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Contraception and Reproductive Medicine Jun 2024Even though family planning 2020 has made remarkable progress about solving the issue of unmet need for family planning, 70% of women in a developing countries who do...
Modern contraceptive utilization and associated factors among postpartum women in Kena Woreda, Konso Zone, South Ethiopian Regional State, Ethiopia, 2023: mixed type community based cross-sectional study design.
BACKGROUND
Even though family planning 2020 has made remarkable progress about solving the issue of unmet need for family planning, 70% of women in a developing countries who do not want to conceive are not using it. There are limited research that provided detail information regarding barriers of modern contraceptive utilization during postpartum period in the study area. In addition, previous study also recommended that to conduct using mixed quantitative and qualitative design for further investigations to answer these "why" questions and narrow these gaps.
OBJECTIVE
This study aimed to assess postpartum modern contraceptive utilization and associated factors among postpartum women in Kena woreda, Konso zone, South Ethiopian Regional State, Ethiopia, 2023.
METHODS
A mixed type community based cross-sectional study design was conducted among 605 women in Kena woreda, from September 1-30/2023 out of 628 sampled mothers. Multistage sampling technique was used to select study participant and data was collected using semi-structured pretested questionnaire and entered in to Epi data version 3.1 and then exported to STATA version 14 for analysis for quantitative. The association between variables was analyzed using bivariate and multivariable binary logistic regression and level of significant determined with adjusted odd ratio at 95% CI and P-value less than < 0.05. After translation and transcription, manual thematic analysis was applied to the qualitative data.
RESULTS
The prevalence of modern contraceptive use among women during postpartum period in Kena woreda was found to be 39.01% [95% CI: 35.18-42.96%]. Menses resumed (AOR = 1.63; 95% CI: 1.02, 2.59), linked to the family planning unit during their child`s immunization (AOR = 2.17; 95% CI: 1.45, 3.25), family planning counselling during antenatal care visit (AOR = 1.63; 95% CI: 1.10, 2.42) and good knowledge towards modern contraceptive (AOR = 1.53; 95% CI: 1.03, 2.26) were factors associated with postpartum contraceptive utilization. Partner oppose, myths and misconception, need for excess family size, religious prohibition, fear of side effect,menses not resumed, lack of counselling and privacy room, and lack of transportation to health facility were barriers to modern postpartum contraceptive utilization. CONCLUSIONS AND RECOMMENDATIONS: The utilization of postpartum contraceptives was found to be lower than the target set by the 2020/21 national reproductive health strategy plan, which aimed to increase contraceptive method usage to 50%. Menses resumed, family planning counselling during antenatal care visit, linked to the family planning unit during child immunization and good knowledge were factors associated to modern postpartum contraceptive utilization. Strengthening service integration and family planning counseling during antenatal care visits and encourage mothers to start using modern family planning methods before menses resume are important. Overcoming barriers including partner opposition, myths, religious beliefs, fear of side effects, lack of counseling at health facilities, and transportation challenges is essential.
PubMed: 38915118
DOI: 10.1186/s40834-024-00292-w -
BMC Medical Informatics and Decision... Jun 2024Many state-of-the-art results in natural language processing (NLP) rely on large pre-trained language models (PLMs). These models consist of large amounts of parameters...
Many state-of-the-art results in natural language processing (NLP) rely on large pre-trained language models (PLMs). These models consist of large amounts of parameters that are tuned using vast amounts of training data. These factors cause the models to memorize parts of their training data, making them vulnerable to various privacy attacks. This is cause for concern, especially when these models are applied in the clinical domain, where data are very sensitive. Training data pseudonymization is a privacy-preserving technique that aims to mitigate these problems. This technique automatically identifies and replaces sensitive entities with realistic but non-sensitive surrogates. Pseudonymization has yielded promising results in previous studies. However, no previous study has applied pseudonymization to both the pre-training data of PLMs and the fine-tuning data used to solve clinical NLP tasks. This study evaluates the effects on the predictive performance of end-to-end pseudonymization of Swedish clinical BERT models fine-tuned for five clinical NLP tasks. A large number of statistical tests are performed, revealing minimal harm to performance when using pseudonymized fine-tuning data. The results also find no deterioration from end-to-end pseudonymization of pre-training and fine-tuning data. These results demonstrate that pseudonymizing training data to reduce privacy risks can be done without harming data utility for training PLMs.
Topics: Natural Language Processing; Humans; Privacy; Sweden; Anonyms and Pseudonyms; Computer Security; Confidentiality; Electronic Health Records
PubMed: 38915012
DOI: 10.1186/s12911-024-02546-8 -
JMIR Human Factors Jun 2024Physicians and patient-facing caregivers have increasingly used mobile health (mHealth) technologies in the past several years, accelerating during the COVID-19...
BACKGROUND
Physicians and patient-facing caregivers have increasingly used mobile health (mHealth) technologies in the past several years, accelerating during the COVID-19 pandemic. However, barriers and feedback surrounding adoption remain relatively understudied and varied across health systems, particularly in rural areas.
OBJECTIVE
This study aims to identify provider adoption, attitudes, and barriers toward mHealth in a large, multisite, rural US health care system. We investigated (1) mHealth apps that providers use for their own benefit and (2) mHealth apps that a provider uses in conjunction with a patient.
METHODS
We surveyed all patient-seeing providers within the Marshfield Clinic Health System with a brief, 16-item, web-based survey assessing attitudes toward mHealth, adoption of these technologies, and perceived barriers faced by providers, their peers, and the institution. Survey results were summarized via descriptive statistics, with log-binomial regression and accompanying pairwise analyses, using Kruskal-Wallis and Jonckheere-Terpstra tests for significance, respectively. Respondents were grouped by reported clinical role and specialty.
RESULTS
We received a 38% (n/N=916/2410) response rate, with 60.7% (n=556) of those sufficiently complete for analyses. Roughly 54.1% (n=301) of respondents reported mHealth use, primarily around decision-making and supplemental information, with use differing based on provider role and years of experience. Self-reported barriers to using mHealth included a lack of knowledge and time to study mHealth technologies. Providers also reported concerns about patients' internet access and the complexity of mHealth apps to adequately use mHealth technologies. Providers believed the health system's barriers were largely privacy, confidentiality, and legal review concerns.
CONCLUSIONS
These findings echo similar studies in other health systems, surrounding providers' lack of time and concerns over privacy and confidentiality of patient data. Providers emphasized concerns over the complexity of these technologies for their patients and concerns over patients' internet access to fully use mHealth in their delivery of care.
Topics: Humans; Telemedicine; Surveys and Questionnaires; COVID-19; Rural Health Services; Male; Attitude of Health Personnel; Female; Adult; Middle Aged; Mobile Applications; Internet
PubMed: 38913992
DOI: 10.2196/55443 -
Journal of Medical Internet Research Jun 2024Photographs from medical case reports published in academic journals have previously been found in online image search results. This means that patient photographs... (Randomized Controlled Trial)
Randomized Controlled Trial
BACKGROUND
Photographs from medical case reports published in academic journals have previously been found in online image search results. This means that patient photographs circulate beyond the original journal website and can be freely accessed online. While this raises ethical and legal concerns, no systematic study has documented how often this occurs.
OBJECTIVE
The aim of this cross-sectional study was to provide systematic evidence that patient photographs from case reports published in medical journals appear in Google Images search results. Research questions included the following: (1) what percentage of patient medical photographs published in case reports were found in Google Images search results? (2) what was the relationship between open access publication status and image availability? and (3) did the odds of finding patient photographs on third-party websites differ between searches conducted in 2020 and 2022?
METHODS
The main outcome measure assessed whether at least 1 photograph from each case report was found on Google Images when using a structured search. Secondary outcome variables included the image source and the availability of images on third-party websites over time. The characteristics of medical images were described using summary statistics. The association between the source of full-text availability and image availability on Google Images was tested using logistic regressions. Finally, we examined the trend of finding patient photographs using generalized estimating equations.
RESULTS
From a random sample of 585 case reports indexed in PubMed, 186 contained patient photographs, for a total of 598 distinct images. For 142 (76.3%) out of 186 case reports, at least 1 photograph was found in Google Images search results. A total of 18.3% (110/598) of photographs included eye, face, or full body, including 10.9% (65/598) that could potentially identify the patient. The odds of finding an image from the case report online were higher if the full-text paper was available on ResearchGate (odds ratio [OR] 9.16, 95% CI 2.71-31.02), PubMed Central (OR 7.90, 95% CI 2.33-26.77), or Google Scholar (OR 6.07, 95% CI 2.77-13.29) than if the full-text was available solely through an open access journal (OR 5.33, 95% CI 2.31-12.28). However, all factors contributed to an increased risk of locating patient images online. Compared with the search in 2020, patient photographs were less likely to be found on third-party websites based on the 2022 search results (OR 0.61, 95% Cl 0.43-0.87).
CONCLUSIONS
A high proportion of medical photographs from case reports was found on Google Images, raising ethical concerns with policy and practice implications. Journal publishers and corporations such as Google are best positioned to develop an effective remedy. Until then, it is crucial that patients are adequately informed about the potential risks and benefits of providing consent for clinicians to publish their images in medical journals.
Topics: Cross-Sectional Studies; Humans; Photography; Internet
PubMed: 38913416
DOI: 10.2196/55352 -
Frontiers in Medicine 2024The rapid spread of COVID-19 pandemic across the world has not only disturbed the global economy but also raised the demand for accurate disease detection models....
The rapid spread of COVID-19 pandemic across the world has not only disturbed the global economy but also raised the demand for accurate disease detection models. Although many studies have proposed effective solutions for the early detection and prediction of COVID-19 with Machine Learning (ML) and Deep learning (DL) based techniques, but these models remain vulnerable to data privacy and security breaches. To overcome the challenges of existing systems, we introduced Adaptive Differential Privacy-based Federated Learning (DPFL) model for predicting COVID-19 disease from chest X-ray images which introduces an innovative adaptive mechanism that dynamically adjusts privacy levels based on real-time data sensitivity analysis, improving the practical applicability of Federated Learning (FL) in diverse healthcare environments. We compared and analyzed the performance of this distributed learning model with a traditional centralized model. Moreover, we enhance the model by integrating a FL approach with an early stopping mechanism to achieve efficient COVID-19 prediction with minimal communication overhead. To ensure privacy without compromising model utility and accuracy, we evaluated the proposed model under various noise scales. Finally, we discussed strategies for increasing the model's accuracy while maintaining robustness as well as privacy.
PubMed: 38912338
DOI: 10.3389/fmed.2024.1409314 -
Frontiers in Public Health 2024Digital health disparities continue to affect marginalized populations, especially older adults, individuals with low-income, and racial/ethnic minorities, intensifying...
Digital health disparities continue to affect marginalized populations, especially older adults, individuals with low-income, and racial/ethnic minorities, intensifying the challenges these populations face in accessing healthcare. Bridging this digital divide is essential, as digital access and literacy are social determinants of health that can impact digital health use and access to care. This article discusses the potential of leveraging community Wi-Fi and spaces to improve digital access and digital health use, as well as the challenges and opportunities associated with this strategy. The existing limited evidence has shown the possibility of using community Wi-Fi and spaces, such as public libraries, to facilitate telehealth services. However, privacy and security issues from using public Wi-Fi and spaces remain a concern for librarians and healthcare professionals. To advance digital equity, efforts from multilevel stakeholders to improve users' digital access and literacy and offer tailored technology support in the community are required. Ultimately, leveraging community Wi-Fi and spaces offers a promising avenue to expand digital health accessibility and use, highlighting the critical role of collaborative efforts in overcoming digital health disparities.
Topics: Humans; Telemedicine; Health Services Accessibility; Healthcare Disparities; Digital Divide; Digital Health
PubMed: 38912273
DOI: 10.3389/fpubh.2024.1418627 -
Frontiers in Public Health 2024Digital health literacy (DHL) is a key competency for individuals' daily decisions toward their health behavior and wellbeing. While there is much focus on health...
INTRODUCTION
Digital health literacy (DHL) is a key competency for individuals' daily decisions toward their health behavior and wellbeing. While there is much focus on health literacy (HL) among the general population, teachers have been rarely addressed. Given the shortages in the teaching workforce in Europe and the impact of demanding working conditions on their health, it is important to address DHL in teachers. This paper examines the DHL of primary and secondary teachers and its associations with sociodemographic and school-related factors.
METHODS
An online cross-sectional study was conducted with 1,600 German primary and secondary school teachers between October and December 2022. To assess DHL, the Digital Health Literacy Instrument (DHLI) including seven subscales was used. Statistical analyses were conducted on item and subscale level and an overall DHL score was calculated. Next to descriptive analyses, bivariate and regression analyses were conducted to explore potential associations with sociodemographic and school-related factors.
RESULTS
The frequency of difficulty in using digital health information varied across DHL dimensions and was greatest for (70.9%) and (40.0%). In multivariate analysis, females more often reported a sufficient ability of (OR = 1.61, CI = 1.05-2.48), while males more often reported a sufficient ability to (OR = 0.45, CI = 0.27-0.75). Teachers with leadership positions more often reported a sufficient ability in (OR = 1.78, CI = 1.07-2.98). Regarding the ability to of online health-related information, no associations with a predictor variable were found.
DISCUSSION
The results suggest that it is important to examine the individual dimensions of DHL and their distinct associations with sociodemographic and school-level factors, rather than just to rely on the overall level of DHL. The differential patterns identified in this study suggest a greater intervention need for teachers from higher age groups, primary and secondary general schools, and those without leadership roles. However, based on the limited predictive power of the variables included, further individual and school-level factors and their potential association with DHL should be investigated in the future. The promotion of DHL should be integrated into both teacher education and in-service training.
Topics: Humans; School Teachers; Male; Female; Health Literacy; Cross-Sectional Studies; Adult; Middle Aged; Germany; Surveys and Questionnaires; Schools
PubMed: 38912263
DOI: 10.3389/fpubh.2024.1334263 -
Risk Management and Healthcare Policy 2024Growing cyberattacks have made it more challenging to maintain healthcare information system (HIS) security in medical institutes, especially for hospitals that provide...
BACKGROUND
Growing cyberattacks have made it more challenging to maintain healthcare information system (HIS) security in medical institutes, especially for hospitals that provide patient portals to access patient information, such as electronic health record (EHR).
OBJECTIVE
This work aims to evaluate the patient portal security risk of Taiwan's EEC (EMR Exchange Center) member hospitals and analyze the association between patient portal security, hospital location, contract category and hospital type.
METHODS
We first collected the basic information of EEC member hospitals, including hospital location, contract category and hospital type. Then, the patient portal security of individual hospitals was evaluated by a well-known vulnerability scanner, UPGUARD, to assess website if vulnerable to high-level attacks such as denial of service attacks or ransomware attacks. Based on their UPSCAN scores, hospitals were classified into four security ratings: absolute low risk, low to medium risk, medium to high risk and high risk. Finally, the associations between security rating, contract category and hospital type were analyzed using chi-square tests.
RESULTS
We surveyed a total of 373 EEC member hospitals. Among them, 20 hospital patient portals were rated as "absolute low risk", 104 hospital patient portals as "low to medium risk", 99 hospital patient portals as "medium to high risk" and 150 hospital patient portals as "high risk". Further investigation revealed that the patient portal security of EEC member hospitals was significantly associated with the contract category and hospital type (<0.001).
CONCLUSION
The analysis results showed that large-scale hospitals generally had higher security levels, implying that the security of low-tier and small-scale hospitals may warrant reinforcement or strengthening. We suggest that hospitals should pay attention to the security risk assessment of their patient portals to preserve patient information privacy.
PubMed: 38910900
DOI: 10.2147/RMHP.S463408 -
Proceedings (Baylor University. Medical... 2024Colorectal cancer (CRC) presents significant mortality risks, underscoring the urgency of timely diagnosis and intervention. Advanced stages of CRC are managed through...
Colorectal cancer (CRC) presents significant mortality risks, underscoring the urgency of timely diagnosis and intervention. Advanced stages of CRC are managed through chemotherapy, targeted therapy, immunotherapy, radiotherapy, and surgery. Immunotherapy, while effective in bolstering the immune system against cancer cells, often carries toxic side effects, including colitis. This study aimed to evaluate the incidence of colitis in patients with metastatic CRC (mCRC) undergoing various immunotherapy treatments. Through a systematic search of Google Scholar and PubMed databases from inception until November 2023, nine relevant studies were identified. Subgroup analyses revealed a higher incidence of colitis, particularly in patients treated with anti-cytotoxic T-lymphocyte-associated molecule-4 (anti-CTLA-4) and combination therapies compared to monotherapy with programmed cell death receptor-1 (PD-1) or programmed cell death ligand receptor-1 (PDL-1) inhibitors. Notably, naive-treated metastatic CRC patients exhibited elevated colitis incidences compared to those previously treated. In conclusion, anti-CTLA-4 and combination therapies, such as nivolumab plus ipilimumab, were associated with increased colitis occurrences in metastatic CRC patients, highlighting the need for vigilant monitoring and management strategies, especially in immunotherapy-naive individuals.
PubMed: 38910824
DOI: 10.1080/08998280.2024.2342723 -
BMJ Open Jun 2024Sub-Saharan Africa (SSA) regions have the highest burden of cervical cancer (CC), accounting for nearly a quarter of global mortality. Many women in SSA are reluctant to...
INTRODUCTION
Sub-Saharan Africa (SSA) regions have the highest burden of cervical cancer (CC), accounting for nearly a quarter of global mortality. Many women in SSA are reluctant to access CC screening because they are uncomfortable exposing their private parts to healthcare providers. The perception of women who have experienced self-sampling in SSA is yet to be reviewed. This scoping review will explore the literature on the perception and attitude of women towards methods of collecting cervicovaginal samples for human papillomavirus (HPV) testing in SSA.
METHODS AND ANALYSIS
An extensive search using the Arksey and O'Malley framework will be conducted. The search criteria will be limited to original research conducted in community or clinical settings in SSA within the last 10 years. Four databases, namely, PUBMED, Cochrane, African Journals Online and Google Scholar, will be searched. Two independent persons (UIAB and DOO) will screen the titles and abstracts and later full texts using population, intervention, comparison and outcome criteria. IOMB will serve as a tiebreaker whenever there is no agreement on the choice of eligibility criteria. The screening process will be presented using Preferred Reporting Items for Systematic Reviews and Meta-Analyses for the scoping review flow format. The descriptive analysis of eligible studies for scoping reviews will be summarised. We will describe themes of attitude and perception covering pain, embarrassment, privacy and comfortability, willingness to self-sample, anxiety and confidence.
ETHICS AND DISSEMINATION
This is a scoping review protocol and does not require ethical approval. Findings from this review will be disseminated through peer-reviewed publications, the production of policy briefs, and presentations at local and international conferences.
Topics: Humans; Female; Africa South of the Sahara; Papillomavirus Infections; Uterine Cervical Neoplasms; Specimen Handling; Research Design; Early Detection of Cancer; Vaginal Smears; Papillomaviridae; Review Literature as Topic; Mass Screening; Human Papillomavirus Viruses
PubMed: 38910004
DOI: 10.1136/bmjopen-2024-085408