Individual Health Outcomes Research Articles

We outside: Modeling equity‐centered, antiracist, community‐driven partnerships in resident education

AbstractBackgroundCommunity engagement is increasingly recognized as a necessity in addressing intractable racial and ethnic health disparities in the United States. However, institutions have not adequately trained resident physicians in developing symbiotic community partnerships that preserve community autonomy and identity without exploitation. Our goals were to highlight the experiences of expert academic emergency physicians in creating innovative, community‐driven, and anti‐racist solutions to achieving measurable equity in health outcomes and to introduce a novel framework entitled the Social Change Method to take a community‐embedded intervention from concept to creation.MethodsThe methodology was based on the development of a didactic session at the 2023 SAEM Annual Meeting. The three novel initiatives discussed were Emergency Medicine Remix (EMR); Trust, Research, Access, and Prevention (TRAP) Medicine; and The Health Equity Accelerator (HEA). A team of multi‐institutional experts convened to develop the session objectives through priority setting.ResultsOur expert panel discussed successes and challenges encountered while using evidence‐informed strategies to conduct their community‐based programming. Participant questions were centered on fostering sustainability, emphasizing the importance of carefully crafted interventions in the face of uncertain legislative challenges and strategies to empower others.ConclusionsEmergency medicine residency education should incorporate training on methods to leverage community partnerships to improve individual and community health outcomes. The Social Change Method can be used as a conceptual framework to generate easily re‐creatable and scalable partnerships that establish trust and forge relationships that honor identity and autonomy without exploiting community members.

Improving linkage to HIV care following a reactive HIV self-testing result among men in KwaZulu-Natal, South Africa

BackgroundDespite the many interventions that have been implemented in sub-Saharan Africa to improve the uptake of HIV testing and antiretroviral (ART) initiation services, the rates at which men are tested for HIV and initiated on ART have remained consistently lower compared to those for women. We aim to investigate barriers and facilitators for linkage to care following HIVST positive results among men aged between 18 and 49 years, and use these findings to design an intervention to improve linkage to care among men in a high-HIV prevalent district in KwaZulu-Natal province, South Africa.MethodsThis multi-method study will be conducted over 24 months in eight purposively selected HIV testing and treatment facilities from December 2023 to November 2025. For the quantitative component, a sample of 197 HIV positive men aged 18–49 years old who link to care after HIV self-test (HIVST) will be recruited into the study. HIVST kits will be distributed to a minimum of 3000 men attending community services through mobile clinics that are supported by the Health Systems Trust, at different service delivery points, including schools, taxi ranks and other hotspots. The qualitative component will consist of in-depth interviews (IDIs) with 15 HIVST users and IDIs with 15 key informants. To design and develop acceptable, feasible, effective, and sustainable models for improving linkage to care, three groups of HIVST users (2*positive (N = 12) and 1*negative (N = 12)) will be purposively select to participate in a design workshop. Chi square tests will be used to identify social and demographic factors associated with linkage, while logistic regression will be used to identify independent factors. Kaplan Meier curves and cox proportional hazard models will be used to identify factors associated with time to event. Content and thematic approaches will be used to analyze the qualitative data.DiscussionThere remains an urgent need for designing and implementing innovative intervention strategies that are convenient and tailored for addressing the needs of men for improving HIV testing and linkage to care at early stages in resource-limited settings, to improve individual health outcomes, reduce transmission from HIV and minimize HIV-related mortality rates. Our proposed study offers several important innovations aimed at improving linkage to care among men. Our study targets men, as they lag the HIV continuum but are also under-researched in public health studies.

Legal Difficulties Associated With the Use of Big Data in Healthcare: Civil Law and Cyberlaw Review

Current trends suggest a future in which big data can be used to predict individual health risks and outcomes with exceptional accuracy. By analyzing large datasets that include various health indicators, algorithms can predict the onset of disease, allowing for early intervention and personalized treatment plans. However, the legal and ethical implications of predictive health analytics, such as potential misuse of predictive information or unfair discrimination based on health risks, require careful consideration. In terms of global health surveillance, the COVID-19 pandemic has highlighted the potential of big data to track the spread of disease and inform public health responses.

The effect of family health on suboptimal health status: The parallel mediation role of sleep quality and health behaviour.

The prevalence of suboptimal health status has been increasing worldwide, posing a significant challenge to public health. Meanwhile, family health has been recognised as an important factor influencing individual health outcomes. However, the mechanisms through which family health affects suboptimal health status remain unclear. We aimed to investigate the parallel mediation role of sleep quality and health behaviour in the relationship between family health and suboptimal health status. We conducted a cross-sectional online survey with a sample of adults >18 years old from four provinces in China. The survey questionnaires queried their demographic characteristics, family health, suboptimal health status, sleep quality, and health behaviour. We assessed family health by the Family Health Scale-Short Form and suboptimal health status using the Suboptimal Health Status Questionnaire. We employed structural equation modelling to analyse the data and test the proposed mediation model. we collected 4918 valid questionnaires. The mean age of the participants was 30.1 years (standard deviation = 12.5). The correlation analysis demonstrated a significant negative association between family health and suboptimal health status (r = -0.44; P < 0.001). The results of the parallel mediation analysis showed that family health had a significant indirect effect on suboptimal health status through both sleep quality (β = -0.350; P < 0.001) and health behaviour (β = -0.137; P < 0.001). The total indirect effect of family health on suboptimal health status through both sleep quality and health behaviour was also significant (β = -0.569, P < 0.001). This study highlights the significance of family health as a predictor of suboptimal health status and suggests that sleep quality and health behaviour are parallel mediators in this relationship. By understanding the role of family health, sleep quality, and health behaviour, interventions can be targeted to improve overall health outcomes.

An emerging tool in healthcare: wearable surface-enhanced Raman Spectroscopy

This perspective explores the progressive domain of wearable surface-enhanced Raman spectroscopy (SERS), underscoring its potential to revolutionize healthcare. As an advanced variation of traditional Raman spectroscopy, SERS offers heightened sensitivity in detecting molecular vibrations. Applied in wearable technology, it provides a mechanism for continuous, non-invasive, real-time monitoring of chemical and biomolecular processes in the human body through biofluids such as sweat and tears. This underscores its immense potential in enabling early disease detection and facilitating personalized medicine. However, the adoption of wearable SERS is not without challenges, which include device miniaturization, reliable biofluid sampling, user comfort, biocompatibility, and data interpretation. Nevertheless, this perspective emphasizes that the fast-paced advancements in nanotechnology and data sciences render these challenges surmountable. In summary, the perspective presents wearable SERS as a promising innovation in healthcare’s future landscape. It has the potential to enhance individual health outcomes significantly and lower healthcare costs by promoting a preventive health management approach.

Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study.

Referred to as the "silent killer," elevated blood pressure (BP) often goes unnoticed due to the absence of apparent symptoms, resulting in cumulative harm over time. Chronic stress has been consistently linked to increased BP. Prior studies have found that elevated BP often arises due to a stressful lifestyle, although the effect of exact stressors varies drastically between individuals. The heterogeneous nature of both the stress and BP response to a multitude of lifestyle decisions can make it difficult if not impossible to pinpoint the most deleterious behaviors using the traditional mechanism of clinical interviews. The aim of this study is to leverage machine learning (ML) algorithms for real-time predictions of stress-induced BP spikes using consumer wearable devices such as Fitbit, providing actionable insights to both patients and clinicians to improve diagnostics and enable proactive health monitoring. This study also seeks to address the significant challenges in identifying specific deleterious behaviors associated with stress-induced hypertension through the development of personalized artificial intelligence models for individual patients, departing from the conventional approach of using generalized models. The study proposes the development of ML algorithms to analyze biosignals obtained from these wearable devices, aiming to make real-time predictions about BP spikes. Given the longitudinal nature of the data set comprising time-series data from wearables (eg, Fitbit) and corresponding time-stamped labels representing stress levels from Ecological Momentary Assessment reports, the adoption of self-supervised learning for pretraining the network and using transformer models for fine-tuning the model on a personalized prediction task is proposed. Transformer models, with their self-attention mechanisms, dynamically weigh the importance of different time steps, enabling the model to focus on relevant temporal features and dependencies, facilitating accurate prediction. Supported as a pilot project from the Robert C Perry Fund of the Hawaii Community Foundation, the study team has developed the core study app, CardioMate. CardioMate not only reminds participants to initiate BP readings using an Omron HeartGuide wearable monitor but also prompts them multiple times a day to report stress levels. Additionally, it collects other useful information including medications, environmental conditions, and daily interactions. Through the app's messaging system, efficient contact and interaction between users and study admins ensure smooth progress. Personalized ML when applied to biosignals offers the potential for real-time digital health interventions for chronic stress and its symptoms. The project's clinical use for Hawaiians with stress-induced high BP combined with its methodological innovation of personalized artificial intelligence models highlights its significance in advancing health care interventions. Through iterative refinement and optimization, the aim is to develop a personalized deep-learning framework capable of accurately predicting stress-induced BP spikes, thereby promoting individual well-being and health outcomes. DERR1-10.2196/55615.

Personalizing Nutrition Strategies: Bridging Research and Public Health.

In recent years, although life expectancy has increased significantly, non-communicable diseases (NCDs) continue to pose a significant threat to the health of the global population. Therefore, eating habits have been recognized as key modifiable factors that influence people's health and well-being. For this reason, it is interesting to study dietary patterns, since the human diet is a complex mixture of macronutrients, micronutrients, and bioactive compounds, and can modulate multiple physiological processes, including immune function, the metabolism, and inflammation. To ensure that the data we acquired were current and relevant, we searched primary and secondary sources, including scientific journals, bibliographic indexes, and databases in the last 15 years with the most relevant articles. After this search, we observed that all the recent research on NCDs suggests that diet is a critical factor in shaping an individual's health outcomes. Thus, cardiovascular, metabolic, mental, dental, and visual health depends largely on the intake, habits and patterns, and nutritional behaviors. A diet high in processed and refined foods, added sugars, and saturated fats can increase the risk of developing chronic diseases. On the other hand, a diet rich in whole, nutrient-dense foods, such as vegetables, fruits, nuts, legumes, and a high adherence to Mediterranean diet can improve health's people.

Do healthcare providers consider the social determinants of health? Results from a nationwide cross-sectional study in the United States

BackgroundWhile the social determinants of health (SDOH) have a greater impact on individual health outcomes than the healthcare services a person receives, healthcare providers face barriers to addressing these factors in clinical settings. Previous studies have shown that providers often lack the necessary knowledge and resources to adequately screen for and otherwise assist patients with unmet social needs. This study explores the perceptions and behaviors related to SDOH among healthcare providers in the United States (US).MethodsThis cross-sectional study analyzed data from a 22-item online survey using Reaction Data’s research platform of healthcare professionals in the US. Survey items included demographic questions as well as Likert scale questions about healthcare providers’ perceptions and behaviors related to SDOH. Descriptive statistics were calculated, and further analyses were conducted using t-tests and analysis of variance.ResultsA total of 563 respondents completed the survey, with the majority being male (72.6%), White (81%), and located in urban areas (82.2%). In terms of perceptions, most providers agreed or strongly agreed that SDOH affect the health outcomes of all patients (68.5%), while only 24.1% agreed or strongly agreed that their healthcare setting was set up to address SDOH. In terms of behavior, fewer than half currently screened for SDOH (48.6%) or addressed (42.7%) SDOH in other ways. Most providers (55.7%) wanted additional resources to focus on SDOH. Statistical analyses showed significant differences by gender, with females being more likely than males to prioritize SDOH, and by specialty, with psychiatrists, pediatricians, and family/general medicine practitioners being more likely to prioritize SDOH.ConclusionMost healthcare providers understand the connection between unmet social needs and their patients’ health, but they also feel limited in their ability to address these issues. Ongoing efforts to improve medical education and shift the healthcare system to allow for payment and delivery of more holistic care that considers SDOH will likely provide new opportunities for healthcare providers. In addition to what they can do at the institutional and patient levels, providers have the potential to advocate for policy and system changes at the societal level that can better address the root causes of social issues.

Longitudinal Associations of Experienced and Perceived Community Stigma With Antiretroviral Therapy Adherence and Viral Suppression in New-to-Care People With HIV: Mediating Roles of Internalized Stigma and Depression Symptoms.

Although cross-sectional studies have suggested that HIV-related stigma and depression symptoms may result in poor HIV treatment and health outcomes, few studies have investigated potential longitudinal mechanisms in these relationships. Furthermore, longitudinal effects of HIV-related stigma on health outcomes have not been examined in people with HIV (PWH) newly initiating HIV clinical care. We examined longitudinal associations between experienced and perceived community stigma and health outcomes (antiretroviral therapy [ART] adherence and viral load), mediated by internalized stigma and depression symptoms among new-to-care PWH in the United States. Data were obtained from 371 PWH who initiated HIV medical care at 4 HIV sites at baseline and 48 weeks later between December 2013 and 2018. Validated measures were used to assess experienced stigma, perceived community stigma, internalized stigma, depression symptoms, and ART adherence, and viral load was obtained from medical records at the final study visit. Serial mediation models revealed significant indirect effects of experienced stigma and perceived community stigma on ART adherence and on viral suppression, first through internalized stigma and then through depression symptoms. These results suggest that PWH may tend to internalize HIV-related stigma when they experience acts of stigmatization or perceive negative attitudes in society, which in turn may result in negative effects on psychological and physical well-being. These findings about how stigma in society may be an antecedent mechanism for PWH to develop internalized stigma, which in turn affects individual health outcomes, can be used to tailor both individual-level and community-level interventions.

Adherence to the Atrial fibrillation Better Care pathway and the risk of adverse health outcomes in older care home residents with atrial fibrillation: a retrospective data linkage study 2003-18.

The Atrial fibrillation Better Care (ABC) pathway is the gold-standard approach to atrial fibrillation (AF) management, but the effect of implementation on health outcomes in care home residents is unknown. To examine associations between ABC pathway adherence and stroke, transient ischaemic attack, cardiovascular hospitalisation, major bleeding, mortality and a composite of all these outcomes in care home residents. A retrospective cohort study of older care home residents (≥65years) in Wales with AF was conducted between 1 January 2003 and 31 December 2018 using the Secure Anonymised Information Linkage Databank. Adherence to the ABC pathway was assessed at care home entry using pre-specified definitions. Cox proportional hazard and competing risk models were used to estimate the risk of health outcomes according to ABC adherence. From 14,493 residents (median [interquartile range] age 87.0 [82.6-91.2] years, 35.2% male) with AF, 5,531 (38.2%) were ABC pathway adherent. Pathway adherence was not significantly associated with risk of the composite outcome (adjusted hazard ratio, 95% confidence interval [CI]: 1.01 [0.97-1.05]). There was a significant independent association observed between ABC pathway adherence and a reduced risk of myocardial infarction (0.70 [0.50-0.98]), but a higher risk of haemorrhagic stroke (1.59 [1.06-2.39]). ABC pathway adherence was not significantly associated with any other individual health outcomes examined. An ABC adherent approach in care home residents was not consistently associated with improved health outcomes. Findings should be interpreted with caution owing to difficulties in defining pathway adherence using routinely collected data and an individualised approach is recommended.

Understanding the perspectives and needs of multiple stakeholders: Identifying key elements of a digital health intervention to protect against environmental hazards.

AirRater is a free environmental health smartphone app developed and available in Australia that collects individual health data and disseminates environmental hazard information to populations. Following previous evaluations with app users, the aim of this study was to better understand how clinicians, government agency and non-government advocacy group representatives perceive an app designed to reduce the impacts of environmental hazards on individual and public health. Nine government agency and non-government advocacy group representatives, along with 11 clinicians based in Australia participated in a semi-structured interview or focus group to explore perspectives on AirRater. Interview and focus group data were transcribed and analysed using the qualitative data analysis software NVivo. Results indicate that for clinicians, apps like AirRater can add value as an educational, patient self-management and diagnostic tool. For government and peak bodies, apps can add value by addressing environmental health literacy and monitoring and forecasting gaps, as well as supporting advocacy efforts and public health surveillance. We conclude that environmental health smartphone apps can support a range of stakeholders to achieve shared goals and priorities related to individual and public health outcomes. Further research is needed to better understand how apps could be embedded into clinical practice and policy settings.

The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China

The impact of objective and subjective environmental factors on health outcomes has been a topic of significant debate, with a growing body of research acknowledging the role of a physically active lifestyle in promoting health. However, consensus regarding their precise influence remains elusive. This study contributes to these discussions by exploring how individual health outcomes correlate with transport and leisure walking behaviours, set against both the objective and subjective aspects of environmental influences in the context of Wuhan, an inland Chinese megacity. Street view images, multi-source geospatial data and a questionnaire survey were employed to characterise the “5D + Greenery” objective and perceived characteristics of the neighbourhood environment. Multi-group structural equation modelling was utilised to unravel the complex relationship and gender heterogeneity among environmental factors, purpose-specific walking, and overweight. Our results suggest that both objective land use diversity and perceived convenience are significantly associated with overweight. The accessibility of local service facilities and visible greenery promote both transport and leisure walking. While perceived neighbourhood safety encourages transport walking, perceived walkability is positively correlated with leisure walking. Notably, leisure walking, usually considered beneficial, presents a positive association with overweight conditions, acting as a mediation. Gender disparities exist in pathways between the environment and purpose-specific walking, as well as weight. The findings lend support to the planning of an activity-supporting built environment as a crucial strategy for obesity prevention.

Social needs screening in primary care: A tool in the fight for health equity?

Progress on addressing health inequalities is slow and in many places around the world the gap between the privileged and the disadvantaged is widening. This is driven largely by an unfair and unequal distribution of the social determinants of health. While upstream policy and agenda commitment is needed to improve social determinants of health at a population level, healthcare also has a role. Currently social information is sporadically collected and used in healthcare. Improving our understanding of social problems is crucial in targeting services and to reduce the overreliance on area-level measures of deprivation. This has the potential to improve patient care as well as more accurately capture socio-economic disadvantage. Here we argue that there is a role for primary care in screening for social needs to help address inequalities.Social needs screening, more commonly used in North America than Europe, aims to systematically collect social information in health and care settings. Healthcare professionals ask patients about social issues including employment, finances, housing, education and social isolation and this information is used to prompt referral to community services to address any need identified.Social needs screening has potential to address negative impacts of social determinants of health at an individual and population level. Providing a reliable measure of social need, screening gives healthcare professionals an opportunity to tailor and improve quality of care for patients and offer individualised support. It has been shown to improve individual social and health outcomes and positively impact healthcare utilisation. At a population level, social needs screening can improve the data on social determinants of health and therefore support policy makers and service delivery leaders to target resources and services more effectively to the communities most in need. Implementing social needs screening must take account of local healthcare service capacity and available community resources but where sustainable, effective programmes can be introduced, the potential benefits are manifold.While primary care alone cannot solve the root causes of health inequalities, we argue it could be a powerful actor in the fight for health equity.

Gender differences in the relationship between income inequality and health in China: Evidence from the China Health and Nutrition Survey data

This study examines gender differences in the relationship between income inequality and health in China. Multilevel regression models were used to analyse data from the most recent five waves (2004–2015) across 12 provinces in the China Health and Nutrition Survey (CHNS). The findings remain robust when considering alternative measures of health outcomes and income inequality. Men showed greater sensitivity to income inequality in terms of adverse health outcomes. When individuals experienced the same level of changes in income inequality, men had a higher risk of reporting poor health status, higher BMI, higher systolic blood pressure, and a higher risk of smoking cigarettes and drinking alcohol than women. Despite missing data and causal inference challenges, this study highlights gender differences in the relationship between income inequality and health in China, potentially attributed to cultural gender norms. Double standards regarding weight and health-compromising behaviours based on gender roles and stereotypes are more intensive in China, particularly in areas with higher income inequality. One policy implication of this study is that reducing income inequality could enhance individual health outcomes, with a more notable impact on men's health compared to women's.

Trends in food and nutrition literacy in obesity: A bibliometric analysis

Background Low food and nutrition literacy is a significant factor in obesity prevalence, adversely impacting economic and individual health outcomes, with limited research impeding effective public health interventions. Objectives This study seeks to provide a comprehensive overview of scientific research conducted over the past three decades on food and nutrition literacy in relation to obesity. The objective is to evaluate the thematic focus of studies in this domain. Methods A bibliometric analysis methodology, known as a quantitative technique, was employed to investigate scientific studies published in the Web of Science database between 1995 and 2023. The analysis, conducted using the Bibliometrix library in R StudioIDE, considers key variables such as publication year, authorship, countries of origin, high-impact journals, citations, collaborations, and keywords. Results The research encompasses 755 articles, revealing a notable surge in publications post-2007. Remarkably, studies predominantly concentrate on the food and nutrition literacy of children and adolescents. The most cited author is Velardo, whose 2015 article focuses on defining nutritional literacy. The total number of publications from the 10 countries with the most productive authors in this field is 590, accounting for 78.15% of the dataset. The integration of digital media tools among this demographic has sparked innovative research trends. Conclusions Analysis of the data underscores a shortage of research in the literature, emphasizing the need for future studies to prioritize investigating the connection between food and nutrition literacy and obesity in children and adolescents. Bridging this knowledge gap is imperative for developing effective strategies to address and mitigate the obesity epidemic in these specific age groups.

The C2DREAM framework: Investigating the structural mechanisms undergirding racial health inequities.

Racism shapes the distribution of the social determinants of health (SDoH) along racial lines. Racism determines the environments in which people live, the quality of housing, and access to healthcare. Extensive research shows racism in its various forms negatively impacts health status, yet few studies and interventions seriously interrogate the role of racism in impacting health. The C2DREAM framework illuminates how exposure to racism, in multiple forms, connects to cardiovascular disease, hypertension, and obesity. The goal of the C2DREAM framework is to guide researchers to critically think about and measure the role of racism across its many levels of influence to better elucidate the ways it contributes to persistent health inequities. The conceptual framework highlights the interconnectedness between forms of racism, SDoH, and the lifecourse to provide a greater context to individual health outcomes. Utilizing this framework and critically contending with the effects of racism in its multiple and cumulative forms will lead to better research and interventions.

A Children's Rights Framework for Genomic Medicine: Newborn Screening as a Use Case.

The year 2023 marked the 60th anniversary of screening newborns in the United States for diseases that benefit from early identification and intervention. All around the world, the goal of NBS is to facilitate timely diagnosis and management to improve individual health outcomes in all newborns regardless of their place of birth, economic circumstances, ability to pay for treatment, and access to healthcare. Advances in technology to screen and treat disease have led to a rapid increase in the number of screened conditions, and innovations in genomics are expected to exponentially expand this number further. A system where all newborns are screened, coupled with rapid technological innovation, provides a unique opportunity to improve pediatric health outcomes and advance children's rights, including the unique rights of sick and disabled children. This is especially timely as we approach the 100th anniversary of the 1924 Geneva Declaration of the Rights of the Child, which includes children's right to healthcare, and the 1989 United Nations Convention on the Rights of the Child that expanded upon this aspect and affirmed each child's right to the highest attainable standard of health. In this manuscript, we provide background on the evolving recognition of the rights of children and the foundational rights to healthcare and non-discrimination, provide two examples that highlight issues to access and equity in newborn screening that may limit a child's right to healthcare and best possible outcomes, detail ways the current approach to newborn screening advances the rights of the child, and finally, propose that the incorporation of genomics into newborn screening presents a useful case study to recognize and uphold the rights of every child.

RE-AIM implementation outcomes and service outcomes: what’s the connection? results of a cross-sectional survey

BackgroundImplementation science and health services outcomes research each focus on many constructs that are likely interrelated. Both fields would be informed by increased understanding of these relationships. However, there has been little to no investigation of the relationships between implementation outcomes and service outcomes, despite general acknowledgement that both types of outcomes are important in the pathway to individual and population health outcomes. Given the lack of objective data about the links between implementation and service outcomes, an initial step in elucidating these relationships is to assess perceptions of these relationships among researchers and practitioners in relevant fields. The purpose of this paper is to assess perceived relationships between Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework outcomes and service outcomes, testing five a priori hypotheses about which perceived relationships may be strongest.MethodsA cross-sectional online survey was administered to a convenience sample of implementation scientists, health services researchers, and public health and medical practitioners from a variety of settings. Respondents provided information on their discipline, training, practice and research settings, and levels of experience in health service outcomes research, implementation science, and the RE-AIM framework. Next, they rated perceived relationships between RE-AIM and service outcomes. Repeated measures analysis of variance were used to test a priori hypotheses. Exploratory analyses assessed potential differences in mean ratings across groups of respondents categorized by discipline, setting, and levels of implementation science, health services, and RE-AIM experience.ResultsSurveys were completed by 259 respondents, most of whom were employed in academic and medical settings. The majority were doctoral-level researchers and educators or physicians. Reported levels of experience with implementation research, health services research, and the RE-AIM framework varied. The strongest perceived relationships overall were between Implementation/Fidelity and Effectiveness (as a service outcome); Maintenance and Efficiency; Reach and Equity; Adoption and Equity; Implementation/Adaptation and Patient-Centeredness; Adoption and Patient-Centeredness; and Implementation/Fidelity and Safety. All but one of the a priori hypotheses were supported. No significant differences in ratings of perceived relationships were observed among subgroups of respondents.ConclusionsThis study is an initial step in developing conceptual understanding of the links between implementation outcomes, health services outcomes, and health outcomes. Our findings on perceived relationships between RE-AIM and services outcomes suggest some areas of focus and identify several areas for future research to advance both implementation science and health services research toward common goals of improving health outcomes.

The implementation, use and impact of patient reported outcome measures in value-based healthcare programmes: A scoping review.

Value-Based Healthcare (VBHC) focuses on the value of patient outcomes and is achieved by ensuring resources already available are managed to realise the best possible individual and population health outcomes. Patient reported outcome measures (PROMs) measure the impact of illnesses from the patient perspective. We conducted a scoping review to understand how PROMs were implemented and used, and their impact in the context of VBHC. Arksey and O'Malley's overarching framework supplemented by principles from mixed-methods Framework Synthesis were used. CINAHL, Cochrane Library, EMBASE, MEDLINE, PsycINFO, Web of Science, Google Scholar and reference lists were searched. An a priori data extraction framework was created using the review question and objectives as key domains against which to extract data. Mixed-methods data were organised, integrated and preserved in original format and reported for each domain. Forty-three studies were included with 60,200 participants. Few studies reported a well-developed programme theory and we found little robust evidence of effect. PROMs were universally considered to have the potential to increase patient satisfaction with treatment and services, enhance patient awareness of symptoms and self-management, and improve health outcomes such as quality of life and global health status. Evidence is currently limited on how PROMs work and how best to optimally implement PROMs to achieve the target outcome. Implementation challenges commonly prevented the realisation of optimal outcomes and patients generally needed better and clearer communication about why PROMs were being given and how they could optimally be used to support their own self-management. PROMSs have yet to demonstrate their full potential in a VBHC context. Optimal PROMs implementation is poorly understood by clinicians and patients. Future studies should explore different models of PROM implementation and use within VBHC programmes to understand what works best and why for each specific context, condition, and population.

Healthy lives and well-being for all at all ages: expanding representations of determinants of health within systems dynamics and integrated assessment models

Integrated Assessment Models (IAMs) and System Dynamic Models (SDMs) are starting to incorporate representations of the impact of environmental changes on health and socio-economic development into their modelling frameworks. We use this brief review to provide an overview of how health and well-being are currently represented in IAMs and SDMs. A grey literature search on 12 selected model host websites and their corresponding Wiki pages was conducted. Model descriptions, coverage and publications were then tabulated. Additional potential determinants related to health were then suggested based on emerging environmental health literature. Based on these tabulations, it was determined that many individual health outcomes are not represented and thus not analyzed. Social well-being is not represented at all. Additionally, potentially health relevant determinants such as chemical or metal exposure and water pollution are rarely represented in models. Most models have representations of climate, outdoor air pollution and food availability. Air pollution was the most analyzed determinant, especially in relation to its respiratory effects. We suggest that future modelers incorporate more representations of environmental determinants influencing health, and to analyze all available determinants in relation to a wider array of health outcomes. Perhaps, if and when broader determinants of health are represented in IAMs and SDMs, then a composite of these determinants could be used to determine a population’s ability to achieve elements that also contribute to social well-being.