Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models.

OBJECTIVE: Despite increased availability of methodologies to identify algorithmic bias, the operationalization of bias evaluation for healthcare predictive models is still limited. Therefore, this study proposes a process for bias evaluation through an empirical assessment of common hospital readmission models. The process includes selecting bias measures, interpretation, determining disparity impact and potential mitigations. METHODS: This retrospective analysis evaluated racial bias of four common models predicting 30-day unplanned readmission (i.e., LACE Index, HOSPITAL Score, and the CMS readmission measure applied as is and retrained). The models were assessed using 2.4 million adult inpatient discharges in Maryland from 2016 to 2019. Fairness metrics that are model-agnostic, easy to compute, and interpretable were implemented and apprised to select the most appropriate bias measures. The impact of changing model's risk thresholds on these measures was further assessed to guide the selection of optimal thresholds to control and mitigate bias. RESULTS: Four bias measures were selected for the predictive task: zero-one-loss difference, false negative rate (FNR) parity, false positive rate (FPR) parity, and generalized entropy index. Based on these measures, the HOSPITAL score and the retrained CMS measure demonstrated the lowest racial bias. White patients showed a higher FNR while Black patients resulted in a higher FPR and zero-one-loss. As the models' risk threshold changed, trade-offs between models' fairness and overall performance were observed, and the assessment showed all models' default thresholds were reasonable for balancing accuracy and bias. CONCLUSIONS: This study proposes an Applied Framework to Assess Fairness of Predictive Models (AFAFPM) and demonstrates the process using 30-day hospital readmission model as the example. It suggests the feasibility of applying algorithmic bias assessment to determine optimized risk thresholds so that predictive models can be used more equitably and accurately. It is evident that a combination of qualitative and quantitative methods and a multidisciplinary team are necessary to identify, understand and respond to algorithm bias in real-world healthcare settings. Users should also apply multiple bias measures to ensure a more comprehensive, tailored, and balanced view. The results of bias measures, however, must be interpreted with caution and consider the larger operational, clinical, and policy context.

New horizons in frailty identification via electronic frailty indices: early implementation lessons from experiences in England and the United States.

Frailty represents an integrative prognostic marker of risk that associates with a myriad of age-related adverse outcomes in older adults. As a concept, frailty can help to target scarce resources and identify subgroups of vulnerable older adults that may benefit from interventions or changes in medical management, such as pursing less aggressive glycaemic targets for frail older adults with diabetes. In practice, however, there are several operational challenges to implementing frailty screening outside the confines of geriatric medicine. Electronic frailty indices (eFIs) based on the theory of deficit accumulation, derived from routine data housed in the electronic health record, have emerged as a rapid, feasible and valid approach to screen for frailty at scale. The goal of this paper is to describe the early experience of three diverse groups in developing, implementing and adopting eFIs (The English National Health Service, US Department of Veterans Affairs and Atrium Health-Wake Forest Baptist). These groups span different countries and organisational complexity, using eFIs for both research and clinical care, and represent different levels of progress with clinical implementation. Using an implementation science framework, we describe common elements of successful implementation in these settings and set an agenda for future research and expansion of eFI-informed initiatives.

Assembling a population health management maturity index using a Delphi method.

BACKGROUND: Although local initiatives commonly express a wish to improve population health and wellbeing using a population health management (PHM) approach, implementation is challenging and existing tools have either a narrow focus or lack transparency. This has created demand for practice-oriented guidance concerning the introduction and requirements of PHM. METHODS: Existing knowledge from scientific literature was combined with expert opinion obtained using an adjusted RAND UCLA appropriateness method, which consisted of six Dutch panels in three Delphi rounds, followed by two rounds of validation by an international panel. RESULTS: The Dutch panels identified 36 items relevant to PHM, in addition to the 97 items across six elements of PHM derived from scientific literature. Of these 133 items, 101 were considered important and 32 ambiguous. The international panel awarded similar scores for 128 of 133 items, with only 5 items remaining unvalidated. Combining literature and expert opinion gave extra weight and validity to the items. DISCUSSION: In developing a maturity index to help assess the use and progress of PHM in health regions, input from experts counterbalanced a previous skewedness of item distribution across the PHM elements and the Rainbow Model of Integrated Care (RMIC). Participant expertise also improved our understanding of successful PHM implementation, as well as how the six PHM elements are best constituted in a first iteration of a maturity index. Limitations included the number of participants in some panels and ambiguity of language. Further development should focus on item clarity, adoption in practice and item interconnectedness. CONCLUSION: By employing scientific literature enriched with expert opinion, this study provides new insight for both science and practice concerning the composition of PHM elements that influence PHM implementation. This will help guide practices in their quest to implement PHM.

Moving from Principle to Practice: A Researcher's Guide to Co-Leading Engaged Research with Community Partners and Patients with Lived Experience to Reduce Maternal Mortality and Morbidity for Maternal Sepsis.

OBJECTIVES: Maternal mortality and morbidity disproportionately affect birthing people from racialized populations. Unfortunately, researchers can often compound these poor outcomes through a lack of authentic community engagement in research beyond the role of the research subject, leading to ineffective strategies for improving care and increasing equity. This article details the real-life strategies utilized to develop a community-engaged research project of a phased federally funded grant employing community engagement principles of co-leadership and co-creation. It also includes reflections from the researchers and advisory board on promising practices and lessons learned for equitably engaging patients and community partners in research. METHODS: This article details the application of principles of community-engaged research in a federally funded phased research project focused on understanding disparities in maternal sepsis to develop better clinical and community interventions. Specifically, it discusses early steps in the research partnership to create a sustainable partnership with a Community Leadership Board guided by the principles of transparency, respect, compensation, and increasing research justice. RESULTS: Based on the authors' experience, recommendations are provided for funders, researchers, and institutions to improve the quality and outcomes of communityengaged research. This work adds to community-based participatory and community-engaged research literature by providing concrete and practical steps for equitably engaging in research partnerships with a variety of collaborators. CONCLUSIONS: In conclusion, integrated patient and community co-leadership enhances research by providing insight, access to communities for education and dissemination of information, and identifying critical areas needing change. This report may help others address fundamental principles in this journey.

Public health surveillance and the data, information, knowledge, intelligence and wisdom paradigm.

This article points out deficiencies in present-day definitions of public health surveillance, which include data collection, analysis, interpretation and dissemination, but not public health action. Controlling a public health problem of concern requires a public health response that goes beyond information dissemination. It is undesirable to have public health divided into data generation processes (public health surveillance) and data use processes (public health response), managed by two separate groups (surveillance experts and policy-makers). It is time to rethink the need to modernize the definition of public health surveillance, inspired by the authors' enhanced Data, Information, Knowledge, Intelligence and Wisdom model. Our recommendations include expanding the scope of public health surveillance beyond information dissemination to comprise actionable knowledge (intelligence); mandating surveillance experts to assist policy-makers in making evidence-informed decisions; encouraging surveillance experts to become policy-makers; and incorporating public health literacy training - from data to knowledge to wisdom - into the curricula for all public health professionals. Work on modernizing the scope and definition of public health surveillance will be a good starting point.

En este artículo se señalan las deficiencias de las definiciones actuales de la vigilancia de salud pública, que incluyen la recopilación, el análisis, la interpretación y la difusión de los datos, pero no las medidas de salud pública. El control de un problema de salud pública de interés exige una respuesta de salud pública que vaya más allá de la difusión de información. No es deseable que la salud pública esté dividida por un lado en procesos de generación de datos (vigilancia de salud pública) y por otro en procesos de uso de datos (respuesta de salud pública), gestionados por dos grupos diferentes (expertos en vigilancia y responsables de la formulación de políticas). Ha llegado el momento de replantear la necesidad de modernizar la definición de la vigilancia de salud pública tomando como referencia el modelo mejorado de Datos, Información, Conocimiento, Inteligencia y Sabiduría de los autores. Entre las recomendaciones que se proponen se encuentran las de ampliar el alcance de la vigilancia de salud pública más allá de la difusión de información para que incluya también el conocimiento aplicable (inteligencia); instar a los expertos en vigilancia a que presten ayuda a los responsables de la formulación de políticas en la toma de decisiones basadas en la evidencia; alentar a los expertos en vigilancia a que se conviertan en responsables de la formulación de políticas; e incorporar la formación en conocimientos básicos de salud pública (desde los datos hasta los conocimientos y la sabiduría) en los planes de estudio de todos los profesionales de la salud pública. Un buen punto de partida será trabajar en la modernización del alcance y la definición de la vigilancia de salud pública.

Este artigo aponta deficiências nas definições atuais de vigilância em saúde pública, que incluem coleta, análise, interpretação e disseminação de dados, mas não ações de saúde pública. O controle de um problema preocupante de saúde pública exige uma resposta de saúde pública que vá além da disseminação de informações. A saúde pública não deve ser dividida em processos de geração de dados (vigilância em saúde pública) e processos de uso de dados (resposta de saúde pública) gerenciados por dois grupos distintos (especialistas em vigilância e formuladores de políticas). É hora de repensar a necessidade de modernizar a definição de vigilância em saúde pública, inspirada no modelo aprimorado de Dados, Informações, Conhecimento, Inteligência e Sabedoria dos autores. Nossas recomendações incluem: expansão do escopo da vigilância em saúde pública para além da disseminação de informações, de modo a abranger conhecimentos acionáveis (inteligência); obrigatoriedade de que os especialistas em vigilância auxiliem os formuladores de políticas na tomada de decisões baseadas em evidências; incentivo para que os especialistas em vigilância se tornem formuladores de políticas; e incorporação de capacitação em letramento em saúde pública (partindo dos dados para o conhecimento e em seguida para a sabedoria) nos currículos de todos os profissionais de saúde pública. O trabalho de modernizar o escopo e a definição de vigilância em saúde pública será um bom ponto de partida.

Polysocial Risk Scores: Implications for Cardiovascular Disease Risk Assessment and Management.

PURPOSE OF REVIEW: To review current evidence, discuss key knowledge gaps and identify opportunities for development, validation and application of polysocial risk scores (pSRS) for cardiovascular disease (CVD) risk prediction and population cardiovascular health management. RECENT FINDINGS: Limited existing evidence suggests that pSRS are promising tools to capture cumulative social determinants of health (SDOH) burden and improve CVD risk prediction beyond traditional risk factors. However, available tools lack generalizability, are cross-sectional in nature or do not assess social risk holistically across SDOH domains. Available SDOH and clinical risk factor data in large population-based databases are under-utilized for pSRS development. Recent advances in machine learning and artificial intelligence present unprecedented opportunities for SDOH integration and assessment in real-world data, with implications for pSRS development and validation for both clinical and healthcare utilization outcomes. pSRS presents unique opportunities to potentially improve traditional "clinical" models of CVD risk prediction. Future efforts should focus on fully utilizing available SDOH data in large epidemiological databases, testing pSRS efficacy in diverse population subgroups, and integrating pSRS into real-world clinical decision support systems to inform clinical care and advance cardiovascular health equity.

Practical dietary interventions to prevent cardiovascular disease suitable for implementation in primary care: an ADAPTE-guided systematic review of international clinical guidelines.

PURPOSE: Cardiovascular diseases (CVD) are the leading cause of death globally. The current model of care for high-income countries involves preventive medication and highly trained healthcare professionals, which is expensive and not transposable to low-income countries. An innovative, effective approach adapted to limited human, technical, and financial resources is required. Measures to reduce CVD risk factors, including diet, are proven to be effective. The survey "Scaling-up Packages of Interventions for Cardiovascular disease prevention in selected sites in Europe and Sub-Saharan Africa" aims to develop non-pharmacological cardiovascular prevention and control programs in primary care and community settings in high, middle, and low-income countries. This review aims to identify the existing, validated dietary interventions for primary CVD prevention from national and international clinical guidelines that can be implemented in primary care and communities. METHODS: A systematic review of CVD prevention guidelines was conducted between September 2017 and March 2023 using the Turning Research Into Practice medical database, the Guidelines International Network, and a purposive search. The ADAPTE procedure was followed. Two researchers independently conducted the searches and appraisals. Guidelines published after 01/01/2012 addressing non-pharmacological, dietary interventions for primary CVD prevention or CVD risk factor management, in the adult general population in primary care or in community settings were included and appraised using the Appraisal of Guidelines Research and Evaluation II score. Individual dietary recommendations and the studies supporting them were extracted. Then supporting data about each specific dietary intervention were extracted into a matrix. RESULTS: In total, 1375 guidelines were identified, of which 39 were included. From these, 383 recommendations, covering 10 CVD prevention themes were identified. From these recommendations, 165 studies for effective dietary interventions for CVD prevention were found. Among these, the DASH diet was the most effective on multiple CVD risk factors. Combining diet with other interventions such as exercise and smoking cessation increased efficacy. No guidelines provided detailed implementation strategies. CONCLUSION: The DASH diet combined with other interventions was the most effective on an individual basis. However, expansion in the wider population seems difficult, without government support to implement regulations such as reducing salt content in processed food. TRIAL REGISTRATION: Clinical Trials NCT03886064.

Heart disease is the leading cause of death around the world. Strategies to prevent heart disease in high-income countries rely on medications and the skills of highly trained healthcare professionals. However, this is expensive and unsuitable for low-income countries. Consequently, an innovative, effective approach, which can be adapted to countries with limited human, technical and financial resources is needed. A program called SPICES was developed to identify strategies other than medication to prevent and control heart disease. This program reviewed the evidence for smoking cessation, physical activity, and dietary strategies, which may be useful to prevent heart disease in communities with limited resources.In this review, the investigators searched online databases to find clinical guidelines that recommended dietary strategies to manage heart disease worldwide. The information found from this search revealed that the DASH diet, inspired by the Mediterranean diet, helps with weight loss, and improves blood pressure and cholesterol levels making it the most effective diet for preventing heart disease. It is even more effective if it is combined with other strategies such as exercise, stopping smoking or reducing the amount of alcohol consumed. However, this works well for individuals but is difficult to expand to the wider population. Therefore, government support is needed to implement regulations such as reducing salt content in processed food.

The Societal Impact of Inclisiran in England: Evidence From a Population Health Approach.

OBJECTIVES: As first-in-class cholesterol-lowering small interfering ribonucleic acid, inclisiran provides effective reductions in low-density lipoprotein-cholesterol to achieve better cardiovascular (CV) health. We estimate the health and socioeconomic effects of introducing inclisiran according to a population health agreement in England. METHODS: Building on the inclisiran cost-effectiveness model, a Markov model simulates health gains in terms of avoided CV events and CV deaths because of add-on inclisiran treatment for patients aged 50 years and older with pre-existing atherosclerotic CV disease. These are translated into socioeconomic effects, defined as societal impact. To that end, we quantify avoided productivity losses in terms of paid and unpaid work productivity and monetize them according to gross value added. Furthermore, we calculate value chain effects for paid work activities, drawing on value-added multipliers based on input-output tables. The derived value-invest ratio compares avoided productivity losses against the increased healthcare costs. RESULTS: Our results show that 138 647 CV events could be avoided over a period of 10 years. The resulting societal impact amounts to £8.17 billion, whereas additional healthcare costs are estimated at £7.94 billion. This translates into a value-invest ratio of 1.03. CONCLUSIONS: Our estimates demonstrate the potential health and socioeconomic value of inclisiran. Thereby, we highlight the importance to treat CVD and illustrate the impact that a large-scale intervention can have on population health and the economy.

Identifying individuals with complex and long-term health-care needs using the Johns Hopkins Adjusted Clinical Groups System: A comparison of data from primary and specialist health care.

AIMS: This study aimed to present the Johns Hopkins Adjusted Clinical Groups (ACG) System risk stratification profile of a total adult population of somatic health-care users when using data from either general practitioners (GPs) or hospital services and to compare the number and characteristics of individuals identified as having complex and long-term health-care needs in each data source. METHODS: This was a registry-based study that included all adult residents (N=168,285) in four municipalities in Central Norway who received somatic health care during 2013. Risk profiles were generated using the ACG System based on age, sex and diagnoses registered by GPs or the local hospital. ACG output variables on number of chronic conditions, frailty and concurrent resource utilisation were chosen as indicators of complexity. RESULTS: Nearly nine out of 10 (83.9%) of the population had been in contact with a GP, and 35.4% with the hospital. The mean number of diagnoses (3.0) was equal in both sources. A larger proportion of the population had higher risk scores in all variables except frailty when comparing hospital data to GP data. This was also found when comparing individuals identified as having complex and long-term health-care needs. A similar proportion of the population was found to have complex and long-term health-care needs (hospital 6.7%, GP 6.3%), but only one in five (21.5%) were identified in both data sets. CONCLUSIONS: As data from GPs and hospitals identified mostly different individuals with complex and long-term health-care needs, combining data sources is likely to be the best option for identifying those most in need of special attention.

Implementation of an integrated community approach in deprived neighbourhoods: a theory-based process evaluation using the Consolidated Framework for Implementation Research (CFIR).

BACKGROUND: We investigated the implementation process of an Integrated Community Approach (ICA) applied in four low socio-economic status neighbourhoods in Maastricht, the Netherlands. The ICA is a Population Health Management initiative and aims to improve population health, quality of care, professional's satisfaction and decrease costs of care. This study addresses the facilitators and barriers for implementing the ICA from a stakeholder perspective, including steering group members, professionals and citizens. METHODS: We conducted a mixed-methods study using a triangulation of methods to investigate the implementation from 1 December 2016 to 31 December 2020. The Consolidated Framework for Implementation Research guided data collection and data-analysis for evaluating the implementation process. In total, 77 interviews, 97 observations, seven focus groups, 65 collected documents and two surveys with open-ended questions were conducted. RESULTS: Facilitators for implementation were the use of citizen science to bring residents' needs into sharp focus, the integration of the ideology of Positive Health into the working routines of the professionals and leadership at the steering group level to overcome barriers in the ICA. The existing accounting and financial infrastructure obstructed combining budgets at neighbourhood level. CONCLUSIONS: Engaging citizens and professionals at an early stage is an important facilitator for implementation. The use of a shared vision on health also worked as a facilitator since it created a shared language among professionals, which is important in Population Health Management initiatives where multiple professionals are expected to collaborate. TRIAL REGISTRATION: NTR 6543; registration date, 25 July 2017.

How to successfully implement population health management: a scoping review.

BACKGROUND: Despite international examples, it is unclear for multisector initiatives which want to sustainably improve the health of a population how to implement Population Health Management (PHM) and where to start. Hence, the main purpose of this research is to explore current literature about the implementation of PHM and organising existing knowledge to better understand what needs to happen on which level to achieve which outcome. METHODS: A scoping review was performed within scientific literature. The data was structured using Context-Mechanism-Outcome, the Rainbow model of integrated care and six elements of PHM as theoretical concepts. RESULTS: The literature search generated 531 articles, of which 11 were included. Structuring the data according to these three concepts provided a framework that shows the skewed distribution of items that influence the implementation of PHM. It highlights that there is a clear focus on normative integration on the organisational level in 'accountable regional organisation'. There is less focus on the normative integration of 'cross domain business model', 'integrated data infrastructure', and 'population health data analytics', and overall the perspective of citizen and professionals, indicating possible gaps of consideration. CONCLUSIONS: A first step is taken towards a practical guide to implement PHM by illustrating the depth of the complexity and showing the partial interrelatedness of the items. Comparing the results with existing literature, the analysis showed certain gaps that are not addressed in practice, but should be according to other frameworks. If initiators follow the current path in literature, they may be missing out on some important components to achieve proper implementation of PHM.

Population health management in Belgium: a call-to-action and case study.

BACKGROUND: Although there are already success stories, population health management in Belgium is still in its infancy. A health system transformation approach such as population health management may be suited to address the public health issue of atherosclerotic cardiovascular disease, as this is one of the main causes of mortality in Belgium. This article aims to raise awareness about population health management in Belgium by: (a) eliciting barriers and recommendations for its implementation as perceived by local stakeholders; (b) developing a population health management approach to secondary prevention of atherosclerotic cardiovascular disease; and (c) providing a roadmap to introduce population health management in Belgium. METHODS: Two virtual focus group discussions were organized with 11 high-level decision makers in medicine, policy and science between October and December 2021. A semi-structured guide based on a literature review was used to anchor discussions. These qualitative data were studied by means of an inductive thematic analysis. RESULTS: Seven inter-related barriers and recommendations towards the development of population health management in Belgium were identified. These related to responsibilities of different layers of government, shared responsibility for the health of the population, a learning health system, payment models, data and knowledge infrastructure, collaborative relationships and community involvement. The introduction of a population health management approach to secondary prevention of atherosclerotic cardiovascular disease may act as a proof-of-concept with a view to roll out population health management in Belgium. CONCLUSIONS: There is a need to instill a sense of urgency among all stakeholders to develop a joint population-oriented vision in Belgium. This call-to-action requires the support and active involvement of all Belgian stakeholders, both at the national and regional level.

Program managers' perspectives on using knowledge to support population health management initiatives in their development towards health and wellbeing systems: a qualitative study.

BACKGROUND: Population health management (PHM) initiatives are more frequently implemented as a means to tackle the growing pressure on healthcare systems in Western countries. These initiatives aim to transform healthcare systems into sustainable health and wellbeing systems. International studies have already identified guiding principles to aid this development. However, translating this knowledge to action remains a challenge. To help address this challenge, the study aims to identify program managers' experiences and their expectations as to the use of this knowledge to support the development process of PHM initiatives. METHODS: Semi-structured interviews were held with program managers of ten Dutch PHM initiatives. These Dutch PHM initiatives were all part of a reflexive evaluation study and were selected on the basis of their variety in focus and involved stakeholders. Program managers were asked about their experiences with, and expectations towards, knowledge use to support the development of their initiative. The interviews with the program managers were coded and clustered thematically. RESULTS: Three lessons for knowledge use for the development of PHM initiatives were identified: (1) being able to use knowledge regarding the complexity of PHM development requires (external) expertise regarding PHM development and knowledge about the local situation regarding these themes; (2) the dissemination of knowledge about strategies for PHM development requires better guidance for action, by providing more practical examples of actions and consequences; (3) a collective learning process within the PHM initiative is needed to support knowledge being successfully used for action. CONCLUSIONS: Disseminating and using knowledge to aid PHM initiatives is complex due to the complexity of the PHM development itself, and the different contextual factors affecting knowledge use in this development. The findings in this study suggest that for empirical knowledge to support PHM development, tailoring knowledge to only program managers' use might be insufficient to support the initiatives' development, as urgency for change amongst the other involved stakeholders is needed to translate knowledge to action. Therefore, including more partners of the initiatives in knowledge dissemination and mobilization processes is advised.

Addressing Hypertension Outcomes Using Telehealth and Population Health Managers: Adaptations and Implementation Considerations.

PURPOSE OF REVIEW: There is a growing evidence base describing population health approaches to improve blood pressure control. We reviewed emerging trends in hypertension population health management and present implementation considerations from an intervention called Team-supported, Electronic health record-leveraged, Active Management (TEAM). By doing so, we highlight the role of population health managers, practitioners who use population level data and to proactively engage at-risk patients, in improving blood pressure control. RECENT FINDINGS: Within a population health paradigm, we discuss telehealth-delivered approaches to equitably improve hypertension care delivery. Additionally, we explore implementation considerations and complementary features of team-based, telehealth-delivered, population health management. By leveraging the unique role and expertise of a population health manager as core member of team-based telehealth, health systems can implement a cost-effective and scalable intervention that addresses multi-level barriers to hypertension care delivery. We describe the literature of telehealth-based population health management for patients with hypertension. Using the TEAM intervention as a case study, we then present implementation considerations and intervention adaptations to integrate a population health manager within the health care team and effectively manage hypertension for a defined patient population. We emphasize practical considerations to inform implementation, scaling, and sustainability. We highlight future research directions to advance the field and support translational efforts in diverse clinical and community contexts.

Radiologists' Increasing Role in Population Health Management: AJR Expert Panel Narrative Review.

Population health management (PHM) is the holistic process of improving health outcomes of groups of individuals through the support of appropriate financial and care models. Radiologists' presence at the intersection of many aspects of health care, including screening, diagnostic imaging, and image-guided therapies, provides the opportunity for increased radiologist engagement in PHM. Furthermore, innovations in artificial intelligence and imaging informatics will serve as critical tools to improve value in health care through evidence-based and equitable approaches. Given radiologists' limited engagement in PHM to date, it is imperative to define the PHM priorities of the specialty so that radiologists' full value in improving population health is realized. The purpose of this expert review is to explore programs and future directions for radiologists in PHM.

Patient-Reported Outcomes and Risk of Hospitalization and Readmission in Patients with Inflammatory Bowel Diseases.

BACKGROUND AND AIMS: Patient-reported outcome measures (PROMs) provide a wholesome view of patient well-being. We conducted a retrospective cohort study to evaluate whether PROMs inform risk of unplanned healthcare utilization in patients with IBD. METHODS: We identified adult patients with IBD who completed at least two surveys in a large Internet-based cohort within 1 year. We evaluated the association between baseline patient characteristics, disease activity indices, medication use, and PROMs, assessed using NIH Patient-Reported Outcome Measurement Information System (PROMIS) and subsequent risk of incident hospitalization (at time of first follow-up) within 1 year, and readmission within 1 year (in patients with hospitalization at first follow-up), using multivariable logistic regression. RESULTS: Of 7902 patients with IBD (45.5 year, 72% females, 63% Crohn's disease), 1377 (17.4%) were hospitalized within 1 year. Among PROMs, pain interference (adjusted OR per 5-point increase in PROMIS, 1.09; 95% CI 1.05-1.14), but not depression, anxiety, fatigue or sleep disturbance, was predictive of higher risk of hospitalization. Prior surgery or hospitalization, symptomatic disease, biologic, and corticosteroid use were also associated with higher risk of hospitalization. Of 521 patients hospitalized with IBD, 133 (25.5%) were readmitted within 1 year. Anxiety and pain interference were predictive of higher risk of readmission, whereas depression was associated with lower risk of readmission. CONCLUSIONS: In a large Internet-based cohort study, PROMs may have a modest effect on modifying risk of unplanned healthcare utilization in patients with IBD, with pain interference being most consistently associated with increased risk of hospitalization and readmission.

Collaborative governance at the start of an integrated community approach: a case study.

BACKGROUND: We studied collaborative governance at the start of an integrated community approach aiming to improve population health, quality of care, controlling health care costs and improving professional work satisfaction. Our objective was to investigate which characteristics of collaborative governance facilitate or hamper collaboration in the starting phase. This question is of growing importance for policymakers and health initiatives, since on a global scale there is a shift towards 'population health management' where collaboration between stakeholders is a necessity. In addition, it is crucial to investigate collaborative governance from the beginning, since it offers opportunities for sustainability of collaboration later on in the process. METHODS: We performed a qualitative case study in four deprived neighbourhoods in the city of Maastricht, the Netherlands. An integrated community approach was implemented, involving various stakeholders from the public and private health sectors and provincial and local authorities. Data was collected from December 2016 to December 2018, with a triangulation of methods (50 observations, 24 interviews and 50 document reviews). The Integrative Framework for Collaborative Governance guided data collection and analysis. RESULTS: We focused on the dynamics within the collaborative governance regime, consisting of principled engagement, shared motivation and capacity for joint action. We found that shared goalsetting, transparency, being physically present, informal meetings, trust and leadership are key aspects at the start of collaborative governance. An extensive accountability structure can both hamper (time-consuming which hinders innovation) and facilitate (keep everybody on board) collaboration. The characteristics we found are of significance for policy, practice and research. Policymakers and practitioners can use our lessons learned for implementing similar (population health) initiatives. This case study contributes to the already existing literature on collaborative governance adding to the knowledge gap on the governance of population health approaches. TRIAL REGISTRATION: NTR6543 , registration date; 25 July 2017.

Empowerment-based support program for vulnerable populations living with diabetes, obesity or high blood pressure: a scoping review.

BACKGROUND: The management of chronic diseases such as diabetes, obesity and high blood pressure is a major global health challenge, particularly among the most disadvantaged populations. Beyond the biomedical management of these diseases, comprehensive support that takes into account the peoples' economic and social situation is fundamental. The objective of this scoping review is to create an inventory and an analysis of the different types of support for these chronic diseases among disadvantaged, immigrant or minority populations to contribute to a better definition and characterization of what should be global support for these vulnerable populations suffering from these diseases. METHODS: A search of PubMed, PsycINFO, Sages Journals and Web of Science was conducted (between March and May 2021) for articles published between January 2000 and May 2021. Articles were selected after screening titles, abstracts and full texts according to our 5 inclusion criteria. RESULTS: We included 16 articles. The diabetes, obesity and high blood pressure support programs described in these articles operate to improve physical and mental health and access to care. The approaches of these interventions are focused on the training and participation of people and the implementation of support actions adapted to the person. The majority of these interventions have a real attachment to the community. CONCLUSIONS: This review of the literature shows that support for people with chronic diseases such as diabetes, obesity or high blood pressure is based on three pillars: empowerment, peer mediation and holistic and tailor-made support for the individual. The empowerment approach, which considers the capacities and resources of individuals and whose goal is to strengthen their ability to act on their health, appears to be entirely suited to the support of these chronic diseases. This review underlines the importance of moving away from a biomedical approach to a holistic approach truly focused on the person, their capacities and their needs.

Prevalence of social risk factors and social needs in a Medicaid Accountable Care Organization (ACO).

BACKGROUND: Health-related social needs (HRSN) are associated with higher chronic disease prevalence and healthcare utilization. Health systems increasingly screen for HRSN during routine care. In this study, we compare the differential prevalence of social risk factors and social needs in a Medicaid Accountable Care Organization (ACO) and identify the patient and practice characteristics associated with reporting social needs in a different domain from social risks. METHODS: Cross-sectional study of patient responses to HRSN screening February 2019-February 2020. HRSN screening occurred as part of routine primary care and assessed social risk factors in eight domains and social needs by requesting resources in these domains. Participants included adult and pediatric patients from 114 primary care practices. We measured patient-reported social risk factors and social needs from the HRSN screening, and performed multivariable regression to evaluate patient and practice characteristics associated with reporting social needs and concordance to social risks. Covariates included patient age, sex, race, ethnicity, language, and practice proportion of patients with Medicaid and/or Limited English Proficiency (LEP). RESULTS: Twenty-seven thousand four hundred thirteen individuals completed 30,703 screenings, including 15,205 (55.5%) caregivers of pediatric patients. Among completed screenings, 13,692 (44.6%) were positive for ≥ 1 social risk factor and 2,944 (9.6%) for ≥ 3 risks; 5,861 (19.1%) were positive for social needs and 4,848 (35.4%) for both. Notably, 1,013 (6.0%) were negative for social risks but positive for social needs. Patients who did not identify as non-Hispanic White or were in higher proportion LEP or Medicaid practices were more likely to report social needs, with or without social risks. Patients who were non-Hispanic Black, Hispanic, preferred non-English languages or were in higher LEP or Medicaid practices were more likely to report social needs without accompanying social risks. CONCLUSIONS: Half of Medicaid ACO patients screened for HRSN reported social risk factors or social needs, with incomplete overlap between groups. Screening for both social risks and social needs can identify more individuals with HRSN and increase opportunities to mitigate negative health outcomes.

Developing population-based hypertension control programs.

Hypertension remains the leading cause of cardiovascular disease globally despite the availability of safe and effective treatments. Unfortunately, many barriers exist to controlling hypertension, including a lack of effective screening and awareness, an inability to access treatment and challenges with its management when it is treated. Addressing these barriers is complex and requires engaging in a systematic and sustained approach across communities over time. This analysis aims to describe the key elements needed to create an effective delivery system for hypertension control. A successful system requires political will and supportive leadership at all levels of an organization, including at the point of care delivery (office or clinic), in the health care system, and at regional, state and national levels. Effective screening and outreach systems are necessary to identify individuals not previously diagnosed with hypertension, and a system for follow up and tracking is needed after people are diagnosed. Implementing simple protocols for treating hypertension can reduce confusion among providers and increase treatment efficiency. Ensuring easy access to safe, effective and affordable medications can increase blood pressure control and potentially decrease health care system costs. Task-sharing among members of the health care team can expand the services that are delivered. Finally, monitoring of and reporting on the performance of the health care team are needed to learn from those who are doing well, disseminate ideas to those in need of improvement and identify individual patients who need outreach or additional care. Successful large-scale hypertension programs in different settings share many of these key elements and serve as examples to improve systems of hypertension care delivery throughout the world.

A pesar de la disponibilidad de tratamientos seguros y efectivos, la hipertensión sigue siendo la principal causa de enfermedad cardiovascular a nivel mundial. Lamentablemente, el control de la hipertensión enfrenta muchos obstáculos, como la falta de detección y concientización efectivas, la incapacidad de acceder al tratamiento y los retos que plantea su manejo cuando se recibe tratamiento. Resulta complejo abordar estos obstáculos; se debe adoptar un enfoque sistemático y sostenido en todas las comunidades a lo largo del tiempo. El presente análisis tiene como objetivo describir los elementos clave necesarios para crear un sistema de atención eficaz para el control de la hipertensión. Un sistema adecuado precisa voluntad política y un liderazgo que brinde apoyo en todos los niveles de una organización, incluido el punto donde se presta la atención (consultorio o clínica), el sistema de atención de salud y a nivel regional, estatal y nacional. Se necesitan sistemas efectivos de detección y de alcance comunitario para encontrar a las personas sin diagnóstico previo de hipertensión, así como un sistema para el seguimiento y la localización una vez han sido diagnosticadas. La aplicación de protocolos simples para tratar la hipertensión puede reducir la confusión entre los proveedores y aumentar la eficiencia del tratamiento. Garantizar un acceso fácil a medicamentos seguros, efectivos y asequibles puede aumentar el control de la presión arterial y potencialmente disminuir los costos para el sistema de atención de salud. La distribución de tareas entre los miembros del equipo de atención de salud permite expandir los servicios que se prestan. Finalmente, es necesario dar seguimiento al desempeño del equipo de atención de salud y presentar información al respecto, a fin de aprender de las buenas prácticas, difundir ideas entre quienes necesitan mejorar y determinar a cuáles pacientes se debe llegar y cuáles necesitan atención adicional. Los programas de hipertensión a gran escala con buenos resultados en diferentes entornos comparten muchos de estos elementos clave y sirven como ejemplos para mejorar la atención de la hipertensión en todo el mundo.

A hipertensão continua sendo a principal causa de doenças cardiovasculares no mundo, apesar da disponibilidade de tratamentos seguros e eficazes. Infelizmente, existem muitas barreiras para o controle da hipertensão, incluindo a falta de rastreamento e a conscientização eficazes, a incapacidade de acesso ao tratamento e desafios de conduta clínica quando ela é tratada. A abordagem dessas barreiras é complexa e requer um enfoque sistemático e sustentado em diferentes comunidades ao longo do tempo. Esta análise tem como objetivo descrever os elementos-chave necessários para criar um sistema eficaz de prestação de intervenções para o controle da hipertensão. Um sistema de sucesso requer vontade política e liderança que o apoie em todos os níveis de uma organização, inclusive no ponto da prestação de cuidados (consultório ou clínica), no sistema de saúde e nos níveis regional, estadual e nacional. Sistemas eficazes de triagem e acolhida são necessários para identificar indivíduos com hipertensão não diagnosticada, e um sistema de acompanhamento e rastreamento após o diagnóstico se faz igualmente necessário. A implementação de protocolos simples para o tratamento da hipertensão pode reduzir a confusão entre os profissionais de saúde e aumentar a eficiência do tratamento. Garantir o fácil acesso a medicamentos seguros, eficazes e acessíveis pode aumentar o controle da pressão arterial e potencialmente diminuir os custos do sistema de saúde. A divisão de tarefas entre os integrantes da equipe de saúde pode expandir os serviços prestados. Finalmente, é necessário monitorar e informar acerca do desempenho da equipe de saúde para aprender com aqueles que estão indo bem, disseminar ideias para aqueles que precisam melhorar e identificar pacientes individuais que precisam de ajuda ou cuidados adicionais. Programas bem-sucedidos de controle da hipertensão em larga escala em diferentes ambientes compartilham muitos desses elementos-chave e servem como exemplos para melhorar os sistemas de atenção à hipertensão em todo o mundo.