Nevin Manimala

Cornea. 2023 Nov 22. doi: 10.1097/ICO.0000000000003430. Online ahead of print.

ABSTRACT

PURPOSE: Schirmer test results are widely used for ocular surface disease assessment, but Schirmer strips are not standardized. We compare the characteristics and tear volume with millimeter moisture migration in different brands of Schirmer strips and introduce methods for volume-based, brand-independent calibration.

METHODS: Physical parameters of Haag-Streit, EagleVision, TearFlo, Contacare, and MIPL/A6 Schirmer strip brands were compared. Schirmer strip millimeter moisture migration distances were assessed 5 minutes after application of incremental microliter volumes of human tears. Linear regression analysis of data points from each Schirmer strip brand was performed, and the root-mean-square deviation of data points to the best-fit linear regression was calculated. Calibration correction was performed by converting migration distance to the corresponding tear volume. A reference table and calibration method formulas were created.

RESULTS: Schirmer strips differed in design, shape, and manufacturing precision. Strip width, weight, and length were different between the 5 brands (P < 0.05). A wide range of Schirmer strip moisture migration values for identical tear volumes was observed among brands. Statistical measurement resulted in a root-mean-square deviation of 2.9 mm for all data points from all brands. Millimeter to volume and weight to volume-based calibration correction methods resulted in a 2.2- and 3.1-fold measurement error reduction, respectively.

CONCLUSIONS: Our findings highlight the lack of standardization among different brands of Schirmer strips, raising concerns about potential sources of unintentional measurement errors. We propose volume-based Schirmer strip calibration methods and conversion of millimeter to microliter results to achieve brand-independent results and improve Schirmer test accuracy.

PMID:38015937 | DOI:10.1097/ICO.0000000000003430

JMIR Cancer. 2023 Nov 28;9:e48040. doi: 10.2196/48040.

ABSTRACT

BACKGROUND: Mobile health technologies, underpinned by scientific evidence and ethical standards, exhibit considerable promise and potential in actively engaging consumers and patients while also assisting health care providers in delivering cancer prevention and care services. The WASABY mobile app was conceived as an innovative, evidence-based mobile health tool aimed at disseminating age-appropriate messages from the European Code Against Cancer (ECAC) to adolescents across Europe.

OBJECTIVE: This study aims to assess the outcomes of the design, development, and promotion of the WASABY app through a 3-pronged evaluation framework that encompasses data on social media promotion, app store traffic, and user engagement.

METHODS: The WASABY app’s content, cocreated with cancer-focused civil society organizations across 6 European countries, drew upon scientific evidence from the ECAC. The app’s 10 modules were designed using the health belief model and a gamification conceptual framework characterized by spaced repetition learning techniques, refined through 2 rounds of testing. To evaluate the effectiveness of the app, we conducted a retrospective cohort study using the WASABY app’s user database registered from February 4 to June 30, 2021, using a 3-pronged assessment framework: social media promotion, app store traffic, and user engagement. Descriptive statistics and association analyses explored the relationship between sociodemographic variables and user performance analytics.

RESULTS: After extensive promotion on various social media platforms and subsequent traffic to the Apple App and Google Play stores, a sample of 748 users aged between 14 and 19 years was included in the study cohort. The selected sample exhibited a mean age of 16.08 (SD 1.28) years and was characterized by a predominant representation of female users (499/748, 66.7%). Most app users identified themselves as nonsmokers (689/748, 92.1%), reported either no or infrequent alcohol consumption (432/748, 57.8% and 250/748, 33.4%, respectively), and indicated being physically active for 1 to 5 hours per week (505/748, 67.5%). In aggregate, the app’s content garnered substantial interest, as evidenced by 40.8% (305/748) of users visiting each of the 10 individual modules. Notably, sex and smoking habits emerged as predictors of app completion rates; specifically, male and smoking users demonstrated a decreased likelihood of successfully completing the app’s content (odds ratio 0.878, 95% CI 0.809-0.954 and odds ratio 0.835, 95% CI 0.735-0.949, respectively).

CONCLUSIONS: The development and promotion of the WASABY app presents a valuable case study, illustrating the effective dissemination of evidence-based recommendations on cancer prevention within the ECAC through an innovative mobile app aimed at European adolescents. The data derived from this study provide insightful findings for the implementation of Europe’s Beating Cancer Plan, particularly the creation of the EU Mobile App for Cancer Prevention.

PMID:38015612 | DOI:10.2196/48040

JMIR Med Inform. 2023 Nov 28;11:e48933. doi: 10.2196/48933.

ABSTRACT

BACKGROUND: This research integrates a comparative analysis of the performance of human researchers and OpenAI’s ChatGPT in systematic review tasks and describes an assessment of the application of natural language processing (NLP) models in clinical practice through a review of 5 studies.

OBJECTIVE: This study aimed to evaluate the reliability between ChatGPT and human researchers in extracting key information from clinical articles, and to investigate the practical use of NLP in clinical settings as evidenced by selected studies.

METHODS: The study design comprised a systematic review of clinical articles executed independently by human researchers and ChatGPT. The level of agreement between and within raters for parameter extraction was assessed using the Fleiss and Cohen κ statistics.

RESULTS: The comparative analysis revealed a high degree of concordance between ChatGPT and human researchers for most parameters, with less agreement for study design, clinical task, and clinical implementation. The review identified 5 significant studies that demonstrated the diverse applications of NLP in clinical settings. These studies’ findings highlight the potential of NLP to improve clinical efficiency and patient outcomes in various contexts, from enhancing allergy detection and classification to improving quality metrics in psychotherapy treatments for veterans with posttraumatic stress disorder.

CONCLUSIONS: Our findings underscore the potential of NLP models, including ChatGPT, in performing systematic reviews and other clinical tasks. Despite certain limitations, NLP models present a promising avenue for enhancing health care efficiency and accuracy. Future studies must focus on broadening the range of clinical applications and exploring the ethical considerations of implementing NLP applications in health care settings.

PMID:38015610 | DOI:10.2196/48933

JMIR Form Res. 2023 Nov 28;7:e50867. doi: 10.2196/50867.

ABSTRACT

BACKGROUND: Maternal health outcomes have been underresearched due to people who are pregnant being underrepresented or excluded from studies based on their status as a vulnerable study population. Based on the available evidence, Black people who are pregnant have dramatically higher maternal morbidity and mortality rates compared to other racial and ethnic groups. However, insights into prenatal care-including the use of medications, immunizations, and prenatal vitamins-are not well understood for pregnant populations, particularly those that are underrepresented in biomedical research. Medication use has been particularly understudied in people who are pregnant; even though it has been shown that up to 95% of people who are pregnant take at least 1 or more medications. Understanding gaps in use could help identify ways to reduce maternal disparities and optimize maternal health outcomes.

OBJECTIVE: We aimed to characterize and compare the use of prenatal vitamins, immunizations, and commonly used over-the-counter and prescription medications among people who are pregnant, those self-identifying as Black versus non-Black, and those living in rural versus urban regions in the United States.

METHODS: We conducted a prospective, decentralized study of 4130 pregnant study participants who answered survey questionnaires using a mobile research app that was only available on iOS (Apple Inc) devices. All people who were pregnant, living in the United States, and comfortable with reading and writing in English were eligible. The study was conducted in a decentralized fashion with the use of a research app to facilitate enrollment using an eConsent and self-reported data collection.

RESULTS: Within the study population, the use of prenatal vitamins, antiemetics, antidepressants, and pain medication varied significantly among different subpopulations underrepresented in biomedical research. Black participants reported significantly lower frequencies of prenatal vitamin use compared to non-Black participants (P<.001). The frequency of participants who were currently receiving treatment for anxiety and depression was also lower among Black and rural groups compared to their non-Black and urban counterparts, respectively. There was significantly lower use of antidepressants (P=.002) and antiemetics (P=.02) among Black compared to non-Black participants. While prenatal vitamin use was lower among participants in rural areas, the difference between rural and urban groups did not reach statistical significance (P=.08). There were no significant differences in vaccine uptake for influenza or tetanus-diphtheria-pertussis (TDaP) across race, ethnicity, rural, or urban status.

CONCLUSIONS: A prospective, decentralized app-based study demonstrated significantly lower use of prenatal vitamins, antiemetics, and antidepressants among Black pregnant participants. Additionally, significantly fewer Black and rural participants reported receiving treatment for anxiety and depression during pregnancy. Future research dedicated to identifying the root mechanisms of these differences can help improve maternal health outcomes, specifically for diverse communities.

PMID:38015604 | DOI:10.2196/50867

J Med Internet Res. 2023 Nov 28;25:e47849. doi: 10.2196/47849.

ABSTRACT

BACKGROUND: Health technology innovation is increasingly supported by a bottom-up approach to priority setting, aiming to better reflect the concerns of its intended beneficiaries. Web-based forums provide parents with an outlet to share concerns, advice, and information related to parenting and the health and well-being of their children. They provide a rich source of data on parenting concerns and priorities that could inform future child health research and innovation.

OBJECTIVE: The aim of the study is to identify common concerns expressed on 2 major web-based forums and cluster these to identify potential family health concern topics as indicative priority areas for future research and innovation.

METHODS: We text-mined the r/Parenting subreddit (69,846 posts) and the parenting section of Mumsnet (99,848 posts) to create a large corpus of posts. A generative statistical model (latent Dirichlet allocation) was used to identify the most discussed topics in the corpus, and content analysis was applied to identify the parenting concerns found in a subset of posts.

RESULTS: A model with 25 topics produced the highest coherence and a wide range of meaningful parenting concern topics. The most frequently expressed parenting concerns are related to their child’s sleep, self-care, eating (and food), behavior, childcare context, and the parental context including parental conflict. Topics directly associated with infants, such as potty training and bottle feeding, were more common on Mumsnet, while parental context and screen time were more common on r/Parenting.

CONCLUSIONS: Latent Dirichlet allocation topic modeling can be applied to gain a rapid, yet meaningful overview of parent concerns expressed on a large and diverse set of social media posts and used to complement traditional insight gathering methods. Parents framed their concerns in terms of children’s everyday health concerns, generating topics that overlap significantly with established family health concern topics. We provide evidence of the range of family health concerns found at these sources and hope this can be used to generate material for use alongside traditional insight gathering methods.

PMID:38015600 | DOI:10.2196/47849

JMIR Med Inform. 2023 Nov 28;11:e44773. doi: 10.2196/44773.

ABSTRACT

BACKGROUND: The medical teams in intensive care units (ICUs) spend increasing amounts of time at computer systems for data processing, input, and interpretation purposes. As each patient creates about 1000 data points per hour, the available information is abundant, making the interpretation difficult and time-consuming. This data flood leads to a decrease in time for evidence-based, patient-centered care. Information systems, such as patient data management systems (PDMSs), are increasingly used at ICUs. However, they often create new challenges arising from the increasing documentation burden.

OBJECTIVE: New concepts, such as artificial intelligence (AI)-based assistant systems, are hence introduced to the workflow to cope with these challenges. However, there is a lack of standardized, published metrics in order to compare the various data input and management systems in the ICU setting. The objective of this study is to compare established documentation and retrieval processes with newer methods, such as PDMSs and voice information and documentation systems (VIDSs).

METHODS: In this crossover study, we compare traditional, paper-based documentation systems with PDMSs and newer AI-based VIDSs in terms of performance (required time), accuracy, mental workload, and user experience in an intensive care setting. Performance is assessed on a set of 6 standardized, typical ICU tasks, ranging from documentation to medical interpretation.

RESULTS: A total of 60 ICU-experienced medical professionals participated in the study. The VIDS showed a statistically significant advantage compared to the other 2 systems. The tasks were completed significantly faster with the VIDS than with the PDMS (1-tailed t₅₉=12.48; Cohen d=1.61; P<.001) or paper documentation (t₅₉=20.41; Cohen d=2.63; P<.001). Significantly fewer errors were made with VIDS than with the PDMS (t₅₉=3.45; Cohen d=0.45; P=.03) and paper-based documentation (t₅₉=11.2; Cohen d=1.45; P<.001). The analysis of the mental workload of VIDS and PDMS showed no statistically significant difference (P=.06). However, the analysis of subjective user perception showed a statistically significant perceived benefit of the VIDS compared to the PDMS (P<.001) and paper documentation (P<.001).

CONCLUSIONS: The results of this study show that the VIDS reduced error rate, documentation time, and mental workload regarding the set of 6 standardized typical ICU tasks. In conclusion, this indicates that AI-based systems such as the VIDS tested in this study have the potential to reduce this workload and improve evidence-based and safe patient care.

PMID:38015593 | DOI:10.2196/44773

J Addict Nurs. 2023 Oct-Dec 01;34(4):273-279. doi: 10.1097/JAN.0000000000000554.

ABSTRACT

The paucity of education and training on alcohol use disorders (AUDs) in nursing curricula is the main predictor of negative attitudes and results in limited knowledge access and delivery of health care for persons experiencing these problems. Although experts advocate increasing the time devoted to alcohol-related content in a crowded curriculum, didactic strategies for teaching about addiction in prequalifying nursing education have been discussed. This study aimed to verify the effectiveness of an educational experience that integrated clinical practicum experience in addiction treatment facilities for nursing students’ attitudes. A quasi-experimental one-group study with pre-and-post 3-month follow-ups was carried out with 108 nursing students who answered the Attitudes Scale toward Alcohol, Alcohol Use Disorder, and Patients with Alcohol Use Disorders. The effect of the clinical practicum was apparent, with statistically significant changes to more positive global attitude scores in all measures. Previous educational intervention for AUDs during nursing education was a predictor of positive attitudes (OR = 7.21, p < .04). Students’ self-perceived skills and professional preparation to deliver and direct care for patients with AUDs improved after the intervention, suggesting that clinical practice influenced students’ skills for AUD identification across nursing practice. Previous contact with this population with lack of training in substance use disorder seems to favor negative attitude development. Clinical practicum experience in addiction treatment facilities improved nursing students’ attitudes toward AUDs and patients with AUDs, and its effects were sustained 3 months later.

PMID:38015578 | DOI:10.1097/JAN.0000000000000554

J Addict Nurs. 2023 Oct-Dec 01;34(4):266-272. doi: 10.1097/JAN.0000000000000549.

ABSTRACT

Patients with substance use disorder (SUD) encounter many barriers to healthcare, including negative attitudes of healthcare personnel. Compared with other healthcare professions, nurses have been reported as having less tolerant attitudes toward patients with SUD. Knowledge acquisition combined with role support has been shown to improve therapeutic attitudes of nurses toward patients with SUD. Screening, Brief Intervention, and Referral to Treatment (SBIRT) is an evidence-based educational intervention aimed to improve the outcomes of patients at risk and with SUD. SBIRT education has been shown as an effective educational tool with licensed nurses. Therefore, the aim of this study was to evaluate whether a 2-hour educational session on SBIRT (Mitchell et al., 2013) improved the therapeutic attitudes of nurses toward patients with SUD. Peplau’s theory of interpersonal relations guided this study with an emphasis on the nurse-patient relationship. A quasi-experimental pretest/posttest design was used to evaluate nurses’ attitudes pre and post a 2-hour educational session. Participants included 65 registered nurses employed in a 247-bed teaching hospital in New England. Attitudes were measured before and after the educational session using the 20-item, five-subscale Drug and Drug Problems Perceptions Questionnaire. A paired t test was performed, showing statistically significant improvements in attitudes postintervention. Prior education on SUD significantly correlated with baseline attitudes. A standard regression model, with practice setting, family history of SUD, and prior education as dependent variables, was not predictive of baseline attitudes. The results suggest conducting SBIRT should be considered a mandatory nursing competency, both in undergraduate curriculum and among licensed nurses.

PMID:38015577 | DOI:10.1097/JAN.0000000000000549

Int Angiol. 2023 Nov 28. doi: 10.23736/S0392-9590.23.05108-8. Online ahead of print.

ABSTRACT

INTRODUCTION: Chronic venous disease (CVD) can lead to considerable morbidity and impact health-related quality of life (HRQoL). The aim of this review was twofold: (i) to provide a deeper understanding of how CVD affects HRQoL (physical, psychological and social functioning), and (ii) to review the impact of evidence-based veno-active drugs (VADs) on HRQoL.

EVIDENCE ACQUISITION: For the effect of CVD on HRQoL, information was gathered during an Expert Consensus Meeting, during which data were presented from both the patient and physician perspective assessed with validated quality-of-life measures. For the impact of VADs on HRQoL, a systematic literature review was performed using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Electronic databases were searched for real world evidence or randomized-controlled trials (RCT) vs. placebo, reporting data on the influence of VADs on HRQoL in patients with CVD.

EVIDENCE SYNTHESIS: CVD can negatively affect daily life in a number of areas related to pain, physical function and social activities. The impact of CVD on HRQoL begins early in the disease and for patients the emotional burden of the disease is as high as the physical burden. In contrast, physicians tend to overestimate the physical impact. The database search yielded 184 unique records, of which 19 studies reporting on VADs and HRQoL in patients with CVD met the inclusion criteria (13 observational and 6 RCTs). Micronized purified flavonoid fraction (MPFF) was the most represented agent, associated with 12/19 studies (2 RCTs and 10 observational). Three of the 6 RCTs provided statistically significant evidence for improvement on HRQoL compared with placebo: two for MPFF (24.4% and 19.2% improvement in HRQoL vs. placebo, respectively) and one for a low-dose diosmin (20% improvement vs. placebo); for the other VADs improvements in HRQoL were not statistically different from placebo. MPFF was also associated with improvements in HRQoL in the observational studies, across all CEAP clinical classes, as monotherapy or in combination with other conservative therapy, and for all aspects of HRQoL: physical, psychological, and social. Real-world data for the other VADs were scarce. Ruscus extract, sulodexide and a semi-synthetic diosmin were each represented by a single observational study and these limited data were associated with statistically significant improvements compared with baseline in overall and subdomain scores across the range of CEAP clinical classes.

CONCLUSIONS: CVD can impair patients’ HRQoL significantly at all stages of the disease. MPFF has the greatest evidence base of clinical use in both RCT and real-world observational studies for effectiveness on HRQoL and is recognized by international guidelines.

PMID:38015554 | DOI:10.23736/S0392-9590.23.05108-8

Cell Mol Biol (Noisy-le-grand). 2023 Nov 15;69(11):30-35. doi: 10.14715/cmb/2023.69.11.5.

ABSTRACT

Colorectal cancer (CRC) is the third leading cause of cancer-related deaths worldwide. The tumor suppressor gene MT-CO1, and Kristen Rat Sarcoma Virus (KRAS), an oncogene are primarily responsible for controlling cell apoptosis, cell cycle arrest, and cell proliferation, and any irregularities in these genes could lead to cancer. This study aims to examine the expression of KRAS and MT-CO1 in CRC biopsy specimens and investigate their relationship with one another in CRC patients residing in the Erbil city of Kurdistan Region, Iraq. The study involved categorizing 42 sets of colorectal cancer tissues and their corresponding controls based on their types and patients’ clinical characteristics. The expression of KRAS and MT-CO1 in the samples was assessed using Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR), with statistical significance set at p<0.05. The expression of KRAS was found to be significantly higher in CRC compared to the control (n=42, p=0.0001). On the other hand, the expression of MT-CO1 did not exhibit significant differences compared to the control group with a p-value of 0.12. Furthermore, the Chi-square and correlation analysis results depicted that MT-CO1 expression negatively correlates with KRAS expression (p= 0.0001, r= -0.047) in CRC tissues. In conclusion, the variation in the expression of KRAS and MT-CO1, and their correlations could potentially serve as a good indicator in the detection and prognosis of CRC, which might lead to better translational research on the same. However, for a better understanding of the underlying mechanisms, further analysis is required.

PMID:38015545 | DOI:10.14715/cmb/2023.69.11.5