Healthcare Communication Research Articles

Human-Computer Interaction: A Literature Review of Artificial Intelligence and Communication in Healthcare

Human-Computer Interaction: A Literature Review of Artificial Intelligence and Communication in Healthcare

Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model

Despite the plethora of telehealth applications to assist home-based older adults and healthcare providers, basic messaging and phone calls are still the most common communication methods, which suffer from limited availability, information loss, and process inefficiencies. One promising solution to facilitate patient-provider communication is to leverage large language models (LLMs) with their powerful natural conversation and summarization capability. However, there is a limited understanding of LLMs' role during the communication. We first conducted two interview studies with both older adults (N=10) and healthcare providers (N=9) to understand their needs and opportunities for LLMs in patient-provider asynchronous communication. Based on the insights, we built an LLM-powered communication system, Talk2Care, and designed interactive components for both groups: (1) For older adults, we leveraged the convenience and accessibility of voice assistants (VAs) and built an LLM-powered conversational interface for effective information collection. (2) For health providers, we built an LLM-based dashboard to summarize and present important health information based on older adults' conversations with the VA. We further conducted two user studies with older adults and providers to evaluate the usability of the system. The results showed that Talk2Care could facilitate the communication process, enrich the health information collected from older adults, and considerably save providers' efforts and time. We envision our work as an initial exploration of LLMs' capability in the intersection of healthcare and interpersonal communication.

Co-designing Medication Optimization Patient-Centered Outcomes Research With Older People and Caregivers as Research Partners.

Background: Additional evidence is required to address the unintended consequences of medication use in older people and the required caregiver support. To inform priorities for future research efforts, different stakeholder perspectives are needed, including those of older people, caregivers, clinicians, and researchers. Objective: To develop a co-designed medication-related research agenda. Methods: A 12-member Advisory Council, half of which were older people and caregivers, designed the research. An 11-question survey to identify priorities for medication-related patient-centered outcomes research (PCOR) topics was administered to members of the Elder Care Medicine Network (ECMN) (ie, older people, caregivers, clinicians, and researchers). Respondents were categorized into two groups with hierarchical assignment to the clinician/research group over the older adult/caregiver group. Chi-square tests compared priority areas for medication-related PCOR between the two groups. Results: There were 53 responses (48% response rate) from the ECMN, with 39.6% (n = 21) from the clinician/researcher group and 60.4% (n = 32) from the older adult/caregiver group. The priority areas from both groups included safe ways to simplify medicines (62.2%), communicating with pharmacists and prescribers about medications (58.5%), and information about safe supplements with prescription medications (52.8%). Statistically significant differences existed between the two groups in the proportions choosing the priority areas. Conclusion: Co-design of a survey to identify priority areas for PCOR demonstrated successful engagement of older people and caregivers as research partners. While older people and caregivers may have differing perspectives on the importance of specific medication-related PCOR topics, simplifying medication regimen and health care communications were germane to both groups.

DocBot AI as Your Personal Health Assistant: Bridging the Gap in Consultations Revolutionizing Healthcare Using Natural Language Processing and Artificial Intelligence

The DocBot Chat Bot/AI system is a novel solution to the challenge of acquiring accurate and personalized health information. By utilizing cutting-edge artificial intelligence (AI) algorithms and natural language processing (NLP) methods, the DocBot system creates an engaging and intuitive interface that lets people convey their health concerns and get personalized advice. This study provides an in-depth assessment of the DocBot system, stressing its key features, AI algorithms, advantages, difficulties, and potential applications. To improve healthcare communication and encourage well-informed decision-making, it is important to highlight DocBot's transformative potential in providing users with accurate and trustworthy health knowledge.

Driving Thailand healthcare communication policy on e-cigarettes through social network analysis

E-cigarettes pose a significant public health concern, particularly for youth and young adults. Policymaking in this area is complicated by changing consumption patterns, diverse user demographics, and dynamic online and offline communities. This study uses social network analytics to examine the social dynamics and communication patterns related to e-cigarette use. We analyzed data from various social media platforms, forums, and online communities, which included both advocacy for e-cigarettes as a safer smoking alternative and opposition due to health risks. Our findings inform targeted healthcare policy interventions, such as educational campaigns tailored to specific network clusters, regulations based on user interaction and influence patterns, and collaborations with key influencers to spread accurate health information.

Enhancing patient understanding in obstetrics: The role of generative AI in simplifying informed consent for labor induction with oxytocin.

Informed consent is a cornerstone of ethical medical practice, particularly in obstetrics where procedures like labor induction carry significant risks and require clear patient understanding. Despite legal mandates for patient materials to be accessible, many consent forms remain too complex, resulting in patient confusion and dissatisfaction. This study explores the use of Generative Artificial Intelligence (GAI) to simplify informed consent for labor induction with oxytocin, ensuring content is both medically accurate and comprehensible at an 8th-grade readability level. GAI-generated consent forms streamline the process, automatically tailoring content to meet readability standards while retaining essential details such as the procedure's nature, risks, benefits, and alternatives. Through iterative prompts and expert refinement, the AI produces clear, patient-friendly language that bridges the gap between medical jargon and patient comprehension. Flesch Reading Ease scores show improved readability, meeting recommended levels for health literacy. GAI has the potential to revolutionize healthcare communication by enhancing patient understanding, promoting shared decision-making, and improving satisfaction with the consent process. However, human oversight remains critical to ensure that AI-generated content adheres to legal and ethical standards. This case study demonstrates that GAI can be an effective tool in creating accessible, standardized, yet personalized consent documents, contributing to better-informed patients and potentially reducing malpractice claims.

Effect on comprehension of an AI patient-friendly hospital discharge letter: a quasi-RCT

Abstract Background During transition from hospital to home care, discharge letters serve as a bridge of information between hospital physicians, general practitioners, and patients. However, the complexity of these letters often hinders patient comprehension, leading to medication errors and adverse outcomes. We assessed the effect on patients’ comprehension and satisfaction of using AI to transform discharge letters into patient-friendly versions. Methods An online quasi-randomized controlled parallel-group trial was conducted in Italy. A synthetic discharge letter for a chronic obstructive pulmonary disease patient was drafted. GPT-4 rephrased the letter into an easier-to-understand version. Participants were assigned to receive either the original or AI-generated letter and completed comprehension assessments and satisfaction survey. Results Out of 460, 166 participants received the original letter, and 175 the AI version. The AI group showed significantly higher comprehension scores (median 4;IQR 2-4 vs. 2; IQR1-2, p < 0.001) and outperformed the control group in understanding diagnosis, medications, and antibiotic instructions. Perceived satisfaction was higher in the AI group across all measures (p < 0.001). Health literacy was a good predictor of comprehension in both arms (p = 0.013; p = 0.015). Subgroup analysis revealed the AI letter nearly bridged the comprehension gap between non-healthcare individuals and healthcare professionals receiving the original letter. Conclusions AI-optimized discharge letters improved patient understanding, and satisfaction compared to traditional letters. The study underscores the influence of sociodemographic factors like healthcare experience and health literacy on comprehension, advocating for adaptive communication strategies. These findings contribute to discussions about integrating AI in healthcare to develop patient-centered communication approaches. Key messages • AI-generated patient-friendly discharge letters significantly improved comprehension and satisfaction compared to traditional letters. • Integrating AI in healthcare communication can help bridge comprehension gaps and promote patient-centered care.

TB Care in Ukraine: Understanding Access Barriers at the Primary Healthcare Level

Abstract Background In the WHO European Region, Ukraine is a high-priority country for TB control, being one of nine globally with high rates of multidrug-resistant TB. The WHO emphasizes patient-centered TB care, prioritizing patients as key figures in the care continuum. Thus, our aim was to explore barriers impacting the accessibility of TB services for patients at the primary healthcare level (PHC) in Ukraine. Methods During December 2022-June 2023, a qualitative study was conducted across eight PHC facilities in the Kyiv, Odesa, Mykolayiv, and Volyn regions. The study comprised: 4 focus groups involving 27 family doctors, 16 in-depth interviews with managers and health authorities from regional and national levels, as well as 25 interviews with TB patients. All data was transcribed, manually coded and deductively analyzed. Results All participants highlighted the benefits for patients of providing TB care continuum at the PHC level, yet the program lacks clear requirements for training of family doctors and nurses. Overall family doctors perceived positively various TB training they received; but despite this, they expressed doubts and reported a lack of practical skills, affecting the quality of care provided. Patients highlighted several barriers in interacting with healthcare providers, including stigma and cases of dismissive behavior of healthcare workers, communication challenges, and breaches of patientś data confidentiality. Patients also mentioned self-stigma, and perceptions of family doctors as poorly trained in TB. Still, patients who received healthcare services from the same family doctor “during long time” positively described their experience with TB services too. Conclusions Establishing robust patient-provider interaction at the PHC level can help overcome persistent barriers to TB care continuum in Ukraine. To achieve this, a comprehensive TB training program tailored for PHC family doctors and nurses should be developed and implemented. Key messages • Expanding TB healthcare services to primary healthcare levels in Ukraine can be beneficial for patients. Training primary healthcare staff can enhance TB care quality. • Establishing robust patient-provider interaction at the PHC level can help overcome persistent barriers to TB care continuum in Ukraine.

Efficient and Compressed Deep Learning Model for Brain Tumour Classification With Explainable AI for Smart Healthcare and Information Communication Systems

ABSTRACTThe detection of brain tumours presents a significant challenge in the medical domain, where prompt and precise diagnosis is crucial as patient outcomes depend on it. Conventional deep neural networks perform well in carrying out various imaging tasks within the healthcare sector; however, their effectiveness often falls short of expectations in practical applications due to the substantial computational resources required and issues with reliability. In this research, an optimised and effective deep learning model founded on the DenseNet‐169 architecture is introduced for the classification of magnetic resonance imaging brain tumours, which is particularly advantageous for smart healthcare systems and information and communication technology (ICT) settings with limited computational capabilities. The model compression methodologies, including pruning and quantization, have been employed to significantly diminish the dimensions and intricacy of the model while achieving a classification accuracy of 97.07%. Furthermore, this endeavour necessitates the enhancement of the model's interpretability through the utilisation of explainable artificial intelligence methodologies such as Gradient‐weighted Class Activation Mapping (Grad‐CAM) and SHapley Additive exPlanations (SHAP), which will aid clinicians in highlighting crucial areas of the images and validating feature importance concerning the decisions rendered by the model. A comparative performance evaluation is conducted against DenseNet‐169, ResNet‐50 and various other models to delineate the superior efficacy of our model, rendering it exceptionally adept for knowledge‐driven, real‐time brain tumour diagnosis within smart healthcare and ICT systems where resources are constrained.

Wait, What? What's Going On?- Pregnancy Experiences of Deaf and Hard of Hearing Mothers Who Do Not Sign.

Deaf and hard of hearing (DHH) women experience higher rates of reproductive healthcare barriers and adverse birth outcomes compared to their hearing peers. This study explores the pregnancy experiences of DHH women who do not sign to better understand their barriers and facilitators to optimal perinatal health care. Qualitative study using thematic analysis. Semi-structured, individual remote, or in-person interviews in the United States. Twenty-two DHH English speakers (non-signers) who gave birth in the United States within the past 5 years. Semi-structured interviews explored how DHH women experienced pregnancy and birth, including access to perinatal information and resources, relationships with healthcare providers, communication access, and their involvement with the healthcare system throughout pregnancy. A thematic analysis was conducted. The barriers and facilitators related to a positive perinatal care experience among DHH women. Five key themes emerged. For barriers, healthcare communication breakdowns and loss of patient autonomy highlighted DHH women's struggle with perinatal health care. In contrast, DHH participants outlined the importance of accessible health communication practices and accommodations, use of patient advocacy or self-advocacy, and assistive technologies for DHH parents for more positive perinatal care experiences. Perinatal healthcare providers and staff should routinely inquire about ways to ensure an inclusive and accessible healthcare experience for their DHH patients and provide communication accommodations for optimal care. Additionally, healthcare providers should be more aware of the unique parenting needs and resources of their DHH patients.

Attitudes, healthcare interactions, and communication preferences for HPV vaccines among hesitant Hispanic/Latinx parents: how does this compare with influenza and COVID-19 vaccines?

ABSTRACT Objective We explored HPV vaccine concerns and healthcare provider communication among Hispanic/Latinx hesitant parents during the COVID-19 pandemic, and how those concerns and provider communications compared for influenza and COVID-19 vaccines. As a secondary aim, we explored communication needs and strategies for these recommended vaccines. Design We applied a concurrent, multi-method study design (survey and interview) with 23 Hispanic/Latinx American parents of adolescents aged 11–18 years. An inductive deductive thematic approach was used to interpret interview data. Descriptives were used to analyze survey data. Results Overall, most parents (77%) perceived that their child was receiving too many vaccines. Regarding hesitancy for the HPV vaccine, major parental concerns related to vaccine effectiveness (83%), vaccine necessity (83%), and vaccine safety (80%). For the COVID vaccine, major concerns were the newness of vaccine (83%), vaccine safety (77%), low perceived effectiveness (77%), and low perceived need (77%). For influenza vaccines, major parental concerns were vaccine safety (73%), low perceived need (73%), and preference for natural over vaccine-induced immunity (73%). Parents had overall positive views towards vaccination. Some parents prioritized school-required vaccines, and others ranked the recommended vaccines- HPV, COVID-19, and influenza vaccines- for their children. They saw the benefits of recommended vaccines; however, there were concerns. The majority received a provider’s recommendation for HPV vaccination for their child, while over half had not received a recommendation for COVID-19 and influenza vaccines. Recommended communication strategies were diverse with parents highlighting the need for providers to capitalize on waiting and clinic rooms to provide education. Conclusion Healthcare providers should take advantage of missed opportunities, improve healthcare interactions with a strong recommendation and persistent communication, and offer diverse communication strategies and messaging for vaccines. Future work should further explore multi-vaccine concerns and how addressing these concerns through healthcare-provider communication could improve HPV vaccination along with COVID-19 and influenza vaccination.

40 Trust, belonging and understanding - The experiences of families who use languages other than English (LOE) that are hospitalized on general paediatric inpatient units

Abstract Background Despite recognition that social determinants are critical to health outcomes, many groups, including those with lower incomes, racial/ethnic minorities, and other historically marginalized populations, continue to experience significant social and structural barriers to care. There is need for research that incorporates patient and stakeholder engagement in developing, testing, and disseminating interventions to improve outcomes for patient populations that have been marginalized in the health system. Patients who use a language(s) other than English (LOE) for healthcare communication are at increased risk for experiencing adverse events and worse health outcomes in healthcare settings, including in paediatric hospitals. Canadian census data indicates 12.7% of Canadians predominantly speak a language other than French or English. This work aims to generate knowledge to improve health outcomes for children and families who speak LOE. Objectives (1) To understand the lived experience of families who speak LOE around the hospitalization of their child and (2) To understand the perspectives of patients and families who speak LOE on how the healthcare system can improve care during hospitalization. Design/Methods The premise of this study is participatory research. We designed a qualitative study involving children hospitalized in the General Paediatric Inpatient Unit at the Hospital for Sick Children. The study includes family caregivers of children age 0 to 18 years who identify as speaking LOE. Children and families could speak any language that we were able to obtain interpreter support for. We excluded patients that spoke a traditional Indigenous language as we noted this work required a separate study in partnership with the Indigenous community. We conducted semi-structured virtual individual interviews with children and families post-discharge with a medical interpreter. An interview guide was developed and transcripts were analyzed using thematic analysis. We took several steps to ensure an effective study design given our goals of participatory research including ensuring patient and family engagement throughout the design process. Results 19 families participated in the interviews and 16 different languages were represented amongst our participant groups. Our study is unique in especially unique in it's ability to recruit and interview individuals with so many different primary languages. Our study provides rich insight into opportunities within the paediatric inpatient setting for quality improvement to address the health disparities experienced by patients and families who use LOE for healthcare communication. Our analysis of the interviews identify several themes that provide insight into the lived experience of patients and families who use LOE for healthcare communication. 1) Inconsistent interpreter use affects communication “in the moment” and the ability to develop an “overall understanding” of the current clinical situation and broader healthcare context. Our participants note a "snowball effect" when interpreters are not consistently utilized. 2) In addition to language, multiple additional social factors contribute to an increased sense of vulnerability and modulates how families “trust” the healthcare system. 3) Despite families expressing positive experiences, they noted that they did not, nor expect to feel like they “belonged” within the healthcare system. It is critical to recognize the complex interplay between many factors surrounding our participants’ identities. Though they use a LOE for healthcare, the intersectional marginalization they experience was thoroughly represented during our conversations Conclusion Our research aimed to take a participatory approach to consider the lived experience of patients and families who use LOE for healthcare communication. This work builds on the current literature on patient and family centered care, experiences of families who speak LOE and participatory community-based research in the paediatric hospital settings. Our study's findings support the development of a research and intervention agenda in Canada to improve health outcomes for patients and families with LOE.

Comparative dimensions of COVID-19 visual health literacy: social media news imagery in Germany and China

The COVID-19 pandemic prompted governments worldwide to utilise social media news platforms for disseminating critical public health information and safety protocols. Visual aids, including photographs, videos, charts, and infographics, played a key role in conveying health-related messages. However, there are variations in visual communication practices across countries, influenced by local health communication habits and cultural contexts. This study examines these variations in the visual health discourse that emerged in China and Germany during the pandemic, focusing on metaphorical mapping as a central analytical tool. We introduce the concept of “visual dataset fingerprints,” outlining the distinct composition of public health visuals on eight social news media platforms in Germany and China. Our descriptive analysis encompasses over 3700 digital visual media posts related to COVID-19, shared by leading national news media accounts in German, English, and Mandarin on microblogs in 2022. As a preliminary outcome of our study, we observe differences in image use based on the analysis of 1678 media posts by four Chinese outlets and 1329 media posts by four German outlets. These differences may reflect variations in how public opinion, perceptions, and attitudes toward COVID-19 policies are shaped across languages and cultures. Through its comparative visual analysis, our pilot study offers the potential for a new research approach to global healthcare communication in social news media and digital visual cultures.

Hospital brochures in mental healthcare. how patient-centered are they?

From the results of the 2020 Flemish survey looking into psychiatric patients' views of the in-patient care they have received, it appeared that hospital communication is experienced as not sufficiently patient-centered. In communication research, the quality of written patient materials in physical healthcare has been scrutinized and suggestions for the enhancement of their patient-centeredness, comprehensibility, and actionability have been made. Yet, a similar research interest in the quality of health communication in mental healthcare has failed to materialize. Against a definition of patient-centeredness in mental healthcare, this study investigated the quality of 30 psychiatric hospital brochures from a triangulated linguistic and content perspective, using readability formulas as well as the CCI and PEMAT-P instruments. It appeared that none of the brochures are sufficiently patient-centered, as they fail to take appropriate and full account of mental health patients' specific concerns and difficulties. The lack of quality brochures hampers patients' understanding of their mental health condition and participation in their recovery process, especially when they have a low (mental) health literacy. Together, hospitals and patient organizations, should remedy this situation and thus fortify the public's trust in the evidence-based and high-quality patient-centered care psychiatric hospitals offer.

Key Predictors of Patient Satisfaction and Loyalty in Saudi Healthcare Facilities: A Cross-Sectional Analysis.

Patient satisfaction and loyalty are essential indicators of healthcare quality, directly impacting patient outcomes and the long-term success of healthcare facilities. Despite the growing importance of patient-centered care in Saudi Arabia, there is limited research exploring the factors that influence patient satisfaction and loyalty, particularly in the Riyadh region. This study aims to identify the key factors influencing patient satisfaction and loyalty among Saudi patients attending public and private healthcare facilities in the Riyadh region. The study focuses on how healthcare service quality, communication, and demographic factors contribute to patient satisfaction and loyalty. A cross-sectional study was conducted with a sample of 350 Saudi patients from 10 healthcare facilities in Riyadh. Data were collected using the Patient Satisfaction Questionnaire (PSQ-18) and the Patient Loyalty Questionnaire (PLQ). Descriptive statistics, Pearson correlation, and multiple linear regression were employed to identify predictors of patient satisfaction and loyalty. Significant predictors of patient satisfaction included general satisfaction (β = 0.48, p < 0.001), communication (β = 0.35, p < 0.001), and the frequency of healthcare visits (β = 0.13, p = 0.011). Private healthcare facilities had higher satisfaction (p < 0.001) and loyalty scores (p < 0.001) compared to public facilities. Patient loyalty was strongly predicted by general satisfaction (β = 0.55, p < 0.001) and communication (β = 0.42, p < 0.001). Communication quality and patient satisfaction are key drivers of patient loyalty in Saudi healthcare facilities. Private facilities outperform public ones in patient satisfaction and loyalty. These findings emphasize the need for healthcare providers to enhance communication and service quality to foster patient loyalty. Tailored approaches to meet the diverse needs of patients, particularly in terms of education and visit frequency, are crucial for improving healthcare outcomes in Saudi Arabia.

Counselling sessions for patients in contact isolation due to multi-drug-resistant organisms improve informedness and reduce dissatisfaction

The spread of multidrug-resistant organisms (MDROs) is a critical health issue. Isolation measures imposed to prevent transmission may result in adverse psychological effects among affected patients. This emphasises the need for better communication and information to improve their hospital experience and mental well-being as well as to prevent inadequate treatment. The present study examines whether tailored counselling sessions during contact isolation can enhance patients' understanding of their situation concerning the significance of their MDRO status and enhance their well-being. A pre-post-intervention study was conducted in a German tertiary care hospital in which N = 64 patients who were isolated due to MDROs received tailored counselling. The counselling included information about MDROs, the reason for hospital isolation measures, and appropriate behaviour during and after hospitalisation. Participants completed questionnaires before and after the counselling sessions to assess its impact on their informedness, patient (dis)satisfaction and well-being measures. Prior to the counselling session, patient dissatisfaction was associated with anxiety and inadequate informedness about MDROs. After the counselling, patients reported a significantly improved comprehension of their MDROs-related situation and a notable decrease in dissatisfaction with their hospital situation, primarily attributed to the acquired information. This is the first German study to show how improved information about MDROs impacts patient satisfaction in hospitals. The findings stress the crucial need for improving healthcare workers' interaction and communication with patients affected by MDROs.

If instruments could talk: Trace-based communication and its implications in the curriculum for trainee-supervisor interactions

Contrary to common belief, effective communication is not only achieved via verbal exchanges of information. It requires a thoughtful combination of verbal and non-verbal cues since, in some circumstances, verbal communication in healthcare may be impossible, unfavourable or ineffective. The semiotics literature suggests that effective non-verbal communication goes beyond body language and gestures. It also includes the use of objects (i.e. traces) to transmit a message. We call this trace-based communication (TBC). In this perspective paper, we offer some reflections from our experience researching and using trace-based communication for training purposes. Our intention was to bring further awareness to the opportunities that trace-based communication might enable, including opportunities to enhance trainee-supervisor interactions, and consequently inform curriculum design.

Strategically communicating inclusion efforts at hospitals: Trust-signalling for community engagement.

Trust is a challenging and complex concept and takes on particular significance in the context of community engagement and communication in healthcare. For the purpose of making health services more inclusive and of tackling discrimination where it occurs, there is a need to articulate a vision for inclusion that communities of historically disadvantaged or stigmatised patients can trust. This article considers examples of diversity and inclusion 'signals' on the public websites of two large public hospitals in Melbourne, Australia. We suggest that there is value in public communications reaffirming respect for diversity and a commitment to inclusion in health services. We also make the case for interdisciplinary research into how trust-signalling strategies, that is, rhetorical strategies employed to reassure or convince, are developed by and for health services for the purposes of community engagement, and the specific effects that they may engender. Websites' framing of messages that affirm institutional commitments to fostering an inclusive environment and addressing barriers can serve as a means of explicitly encouraging patients and healthcare workers from marginalised communities to overcome potential obstacles to fuller healthcare engagement and workforce participation respectively.

HELLO: a protocol for a cluster randomized controlled trial to enhance interpersonal relationships and team cohesion among ICU healthcare professionals

BackgroundMental health symptoms among healthcare professionals (HCP) in intensive care units (ICUs) are a significant concern affecting both HCP well-being and patient care outcomes. Cross-sectional studies among members of the European Society of Intensive Care Medicine (ESICM) report up to 50% burnout rates. Determinants of burnout include communication, team cohesion, psychological support, and well-being promotion. We designed the 'Hello Bundle' intervention to mitigate burnout among ICU-HCPs by fostering positive social interactions and a supportive work environment. This justification synthesizes evidence from social psychology, positive psychology, and healthcare communication research to support the intervention. The 'Hello Bundle' aims to enhance interpersonal relationships, improve team cohesion, and reduce burnout rates. The six components include: Hello campaign posters, email reminders, integrating greetings in morning huddles, hello jars, lead-by-example initiatives, and a daily updated hello board in each ICU. This protocol describes a cluster randomized controlled trial to evaluate the effectiveness of the intervention.MethodsThis protocol describes a cluster randomized controlled trial (RCT) conducted among ESICM-affiliated ICUs, consisting of at least 73 clusters with in average of 50 respondents per cluster, totaling approximately 7300 participants. Intervention clusters will implement the 6-component Hello Bundle between October 14 and November 10, 2024, while control clusters will be wait-listed to receive the intervention in January 2025 after the RCT concludes. Clusters will be matched based on ICU size (fewer or more than 20 beds), region, and average 2023 mortality. The primary outcome is the proportion of HCPs with burnout between intervention and control clusters at the end of the intervention. Secondary outcomes include comparing the following between clusters: (1) number of HCPs with high emotional exhaustion; (2) number with high depersonalization; (3) number with loss of accomplishment; (4) perception of ethical climate (5) satisfaction at work (VAS); (6) professional conflicts; (7) intention to leave the ICU (VAS); (8) patient-centered care rating; (9) family-centered care rating. The last secondary outcome is the comparison of burnout rates before and after the intervention in the intervention cluster. Outcomes will be based on HCP reports collected within four weeks before and after the intervention.DiscussionThis is the first large trial of healthcare communication, social, and positive psychology intervention among ICU-HCPs. It holds the potential to provide valuable insights into effective strategies for addressing burnout in ICU settings, ultimately benefiting both HCPs and patients.Trial registration: This trial was registered on ClinicalTrials.Gov on June 18, 2024. Registration: NCT06453616.

8756 Telemonitoring Use For Uncontrolled Type 2 Diabetes Management: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials

Abstract Disclosure: F.A. Kelly: None. M.G. Leite: None. R.Y. Ura Sudo: None. F.A. Moraes: None. V. Morbach: None. E. Pasqualotto: None. I.P. da Silva: None. M.S. Barros: None. P.G. Lima: None. A.D. Lôbo: None. F.D. Pessôa: None. J.C. Cardoso: None. L.M. Lopes: None. M.B. Jardine: None. M.P. Lima: None. A.M. De Almeida: None. I.B. Andrade: None. M. Cavalcanti Souza: None. In the dynamic landscape of healthcare, the integration of telemedicine is reshaping how chronic conditions, such as type 2 diabetes (T2D), are managed. As we delve into the evolving paradigm of healthcare delivery, there is a growing interest in understanding the potential of telemedicine compared to traditional or "usual care" models for T2D. The prevalence of T2D globally underscores the need for innovative, patient-centric solutions that go beyond geographical constraints. Telemedicine, with its promise of real-time monitoring, improved patient engagement, and personalized care, stands out as a potential game-changer in the pursuit of optimal diabetes management. We aimed to perform a meta-analysis of the strategic redesign of healthcare services, harnessing information and communication technology (ICT) to enhance T2D management and glycemic control, providing timely interventions, and improving patient outcomes. This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Review (PRISMA) guidelines. PubMed, Web of Science, Scopus, and Cochrane databases were searched for randomized controlled trials (RCTs) comparing ICT interventions to usual care for T2D management. A random-effects model was used to calculate the mean differences (MDs) with 95% confidence intervals (CIs). Heterogeneity was evaluated with I² statistics. Statistical analysis was performed with Software R, version 4.3.1.A total of 46 studies comprising 26,129 patients were included, of whom 16,443 were randomized to ICT and 9,686 to usual care. Compared with usual care, ICT significantly reduced HbA1c (MD -0.36%; 95% CI -0.49, -0.23; p&amp;lt;0.001; I²=74%) and fast blood glucose (FBG) (MD -0.37 mg/dL; 95% CI -0.58, -0.15; p&amp;lt;0.001; I²=47%). There was no significant difference between groups for body mass index (MD -0.17 Kg/m²; 95% CI -0.47, 0.13; p=0.274; I²=89%), total cholesterol (MD -0.06 mmol/L; 95% CI -0.18, 0.05; p=0.287; I²=68%), low-density lipoprotein cholesterol (LDL-c) (MD -0.37 mmol/L; 95% CI -/ 0.93, 0.19; p=0.193, I²=97%), high-density lipoprotein cholesterol (HDL-c) (MD -0.29 mg/dL; 95% CI -0.78, 0.20; p=0.249; I²=92%), triglyceride (MD 0.02 mmol/L; 95% CI -0.33, 0.37; p=0.896; I²=99%).In this meta-analysis of RCTs of patients with T2D, ICT was associated with a significant reduction in HbA1c and FBG, compared with usual care. Presentation: 6/1/2024