Tag: pubmed

J Environ Manage. 2024 Nov 18;372:123396. doi: 10.1016/j.jenvman.2024.123396. Online ahead of print.

ABSTRACT

Scientific assessments of the supply, demand and flow of ecosystem services and the formulation of ecological compensation policies are important for the promotion of sustainable regional development. Based on the supply-demand ratio model, breakpoint model, field strength model, geographic information system spatial analysis and statistical methods, we assessed the supply, demand and supply-demand relationships of carbon sequestration services on the Loess Plateau for 2000, 2010 and 2020. We also analyzed the interregional flow of carbon sequestration services at multiple scales and accounted for horizontal ecological compensation. The results revealed that from 2000 to 2020, both the supply and demand of carbon sequestration services increased, with a greater increase in demand. The high-supply areas were mostly in the central and northwestern parts of the Loess Plateau, and the high-demand areas were mostly in areas other than the central part. The supply-demand ratio for carbon sequestration services declined, with a large increase in the number of deficit counties and surplus counties, mostly in the central and western parts of the study area. The flow rates of carbon sequestration services within the Loess Plateau increased. The intercounty flow rates within the same city were the highest but decreased. Decreasing intercity flow rates appeared within the same province although they initially increased. Finally, interprovincial flow rates were the lowest, but they were increasing. The outflow of carbon sequestration services from the Loess Plateau to external regions was greater than the inflow from external regions, but the outflow decreased in 2020 compared with 2010, while the inflow from external regions increased. Most cities actually received or paid less ecological compensation than that accounted for based on the basis of flow rates after considering willingness to pay and ability to pay. Moreover, the number and total compensation of cities receiving ecological compensation were greater than the number and total compensation of payers in the 44 cities within the Loess Plateau. This study provides a theoretical basis for not only understanding the spatial transfer patterns of ecosystem services at multiple scales but also formulating ecological compensation policies, thereby promoting the realization of regional sustainable development.

PMID:39561450 | DOI:10.1016/j.jenvman.2024.123396

Semergen. 2024 Oct 21;51(1):102332. doi: 10.1016/j.semerg.2024.102332. Online ahead of print.

ABSTRACT

This article explores the application of the chi-squared test of homogeneity in the context of clinical studies, using a previous study on the efficacy of two analgesics for treating headache as an example. The sample included 215 patients, whose responses to treatment were assessed and recorded across four pain intensity categories. The test allowed for the identification of significant differences between the treatments evaluated, proving to be a valuable statistical tool for comparing groups in clinical research. This approach provides clarity and precision in the interpretation of categorical data, essential for informed decision-making in medical practice.

PMID:39561418 | DOI:10.1016/j.semerg.2024.102332

JMIR Form Res. 2024 Nov 19;8:e65199. doi: 10.2196/65199.

ABSTRACT

BACKGROUND: Technology-facilitated sexual violence and abuse (TFSVA) encompasses a range of behaviors where digital technologies are used to enable both virtual and in-person sexual violence. Given that TFSVA is an emerging and continually evolving form of sexual abuse, it has been challenging to establish a universally accepted definition or to develop standardized measures for its assessment.

OBJECTIVE: This study aimed to address the significant gap in research on TFSVA within the Chinese context. Specifically, it sought to develop a TFSVA measurement tool with robust content validity, tailored for use in subsequent epidemiological studies within the Chinese context.

METHODS: The first step in developing the measurement approach for TFSVA victimization and perpetration was to conduct a thorough literature review of existing empirical research on TFSVA and relevant measurement tools. After the initial generation of items, all the items were reviewed by an expert panel to assess the face validity. The measurement items were further reviewed by potential research participants, who were recruited through snowball sampling via online platforms. The assessment results were quantified by computing the content validity index (CVI). The participants were asked to rate each scale item in terms of its relevance, appropriateness, and clarity regarding the topic.

RESULTS: The questionnaire was reviewed by 24 lay experts, with a mean age of 27.96 years. They represented different genders and sexual orientations. The final questionnaire contained a total of 89 items. Three key domains were identified to construct the questionnaire, which included image-based sexual abuse, nonimage-based TFSVA, and online-initiated physical sexual violence. The overall scale CVI values of relevance, appropriateness, and clarity for the scale were 0.90, 0.96, and 0.97, respectively, which indicated high content validity for all the instrument items. To ensure the measurement accurately reflects the experiences of diverse demographic groups, the content validity was further analyzed by gender and sexual orientation. This analysis revealed variations in item validity among participants from different genders and sexual orientations. For instance, heterosexual male respondents showed a particularly low CVI for relevance of 0.20 in the items related to nudity, including “male’s chest/nipples are visible” and “the person is sexually suggestive.” This underscored the importance of an inclusive approach when developing a measurement for TFSVA.

CONCLUSIONS: This study greatly advances the assessment of TFSVA by examining the content validity of our newly developed measurement. The findings revealed that our measurement tool demonstrated adequate content validity, thereby providing a strong foundation for assessing TFSVA within the Chinese context. Implementing this tool is anticipated to enhance our understanding of TFSVA and aid in the development of effective interventions to combat this form of abuse.

PMID:39561365 | DOI:10.2196/65199

J Med Internet Res. 2024 Nov 19;26:e53781. doi: 10.2196/53781.

ABSTRACT

BACKGROUND: The massive increase in the number of published scientific articles enhances knowledge but makes it more complicated to summarize results. The Medical Subject Headings (MeSH) thesaurus was created in the mid-20th century with the aim of systematizing article indexing and facilitating their retrieval. Despite the advent of search engines, few studies have questioned the relevance of the MeSH thesaurus, and none have done so systematically.

OBJECTIVE: The objective of this study was to estimate the added value of using MeSH terms in PubMed queries for systematic reviews (SRs).

METHODS: SRs published in 4 high-impact medical journals in general medicine over the past 10 years were selected. Only SRs for which a PubMed query was provided were included. Each query was transformed to obtain 3 versions: the original query (V1), the query with free-text terms only (V2), and the query with MeSH terms only (V3). These 3 queries were compared with each other based on their sensitivity and positive predictive values.

RESULTS: In total, 59 SRs were included. The suppression of MeSH terms had an impact on the number of relevant articles retrieved for 24 (41%) out of 59 SRs. The median (IQR) sensitivities of queries V1 and V2 were 77.8% (62.1%-95.2%) and 71.4% (42.6%-90%), respectively. V1 queries provided an average of 2.62 additional relevant papers per SR compared with V2 queries. However, an additional 820.29 papers had to be screened. The cost of screening an additional collected paper was therefore 313.09, which was slightly more than triple the mean reading cost associated with V2 queries (88.67).

CONCLUSIONS: Our results revealed that removing MeSH terms from a query decreases sensitivity while slightly increasing the positive predictive value. Queries containing both MeSH and free-text terms yielded more relevant articles but required screening many additional papers. Despite this additional workload, MeSH terms remain indispensable for SRs.

PMID:39561364 | DOI:10.2196/53781

Interact J Med Res. 2024 Nov 19;13:e64248. doi: 10.2196/64248.

ABSTRACT

BACKGROUND: Long-term care hospitals have been considered an efficient response to the health care needs of an increasingly aging population. These centers are expected to contribute to better hospital bed management and more personalized care for patients needing continuous care. The evaluation of their outcomes is necessary after a sufficient period to assess their impact. Hospitals for Acute and Chronic Long-Term Extended Stay (HACLES) emerged in Spain in the late 20th century as a response to the aging population and the increase in chronic diseases.

OBJECTIVE: This study aimed to analyze the profile of patients treated in a HACLES, particularly analyzing gender differences, and evaluate the cost savings associated with using these centers.

METHODS: A retrospective study was conducted based on data from patients 65 years old or older admitted to a HACLES between 2022 and 2023. Gender, age, household cohabitation data, diagnosis and comorbidity, daily medication intake, and degree of dependency were obtained to describe the profile of patients who attended the HACLES. Data coded in SIA-Abucasis (version 37.00.03; Consellería Sanitat, Generalitat Valenciana; a digital medical record system used in the Valencian region) were reviewed, and descriptive statistics and comparison tests were used. The direct cost savings of HACLES admissions were calculated by comparing the daily cost of a general hospital bed with that of a HACLES bed.

RESULTS: Data from 123 patients with a mean age of 77 years were analyzed. Most (n=81, 65.9%) had a cohabiting family member as their primary caregiver. Palliative care was the most frequent reason for admission (n=75, 61%). The mortality rate (odds ratio [OR] 61.8, 95% CI 53.2-70.5) was similar between men and women (OR 54.1, 95% CI 47.8-71.5 vs OR 59.7, 95% CI 42.2-66.0; P=.23). The cognitive assessment, using the Pfeiffer scale, improved at discharge (mean 3.2, SD 3.2 vs mean 2.5, SD 3.1; P=.003). The length of stay was significantly larger for patients who returned home compared with patients discharged to other facilities (mean 89.8, SD 58.2 versus mean 33.1, SD 43.1 days; P<.001). The direct cost savings were estimated at US $42,614,846 per 1000 admissions.

CONCLUSIONS: Patients typically treated in HACLES are older, with a high level of cognitive impairment and physical dependency, and a significant proportion are in palliative care, highlighting the importance of adapting care to the individual needs of the admitted patients. The HACLES model contributes to the sustainability of the public health system.

PMID:39561362 | DOI:10.2196/64248

JMIR Form Res. 2024 Nov 19;8:e60037. doi: 10.2196/60037.

ABSTRACT

BACKGROUND: The use of smartphone apps for dietary self-management among patients with high blood pressure is becoming increasingly common. Few commercially available DASH (Dietary Approaches to Stop Hypertension) diet apps have the potential to be effective, and only a few of these have adequate security and privacy measures. In previous studies, we identified 2 high-quality apps that are likely effective and safe. One of these, the Noom app, was selected as the most suitable app for use in the Saudi Arabian context based on health care professionals’ and patients’ preferences.

OBJECTIVE: This study aims to determine the feasibility and acceptability of using the Noom app to support DASH diet self-management among people with high blood pressure in Saudi Arabia.

METHODS: This mixed methods study evaluated the feasibility and acceptability of using the Noom app among people with high blood pressure in Riyadh, Saudi Arabia. Fourteen participants with high blood pressure were recruited and asked to use the app for 8 weeks. The quantitative outcome measures were DASH diet adherence and self-efficacy. Feasibility and acceptability were assessed during and after the intervention via the Noom diet-tracking engagement questionnaire, the System Usability Scale, and semistructured interviews.

RESULTS: Most participants (8/13, 62%) logged their meals for 3 to 5 days a week; the frequency of logging increased over time. Snacks were the foods they most often forgot to log. The interviews revealed four main themes: (1) acceptance, (2) app usability, (3) technical issues, and (4) suggestions for improvement. Most participants found the Noom app acceptable, and most had no difficulties integrating it into their daily routines. The results of this feasibility study provided insights into the app’s educational content, some of which was deemed unsuitable for Saudi Arabian users. App usability was identified as a critical theme: the app and its database were easy to use, convenient, and valuable to most of the participants. Despite this, some of the participants reported difficulties in identifying some foods because of a lack of local options on the app. Technical issues included the app freezing or responding slowly. Most participants also suggested developing an Arabic version of the app and simplifying the method of food logging. The participants showed some improvement in self-efficacy and adherence to the DASH diet, although these improvements were not statistically significant. The mean self-efficacy score increased from 18 (SD 4.7) to 20 (SD 6.3), and the mean DASH diet score increased from 3.4 (SD 1.4) to 4.3 (SD 1.1).

CONCLUSIONS: The app was feasible and acceptable among the participants who completed the study. Further studies are needed to examine the potential of smartphone apps in promoting adherence to the DASH diet and their impact on blood pressure among individuals with hypertension in Saudi Arabia.

PMID:39561360 | DOI:10.2196/60037

JMIR Med Inform. 2024 Nov 19;12:e59480. doi: 10.2196/59480.

ABSTRACT

BACKGROUND: Prostate cancer is the second leading cause of death among American men. If detected and treated at an early stage, prostate cancer is often curable. However, an advanced stage such as metastatic castration-resistant prostate cancer (mCRPC) has a high risk of mortality. Multiple treatment options exist, the most common included docetaxel, abiraterone, and enzalutamide. Docetaxel is a cytotoxic chemotherapy, whereas abiraterone and enzalutamide are androgen receptor pathway inhibitors (ARPI). ARPIs are preferred over docetaxel due to lower toxicity. No study has used machine learning with patients’ demographics, test results, and comorbidities to identify heterogeneous treatment rules that might improve the survival duration of patients with mCRPC.

OBJECTIVE: This study aimed to measure patient-level heterogeneity in the association of medication prescribed with overall survival duration (in the form of follow-up days) and arrive at a set of medication prescription rules using patient demographics, test results, and comorbidities.

METHODS: We excluded patients with mCRPC who were on docetaxel, cabaxitaxel, mitoxantrone, and sipuleucel-T either before or after the prescription of an ARPI. We included only the African American and white populations. In total, 2886 identified veterans treated for mCRPC who were prescribed either abiraterone or enzalutamide as the first line of treatment from 2014 to 2017, with follow-up until 2020, were analyzed. We used causal survival forests for analysis. The unit level of analysis was the patient. The primary outcome of this study was follow-up days indicating survival duration while on the first-line medication. After estimating the treatment effect, a prescription policy tree was constructed.

RESULTS: For 2886 veterans, enzalutamide is associated with an average of 59.94 (95% CI 35.60-84.28) more days of survival than abiraterone. The increase in overall survival duration for the 2 drugs varied across patient demographics, test results, and comorbidities. Two data-driven subgroups of patients were identified by ranking them on their augmented inverse-propensity weighted (AIPW) scores. The average AIPW scores for the 2 subgroups were 19.36 (95% CI -16.93 to 55.65) and 100.68 (95% CI 62.46-138.89). Based on visualization and t test, the AIPW score for low and high subgroups was significant (P=.003), thereby supporting heterogeneity. The analysis resulted in a set of prescription rules for the 2 ARPIs based on a few covariates available to the physicians at the time of prescription.

CONCLUSIONS: This study of 2886 veterans showed evidence of heterogeneity and that survival days may be improved for certain patients with mCRPC based on the medication prescribed. Findings suggest that prescription rules based on the patient characteristics, laboratory test results, and comorbidities available to the physician at the time of prescription could improve survival by providing personalized treatment decisions.

PMID:39561358 | DOI:10.2196/59480

JMIR Form Res. 2024 Nov 19;8:e64844. doi: 10.2196/64844.

ABSTRACT

BACKGROUND: Generative artificial intelligence (AI), particularly in the form of large language models, has rapidly developed. The LLaMA series are popular and recently updated from LLaMA2 to LLaMA3. However, the impacts of the update on diagnostic performance have not been well documented.

OBJECTIVE: We conducted a comparative evaluation of the diagnostic performance in differential diagnosis lists generated by LLaMA3 and LLaMA2 for case reports.

METHODS: We analyzed case reports published in the American Journal of Case Reports from 2022 to 2023. After excluding nondiagnostic and pediatric cases, we input the remaining cases into LLaMA3 and LLaMA2 using the same prompt and the same adjustable parameters. Diagnostic performance was defined by whether the differential diagnosis lists included the final diagnosis. Multiple physicians independently evaluated whether the final diagnosis was included in the top 10 differentials generated by LLaMA3 and LLaMA2.

RESULTS: In our comparative evaluation of the diagnostic performance between LLaMA3 and LLaMA2, we analyzed differential diagnosis lists for 392 case reports. The final diagnosis was included in the top 10 differentials generated by LLaMA3 in 79.6% (312/392) of the cases, compared to 49.7% (195/392) for LLaMA2, indicating a statistically significant improvement (P<.001). Additionally, LLaMA3 showed higher performance in including the final diagnosis in the top 5 differentials, observed in 63% (247/392) of cases, compared to LLaMA2’s 38% (149/392, P<.001). Furthermore, the top diagnosis was accurately identified by LLaMA3 in 33.9% (133/392) of cases, significantly higher than the 22.7% (89/392) achieved by LLaMA2 (P<.001). The analysis across various medical specialties revealed variations in diagnostic performance with LLaMA3 consistently outperforming LLaMA2.

CONCLUSIONS: The results reveal that the LLaMA3 model significantly outperforms LLaMA2 per diagnostic performance, with a higher percentage of case reports having the final diagnosis listed within the top 10, top 5, and as the top diagnosis. Overall diagnostic performance improved almost 1.5 times from LLaMA2 to LLaMA3. These findings support the rapid development and continuous refinement of generative AI systems to enhance diagnostic processes in medicine. However, these findings should be carefully interpreted for clinical application, as generative AI, including the LLaMA series, has not been approved for medical applications such as AI-enhanced diagnostics.

PMID:39561356 | DOI:10.2196/64844

J Med Internet Res. 2024 Nov 19;26:e56166. doi: 10.2196/56166.

ABSTRACT

BACKGROUND: Lack of adherence to prescribed medication is common among patients with depression in China, posing serious challenges to the health care system. Online health communities have been found to be effective in enhancing patient compliance. However, empirical evidence supporting this effect in the context of depression treatment is absent, and the influence of online health community content on patients’ attitudes toward medication adherence is also underexplored.

OBJECTIVE: This study aims to explore whether online depression communities (ODCs) can help ameliorate the problem of poor medication taking among patients with depression. Drawing on the stimulus-organism-response and feelings-as-information theories, we established a research model to examine the influence of useful institution-generated content (IGC) and positive user-generated content (UGC) on attitudes toward medication adherence when combined with the mediating role of perceived social support, perceived value of antidepressants, and the moderating role of hopelessness.

METHODS: A cross-sectional questionnaire survey method was used in this research. Participants were recruited from various Chinese ODCs, generating data for a main study and 2 robustness checks. Hierarchical multiple regression analyses and bootstrapping analyses were adopted as the primary methods to test the hypotheses.

RESULTS: We received 1515 valid responses in total, contributing to 5 different datasets: model IGC (n=353, 23.3%), model UGC (n=358, 23.63%), model IGC+UGC (n=270, 17.82%), model IGC-B (n=266, 17.56%), and model UGC-B (n=268, 17.69%). Models IGC and UGC were used for the main study. Model IGC+UGC was used for robustness check A. Models IGC-B and UGC-B were used for robustness check B. Useful IGC and positive UGC were proven to have positive impact on the attitudes of patients with depression toward medication adherence through the mediations of perceived social support and perceived value of antidepressants. The findings corroborated the role of hopelessness in weakening or even negating the positive effects of ODC content on the attitudes of patients with depression toward medication adherence.

CONCLUSIONS: This study provides the first empirical evidence demonstrating the relationship between ODC content and attitudes toward medication adherence, through which we offer a novel solution to the problem of poor medication adherence among patients with depression in China. Our findings also provide suggestions about how to optimize this new approach-health care practitioners should generate online content that precisely matches the informational needs of patients with depression, and ODC service providers should endeavor to regulate the community atmosphere. Nonetheless, we warn that ODC interventions cannot be used as the only approach to addressing the problem of poor medication taking among patients with severe depressive symptoms.

PMID:39561355 | DOI:10.2196/56166

J Clin Oncol. 2024 Nov 19:JCO2400304. doi: 10.1200/JCO.24.00304. Online ahead of print.

ABSTRACT

PURPOSE: Persistent smoking after cancer diagnosis causes adverse outcomes while smoking cessation can improve survival. Thus, integration of smoking assessment and cessation assistance into routine cancer care is critical. Aiming for incremental practice change that could be sustained and built upon through future quality improvement (QI) projects, the American College of Surgeons initiated Just ASK in 2022 to increase implementation of smoking assessment among its accredited Cancer Programs. This manuscript describes outcomes from Just ASK.

METHODS: Seven hundred sixty-two programs enrolled in this cohort study, followed Plan Do Study Act methodology, and used local QI teams to facilitate practice change. The primary outcome was the ask rate (ie, patients asked/patients seen). Programs completed three surveys across the 1-year study (89.8% retention), answering questions about their program plus organizational readiness, implementation barriers, implementation strategies, and clinical practices related to assessing smoking among patients newly diagnosed with cancer. Data analysis involved descriptive statistics and analysis of change over time (eg, McNemar chi-squares).

RESULTS: Programs (53.1% community-based) tended to report moderate organizational readiness, multiple implementation barriers, and adoption of 4.63 ± 1.49 of eight possible implementation strategies (eg, training staff/providers). Programs reported frequency of assessing smoking status, documenting it in the electronic health record, advising patients who smoke to quit, and documenting advice and treatment increased over time (all P < .001). The ask rate increased from baseline to mid to final survey (P < .01; 87.79% v 88.65% v 91.92%, respectively).

CONCLUSION: Just ASK is the latest, and by far the largest, endeavor to improve assessment of cancer patients’ smoking status. Participants reported significant advances within a short time span and study results underscore the potential for national accreditation organizations to transform oncology practice.

PMID:39561316 | DOI:10.1200/JCO.24.00304