Performance comparison between multi-level gene expression data in cancer subgroup classification.

Cancer is a serious disease that can affect various parts of the body such as breast, colon, lung or stomach. Each of these cancers has their own treatment dependent historical subgroups. Hence, the correct identification of cancer subgroup has almost same importance as the timely diagnosis of cancer. This is still a challenging task and a system with highest accuracy is essential. Current researches are moving towards analyzing the gene expression data of cancer patients for various purposes including biomarker identification and studying differently expressed genes, using gene expression data measured in a single level (selected from different gene levels including genome, transcriptome or translation). However, previous studies showed that information carried by one level of gene expression is not similar to another level. This shows the importance of integrating multi-level omics data in these studies. Hence, this study uses tumor gene expression data measured from various levels of gene along with the integration of those data in the subgroup classification of nine different cancers. This is a comprehensive analysis where four different gene expression data such as transcriptome, miRNA, methylation and proteome are used in this subgrouping and the performances between models are compared to reveal the best model.

Quantitative risk assessment for the introduction of bluetongue virus into mainland Europe by long-distance wind dispersal of Culicoides spp.: A case study from Sardinia.

Europe faces regular introductions and reintroductions of bluetongue virus (BTV) serotypes, most recently exemplified by the incursion of serotype 3 in the Netherlands. Although the long-distance wind dispersal of the disease vector, Culicoides spp., is recognized as a virus introduction pathway, it remains understudied in risk assessments. A Quantitative Risk Assessment framework was developed to estimate the risk of BTV-3 incursion into mainland Europe from Sardinia, where the virus has been present since 2018. We used an atmospheric transport model (HYbrid Single-Particle Lagrangian Integrated Trajectory) to infer the probability of airborne dispersion of the insect vector. Epidemiological disease parameters quantified the virus prevalence in vector population in Sardinia and its potential first transmission after introduction in a new area. When assuming a 24h maximal flight duration, the risk of BTV introduction from Sardinia is limited to the Mediterranean Basin, mainly affecting the southwestern area of the Italian Peninsula, Sicily, Malta, and Corsica. The risk extends to the northern and central parts of Italy, Balearic archipelago, and mainland France and Spain, mostly when maximal flight duration is longer than 24h. Additional knowledge on vector flight conditions and Obsoletus complex-specific parameters could improve the robustness of the model. Providing both spatial and temporal insights into BTV introduction risks, our framework is a key tool to guide global surveillance and preparedness against epizootics.

Prosapia bicincta (Hemiptera: Cercopidae) abundance, plant associations, and impacts on groundcover in Hawai'i Island rangelands.

The twolined spittlebug, Prosapia bicincta (Say), is a major economic pest of forage grass and turfgrass. Prosapia bicincta was first detected in rangelands on Hawai'i Island in 2016 and has since spread to an estimated 72,000 ha in the North and South Kona districts. This study aimed to quantify P. bicincta abundance, plant associations, and impacts on groundcover over time. Monthly surveys of P. bicincta nymphs and adults were conducted from February 2018 to September 2022 along 17 established 100-m transects at 4 ranches located in Kona, Hawai'i Island, spanning an elevation gradient from 519 to 1,874 m above sea level (a.s.l.). Monitoring revealed P. bicincta occurs from 519 to 1,679 m a.s.l., primarily in Kikuyu grass (Cenchrus clandestinus (Hochst. ex Chiov.)) Morrone (Poales: Poaceae) pastures. Peaks in P. bicincta abundance coincided with the wet season, with most activity occurring from April to October and little to no activity between November and March. Mid elevation (1,000-1,300 m) transects had significantly higher mean P. bicincta abundance (126 nymphs/m2) relative to low (500-999 m) (64 nymphs/m2) and high elevations (>1,300 m) (20 nymphs/m2). Sites with the highest abundance of P. bicincta were also associated with the greatest decrease in mean grass cover (30%) and were replaced by forbs, bare ground, and shrubs. Grasses accounted for 72% of the total P. bicincta detections, with the remaining plants comprised of legumes (16%), sedges (6%), and forbs (6%). Twenty new P. bicincta plant associations were found. This information will help improve the effectiveness of management to suppress populations below economic thresholds.

Linearity and intermodulation distortion analysis of single and dual metal gate junctionless transistor.

Linearity and intermodulation distortion are very crucial parameters for RFICs design. Therefore, in this work, a detailed comparative analysis on linearity and intermodulation distortion of single metal (SMG) and double metal (DMG) double gate junction less transistor (JLT) is done using TCAD silvaco suite. Furthermore, the effects of temperature fluctuation, gate length variation, and gate material engineering on the linearity performance of both devices are also studied. A few significant figures of merit, including Voltage Intercept Point 2 (VIP2), Voltage Intercept Point 3 (VIP3), Third Order Intercept Power (IIP3), 1 dB Compression Point (P1dB), Third Order Intermodulation Distortion (IMD3), and the transconductance derivative parameters First Order Transconductance (gm1), Second Order Transconductance (gm2), and Third Order Transconductance (gm3) are used to assess the device linearity and intermodulation distortion of SMG and DMG JLT's. The findings show that higher VIP2, VIP3, IIP3, 1-dB compression point and lower gm3, IMD3 values are obtained for the SMG JLT device when compared to its counterpart DMG JLT. SMG JLT, which assures strong linearity and low distortion.

Imaging meningioma biology: Machine learning predicts integrated risk score in WHO grade 2/3 meningioma.

Background: Meningiomas are the most common primary brain tumors. While most are benign (WHO grade 1) and have a favorable prognosis, up to one-fourth are classified as higher-grade, falling into WHO grade 2 or 3 categories. Recently, an integrated risk score (IRS) pertaining to tumor biology was developed and its prognostic relevance was validated in a large, multicenter study. We hypothesized imaging data to be reflective of the IRS. Thus, we assessed the potential of a machine learning classifier for its noninvasive prediction using preoperative magnetic resonance imaging (MRI). Methods: In total, 160 WHO grade 2 and 3 meningioma patients from 2 university centers were included in this study. All patients underwent surgery with histopathological workup including methylation analysis. Preoperative MRI scans were automatically segmented, and radiomic parameters were extracted. Using a random forest classifier, 3 machine learning classifiers (1 multiclass classifier for IRS and 2 binary classifiers for low-risk and high-risk prediction, respectively) were developed in a training set (120 patients) and independently tested in a hold-out test set (40 patients). Results: Multiclass IRS classification had a test set area under the curve (AUC) of 0.7, mostly driven by the difficulties in clearly separating medium-risk from high-risk patients. Consequently, a classifier predicting low-risk IRS versus medium-/high-risk showed a very high test accuracy of 90% (AUC 0.88). In particular, "sphericity" was associated with low-risk IRS classification. Conclusion: The IRS, in particular molecular low-risk, can be predicted from imaging data with high accuracy, making this important prognostic classification accessible by imaging.

Case report: Acute severe hyponatremia-induced seizures in a newborn: a community-acquired case and literature review.

Severe neonatal hyponatremia represents a critical electrolyte imbalance with potentially severe neurological outcomes, a condition rarely documented in community-acquired, full-term newborns. This report underscores a unique case of a 23-day-old, previously healthy, full-term male neonate experiencing severe hyponatremia that precipitated seizures, underscoring the urgency of prompt recognition and intervention. The neonate presented with symptoms including vomiting, groaning, chills, fixed staring, and limb tremors. Critical findings upon admission encompassed hypothermia, hypotension, tachycardia, and tachypnea accompanied by significant weight loss. The clinical presentation was marked by dehydration, lethargy, weak crying, a fixed gaze, irregular breathing, and coarse lung sounds, yet a distended abdomen, hypertonic limb movements, and recurrent seizures were observed. Immediate interventions included establishing IV access, rewarming, mechanical ventilation, seizure management, volume expansion, dopamine for circulatory support, and initiation of empirical antibiotics. Diagnostic evaluations revealed a sodium ion concentration of 105.9 mmol/L, while amplitude-integrated electroencephalography (aEEG) detected pronounced seizure activity characterized by a lack of sleep-wake rhythmicity, noticeable elevation in both the lower and upper amplitude margins, and a sustained decrease in the lower margin voltage dropping below 5 µV, presenting as sharp or serrated waveforms. The management strategy entailed rapid electrolyte normalization using hypertonic saline and sodium bicarbonate, anticonvulsant therapy, and comprehensive supportive care, with continuous aEEG monitoring until the cessation of seizures. Remarkably, by the third day, the neonate's condition had stabilized, allowing for discharge in good health 10 days post-admission. At a 16-month follow-up, the child exhibited no adverse neurological outcomes and demonstrated favorable growth and development. Our extensive review on the etiology, clinical manifestations, aEEG monitoring, characteristics of seizures induced by severe neonatal hyponatremia, treatment approaches, and the prognosis for seizures triggered by severe hyponatremia aims to deepen the understanding and enhance clinical management of this complex condition. It stresses the importance of early detection, accurate diagnosis, and customized treatment protocols to improve outcomes for affected neonates. Additionally, this review accentuates the indispensable role of aEEG monitoring in managing neonates at elevated risk for seizures. Yet, the safety and efficacy of swiftly administering hypertonic saline for correcting severe hyponatremia-induced seizures necessitate further investigation through medical research.

Ureido-Ionic Liquid Mediated Conductive Hydrogel: Superior Integrated Properties for Advanced Biosensing Applications.

Ionic conductive hydrogels (ICHs) have recently gained prominence in biosensing, indicating their potential to redefine future biomedical applications. However, the integration of these hydrogels into sensor technologies and their long-term efficacy in practical applications pose substantial challenges, including a synergy of features, such as mechanical adaptability, conductive sensitivity, self-adhesion, self-regeneration, and microbial resistance. To address these challenges, this study introduces a novel hydrogel system using an imidazolium salt with a ureido backbone (UL) as the primary monomer. Fabricated via a straightforward one-pot copolymerization process that includes betaine sulfonate methacrylate (SBMA) and acrylamide (AM), the hydrogel demonstrates multifunctional properties. The innovation of this hydrogel is attributed to its robust mechanical attributes, outstanding strain responsiveness, effective water retention, and advanced self-regenerative and healing capabilities, which collectively lead to its superior performance in various applications. Moreover, this hydrogel  exhibited broad-spectrum antibacterial activity. Its potential for biomechanical monitoring, especially in tandem with contact and noncontact electrocardiogram (ECG) devices, represents a noteworthy advancement in precise real-time cardiac monitoring in clinical environments. In addition, the conductive properties of the hydrogel make it an ideal substrate for electrophoretic patches aimed at treating infected wounds and consequently enhancing the healing process.

HIV and Substance Use Disorders.

Over 1.2 million Americans aged 13 years and older have been diagnosed with human immunodeficiency virus (HIV). While HIV incidence has been declining since 2017, the risk of HIV acquisition and transmission persists among persons who use drugs via injection drug use and unprotected sexual intercourse associated with substance use. Untreated substance use disorder (SUD) is associated with poor adherence to HIV antiretroviral therapy, poor HIV outcomes, and increased risk for HIV acquisition. Herein, we describe the intertwined syndemic of HIV and SUD, as well as treatment strategies and evidence-based public health efforts to engage and retain persons who use drugs into care.

Terminal-Matched Topological Photonic Substrate-Integrated Waveguides and Antennas for Microwave Systems.

In engineered photonic lattices, topological photonic (TP) modes present a promising avenue for designing waveguides with suppressed backscattering. However, the integration of the TP modes in electromagnetic systems has faced longstanding challenges. The primary obstacle is the insufficient development of high-efficiency coupling technologies between the TP modes and the conventional transmission modes. This dilemma leads to significant scattering at waveguide terminals when attempting to connect the TP waveguides with other waveguides. In this study, a topological photonic substrate-integrated waveguide (TPSIW) is proposed that can seamlessly integrate into traditional microstrip line systems. It successfully addresses the matching problem and demonstrates efficient coupling of both even and odd TP modes with the quasi-transverse electromagnetic modes of microstrip lines, resulting in minimal energy losses. In addition, topological leaky states are introduced through designed slots on the TPSIW top surface. These slots enable the creation of TP leaky-wave antennas with beam steering capabilities. A wireless link based on TPSIWs are further established that enables the transmission of distinct signals toward different directions. This work is an important step toward the integration of TP modes in microwave systems, unlocking the possibilities for the development of high-performance wireless devices.

Wireless Alerts and Data Monitoring from BNNO-MWCNTs/PDMS Composite Film-Based TENG Integrated Inhaler for Smart Healthcare Application.

In recent years, the implementation of energy-harvesting technology in medical equipment has attracted significant interest owing to its potential for self-powered and smart healthcare systems. Herein, the integration of a triboelectric nanogenerator (TENG) is proposed into an inhaler for energy-harvesting and smart inhalation monitoring. For this initially, barium sodium niobium oxide (Ba2NaNb5O15) microparticles (BNNO MPs) are synthesized via a facile solid-state synthesis process. The BNNO MPs with ferroelectricity and high dielectric constant are incorporated into polydimethylsiloxane (PDMS) polymer to make BNNO/PDMS composite films (CFs) for TENG fabrication. The fabricated TENG is operated in a contact-separation mode, and its electrical output performance is compared to establish the optimal BNNO MPs concentration. Furthermore, multi-wall carbon nanotubes (MWCNTs), a conductive filler material, are used to enhance the electrical conductivity of the CFs, thereby improving the electrical output performance of the TENG. The robustness/durability of the proposed BNNO-MWCNTs/PDMS CF-based TENG are investigated. The proposed TENG device is demonstrated to harvest electrical energy from mechanical motions via regular human activities and power portable electronics. The TENG is integrated into the inhaler casing to count the number of sprays remaining in the canister, send the notification to a smartphone via Bluetooth, and harvest energy.

Tissue characteristics of residual lesion in patients with acute coronary syndrome caused by plaque rupture versus plaque erosion: a single-center, retrospective, observational study.

Patients with acute coronary syndrome (ACS), frequently caused by plaque rupture (PR), often have vulnerable plaques in residual lesions as well as in culprit lesions. However, whether this occurs in patients with plaque erosion (PE) as well is unknown. We retrospectively analyzed the data of 88 patients with ACS who underwent both optimal coherence tomography (OCT) and intravascular ultrasound (IVUS). Based on plaque morphology of the culprit lesions identified using OCT, patients were classified into PE (n=23) and PR (n=35) groups. The tissue characteristics of residual lesions evaluated using integrated backscatter IVUS were compared between both groups after percutaneous coronary intervention. The PE group had a significantly lower percent lipid volume and a higher percent fibrous volume than the PR group (35.0±17.8% vs 49.2±13.4%, p<0.001; 63.2±17.1% vs 50.3±13.1%, p=0.002, respectively). Receiver operating characteristic curve analysis revealed that percent lipid volume in the residual lesions was a significant discriminant factor in estimating the plaque morphology of the culprit lesion (optimal cut-off value, <43.5%; sensitivity and specificity values were 73.9% and 68.6%, respectively). In conclusion, patients with PE had a significantly lower percent lipid volume and a significantly higher percent fibrous volume in the residual lesions than those with PR, suggesting that the nature of coronary plaques in patients with PE is different from that of those with PR.

Mental health clinical pathways for children and young people with long-term health conditions: A systematic review.

RATIONALE: Clinical pathways (CPWs) are structured care plans that set out essential steps in the care of patients with a specific clinical problem. Amidst calls for the prioritisation of integrated mental and physical health care for young people, multidisciplinary CPWs have been proposed as a step towards closer integration. There is very limited evidence around CPWs for young people with mental and physical health needs, necessitating a review of the literature. AIMS AND OBJECTIVES: The aim of this review is to understand how clinical pathways have been used to deliver mental health support to children and young people with long-term physical health conditions and their effectiveness across a range of outcomes. METHODS: The databases MEDLINE, CENTRAL, PsycINFO and CINAHL were searched from inception to 6 September 2023. Keywords linked to children and young people, mental health, long-term physical health conditions and CPWs were used. Studies using either quantitative or qualitative research designs were included. All studies must have evaluated a CPW to provide mental health support to children and young people (up to 25 years old) with long-term health physical conditions. Both mental and physical health outcomes were considered. Pathways were grouped by integration 'model' as described in the wider literature. RESULTS: The initial search returned 4082 studies after deduplication. A total of eight studies detailing six distinct care pathways (232 participants [170 children and young people; 50 caregivers; 12 healthcare professionals]) met eligibility criteria and were included in the analysis. Four pathways were conducted within an 'integrated model'; two were a combination of 'integrated' and 'colocated'; and none within a 'co-ordinated model'. Only pathways within an integrated model reported quantitative health outcomes, with improvements across a range of mental health measures. One negative physical health outcome was reported from an integrated diabetes pathway, but this should be interpreted with caution. CONCLUSION: This review identified a range of CPW designs but most fell under an integrated model. The results suggest that calls for integrated mental health pathways in this population may be appropriate; however, conclusions are limited by a paucity of evidence.

Bridging the gap to meet complex needs: an intersectoral action well supported by appropriate policies and governance.

Many people face problems about physical, mental, and social dimensions of health, and may have complex needs. They often experience a mismatch between their needs and the ability of the healthcare system to meet them, resulting in under- or overutilization of the healthcare system. On one hand, improving access to community-based primary healthcare for hard-to-reach populations should bring all healthcare and social services to one point of contact, near the community. On the other hand, better addressing the unmet needs of people who overuse healthcare services calls for integrated care among providers across all settings and sectors. In either case, intersectoral action between healthcare and social professionals and resources remains central to bringing care closer to the people and the community, enhancing equitable access, and improving health status. However, efforts to implement integrated care are unevenly weighted toward clinical and professional strategies (micro level), which could jeopardize our ability to implement and sustain integrated care. The development of appropriate policies and governance mechanisms (macro level) is essential to break down silos, promote a coherent intersectoral action, and improve health equity.

Factors influencing the continuance intention of the women's health WeChat public account: an integrated model of UTAUT2 and HBM.

Background: Women's health WeChat public accounts play a crucial role in enhancing health literacy and fostering the development of healthy behaviors among women by disseminating women's health knowledge. Improving users' continuous usage behavior and retention rates for the women's health WeChat public account is vital for influencing the overall effectiveness of health communication on WeChat. Objective: This study aimed to construct a comprehensive model, delving into the key factors influencing women's continuance intention of the women's health public accounts from the perspectives of perceived health threats, individual abilities, and technological perceptions. The goal is to provide valuable insights for enhancing user stickiness and the effectiveness of health communication on WeChat public accounts. Method: An online survey was conducted among women receiving gynecological care at a certain hospital to gage their willingness for sustained use of the women's health WeChat public accounts. Through structural equation modeling, the study investigated the influencing factors on women's sustained intention to use the women's health WeChat public accounts. Results: The study included a total of 853 adult women. Among them, 241 (28.3%) women had followed women's health official accounts in the past but do not currently follow them, 240 (28.1%) women had followed women's health official accounts in the past and are still following them, and 372 (43.6%) women had never followed women's health official accounts. Currently, 240 women are still browsing women's health public accounts, 52 of whom read women's health public accounts every day, and most of them read women's health public accounts for 10-20 min at a time (100, 11.7%). The results of the structural equation model revealed that performance expectancy, social influence, hedonic motivation, habit, and e-health literacy had significantly positive effects on women's sustained intention to use public accounts (performance expectancy: ß = 0.341, p < 0.001; social influence: ß = 0.087, p = 0.047; hedonic motivation: ß = 0.119, p = 0.048; habit: ß = 0.102, p < 0.001; e-health literacy: ß = 0.158, p < 0.001). E-health literacy and self-efficacy indirectly influence sustained intention by affecting performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit. The effect sizes of e-health literacy on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit were 0.244 (p < 0.001), 0.316 (p < 0.001), 0.188 (p < 0.001), 0.226(p < 0.001), 0.154 (p < 0.001), and 0.073 (p = 0.046). The effect sizes of self-efficacy on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit were 0.502 (p < 0.001), 0.559 (p < 0.001), 0.454 (p < 0.001), 0.662 (p < 0.001), 0.707 (p < 0.001), and 0.682 (p < 0.001). Additionally, perceived severity and perceived susceptibility indirectly affected sustained intention by influencing performance expectancy and social influence. The effect sizes of perceived severity on performance expectancy and social influence were 0.223 (p < 0.001) and 0.146 (p < 0.001). The effect size of perceived susceptibility to social influence was 0.069 (p = 0.042). Conclusion: Users' e-health literacy, self-efficacy, perception of disease threat, and users' technological perceptions of the WeChat public accounts are critical factors influencing women's continuance intention of using the WeChat public accounts. Therefore, for female users, attention should be given to improving user experience and enhancing the professionalism and credibility of health information in public account design and promotion. Simultaneously, efforts should be made to strengthen users' health awareness and cultivate e-health literacy, ultimately promoting sustained attention and usage behavior among women toward health-focused public accounts.

Confronting Alzheimer's Disease Risk in Women: A Feasibility Study of Memory Screening as Part of the Annual Gynecological Well-Woman Visit.

Objective: Routine health care visits offer the opportunity to screen older adults for symptoms of Alzheimer's disease (AD). Many women see their gynecologist as their primary health care provider. Given this unique relationship, the Women's Preventive Services Initiative and the American College of Obstetrics and Gynecology advocate for integrated care of women at all ages. It is well-established that women are at increased risk for AD, and memory screening of older women should be paramount in this effort. Research is needed to determine the feasibility and value of memory screening among older women at the well-woman visit. Materials and Methods: Women aged 60 and above completed a 5-item subjective memory screener at their well-woman visit at the Columbia University Integrated Women's Health Program. Women who endorsed any item were considered to have a positive screen and were given the option to pursue clinical evaluation. Rates of positive screens, item endorsement, and referral preferences were examined. Results: Of the 530 women approached, 521 agreed to complete the screener. Of those, 17.5% (n = 91) were classified as positive. The most frequently endorsed item was difficulty with memory or thinking compared with others the same age. Among women with positive screens, 57.5% were interested in pursuing clinical referrals to a memory specialist. Conclusion: Results support the feasibility and potential value of including subjective memory screening as part of a comprehensive well-woman program. Early identification of memory loss will enable investigation into the cause of memory symptoms and longitudinal monitoring of cognitive change.

Self-assembly of cascade nanoenzyme glucose oxidase encapsulated in copper benzenedicarboxylate for wearable sweat-glucose colorimetric sensors with smartphone readout.

BACKGROUND: With the advent of personalized medical approaches, precise and tailored treatments are expected to become widely accepted for the prevention and treatment of diabetes. Paper-based colorimetric sensors that function in combination with smartphones have been rapidly developed in recent years because it does not require additional equipment and is inexpensive and easy to perform. In this study, we developed a portable, low-cost, and wearable sweat-glucose detection device for in situ detection. RESULTS: The sensor adopted an integrated biomimetic nanoenzyme of glucose oxidase (GOx) encapsulated in copper 1, 4-benzenedicarboxylate (CuBDC) (GOx@CuBDC) through a biomimetic mineralization process. CuBDC exhibited a peroxide-like effect, cascade catalytic effect with the encapsulated GOx, and increased the enzyme stability. GOx@CuBDC and 3,3,5,5-tetramethylbenzidine were combined to form a hybrid membrane that achieved single-step paper-based glucose detection. SIGNIFICANCE AND NOVELTY: This GOx@CuBDC-based colorimetric glucose sensor was used to quantitatively analyze the sweat-glucose concentration with smartphone readings. The sensor exhibited a good linear relationship over the concentration range of 40-900 µM and a limit of detection of 20.7 µM (S/N = 3). Moreover, the sensor performed well in situ monitoring and in evaluating variations based on the consumption of foods with different glycemic indices. Therefore, the fabricated wearable sweat-glucose sensors exhibited optimal practical application performance.

A formative evaluation to inform integration of psychiatric care with other gender-affirming care.

BACKGROUND: Transgender, non-binary, and/or gender expansive (TNG) individuals experience disproportionately high rates of mental illness and unique barriers to accessing psychiatric care. Integrating TNG-specific psychiatric care with other physical health services may improve engagement, but little published literature describes patient and clinician perspectives on such models of care. Here we present a formative evaluation aiming to inform future projects integrating psychiatric care with physical health care for TNG individuals. METHODS: In this qualitative pre-implementation study, semi-structured interview guides were developed informed by the Consolidated Framework for Implementation Research to ensure uniform inclusion and sequencing of topics and allow for valid comparison across interviews. We elicited TNG patient (n = 11) and gender-affirming care clinician (n = 10) needs and preferences regarding integrating psychiatric care with other gender-affirming clinical services. We conducted a rapid analysis procedure, yielding a descriptive analysis for each participant group, identifying challenges of and opportunities in offering integrated gender-affirming psychiatric care. RESULTS: Participants unanimously preferred integrating psychiatry within primary care instead of siloed service models. All participants preferred that patients have access to direct psychiatry appointments (rather than psychiatrist consultation with care team only) and all gender-affirming care clinicians wanted increased access to psychiatric consultations. The need for flexible, tailored care was emphasized. Facilitators identified included taking insurance, telehealth, clinician TNG-competence, and protecting time for clinicians to collaborate and obtain consultation. CONCLUSIONS: This health equity pre-implementation project engaged TNG patients and gender-affirming care clinicians to inform future research exploring integration of mental health care with primary care for the TNG community and suggests utility of such a model of care.

Successes and challenges of partnership working to tackle health inequalities using collaborative approaches to community-based research: mixed methods analysis of focus group evidence.

BACKGROUND: The concept of collaborative approaches involves community residents in joint decision-making processes to maintain or enhance their material and social conditions. During COVID-19, public services saw the benefits of actively collaborating with communities and involving residents in decision-making processes. As communities have resources and assets, they are well-placed to contribute to developing local health and wellbeing initiatives. An interdisciplinary and nationally funded three-phase research programme, "Mobilising community assets to tackle health inequalities", was established with the objective of utilising local, cultural, and natural assets to support health and wellbeing. The current study aimed to synthesise evidence collected by research teams awarded funding in phase one of the programme, comprising academic and non-academic, health and social care, voluntary and community partners. METHODS: Ten online focus groups were conducted with research teams from across the UK exploring the successes and challenges of partnership working to tackle health inequalities using collaborative approaches to community-based research. Eight focus group questions were split between partnership working and health inequalities. RESULTS: Thematic and content analysis produced 185 subthemes from which 12 themes were identified. Major themes representing an above average number of coded responses were research evidence; funding; relationships with partners; health inequalities and deprivation; community involvement; and health service and integrated care systems. Minor themes were link workers and social prescribing; training and support; place-based factors; longevity of programmes; setting up and scaling up programmes; and mental health. CONCLUSIONS: Successes included employing practice-based and arts-based methods, being part of a research project for those not normally involved in research, sharing funding democratically, building on established relationships, and the vital role that local assets play in involving communities. Challenges involved a lack of sustainable financial support, the short-term nature of funding, inconsistencies in reaching the poorest people, obtaining the right sort of research evidence, making sufficient research progress, building relationships with already over-burdened health care staff, and redressing the balance of power in favour of communities. Despite the challenges, participants were mainly optimistic that collective approaches and meaningful co-production would create opportunities for future research partnerships with communities.

Partnered Recruitment: Engaging Individuals With Lived Experience in the Recruitment of Co-Design Participants.

BACKGROUND: Young adults with type 1 diabetes (T1D) face complex health challenges, including a heightened risk for distress. To counter this distress, there is a need to develop accessible, acceptable comprehensive care solutions that integrate diabetes and mental health care to enhance self-efficacy and counter mental health challenges in this population. OBJECTIVE: To describe the engagement of individuals with lived experience of T1D and mental health challenges in the development of a recruitment strategy to support the co-design of an innovative integrated care programme. RESULTS: Seven individuals with lived experience formed a Partner Advisory Council (PAC) to recruit young adults (18-29 years old) living with T1D, their friends or family and health researchers and professionals in co-design interviews (n = 19) and co-design events (n = 12). The PAC played a key role in developing a comprehensive recruitment strategy, overcoming traditional barriers and stigmas in the design of an integrated model of care. CONCLUSION: Assuming the presence of mental health challenges in young adults living with T1D during recruitment had far-reaching impacts on the development of a whole-person and integrated diabetes and mental health care solution. The efficient recruitment of this sample provided invaluable insights into the nuanced challenges experienced by young adults with T1D, the individual skills developed in response to their mental health challenges and the ways that this understanding can shape future programming to support mental health, quality of life and well-being. The ongoing involvement of the PAC as co-researchers underscores the enduring impact of patient engagement in developing integrated care solutions. PATIENT OR PUBLIC CONTRIBUTION: The co-design of the TECC-T1D3 model was enriched by the invaluable contributions of individuals with lived experience. This included the engagement of a diverse PAC in the recruitment of participants in co-design interviews and co-design events. PAC members actively participated in research decision-making with their insights informing a robust recruitment strategy. Beyond recruitment, PAC members continue to serve as co-researchers, shaping ongoing research and actively contributing to the TECC-T1D3 project. Six PAC members are co-authors on this manuscript.