Development and validation of the Trust in Multidimensional Healthcare Systems Scale (TIMHSS).

CONTEXT: The COVID-19 pandemic has reignited a commitment from the health policy and health services research communities to rebuilding trust in healthcare and created a renewed appetite for measures of trust for system monitoring and evaluation. The aim of the present paper was to develop a multidimensional measure of trust in healthcare that: (1) Is responsive to the conceptual and methodological limitations of existing measures; (2) Can be used to identify systemic explanations for lower levels of trust in equity-deserving populations; (3) Can be used to design and evaluate interventions aiming to (re)build trust. METHODS: We conducted a 2021 review of existing measures of trust in healthcare, 72 qualitative interviews (Aug-Dec 2021; oversampling for equity-deserving populations), an expert review consensus process (Oct 2021), and factor analyses and validation testing based on two waves of survey data (Nov 2021, n = 694; Jan-Feb 2022, n = 740 respectively). FINDINGS: We present the Trust in Multidimensional Healthcare Systems Scale (TIMHSS); a 38-item correlated three-factor measure of trust in doctors, policies, and the system. Measurement of invariance tests suggest that the TIMHSS can also be reliably administered to diverse populations. CONCLUSIONS: This global measure of trust in healthcare can be used to measure trust over time at a population level, or used within specific subpopulations, to inform interventions to (re)build trust. It can also be used within a clinical setting to provide a stronger evidence base for associations between trust and therapeutic outcomes.

Exploring the impact of compassion and leadership on patient safety and quality in healthcare systems: a narrative review.

BACKGROUND: Patient safety and healthcare quality are considered integral parts of the healthcare system that are driven by a dynamic combination of human and non-human factors. This review article provides an insight into the two major human factors that impact patient safety and quality including compassion and leadership. It also discusses how compassion is different from empathy and explores the impact of both compassion and leadership on patient safety and healthcare quality. In addition, this review also provides strategies for the improvement of patient safety and healthcare quality through compassion and effective leadership. METHODS: This narrative review explores the existing literature on compassion and leadership and their combined impact on patient safety and healthcare quality. The literature for this purpose was gathered from published research articles, reports, recommendations and guidelines. RESULTS: The findings from the literature suggest that both compassion and transformational leadership can create a positive culture where healthcare professionals (HCPs) prioritise patient safety and quality. Leaders who exhibit compassion are more likely to inspire their teams to deliver patient-centred care and focus on error prevention. CONCLUSION: Compassion can become an antidote for the burnout of HCPs. Compassion is a behaviour that is not only inherited but can also be learnt. Both compassionate care and transformational leadership improve organisational culture, patient experience, patient engagement, outcomes and overall healthcare excellence. We propose that transformational leadership that reinforces compassion remarkably improves patient safety, patient engagement and quality.

Potential of Large Language Models in Health Care: Delphi Study.

BACKGROUND: A large language model (LLM) is a machine learning model inferred from text data that captures subtle patterns of language use in context. Modern LLMs are based on neural network architectures that incorporate transformer methods. They allow the model to relate words together through attention to multiple words in a text sequence. LLMs have been shown to be highly effective for a range of tasks in natural language processing (NLP), including classification and information extraction tasks and generative applications. OBJECTIVE: The aim of this adapted Delphi study was to collect researchers' opinions on how LLMs might influence health care and on the strengths, weaknesses, opportunities, and threats of LLM use in health care. METHODS: We invited researchers in the fields of health informatics, nursing informatics, and medical NLP to share their opinions on LLM use in health care. We started the first round with open questions based on our strengths, weaknesses, opportunities, and threats framework. In the second and third round, the participants scored these items. RESULTS: The first, second, and third rounds had 28, 23, and 21 participants, respectively. Almost all participants (26/28, 93% in round 1 and 20/21, 95% in round 3) were affiliated with academic institutions. Agreement was reached on 103 items related to use cases, benefits, risks, reliability, adoption aspects, and the future of LLMs in health care. Participants offered several use cases, including supporting clinical tasks, documentation tasks, and medical research and education, and agreed that LLM-based systems will act as health assistants for patient education. The agreed-upon benefits included increased efficiency in data handling and extraction, improved automation of processes, improved quality of health care services and overall health outcomes, provision of personalized care, accelerated diagnosis and treatment processes, and improved interaction between patients and health care professionals. In total, 5 risks to health care in general were identified: cybersecurity breaches, the potential for patient misinformation, ethical concerns, the likelihood of biased decision-making, and the risk associated with inaccurate communication. Overconfidence in LLM-based systems was recognized as a risk to the medical profession. The 6 agreed-upon privacy risks included the use of unregulated cloud services that compromise data security, exposure of sensitive patient data, breaches of confidentiality, fraudulent use of information, vulnerabilities in data storage and communication, and inappropriate access or use of patient data. CONCLUSIONS: Future research related to LLMs should not only focus on testing their possibilities for NLP-related tasks but also consider the workflows the models could contribute to and the requirements regarding quality, integration, and regulations needed for successful implementation in practice.

Impact of COVID-19 on asthma management in general practice: A qualitative study.

BACKGROUND AND OBJECTIVES: The COVID-19 pandemic catalysed unprecedented changes to healthcare delivery in Australia, leading to a rapid transformation of asthma management, to which healthcare providers and patients have had to adapt. Understanding the impact of these changes is critical as we emerge from pandemic-affected workflows. METHOD: A qualitative study using semistructured interviews was conducted with 19 general practitioners across Sydney and regional New South Wales. Reflexive thematic analysis of interview data was undertaken. RESULTS: Four key themes were identified: disorganised asthma care before COVID­19; chaotic asthma care during the pandemic; adapting to non-guideline-driven telehealth asthma care; and widening health agenda misalignment. DISCUSSION: This study highlights the triumphs and gaps in asthma management during the pandemic and the vulnerability of existing asthma care systems to disruption. These lessons can be used to re-evaluate how we deliver asthma care and inform future models of care as we transition towards a 'post-COVID' landscape.

Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins.

Digital twins have emerged as a groundbreaking concept in personalized medicine, offering immense potential to transform health care delivery and improve patient outcomes. It is important to highlight the impact of digital twins on personalized medicine across the understanding of patient health, risk assessment, clinical trials and drug development, and patient monitoring. By mirroring individual health profiles, digital twins offer unparalleled insights into patient-specific conditions, enabling more accurate risk assessments and tailored interventions. However, their application extends beyond clinical benefits, prompting significant ethical debates over data privacy, consent, and potential biases in health care. The rapid evolution of this technology necessitates a careful balancing act between innovation and ethical responsibility. As the field of personalized medicine continues to evolve, digital twins hold tremendous promise in transforming health care delivery and revolutionizing patient care. While challenges exist, the continued development and integration of digital twins hold the potential to revolutionize personalized medicine, ushering in an era of tailored treatments and improved patient well-being. Digital twins can assist in recognizing trends and indicators that might signal the presence of diseases or forecast the likelihood of developing specific medical conditions, along with the progression of such diseases. Nevertheless, the use of human digital twins gives rise to ethical dilemmas related to informed consent, data ownership, and the potential for discrimination based on health profiles. There is a critical need for robust guidelines and regulations to navigate these challenges, ensuring that the pursuit of advanced health care solutions does not compromise patient rights and well-being. This viewpoint aims to ignite a comprehensive dialogue on the responsible integration of digital twins in medicine, advocating for a future where technology serves as a cornerstone for personalized, ethical, and effective patient care.

Medicine-Both a Science (Care) and an Art (CARE).

This Viewpoint discusses the concept of CARE (compassion, assistance, respect, and empathy) as a way physicians can practice the art of medicine in the current era of care that increasingly incorporates predictive analytics and artificial intelligence.

Healthcare workers' perspectives on the availability and use of mobile health technologies for disease diagnosis and treatment support in the Ashanti Region of Ghana.

INTRODUCTION: Considering the usefulness of mobile health (mHealth) technologies in healthcare delivery in low- and middle-income countries, including Ghana; there is a need to explore healthcare professionals' perspectives on the availability and use of mHealth for disease screening and treatment of patients' conditions. The study's main aim is to explore healthcare professionals' perspectives regarding the availability and use of mHealth applications for disease screening and management at point-of-care in Ghana's Ashanti Region. MATERIALS AND METHODS: We conducted in-depth interviews with healthcare professionals who use mHealth applications daily between July and September 2020. A purposive sampling strategy was employed to select healthcare professionals who have been using mobile health application tools to support healthcare delivery. The researchers conducted 14 in-depth interviews with healthcare professionals on the availability and use of mHealth applications to support disease diagnosis and treatment of patients' conditions. Data were transcribed, coded, arranged, and analyzed to determine categories and themes. RESULTS: The study results demonstrated that healthcare workers had positive perceptions towards mHealth applications. Healthcare professionals identified significant challenges concerning mHealth applications: the high cost of data; lack of education or limited awareness; poor mobile networks; unstable internet connectivity; erratic power supply; and unavailability of logistics. Healthcare professionals identified the following prerequisite strategies to strengthen the use and scale-up of mHealth applications: stable internet connectivity; creating awareness; supplying logistics; reducing the cost of data; and developing local mobile apps. CONCLUSIONS: The study results revealed the availability of mHealth applications at the individual level for disease screening and treatment support of patients' conditions. The study also showed several significant challenges facing mHealth applications which need to be addressed to guarantee the successful implementation and scaling-up of mHealth activities at all levels of healthcare delivery. Hence, future research should incorporate healthcare professionals' perspectives to completely understand mHealth implementation and scaling-up challenges and measures to inform policy regulations.

Operationalizing the Consolidated Framework for Implementation Research to build and support the lived experience workforce in direct health service provision.

BACKGROUND: The involvement of people with lived experience (LEX) workers in the development, design, and delivery of integrated health services seeks to improve service user engagement and health outcomes and reduce healthcare gaps. Yet, LEX workers report feeling undervalued and having limited influence on service delivery. There is a need for systematic improvements in how LEX workforces are engaged and supported to ensure the LEX workforce can fully contribute to integrated systems of care. OBJECTIVE: This study aimed to operationalize the Consolidated Framework for Implementation Research (CFIR) using a rigorous scoping review methodology and co-creation process, so it could be used by health services seeking to build and strengthen their LEX workforce. SEARCH STRATEGY: A systematic literature search of four databases was undertaken to identify peer-reviewed studies published between 2016 and 2022 providing evidence of the inclusion of LEX workers in direct health service provision. DATA EXTRACTION AND SYNTHESIS: A descriptive-analytical method was used to map current evidence of LEX workers onto the CFIR. Then, co-creation sessions with LEX workers (n = 4) and their counterparts-nonpeer workers (n = 2)-further clarified the structural policies and strategies that allow people with LEX to actively participate in the provision and enhancement of integrated health service delivery. MAIN RESULTS: Essential components underpinning the successful integration of LEX roles included: the capacity to engage in a co-creation process with individuals with LEX before the implementation of the role or intervention; and enhanced representation of LEX across organizational structures. DISCUSSION AND CONCLUSION: The adapted CFIR for LEX workers (CFIR-LEX) that was developed as a result of this work clarifies contextual components that support the successful integration of LEX roles into the development, design, and delivery of integrated health services. Further work must be done to operationalize the framework in a local context and to better understand the ongoing application of the framework in a health setting. PATIENT OR PUBLIC CONTRIBUTION: People with LEX were involved in the operationalization of the CFIR, including contributing their expertise to the domain adaptations that were relevant to the LEX workforce.

Using the consolidated Framework for Implementation Research to integrate innovation recipients' perspectives into the implementation of a digital version of the spinal cord injury health maintenance tool: a qualitative analysis.

BACKGROUND: Despite advances in managing secondary health complications after spinal cord injury (SCI), challenges remain in developing targeted community health strategies. In response, the SCI Health Maintenance Tool (SCI-HMT) was developed between 2018 and 2023 in NSW, Australia to support people with SCI and their general practitioners (GPs) to promote better community self-management. Successful implementation of innovations such as the SCI-HMT are determined by a range of contextual factors, including the perspectives of the innovation recipients for whom the innovation is intended to benefit, who are rarely included in the implementation process. During the digitizing of the booklet version of the SCI-HMT into a website and App, we used the Consolidated Framework for Implementation Research (CFIR) as a tool to guide collection and analysis of qualitative data from a range of innovation recipients to promote equity and to inform actionable findings designed to improve the implementation of the SCI-HMT. METHODS: Data from twenty-three innovation recipients in the development phase of the SCI-HMT were coded to the five CFIR domains to inform a semi-structured interview guide. This interview guide was used to prospectively explore the barriers and facilitators to planned implementation of the digital SCI-HMT with six health professionals and four people with SCI. A team including researchers and innovation recipients then interpreted these data to produce a reflective statement matched to each domain. Each reflective statement prefaced an actionable finding, defined as alterations that can be made to a program to improve its adoption into practice. RESULTS: Five reflective statements synthesizing all participant data and linked to an actionable finding to improve the implementation plan were created. Using the CFIR to guide our research emphasized how partnership is the key theme connecting all implementation facilitators, for example ensuring that the tone, scope, content and presentation of the SCI-HMT balanced the needs of innovation recipients alongside the provision of evidence-based clinical information. CONCLUSIONS: Understanding recipient perspectives is an essential contextual factor to consider when developing implementation strategies for healthcare innovations. The revised CFIR provided an effective, systematic method to understand, integrate and value recipient perspectives in the development of an implementation strategy for the SCI-HMT. TRIAL REGISTRATION: N/A.

Strategies to improve delivery of equitable and evidence-informed care for pregnant and birthing people with a substance use disorder in acute care settings: A scoping review protocol.

This protocol outlines a proposed scoping review to characterize evidence on implementation and quality improvement (QI) strategies that aim to improve equitable, evidence-informed care delivery for pregnant and birthing people with substance use disorder (SUD) in acute care. Untreated SUD during pregnancy is associated with an increased risk of overdose and severe maternal morbidity. Acute care settings are one important place to deliver equitable, evidence-informed clinical care. While clinical practice guidelines for substance use treatment and care of pregnant and birthing people with SUD exist, there are gaps in implementation. Our population of interest is pregnant and birthing people with SUD in an acute care setting. We will include US-based studies that describe or evaluate implementation or QI strategies, including experimental, observational, and descriptive studies published from 2016 to 2023. The proposed scoping review will be conducted in accordance with JBI methodology for scoping reviews and registered at OSF (registration number: BC4VZ). We will search MEDLINE (PubMed), CINAHL Complete (EBSCO), Scopus (Elsevier), and APA PsychInfo (Ovid) for published studies. Conference proceedings and Perinatal Quality Collaborative websites will be searched for grey literature. Two reviewers will independently screen then extract studies that meet inclusion criteria using a data extraction tool. The completion of this scoping review will help illuminate strengths and gaps in research and practice that aim to inform substance use treatment and care in acute care settings for pregnant and birthing people with SUD.

Experiences and learnings from developing and implementing a co-designed value-based healthcare framework within Victorian public oral health sector.

Objective This study aimed to describe the development and implementation of a co-designed value-based healthcare (VBHC) framework within the public dental sector in Victoria. Methods A mixed-method study was employed. Explorative qualitative design was used to examine patient, workforce and stakeholder perspectives of implementing VBHC. Participatory action research was used to bring together qualitative narrative-based research and service design methods. An experience-based co-design approach was used to enable staff and patients to co-design services. Quantitative data was sourced from Titanium (online patient management system). Results Building a case for VBHC implementation required intensive work. It included co-designing, collaborating, planning and designing services based on patient needs. Evidence reviews, value-stream mapping and development of patient reported outcomes (PROMs) and patient reported experience measures (PREMs) were fundamental to VBHC implementation. Following VBHC implementation, a 44% lower failure to attend rate and 60% increase in preventive interventions was reported. A higher proportion of clinicians worked across their top scope of practice within a multi-disciplinary team. Approximately 80% of services previously provided by dentists were shifted to oral health therapists and dental assistants, thereby releasing the capacity of dentists to undertake complex treatments. Patients completed baseline International Consortium for Health Outcomes Measurement PROMs (n = 44,408), which have been used for social/clinical triaging, determining urgency of care based on risk, segmentation and tracking health outcomes. Following their care, patients completed a PREMs questionnaire (n = 15,402). Patients agreed or strongly agreed that: the care they received met their needs (87%); they received clear answers to their questions (93%); they left their visit knowing what is next (91%); they felt taken care of during their visit (94%); and they felt involved in their treatment and care (94%). Conclusion The potential for health system transformation through implementation of VBHC is significant, however, its implementation needs to extend beyond organisational approaches and focus on sustaining the principles of VBHC across healthcare systems, policy and practice.

CUSCO: An Unobtrusive Custom Secure Audio-Visual Recording System for Ambient Assisted Living.

The ubiquity of digital technology has facilitated detailed recording of human behaviour. Ambient technology has been used to capture behaviours in a broad range of applications ranging from healthcare and monitoring to assessment of cooperative work. However, existing systems often face challenges in terms of autonomy, usability, and privacy. This paper presents a portable, easy-to-use and privacy-preserving system for capturing behavioural signals unobtrusively in home or in office settings. The system focuses on the capture of audio, video, and depth imaging. It is based on a device built on a small-factor platform that incorporates ambient sensors which can be integrated with the audio and depth video hardware for multimodal behaviour tracking. The system can be accessed remotely and integrated into a network of sensors. Data are encrypted in real time to ensure safety and privacy. We illustrate uses of the device in two different settings, namely, a healthy-ageing IoT application, where the device is used in conjunction with a range of IoT sensors to monitor an older person's mental well-being at home, and a healthcare communication quality assessment application, where the device is used to capture a patient-clinician interaction for consultation quality appraisal. CUSCO can automatically detect active speakers, extract acoustic features, record video and depth streams, and recognise emotions and cognitive impairment with promising accuracy.

The lived experience of chronic pain for Maori: how can this inform service delivery and clinical practice? A systematic review and qualitative synthesis.

AIM: To synthesise the literature describing experiences of chronic pain and pain management for Maori, and to understand how this experience could inform service delivery and clinical practice. METHOD: We systematically searched for qualitative research on Maori chronic pain experiences (Scopus, Medline, APA PsycINFO, NZ Research, Research Square). Data extracted were coded and synthesised using thematic analysis. RESULTS: Seven studies were included. Three themes encapsulated the data: 1) a multidimensional view of pain and pain management: Maori expressed a holistic and integrated understanding of the multiple factors that influence pain and its management, 2) a responsibility: respectful tikanga-informed care: the experiences of Maori participants with healthcare highlight a need for antiracist approaches, and a clinical responsibility to practice manaakitanga and tikanga, and 3) tino rangatiratanga: a desire for knowledge, choice and autonomy in pain management: Maori valued the empowering nature of knowledge about pain, and information and support to make decisions about treatment, including considerations regarding Western and traditional Maori medicine. CONCLUSION: Health services need to understand and respect the multidimensional aspects of pain, minimise racism and discrimination, use whakawhanaungatanga, manaakitanga, and tikanga-informed practices, and provide appropriate information to support tino rangatiratanga for pain management.

Health Care AI and Patient Privacy-Dinerstein v Google.

This Viewpoint summarizes a recent lawsuit alleging that a hospital violated patients' privacy by sharing electronic health record (EHR) data with Google for development of medical artificial intelligence (AI) and discusses how the federal court's decision in the case provides key insights for hospitals planning to share EHR data with for-profit companies developing medical AI.

The role of mesolevel characteristics of the health care system and socioeconomic factors on health care use - results of a scoping review.

BACKGROUND: Besides macrolevel characteristics of a health care system, mesolevel access characteristics can exert influence on socioeconomic inequalities in healthcare use. These reflect access to healthcare, which is shaped on a smaller scale than the national level, by the institutions and establishments of a health system that individuals interact with on a regular basis. This scoping review maps the existing evidence about the influence of mesolevel access characteristics and socioeconomic position on healthcare use. Furthermore, it summarizes the evidence on the interaction between mesolevel access characteristics and socioeconomic inequalities in healthcare use. METHODS: We used the databases MEDLINE (PubMed), Web of Science, Scopus, and PsycINFO and followed the 'Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols extension for scoping reviews (PRISMA-ScR)' recommendations. The included quantitative studies used a measure of socioeconomic position, a mesolevel access characteristic, and a measure of individual healthcare utilisation. Studies published between 2000 and 2020 in high income countries were considered. RESULTS: Of the 9501 potentially eligible manuscripts, 158 studies were included after a two-stage screening process. The included studies contained a wide spectrum of outcomes and were thus summarised to the overarching categories: use of preventive services, use of curative services, and potentially avoidable service use. Exemplary outcomes were screening uptake, physician visits and avoidable hospitalisations. Access variables included healthcare system characteristics such as physician density or distance to physician. The effects of socioeconomic position on healthcare use as well as of mesolevel access characteristics were investigated by most studies. The results show that socioeconomic and access factors play a crucial role in healthcare use. However, the interaction between socioeconomic position and mesolevel access characteristics is addressed in only few studies. CONCLUSIONS: Socioeconomic position and mesolevel access characteristics are important when examining variation in healthcare use. Additionally, studies provide initial evidence that moderation effects exist between the two factors, although research on this topic is sparse. Further research is needed to investigate whether adapting access characteristics at the mesolevel can reduce socioeconomic inequity in health care use.

AI Developers Should Understand the Risks of Deploying Their Clinical Tools, MIT Expert Says.

This Medical News article is an interview with Marzyeh Ghassemi, a machine learning expert at the Massachusetts Institute of Technology who focuses on health care applications, and JAMA Editor in Chief Kirsten Bibbins-Domingo.

PUFchain 3.0: Hardware-Assisted Distributed Ledger for Robust Authentication in Healthcare Cyber-Physical Systems.

This article presents a novel hardware-assisted distributed ledger-based solution for simultaneous device and data security in smart healthcare. This article presents a novel architecture that integrates PUF, blockchain, and Tangle for Security-by-Design (SbD) of healthcare cyber-physical systems (H-CPSs). Healthcare systems around the world have undergone massive technological transformation and have seen growing adoption with the advancement of Internet-of-Medical Things (IoMT). The technological transformation of healthcare systems to telemedicine, e-health, connected health, and remote health is being made possible with the sophisticated integration of IoMT with machine learning, big data, artificial intelligence (AI), and other technologies. As healthcare systems are becoming more accessible and advanced, security and privacy have become pivotal for the smooth integration and functioning of various systems in H-CPSs. In this work, we present a novel approach that integrates PUF with IOTA Tangle and blockchain and works by storing the PUF keys of a patient's Body Area Network (BAN) inside blockchain to access, store, and share globally. Each patient has a network of smart wearables and a gateway to obtain the physiological sensor data securely. To facilitate communication among various stakeholders in healthcare systems, IOTA Tangle's Masked Authentication Messaging (MAM) communication protocol has been used, which securely enables patients to communicate, share, and store data on Tangle. The MAM channel works in the restricted mode in the proposed architecture, which can be accessed using the patient's gateway PUF key. Furthermore, the successful verification of PUF enables patients to securely send and share physiological sensor data from various wearable and implantable medical devices embedded with PUF. Finally, healthcare system entities like physicians, hospital admin networks, and remote monitoring systems can securely establish communication with patients using MAM and retrieve the patient's BAN PUF keys from the blockchain securely. Our experimental analysis shows that the proposed approach successfully integrates three security primitives, PUF, blockchain, and Tangle, providing decentralized access control and security in H-CPS with minimal energy requirements, data storage, and response time.

Research on the barriers to accessing sexual healthcare for sexually diverse Muslim men: protocol for a scoping review.

INTRODUCTION: Sexually diverse Muslim men are seen to be at a higher risk for HIV and other sexually transmitted infections due to their limited access to sexual healthcare services. We outline a protocol to conduct a scoping review of research on the barriers that may impede these men's access to sexual healthcare. METHODS AND ANALYSIS: To conduct this scoping review, we will follow the methodological framework developed by Arksey and O'Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses' extension for scoping reviews. To classify the barriers to sexual healthcare, we will employ Bronfenbrenner's socioecological model as a conceptual framework. We will conduct a literature search via Medline, Embase and Global Health (OVID); Scopus; CINAHL on EBSCOhost along with several other EBSCOhost databases (Academic Search Complete, Canadian Reference Centre, Alternative Press Index, Family & Society Studies Worldwide, Social Work Abstracts) and Google Scholar, published until November 2023. Journal articles, published in the English language, describing quantitative and qualitative research on sexual healthcare access barriers for sexually diverse Muslim men will be included in the review. Commentaries and correspondences, along with grey literature including research reports and conference abstracts, as well as studies that do not include men with the Muslim faith, will be considered ineligible. Following screening of titles and abstracts, we will conduct a full-text screening to determine the final number of studies to be included in the review. A Microsoft Excel spreadsheet will be used to extract study characteristics, and information on sexual healthcare access barriers will be classified according to the socioecological model's core concepts. ETHICS AND DISSEMINATION: Our review does not require ethics approval. We will disseminate the review findings through peer-reviewed academic journals, seminars and conference presentations.

Towards integrated mental health services in low-income and middle-income countries: organisation of primary healthcare providers - a scoping review protocol.

INTRODUCTION: Mental health conditions constitute a significant percentage of the global burden of disease. A shortfall of mental health specialists and a lack of integration of services in primary care in low-income and middle-income countries (LMICs) contribute towards a mental health treatment gap in excess of 70%. Organising and equipping non-specialist healthcare workers is, therefore, an important strategy for improving access to mental health services in LMICs. This scoping review aims to map literature that addresses the organisation of and support provided to health teams in primary care settings within the context of integrated mental healthcare and as it relates to detection, treatment and referral of mental health conditions. The review will be guided by the 'Innovative Care for Chronic Conditions' framework. METHODS AND ANALYSIS: This review protocol will employ the methodological framework first developed by Arksey and O'Malley and later advanced by others and will follow the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping reviews guidelines. This process will entail identifying the research questions, locating relevant literature, choosing eligible reports and studies, extracting the data and summarising the results in English-language studies and reports from 2008 to 2023 will be sourced from PubMed, CINAHL, Cochrane Library, PsycARTICLES, Scopus, Web of Science, Academic Search Complete and the WHO website. A two-stage screening of titles and abstracts, followed by full-text literature will be done in duplicate with blinded authors. Data extraction will be based on predefined fields. ETHICS AND DISSEMINATION: All literature accessed for this scoping review is in the public domain and thus, no approval from an ethics review board is required. The findings of the scoping review report will inform future mental health research in LMIC and will be disseminated to relevant stakeholders and published in a peer-reviewed journal.

Integrated palliative care in oncology: a protocol for a realist synthesis.

INTRODUCTION: Emerging evidence suggests improved quality of life, reduced symptom burden and lower health services costs when integrated palliative care and cancer care are implemented. Integrated palliative care aims to achieve care continuity by integrating organisational, administrative and clinical services involved in patient care networks. However, integrated palliative care for cancer is not common practice. This project, therefore, aims to understand how integrated palliative care and cancer care works in different healthcare settings (inpatient/outpatient), and for which groups of people (at what stage of the cancer journey), so we can develop guidance for optimal delivery. METHODS AND ANALYSIS: We will conduct a realist synthesis to develop a programme theory of how integrated palliative care in cancer works, for whom and in what contexts to achieve improved symptom management and quality of life for patients and their families.This realist synthesis will follow the five stages outlined by Pawson: (1) locating existing theories, (2) searching for evidence, (3) article selection, (4) extracting and organising data and (5) synthesising the evidence and drawing conclusions. We will work closely with our expert stakeholder group, which includes health and social care professionals providing palliative care and oncology; management and policy groups and members of the public and patients. We will adhere to RAMESES quality standards for undertaking a realist synthesis. ETHICS AND DISSEMINATION: Ethics approval for this project is not required.The realist synthesis will develop a programme theory that provides clarity on the optimal delivery of palliative care for adults with cancer. We will use the programme theory to coproduce guidance and user-friendly outputs, working with stakeholders to inform delivery of best practice. Findings will inform further research in integrated palliative care and cancer. Stakeholder engagement will assist in the dissemination of our findings. PROSPERO REGISTRATION NUMBER: CRD42023389791.