How Does the Proportion of Child-Specific Content of Pre-Registration Nursing Programmes in Higher Education Institutions Impact Upon Newly Qualified Registered Nurses' Perceptions of Preparedness to Care for Children, Young People, and Their Families? A Narrative Review Protocol.

This paper presents a narrative review protocol to explore how the proportion of child-specific content of pre-registration programmes in universities impact upon newly qualified nurses' perceptions of preparedness to care for children, young people (CYP), and their families. The preparation and education to become a nurse who cares for children and young people differs from country to country. Providers of pre-registration nurse education offer routes into nursing from diploma to degree and in some countries post-graduate routes. The United Kingdom offers pre-registration programmes leading to qualifying as a children's nurse whereas programmes in countries such as the USA and Canada lead to a professional registration as a registered nurse with postgraduate study to specialize in areas such as pediatrics. The role of pre-registration nursing programmes is to facilitate preparedness for practice. Preparation for practice can include theoretical teaching and practice learning through simulation and face-to-face experience with countries requiring different numbers of practice hours to be completed. Although practice hours are central to nursing education, there is limited evidence on the impact and portion of child-specific content, including clinical learning in preparation of newly qualified nurses to care for CYP and their families. A preliminary search of Prospero, CINAHL, Medline and Cochrane Database indicates that there are no current or in progress reviews identified. The Population of interest, Exposure of interest, and Outcome framework were used to define the research question and inform the eligibility criteria. The review will consider different research designs if related to the research question. The search strategy will conform to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for systematic reviews. Two independent reviewers will be involved in the screening progress to determine the final studies for inclusion. Eligible studies will be assessed for methodological quality using the Joanna Briggs Institute critical appraisal tools. Extraction of study characteristics and data related to the research question will be extracted into a predefined table. Data synthesis will be conducted using a descriptive analytical approach to summarize extracted data.

Learning, internalisation and integration of the COVID-19 pandemic in healthcare workers: A qualitative document analysis.

The COVID-19 pandemic triggered an unprecedented health crisis that impacted healthcare systems worldwide. This study explores how Spanish healthcare workers learned, internalised and integrated values and work behaviours during the COVID-19 pandemic and their impact on the personal sphere. This documentary research, using images, narratives and audiovisual content, was framed within the interpretative hermeneutic paradigm. Categories and subcategories emerged after a final theoretical sampling that focused on the analysis. Data triangulation between researchers favoured theoretical saturation. A total of 117 images and 27 texts were selected. The analysis identified three stages: bewilderment, seeking functionality in the chaos and integrating chaos into care. The data reflects how the need for security and knowledge, and the exhaustion and frustration caused by the initial working conditions, prompted adaptive responses. These responses involved focusing on problem-solving and strengthening group sentiments and solidarity. Subsequently, the data indicates the acceptance of new structural, organisational and communication aspects. The findings of the analysis will contribute towards finding a framework that can help understand community health crisis events.

Searching for Linearity: Reconstructive Processes Reverse Temporal Scrambling in Memory for Movie Scenes.

Meaning-making and temporal memory are closely intertwined, yet we still do not know how the overall understanding of complex events affects retrospective temporal judgments. The present study investigated the effect of a manipulation of the temporal linearity of a narrative on the subsequent memory-for-time performance. Participants indicated the time of occurrence of short video clips extracted from a previously encoded movie on a horizontal timeline representing the movie duration. Importantly, a group of participants (N = 20) watched the original movie, which depicts events occurring in chronological order, whereas another group (N = 30) watched a scrambled version of the same movie in which the temporal linearity was lost. This procedure allowed us to measure the quantity and direction of the temporal memory bias. The scrambled presentation produced a mild and general impairment of recognition memory compared to the linear presentation. More importantly, it biased temporal judgments as a function of the direction and amount of discrepancy between the story and the viewing time, in accordance with an automatic reshaping of temporal memory caused by a chronological representation of the storyline. This effect could be distinguished from a tendency to move judgments toward the center of the timeline, independently from the specific scrambling arrangement, consistent with the idea that the non-linearity of the story also generally increased the degree of temporal uncertainty. Taken together, our results provide further evidence that temporal memories are automatically reconstructed according to the general meaning of the events.

Attention-language interface in Multilingual Assessment instrument for Narratives.

The current study employed the Multilingual Assessment Instrument for Narratives (MAIN) to test comprehension of narrative macrostructure in Russian in a visual world eye-tracking paradigm. The four MAIN visual narratives are structurally similar and question referents' goals and internal states (IS). Previous research revealed that children's MAIN comprehension differed among the four narratives in German, Swedish, Russian, and Turkish, but it is not clear why. We tested whether the difference in comprehension was (a) present, (b) caused by complicated inferences in understanding IS compared with goals, and (c) ameliorated by orienting visual attention to the referents whose IS was critical for accurate comprehension. Our findings confirmed (a) and (b) but found no effect of attentional cues on accuracy for (c). The multidimensional theory of narrative organization of children's knowledge of macrostructure needs to consider the type of inferences necessary for IS that are influenced by subjective interpretation and reasoning.

Preliminary Danish Norms for the Odense Child Trauma Screening (OCTS).

The Odense Child Trauma Screening (OCTS) is Danish story stem screening tool applicable for assessment of preschoolers and young children in risk of being traumatized. Having shown initial evidence of validation, Danish norms are needed to strengthen the clinical assessment with the OCTS by serving as a baseline comparison for assessment of potentially traumatized children. We tested 169 children from the Danish general population aged 4-8 with the OCTS and investigated sex and age differences in play-based behavior and narrative representations. Caregivers reported electronically on child demographic information, psychosocial functioning, and history of trauma exposure using The Strengths and Difficulties Questionnaire (SDQ) and The Diagnostic Infant and Preschool Assessment (DIPA) trauma list. Across the 145 scores of the OCTS coding scheme, significant sex and age differences were only found in five and sixteen scores respectively. In the five codes where significant sex differences were observed, boys' normative scores were higher. No significant sex differences were found in the partial story scores or the OCTS total score. Three significant age differences in partial story and OCTS total scores emerged with 4-year-olds scoring higher than 6-8-year-olds. We further found 13 significant age differences in code scores with higher scores among the youngest of the two groups in question suggesting that scores tend to decrease along older age. Few significant sex and age differences were found in children's OCTS play-based behavior and narrative representations. Indicative of few sex and age biases of the OCTS coding scheme and stories, results suggest that the OCTS can be applied across the intended target group of children aged 4 to 8 years. As higher scores were found in the younger age groups, clinicians should be attentive to age in certain codes of the OCTS coding scheme in their assessment of children in clinical practice. The preliminary normative scores must be interpreted and clinically applied with caution due to our non-representative sample and lack of analyses on factors potentially influencing children's responses to the OCTS (e.g., developmental, contextual, cultural factors). Supplementary Information: The online version contains supplementary material available at 10.1007/s40653-024-00616-7.

Chronic thromboembolic pulmonary hypertension: the diagnostic assessment.

Chronic Thromboembolic Pulmonary Hypertension (CTEPH) presents a significant diagnostic challenge due to its complex and often nonspecific clinical manifestations. This review outlines a comprehensive approach to the diagnostic assessment of CTEPH, emphasizing the importance of a high index of suspicion in patients with unexplained dyspnea or persistent symptoms post-acute pulmonary embolism. We discuss the pivotal role of multimodal imaging, including echocardiography, ventilation/perfusion scans, CT pulmonary angiography, and magnetic resonance imaging, in the identification and confirmation of CTEPH. Furthermore, the review highlights the essential function of right heart catheterization in validating the hemodynamic parameters indicative of CTEPH, establishing its definitive diagnosis. Advances in diagnostic technologies and the integration of a multidisciplinary approach are critical for the timely and accurate diagnosis of CTEPH, facilitating early therapeutic intervention and improving patient outcomes. This manuscript aims to equip clinicians with the knowledge and tools necessary for the efficient diagnostic workflow of CTEPH, promoting awareness and understanding of this potentially treatable cause of pulmonary hypertension.

Ketoconazole Shampoo for Seborrheic Dermatitis of the Scalp: A Narrative Review.

Seborrheic dermatitis (SD) is a common inflammatory skin condition characterized by itchy, sensitive patches of greasy, flaky skin in areas rich in sebaceous glands, such as the scalp. Cases range from asymptomatic to debilitating, with effective treatment in severe cases proving crucial to patient quality of life. Ketoconazole shampoo is a topical antifungal that is a promising treatment option for individuals affected by this condition.Numerous trials display significant improvement in irritation and scaling of scalp seborrheic dermatitis (SSD) with ketoconazole shampoo treatment. Most studies also report optimally low relapse rates as well as little to no side effects, including rare skin irritation that resolves with cessation of the drug. Based on these findings, ketoconazole shampoo seems to be a safe and effective treatment for SSD.The present investigation reviews knowledge and research regarding ketoconazole shampoo as a treatment for SSD for physician consideration in the clinical setting.

Microfluidic Platform for Generating and Releasing Patient-Derived Cancer Organoids with Diverse Shapes: Insight into Shape-Dependent Tumor Growth.

Multicellular spheroids and patient-derived organoids find many applications in fundamental research, drug discovery, and regenerative medicine. Advances in the understanding and recapitulation of organ functionality and disease development require the generation of complex organoid models, including organoids with diverse morphologies. Microfluidics-based cell culture platforms enable time-efficient confined organoid generation. However, the ability to form organoids with different shapes with a subsequent transfer from microfluidic devices to unconstrained environments for studies of morphology-dependent organoid growth is yet to be demonstrated. Here, a microfluidic platform is introduced that enables high-fidelity formation and addressable release of breast cancer organoids with diverse shapes. Using this platform, the impact of organoid morphology on their growth in unconstrained biomimetic hydrogel is explored. It is shown that proliferative cancer cells tend to localize in high positive curvature organoid regions, causing their faster growth, while the overall growth pattern of organoids with diverse shapes tends to reduce interfacial tension at the organoid-hydrogel interface. In addition to the formation of organoids with diverse morphologies, this platform can be integrated into multi-tissue micro-physiological systems.

Balinese story texts dataset for narrative text analyses.

Automatic narrative text analysis is gaining traction as artificial intelligence-based computational linguistic tools such as named entity recognition systems and natural language processing (NLP) toolkits become more prevalent. Character identification is the first stage in narrative text analysis; however, it is difficult due to the diversity of appearances and distinctive characteristics among regions. Further challenging analyses, such as role classification, emotion and personality profiling, and character network development, require successful character identification initially, which is crucial. Because there are so many annotated English datasets, computational linguistic tools are mostly focused on English literature. However, there are restricted tools for analyzing Balinese story texts because of a scarcity of low-resource language datasets. The study presents the first annotated Balinese story texts dataset for narrative text analyses, consisting of four sub-datasets for character identification, alias clustering (named entity linking, alias resolution), and character classification. The dataset is a compilation of 120 manually annotated Balinese stories from books and public websites, spanning multiple genres such as folk tales, fairy tales, fables, and mythology. Two Balinese native speakers, including an expert in sociolinguistics and macrolinguistics, annotated the dataset using predetermined guidelines set by an expert. The inter-annotator agreement (IAA) score is calculated using Cohen's Kappa Coefficient, Jaccard Similarity Coefficient, Mean F1-score to measure the level of agreement between annotators and dataset consistency and its reliability. The first subdataset consists of 89,917 annotated words with five labels referring to the Balinese-character named entities. Each character entity's appearance in 6,634 sentences is further annotated in the second subdataset. These two sub-datasets can be used for character identification purposes at the word and sentence level. The list of character groups which are groups of various aliases for each character entity has been annotated in the third subdataset for alias clustering purposes. The third subdataset contains 930-character groups from 120 story texts with each story text containing an average of 7-to-8-character groups. In the fourth subdataset, 848-character groups-of the 930-character groups in the third subdataset-have been categorized as protagonists and antagonists. The protagonists (66.16 %) make up most character groups, with the antagonists (33.84 %) making up the rest of the groups. The fourth subdataset can be used for computing-based classification of characters into two roles between protagonist and antagonist. These datasets have the potential to improve research in narrative text analyses, especially in the areas of computational linguistic tools and advanced machine learning (ML) and deep learning (DL) models in low resource languages. It can also be used for further research including character network development, character relationship extraction, and character classification beyond protagonist and antagonist.

Future considerations for implementation and impact of community narrative initiatives.

In response to communities where individuals experience both disproportionate numbers of Adverse childhood experiences (ACEs) and other health inequities, narrative change has emerged as a powerful tool to change how ACEs are viewed and addressed by communities. The special issue presents a set of papers examining efforts to use narrative change to address ACEs. In this commentary, we offer reflections on the introduction and three articles of the special issue and point to future considerations for implementation and impact of community narrative initiatives. For example, we assert that to prevent and address the outcomes of ACEs such as substance use and mental health problems, communities need to include and amplify the voices of those with lived experience during decision-making about policy. We also espouse using research models of resilience in communities as a way to further uptake of narrative change strategies in the literature on ACEs and health disparities in communities. Using trauma-informed outcomes and measures are also critical to measure how narrative change can move the needle to promote health equity.

Exploring risk factors and determinants: A scoping review of factors associated with nomophobia.

Background: Nomophobia or no-mobile-phone phobia, defined as the fear of being unable to use or being unreachable via one's mobile phone. The pervasive concern has varied bio-psychosocial and clinical implications in an individual's life. Nomophobia is currently in an exploratory phase. Methods: A scoping review was conducted to systematically map the relevant evidence and literature on nomophobia. The review of scholarly literature spanning from January 2010 to May 2023 employed a narrative synthesis methodology to succinctly encapsulate the research findings. Additionally, it encompassed a meticulous examination and visual representation of studies, detailing both the frequency of investigation into specific variables and the instances in which said variables exhibited a statistically significant association with nomophobia. Results: A thorough examination of 92 studies revealed a total of 133 variables spanning demographic, lifestyle-related, academic, smartphone-related, psychosocial, and clinical domains. Notably, 42.86% of these variables have only been investigated in a single research study, underscoring the imperative for replication to enhance the generalizability, validity, and applicability of research findings. Moreover, the review identifies Nomophobia Questionnaire (NMP-Q) by Yildirim and Correia as the most widely used tool for measuring the severity of nomophobia. Conclusion: There is a crucial need for homogeneity and consistency in reporting nomophobia scores and establishing corresponding gradations indicative of functional ramifications or clinical severity of nomophobia. The findings elucidate significant research gaps in existing literature on nomophobia, hold implications for further synthesis of data, and contribute to a comprehensive understanding of nomophobia; ensuring superior diagnostic accuracy and precision, and facilitating successful delivery of targeted interventions.

Evaluating the Adoption of mHealth Technologies by Community Health Workers to Improve the Use of Maternal Health Services in Sub-Saharan Africa: Systematic Review.

BACKGROUND: Limited information exists on the impact of mobile health (mHealth) use by community health workers (CHWs) on improving the use of maternal health services in sub-Saharan Africa (SSA). OBJECTIVE: This systematic review addresses 2 objectives: evaluating the impact of mHealth use by CHWs on antenatal care (ANC) use, facility-based births, and postnatal care (PNC) use in SSA; and identifying facilitators and barriers to mHealth use by CHWs in programs designed to increase ANC use, facility-based births, and PNC use in SSA using a sociotechnical system approach. METHODS: We searched for articles in 6 databases (MEDLINE, CINAHL, Web of Science, Embase, Scopus, and Africa Index Medicus) from inception up to September 2022, with additional articles identified from Google Scholar. After article selection, 2 independent reviewers performed title and abstract screening, full-text screening, and data extraction using Covidence software (Veritas Health Innovation Ltd). In addition, we manually screened the references lists of the included articles. Finally, we performed a narrative synthesis of the outcomes. RESULTS: Among the 2594 records retrieved, 10 (0.39%) studies (n=22, 0.85% articles) met the inclusion criteria and underwent data extraction. The studies were published between 2012 and 2022 in 6 countries. Of the studies reporting on ANC outcomes, 43% (3/7) reported that mHealth use by CHWs increased ANC use. Similarly, of the studies reporting on facility-based births, 89% (8/9) demonstrated an increase due to mHealth use by CHWs. In addition, in the PNC studies, 75% (3/4) showed increased PNC use associated with mHealth use by CHWs. Many of the studies reported on the importance of addressing factors related to the social environment of mHealth-enabled CHWs, including the perception of CHWs by the community, trust, relationships, digital literacy, training, mentorship and supervision, skills, CHW program ownership, and the provision of incentives. Very few studies reported on how program goals and culture influenced mHealth use by CHWs. Providing free equipment, accessories, and internet connectivity while addressing ongoing challenges with connectivity, power, the ease of using mHealth software, and equipment maintenance support allowed mHealth-enabled CHW programs to thrive. CONCLUSIONS: mHealth use by CHWs was associated with an increase in ANC use, facility-based births, and PNC use in SSA. Identifying and addressing social and technical barriers to the use of mHealth is essential to ensure the success of mHealth programs. TRIAL REGISTRATION: PROSPERO CRD42022346364; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=346364.

Journeys to functionality: A dimensional analysis of personal narratives of recovery from depression.

BACKGROUND: Recovery from depression constitutes a long journey that is understood as a unique and multifaceted process encompassing various dimensions. To understand what constitutes recovery from depression and to develop greater insights into the unique dimensions of the recovery journey, the study of recovery memoirs is essential. METHOD: This article performs a dimensional analysis on six Indian first-hand accounts of recovery from depression collected in Amrita Tripathi and Arpita Anand's Real Stories of Dealing with Depression to examine the journeys toward healing and the uniqueness of the recovery processes. Through the dimensional analysis, four core dimensions of recovery from depression-Problems, Social Supports, Position of Recovery and Functionality-are identified. The process of recovery, consisting of understanding the problems (causes) through sensed adversities (sensed effects), making use of received social supports to transform oneself, finding out the position of recovery, and lastly, functioning peacefully for living, corresponds to the four dimensions of recovery. Drawing on Herbert Blumer's theory of social interactionism, the article examines how different individuals interpret their experiences of depression in unique ways and develop distinctive recovery strategies. DISCUSSION: The identified dimensions of recovery correspond to the need for unique approaches to recovery articulated by each of the narrators. The selected narratives reveal that the problems are unique, and for each of the unique problems, there has to be a distinctive support mechanism. The recovery narratives are centred around the unique problems wherein the individuals attempt to understand what happened to them and why it happened. CONCLUSION: The article concludes by suggesting that healthcare practitioners can utilise the dimensions and the subdimensions as a lead to understand fully how their clients conceptualise their problems and try to understand how each client defines the recovery itself.

Maternal obesity management: a narrative literature review of health policies.

Maternal obesity rates are increasing significantly, posing substantial risks to both mothers and their children. This study aims to introduce health policies addressing maternal obesity, identify preventive interventions, and highlight scientific gaps necessitating further research.We identified documents through electronic searches in PubMed, CINAHL Plus, EMBASE, and grey literature sources (ministry of health websites, national gynecology and obstetrics associations) from January 2013 to August 2023, updated in June 2024. The inclusion criteria focused on English-language documents discussing interventions or health policies that promote weight loss through lifestyle changes during pregnancy.A total of 22 documents (10 studies and 12 guidelines) were included. 12 studies (N=1244) identified via databases; included two Clinical Practice Guidelines (CPGs) from Canada and Singapore. Other 10 CPGs sourced from governmental websites and national associations: England (1), Australia (1), New Zealand (1), combined Australia and New Zealand (1), Canada (3), USA (1), Ireland (1), Germany (1). 10 guidelines focused on obesity in pregnancy, two on weight management during pregnancy. Covered interventions across pre-pregnancy, pregnancy, and postpartum periods (9 guidelines); pre-pregnancy and pregnancy (2); exclusively postpartum (1). Seven guidelines offered evidence-based recommendations on maintaining healthy weight in mothers, largely based on expert opinions.Maternal obesity poses significant risks to both mothers and children, underscoring the need for effective health policies and systems. However, few countries have integrated adequate responses into their healthcare policies and guidelines for professionals. Limited evidence exists on optimal practices to improve reproductive health outcomes in obese women. Hence, the crucial need to developing comprehensive guidelines and proactive strategies to manage maternal obesity. These measures can improve outcomes and reduce healthcare costs. Increased focus on research and policymaking is essential to protect the health of mothers and their children.

Single nucleotide polymorphisms in the development of osteomyelitis and prosthetic joint infection: a narrative review.

Currently, despite advancements in diagnostic and therapeutic modalities, osteomyelitis and prosthetic joint infection (PJI) continue to pose significant challenges for orthopaedic surgeons. These challenges are primarily attributed to the high degree of heterogeneity exhibited by these disorders, which are influenced by a combination of environmental and host factors. Recent research efforts have delved into the pathogenesis of osteomyelitis and PJI by investigating single nucleotide polymorphisms (SNPs). This review comprehensively summarizes the current evidence regarding the associations between SNPs and the predisposition to osteomyelitis and PJI across diverse populations. The findings suggest potential linkages between SNPs in genes such as IL-1, IL-6, IFN-γ, TNF-α, VDR, tPA, CTSG, COX-2, MMP1, SLC11A1, Bax, NOS2, and NLRP3 with the development of osteomyelitis. Furthermore, SNPs in genes like IL-1, IL-6, TNF-α, MBL, OPG, RANK, and GCSFR are implicated in susceptibility to PJI. However, it is noted that most of these studies are single-center reports, lacking in-depth mechanistic research. To gain a more profound understanding of the roles played by various SNPs in the development of osteomyelitis and PJI, future multi-center studies and fundamental investigations are deemed necessary.

How Students Learn during the Pre-Briefing and Observation of Facilitation in a High-Fidelity Patient Simulation: A Narrative Analysis.

The rapid development of technology has led to the emergence of innovative teaching approaches, such as high-fidelity patient simulation (HFPS). HFPSs have been shown to significantly enhance students' decision-making and intellectual skills. This study aimed to investigate how students learn from the pre-briefing to observation period of the facilitation of the HFPS based on the original quasi-experimental studies. This study analyzed the narratives from 92 students in the intervention group about their learning during the pre-briefing and observation of facilitation. The results indicated that the students learned more independently, received better support and resources for learning, were provided with more appropriate and safe care for the simulated case, and developed higher-level intellectual skills, such as self-directed learning, critical thinking, and clinical reasoning. Importantly, the structured guidelines provided roles and responsibilities and guiding questions or aspects for observation that directed the students to learn more actively and effectively while performing their roles in the HFPS. The structured guidelines serve as a roadmap to instruct students on learning during pre-briefing and applying what they have learned during the facilitation of the HFPS. This roadmap includes the learning journey from novice to competence in knowledge and skills and also from knowing to application. Therefore, this study's results have contributed important knowledge about well-structured HFPS guidelines for all stages of the HFPS, addressing the need for adequate guidance and learning support during the pre-briefing and observation of facilitation. The elements identified during the pre-briefing and observation of facilitation are crucial for directing students to learn and significantly enhance their understanding and application of knowledge and skills, ultimately promoting the development of higher-level intellectual skills, professionalism, and engagement. Nurse educators can incorporate these elements into HFPS training in curricula to enhance students' involvement and optimize the HFPS as an effective teaching tool with structured guidelines providing guidance and support throughout various stages of HFPS training.

Extracorporeal Shock Wave Therapy (eSWT) in Spinal Cord Injury-A Narrative Review.

BACKGROUND: Injury of the spinal cord causes motor and sensory dysfunction as well as pathological reflexes, leading to paraplegia or tetraplegia. The sequelae of traumatic spinal cord injury (SCI) are a significant burden and impact on healthcare systems. Despite constant progress in medicine, traumatic SCI still remains irreversible. To date, no satisfying treatment that can enable neuronal regeneration and recovery of function at the damaged level has been found. Hundreds of experiments have been conducted on various possibilities of influencing spinal regeneration; some of them have yielded promising results, but unfortunately, the successes obtained in experimental animals have not translated into humans. METHODS: This narrative review article presents the application of extracorporeal shock wave therapy (eSWT) in patients with SCI. The article has been divided into parts: 1) use of extracorporeal shock wave therapy for regeneration of the spinal cord after traumatic spinal cord injury; 2) application of extracorporeal shock wave therapy in spasticity after spinal cord injury. In both cases, the hypotheses of possible mechanisms of action will be described. RESULTS AND CONCLUSIONS: A small number of clinical trials have demonstrated the potential of eSWT to influence the regeneration of the spine, as an innovative, safe, and cost-effective treatment option for patients with SCI. Some reports have shown that eSWT can improve spasticity, walking ability, urological function, quality of life, and independence in daily life.

Remote Patient Monitoring and Machine Learning in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Dual Systematic Literature Review and Narrative Synthesis.

BACKGROUND: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are associated with high mortality, morbidity, and poor quality of life and constitute a substantial burden to patients and health care systems. New approaches to prevent or reduce the severity of AECOPD are urgently needed. Internationally, this has prompted increased interest in the potential of remote patient monitoring (RPM) and digital medicine. RPM refers to the direct transmission of patient-reported outcomes, physiological, and functional data, including heart rate, weight, blood pressure, oxygen saturation, physical activity, and lung function (spirometry), directly to health care professionals through automation, web-based data entry, or phone-based data entry. Machine learning has the potential to enhance RPM in chronic obstructive pulmonary disease by increasing the accuracy and precision of AECOPD prediction systems. OBJECTIVE: This study aimed to conduct a dual systematic review. The first review focuses on randomized controlled trials where RPM was used as an intervention to treat or improve AECOPD. The second review examines studies that combined machine learning with RPM to predict AECOPD. We review the evidence and concepts behind RPM and machine learning and discuss the strengths, limitations, and clinical use of available systems. We have generated a list of recommendations needed to deliver patient and health care system benefits. METHODS: A comprehensive search strategy, encompassing the Scopus and Web of Science databases, was used to identify relevant studies. A total of 2 independent reviewers (HMGG and CM) conducted study selection, data extraction, and quality assessment, with discrepancies resolved through consensus. Data synthesis involved evidence assessment using a Critical Appraisal Skills Programme checklist and a narrative synthesis. Reporting followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. RESULTS: These narrative syntheses suggest that 57% (16/28) of the randomized controlled trials for RPM interventions fail to achieve the required level of evidence for better outcomes in AECOPD. However, the integration of machine learning into RPM demonstrates promise for increasing the predictive accuracy of AECOPD and, therefore, early intervention. CONCLUSIONS: This review suggests a transition toward the integration of machine learning into RPM for predicting AECOPD. We discuss particular RPM indices that have the potential to improve AECOPD prediction and highlight research gaps concerning patient factors and the maintained adoption of RPM. Furthermore, we emphasize the importance of a more comprehensive examination of patient and health care burdens associated with RPM, along with the development of practical solutions.

Recounting the untold stories of breast cancer patient experiences: lessons learned from a patient-public involvement and engagement storytelling event.

OBJECTIVES: Breast cancer remains a prevalent disease in women worldwide. Though advancements in breast cancer care have improved patient survival, a breast cancer diagnosis, and subsequent interventions have a lasting impact on patients' lived experiences during the pandemic. METHODS: We present the collaborative learning process from this patient engagement workshop series as a community-academic partnership. Narrative medicine tools were used to recount patients' lived experiences following diagnosis, where both patients and researchers shared their cancer research activities in each workshop, and the role of the multidisciplinary healthcare team was discussed. KEY FINDINGS: We used an iterative approach to cohort building, narrative development, and the use of multiple media formats to capture stories. Over 20 patients with breast cancer shared their stories for the first time since their diagnosis with a wider audience. Here, we present the learning process and considerations from this event. CONCLUSIONS: Understanding patients' lived experiences can support researchers and healthcare professionals in developing an empathetic approach to shared healthcare decision making. Moreover, understanding the lived experiences of patients is critical to addressing disparities in healthcare.