Relevant Population Research Articles

Goods that people buy but wish did not exist

Abstract People buy some goods that they do not enjoy and wish did not exist. They might even be willing to pay a great deal for such goods, whether the currency involves time, commitment or money. One reason involves signaling to others; so long as the good exists, nonconsumption might give an unwanted signal to friends or colleagues. Another reason involves self-signaling; so long as the good exists, nonconsumption might give an unwanted signal to an agent about himself or herself. Yet another reason involves a combination of network effects and status competition; nonconsumption might deprive people of the benefits of participating in a network and thus cause them to lose relative position. With respect to real-world goods (including activities) of this kind, there is typically heterogeneity in relevant populations, with some people deriving positive utility from goods to which other people are indifferent, or which other people deplore. Efforts to measure people's willingness to pay for goods of this kind will suggest a welfare gain, and possibly a substantial one, even though the existence of such goods produces a welfare loss, and possibly a substantial one. Collective action, private or public, is necessary to eliminate goods that people consume but wish did not exist. Legal responses here might be contemplated when someone successfully maneuvers people into a situation in which they are incentivized to act against their interests, by consuming a product or engaging in an activity they do not enjoy, in order to avoid offering an unwanted signal. Prohibitions on waiving certain rights might be justified in this way; some restrictions on uses of social media, especially by young people, might be similarly justified.

Meta-Analysis of Incidence and Mortality of Firefighter Cancer: An Update on Emerging Science.

Firefighters are faced with a broad range of toxic exposures during their work, including known and suspected carcinogens. The current study is an update to the previously published meta-analysis of cancer risk among firefighters by Soteriades and colleagues, and focuses on studies published from 2008 to 2020. A comprehensive search of the literature was conducted, including electronic databases and bibliographies of recently published papers. Analyses include stratification of studies conducted in the United States (US) versus other countries. Cancer incidence and mortality rates were compared to the relevant general population. Random effects models were used to calculate summary risk estimates and their 95% confidence intervals. A total of 24 studies were included in the meta-analysis. Among the 42 cancer types covered, incidence was associated with firefighting in US samples for colon, kidney, large intestine, pleura, and prostate cancer, as well as malignant melanoma. There was an increased incidence of Hodgkin's Disease and malignant melanoma and a significantly lower risk of kidney cancer for non-US samples. Significant cancer mortality estimates for US samples included oral/buccal/mouth, other parts of the buccal cavity, pharynx, colon, esophagus, large intestine, lung, Non-Hodgkin's Lymphoma, pancreas, pleura, rectum, and soft tissue sarcoma. No cancer had a significantly higher rate of mortality among non-US samples. The findings underscore the global cancer burden among firefighters, and indicate that geographically stratifying studies afford a more nuanced risk perspective. Further research should investigate why US firefighters exhibit higher cancer mortality rates compared to international counterparts.

A Protocol for Evaluating Digital Technology for Monitoring Sleep and Circadian Rhythms in Older People and People Living with Dementia in the Community.

Sleep and circadian rhythm disturbance are predictors of poor physical and mental health, including dementia. Long-term digital technology-enabled monitoring of sleep and circadian rhythms in the community has great potential for early diagnosis, monitoring of disease progression, and assessing the effectiveness of interventions. Before novel digital technology-based monitoring can be implemented at scale, its performance and acceptability need to be evaluated and compared to gold-standard methodology in relevant populations. Here, we describe our protocol for the evaluation of novel sleep and circadian technology which we have applied in cognitively intact older adults and are currently using in people living with dementia (PLWD). In this protocol, we test a range of technologies simultaneously at home (7-14 days) and subsequently in a clinical research facility in which gold standard methodology for assessing sleep and circadian physiology is implemented. We emphasize the importance of assessing both nocturnal and diurnal sleep (naps), valid markers of circadian physiology, and that evaluation of technology is best achieved in protocols in which sleep is mildly disturbed and in populations that are relevant to the intended use-case. We provide details on the design, implementation, challenges, and advantages of this protocol, along with examples of datasets.

Method for early ignition detection based on the sampling dispersion of dangerous parameter

The object of the study is the selective dispersion of dangerous parameters of the gas environment during material fires. The practical importance of research consists in using the difference of sample dispersions of dangerous parameters of the gas environment on the intervals of absence and presence of ignition of materials for detection of ignition. The theoretical substantiation of the method of detecting fires in premises based on sample dispersions of current measurements of an arbitrary dangerous parameter of the gas environment, corresponding to the general populations of reliable absence and presence of fire, has been carried out. The method, at a given level of significance, determines the unbiased uniformly most powerful fire detection rule. This makes it possible to determine how much differences in sample variances are significant with a given level of significance and are caused by ignition or are random factors. Laboratory experiments were conducted to verify the proposed method. It was established that the influence of ignition on the value of the difference in the sample dispersion at the corresponding intervals of monitoring the carbon monoxide concentration, smoke density, and temperature of the gaseous environment of the laboratory chamber is different and depends on the type of ignition material. At the same time, the minimum difference of the sample dispersions is characteristic for observing the smoke density for all the studied materials. However, early detection of ignition of alcohol, paper, wood, and textiles when observing the smoke density is carried out when the threshold is exceeded by 9.01, 5.31, 2.13 and 2.55 times, respectively. It is shown that the method of early detection of fires, which is based on the detection of significant differences in sample dispersions of data from the relevant general populations

Interpretation of a paint cross-transfer on a burglary scene – A case report

In forensic paint examination, paint traces retrieved on a crime scene are regularly compared to painted objects seized from a suspect. Less often, traces are only observed on the seized objects and compared to a damaged painted object on the crime scene. In some specific cases, paint traces may be found both on the crime scene and on one or multiple seized painted objects. The latter may be the result of a cross-transfer that occurred during the illicit act. However, mere coincidence is another possible explanation for these observations and may not be neglected. Proper consideration of the relevant populations and sufficient analytical data permits the evaluation of the results given activity level propositions. This allows the forensic expert to present a transparent and well-balanced statement on the value of their findings concerning the disputed issues in court.

Acceptability of Using Real-World Data to Estimate Relative Treatment Effects in Health Technology Assessments: Barriers and Future Steps

ObjectivesEvidence about the comparative effects of new treatments is typically collected in randomized controlled trials (RCTs). In some instances, RCTs are not possible, or their value is limited by an inability to capture treatment effects over the longer term or in all relevant population subgroups. In these cases, nonrandomized studies (NRS) using real-world data (RWD) are increasingly used to complement trial evidence on treatment effects for health technology assessment (HTA). However, there have been concerns over a lack of acceptability of this evidence by HTA agencies. This article aims to identify the barriers to the acceptance of NRS and steps that may facilitate increases in the acceptability of NRS in the future. MethodsOpinions of the authorship team based on their experience in real-world evidence research in academic, HTA, and industry settings, supported by a critical assessment of existing studies. ResultsBarriers were identified that are applicable to key stakeholder groups, including HTA agencies (eg, the lack of comprehensive methodological guidelines for using RWD), evidence generators (eg, avoidable deviations from best practices), and external stakeholders (eg, data controllers providing timely access to high-quality RWD). Future steps that may facilitate future acceptability of NRS include improvements in the quality, integration, and accessibility of RWD, wider use of demonstration projects to highlight the value and applicability of nonrandomized designs, living, and more detailed HTA guidelines, and improvements in HTA infrastructure relating to RWD. ConclusionNRS can represent a crucial source of evidence on treatment effects for use in HTA when RCT evidence is limited.

Bridging the gap: Implementation science, knowledge translation, and innovation for advancing maternal health sustainable development goals

Background: Maternal health remains a critical global concern, with sustainable development goal 3 aiming to reduce the maternal mortality ratio and ensure universal access to reproductive healthcare by 2030. According to a 2023 report, a woman dies from preventable causes related to pregnancy and childbirth every 2 minutes, and almost 70% of maternal deaths occur in sub-Saharan Africa. The reduction of maternal mortality and promotion of maternal health and well-being are complex tasks. Objective: To understand how a synergistic approach integrating complex interventions’ research, implementation science principles, knowledge translation, and innovative solutions can be leveraged to achieve sustainable improvements in maternal health outcomes in different contexts. Methods: This study employed sequential and iterative critical interpretive synthesis (CIS), integrative literature (ILR) review with multiscale analysis of extant literature on maternal health starting with the landmark Lancet series on “Maternal Survival” 2006 (5 papers); 2016 “Maternal Health” series (6 papers); the 2023 Series – “Maternal health in Perinatal period and Beyond” (4 papers); and health sector strategic plans. Results: Despite knowledge that healthcare is a complex adaptive system (CAS), whereas interventions for maternal health are considered complex interventions, the predominant implementation approaches assume a linear cause-effect approach, leading to the observed stagnation in maternal health. Conclusion: The effectiveness of complex interventions and their success in reaching relevant populations is critically influenced by their implementation in each context. A linear understanding of evidence translation, from ‘bench to bedside’, is naïve. This is because those who deliver, manage, and receive healthcare, negotiate multiple forms and sources of evidence, which complement and compete within a complex system of institutional logics.

PROTAC-mediated NR4A1 degradation as a novel strategy for cancer immunotherapy.

An effective cancer therapy requires killing cancer cells and targeting the tumor microenvironment (TME). Searching for molecules critical for multiple cell types in the TME, we identified NR4A1 as one such molecule that can maintain the immune suppressive TME. Here, we establish NR4A1 as a valid target for cancer immunotherapy and describe a first-of-its-kind proteolysis-targeting chimera (PROTAC, named NR-V04) against NR4A1. NR-V04 degrades NR4A1 within hours in vitro and exhibits long-lasting NR4A1 degradation in tumors with an excellent safety profile. NR-V04 inhibits and frequently eradicates established tumors. At the mechanistic level, NR-V04 induces the tumor-infiltrating (TI) B cells and effector memory CD8+ T (Tem) cells and reduces monocytic myeloid-derived suppressor cells (m-MDSC), all of which are known to be clinically relevant immune cell populations in human melanomas. Overall, NR-V04-mediated NR4A1 degradation holds promise for enhancing anticancer immune responses and offers a new avenue for treating various types of cancers such as melanoma.

Beyond Population-Level Targets for Drug Concentrations: Precision Dosing Needs Individual-Level Targets that Include Superior Biomarkers of Drug Responses.

The purpose of precision dosing is to increase the chances of therapeutic success in individual patients. This is achieved in practice by adjusting doses to reach precision dosing targets determined previously in relevant populations, ideally with robust supportive evidence showing improved clinical outcomes compared with standard dosing. But is this implicit assumption of translatable population-level precision dosing targets correct and the best for all patients? In this review, the types of precision dosing targets and how they are determined are outlined, problems with the translatability of these targets to individual patients are identified, and ways forward to address these challengers are proposed. Achieving improved clinical outcomes to support precision dosing over standard dosing is currently hampered by applying population-level targets to all patients. Just as "one-dose-fits-all" may be an inappropriate philosophy for drug treatment overall, a "one-target-fits-all" philosophy may limit the broad clinical benefits of precision dosing. Defining individual-level precision dosing targets may be needed for greatest therapeutic success. Superior future precision dosing targets will integrate several biomarkers that together account for the multiple sources of drug response variability.

Research on the Construction of Rural Population Stock in Wenzhou from the Perspective of Rural Revitalization

This study takes the rural population of Wenzhou City as the research object, combined with the national strategy of rural revitalization, unifies the improvement of Wenzhou's rural population stock construction with the national development goals, and supports the construction and development of Wenzhou's rural population quality improvement. Through comprehensive analysis of the current situation and changes in the construction of rural population stock in Wenzhou, and through sorting and analyzing relevant Wenzhou population census data, conduct on-site research in Wenzhou villages, and conduct detailed research on the construction of rural population stock. On the basis of research, combined with the current stage of rural population stock construction in Wenzhou, this paper analyzes the many problems in the quality of rural population in Wenzhou, analyzes their root causes, and proposes a path to enhance the construction of rural population stock in Wenzhou through rural revitalization strategy.

Predictions about reward outcomes in rhesus monkeys.

Human infants and nonhuman animals respond to surprising events by looking longer at unexpected than expected situations. These looking responses provide core cognitive evidence that nonverbal minds make predictions about possible outcomes and detect when these predictions fail to match reality. We propose that this phenomenon has crucial parallels with the processes of reward prediction error, indexing the difference between expected and actual reward outcomes. Most work on reward prediction errors to date involves neurobiological techniques that cannot be implemented in many relevant populations, so we developed a novel behavioral task to assess monkeys' predictions about reward outcomes using looking time responses. In Study 1, we tested how semi-free-ranging monkeys (n = 210) responded to positive error (more rewards than expected), negative error (less rewards than expected), and a number control. We found that monkeys looked longer at a given reward when it was unexpectedly large or small, compared to when the same quantity was expected. In Study 2, we compared responses in the positive error condition in monkeys ranging from infancy to old age (n = 363), to assess lifespan changes in sensitivity to reward predictions. We found that adolescent monkeys showed heightened responses to unexpected rewards, similar to patterns seen in humans, but showed no changes during aging. These results suggest that monkeys' looking responses can be used to track their predictions about rewards, and that monkeys share some developmental signatures of reward sensitivity with humans, providing a new approach to access cognitive processes underlying reward-based decision making. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Generation of a Commercial-Scale Founder Population of Porcine Reproductive and Respiratory Syndrome Virus Resistant Pigs Using CRISPR-Cas.

Disease resistance genes in livestock provide health benefits to animals and opportunities for farmers to meet the growing demand for affordable, high-quality protein. Previously, researchers used gene editing to modify the porcine CD163 gene and demonstrated resistance to a harmful virus that causes porcine reproductive and respiratory syndrome (PRRS). To maximize potential benefits, this disease resistance trait needs to be present in commercially relevant breeding populations for multiplication and distribution of pigs. Toward this goal, a first-of-its-kind, scaled gene editing program was established to introduce a single modified CD163 allele into four genetically diverse, elite porcine lines. This effort produced healthy pigs that resisted PRRS virus infection as determined by macrophage and animal challenges. This founder population will be used for additional disease and trait testing, multiplication, and commercial distribution upon regulatory approval. Applying CRISPR-Cas to eliminate a viral disease represents a major step toward improving animal health.

24 Social Networking Platform

Abstract: The Internet has connected many of the devices in the world. By the end of 2015, we already had 9 billion connected things. And some predict that by 2020, the number of Internet-connected things will reach or even exceed 50 billion. Productive 24 Social Media application is an integration of social networking Platform. It majorly focuses on the freelancer business growth and their development where the fresh faces in the world of business can sell their talent in the form of art, dance, singing, photography, etc. to the relevant customer population by the means of our application and online transactional procedure. Twenty-FourPlatform is built on Firebase database using VS Code, Java, and Android Studio for the structural and design part of the main application. The content from users they have subscribed to will be visible in the subscribed tab and categories they have subscribed to will be visible in the feed tab. Companies are increasingly using online communities to create value for the firm and their customers. Ensuring that brand activity is relevant to a social net work’s core audience is crucial for advertisers wanting to tap into niche communities It is a concept derived from the drawbacks of different application with the motive to combine theirrespective function. This Application will serve them as agood place to share good work and a place where their work will be appreciated by the people

The 2020 immunization programme landscape: Piloting an assessment metric to evaluate the maturity of national immunization programmes across the life course

BackgroundThe World Health Organization (WHO) encourages countries to provide appropriate vaccinations for children, adolescents, and relevant adult populations. Childhood programme have been the focus of global investments, but recent pandemics have increasingly demonstrated the value of life course vaccination. Our objective is to compare national life course immunization programmatic maturity prior to mass COVID-19 vaccine introduction, the largest adult vaccination programme, globally. As coverage estimates (typically used to assess childhood programmes) are not available for adult vaccinations, this analysis pilots a standardized quantitative metric of programmatic maturity. MethodsThrough consultation with vaccination experts, we developed a standardized approach to assess national immunization programme maturity across the life course. In accordance with expert input, five vaccines were selected to represent delivery across the life course: diphtheria tetanus toxoid and pertussis (DTP); measles (MCV) second dose; human papillomavirus (HPV) final dose; pneumococcal conjugate (PCV) final dose; and seasonal influenza annual dose. Experts recommended inclusion of the following indicators for each vaccine: a legal mandate (national policy), experience delivering the vaccine (programme duration), and vaccine use (uptake for relevant populations). We developed a metric accordingly that provides up to 5 points per vaccine (“vaccine specific maturity score”) which when summed forms the “life course maturity score”, with a maximum score of 25. We analysed the prevalence of national policies, experience, and use by region and World Bank income group. ResultsMore than 55% of the 194 WHO Member States had childhood vaccine policies for all three of the vaccines considered (DTP, MCV, and PCV) compared to 60% for HPV (proxy for adolescent vaccination programme) and 52% for seasonal influenza (proxy for adult vaccination programme). Childhood vaccination programmes (e.g., MCV and DTP) had the highest vaccine specific maturity scores, while seasonal influenza and HPV vaccination programmes had much lower scores. The national life course maturity scores ranged from 1 to 23, with a global median of 12 (IQR: 8; 16). DiscussionThe piloted metric provides an overview of the maturity of life course immunization programmes. The metric is structured to be a flexible, rapid resource that can be used to assess other combinations of vaccines across the life course. The findings from this paper provide a baseline of immunization programme maturity for childhood, adolescent, and adult vaccination programmes immediately prior to the COVID-19 vaccine introduction. This maturity score, or adaptations of this approach, could be used to monitor the trajectory of national immunization programme maturity across the life course in the years ahead.

Evaluating the efficiency of medical care for children with diabetes mellitus in different regions of Ukraine over the past 20 years (2002–2021) of peacetime

Background. The growing number of children with diabetes creates a global economic problem, including a financial burden on the country’s health care system and economic stress for families of children with diabetes. The purpose was to assess the effectiveness of medical care for children with diabetes in different regions of Ukraine over the last 20 years (2002–2021) of peacetime. Material and methods. The article presents the results of statistical evaluation and epidemiological analysis of data from the Center for Medical Statistics of the Ministry of Health of Ukraine on the rates of disability, hospitalization, and inpatient care among the pediatric population in 2002–2021. Statistical processing of the results was carried out using MS Excel, XLSTAT-Pro. Results. During 2002–2021, an increase in the rate of primary disability due to diabetes mellitus was highest among adolescents — by 4.1 times and lowest among primary schoolchildren — by 3.4 times; among children 0–6 years old, it increased by 3.6 times. The proportion of children with disabilities due to diabetes as of 2017 is 12 % among the age group of 0–6 years, and 25 % in adolescents (15–17 years). In 2013–2021, the hospitalization rate among children with diabetes increased from 1.27 to 1.35 per 1,000 of the relevant population, and the average length of hospital stay decreased by 19 %. The rate of mortality due to diabetes complications among hospitalized children varies and does not have a specific trend (in 2021, it was 0.02 per 100 in-patients). Conclusions. The analysis of the efficiency of medical care for children with diabetes during 2002–2021 in the context of increasing prevalence and incidence of diabetes showed stable trends towards a huge increase in the level of primary and general disability, a slight increase in hospitalization rates, and a decrease in the average length of hospital stay. These results call for a detailed study of the causes, control, and revision of protocol documents for the management of such patients.

The Role of Education and Skills in Increasing Women's Participation in Population Policy

Women’s participation in population policy has an important role to play in achieving the sustainable development goals. Education and skills are key factors influencing women’s participation rates in population policy. This study aims to explore the role of education and skills in increasing women’s participation in population policy and analyze its impact on sustainable development. This research method uses a qualitative approach by conducting a literature review and analysis of relevant population policies as well as several interviews. Data collection is carried out through literature studies, government reports, and related policy documents. The results show that education has an important role in increasing access to information and knowledge needed in decision-making related to population policy. In addition, education also provides the skills and abilities needed to be actively involved in the process of planning and implementing population policy. In addition to education, skills also have a significant role in increasing women’s participation in population policy. Effective communication and leadership are essential in influencing the successful implementation of population policy. Therefore, education and skills have an important role in increasing women’s participation in the population policy. To achieve sustainable development, it is important to strengthen the efforts to improve women’s access to relevant education and skills training, and strong and inclusive policy support measures also need to be provided to encourage women’s participation in decision-making related to population policy.
 Keywords: the role of education, skills, women’s participation, population policy

Effect of dietary fibre on cognitive function and mental health in children and adolescents: a systematic review and meta-analysis.

Objective: The purpose of this study is to investigate the impact of dietary fibre on the mental health and cognitive function of children and adolescents. Methods: All interventional and observational studies that contained information on the relevant population (children and adolescents), intervention/exposures (high dietary fibre consumption) and outcomes (mental and cognitive parameters) were eligible. Eight electronic databases (Embase, Medline, Pubmed, Web of Science, Scopus, PsycINFO, Cochrane Library and ClinicalTrials.gov) were searched up to December 11, 2023. Results: A total of 15 studies (n = 4628) met inclusion criteria, consisting of 9 intervention trials and 6 observational studies. According to observational studies, higher dietary fibre consumption was associated with a 49% reduction in the odds of depression compared to lower intake (P < 0.0001; OR = 0.51; 95% CI: 0.38, 0.69; I2 = 0%). Furthermore, no significant correlations were found between dietary fibre consumption and intelligence or anxiety. Among intervention studies, no significant difference was observed between fibre supplementation and placebo in terms of anxiety (standardized mean difference (SMD): -0.23; 95% CI: -0.72, 0.27), stress (SMD: 0.03; 95% CI: -0.21, 0.28), memory (SMD: 0.46; 95% CI: -0.79, 1.71), or attention (SMD: -2.72; 95% CI: -6.30, 0.86). Conclusion: Evidence from observation studies demonstrated that higher dietary fibre consumption is associated with a decreased odds of depression symptoms, both in childhood and adolescence. However, the causal relationship between dietary fibre intake and mental and cognitive function in children and adolescents still requires further clarification through high-quality intervention studies in the future.

Benefits, costs and enabling conditions to achieve ‘water for all’ in rural and remote Australia

Australia will not meet Sustainable Development Goal target 6.1, to “achieve universal and equitable access to safe and affordable drinking water for all” by 2030, unless water service provision is improved to hundreds of small (less than 10,000 residents), rural and remote (SRR) communities. We have estimated the national benefits of a programme to upgrade drinking water services to ensure ‘good quality’ for 395 Australian SRR communities using a stated preference survey of 3,523 participants reflective of the Australian population. Using multiple model estimates, we calculated the willingness to pay at between AU$324 and AU$847 per Australian household per year for 10 years. Aggregating across the relevant Australian population, we calculated the aggregate willingness to pay for water quality improvements at AU$1.2–4.7 billion yr−1, or AU$8.3–33.2 billion as a 10-year net present value. We further estimated the capital and operating costs to provide ‘good-quality’ drinking water in the 395 SRR communities under three scenarios; the costs range from AU$0.51 to AU$3.29 million per community and, in total, from AU$0.2 billion to AU$1.3 billion.

Epidemiological assessment of diabetes mellitus in children of Ukraine during the last 20 years (2002-2021) of peacetime.

Nowadays, there is a global trend towards an increase in the prevalence and incidence of diabetes mellitus, including among children, which is a significant health problem in many countries. The analysis of data on diabetes among children is important for training medical personnel and planning preventive measures. The aim is to determine the trends in the prevalence and incidence of diabetes mellitus, as well as the gender and age structure among the paediatric population of different regions of Ukraine over the last 20 years (2002-2021) of peacetime. The results of statistical evaluation and epidemiological analysis of the data of the Centre for Medical Statistics of the Ministry of Health of Ukraine on the prevalence and incidence of diabetes mellitus among children during 2002-2021 are presented. Statistical processing of the results was carried out using MS Excel (Microsoft Corporation, USA), XLSTAT-Pro (Addinsoft, USA). According to the Ministry of Health of Ukraine, as of 2021, 11,193 children aged 0-17 years inclusive with diabetes mellitus were registered, which is 15.0 cases per 10 thousand of the relevant population. Compared to 2002, the prevalence and incidence rates increased by 93% and 80%, respectively; the fastest rates were among children aged 0-6 years, and the lowest among adolescents aged 15-17 years. In 2021, the highest incidence of diabetes among infants over the past 15 years was recorded (0.05 per 1000 of the relevant population). In Ukraine, over the past 20 years (2002-2021) of peacetime, there has been an annual gradual increase in the prevalence and incidence of diabetes mellitus among children in all age groups with gender balance, which generally corresponds to the global trend.

Implementation of MyChart for recruitment at an academic medical center

Abstract Introduction: Recruitment of participants into research studies remains a major concern for investigators. Using clinical teams to identify potentially eligible patients can present a significant barrier. To overcome this, we implemented a process for using our patient portal, called MyChart, as a new institutional recruitment option utilizing our electronic health record’s existing functionality. Methods: To streamline the institutional approval process, we established a working group comprised of representatives from human subject protection, information technology, and privacy and vetted our process with many stakeholder groups. Our specific process for study approval is described and started with a consultation with our recruitment and retention function funded through our Clinical and Translational Science Award. Results: The time from consultation to the first message(s) sent ranged from 84 to 442 days and declined slightly over time. The overall patient response rate to MyChart messages about available research studies was 23% with one third of those saying they were interested in learning more. The response rate for Black and Hispanic patients was about 50% that of White patients. Conclusions: Many different types of studies from any medical specialty successfully identified interested patients using this option. Study teams needed support in defining appropriate inclusion/exclusion criteria to identify the relevant population in the electronic health records and they needed assistance writing study descriptions in plain language. Using MyChart for recruitment addressed a critical barrier and opened up the opportunity to provide a full recruitment consultation to identify additional recruitment channels the study teams would not have considered otherwise.