. This incongruity presents challenges in efficiently harnessing renewable energy and enhancing the resilience of the power grid. To address this issue, this paper proposes shared energy storage (SES) planning based on the adaptive alternating direction method of multipliers (AADMM). The objective is to fully leverage SES, enhance the local consumption level of renewable energy, ensure power grid resilience, and reduce operational costs. First, to ensure the effective utilization of SES while minimizing initial investment and construction costs, a planning model for SES is formulated. Secondly, to maximize the benefits for multiple prosumers within the renewable energy and SES station, a profit maximization model for multiple prosumers is established. Lastly, to guarantee the privacy security of SES and multi-prosumers while optimizing computational efficiency, a distributed computing model for SES based on AADMM is developed. The results of the example show that the proposed model can not only reduce the cost of 47.96 CNY, but also increase the power self-sufficiency rate by 21.86%. In addition, compared with the traditional distributed optimization, the number of iterations of AADMM is increased by 47.05%, and the computational efficiency is increased by 54.67%. In addition, market prices have a great impact on energy trading, and the impact of market pricing on the operation of the park is not considered in our current research. In this case, our future research aims to consider how to price reasonably between prosumers and between prosumers and SES, so as to realize the stable participation of each subject in the energy market.

Integrated care models for youth mental health: A systematic review and meta-analysis.

To evaluate the effectiveness of integrated models of mental healthcare in enhancing clinical outcomes, quality of life, satisfaction with care and health service delivery outcomes in young people aged 12-25 years. A secondary objective was to identify common components of integrated mental health interventions. A systematic review and meta-analysis of studies published 2001-2023 that assessed clinical or health service use outcomes of integrated care, relative to treatment as usual, for any mental health condition in 12-25 years old accessing community-based care. Of 11,444 titles identified, 15 studies met inclusion criteria and 6 studies were entered in the meta-analysis. Pooled effect size found integrated care was associated with a greater reduction in depressive symptoms relative to treatment as usual at 4-6 months (standardised mean difference = -0.260, 95% confidence interval = [-0.39, -0.13], p = 0.001). Of the seven studies reporting access or engagement, all reported higher rates of both in the intervention arm. The most frequent components of integration were use of a multidisciplinary team (13/15 studies), shared treatment planning (11/15) and workforce training in the model (14/15). Integrated models of mental healthcare are associated with a small, but significant, increase in effectiveness for depressive symptoms relative to treatment as usual. Given integrated care may increase access and engagement, future research should focus on assessing the impact of integrated care in a wider range of settings and outcomes, including clinical and functional recovery, satisfaction with care and system-level outcomes such as cost-effectiveness.

Shared planning in the norm-project combination

The regulations viewed as a system of recognised and agreed values must take into consideration the complexity of the relationship between humankind and the environment. This presents an ethical problem with regards to the collective moral conduct during the design of the project and the definition of adequate methodologies to support this dimension. The participatory formulae pursue this possibility but with solutions that are partially ineffective due to the asymmetry between the knowledge of the expert and of the non-expert, and the different resources available to institutional and non-institutional actors. The analysis of the regulations and a case study identifies certain critical issues and possible solutions to resolve them, which involve the role of the design architect in society.

Business Planning and Organizational Profitability: A Study of PPMC Approach

The purpose of the study was to examine business planning and organizational profitability. A study of selected organizations in Cross River State, Nigeria. The objectives were to determine the relationship between marketing plan and company turnover rate, to determine the relationship between financial plan and company market share and to determine the relationship between personal plan and quality of product. Desk survey method was used in gathering relevant information on Business corporate planning and organizational profitability. The study adopted Pearson Product Moment Correlation Statistical tool to examine the relationship between independent and dependent variables. Based on the analysis, the findings revealed that marketing plan had a significant relationship with company turnover rate, financial plan had a significant relationship with company market share and personal plan had a significant relationship with quality of product. The study recommended that policies should be disseminated down the line of management. There is an urgent need for all corporate management units to develop a policy that will be non-ambiguous, set out clear targets with well-defined objectives.

Shared e-bike operational planning under different relocation schemes: A smart campus case

Major urban centers are grappling with challenges related to urban mobility and elevated greenhouse gas emissions. Shared electric bicycles (e-bikes) present a potential solution to these issues. Nonetheless, many ventures of this nature have previously faltered due to high operational costs. This paper aims to assess the optimal decisions for a shared e-bike company serving a university community. To this end, we consider two relocation strategies: one led by the operator and another by the user. Additionally, we examine elements inherent to a smart campus, such as photovoltaic systems and advanced energy tariffs, like time-of-use and real-time tariffs. We modeled the optimization problem as a mixed-integer nonlinear program, further linearized to a mixed-integer linear program using the Big-M method. Our case study focuses on the academic community at Universidade Federal Fluminense in Niterói, Brazil. Findings suggest a trade-off between operator and user relocation tariffs. They also underscore an enhancement in meeting demand, from 51 % to 69 %, when both mechanisms are employed. Lastly, the smart campus influences the operator's decisions, highlighting the importance of considering the interplay between energy and rental tariffs during planning.

Cash versus Share Payouts in Relative Performance Plans

ABSTRACT This study examines the risk taking properties associated with incentive plans that use relative performance evaluation, with a focus on the form of payout, whether in cash or shares. By analyzing determinants and consequences of payout form choice, I find that share-based plans offer risk-averse managers weaker incentives to pursue projects with idiosyncratic risk compared with cash plans. This occurs because share plans—unlike cash plans—expose managers to systematic performance trends, as payout values are linked to stock prices. Additionally, I document that the variation in risk taking incentives depends on expected relative performance and the strength of the incentives. Overall, this study’s findings suggest that commonly used share-based relative performance plans might not always motivate managers to pursue innovative projects with high idiosyncratic risk when projects with systematic risk are available. Data Availability: All data are available from the sources identified in the text. JEL Classifications: G30; J33; J41; M12; M41.

The DMPTool NIH DMSP Templates Project.

The DMPTool NIH Data Management and Sharing Plan (DMSP) Templates Project was launched in response to the 2023 NIH Data Management and Sharing (DMS) Policy. This new policy introduced a more structured framework for DMS Plans, featuring six key elements, a departure from the 2003 NIH DMS policy. The project aimed to simplify the process for data librarians, research administrators, and researchers by providing a template with curated guidance, eliminating the need to navigate various policies and guidelines. The template breaks out each Plan section and subsection and provides related guidance and examples at the point of need. This effort has resulted in two NIH DMSP Templates. The first is a generic template (NIH-Default) for all ICs, complying with NOT-OD-21-013 and NOT-OD-22-198. More recently, an NIMH-specific template (NIH-NIMH) was added based on NOT-MH-23-100. As of October 2023, over 5,000 DMS Plans have been written using the main NIH-Default template and the NIH-NIMH alternative template.

Data Management Sharing Plan: Fostering Effective Trans-Disciplinary Communication in Collaborative Research

Data Management Sharing Plan: Fostering Effective Trans-Disciplinary Communication in Collaborative Research

Improving patient outcomes while reducing readmissions with data analytics

As post-acute care spend continues to rise and the Centers for Medicare and Medicaid Services (CMS) moves forward with promoting both value-based and risk-bearing models of care, it is essential for accountable care organisations (ACOs), payers and hospital providers to take proactive measures to find innovative and data-driven strategies to meet the future demands of healthcare. Yet disparate electronic health record (EHR) systems between acute and post-acute providers continue to pose challenges in the ability to access live patient data across care settings, which enables clinical line of sight to manage both patient and population-level quality outcomes. Utilisation of an EHR-agnostic platform, which mitigates interoperability issues, can improve care transitions, provide data analytics to manage the patient care journey, foster seamless implementation of standardised care pathways and ultimately reduce total costs within post-acute networks by decreasing readmissions and length of stay. St. Joseph’s Health implemented such a data analytics platform and instituted a post-acute nurse navigator, social worker and care manager roles to manage their value-based patients in the postacute setting. As a result, their Medicare Shared Savings Plan ACO, Mission Health Coordinated Care, achieved a significant reduction in readmissions from 24 per cent to 17.8 per cent, as well as a total cost of care savings of US$1.6m in its first year. Currently, the readmission rate is down to 13.6 per cent, and there has also been a 3.2-day reduction in average length of stay. Owing to their successful post-acute strategy and programming, the project was scaled to include all patients in value-based contracts.

Using Quality Improvement as a Mechanism for Fostering Partnerships and Promoting Equity in a Health System Change Model.

Quality improvement (QI) processes provide a framework for systematically examining target outcomes and what changes can be made to result in improvement and ensure equity. We present a case study of how QI processes were used as a means of partnership building to enhance equity in designing materials for a Medicaid pilot program, North Carolina Integrated Care for Kids (NC InCK). The NC InCK model addresses social determinants of health by providing structured care integration across core child health and social service areas and using an alternative payment model to incentivize high quality child outcomes. During the two-year planning period prior to the NC InCK model launch, we used Plan-Do-Study-Act (PDSA) cycles to conduct usability testing as a QI strategy for a component of the NC InCK model: the Shared Action Plan (SAP). We conducted usability testing with four Family Council members, nine care managers, and one physician. Participants reviewed the SAP and provided feedback via a survey. After reviewing feedback with InCK leadership and the Family Council, we implemented recommendations that led to a SAP that uses clear and accessible language, that highlights family strengths and family-identified goals, and that is distinct from other care management plans. Usability testing forced refinement of materials before NC InCK launched, created opportunities for building and enhancing community partnerships and promoted equity within the NC InCK team and Family Council by considering multiple perspectives when deciding on SAP revisions.

Inferring the Goals of Communicating Agents from Actions and Instructions

When humans cooperate, they frequently coordinate their activity through both verbal communication and non-verbal actions, using this information to infer a shared goal and plan. How can we model this inferential ability? In this paper, we introduce a model of a cooperative team where one agent, the principal, may communicate natural language instructions about their shared plan to another agent, the assistant, using GPT-3 as a likelihood function for instruction utterances. We then show how a third person observer can infer the team’s goal via multi-modal Bayesian inverse planning from actions and instructions, computing the posterior distribution over goals under the assumption that agents will act and communicate rationally to achieve them. We evaluate this approach by comparing it with human goal inferences in a multi-agent gridworld, finding that our model’s inferences closely correlate with human judgments (R = 0.96). When compared to inference from actions alone, we find that instructions lead to more rapid and less uncertain goal inference, highlighting the importance of verbal communication for cooperative agents.

Assessing the Connection between Land Use Planning, Water Resources, and Global Climate Change

The complex interplay between land use planning, water resource management, and the effects of global climate change continues to attract global attention. This study assessed the connection between land use planning, water resources, and global climate change. Data were collected using an online questionnaire that was emailed to 320 professionals in the land and environmental sectors in Greece and Europe. The results showed a significant relationship between land use planning, water resources, and their policies with global climate change. It was also revealed that proper land use planning can guide the establishment of waste management systems that minimize methane emissions, and that land use planning influences agricultural practices, which, in turn, impact greenhouse gas emissions. It was also revealed that changes in precipitation patterns can lead to an increased frequency and severity of droughts, and that changes in water temperature and flow can lead to habitat loss. This study also confirmed that strong policy support helps in the conservation of land and water resources, and stakeholder engagement promotes a shared planning process, leading to commonly agreed-upon spatial measures. This study recommends that governments and policymakers should integrate climate change, land use, and water management policies to ensure a coherent and effective approach towards sustainable development.

An Environmental Participatory Governance (EPG) Model for the Ecological Transition: The Case of the Basilicata Region

In the current poly-crisis scenario, in which we face the lasting impacts of the COVID-19 pandemic and unstable geopolitical conditions, a just ecological transition increasingly plays a pivotal role in determining our visions for the future. Communities must be adequately prepared and made protagonists in order to ethically orient and support this transition. This article shows an experience from the Basilicata region (southern Italy) that is intended to engage the community in the just ecological transition process. To that end, an Environmental Participatory Governance model was implemented, exploiting both the synod of the churches for existing community networks and scientific expertise to support multi-actor knowledge integration and learning. The developed model allowed us to obtain an in-depth knowledge of the main players who carry out environmental education, the strengths and weaknesses of their environmental strategies, and the synergy among them. Bottom–up outcomes, in terms of perceived environmental risks and suggested priority actions, represent a challenge for stakeholders, but confronting these has led to significant alignment of visions for the implementation of a shared action plan. The most significant result of this work is the learnings concerning the implementation of a participatory experience, which should be replicable at different scales and for any environmental problem. Such an experience allows for the possibility of forming consolidated networks, which make environmental governance more effective at the regional level.

Data Management Sharing Plan: Fostering Effective Trans-Disciplinary Communication in Collaborative Research

This paper scrutinizes the integral role of Trans-Disciplinary Communication (TDC) in conceptualizing and implementing Data Management and Sharing (DMS) plans in alignment with federal guidelines such as those from NIH and NSF. We begin by dissecting existing federal mandates for research data management, elucidating their pivotal role in maintaining data integrity and enabling accessibility. Using a case study as our methodological approach, we exemplify how TDC can effectively enhance the dialogue and practices surrounding DMS plans, fulfilling the requirements imposed by funding organizations. Furthermore, this research offers a novel contribution to the ongoing discourse by highlighting how DMS plans are foundational in promoting effective TDC and, by extension, advancing discussions in areas like Diversity Equity and Inclusion (DEI), STEM Education, and Collaboration.

Brad Warren and Devin Savage Share Plans for ACRL

Brad Warren and Devin Savage Share Plans for ACRL

How do I roll out a digital collaboration tool?

In 2023, the Flemish government will start developing a digital care and support plan. With this shared support plan, we want care providers, informal caregivers and citizens to collaborate digitally in a goal-oriented care plan. 
 The digital care and support plan is being built by an external IT partner in co-creation with stakeholders and citizens. In a first test version, 5 modules are offered: 
 * Communication 
 * Life goals 
 * Care and support goals 
 * Care and support tasks 
 * Care team 
 After a test phase at the end of 2023 this digital collaboration tool will be rolled out across Flanders in two pilot projects. 
 The rollout will be planned on 3 axes (possibly in parallel): 
 * geographical extension: step by step connecting a number of new zones
 * multidisciplinary expansion: integrate new sectors step by step 
 * substantive expansion: develop additional modules 
 In this workshop we will bring policy makers and network organizations from different regions together to share best practices. 
 * What good practices are available? 
 * What is needed to successfully address the 3 axes? 
 * What are the pros and cons of expanding on any of the 3 axes? 
 * What is the impact of each extension on the success of the full rollout? 
 * What is the impact on support and adoption in the field? 
 This session primarily aims to share experiences and bring together knowledge. 
 
 
 The workshop will be composed of: 
 * 15 minutes introduction and context 
 * 3 x 10 minutes working around 3 different axes and their impact (sharing experiences and good practices). Naming pros and cons of each axis. 
 * 15 minutes: Distill best approach per group - what order, possibly parallel rollout is preferable? 
 * 15 minutes: combine results into a global best practice

A Problem Shared Is a Community Created: Recommendations for Cross-Institutional Collaborations.

Committee work is a requisite job function for many in academia, yet designing a productive collaborative experience often remains a challenge. In this article, we reflect on our experiences as part of a successful cross-institutional working group and describe strategies to improve leadership structure, group dynamics, accountability, and incentives for collaborative projects. As of January 2023, the National Institutes of Health (NIH) Data Management & Sharing (DMS) Policy requires investigators applying for funding to submit a Data Management and Sharing Plan (DMS Plan) that describes how scientific data will be managed, preserved, and shared. In response to this new policy, a community of more than 30 librarians and other research data professionals convened the Working Group on NIH DMSP Guidance, collaboratively producing comprehensive guidance about the policy for researchers and research support staff. In less than a year, the working group produced glossaries of NIH and data management jargon, an example data management and sharing plan, a directory of existing example plans, checklists for researchers and librarians, and an interactive repository finder. This group was a successful grassroots effort by contributors with diverse expertise and backgrounds. We discuss practical strategies for each stage of activity throughout the lifecycle of the working group; from recruiting members, designing pathways to encourage participation from busy professionals, structuring the meetings to facilitate progress and productivity, and disseminating final products broadly. We invite fellow librarians, data professionals, and academics to apply and build upon these strategies to tackle cross-institutional challenges.

Balancing care and responsibility: The role of the general practitioner in specialist referrals.

Referrals are a critical component of the Australian healthcare system, with referrals from general practitioners (GPs) to non-GP specialists making up the majority of medical referrals. Given the key role referrals have in primary healthcare, it is important that GPs understand their legal and professional responsibilities when providing a referral and ensure they refer appropriately and effectively to provide the best healthoutcomes for patients. This article explores GP referrals to other health professionals and aims to describe a doctor's medicolegal obligations and responsibilities when making a referral. The responsibility of GPs in the referral process reflects their central coordinating role as providers of primary care, and the reliance patients place upon them to adviseand recommend treatment and investigations. Understanding the medicolegal obligations and responsibilities when writing a referral can help GPs find the right balance between respecting patient autonomy and the professional obligation to take reasonable steps to ensure referrals and investigations are acted upon appropriately. The key to an effective referral process is clear communication between practitioners and patients, to help align the expectations of all involved so they can agree and implement a shared treatment plan in the interests of the patient.