School Perceptions and Attendance for Children With Medical Complexity During COVID-19 Over Time.

BACKGROUND: Disparities in school attendance exist for children with medical complexity (CMC) due to COVID-19. Longitudinal changes in family-reported school safety perceptions and predictors of full-time, in-person school attendance are unknown. METHODS: This was a prospective, longitudinal cohort study with 3 survey waves (June 2021-June 2022) among English- and Spanish-speaking families of CMC aged 5 to 17 years and pre-pandemic school attendance. Changes in Health Belief Model perceptions and full-time in-person school attendance were estimated using multivariate generalized linear modeling with repeated measures. RESULTS: Among 1601 respondents (52.9% of 3073 invited), 86.8% participated in all 3 surveys. School safety perceptions improved with time; however, perceived susceptibility to COVID-19 increased. Full-time in-person school attendance rose from 48.4% to 90.0% from wave 1 to 3 (p < .0001), and was associated with motivation, benefits, and cues. For example, families with low compared to high motivation for in-person attendance had 76% versus 98% predicted probability for child's school attendance, respectively at wave 3 (p < .0001). IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY: Probability of full-time in-person school attendance was associated with several health belief model perceptions. School health policy and programs may benefit from promoting family motivation, benefits, and cues during future respiratory illness epidemics including COVID-19. CONCLUSIONS: In-person school attendance improved for CMC over time. Opportunities exist to continue optimizing in-person attendance and family-perceived safety for CMC at school.

Digital professionalism in preregistration nursing and midwifery students: A scoping review to explore perceptions of professionalism when using social media.

AIM: This review aimed to scope the literature by examining preregistration nursing and midwifery students' perceptions regarding professional use of social media. BACKGROUND: Digital professionalism refers to the competence required when interacting online, such as social network platforms by maintaining the values and attitudes which align with professional codes of conduct. With increasing social media platforms being used by nursing and midwifery students, there are concerns about professional behaviour and the implications for those who may not be clear on its use in the professional context of their profession. DESIGN: Methodology included utilising best-practice guidelines for undertaking scoping reviews. The PCC framework (population, concept and context) was applied to this review; Population - preregistration nursing and/or midwifery students; Concept/s- professionalism when using social media platforms; and Context - preregistration (undergraduate) or entry level students studying either midwifery or nursing. The databases included in the review were MEDLINE, CINAHL, Embase (OVID) and Scopus due to their relevancy to health professional education, identifying 1087 articles up to May 2024, which were screened independently by two reviewers. Seventeen articles (17) met the inclusion criteria. Content analysis assisted with mapping of themes and subthemes. RESULTS: The year of publication of the 17 primary studies ranged from 2012 to 2023. Twelve studies were cross-sectional, one was a randomised controlled trial, one was a retrospective analysis and three were qualitative designs. A wide number of countries were represented. Social media platforms included Facebook, Instagram, Twitter, WhatsApp, Snapchat, YouTube, WeChat, Ozone, QQ, Sina Weibo, TikTok and LinkedIn. Two major themes represented nursing and/or midwifery student views and experiences with their professional engagement when using social media, with a focus on digital professionalism: Professional Boundaries and Responsibility and Accountability. CONCLUSIONS: There is a need to ensure nursing and midwifery students are aware of social media policies and procedures which must have a strong presence within preregistration curricula. Further research is required to co-design and facilitate clear guidelines and further education on digital professionalism.

Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study.

BACKGROUND: Diagnostic errors are an underappreciated cause of preventable mortality in hospitals and pose a risk for severe patient harm and increase hospital length of stay. OBJECTIVE: This study aims to explore the potential of machine learning and natural language processing techniques in improving diagnostic safety surveillance. We conducted a rigorous evaluation of the feasibility and potential to use electronic health records clinical notes and existing case review data. METHODS: Safety Learning System case review data from 1 large health system composed of 10 hospitals in the mid-Atlantic region of the United States from February 2016 to September 2021 were analyzed. The case review outcome included opportunities for improvement including diagnostic opportunities for improvement. To supplement case review data, electronic health record clinical notes were extracted and analyzed. A simple logistic regression model along with 3 forms of logistic regression models (ie, Least Absolute Shrinkage and Selection Operator, Ridge, and Elastic Net) with regularization functions was trained on this data to compare classification performances in classifying patients who experienced diagnostic errors during hospitalization. Further, statistical tests were conducted to find significant differences between female and male patients who experienced diagnostic errors. RESULTS: In total, 126 (7.4%) patients (of 1704) had been identified by case reviewers as having experienced at least 1 diagnostic error. Patients who had experienced diagnostic error were grouped by sex: 59 (7.1%) of the 830 women and 67 (7.7%) of the 874 men. Among the patients who experienced a diagnostic error, female patients were older (median 72, IQR 66-80 vs median 67, IQR 57-76; P=.02), had higher rates of being admitted through general or internal medicine (69.5% vs 47.8%; P=.01), lower rates of cardiovascular-related admitted diagnosis (11.9% vs 28.4%; P=.02), and lower rates of being admitted through neurology department (2.3% vs 13.4%; P=.04). The Ridge model achieved the highest area under the receiver operating characteristic curve (0.885), specificity (0.797), positive predictive value (PPV; 0.24), and F1-score (0.369) in classifying patients who were at higher risk of diagnostic errors among hospitalized patients. CONCLUSIONS: Our findings demonstrate that natural language processing can be a potential solution to more effectively identifying and selecting potential diagnostic error cases for review and therefore reducing the case review burden.

Factors Influencing Feeding Decisions in Children With Bronchiolitis on High-Flow Nasal Cannula.

BACKGROUND AND OBJECTIVES: High-flow nasal cannula (HFNC) is used in up to 50% of children admitted with bronchiolitis. Consensus recommendations for feeding these children have not been established, and there is variability in practice. We sought to identify factors influencing feeding decisions for general care patients admitted with bronchiolitis on HFNC from a national sample of interdisciplinary care team members. METHODS: In this qualitative study, we conducted semi-structured virtual interviews with care team members involved in making feeding decisions at 10 US hospitals from June 2022 to March 2023. Eligible participants included 1 nurse, respiratory therapist, speech language pathologist, and physician from each site. Interviews were audio-recorded, transcribed, and conducted until reaching sufficiency. Three researchers analyzed transcript data using content analysis guided by the Systems Engineering Initiative for Patient Safety 2.0 model. RESULTS: We interviewed 29 participants, including 19 nurses, respiratory therapists, and speech language pathologists and 10 physicians. Participants identified 11 factors influencing feeding decisions related to hospital work systems and processes outlined in the Systems Engineering Initiative for Patient Safety model, including people (child and parent characteristics, care team experience), tools and technology (guideline, protocol, ordersets), organization (institutional culture, education), environment (time of day, care location), task (interventions to optimize feeding), and process (clinical assessment, feeding trial, communication). CONCLUSIONS: Our findings suggest that feeding decisions are driven by factors related to the child, care team experience, institutional tools, and culture. These key factors may inform local improvement efforts to decrease variation in feeding children with bronchiolitis requiring HFNC.

Impact of tobacco education on pharmacy students' perceptions of electronic nicotine delivery systems.

OBJECTIVE: Describe how receiving tobacco education within the PharmD curriculum affects 1) students' perceptions and knowledge of electronic nicotine delivery systems (ENDS) and 2) willingness to counsel on cessation. METHODS: Eight institutions used a 29-item questionnaire to assess P1-P4 students' tobacco use, ENDS knowledge, cessation education, and perceptions in the fall of 2020. Students were divided into those who had received tobacco cessation education and those who had not. RESULTS: 832 pharmacy students participated in the study with a 28% response rate. 56% of respondents were reported as receiving at least some tobacco education in the pharmacy curriculum. Quitting other forms of tobacco was the only perceived benefit of ENDS that was statistically different between groups. Tobacco education was associated with a greater likelihood of identifying localized harms of ENDS, including explosion/burns and mouth/throat irritation. Those with tobacco education were more likely to agree they received enough education to counsel on smoking cessation and were more likely to agree they are willing to counsel patients on quitting. Tobacco education was associated with an increased willingness to offer smoking cessation (OR 1.56; 95% CI 1.14-2.13) but not more willing to offer ENDS cessation (0.85; 0.58-1.24). Personal history of combustible cigarette use was associated with increased willingness to counsel on both smoking (2.45; 1.27-4.73) and ENDS (2.79; 1.38-5.64) cessation. CONCLUSION: Tobacco education in the pharmacy curriculum was associated with an increased likelihood of recognizing localized harms of ENDS and willingness to offer smoking cessation counseling but did not increase willingness to offer ENDS cessation counseling.

Forecasting daily total pollen concentrations on a global scale.

BACKGROUND: There is evidence that global anthropogenic climate change may be impacting floral phenology and the temporal and spatial characteristics of aero-allergenic pollen. Given the extent of current and future climate uncertainty, there is a need to strengthen predictive pollen forecasts. METHODS: The study aims to use CatBoost (CB) and deep learning (DL) models for predicting the daily total pollen concentration up to 14 days in advance for 23 cities, covering all five continents. The model includes the projected environmental parameters, recent concentrations (1, 2 and 4 weeks), and the past environmental explanatory variables, and their future values. RESULTS: The best pollen forecasts include Mexico City (R2(DL_7) ≈ .7), and Santiago (R2(DL_7) ≈ .8) for the 7th forecast day, respectively; while the weakest pollen forecasts are made for Brisbane (R2(DL_7) ≈ .4) and Seoul (R2(DL_7) ≈ .1) for the 7th forecast day. The global order of the five most important environmental variables in determining the daily total pollen concentrations is, in decreasing order: the past daily total pollen concentration, future 2 m temperature, past 2 m temperature, past soil temperature in 28-100 cm depth, and past soil temperature in 0-7 cm depth. City-related clusters of the most similar distribution of feature importance values of the environmental variables only slightly change on consecutive forecast days for Caxias do Sul, Cape Town, Brisbane, and Mexico City, while they often change for Sydney, Santiago, and Busan. CONCLUSIONS: This new knowledge of the ecological relationships of the most remarkable variables importance for pollen forecast models according to clusters, cities and forecast days is important for developing and improving the accuracy of airborne pollen forecasts.

Influence of Preterm Birth and Environmental Context on Academic Performance and Neurodevelopmental Outcomes.

BACKGROUND: Preterm birth affects 10% of all births annually in the United States. Outcomes of people born preterm are challenging to predict because of multiple influences, including gestational age, birth weight, and social and environmental contexts, that contribute to an individual's growth and developmental trajectory. The influence of toxic stress is underrepresented in the literature assessing preterm birth outcomes. OBJECTIVES: The current analyses use the eco-bio-developmental model of poverty and preterm birth as a framework to model the pathways among toxic stress, preterm birth, and neurodevelopmental outcomes. Poverty and toxic stress were hypothesized to increase the risk for impaired neurodevelopmental and academic outcomes-both directly and indirectly. METHODS: The analytic sample of 55,873 children aged 6-17 years was derived from the National Survey of Children's Health 2020-2021. Structural equation models with combined measurement and path models for each dependent variable were constructed using latent toxic stress variables. The structural path equations included direct paths from the latent measure of prenatal toxic stress, preterm birth status, and the latent measure of childhood toxic stress to the neurodevelopmental outcome, as well as an indirect, mediated path from prenatal toxic stress through preterm birth status to the outcome. RESULTS: Across models, higher levels of prenatal toxic stress were significantly associated with preterm birth and lower birth weight ranges. Preterm low birth weight status was associated with a greater likelihood of neurodevelopmental impairment, repeating a grade, and special education plans. The predicted probabilities of neurodevelopmental impairment, repeating grades, and special education plans are significantly higher with above-average levels of exposure to prenatal and childhood toxic stress. DISCUSSION: There is a need for prospective studies that assess predictors and outcomes of preterm birth that are stratified by gestational age and consider the timing, chronicity, and influence of toxic stress and environmental exposures. There is an imperative for public health programs and policies designed to support families, caregivers, and children to address the individual and structural social determinants of health that contribute to toxic stress, thereby increasing preterm birth rates and negatively affecting the outcomes of children born preterm.

Disparities in COVID-19 vaccine intentions, testing and trusted sources by household language for children with medical complexity.

OBJECTIVES: Children with medical complexity experienced health disparities during the coronavirus disease 2019 (COVID-19) pandemic. Language may compound these disparities since people speaking languages other than English (LOE) also experienced worse COVID-19 outcomes. Our objective was to investigate associations between household language for children with medical complexity and caregiver COVID-19 vaccine intentions, testing knowledge, and trusted sources of information. METHODS: This cross-sectional survey of caregivers of children with medical complexity ages 5 to 17 years was conducted from April-June 2022. Children with medical complexity had at least 1 Complex Chronic Condition. Households were considered LOE if they reported speaking any language other than English. Multivariable logistic regression examined associations between LOE and COVID-19 vaccine intentions, interpretation of COVID-19 test results, and trusted sources of information. RESULTS: We included 1,338 caregivers of children with medical complexity (49% response rate), of which 133 (10%) had household LOE (31 total languages, 58% being Spanish). There was no association between household LOE and caregiver COVID-19 vaccine intentions. Caregivers in households with LOE had similar interpretations of positive COVID-19 test results, but significantly different interpretations of negative results. Odds of interpreting a negative test as expected (meaning the child does not have COVID-19 now or can still get the virus from others) were lower in LOE households (aOR [95% CI]: 0.56 [0.34-0.95]). Households with LOE were more likely to report trusting the US government to provide COVID-19 information (aOR [95% CI]: 1.86 [1.24-2.81]). CONCLUSION: Differences in COVID-19 test interpretations based on household language for children with medical complexity were observed and could contribute to disparities in outcomes. Opportunities for more inclusive public health messaging likely exist.

Disseminating Methods in Nursing Research.

Research methods papers are a valuable resource to researchers and clinicians that highlight novel yet effective methodologies and approaches to conducting research. Clinicians can use the knowledge generated from unique research methods to conduct quality, evidence-based practice, and quality improvement projects, and nurse researchers can benefit from the lessons learned by others to improve the rigor of future studies. This paper defines research methods papers, provides an overview of their importance, including examples from the literature, and highlights important considerations when writing and disseminating the findings of research methods.

The concept of capability in pre-registration nursing education: A scoping review.

BACKGROUND: Capability in nursing education is an emerging concept that includes various requisites, which can be applied in complex or unfamiliar clinical settings. Despite growing research for practising nurses, the requisites of capability for pre-registration nursing students entering the workforce remain unclear. OBJECTIVE: The objective was to identify the requisites that constitute capability for practice among pre-registration nursing students as well as the enablers to develop capabilities. DESIGN: A scoping review was performed using the Joanna Briggs Institute methodology. DATA SOURCES: Records published without date restriction were searched using MEDLINE, Embase, Emcare, CINAHL, and Scopus databases. Grey literature and reference list searching was conducted. REVIEW METHODS: Sources explicitly reporting requisites of capability or enablers of capability development in pre-registration nursing education were eligible. All global sources written in English and available in full text were included. Data were extracted and synthesised using a specifically designed extraction tool. RESULTS: The number of records reviewed totalled 896. Twenty-three studies met the criteria for inclusion in the synthesis. Nineteen capability requisites for practice were reported. Whilst various enablers to support development of capability requisites were reported, some challenges were also identified. CONCLUSION: This study identified requisites of capability for practice and enablers that may support development of capability in pre-registration nursing education. This holistic set of capabilities has previously not been reported. Given the emerging nature of the concept, this collective set of requisites may not be indicative of all required capabilities of nursing students upon graduation. Efforts to develop a definitive set of requisites and explore strategies to support and enable capability development are needed to advance this concept in the pre-registration nursing education context.

Secondary Data Analysis: Using existing data to answer new questions.

INTRODUCTION: Secondary data analysis is a cost-effective, accessible, and efficient means of utilizing existing data to answer new research questions. METHOD: The manuscript provides an overview of the secondary data analysis process, as well as benefits and limitations inherent in the research method. RESULTS: An exemplar of pediatric focused research using a publicly available dataset is presented to facilitate understanding of the process. DISCUSSION: Novice and experienced researchers benefit from exploring the quantitative and qualitative secondary data analysis options available.

Mechanisms through which befriending services may impact the health of older adults: A dyadic qualitative investigation.

Befriending services are often delivered to older adults with a view to improving social connectedness, but they may also lead to improved health. The objective of the current study was to explore potential mechanisms through which befriending services might impact the health of older adults. Data were collected from 13 befriendee-befriender dyads (n = 26), using a constructivist grounded theory and dyadic analytic approach. Potential mechanisms were described, using a realist evaluative framework of mechanistic processes in a complex intervention context. Five mechanisms of action triggered by the intervention were identified: supporting health behaviours; providing emotional support; improving mood; getting cognitive stimulation and novelty; and providing opportunities for socialising. We identified five potential mechanisms through which befriending services might impact health for older people. Our results suggest potential mechanisms through which befriending might positively impact the health of older people, and which should be evaluated empirically in future research.

Family experiences reported by healthcare worker parents during the COVID-19 pandemic.

PURPOSE: Parents, who were working as essential frontline healthcare workers experienced unique stressors during the COVID-19 pandemic including disruption of regular routines, long lapses away from family, extreme work stress and subsequent difficulty in compartmentalizing work-related concerns when at home. The purpose of this study was to assess COVID-19 exposure and impact of frontline healthcare workers who are parents. DESIGN & METHODS: This study quantitatively assessed the COVID-19 exposure and impact and qualitatively explored perceptions of parents of children 9 to 17 years of age, who were also frontline healthcare workers. RESULTS: Participants (N = 79) using the COVID-19 Exposure and Family Impact Survey (CEFIS) reported exposure mean scores of 10.03 (SD = 2.63); and impact scores mean scores of 3.18 (SD = 0.46). Thematic analysis identified four themes, each with 2 subthemes: 1) family stressors increased (e.g., concerns about health and safety, losses of lifestyle patterns); 2) changes in children's health and well-being (e.g., isolation from family and friends, mental health problems); 3) virtual school difficulties (e.g., parent and student challenges, home school option); 4) skill building opportunities (e.g., enhanced emotional connections, increased family activities). CONCLUSION: The CHAMPS Family Health Study suggests that families of essential workers are especially vulnerable to the effect of COVID-19, as are those families of essential workers who include child/ren with special health care needs. PRACTICE IMPLICATIONS: Preparation for future emergencies requires strategies to mitigate consequences and promote well-being. These results highlight the need for supportive approaches to decrease the negative consequences of stress and to augment skills for family connection and cooperation.

Designing for caregiving networks: a case study of primary caregivers of children with medical complexity.

OBJECTIVE: The study aimed to characterize the experiences of primary caregivers of children with medical complexity (CMC) in engaging with other members of the child's caregiving network, thereby informing the design of health information technology (IT) for the caregiving network. Caregiving networks include friends, family, community members, and other trusted individuals who provide resources, information, health, or childcare. MATERIALS AND METHODS: We performed a secondary analysis of two qualitative studies. Primary studies conducted semi-structured interviews (n = 50) with family caregivers of CMC. Interviews were held in the Midwest (n = 30) and the mid-Atlantic region (n = 20). Interviews were transcribed verbatim for thematic analysis. Emergent themes were mapped to implications for the design of future health IT. RESULTS: Thematic analysis identified 8 themes characterizing a wide range of primary caregivers' experiences in constructing, managing, and ensuring high-quality care delivery across the caregiving network. DISCUSSION: Findings evidence a critical need to create flexible and customizable tools designed to support hiring/training processes, coordinating daily care across the caregiving network, communicating changing needs and care updates across the caregiving network, and creating contingency plans for instances where caregivers are unavailable to provide care to the CMC. Informaticists should additionally design accessible platforms that allow primary caregivers to connect with and learn from other caregivers while minimizing exposure to sensitive or emotional content as indicated by the user. CONCLUSION: This article contributes to the design of health IT for CMC caregiving networks by uncovering previously underrecognized needs and experiences of CMC primary caregivers and drawing direct connections to design implications.

Perception of Physicians' Notes Among Parents of Different Health Literacy Levels.

OBJECTIVES: To explore the benefits and challenges of accessing physicians' notes during pediatric hospitalization across parents of different health literacy levels. METHODS: For this secondary analysis, we used semi-structured interviews conducted with 28 parents on their impressions of having access to their child's care team notes on a bedside table. Three researchers used thematic analysis to develop a codebook, coded interview data, and identified themes. Parent interviews and respective themes were then dichotomized into proficient or limited health literacy groups and compared. RESULTS: Nine themes were identified in this secondary analysis: 6 benefits and 3 challenges. All parents identified more benefits than challenges, including that the notes served as a recap of information and memory aid and increased autonomy, empowerment, and advocacy for their child. Both groups disliked receiving bad news in notes before face-to-face communication. Parents with proficient literacy reported that notes allowed them to check information accuracy, but that notes may not be as beneficial for parents with lower health literacy. Parents with limited literacy uniquely identified limited comprehension of medical terms but indicated that notes facilitated their understanding of their child's condition, increased their appreciation for their health care team, and decreased their anxiety, stress, and worry. CONCLUSIONS: Parents with limited health literacy uniquely reported that notes improved their understanding of their child's care and decreased (rather than increased) worry. Reducing medical terminology may be one equitable way to increase note accessibility for parents across the health literacy spectrum.

The effect of mindfulness-based intervention on cognitively unimpaired older adults' cognitive function and sleep quality: a systematic review and meta-analysis.

Objective: This systematic review and meta-analysis aimed to investigate the effect of mindfulness-based intervention (MBI) on cognitively unimpaired older adults' cognitive function and sleep quality.Method: Studies published in English since 2010 were considered for inclusion. Databases searched were PubMed, Embase, Web of Science, and PsycInfo. We included randomized controlled trials (RCTs) with adults over 55 with no known cognitive impairment, that recorded cognitive outcomes and/or sleep quality pre- and post-intervention, and that implemented Mindfulness-Based Stress Reduction (MBSR), or an MBI closely based on MBSR protocol.Results: Seven RCTs fit the inclusion criteria, with 276 participants in MBI groups and 287 in controls. Four studies investigated mindfulness and cognitive function, two investigated mindfulness and sleep quality, and one investigated mindfulness, cognitive function, and sleep quality. Some studies were not reported in sufficient detail to be included in meta-analyses. Results of meta-analyses showed no significant differences between MBI groups vs controls on cognitive measures of executive function, free recall, and delayed recall. Meta-analysis revealed that MBI significantly improved sleep quality compared to controls.Conclusion: Given that poor sleep quality is strongly linked to increased risk of cognitive decline, further research investigating sleep quality's role in the mindfulness-cognitive function relationship in cognitively unimpaired older adults is recommended.

Detection, Characterization, and Distribution of the First Case of Pepino Mosaic Virus in Aotearoa New Zealand.

Tomato (Solanum lycopersicum L., family Solanaceae) represents one of the most economically valuable horticultural crops worldwide. Tomato production is affected by numerous emerging plant viruses. We identified, for the first time in New Zealand (NZ), Pepino mosaic virus (PepMV) in greenhouse grown tomato crops using a combination of methods from electron microscopy and herbaceous indexing to RT-qPCR and high-throughput sequencing. Phylogenetic and genomic analysis of a near-complete PepMV genome determined that the detected strain belonged to the mild form of the CH2 lineage of the virus. Subsequently, a delimiting survey of PepMV was conducted, and PepMV was detected at four additional locations. PCR-derived sequences obtained from samples collected from different greenhouses and from herbaceous indicator plants were identical to the original sequence. Since PepMV has never been reported in NZ before, seed pathways are speculated to be the most likely source of entry into the country.

Adolescent Access to Clinicians' Notes: Adolescent, Parent, and Clinician Perspectives.

PURPOSE: In 2021, federal guidelines mandated that health-care organizations share clinicians' notes with patients to increase information transparency. While findings indicate advantages for adult patients, less is known about note-sharing from the viewpoint of adolescents. This study aims to identify adolescent, parent, and clinician perspectives on the anticipated benefits and concerns of giving adolescents access to clinicians' notes and strategies to support note-sharing in this population. METHODS: We conducted six focus groups with adolescents, parents, and clinicians at a children's hospital from May to October 2021. A semistructured facilitator guide captured participant perspectives of note-sharing benefits, concerns, and strategies. Two researchers independently coded and analyzed transcript data using thematic analysis; a third researcher reconciled discrepancies. RESULTS: 38 stakeholders (17 adolescents, 10 parents, and 11 clinicians) described four benefits, three concerns, and four implementation strategies regarding adolescent note-sharing. Potential benefits included adolescents using notes to remember and reinforce the visit, gaining knowledge about their health, strengthening the adolescent-clinician relationship, and increasing agency in health care decisions. Concerns included notes leading to a breach in confidentiality, causing negative emotions, and becoming less useful for clinicians. Strategies included making note-sharing more secure, optimizing note layout and content, setting clear expectations, and having a portion of the note for clinician use only. DISCUSSION: Stakeholders suggest multiple strategies to optimize the implementation of note-sharing to support adolescent patients, parents, and clinicians as hospitals work to comply with federal regulations. These strategies may reinforce the potential benefits and mitigate the challenges of sharing notes with adolescent patients.