Category: Nevin Manimala

Eur J Obstet Gynecol Reprod Biol. 2024 Jun 3;299:72-77. doi: 10.1016/j.ejogrb.2024.06.001. Online ahead of print.

ABSTRACT

BACKGROUND: In recent years, the integration ofArtificial intelligence (AI) into various fields of medicine including Gynaecology, has shown promising potential. Surgical treatment of fibroid is myomectomy if uterine preservation and fertility are the primary aims. AI usage begins with the involvement of LLM (Large Language Model) from the point when a patient visits a gynecologist, from identifying signs and symptoms to reaching a diagnosis, providing treatment plans, and patient counseling.

OBJECTIVE: Use of AI (ChatGPT versus Google Bard) in the surgical management of fibroid.

STUDY DESIGN: Identifyingthe patient’s problems using LLMs like ChatGPT and Google Bard and giving a treatment optionin 8 clinical scenarios of fibroid. Data entry was done using M.S. Excel and was statistically analyzed using Statistical Package for Social Sciences (SPSS Version 26) for M.S. Windows 2010. All results were presented in tabular form. Data were analyzed using nonparametric tests Chi-square tests or Fisher exact test.pvalues < 0.05 were considered statistically significant. The sensitivity of both techniques was calculated. We have used Cohen’s Kappa to know the degree of agreement.

RESULTS: We found that on the first attempt, ChatGPT gave general answers in 62.5 % of cases and specific answers in 37.5 % of cases. ChatGPT showed improved sensitivity on successive prompts 37.5 % to 62.5 % on the third prompt. Google Bard could not identify the clinical question in 50 % of cases and gave incorrect answers in 12.5 % of cases (p = 0.04). Google Bard showed the same sensitivity of 25 % on all prompts.

CONCLUSION: AI helps to reduce the time to diagnose and plan a treatment strategy for fibroid and acts as a powerful tool in the hands of a gynecologist. However, the usage of AI by patients for self-treatment is to be avoided and should be used only for education and counseling about fibroids.

PMID:38838389 | DOI:10.1016/j.ejogrb.2024.06.001

Eur J Obstet Gynecol Reprod Biol. 2024 Jun 1;299:62-70. doi: 10.1016/j.ejogrb.2024.05.044. Online ahead of print.

ABSTRACT

OBJECTIVE: The influence of hypertensive disorders of pregnancy (HDP) on left atrial (LA) mechanics assessed by speckle tracking echocardiography (STE) has been poorly investigated. Accordingly, we performed a meta-analysis to summarize the main findings of STE studies who measured LA reservoir (LASr), conduit (LAScd) and contractile (LASct) strain in HDP women.

STUDY DESIGN: All echocardiographic studies assessing LA strain parameters in HDP women vs. healthy controls, selected from PubMed and EMBASE databases, were included. The risk of bias was assessed by using the National Institutes of Health (NIH) Quality Assessment of Case-Control Studies. Continuous data (LASr, LAScd and LASct) were pooled as standardized mean difference (SMD) comparing HDP group with healthy controls. The overall SMDs of LASr, LAScd and LASct were calculated using the random-effect model.

RESULTS: The full-texts of 8 studies with 566 HDP women and 420 healthy pregnant women were analyzed. Average LASr (34.3 ± 6.4 vs 42.7 ± 5.3 %, P = 0.01) and LAScd (23.4 ± 6.3 vs 32.5 ± 6.0 %, P < 0.001) were significantly lower in HDP women than controls, whereas LASct (-13.0 ± 5.4 vs -13.7 ± 4.5 %, P = 0.18) was similar in the two groups of women. Substantial heterogeneity was detected among the studies evaluating LASr (I² = 94.3 %), LAScd (I² = 64.9 %) and LASct (I² = 86.4 %). SMDs were large and statistically significant for LASr (-1.70, 95 %CI -2.34,-1.06, P < 0.001) and LAScd (-1.35, 95 %CI -1.69,-1.00, P < 0.001), small and not statistically significant for LASct (-0.11, 95 %CI -0.60,0.39, P = 0.678) assessment. Egger’s test gave P-values of 0.10, 0.34 and 0.75 for LASr, LAScd and LASct measurement respectively, indicating no publication bias. On meta-regression analysis, none of the moderators was significantly associated with effect modification for LASr and its components (all P < 0.05).

CONCLUSIONS: HDPs are independently associated with LASr impairment in pregnancy. STE allows to identify, among HDP women, those who might benefit from a more aggressive antihypertensive treatment and/or a closer clinical follow-up, aimed at reducing the risk of adverse maternal outcome and cardiovascular complications later in life.

PMID:38838388 | DOI:10.1016/j.ejogrb.2024.05.044

J Pediatr Nurs. 2024 Jun 4;78:1-6. doi: 10.1016/j.pedn.2024.05.028. Online ahead of print.

ABSTRACT

PURPOSE: This study aimed to investigate the variables that affect early adolescents’ parents’ digital self-efficacy and digital parenting awareness.

DESIGN AND METHODS: A cross-sectional study was conducted between May and June 2022, with a sample of 2402 parents. Data were collected using a Parent Information Form, Digital Parenting Awareness Scale, and Digital Parenting Self-Efficacy Scale. The data were analysed using independent t-tests, Pearson correlations, and one-way ANOVA analysis.

RESULTS: All parents have internet access at home and on their phones, and they all use the internet. The average daily internet usage time is 4.48 ± 2.09 h. A positive correlation was found between the average scores of parents’ digital literacy (r = -0.111; p < 0.001) and digital communication (r = 0.089; p < 0.001). It was determined that the average digital communication subscale score of parents with a primary school degree was higher than that of parents with a university degree or higher (F = 2.783, p = 0.040). It was found that there was no statistical correlation between the amount of time parents spend on the internet daily and their total score and subscale scores of digital self-efficacy (p > 0.05).

CONCLUSION: This study’s results demonstrate that parents are proficient in digital security, digital literacy, and digital communication. Additionally, there is a significant correlation between digital literacy, digital communication, and digital parenting awareness.

PRACTICE IMPLICATIONS: The study results could guide the development of future interventions to enhance parents’ awareness and competence in digital safety and the use of digital tools.

PMID:38838381 | DOI:10.1016/j.pedn.2024.05.028

J Craniofac Surg. 2024 Jun 3. doi: 10.1097/SCS.0000000000010340. Online ahead of print.

ABSTRACT

INTRODUCTION: Somaliland is an autonomously run country that is not internationally recognized. As such, it has been largely excluded by global health development programs despite being the world’s fourth poorest country. The purpose of this study was to provide the first known description of the pattern and clinical profile of patients with cleft lip and palate from this nation.

METHODS: The authors performed a retrospective chart review on all patients who received cleft lip and palate repair by a single surgeon in 40 separate surgical camps at Edna Adan University Hospital in Hargeisa, Somaliland, between 2011 and 2024. Information regarding patient age, sex, cleft etiology, surgical management, and home location was retrieved. Descriptive statistical analysis was performed.

RESULTS: A total of 767 patients (495 male, 64.5%) received 787 surgical procedures. The average age of primary surgery was 73.7 months. The most common chief complaint was left cleft lip with cleft palate (316, 41.2%). Males received primary surgery 19.2 months later than did females (73.7 and 54.6 mo, respectively, P<0.001). Patients residing in Hargeisa received their initial procedure an average of 17.8 months younger than those who lived elsewhere in Somaliland (62.9 and 80.7 mo, respectively, P=0.004).

CONCLUSIONS: In this severely economically depressed region, patients received treatment at ages that lagged far beyond recommended guidelines. Our finding of earlier treatment for females than males is rare in the literature and likely relates to cultural sex expectations. Patients from rural locations were especially vulnerable to receiving delayed treatment. Further efforts to decrease the burden of craniofacial deformities in Somaliland should be pursued in earnest.

PMID:38838366 | DOI:10.1097/SCS.0000000000010340

J Phys Chem Lett. 2024 Jun 5:6222-6229. doi: 10.1021/acs.jpclett.4c01401. Online ahead of print.

ABSTRACT

Unimolecular decay of the formaldehyde oxide (CH₂OO) Criegee intermediate proceeds via a 1,3 ring-closure pathway to dioxirane and subsequent rearrangement and/or dissociation to many products including hydroxyl (OH) radicals that are detected. Vibrational activation of jet-cooled CH₂OO with two quanta of CH stretch (17-18 kcal mol^-1) leads to unimolecular decay at an energy significantly below the transition state barrier of 19.46 ± 0.25 kcal mol^-1, refined utilizing a high-level electronic structure method HEAT-345(Q)_Λ. The observed unimolecular decay rate of 1.6 ± 0.4 × 10⁶ s^-1 is 2 orders of magnitude slower than that predicted by statistical unimolecular reaction theory using several different models for quantum mechanical tunneling. The nonstatistical behavior originates from excitation of a CH stretch vibration that is orthogonal to the heavy atom motions along the reaction coordinate and slow intramolecular vibrational energy redistribution due to the sparse density of states.

PMID:38838341 | DOI:10.1021/acs.jpclett.4c01401

J Med Internet Res. 2024 Jun 5;26:e51418. doi: 10.2196/51418.

ABSTRACT

BACKGROUND: Social media use has potential to facilitate the rapid dissemination of research evidence to busy health and social care practitioners.

OBJECTIVE: This study aims to quantitatively synthesize evidence of the between- and within-group effectiveness of social media for dissemination of research evidence to health and social care practitioners. It also compared effectiveness between different social media platforms, formats, and strategies.

METHODS: We searched electronic databases for articles in English that were published between January 1, 2010, and January 10, 2023, and that evaluated social media interventions for disseminating research evidence to qualified, postregistration health and social care practitioners in measures of reach, engagement, direct dissemination, or impact. Screening, data extraction, and risk of bias assessments were carried out by at least 2 independent reviewers. Meta-analyses of standardized pooled effects were carried out for between- and within-group effectiveness of social media and comparisons between platforms, formats, and strategies. Certainty of evidence for outcomes was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework.

RESULTS: In total, 50 mixed-quality articles that were heterogeneous in design and outcome were included (n=9, 18% were randomized controlled trials [RCTs]). Reach (measured in number of practitioners, impressions, or post views) was reported in 26 studies. Engagement (measured in likes or post interactions) was evaluated in 21 studies. Direct dissemination (measured in link clicks, article views, downloads, or altmetric attention score) was analyzed in 23 studies (8 RCTs). Impact (measured in citations or measures of thinking and practice) was reported in 13 studies. Included studies almost universally indicated effects in favor of social media interventions, although effect sizes varied. Cumulative evidence indicated moderate certainty of large and moderate between-group effects of social media interventions on direct dissemination (standardized mean difference [SMD] 0.88; P=.02) and impact (SMD 0.76; P<.001). After social media interventions, cumulative evidence showed moderate certainty of large within-group effects on reach (SMD 1.99; P<.001), engagement (SMD 3.74; P<.001), and direct dissemination (SMD 0.82; P=.004) and low certainty of a small within-group effect on impacting thinking or practice (SMD 0.45; P=.02). There was also evidence for the effectiveness of using multiple social media platforms (including Twitter, subsequently rebranded X; and Facebook), images (particularly infographics), and intensive social media strategies with frequent, daily posts and involving influential others. No included studies tested the dissemination of research evidence to social care practitioners.

CONCLUSIONS: Social media was effective for disseminating research evidence to health care practitioners. More intense social media campaigns using specific platforms, formats, and strategies may be more effective than less intense interventions. Implications include recommendations for effective dissemination of research evidence to health care practitioners and further RCTs in this field, particularly investigating the dissemination of social care research.

TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42022378793; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=378793.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/45684.

PMID:38838330 | DOI:10.2196/51418

JMIR Public Health Surveill. 2024 Jun 5;10:e51323. doi: 10.2196/51323.

ABSTRACT

BACKGROUND: We have previously demonstrated that opioid prescribing increased by 127% between 1998 and 2016. New policies aimed at tackling this increasing trend have been recommended by public health bodies, and there is some evidence that progress is being made.

OBJECTIVE: We sought to extend our previous work and develop a data-driven approach to identify general practices and clinical commissioning groups (CCGs) whose prescribing data suggest that interventions to reduce the prescribing of opioids may have been successfully implemented.

METHODS: We analyzed 5 years of prescribing data (December 2014 to November 2019) for 3 opioid prescribing measures-total opioid prescribing as oral morphine equivalent per 1000 registered population, the number of high-dose opioids prescribed per 1000 registered population, and the number of high-dose opioids as a percentage of total opioids prescribed. Using a data-driven approach, we applied a modified version of our change detection Python library to identify reductions in these measures over time, which may be consistent with the successful implementation of an intervention to reduce opioid prescribing. This analysis was carried out for general practices and CCGs, and organizations were ranked according to the change in prescribing rate.

RESULTS: We identified a reduction in total opioid prescribing in 94 (49.2%) out of 191 CCGs, with a median reduction of 15.1 (IQR 11.8-18.7; range 9.0-32.8) in total oral morphine equivalence per 1000 patients. We present data for the 3 CCGs and practices demonstrating the biggest reduction in opioid prescribing for each of the 3 opioid prescribing measures. We observed a 40% proportional drop (8.9% absolute reduction) in the regular prescribing of high-dose opioids (measured as a percentage of regular opioids) in the highest-ranked CCG (North Tyneside); a 99% drop in this same measure was found in several practices (44%-95% absolute reduction). Decile plots demonstrate that CCGs exhibiting large reductions in opioid prescribing do so via slow and gradual reductions over a long period of time (typically over a period of 2 years); in contrast, practices exhibiting large reductions do so rapidly over a much shorter period of time.

CONCLUSIONS: By applying 1 of our existing analysis tools to a national data set, we were able to identify rapid and maintained changes in opioid prescribing within practices and CCGs and rank organizations by the magnitude of reduction. Highly ranked organizations are candidates for further qualitative research into intervention design and implementation.

PMID:38838327 | DOI:10.2196/51323

J Med Internet Res. 2024 Jun 5;26:e49450. doi: 10.2196/49450.

ABSTRACT

BACKGROUND: Construction and nursing are critical industries. Although both careers involve physically and mentally demanding work, the risks to workers during the COVID-19 pandemic are not well understood. Nurses (both younger and older) are more likely to experience the ill effects of burnout and stress than construction workers, likely due to accelerated work demands and increased pressure on nurses during the COVID-19 pandemic. In this study, we analyzed a large social media data set using advanced natural language processing techniques to explore indicators of the mental status of workers across both industries before and during the COVID-19 pandemic.

OBJECTIVE: This social media analysis aims to fill a knowledge gap by comparing the tweets of younger and older construction workers and nurses to obtain insights into any potential risks to their mental health due to work health and safety issues.

METHODS: We analyzed 1,505,638 tweets published on Twitter (subsequently rebranded as X) by younger and older (aged <45 vs >45 years) construction workers and nurses. The study period spanned 54 months, from January 2018 to June 2022, which equates to approximately 27 months before and 27 months after the World Health Organization declared COVID-19 a global pandemic on March 11, 2020. The tweets were analyzed using big data analytics and computational linguistic analyses.

RESULTS: Text analyses revealed that nurses made greater use of hashtags and keywords (both monograms and bigrams) associated with burnout, health issues, and mental health compared to construction workers. The COVID-19 pandemic had a pronounced effect on nurses’ tweets, and this was especially noticeable in younger nurses. Tweets about health and well-being contained more first-person singular pronouns and affect words, and health-related tweets contained more affect words. Sentiment analyses revealed that, overall, nurses had a higher proportion of positive sentiment in their tweets than construction workers. However, this changed markedly during the COVID-19 pandemic. Since early 2020, sentiment switched, and negative sentiment dominated the tweets of nurses. No such crossover was observed in the tweets of construction workers.

CONCLUSIONS: The social media analysis revealed that younger nurses had language use patterns consistent with someone experiencing the ill effects of burnout and stress. Older construction workers had more negative sentiments than younger workers, who were more focused on communicating about social and recreational activities rather than work matters. More broadly, these findings demonstrate the utility of large data sets enabled by social media to understand the well-being of target populations, especially during times of rapid societal change.

PMID:38838308 | DOI:10.2196/49450

JMIR Form Res. 2024 Jun 5;8:e53918. doi: 10.2196/53918.

ABSTRACT

BACKGROUND: The rapid development of artificial intelligence (AI) has brought significant interest to its potential applications in oncology. Although AI-powered tools are already being implemented in some Chinese hospitals, their integration into clinical practice raises several concerns for Chinese oncologists.

OBJECTIVE: This study aims to explore the concerns of Chinese oncologists regarding the integration of AI into clinical practice and to identify the factors influencing these concerns.

METHODS: A total of 228 Chinese oncologists participated in a cross-sectional web-based survey from April to June in 2023 in mainland China. The survey gauged their worries about AI with multiple-choice questions. The survey evaluated their views on the statements of “The impact of AI on the doctor-patient relationship” and “AI will replace doctors.” The data were analyzed using descriptive statistics, and variate analyses were used to find correlations between the oncologists’ backgrounds and their concerns.

RESULTS: The study revealed that the most prominent concerns were the potential for AI to mislead diagnosis and treatment (163/228, 71.5%); an overreliance on AI (162/228, 71%); data and algorithm bias (123/228, 54%); issues with data security and patient privacy (123/228, 54%); and a lag in the adaptation of laws, regulations, and policies in keeping up with AI’s development (115/228, 50.4%). Oncologists with a bachelor’s degree expressed heightened concerns related to data and algorithm bias (34/49, 69%; P=.03) and the lagging nature of legal, regulatory, and policy issues (32/49, 65%; P=.046). Regarding AI’s impact on doctor-patient relationships, 53.1% (121/228) saw a positive impact, whereas 35.5% (81/228) found it difficult to judge, 9.2% (21/228) feared increased disputes, and 2.2% (5/228) believed that there is no impact. Although sex differences were not significant (P=.08), perceptions varied-male oncologists tended to be more positive than female oncologists (74/135, 54.8% vs 47/93, 50%). Oncologists with a bachelor’s degree (26/49, 53%; P=.03) and experienced clinicians (≥21 years; 28/56, 50%; P=.054). found it the hardest to judge. Those with IT experience were significantly more positive (25/35, 71%) than those without (96/193, 49.7%; P=.02). Opinions regarding the possibility of AI replacing doctors were diverse, with 23.2% (53/228) strongly disagreeing, 14% (32/228) disagreeing, 29.8% (68/228) being neutral, 16.2% (37/228) agreeing, and 16.7% (38/228) strongly agreeing. There were no significant correlations with demographic and professional factors (all P>.05).

CONCLUSIONS: Addressing oncologists’ concerns about AI requires collaborative efforts from policy makers, developers, health care professionals, and legal experts. Emphasizing transparency, human-centered design, bias mitigation, and education about AI’s potential and limitations is crucial. Through close collaboration and a multidisciplinary strategy, AI can be effectively integrated into oncology, balancing benefits with ethical considerations and enhancing patient care.

PMID:38838307 | DOI:10.2196/53918

JMIR Cancer. 2024 Jun 5;10:e45331. doi: 10.2196/45331.

ABSTRACT

BACKGROUND: Telehealth has emerged as a popular channel for providing outpatient services in many countries. However, the majority of telehealth systems focus on operational functions and offer only a sectional patient journey at most. Experiences with incorporating longitudinal real-world medical record data into telehealth are valuable but have not been widely shared. The feasibility and usability of such a telehealth platform, with comprehensive, real-world data via a live feed, for cancer patient care are yet to be studied.

OBJECTIVE: The primary purpose of this study is to understand the feasibility and usability of cancer patient care using a telehealth platform with longitudinal, real-world data via a live feed as a supplement to hospital electronic medical record systems specifically from physician’s perspective.

METHODS: A telehealth platform was constructed and launched for both physicians and patients. Real-world data were collected and curated using a comprehensive data model. Physician activities on the platform were recorded as system logs and analyzed. In February 2023, a survey was conducted among the platform’s registered physicians to assess the specific areas of patient care and to quantify their before and after experiences, including the number of patients managed, time spent, dropout rate, visit rate, and follow-up data. Descriptive and inferential statistical analyses were performed on the data sets.

RESULTS: Over a period of 15 months, 16,035 unique users (13,888 patients, 1539 friends and family members, and 174 physician groups with 608 individuals) registered on the platform. More than 382,000 messages including text, reminders, and pictures were generated by physicians when communicating with patients. The survey was completed by 78 group leaders (45% of the 174 physician groups). Of the participants, 84% (65.6/78; SD 8.7) reported a positive experience, with efficient communication, remote supervision, quicker response to questions, adverse event prevention, more complete follow-up data, patient risk reduction, cross-organization collaboration, and a reduction in in-person visits. The majority of the participants (59/78, 76% to 76/78, 97.4%) estimated improvements in time spent, number of patients managed, the drop-off rate, and access to medical history, with the average ranging from 57% to 105%. When compared with prior platforms, responses from physicians indicated better experiences in terms of time spent, the drop-off rate, and medical history, while the number of patients managed did not significantly change.

CONCLUSIONS: This study suggests that a telehealth platform, equipped with comprehensive, real-world data via a live feed, is feasible and effective for cancer patient care. It enhances inpatient management by improving time efficiencies, reducing drop-off rates, and providing easy access to medical history. Moreover, it fosters a positive experience in physician-patient interactions.

PMID:38838304 | DOI:10.2196/45331