Acceptability of data linkage to identify women at risk of postnatal complication for the development of digital risk prediction tools and interventions to better optimise postnatal care, a qualitative descriptive study design.

BACKGROUND: Pregnancy acts as a cardiovascular stress test. Although many complications resolve following birth, women with hypertensive disorder of pregnancy have an increased risk of developing cardiovascular disease (CVD) long-term. Monitoring postnatal health can reduce this risk but requires better methods to identity high-risk women for timely interventions. METHODS: Employing a qualitative descriptive study design, focus groups and/or interviews were conducted, separately engaging public contributors and clinical professionals. Diverse participants were recruited through social media convenience sampling. Semi-structured, facilitator-led discussions explored perspectives of current postnatal assessment and attitudes towards linking patient electronic healthcare data to develop digital tools for identifying postpartum women at risk of CVD. Participant perspectives were gathered using post-it notes or a facilitator scribe and analysed thematically. RESULTS: From 27 public and seven clinical contributors, five themes regarding postnatal check expectations versus reality were developed, including 'limited resources', 'low maternal health priority', 'lack of knowledge', 'ineffective systems' and 'new mum syndrome'. Despite some concerns, all supported data linkage to identify women postnatally, targeting intervention to those at greater risk of CVD. Participants outlined potential benefits of digitalisation and risk prediction, highlighting design and communication needs for diverse communities. CONCLUSIONS: Current health system constraints in England contribute to suboptimal postnatal care. Integrating data linkage and improving education on data and digital tools for maternal healthcare shows promise for enhanced monitoring and improved future health. Recognised for streamlining processes and risk prediction, digital tools may enable more person-centred care plans, addressing the gaps in current postnatal care practice.

User engagement in clinical trials of digital mental health interventions: a systematic review.

INTRODUCTION: Digital mental health interventions (DMHIs) overcome traditional barriers enabling wider access to mental health support and allowing individuals to manage their treatment. How individuals engage with DMHIs impacts the intervention effect. This review determined whether the impact of user engagement was assessed in the intervention effect in Randomised Controlled Trials (RCTs) evaluating DMHIs targeting common mental disorders (CMDs). METHODS: This systematic review was registered on Prospero (CRD42021249503). RCTs published between 01/01/2016 and 17/09/2021 were included if evaluated DMHIs were delivered by app or website; targeted patients with a CMD without non-CMD comorbidities (e.g., diabetes); and were self-guided. Databases searched: Medline; PsycInfo; Embase; and CENTRAL. All data was double extracted. A meta-analysis compared intervention effect estimates when accounting for engagement and when engagement was ignored. RESULTS: We identified 184 articles randomising 43,529 participants. Interventions were delivered predominantly via websites (145, 78.8%) and 140 (76.1%) articles reported engagement data. All primary analyses adopted treatment policy strategies, ignoring engagement levels. Only 19 (10.3%) articles provided additional intervention effect estimates accounting for user engagement: 2 (10.5%) conducted a complier-average-causal effect (CACE) analysis (principal stratum strategy) and 17 (89.5%) used a less-preferred per-protocol (PP) population excluding individuals failing to meet engagement criteria (estimand strategies unclear). Meta-analysis for PP estimates, when accounting for user engagement, changed the standardised effect to -0.18 95% CI (-0.32, -0.04) from - 0.14 95% CI (-0.24, -0.03) and sample sizes reduced by 33% decreasing precision, whereas meta-analysis for CACE estimates were - 0.19 95% CI (-0.42, 0.03) from - 0.16 95% CI (-0.38, 0.06) with no sample size decrease and less impact on precision. DISCUSSION: Many articles report user engagement metrics but few assessed the impact on the intervention effect missing opportunities to answer important patient centred questions for how well DMHIs work for engaged users. Defining engagement in this area is complex, more research is needed to obtain ways to categorise this into groups. However, the majority that considered engagement in analysis used approaches most likely to induce bias.

An Investigation Into the Measurement of Injury Severity in Running-Related Injury Research: A Scoping Review.

Understanding injury severity is essential to inform injury prevention practice. The aims of this scoping review were to investigate how running-related injury (RRI) severity is measured, compare how it differs across studies, and examine whether it influences study outcomes (i.e., injury rates and risk factor identification). This scoping review was prospectively registered with Open Science Framework. A systematic electronic search was conducted using PubMed, Scopus, SPORTDiscuss, MEDLINE, and Web of Science databases. Included studies were published in English between January 1980 and December 2023, investigated RRIs in adult running populations, and included a measure of injury severity. Results were extracted and collated. Sixty-six studies were included. Two predominant primary criteria are used to define injury severity: the extent of the effect on running and/or the extent of the physical description. When secondary definition criteria are considered, 13 variations of injury severity measurement are used. Two approaches are used to grade injury severity: a categorization approach or a continuous numerical scale. Overall, the measurement of RRI severity is relatively inconsistent across studies. Less than half of studies report incidence rates per level of injury severity, while none report specific risk factors across levels, making it difficult to determine if the approach to measuring injury severity influences these study outcomes. This lack of information is possibly contributing to inconsistent rates of RRIs reported, and the lack of clarity on risk factors.

Pathological measurement and staging of residual breast cancer after neoadjuvant chemotherapy.

AIMS: The 8th Edition of the American Joint Committee on Cancer Staging System (yAJCC) excludes treatment-related fibrosis from the measurement of residual tumour after neoadjuvant chemotherapy (NAC) for breast cancer. The impact of the 8th Ed. yAJCC on post-NAC pathologic staging was examined in 188 breast cancer specimens from 183 patients with measurable residual tumour. METHODS: Tumour size, ypT, and ypN categories were reassessed with the current yACC criteria and compared to the original pathology reports. Histological patterns of response in the breast were categorised as concentric or scattered. RESULTS: The reassessed breast tumour size or ypT category differed from the original report in 101 (53.7%) cases. Changes in the ypT and/or ypN category resulted in downstaging of 45/185 (24.3%). A smaller reassessed tumour size or lower ypT category occurred more often in hormone receptor-positive/HER2-negative (HR+/HER2-) (68.3%) and HER2-positive (HER2+) tumours (74.0%) than triple-negative breast cancer (TNBC) (37.5%) (P < 0.001). A scattered pattern of response was more frequent in HR+/HER2- (54.9%) and HER2+ (66.0%) tumours than TNBC (35.7%) (P = 0.006). Changes in size, ypT, or multifocality based on the 8th Ed. yAJCC criteria were more frequent in tumours with a scattered pattern of response (P < 0.001). CONCLUSION: Strict adherence to yAJCC criteria for measurement of the residual breast tumour after NAC resulted in smaller tumour size, lower ypT category, lower yAJCC stage, and more frequent classification of residual tumour as multifocal. Downstaging based on 8th Ed. yAJCC criteria was associated with tumour subtype and histological pattern of response.

Urban and Rural Mpox Incidence Among Persons Aged 15-64 Years - United States, May 10-December 31, 2022.

During May 10-December 31, 2022, a total of 29,980 confirmed and probable† U.S. monkeypox (mpox) cases were reported to CDC, predominantly in cisgender adult men reporting recent same-gender sexual partners (1). Urban-rural differences in health (2) and diagnosis of HIV (3,4) and other sexually transmitted infections (5) are well documented nationally. This report describes urban-rural differences in mpox incidence (cases per 100,000 population) among persons aged 15-64 years, by gender and race and ethnicity. Urbanicity was assessed using the 2013 National Center for Health Statistics (NCHS) Urban-Rural Classification Scheme for Counties (2). Substantial differences in incidence by urbanicity, gender, and race and ethnicity were observed; most (71.0%) cases occurred in persons residing in large central urban areas. Among the cases in large central urban areas, most (95.7%) were in cisgender men. The overall incidence of mpox in the United States was 13.5 per 100,000 persons aged 15-64 years and peaked in August in both urban and rural areas. Among cisgender men, incidence in rural areas was approximately 4% that in large central urban areas (risk ratio [RR] = 0.04). Among cisgender women, incidence in rural areas was approximately 11% that in large central urban areas (RR = 0.11). In both urban and rural areas, incidence among non-Hispanic Black or African American (Black) and Hispanic or Latino (Hispanic) persons was consistently higher than that among non-Hispanic White (White) persons; RRs between Black and White persons were highest in rural areas. Support and maintenance of mpox surveillance and prevention efforts including vaccinations should focus on urban areas with the highest incidence of mpox during the 2022 outbreak; however, surveillance and prevention efforts should include all genders, persons of color, and persons residing in both urban and rural areas who are at increased risk for mpox.

Epidemiologic and Clinical Features of Mpox-Associated Deaths - United States, May 10, 2022-March 7, 2023.

As of March 7, 2023, a total of 30,235 confirmed and probable monkeypox (mpox) cases were reported in the United States,† predominantly among cisgender men§ who reported recent sexual contact with another man (1). Although most mpox cases during the current outbreak have been self-limited, cases of severe illness and death have been reported (2-4). During May 10, 2022-March 7, 2023, 38 deaths among persons with probable or confirmed mpox¶ (1.3 per 1,000 mpox cases) were reported to CDC and classified as mpox-associated (i.e., mpox was listed as a contributing or causal factor). Among the 38 mpox-associated deaths, 94.7% occurred in cisgender men (median age = 34 years); 86.8% occurred in non-Hispanic Black or African American (Black) persons. The median interval from symptom onset to death was 68 days (IQR = 50-86 days). Among 33 decedents with available information, 93.9% were immunocompromised because of HIV. Public health actions to prevent mpox deaths include integrated testing, diagnosis, and early treatment for mpox and HIV, and ensuring equitable access to both mpox and HIV prevention and treatment, such as antiretroviral therapy (ART) (5).

Factors associated with concussion management behavior in Ladies Gaelic Football players.

BACKGROUND: Sport-related concussion (SRC) management may be poor in community sports such as Ladies Gaelic Football (LGF). This study examined factors associated with SRC management behavior in adult LGF players. METHODS: Participants (n = 657) answered an online survey on demographic factors, concussion knowledge, attitudes, and education, and SRC management behavior. Data from participants who reported sustaining an LGF-related SRC during the previous year (n = 115) were further analyzed. RESULTS: Being diagnosed with SRC was the main factor influencing subacute management behavior. Players with diagnosed SRCs had increased odds of following a graded return-to-play (RTP) programme (OR = 4.89), following a medically supervised graded RTP programme (OR = 10.16), and being medically cleared before full RTP (OR = 13.45) compared with those with suspected SRCs. Concussion history was associated with increased odds of informing a coach of a possible SRC (OR = 2.86). Demographic factors, previous use of Ladies Gaelic Football Association concussion education resources, and concussion knowledge and attitudes had minimal or no influence on management behaviors. CONCLUSION: Greater access to medical personnel at LGF training and matches is recommended. Due to limited medical resources in community sport, a clear referral pathway for players with SRC and comprehensive SRC education should be introduced to ensure players receive adequate medical care.

Concussion in Ladies Gaelic Football: Self-reported History, Clinical Profiles, and Management Behavior.

OBJECTIVE: To describe the prevalence, characteristics, and management behavior of self-reported sport-related concussion (SRC) in Ladies Gaelic Football (LGF) players. DESIGN: Cross-sectional study. SETTING: Online survey distributed to LGF clubs throughout Ireland. PARTICIPANTS: Elite and nonelite adult LGF players (n = 657). INTERVENTIONS: Participants were recruited by convenience sampling and answered an online survey. Questions on demographic characteristics, SRC history, symptoms, injury characteristics, and management behavior after SRCs that occurred while playing LGF during the previous season were included. MAIN OUTCOME MEASURES: Overall concussion history, occurrence of an SRC during the previous LGF season, clinical profile scores, characteristics (eg mechanism and setting), and management behavior (eg following a graded RTP program) after SRCs that occurred during the previous season. RESULTS: Approximately one-fifth (17.5%) of participants sustained a suspected or diagnosed SRC during the previous season, which was higher among elite (26.1%) than nonelite (15.3%) players ( P < 0.01). The highest scoring clinical profiles were the ocular and migraine profiles. Only 3.5% of respondents adhered to all SRC management recommendations. Although players who reported a medically diagnosed versus a suspected SRC more often followed these guidelines, SRC management beyond the initial phase of injury remained inadequate. CONCLUSION: SRC is common in LGF; however, adherence to recommended management guidelines is poor, even among players who receive medical assistance. In particular, few LGF athletes receive clinical concussion care beyond the initial diagnosis and acute management phase. Further research is needed to examine the underlying reasons for poor SRC management in LGF, which will guide the development of future sport-specific interventions.

Artificial intelligence in nursing and midwifery: A systematic review.

BACKGROUND: Artificial Intelligence (AI) techniques are being applied in nursing and midwifery to improve decision-making, patient care and service delivery. However, an understanding of the real-world applications of AI across all domains of both professions is limited. OBJECTIVES: To synthesise literature on AI in nursing and midwifery. METHODS: CINAHL, Embase, PubMed and Scopus were searched using relevant terms. Titles, abstracts and full texts were screened against eligibility criteria. Data were extracted, analysed, and findings were presented in a descriptive summary. The PRISMA checklist guided the review conduct and reporting. RESULTS: One hundred and forty articles were included. Nurses' and midwives' involvement in AI varied, with some taking an active role in testing, using or evaluating AI-based technologies; however, many studies did not include either profession. AI was mainly applied in clinical practice to direct patient care (n = 115, 82.14%), with fewer studies focusing on administration and management (n = 21, 15.00%), or education (n = 4, 2.85%). Benefits reported were primarily potential as most studies trained and tested AI algorithms. Only a handful (n = 8, 7.14%) reported actual benefits when AI techniques were applied in real-world settings. Risks and limitations included poor quality datasets that could introduce bias, the need for clinical interpretation of AI-based results, privacy and trust issues, and inadequate AI expertise among the professions. CONCLUSION: Digital health datasets should be put in place to support the testing, use, and evaluation of AI in nursing and midwifery. Curricula need to be developed to educate the professions about AI, so they can lead and participate in these digital initiatives in healthcare. RELEVANCE FOR CLINICAL PRACTICE: Adult, paediatric, mental health and learning disability nurses, along with midwives should have a more active role in rigorous, interdisciplinary research evaluating AI-based technologies in professional practice to determine their clinical efficacy as well as their ethical, legal and social implications in healthcare.

The Application of Artificial Intelligence in Digital Physical Activity and Falls Prevention Interventions for Older Adults.

This article discusses the practical applications of artificial intelligence in digital physical activity and falls prevention interventions for older adults. It notes the range of technologies that can be used to collect digital datasets on older adult health and how machine learning algorithms can be applied to these to improve our understanding of physical activity and falls. In particular, these advanced computational techniques could help personalize exercises, feedback, and notifications to older people, improve adherence to and reduce attrition from digital health interventions, and enhance monitoring by providing predictive analytics on the physiological and environmental conditions that contribute to physical activity and falls in aging populations.

Clinical Use of Tecovirimat (Tpoxx) for Treatment of Monkeypox Under an Investigational New Drug Protocol - United States, May-August 2022.

Currently, no Food and Drug Administration (FDA)-approved treatments for human monkeypox are available. Tecovirimat (Tpoxx), however, is an antiviral drug that has demonstrated efficacy in animal studies and is FDA-approved for treating smallpox. Use of tecovirimat for treatment of monkeypox in the United States is permitted only through an FDA-regulated Expanded Access Investigational New Drug (EA-IND) mechanism. CDC holds a nonresearch EA-IND protocol that facilitates access to and use of tecovirimat for treatment of monkeypox.§ The protocol includes patient treatment and adverse event reporting forms to monitor safety and ensure intended clinical use in accordance with FDA EA-IND requirements. The current multinational monkeypox outbreak, first detected in a country where Monkeypox virus infection is not endemic in May 2022, has predominantly affected gay, bisexual, and other men who have sex with men (MSM) (1,2). To describe characteristics of persons treated with tecovirimat for Monkeypox virus infection, demographic and clinical data abstracted from available tecovirimat EA-IND treatment forms were analyzed. As of August 20, 2022, intake and outcome forms were available for 549 and 369 patients, respectively; 97.7% of patients were men, with a median age of 36.5 years. Among patients with available data, 38.8% were reported to be non-Hispanic White (White) persons, 99.8% were prescribed oral tecovirimat, and 93.1% were not hospitalized. Approximately one half of patients with Monkeypox virus infection who received tecovirimat were living with HIV infection. The median interval from initiation of tecovirimat to subjective improvement was 3 days and did not differ by HIV infection status. Adverse events were reported in 3.5% of patients; all but one adverse event were nonserious. These data support the continued access to and treatment with tecovirimat for patients with or at risk for severe disease in the ongoing monkeypox outbreak.

Two Cases of Monkeypox-Associated Encephalomyelitis - Colorado and the District of Columbia, July-August 2022.

Monkeypox virus (MPXV) is an orthopoxvirus in the Poxviridae family. The current multinational monkeypox outbreak has now spread to 96 countries that have not historically reported monkeypox, with most cases occurring among gay, bisexual, and other men who have sex with men (1,2). The first monkeypox case in the United States associated with this outbreak was identified in May 2022 in Massachusetts (1); monkeypox has now been reported in all 50 states, the District of Columbia (DC), and one U.S. territory. MPXV is transmitted by close contact with infected persons or animals; infection results in a febrile illness followed by a diffuse vesiculopustular rash and lymphadenopathy. However, illness in the MPXV current Clade II outbreak has differed: the febrile prodrome is frequently absent or mild, and the rash often involves genital, anal, or oral regions (3,4). Although neuroinvasive disease has been previously reported with MPXV infection (5,6), it appears to be rare. This report describes two cases of encephalomyelitis in patients with monkeypox disease that occurred during the current U.S. outbreak. Although neurologic complications of acute MPXV infections are rare, suspected cases should be reported to state, tribal, local, or territorial health departments to improve understanding of the range of clinical manifestations of and treatment options for MPXV infections during the current outbreak.

Orthopoxvirus Testing Challenges for Persons in Populations at Low Risk or Without Known Epidemiologic Link to Monkeypox - United States, 2022.

Since May 2022, approximately 20,000 cases of monkeypox have been identified in the United States, part of a global outbreak occurring in approximately 90 countries and currently affecting primarily gay, bisexual, and other men who have sex with men (MSM) (1). Monkeypox virus (MPXV) spreads from person to person through close, prolonged contact; a small number of cases have occurred in populations who are not MSM (e.g., women and children), and testing is recommended for persons who meet the suspected case definition* (1). CDC previously developed five real-time polymerase chain reaction (PCR) assays for detection of orthopoxviruses from lesion specimens (2,3). CDC was granted 510(k) clearance for the nonvariola-orthopoxvirus (NVO)-specific PCR assay by the Food and Drug Administration. This assay was implemented within the Laboratory Response Network (LRN) in the early 2000s and became critical for early detection of MPXV and implementation of public health action in previous travel-associated cases as well as during the current outbreak (4-7). PCR assays (NVO and other Orthopoxvirus laboratory developed tests [LDT]) represent the primary tool for monkeypox diagnosis. These tests are highly sensitive, and cross-contamination from other MPXV specimens being processed, tested, or both alongside negative specimens can occasionally lead to false-positive results. This report describes three patients who had atypical rashes and no epidemiologic link to a monkeypox case or known risk factors; these persons received diagnoses of monkeypox based on late cycle threshold (Ct) values ≥34, which were false-positive test results. The initial diagnoses were followed by administration of antiviral treatment (i.e., tecovirimat) and JYNNEOS vaccine postexposure prophylaxis (PEP) to patients' close contacts. After receiving subsequent testing, none of the three patients was confirmed to have monkeypox. Knowledge gained from these and other cases resulted in changes to CDC guidance. When testing for monkeypox in specimens from patients without an epidemiologic link or risk factors or who do not meet clinical criteria (or where these are unknown), laboratory scientists should reextract and retest specimens with late Ct values (based on this report, Ct ≥34 is recommended) (8). CDC can be consulted for complex cases including those that appear atypical or questionable cases and can perform additional viral species- and clade-specific PCR testing and antiorthopoxvirus serologic testing.

HIV and syphilis prevalence among transgender women and men who have sex with men, Silom Community Clinic, Bangkok, Thailand, 2017-2019.

We assessed HIV and syphilis infection among MSM and TGW attending Silom Community Clinic from 2017 to 2019. Walk-in and referral clients completed a registration application including a question on gender identity. We compared the prevalence of HIV, syphilis, and HIV and syphilis coinfection among TGW and MSM. In a total of 1050 clients, 276 (26.3%) were TGW and 774 (74.7%) were MSM. Among TGW clients, HIV prevalence was 29.8%, syphilis prevalence was 38.4%, and coinfection prevalence was 18.5%. Comparing prevalence among TGW to MSM, the adjusted prevalence ratio (aPR) for HIV was 1.8 (95% CI:1.4-2.3), for syphilis was 1.2 (95% CI:1.0-1.4), and for HIV and syphilis coinfection was 2.1 (95% CI:1.4-2.9). The prevalence of syphilis was higher than HIV among TGW, with a PR of 1.3 (95% CI:1.1-1.6), and among MSM, with a PR of 1.4 (95% CI:1.2-1.7). TGW age 15-21 years had an HIV prevalence of 16.9% and syphilis prevalence of 30.8%. After adjusting for age, referral, and sexual behaviors, TGW remain significantly associated with HIV and syphilis prevalence. There is a substantial burden of HIV and HIV/syphilis co-infection among TGW. HIV/STI prevention are needed for TGW, including linkage to HIV care.

Virtual Reality-Based Mindfulness for Chronic Pain Management: A Scoping Review.

OBJECTIVES: To identify and synthesize the scientific literature on virtual reality (VR)-based mindfulness applications for the management of chronic pain in adults. DESIGN: A scoping review methodology was followed and conducted according to Preferred Reporting Items for Systematic Review and Meta-Analyses extension for Scoping Reviews guideline. DATA SOURCES: Combinations of key words related to "virtual reality", "mindfulness", and "chronic pain" were searched for in PubMed, CINAHL, EMBASE, Scopus, and the Cochrane library databases. Title, abstracts, and full-text articles were screened against inclusion criteria. REVIEW/ANALYSIS METHODS: Braun and Clarke's thematic analysis approach was used. RESULTS: Seven studies were included in the review and their findings synthesized into three overarching themes: (1) physical and mental health benefits; (2) treatment engagement and satisfaction; and (3) intervention usability. The last theme had four subthemes which were cybersickness, physical limitations, technical support, and personalized design. CONCLUSIONS: While studies suggested VR could improve chronic pain management by enhancing the practice of mindfulness, weak study designs and small sample sizes limited the utility of the review results. Future research should rigorously co-design and test VR-based mindfulness applications with people with chronic pain to assess if they improve health and other outcomes.

Post-injury fear-avoidance and confidence in readiness to return to sport in Irish collegiate athletes.

Fear avoidance and low confidence in their ability to return to sport can impede athletes' subsequent recovery and return to sport. This study aimed to identify fear avoidance and confidence in readiness to return to sport following injury in Irish collegiate athletes. Male (416) and female (256) athletes from 24 field-sport teams at one university were prospectively followed for one season. The Athlete Fear Avoidance Questionnaire (AFAQ) and pain on the Visual Analogue Scale was completed following a time-loss injury. Prior to return to sport, participants completed the AFAQ and the Injury Psychological Readiness to Return to Sport (I-PRRS). We recorded 179 injuries. Fear avoidance was evident post-injury (21.8 ± 6.7), and the mean total I-PRRS score was 48.4 ± 8.9. Those with severe injuries presented with higher fear avoidance and lower confidence. Higher pain was associated with greater fear avoidance following injury (r = 0.32, p < 0.0001), prior to return to sport (r = 0.38, p < 0.0001), and with lower confidence (r = -0.27, p < 0.0001).   Low confidence and fear avoidance was identified, particularly in those with a severe injury or high pain levels. Identifying, and providing psychosocial support to athletes experiencing, these issues is recommended.

Exploring nurses' online perspectives and social networks during a global pandemic COVID-19.

OBJECTIVES: Examine the online interactions, social networks, and perspectives of nursing actors on COVID-19 from conversations on Twitter to understand how the profession responded to this global pandemic. DESIGN: Mixed methods. SAMPLE: Ten-thousand five-hundred and seventy-four tweets by 2790 individuals and organizations. MEASUREMENTS: NodeXL software was used for social network analysis to produce a network visualization. The betweenness centrality algorithm identified key users who were influential in COVID-19 related conversations on Twitter. Inductive content analysis enabled exploration of tweet content. A communicative figurations framework guided the study. RESULTS: Nursing actors formed different social groupings, and communicated with one another across groups. Tweets covered four themes; (1) outbreak and clinical management of the infectious disease, (2) education and information sharing, (3) social, economic, and political context, and (4) working together and supporting each other. CONCLUSION: In addition to spreading knowledge, nurses tried to reach out through social media to political and healthcare leaders to advocate for improvements needed to address COVID-19. However, they primarily conversed within their own professional community. Action is needed to better understand how social media is and can be used by nurses for health communication, and to improve their preparedness to be influential on social media beyond the nursing community.

Artificial intelligence for falls management in older adult care: A scoping review of nurses' role.

AIM: This study aims to synthesize evidence on nurses' involvement in artificial intelligence research for managing falls in older adults. BACKGROUND: Artificial intelligence techniques are used to analyse health datasets to aid clinical decision making, patient care and service delivery but nurses' involvement in this area of research for managing falls in older adults remains unknown. EVALUATION: A scoping review was conducted. CINAHL, the Cochrane Library, Embase, MEDLI and PubMed were searched. Results were screened against inclusion criteria. Relevant data were extracted, and studies summarized using a descriptive approach. KEY ISSUES: The evidence shows many artificial intelligence techniques, particularly machine learning, are used to identify falls risk factors and build predictive models that could help prevent falls in older adults, with nurses leading and participating in this research. CONCLUSION: Further rigorous experimental research is needed to determine the effectiveness of algorithms in predicting aspects of falls in older adults and how to implement artificial intelligence tools in gerontological nursing practice. IMPLICATIONS FOR NURSING MANAGEMENT: Nurses should pursue interdisciplinary collaborations and educational opportunities in artificial intelligence, so they can actively contribute to research on falls management. Nurses should facilitate the collection of digital falls datasets to support this emerging research agenda and the care of older adults.

Risk for intellectual disability populations in inpatient forensic settings in the United Kingdom: A literature review.

BACKGROUND: People with an intellectual disability who commit a criminal offence can be detained, by a court, in a forensic inpatient facility. There is limited understanding of how inpatients with an intellectual disability and their nurses navigate risk in U.K. forensic services. METHODS: A traditional literature review design was followed to map evidence (2000-2021) around the forensic and health and wellbeing risks faced by inpatients with an intellectual disability, nurses' perceptions of managing risk, and patient experiences of informing risk assessment and management. Papers were analysed thematically. RESULTS: Findings suggest that restrictive measures to mitigate forensic risks (e.g., violence) can exacerbate the risk of poor health and wellbeing outcomes. There was some limited evidence of direct patient involvement in risk assessment and management. CONCLUSION: Further research is required to explore how forensic inpatients with an intellectual disability can have input in care planning, risk assessment and management.

Uterine Cellular Blue Nevus Arising in Mullerian and Pelvic Dendritic Melanocytosis: Case Report of a Rare Phenomenon to Be Distinguished From Uterine Melanoma.

A 37-yr-old woman presented to the gynecology clinic with abnormal uterine bleeding in the setting of known, large uterine fibroids. Preoperative endometrial biopsy identified atypical melanocytic cells concerning for uterine melanoma. Care was transferred to the gynecologic oncology service for hysterectomy. Intraoperative findings included macular, blue-black pigmentation of the peritoneum of the bladder and cervix, which was resected and sent for frozen section, confirming melanocytic neoplasia. The hysterectomy revealed multiple tan leiomyomas up to 12 cm, and a distinct 3 cm black, incompletely circumscribed mass in the endomyometrium composed of bland spindled cells with delicate melanin granules. The tumor cells were positive for Sox-10, BAP1, and Mart-1 (Melan-A) and negative for PRAME, PD-L1, and BRAFV600E by immunostains. Microscopic elements of similar melanocytes and melanophages were found in the cervix and bladder peritoneum. Molecular analysis of the uterine tumor identified a GNA11 mutation but no TERT or BAP1 mutation. The uterine melanocytic tumor has characteristic findings of a cellular blue nevus arising in association with dendritic melanocytosis of Mullerian and pelvic tissues, a rarely seen benign phenomenon that should be distinguished from malignant melanoma of the upper genital tract.