Healthcare Stakeholders Research Articles

Cost-effectiveness and cost-utility analysis of a nurse-led, transitional care model to improve care coordination for patients with cardiovascular diseases: results from the "Cardiolotse" study.

To assess the 12-month cost-effectiveness of the nurse-led transitional care program "Cardiolotse" (CL) for patients with cardiovascular diseases compared to usual care (UC). A cost-effectiveness analysis (CEA) and cost-utility analysis (CUA) were conducted from the perspective of statutory health insurance (SHI), covering a time horizon of 12 months. Analyzed outcomes included the number of rehospitalizations and health-related quality of life (HRQoL). Total costs comprised program costs and the utilization of healthcare resources. Point estimates are presented as incremental cost-effectiveness ratios (ICERs) and incremental cost-utility ratios (ICURs). Sensitivity and subgroup analyses were conducted to illustrate uncertainty and provide insights into the impact mechanisms of the CL program. The study population consisted of 2550 patients, with 1256 allocated to the intervention group and 1294 to the control group. Patients who received support from CLs experienced fewer rehospitalizations and lower inpatient costs from an SHI perspective, compared to the UC group. HRQoL assessments indicated higher utility values for CL patients at the 12-month follow-up. Total program costs amounted to €1454.65 per patient. The CEA and CUA demonstrate that the CL program is dominant compared to UC from the SHI perspective. Our study shows that the CL program not only reduces the number of rehospitalizations and costs but increases HRQoL, resulting in a dominant ICER and ICUR. Further research is necessary to evaluate longer periods of time, different levels of care intensity, and perspectives of different healthcare stakeholders. German Clinical Trial Register DRKS00020424, 2020-06-18, retrospectively registered.

Retrospective Analysis of RSV Infection in Pediatric Patients: Epidemiology, Comorbidities, Treatment, and Costs in Dubai (2014-2023)

Background: Infections attributable to respiratory syncytial virus (RSV) are a major cause of hospitalization among young children worldwide. Despite substantial clinical and economic burden, real-world data associated with RSV infections in the United Arab Emirates (UAE) are limited. Objectives: This study aimed to assess among children (<18 years) diagnosed with RSV the epidemiology, seasonality, comorbidities, treatment patterns, length of hospital stay, healthcare resource utilization (HCRU), and costs associated with pediatric infection in Dubai, UAE. Methods: This 10-year retrospective cohort study (Jan. 1, 2014–Sept. 30, 2023) utilized Dubai Real-World Database, a private insurance claims database. Patients aged <18 years with a first-episode diagnosis claim (primary or secondary, or a hospital admission) for RSV any time during the index period (Jan. 1, 2014–June 30, 2023) were included. Outcomes were analyzed during a 3-month follow-up. Patients were stratified into 3 cohorts: Cohort 1 (<2 years), Cohort 2 (2 to <6 years), and Cohort 3 (6 to <18 years). Results: Of 28 011 patients identified, 25 729 were aged <18 years with RSV infection. An increasing trend in reported cases was observed from 2014 to 2022, with an average annual increase of 55%. Half of study patients (49.3%) belonged to Cohort 1, with a mean age of 0.6 years, while less than 2% had known risk factors and 22% of the patients in cohort 1 were hospitalized. In Cohort 1, 32.0% had upper respiratory tract infections, 39.4% had lower respiratory tract infections, and 44.4% of patients had an “other respiratory disease.” The average length of hospitalization was about 4 days across all cohorts. The total hospitalization cost was highest in patients <2 years, amounting to US $9 798 174 (median, US $2241.30). Conclusion: Among the RSV patients, 49.3% were <2 years of age and few had recognized risk factors. Among patients <2 years, 22% were hospitalized, with an average hospital stay of 4 days; the cost of hospitalization totaled US $9 798 174. These findings can inform healthcare stakeholders about future policy measures and the need for effective preventive strategies.

Retrospective Analysis of RSV Infection in Pediatric Patients: Epidemiology, Comorbidities, Treatment, and Costs in Dubai (2014-2023)

Background: Infections attributable to respiratory syncytial virus (RSV) are a major cause of hospitalization among young children worldwide. Despite substantial clinical and economic burden, real-world data associated with RSV infections in the United Arab Emirates (UAE) are limited. Objectives: This study aimed to assess among children (<18 years) diagnosed with RSV the epidemiology, seasonality, comorbidities, treatment patterns, length of hospital stay, healthcare resource utilization (HCRU), and costs associated with pediatric infection in Dubai, UAE. Methods: This 10-year retrospective cohort study (Jan. 1, 2014–Sept. 30, 2023) utilized Dubai Real-World Database, a private insurance claims database. Patients aged <18 years with a first-episode diagnosis claim (primary or secondary, or a hospital admission) for RSV any time during the index period (Jan. 1, 2014–June 30, 2023) were included. Outcomes were analyzed during a 3-month follow-up. Patients were stratified into 3 cohorts: Cohort 1 (<2 years), Cohort 2 (2 to <6 years), and Cohort 3 (6 to <18 years). Results: Of 28 011 patients identified, 25 729 were aged <18 years with RSV infection. An increasing trend in reported cases was observed from 2014 to 2022, with an average annual increase of 55%. Half of study patients (49.3%) belonged to Cohort 1, with a mean age of 0.6 years, while less than 2% had known risk factors and 22% of the patients in cohort 1 were hospitalized. In Cohort 1, 32.0% had upper respiratory tract infections, 39.4% had lower respiratory tract infections, and 44.4% of patients had an “other respiratory disease.” The average length of hospitalization was about 4 days across all cohorts. The total hospitalization cost was highest in patients <2 years, amounting to US $9 798 174 (median, US $2241.30). Conclusion: Among the RSV patients, 49.3% were <2 years of age and few had recognized risk factors. Among patients <2 years, 22% were hospitalized, with an average hospital stay of 4 days; the cost of hospitalization totaled US $9 798 174. These findings can inform healthcare stakeholders about future policy measures and the need for effective preventive strategies.

Innovative Regional Services and Heterogeneous Communication Channels: Results from the Nationwide German egePan Project for Pandemic Management

Background: In the COVID-19 pandemic, novel regional services and communication channels emerged across all sectors of the German healthcare system. To contribute to pandemic preparedness, this study aims to describe newly established services in response to the COVID-19 pandemic from a stakeholder perspective and to examine the interprofessional communication channels, applying a nationwide cross-sectional approach. Methods: A nationwide sample of German healthcare stakeholders comprising general practitioners, associations of statutory health insurance physicians, hospital medical directors, local health departments, rescue coordination centres, medical directors of emergency services, outpatient nursing services, nursing homes, community care access centres, and hospital nursing managers was surveyed. A web-based questionnaire asked for their level of participation in newly implemented regional COVID-19 services and communication channels. Stakeholders’ level of recommendation was measured using the Net Promotor Score (NPS), a metric that assesses their satisfaction towards the services surveyed. Results: In total, 1312 healthcare stakeholders participated in the survey. Diagnostic centres (23.0–90.9%), COVID-19 wards in hospitals (40.5–92.1%), emergency medical vehicles designated solely for COVID-19 patients (16.5–68.4%), and crisis intervention teams (11.6–30.6%) exhibited the highest rates of engagement. The services receiving the highest recommendation for future use were COVID-19 focus practices (NPS: 33.4–43.7), COVID-19 wards in hospitals (NPS: 47.6–84.4), transportation of COVID-19 patients exclusively by predefined professional groups (NPS: 12.5–36.4), and newly implemented digitally supported nursing services (NPS: 58.3–100.0). Telephones emerged as the most frequently used communication channel (58.0–96.7%), while email was the primary digital channel (23.7–81.5%). Conclusions: During the COVID-19 pandemic, Germany experienced significant variation in the implementation of pandemic-related services across healthcare sectors, with stakeholders prioritising services built on existing healthcare structures. Developing a proactive digital infrastructure to connect healthcare professionals from different sectors is crucial for better future pandemic management.

Clinical coordination in cancer diagnosis: healthcare stakeholders’ viewpoints in Latin America

Abstract Background Delays in diagnosis contribute to increasing cancer mortality rates in Latin American countries due to, among others, highly fragmented healthcare systems. The objective of this study, part of a larger research project (EquityCancer-LA), was to analyze cross-level coordination during cancer diagnosis and factors influencing it from healthcare stakeholders’ perspectives in Chile, Colombia, and Ecuador. Methods This descriptive-interpretative qualitative study was based on 114 semi-structured individual interviews in 2022-23 using a criterion sample of health professionals from primary care (PC) (n = 40) and secondary care (SC) (n = 44) as well as managers and policy makers (n = 30) from two public healthcare networks in each country. Sample reached saturation. A thematic analysis was conducted first by country and then comparatively, guided by the theoretical framework of clinical coordination. Results In all countries, informants highlighted limited cross-level exchange of information and limited coordination of clinical management, delays in referral, and long waiting times after referral, leading to diagnostic delays. Factors hindering coordination differed across countries: structural (insufficient personnel, access to diagnostic tests in PC); organizational (limited/inadequate coordination mechanisms, e.g. shared clinical records; poor working conditions); and health professional characteristics (limited knowledge and skills among PC doctors). Direct feedback was emphasized to facilitate coordination of cancer diagnosis: virtual joint clinical conferences in Chile, co-location of PC and SC in Colombia, and informal networks (based on personal contacts) in Ecuador. Conclusions The findings underscore the critical coordination problems contributing to delays in cancer diagnosis. Addressing these challenges requires strategic interventions aimed at strengthening primary care and fostering cross-level coordination. Key messages • Cancer diagnosis in Latin America suffers from coordination deficits due to structural, organizational, and professional factors. • Strengthening primary care and cross-level coordination is needed.

Preparing health students for climate change: the impact of an innovative ‘Plan Health Faire’ course

Abstract Introduction Recent studies highlighted the need for climate change (CC) training in universities, especially for health students. In France, a collaborative teaching program, “Plan Health Faire” (PHF), addresses this need. This study aimed to assess PHF’s impact on health students’ reactions, knowledge, and behaviour. Methods A cross-sectional study was carried out among all second-year health students enrolled in Medicine, Pharmacy, Odontology, and Maieutics at the University of Poitiers in September 2022. During a mandatory seminar, all students took part in the innovative and scientific PHF teaching program which aims to raise awareness of the challenges of CC as applied to healthcare. Two structured questionnaires based on the Kirkpatrick evaluation model were administered before and after the course. Using a comparative statistical analysis, the changes in students’ knowledge were assessed. Results In all, 294 students took part in the study, and 97.4% were satisfied or very satisfied with PHF. An average score of 8.6/10 was given to the collaborative dynamics of the training. In terms of changes in their level of knowledge and their perception of these changes, 98.3% of students felt that they had learned new knowledge about CC and healthcare. A comparative analysis of the answers to the knowledge questions showed that students’ level of knowledge is indeed significantly higher at the end of the course (p<0.0001). Finally, 94% of students expressed their probable or certain intention to integrate these issues into their future professional practice. Conclusions These results indicate that the PHF training program has a significant impact on health students, particularly in terms of satisfaction and knowledge. PHF could be an interesting way to teach health students about the challenges of CC in healthcare. PHF is currently tested in other French Universities and health care facilities. Key messages • Plan Health Faire is an innovative and collaborative educational program aimed at raising awareness among healthcare stakeholders about the challenges of climate change. • Plan Health Faire is an effective program for raising awareness among health students about climate change and is also an interesting lever for integrating climate change into their future practice.

Public Perceptions and Engagement in mHealth Across Eight European Countries

Abstract Background Mobile health technologies have the potential to revolutionize healthcare delivery and patient engagement. This study explores public attitudes toward health app usage and data sharing across eight European countries, addressing a significant gap in understanding the public’s perspective on mHealth adoption. Methods A cross-sectional survey was conducted involving 6,581 participants from Italy, the Netherlands, France, Germany, Spain, Poland, Romania, and Hungary. The survey assessed current health app usage, future interest, willingness to share health data, and concerns about data privacy and security. Results 21.87% of respondents currently use health apps, with 42.71% expressing interest in future use. Regarding data sharing, 52.82% are willing to share health data with healthcare providers, and 25.48% would share data with research institutions. However, 53.18% fear unauthorized use or hacking of their health data. Significant generational and geographical differences in mHealth engagement were observed, with older generations showing higher willingness to adopt health apps OR 1.22 (CI 1.03 - 1.46) for Baby Boomers, OR 1.45 (CI 0.97 - 2.16) for Silent Generation. Education level emerged as a crucial factor, with tertiary-educated individuals more likely to use health apps (OR 1.41 CI 1.24 - 1.58) and demand transparency (OR 1.61 CI 1.45 -1.78). Conclusions The findings underscore the need for targeted strategies to enhance digital literacy, ensure data privacy, and promote equitable access to mHealth technologies across Europe. Policymakers and healthcare stakeholders should prioritize these areas to foster greater public trust and engagement in mHealth, ultimately improving health outcomes and patient care. Key messages • Public attitudes toward mHealth vary significantly across generations, countries, and education levels in Europe. • Addressing data privacy concerns and enhancing digital literacy are crucial for widespread mHealth adoption.

The Scourge of measles

Abstract Once considered a disease of the past, the resurgence of measles in England has garnered significant attention in recent weeks and months. The uptake of routine childhood vaccines including the measles, mumps and rubella (MMR) vaccine is the lowest it has been in a decade and is well below the 95% uptake needed to protect the population and prevent outbreaks. This is giving this serious disease a chance to get a foothold in our communities. From having never seen a case of measles in their life time doctors in England are now notifying cases of measles based on clinical suspicion. Since October, we have seen a rapid increase in both measles cases and outbreaks of measles across England (the total number of cases confirmed since October 2023 to date is 1109) and it has been declared a national incident. The abstract highlights the consequences of vaccine hesitancy, illustrated by case studies of outbreaks of measles among susceptible populations such as schools and prisons and the steps being taken to control the spread. Social media misinformation, distrust in healthcare authorities, and concerns over vaccine safety are some of the factors shaping parental attitudes towards MMR vaccination. In response to these challenges, the abstract underscores the importance of targeted interventions aimed at addressing vaccine hesitancy, such as community engagement initiatives, tailored communication strategies, and healthcare provider training. By emphasizing the critical role of MMR vaccination in preventing measles resurgence, this abstract advocates for a collaborative approach involving healthcare stakeholders, policymakers, and the public to combat to combat this preventable yet persistent threat to public health.

Handling client financial insolvency in maternity services: An occurrence, experience and policy gap qualitative analysis among healthcare stakeholders in North-Central Nigeria.

To assess the occurrence of client financial insolvency, experiences of key healthcare stakeholders, and policy gaps on handling the situation during maternity services. A qualitative study was conducted in North-Central Nigeria. Participants were key healthcare stakeholders including healthcare workers from private, primary, secondary, and tertiary facilities, healthcare administrators/facility-heads, program managers and policy makers at local and state government levels through In-depth and Key Informant interviews. Identified themes were occurrence, experiences of stakeholders, and prevention of client financial insolvency. Data were analyzed with the Nvivo statistical package. Participants confirmed the occurrence of client financial insolvency. Clients' inability to pay hospital bills was due to being indigent, awaiting support from relations, or clients who were uncommitted to the payment. Health facilities lack guiding policy documents; potential cases are referred from private to public or from primary to secondary/tertiary facilities. Methods of handling financial insolvency included healthcare worker-related (staff scavenging for needed consumables, fund-raising among facility staff), facility-related (revolving fund, medical social welfare, welfare committee, discharge with re-payment plan, fee-waiver), community-related (ward development committee, religious organizations/philanthropists) interventions, or hospital detention of insolvent clients. Although clients' bills did not increase during detention, many clients did not honor post-discharge re-payment agreements. Participants suggested a client-friendly billing system, early initiation of birth preparedness, partner involvement, and a rapid scale-up of health insurance for pregnant women to curb financial insolvency. Tackling client financial insolvency requires policy documents, support to private facilities, effective debt-recovery mechanisms, and scale up of health insurance for pregnant women.

Factors associated with risky sexual behaviors among undergraduate students in Thailand

BackgroundRisky sexual behaviors refer to actions or practices that increase the likelihood engaging in sexual intercourse. Such behavior can lead to HIV infection/AIDS, sexually transmitted diseases, and unintended pregnancy. The impact of risky sexual behaviors is a growing public health concern. These issues pose significant challenges to public health, particularly among university students and younger age groups who may be more vulnerable to various factors. Thus, this research aimed to examine the factors and sexual health literacy associated with risky sexual behaviors among undergraduate students in the four major regions of Thailand.MethodA cross-sectional study was conducted among 916 undergraduate students in their final semester of the 2023 academic year, from March to May 2024, at public, autonomous, and private universities across four regions: northern, central, southern, and northeastern of Thailand. The study employed multistage random sampling method. A self-administered structured questionnaire was used to assess risky sexual behaviors and the data were analyzed using multiple logistic regression.ResultsA total of 916 students participated in the study. The prevalence of risky sexual behavior was 46.84% (95% CI:43.56% to 50.12%) students engaged in risky sexual behaviors. Risky sexual behavior was significantly associated with grade point averages (GPA) between 2.00–3.00 could protective risky sexual behaviors was 42% as compared to GPA > 3.00 (AOR = 0.58, 95%CI:0.42 to 0.79), ex-substance use (AOR = 3.48, 95%CI:1.46 to 8.26), Current smoker (AOR = 2.90, 95%CI:1.90 to 4.43), negative attitudes toward risky sexual behaviors (AOR = 2.32, 95%CI:1.32 to 4.06), access to places of ill repute and access to sexual arousal stimuli (sometime) (AOR = 2.23, 95%CI:1.41 to 3.52), social influences (high level) (AOR = 0.29, 95%CI:0.15 to 0.55), and sufficient to excellent level of the application of information about sexual health (AOR = 0.48, 95%CI:0.26 to 0.87) of statistical significance at P < 0.05, which was significantly associated with risky sexual behavior.ConclusionThe findings of this study offer important insights for preventing risky sexual behaviors among undergraduate students across four regions. By promoting healthy sexual practices and encouraging behavior modification, negative consequences can be reduced. Public health care providers, policymakers, and stakeholders should implement tailored strategies, such as comprehensive sexual education and accessible health services, to address the specific needs of these students. These targeted interventions can significantly reduce the prevalence of risky sexual behaviors.

A qualitative study on rehabilitation services at primary health care: insights from primary health care stakeholders in low-resource contexts

BackgroundThe chasm between rehabilitation needs and available rehabilitation services is widening. In most low-resource contexts, there are inadequate rehabilitation professionals at primary health care (PHC), leaving nonrehabilitation primary care providers’ (PCPs) and district rehabilitation professionals and managers to address patients’ rehabilitation needs. This study explored rehabilitation and non-rehabilitation PCPs’ and managers’ perspectives on the situation of rehabilitation service provision in PHC settings and the challenges experienced in providing rehabilitation care.MethodsIn this descriptive, exploratory qualitative study, individual semi-structured interviews and focus group discussions were conducted with purposefully sampled PCPs in Manicaland, Zimbabwe and Eastern Cape, South Africa. The transcripts were analysed thematically using Atlas.ti. version 22.2®.ResultsThirty-six PCPs (29 nonrehabilitation and 7 rehabilitation) and one district manager participated in the study. The current PHC rehabilitation services in the two low-resource contexts were described as inadequate, if not nonexistent. District rehabilitation professionals attempted to fill the gap through outreach and home visits, but resource limitations, particularly in Zimbabwe, often hampered this strategy. The nonrehabilitation PCPs took on task-shifting roles in the identification, referral, and education of patients with rehabilitation needs in the absence of rehabilitation professionals at PHC. Challenges encountered in providing rehabilitation care at PHC included unsupportive leadership, human resource shortages, lack of comprehensive PHC rehabilitation guidelines, no or delayed rehabilitation referral, lack of clear communication strategies, and users’ low demand for PHC rehabilitation.ConclusionTailored approaches, including context-specific rehabilitation guidance for existing task-shifting models, increased investment in rehabilitation and increased rehabilitation awareness, are needed to establish basic rehabilitation services in the described contexts because they are mostly absent. Importantly, the PHC systems in which rehabilitation is to be nested need to be strengthened.

Assessment of self-care practices &amp; associated factors among hypertensives in urban slum areas of Mysuru city: A community-based cross-sectional study

Background &amp; objectives Hypertension is a significant modifiable risk factor for cardiovascular diseases (CVDs) and premature mortality worldwide, particularly affecting low- and middle- income countries (LMICs). This study focused on evaluating self-care practices among hypertensive affected individuals in urban slum areas of Mysuru city, India, and explore associated factors and their relationship with hypertension control levels. Methods A community based cross-sectional study was carried out from March 2022 to August 2023, enrolling 650 hypertensive affected individuals from 63 urban slums of Mysuru city. Data on sociodemographic characteristics, self-care practices, and hypertension control were collected using structured questionnaires and standardized scales. Descriptive statistics and chi-square tests were used for data presentation and analyses. Results Among the participants, 62.9 per cent reported poor self-care awareness, and only 37.1 per cent had good self-care awareness. Factors such as age group, education, occupation, type of family, marital status, socioeconomic status, and hypertension control showed significant associations with self-care scores (P≤0.001). However, no significant association was found between gender and self-care scores. Interpretation &amp; conclusions This study highlights the critical need for comprehensive interventions integrating self-care awareness into existing health programmes to address the growing burden of hypertension, particularly in urban slum populations. By prioritizing self-care education and empowerment, healthcare stakeholders can equip individuals with the necessary knowledge and skills for effective hypertension management, thus improving health outcomes at individual level and also reducing public health impact of hypertension.

Artificial Intelligence in Radiology, Emergency, and Remote Healthcare: A Snapshot of Present and Future Applications

This paper critically examines artificial intelligence in the healthcare sector and aims to identify concrete points of challenges and business value propositions first in radiology and then across healthcare more broadly. It discusses current applications in radiology and future uses of AI in healthcare, focusing on three main areas: (i) emergency incidents handling, (ii) intensive care unit treatment and (iii) augmented telemedicine, to which emergency radiology is a critical success factor. Despite some risks and compliance issues that need to be taken care of, this paper clearly shows that AI has the potential (a) to reengineer the business processes of the healthcare sector, using AI-assisted radiology as a driver and (b) to improve the effectiveness of the healthcare system as well as (c) to increase the quality provision of healthcare services. Despite its slow adoption, AI-assisted healthcare can indeed offer business/operational solutions that benefit all healthcare stakeholders.

Leveraging Blockchain Technology for Public Health

This study delves into the metamorphic potential pertaining to blockchain technology public health, concentrating on its aptness towards addressing the critical challenges related to data security, privacy, and it enroute for improving health service outcomes. By incorporating decentralized structures and smart contracts, blockchain intensify data integrity, ensuring consistency and protective access control, which is principally effective for sensitive medical information. The study enlightens on the advantages of blockchain in entrusting patients as well as healthcare providers with control over public health related information, ensuring privacy and reinforcing regulatory compliance. It delves into the process of how blockchain can streamline healthcare processes, upgrading interoperability among healthcare systems, and create more systematic and affordable models for healthcare service delivery. Based on the case studies from different healthcare stakeholders, the paper provides factual and feasible insights for real-world implementations of blockchain in healthcare, exhibiting its potential to transfigure supply chain management, different insurance claims processing and managing electronic health records. Moreover, the study also recognizes the challenges, including technical constraints, ethical reviews, and the complication of integrating blockchain with existing healthcare framework. The study widens it discussion towards the legal and regulatory aspect, emphasizing the need for a comprehensive approach to adoption. Looking forward, the paper covers the emerging trends and offers guidance for healthcare stakeholders considering blockchain implementation, summarizing that blockchain could be a catalyst for remarkable improvements in public healthcare data administration and patient care.

Automatic Recommender System of Development Platforms for Smart Contract-Based Health Care Insurance Fraud Detection Solutions: Taxonomy and Performance Evaluation.

Health care insurance fraud is on the rise in many ways, such as falsifying information and hiding third-party liability. This can result in significant losses for the medical health insurance industry. Consequently, fraud detection is crucial. Currently, companies employ auditors who manually evaluate records and pinpoint fraud. However, an automated and effective method is needed to detect fraud with the continually increasing number of patients seeking health insurance. Blockchain is an emerging technology and is constantly evolving to meet business needs. With its characteristics of immutability, transparency, traceability, and smart contracts, it demonstrates its potential in the health care domain. In particular, self-executable smart contracts are essential to reduce the costs associated with traditional paradigms, which are mostly manual, while preserving privacy and building trust among health care stakeholders, including the patient and the health insurance networks. However, with the proliferation of blockchain development platform options, selecting the right one for health care insurance can be difficult. This study addressed this void and developed an automated decision map recommender system to select the most effective blockchain platform for insurance fraud detection. This study aims to develop smart contracts for detecting health care insurance fraud efficiently. Therefore, we provided a taxonomy of fraud scenarios and implemented their detection using a blockchain platform that was suitable for health care insurance fraud detection. To automatically and efficiently select the best platform, we proposed and implemented a decision map-based recommender system. For developing the decision-map, we proposed a taxonomy of 102 blockchain platforms. We developed smart contracts for 12 fraud scenarios that we identified in the literature. We used the top 2 blockchain platforms selected by our proposed decision-making map-based recommender system, which is tailored for health care insurance fraud. The map used our taxonomy of 102 blockchain platforms classified according to their application domains. The recommender system demonstrated that Hyperledger Fabric was the best blockchain platform for identifying health care insurance fraud. We validated our recommender system by comparing the performance of the top 2 platforms selected by our system. The blockchain platform taxonomy that we created revealed that 59 blockchain platforms are suitable for all application domains, 25 are suitable for financial services, and 18 are suitable for various application domains. We implemented fraud detection based on smart contracts. Our decision map recommender system, which was based on our proposed taxonomy of 102 platforms, automatically selected the top 2 platforms, which were Hyperledger Fabric and Neo, for the implementation of health care insurance fraud detection. Our performance evaluation of the 2 platforms indicated that Fabric surpassed Neo in all performance metrics, as depicted by our recommender system. We provided an implementation of fraud detection based on smart contracts.

Mpox and Lessons Learned in the Light of the Recent Outbreak: A Narrative Review.

According to the WHO, more than 90,000 cases of mpox have been reported since the 2022 worldwide outbreak, which resulted in 167 deaths, while a new outbreak in Africa since 2023 has resulted in over 18,000 cases and 617 deaths. Mpox is a zoonosis caused by the monkeypox virus, a double-stranded DNA virus belonging to the Orthopoxvirus genus, which causes smallpox-like illness. Until 2022, cases were predominately located in West and Central Africa, with only sporadic cases and outbreaks reported in other parts of the world. During the 2022 outbreak, the primary mode of transmission was sexual contact among men who have sex with men. The changing epidemiology of mpox resulted in new disease phenotypes and populations at risk, disproportionally affecting people who live with HIV. Commonly presenting as a mild, self-limiting illness, mpox can cause severe and protracted disease in people with HIV with a CD4 count < 200 cell/mm3. The global emergence of mpox that followed and intersected with COVID-19 mobilized the scientific community and healthcare stakeholders to provide accurate diagnostics, preventive vaccines and treatment to those most affected. Despite existing gaps, this rapid response helped to contain the outbreak, but challenges remain as new variants emerge. Preparedness and readiness to respond to the next outbreak is crucial in order to minimize the impact to the most vulnerable.

Colorectal Cancer Alliance: Promoting prevention and early detection with screening navigation and a personalized recommendation via a digital screening quiz tool for colorectal cancer.

38 Background: Evaluating the effectiveness of a Colorectal Cancer screening navigation model delivered in a digital platform offered by a patient advocacy organization. Designed as a digital screening quiz tool and live navigation to promote CRC screening, the Colorectal Cancer Alliance’s Screening Quiz is a risk stratification tool that connects respondents to live certified cancer care navigators delivering evidence-based interventions to increase CRC screening, education and patient and family support. The framework utilizes small and mass media, one-on-one education and patient navigation services to help address and reduce barriers to care. Critical interventions which research shows that on-time screening for CRC leads to better outcomes. Methods: The Screening Quiz has been promoted through social sharing, community outreach, media, including influencer campaigns to increase outreach to at-risk communities. Questions assess personal and family history, hereditary syndromes, and demographics to provide a CRC screening recommendation based on current USPSTF guidelines. Respondents overdue for screening are triaged to the Alliance’s patient navigation team. This interaction includes phone calls and emails for symptomatic individuals/ high risk for CRC, telephonic and email for average-risk uninsured, and emails for average-risk insured. At-risk individuals are connected to resources, such as financial assistance, free at-home screening tests, and colonoscopy scheduling services. Results: July 2022 to March 2024, the Screening Quiz provided over 45,000 screening recommendations. The median age of respondents was 47; 32% of respondents were between the ages of 45 to 64. Of the respondents, 29% were male and 71% were female. Most were White (75.6%), nearly half of those who opted into navigation identified as BIPOC, including 14.7% Black/AA, 17.8% Hispanic or Latino, 6.1% Asian, and 2.0% AI/AN. Additionally, 9.7% of respondents identified as ethnically Hispanic/Latino with another race. Most respondents were symptomatic (67.4%) but 6.4% were asymptomatic high-risk. These two groups represented 89% of 1,599 respondents triaged to patient navigation. Conclusions: This digital screening tool and live navigation framework may serve as a key solution in driving CRC screening compared to other interventions. Providing access to live navigation, educational resources, and support services for CRC screening and diagnosis. The Alliance is uniquely positioned with its national network of volunteers, partners, and community presence to effectively reach at-risk communities. Aligning with the science of evidence-based interventions, the Alliance will continue to leverage the Screening Quiz in partnership with healthcare and community stakeholders to close Colorectal Cancer screening gaps.

Talking about diseases; developing a model of patient and public-prioritised disease phenotypes.

Deep phenotyping describes the use of standardised terminologies to create comprehensive phenotypic descriptions of biomedical phenomena. These characterisations facilitate secondary analysis, evidence synthesis, and practitioner awareness, thereby guiding patient care. The vast majority of this knowledge is derived from sources that describe an academic understanding of disease, including academic literature and experimental databases. Previous work indicates a gulf between the priorities, perspectives, and perceptions held by different healthcare stakeholders. Using social media data, we develop a phenotype model that represents a public perspective on disease and compare this with a model derived from a combination of existing academic phenotype databases. We identified 52,198 positive disease-phenotype associations from social media across 311 diseases. We further identified 24,618 novel phenotype associations not shared by the biomedical and literature-derived phenotype model across 304 diseases, of which we considered 14,531 significant. Manifestations of disease affecting quality of life, and concerning endocrine, digestive, and reproductive diseases were over-represented in the social media phenotype model. An expert clinical review found that social media-derived associations were considered similarly well-established to those derived from literature, and were seen significantly more in patient clinical encounters. The phenotype model recovered from social media presents a significantly different perspective than existing resources derived from biomedical databases and literature, providing a large number of associations novel to the latter dataset. We propose that the integration and interrogation of these public perspectives on the disease can inform clinical awareness, improve secondary analysis, and bridge understanding and priorities across healthcare stakeholders.

Toward a responsible future: recommendations for AI-enabled clinical decision support.

Integrating artificial intelligence (AI) in healthcare settings has the potential to benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness, mitigating bias, and maintaining safety is paramount. The lack of established methodologies for pre- and post-deployment evaluation of AI tools regarding crucial attributes such as transparency, performance monitoring, and adverse event reporting makes this situation challenging. This paper aims to make practical suggestions for creating methods, rules, and guidelines to ensure that the development, testing, supervision, and use of AI in clinical decision support (CDS) systems are done well and safely for patients. In May 2023, the Division of Clinical Informatics at Beth Israel Deaconess Medical Center and the American Medical Informatics Association co-sponsored a working group on AI in healthcare. In August 2023, there were 4 webinars on AI topics and a 2-day workshop in September 2023 for consensus-building. The event included over 200 industry stakeholders, including clinicians, software developers, academics, ethicists, attorneys, government policy experts, scientists, and patients. The goal was to identify challenges associated with the trusted use of AI-enabled CDS in medical practice. Key issues were identified, and solutions were proposed through qualitative analysis and a 4-month iterative consensus process. Our work culminated in several key recommendations: (1) building safe and trustworthy systems; (2) developing validation, verification, and certification processes for AI-CDS systems; (3) providing a means of safety monitoring and reporting at the national level; and (4) ensuring that appropriate documentation and end-user training are provided. AI-enabled Clinical Decision Support (AI-CDS) systems promise to revolutionize healthcare decision-making, necessitating a comprehensive framework for their development, implementation, and regulation that emphasizes trustworthiness, transparency, and safety. This framework encompasses various aspects including model training, explainability, validation, certification, monitoring, and continuous evaluation, while also addressing challenges such as data privacy, fairness, and the need for regulatory oversight to ensure responsible integration of AI into clinical workflow. Achieving responsible AI-CDS systems requires a collective effort from many healthcare stakeholders. This involves implementing robust safety, monitoring, and transparency measures while fostering innovation. Future steps include testing and piloting proposed trust mechanisms, such as safety reporting protocols, and establishing best practice guidelines.

Abstract B105: Quality and Accessibility of Online Information Regarding CAR-T Therapy in Hematologic Malignancies

Abstract Background Chimeric antigen receptor T-cell (CAR-T) therapies have changed the treatment landscape for various hematologic malignancies and are currently under development and being tested in clinical trials for multiple solid tumors. Given that patients commonly use the internet as a source of health-related information, we sought to investigate the quality, understandability, and readability of online information regarding CAR-T therapy. Methods We conducted a search in a commonly used search engine (Google) of five pre-determined search terms to identify 100 unique web pages regarding CAR-T therapy. Scientific publications were excluded. Validated instruments were used to ascertain health information quality (DISCERN), understandability (Patient Education Materials Assessment Tool; PEMAT), and readability (Flesch-Kincaid, Gunning Fog, and SMOG indices). Results were summarized using descriptive statistics. Results Among the 100 web pages reviewed, 68% originated from academic medical centers, and 64% included links to clinical trials. Only 11% of the web pages included references to primary literature. 17% of web pages were available in a language other than English, with Spanish (15%) and Arabic (7%) being the most common. Moderate-to-high quality information (DISCERN ≥ 3) was presented by 47% of web pages, and only 31% of web pages were considered understandable (PEMAT ≥ 70%). Average readability scores were 10.6 (SD = 2.09), 12.6 (SD = 2.3), and 13.1 (SD = 1.7) using the Flesch-Kincaid, Gunning Fog, and SMOG indices, respectively. Conclusion Our study highlights that online information for CAR-T therapies commonly features low-quality health information that is typically not understandable to the general population. Further, contrary to recommendations from federal agencies and medical societies, available online information requires, on average, high school reading comprehension. Healthcare teams and stakeholders should strive to improve existing content and ensure patients have access to trusted, high-quality information given the unique complexities, processes, and toxicities associated with receiving CAR-T therapy. Citation Format: Luis C. Garcia, Ana I. Velázquez. Quality and Accessibility of Online Information Regarding CAR-T Therapy in Hematologic Malignancies [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B105.