Health Care Research Articles

Benefits and Risks of AI in Health Care: Narrative Review

Background The integration of artificial intelligence (AI) into health care has the potential to transform the industry, but it also raises ethical, regulatory, and safety concerns. This review paper provides an in-depth examination of the benefits and risks associated with AI in health care, with a focus on issues like biases, transparency, data privacy, and safety. Objective This study aims to evaluate the advantages and drawbacks of incorporating AI in health care. This assessment centers on the potential biases in AI algorithms, transparency challenges, data privacy issues, and safety risks in health care settings. Methods Studies included in this review were selected based on their relevance to AI applications in health care, focusing on ethical, regulatory, and safety considerations. Inclusion criteria encompassed peer-reviewed articles, reviews, and relevant research papers published in English. Exclusion criteria included non–peer-reviewed articles, editorials, and studies not directly related to AI in health care. A comprehensive literature search was conducted across 8 databases: OVID MEDLINE, OVID Embase, OVID PsycINFO, EBSCO CINAHL Plus with Full Text, ProQuest Sociological Abstracts, ProQuest Philosopher’s Index, ProQuest Advanced Technologies & Aerospace, and Wiley Cochrane Library. The search was last updated on June 23, 2023. Results were synthesized using qualitative methods to identify key themes and findings related to the benefits and risks of AI in health care. Results The literature search yielded 8796 articles. After removing duplicates and applying the inclusion and exclusion criteria, 44 studies were included in the qualitative synthesis. This review highlights the significant promise that AI holds in health care, such as enhancing health care delivery by providing more accurate diagnoses, personalized treatment plans, and efficient resource allocation. However, persistent concerns remain, including biases ingrained in AI algorithms, a lack of transparency in decision-making, potential compromises of patient data privacy, and safety risks associated with AI implementation in clinical settings. Conclusions In conclusion, while AI presents the opportunity for a health care revolution, it is imperative to address the ethical, regulatory, and safety challenges linked to its integration. Proactive measures are required to ensure that AI technologies are developed and deployed responsibly, striking a balance between innovation and the safeguarding of patient well-being.

Task-Specific Transformer-Based Language Models in Health Care: Scoping Review

Background Transformer-based language models have shown great potential to revolutionize health care by advancing clinical decision support, patient interaction, and disease prediction. However, despite their rapid development, the implementation of transformer-based language models in health care settings remains limited. This is partly due to the lack of a comprehensive review, which hinders a systematic understanding of their applications and limitations. Without clear guidelines and consolidated information, both researchers and physicians face difficulties in using these models effectively, resulting in inefficient research efforts and slow integration into clinical workflows. Objective This scoping review addresses this gap by examining studies on medical transformer-based language models and categorizing them into 6 tasks: dialogue generation, question answering, summarization, text classification, sentiment analysis, and named entity recognition. Methods We conducted a scoping review following the Cochrane scoping review protocol. A comprehensive literature search was performed across databases, including Google Scholar and PubMed, covering publications from January 2017 to September 2024. Studies involving transformer-derived models in medical tasks were included. Data were categorized into 6 key tasks. Results Our key findings revealed both advancements and critical challenges in applying transformer-based models to health care tasks. For example, models like MedPIR involving dialogue generation show promise but face privacy and ethical concerns, while question-answering models like BioBERT improve accuracy but struggle with the complexity of medical terminology. The BioBERTSum summarization model aids clinicians by condensing medical texts but needs better handling of long sequences. Conclusions This review attempted to provide a consolidated understanding of the role of transformer-based language models in health care and to guide future research directions. By addressing current challenges and exploring the potential for real-world applications, we envision significant improvements in health care informatics. Addressing the identified challenges and implementing proposed solutions can enable transformer-based language models to significantly improve health care delivery and patient outcomes. Our review provides valuable insights for future research and practical applications, setting the stage for transformative advancements in medical informatics.

A 25-Year Retrospective of Health IT Infrastructure Building: The Example of the Catalonia Region

Over the past decades, health care systems have significantly evolved due to aging populations, chronic diseases, and higher-quality care expectations. Concurrently with the added health care needs, information and communications technology advancements have transformed health care delivery. Technologies such as telemedicine, electronic health records, and mobile health apps promise enhanced accessibility, efficiency, and patient outcomes, leading to more personalized, data-driven care. However, organizational, political, and cultural barriers and the fragmented approach to health information management are challenging the integration of these technologies to effectively support health care delivery. This fragmentation collides with the need for integrated care pathways that focus on holistic health and wellness. Catalonia (northeast Spain), a region of 8 million people with universal health care coverage and a single public health insurer but highly heterogeneous health care service providers, has experienced outstanding digitalization and integration of health information over the past 25 years, when the first transition from paper to digital support occurred. This Viewpoint describes the implementation of health ITs at a system level, discusses the hits and misses encountered in this journey, and frames this regional implementation within the global context. We present the architectures and use trends of the health information platforms over time. This provides insightful information that can be used by other systems worldwide in the never-ending transformation of health care structure and services.

Bacteriemias por anaerobios estrictos

Introduction. Anaerobic bacteremia represents 0.5-12% of all bacteremias and its mortality is high, ranging from 25-44%. The aim was to know our data to compare them with existing data and demonstrate the importance of actively searching for these microorganisms in blood culture samples. Material and methods. A retrospective descriptive study in which the medical records of patients with significant episodes of anaerobic bacteremia were reviewed over a period of 8 years (2014-2022). Results. A total of 59,898 blood cultures were processed, of which 10,451 were positive (17%). An anaerobic microorganism was identified in 209 patients. Anaerobic bacteremia accounted for 2.11% of the total number of positive blood cultures. The mean age was 63.55 years (17-96), 66% of whom were men. The origin was community in 63.64%, of nosocomial origin in 15.31% and associated with health care in 17.70%. The focus of infection was the abdominal (39.23%), followed by the respiratory (13.88%) and skin and soft tissues (13.39%). The most frequent comorbidities were: arterial hypertension (49.76%), dyslipidemia (29.67%), neoplasia (26.32%) and diabetes (26.32%). The main species isolated were the group Bacteroides spp. (44.50%) (n=93) highlighting Bacteroides group fragilis (n=65), followed by Clostridium spp. (20%) (n=42) highlighting Clostridium perfringens (n=30). The clinical evolution was good in 67.46%. The mean length of stay was 27.8 days and was associated with 20% mortality. Conclusions. Bacteremias due to anaerobes represented 2.11% of the total number of true bacteremias, so we consider the active search for these microorganisms to be appropriate.

Establishing National Standards for Carceral Health Care—The Federal Prison Oversight Act

This Viewpoint discusses how the health care quality that individuals receive while incarcerated is often deficient and how the passage of the Federal Prison Oversight Act represents an opportunity to improve the health of those living and working in carceral facilities.

Reducing stigma and improving access to care for people with mental health conditions in the community: protocol for a multi-site feasibility intervention study (Indigo-Local)

Abstract Background Stigma and discrimination towards people with mental health conditions by their communities are common worldwide. This can result in a range of negative outcomes for affected persons, including poor access to health care. However, evidence is still patchy from low- and middle-income countries (LMICs) on affordable, community-based interventions to reduce mental health-related stigma and to improve access to mental health care. Methods This study aims to conduct a feasibility (proof-of-principle) pilot study that involves developing, implementing and evaluating a community-based, multi-component, awareness-raising intervention (titled Indigo-Local), designed to reduce stigma and discrimination and to increase referrals of people with mental health conditions for assessment and treatment. It is being piloted in seven sites in five LMICs—China, Ethiopia, India, Nepal and Tunisia—and includes several key components: a stakeholder group workshop; a stepped training programme (using a ‘Training of Trainers’ approach) of community health workers (or similar cadres of workers) and service users that includes repeated supervision and booster sessions; community engagement activities; and a media campaign. Social contact and service user involvement are instrumental to all components. The intervention is being evaluated through a mixed-methods pre-post study design that involves quantitative assessment of stigma outcomes measuring knowledge, attitudes and (discriminatory) behaviour; quantitative evaluation of mental health service utilization rates (optional, where feasible in sites); qualitative exploration of the potential effectiveness and impact of the Indigo-Local intervention; a process evaluation; implementation evaluation; and an evaluation of implementation costs. Discussion The output of this study will be a contextually adapted, evidence-based intervention to reduce mental health-related stigma in local communities in five LMICs to achieve improved access to healthcare. We will have replicable models of how to involve people with lived experience as an integral part of the intervention and will produce knowledge of how intervention content and implementation strategies vary across settings. The intervention and its delivery will be refined to be feasible and ready for larger-scale implementation and evaluation. This study thereby has the potential to make an important contribution to the evidence base on what works to reduce mental health-related stigma and discrimination and improve access to health care.

It’s More Complicated Than Interpreter Use: Improving Care for Non–English-Speaking Families

Mateo is a 2-week-old male who presented for evaluation of neonatal fever and whose parents speak Spanish. Workup revealed pyelonephritis, underlying renal anomalies, and vesicoureteral reflux. A complex interplay of individual and contextual factors contributed to Mateo not receiving prophylactic antibiotics, which ultimately led to a potentially preventable subsequent admission for sepsis secondary to Escherichia coli pyelonephritis with bacteremia. Further history revealed additional communication breakdown; despite multiple appointments between hospitalizations, systems issues led to Mateo’s primary care provider being unaware of Mateo’s admissions or urologic diagnoses. This case demonstrates challenges facing health care providers as we strive to provide equitable care to families speaking languages other than English (LOE). Although an in-person interpreter was used throughout Mateo’s hospitalization, there were still key areas of communication breakdown and opportunities for improvement. First, we describe characteristics of the growing population speaking LOE in the United States and discuss qualitative and quantitative disparities in health care encounters for this population. Through Mateo’s experience, we highlight the transition of care at discharge as being highly vulnerable to communication breakdown, particularly for patients speaking LOE, and emphasize the additional impact of low health literacy on these challenges. Finally, we outline potential strategies to reduce disparities and improve outcomes for pediatric patients and families speaking LOE, focusing on (1) consistent and evidence-based interpreter use, (2) incorporation of health literacy–informed communication strategies in the discharge process, (3) reducing barriers to follow-up appointments or diagnostic testing, and (4) closed-loop communication with the patient’s primary care provider.

Weathering the Storm

The provision of palliative care has been seen to have a significant impact on the interprofessional health care team. Being emotionally present to support patients and families at their most stressful points in life can result in compassion satisfaction or compassion fatigue. Providing palliative care through the COVID-19 pandemic added another layer of complexity to this professional caregiving experience. Although efforts have been made by employers to support health care providers in the practices of self-care and mindfulness, the true experience of care providers was not known. This study was conducted from June 2020 to October 2020 to better understand the experiences of physicians, nurses, social workers, and spiritual care providers who were providing palliative care during the first wave of the pandemic. Twenty-five participants completed the Professional Quality of Life (The Concise ProQOL Manual: The Concise Manual for the Professional Quality of Life Scale) measure and open-ended questions to evaluate their experiences as health care providers. The findings resulted in an overarching theme of “Weathering the Storm” with 6 themes describing the experiences of the interprofessional team.

Global disparities in cancer care: Bridging the gap in affordability and access to medications between high and low‐income countries

AbstractBackgroundCancer remains a significant challenge for health care systems, despite notable progress in the field. These advancements have significant financial implications that disproportionately affect low‐income countries. This review article aims to explore the present state of drug development, assessing the availability of drugs in different income countries, and proposing potential solutions to address the inequality in access to new cancer treatments.MethodsA search was conducted on MEDLINE and PubMed on October 2, 2023 and updated on December 14, 2023, limited to English language articles.ResultsThere is a projected rise in cancer cases worldwide, particularly in low‐income countries where most cancer‐related deaths are expected. Although the approval rate of cancer treatments has risen, their excessive cost and lack of affordability pose significant barriers to widespread access. Disparities in the costs of crucial cancer medications are influenced by geographic location and procurement connections. Potential solutions to address the inequity in drug distribution include sharing production secrets, implementing price discrimination, international funding, improved primary health care measures, and the implementation of cost‐effective screening methods.ConclusionPreventing, screening for, and treating cancer should be a global priority with minimal differences in access to therapy among various countries.

The Doctors, Their Patients, and the Symptom Checker App: Qualitative Interview Study With General Practitioners in Germany

Background Symptom checkers are designed for laypeople and promise to provide a preliminary diagnosis, a sense of urgency, and a suggested course of action. Objective We used the international symptom checker app (SCA) Ada App as an example to answer the following question: How do general practitioners (GPs) experience the SCA in relation to the macro, meso, and micro level of their daily work, and how does this interact with work-related psychosocial resources and demands? Methods We conducted 8 semistructured interviews with GPs in Germany between December 2020 and February 2022. We analyzed the data using the integrative basic method, an interpretative-reconstructive method, to identify core themes and modes of thematization. Results Although most GPs in this study were open to digitization in health care and their practice, only one was familiar with the SCA. GPs considered the SCA as part of the “unorganized stage” of patients’ searching about their conditions. Some preferred it to popular search engines. They considered it relevant to their work as soon as the SCA would influence patients’ decisions to see a doctor. Some wanted to see the results of the SCA in advance in order to decide on the patient’s next steps. GPs described the diagnostic process as guided by shared decision-making, with the GP taking the lead and the patient deciding. They saw diagnosis as an act of making sense of data, which the SCA would not be able to do, despite the huge amounts of data. Conclusions GPs took a techno-pragmatic view of SCA. They operate in a health care system of increasing scarcity. They saw the SCA as a potential work-related resource if it helped them to reduce administrative tasks and unnecessary patient contacts. The SCA was seen as a potential work-related demand if it increased workload, for example, if it increased patients’ anxiety, was too risk-averse, or made patients more insistent on their own opinions.

Exploring what works well and less well in a community-based drop-in hub providing health and wellbeing services for people experiencing homelessness: a participatory action evaluation of service coordination

Abstract Background People experiencing homelessness often face obstacles accessing health and social care support. Challenges are further exacerbated when support provision for multiple unmet needs are not integrated or coordinated. To overcome these challenges, there has been growing attention on integrating and co-locating health and wellbeing services for people experiencing homelessness. In an urban area of North East England, a long-standing Hub or ‘drop-in centre’ offers a range of health and wellbeing support by bringing together the different health and care system agencies in one space. However, little is known about the perspectives of providers on what works well and less well in how the different services are coordinated. Methods Using a participatory action research approach, a qualitative service evaluation was undertaken between June and September 2023. Fourteen interviews were conducted with providers who work in a paid or voluntary capacity operating some of their service offerings or support in the Hub. Interview transcripts were analysed using inductive reflexive thematic analysis. Results Three themes were evident from the evaluation: 1) location and space matter, 2) co-location and relationships make a difference, and 3) service consistency and flexibility are paramount. Conclusion Co-locating support to cover the breadth of health and care needs has the potential to increase engagement and access for people experiencing homelessness, and to enhance trust with service users and between agencies. This model provides a unique example of co-location and integration of support, particularly with it being operated by a community housing organisation.

3D Printing‐Based Hydrogel Dressings for Wound Healing

AbstractSkin wounds have become an important issue that affects human health and burdens global medical care. Hydrogel materials similar to the natural extracellular matrix (ECM) are one of the best candidates for ideal wound dressings and the most feasible choices for printing inks. Distinct from hydrogels made by traditional technologies, which lack bionic and mechanical properties, 3D printing can promptly and accurately create hydrogels with complex bioactive structures and the potential to promote tissue regeneration and wound healing. Herein, a comprehensive review of multi‐functional 3D printing‐based hydrogel dressings for wound healing is presented. The review first summarizes the 3D printing techniques for wound hydrogel dressings, including photo‐curing, extrusion, inkjet, and laser‐assisted 3D printing. Then, the properties and design approaches of a series of bioinks composed of natural, synthetic, and composite polymers for 3D printing wound hydrogel dressings are described. Thereafter, the application of multi‐functional 3D printing‐based hydrogel dressings in a variety of wound environments is discussed in depth, including hemostasis, anti‐inflammation, antibacterial, skin appendage regeneration, intelligent monitoring, and machine learning‐assisted therapy. Finally, the challenges and prospects of 3D printing‐based hydrogel dressings for wound healing are presented.

Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study

Background Social media has become a vital tool for health care providers to quickly share information. However, its lack of content curation and expertise poses risks of misinformation and premature dissemination of unvalidated data, potentially leading to widespread harmful effects due to the rapid and large-scale spread of incorrect information. Objective We aim to determine whether social media had an undue association with the prescribing behavior of hydroxychloroquine, using the COVID-19 pandemic as the setting. Methods In this retrospective study, we gathered the use of hydroxychloroquine in 48 hospitals in the United States between January and December 2020. Social media data from X/Twitter was collected using Brandwatch, a commercial aggregator with access to X/Twitter’s data, and focused on mentions of “hydroxychloroquine” and “Plaquenil.” Tweets were categorized by sentiment (positive, negative, or neutral) using Brandwatch’s sentiment analysis tool, with results classified by date. Hydroxychloroquine prescription data from the National COVID Cohort Collaborative for 2020 was used. Granger causality and linear regression models were used to examine relationships between X/Twitter mentions and prescription trends, using optimum time lags determined via vector auto-regression. Results A total of 581,748 patients with confirmed COVID-19 were identified. The median daily number of positive COVID-19 cases was 1318.5 (IQR 1005.75-1940.3). Before the first confirmed COVID-19 case, hydroxychloroquine was prescribed at a median rate of 559 (IQR 339.25-728.25) new prescriptions per day. A day-of-the-week effect was noted in both prescriptions and case counts. During the pandemic in 2020, hydroxychloroquine prescriptions increased significantly, with a median of 685.5 (IQR 459.75-897.25) per day, representing a 22.6% rise from baseline. The peak occurred on April 2, 2020, with 3411 prescriptions, a 397.6% increase. Hydroxychloroquine mentions on X/Twitter peaked at 254,770 per day on April 5, 2020, compared to a baseline of 9124 mentions per day before January 21, 2020. During this study’s period, 3,823,595 total tweets were recorded, with 10.09% (n=386,115) positive, 37.87% (n=1,448,030) negative, and 52.03% (n=1,989,450) neutral sentiments. A 1-day lag was identified as the optimal time for causal association between tweets and hydroxychloroquine prescriptions. Univariate analysis showed significant associations across all sentiment types, with the largest impact from positive tweets. Multivariate analysis revealed only neutral and negative tweets significantly affected next-day prescription rates. Conclusions During the first year of the COVID-19 pandemic, there was a significant association between X/Twitter mentions and the number of prescriptions of hydroxychloroquine. This study showed that X/Twitter has an association with the prescribing behavior of hydroxychloroquine. Clinicians need to be vigilant about their potential unconscious exposure to social media as a source of medical knowledge, and health systems and organizations need to be more diligent in identifying expertise, source, and quality of evidence when shared on social media platforms.

Effectiveness of the Support From Community Health Workers and Health Care Professionals on the Sustained Use of Wearable Monitoring Devices Among Community-Dwelling Older Adults: Feasibility Randomized Controlled Trial

Background The wearable monitoring device (WMD) is emerging as a promising tool for community-dwelling older adults to monitor personal health, enhance awareness of their activities, and promote healthy behaviors. However, the sustained use of WMDs among this population remains a significant challenge. Objective This study aims to implement an interventional program that promotes and motivates the continued use of WMDs among older adults through a peer and professional support approach. This program will facilitate the integration of WMDs into their daily lives. Methods This feasibility trial examined the following: (1) the usability of the WMD from the users’ perspectives; (2) the feasibility of the Live With Wearable Monitoring Device program; and (3) the effectiveness of the Live With Wearable Monitoring Device program among community-dwelling older adults. The intervention, based on Self-Determination Theory, involved using the Live With Wearable Monitoring Device program over a 3-month period, with ongoing professional and peer support provided by community health workers, aided by a nurse and social workers. This support included 1 home visit and biweekly communication via WhatsApp. Data were collected at baseline and at 1, 3, and 6 months. Results A total of 39 participants were enrolled in the intervention group, while 37 participants were in the control group. The recruitment rate was high (76/89, 85%), and the attrition rate was low (8/76, 11%), indicating that the program is feasible for older adults. Participants in the intervention group exhibited higher self-efficacy, lower anxiety levels, and used the smartwatch more frequently, in terms of both days and hours, compared with the control group. A between-group difference was observed in self-efficacy between the intervention and control groups (β=3.31, 95% CI 0.36-6.25, P=.03), with statistically significant higher mean values recorded at all 4 time points. Conclusions It is clear that merely providing a WMD to older adults does not guarantee its usage, particularly for those unfamiliar with how to utilize its health-related functions in their daily routines. This study implemented a theory-based program aimed at enhancing the ongoing use of WMDs among older adults, suggesting that continuous professional and peer support may significantly influence WMD usage. Trial Registration ClinicalTrials.gov NCT05269303; https://clinicaltrials.gov/ct2/show/NCT05269303

Exploring the Experiences of Times Without Care and Encounters in Persons With Dementia in the Swiss and German Nursing Home and Domiciliary Care Settings: Protocol for an Ethnographic Multimethods Study

Background Persons with dementia spend a large part of the day without care and encounters, often without activity, as confirmed by numerous studies. However, no scientific analysis has examined how persons with dementia experience these periods. Such knowledge would be highly relevant for health care professionals and relatives to develop adequate strategies for dealing with times without care. Objective We aim to reconstruct times without care and encounters in persons with dementia in the nursing home and domiciliary care settings and develop a typology. This typology will address the lifeworld understandings of time and the ways of arranging the time of persons with dementia. Methods Our study is designed as an explorative, sequential multimethods investigation. We aim to systematically reconstruct times without care and encounters over a period of 36 months using ethnographic methods. Afterward, we will examine the resulting typology using a survey. To describe different social and caring cultures, practices, and arrangements, we will analyze time periods across all phases of dementia in (1) institutions exclusively caring for persons with dementia, (2) institutions where persons with dementia and those without live together, and (3) domiciliary care. For each type of care, our target is 10 intensive case observations. These observations will occur in both participatory and nonparticipatory ways. We video record selected situations and conduct situational conversations and interviews with persons with dementia and nurses. We are aiming for a minimum sample of 30 persons with dementia plus their caregivers (ie, relatives of people with dementia and professional caregivers). We will analyze data according to grounded theory methodology. Furthermore, we will perform a hermeneutic sequence analysis of selected text passages. To interpret the video material, we will conduct a video interaction analysis. To obtain complementary information about the newly developed typology, we will survey approximately 400 formal and 150 informal caregivers. We will summarize the ethnography and survey findings into an overall concept of times without care and encounters in persons with dementia. To fulfill the research objectives, our cross-disciplinary and cross-country team comprises researchers with expertise in nursing sciences, gerontology, sociology, psychology, and ethnography. Results Our approach allows formulating statements about the nature, frequency, and prevalence of times without care and encounters in people with dementia across countries and types of care. Thus, we will contribute to making visible the lifeworld of persons with dementia. Our study commenced in March 2022 and will conclude in May 2025. The results are expected to be published in the fall of 2025. Conclusions Our research offers points of departure for the representative investigation of times without care and encounters in persons with dementia, for the development of diagnostic instruments, and for dealing critically with possibilities of interruption (eg, by developing targeted interventions). International Registered Report Identifier (IRRID) DERR1-10.2196/58190

Effect of Improved Provider Communication and Adherence to Guidelines on PrEP Initiation in Kisumu Kenya

Introduction: Adolescent girls and young women (AGYW) in Kenya have low pre-exposure prophylaxis (PrEP) initiation rates in part due to stigmatizing interactions with health care providers. Our recent randomized clinical trial of a standardized patient actor (SP) training intervention for providers found higher quality PrEP delivery at intervention sites, however it was unclear whether improved service quality improved PrEP initiation. Methods: This analysis used routine records from facilities participating in the randomized trial which aimed to improve provider communication and adherence to Kenyan guidelines when offering PrEP to AGYW. We utilized facility-level PrEP registers from May-December 2019 as the baseline period and December 2020-June 2021 as the post-intervention period. We used linear regression with percent initiating as the outcome, intervention and baseline initiation levels as covariates, and the number eligible post-intervention at each facility as frequency weights. Results: Overall, 1,375 AGYW presented to study sites, were eligible for PrEP, and were included in analyses (baseline: n=706, post-intervention: n=669). Among 669 PrEP-eligible AGYW in the post-intervention period (intervention: n=360, control: n=309), 591 (88.3%) initiated PrEP (intervention: n=335, control: n=256). PrEP initiation was 93.1% at intervention sites (range: 0%-100%) and 82.8% at control sites (range: 0%-100%). Adjusted for baseline initiation rates, initiation was 12.1% higher at intervention sites compared to control sites (p<0.001, [95% CI: 0.09, 0.15]). Conclusions: Our study found significant improvement in PrEP initiation among AGYW who presented to intervention facilities. SP training interventions that improve quality of service delivery for AGYW could lead to higher population-level PrEP coverage.

Economic and health impacts of China’s comprehensive health care system reform

Economic and health impacts of China’s comprehensive health care system reform

Associations of Clinical Characteristics With Sudden Cardiac Arrest in People With Type 2 Diabetes With and Without Cardiovascular Disease: A Longitudinal Case-Control Study Using Routine Primary Care Data

OBJECTIVE To assess longitudinal associations with sudden cardiac arrest (SCA) of clinical characteristics recorded in primary care in people with type 2 diabetes (T2D), both with and without cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS We performed a case-control study, with SCA case subjects with T2D from the Amsterdam Resuscitation Studies (ARREST) registry of out-of-hospital resuscitation attempts in the Dutch Noord-Holland region (2010–2020) and up to five matched (age, sex, T2D, general practitioner [GP] practice) non-SCA control subjects. We collected relevant clinical measurements, medication use, and medical history from GPs’ electronic health care records. We analyzed the associations of clinical characteristics and medication use with SCA in the total sample and in subgroups with or without CVD using multivariable time-dependent Cox regression (hazard ratios, 95% confidence intervals). RESULTS We included 689 SCA case subjects and 3,230 non-SCA control subjects. In multivariable models, low fasting glucose (<4.5 mmol/mol: 1.91 [1.00–3.64]), antihypertensive (1.80 [1.39–2.33]), glucose lowering (oral only: 1.32 [1.06–1.63]; insulin only: 2.31 [1.71–3.12]; oral and insulin: 1.64 [1.21–2.22]), heart failure (1.91 [1.55–2.35]), and QTc-prolonging prokinetic (1.78 [1.27–2.50]), antibiotic (1.35 [1.05–1.73]), and antipsychotic (2.10 [1.42–3.09]) medication were associated with SCA in the total sample. In subgroup effect modification analyses, QTc-prolonging antibiotic (1.82 [1.26–2.63]) and antipsychotic (3.10 [2.09–4.59]) medication use were associated with SCA only in those without CVD. CONCLUSIONS In people with T2D, low fasting glucose and QTc-prolonging prokinetic, antibiotic, or antipsychotic medication use and a history of heart failure are associated with SCA risk. Subgroup analyses indicate antibiotic and antipsychotic medication use increases SCA risk specifically in those without CVD.

Food insecurity in the community: a cross-sectional study in the Portuguese and immigrant population of Amadora

Introduction: Food insecurity, defined as limited or uncertain access to adequate food, is recognized as a public health problem linked to poor eating habits, chronic diseases, and social inequalities. This study aims to characterize and compare food insecurity status among immigrant and Portuguese populations receiving primary health care in Amadora. Methods: A cross-sectional study was conducted based on interviews with individuals aged 18 and above, living in Amadora for at least one year. Sociodemographic and health status variables were collected, and food insecurity was assessed using a Portuguese adapted version of the US Department of Agriculture Household Food Security Survey Module. Data analysis included binary logistic regression to explore the predictive capacity of variables, with food insecurity as the outcome. Results: The estimated prevalence of household food insecurity was 29.7%, with 10.5% classified as severely food insecure. Single individuals (OR 3.090; IC 1.353-7.059), those with basic education (OR 3.296; IC 1.175-9.247); immigrants (OR 4.358; IC 2.206-8.611), households with three or more members (OR 2.686; IC 1.019-7.079), and incomes below €1100 (OR 7.359; IC 2.613-20.726) were more likely to belong to food insecure households. When Portuguese households were analysed, low income (OR 8.730; IC 2.607-29.232) and smoking habits (OR 3.375; IC 1.345-8.469) were found to be potential determinants of food insecurity. As for immigrant households, being single (OR 6.002; IC 1.404-25.659), having a household with three or more members (OR 13.953; IC 2.119-91.887), and low income (OR 7.110; IC 1.257-40.226) increased the risk of food insecurity. Conclusion: The results of this study show that food insecurity is significantly associated with sociodemographic and health factors, with differences between Portuguese and immigrant populations. Awareness of this problem and the need for monitoring should therefore be raised to prioritize community interventions.

Individual and System Level Factors Contributing to Guideline Non-Adherent Surgical Antibiotic Prophylaxis at a Tertiary Health Care System: A Qualitative Analysis

Background Antibiotics play a crucial role in preventing surgical site infections, yet adherence to Infectious Disease Society of America (IDSA) guidelines varies widely. This qualitative study aimed to explore factors influencing perioperative antibiotic administration and assess the potential impact of a clinical decision support (CDS) tool on guideline adherence. Methods In this qualitative study, perioperative personnel with diverse roles (surgeons, anesthesiologists, certified nurse anesthetists, trainees, and pharmacists) were interviewed using a semi-structured interview format from September 2023 through April 2024. Interviews were then analyzed for codes which were assigned to concepts using the constant comparison method for assessment of factors that were described as barriers or facilitators of guideline adherence. Results After piloting with three interviews, we conducted nine sessions with a total of 17 participants: 7 attending anesthesiologists, 3 resident trainees, 2 perioperative pharmacists, 3 Certified Registered Nurse Anesthetists (CRNAs), and 2 attending surgeons. Key themes emerged: (1) Limited familiarity with Infectious Disease Society of America (IDSA) antibiotic guidelines, (2) Lack of standardization and optimization of antibiotic decision-making process, (3) Challenges with managing beta-lactam allergies, (4) Difficulty optimizing vancomycin timing, and (5) Perceived benefit of a Clinical Decision Support (CDS) tool in enhancing workflow and guideline adherence. Conclusions Non-adherence to antibiotic guidelines in the perioperative setting often results from a lack of structured workflow. Our interviews provide a foundation for developing a clinical decision support tool tailored to provider needs, aiming to improve user satisfaction and promote better adherence to perioperative antibiotic guidelines.