Hospitals’ electronic access to information needed to treat COVID-19
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PROVIDER: S-EPMC10684259 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature
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| S-EPMC7503114 | biostudies-literature
Project description:The COVID-19 pandemic has stimulated important changes in online information access as digital engagement became necessary to meet the demand for health, economic, and educational resources. Our analysis of 55 billion everyday web search interactions during the pandemic across 25,150 US ZIP codes reveals that the extent to which different communities of internet users enlist digital resources varies based on socioeconomic and environmental factors. For example, we find that ZIP codes with lower income intensified their access to health information to a smaller extent than ZIP codes with higher income. We show that ZIP codes with higher proportions of Black or Hispanic residents intensified their access to unemployment resources to a greater extent, while revealing patterns of unemployment site visits unseen by the claims data. Such differences frame important questions on the relationship between differential information search behaviors and the downstream real-world implications on more and less advantaged populations.
| S-EPMC9675823 | biostudies-literature
Project description:The Coronavirus (COVID-19) pandemic has led to a rapidly growing 'infodemic' of health information online. This has motivated the need for accurate semantic search and retrieval of reliable COVID-19 information across millions of documents, in multiple languages. To address this challenge, this paper proposes a novel high precision and high recall neural Multistage BiCross encoder approach. It is a sequential three-stage ranking pipeline which uses the Okapi BM25 retrieval algorithm and transformer-based bi-encoder and cross-encoder to effectively rank the documents with respect to the given query. We present experimental results from our participation in the Multilingual Information Access (MLIA) shared task on COVID-19 multilingual semantic search. The independently evaluated MLIA results validate our approach and demonstrate that it outperforms other state-of-the-art approaches according to nearly all evaluation metrics in cases of both monolingual and bilingual runs.
| S-EPMC8423231 | biostudies-literature
Project description:ObjectiveThe study examined resources needed by Infection Preventionists (IP) to address infection prevention and control (IPC) program gaps.DesignA 49-question survey.SettingLicensed Critical Access Hospitals (CAHs) in Federal Emergency Management Area (FEMA) Region VII.ParticipantsIP at licensed CAHs.MethodsThe survey conducted between December 2020 and January 2021 consisted of questions focusing on four categories including IPC program infrastructure, competency-based training, audit and feedback, and identification of high-risk pathogens/serious communicable diseases (HRP/SCD). An IPC score was calculated for each facility by totaling "Yes" responses (which indicate best practices) to 49 main survey questions. Follow-up questions explored the resources needed by the CAHs to implement or further strengthen best practices and mitigate IPC practice gaps. Welch t-test was used to study differences in IPC practice scores between states.Results50 of 259 (19.3%) CAHs participated in the survey with 37 (14.3%) answering all 49 questions. CAHs responding to all questions had a median IPC score of 35. There was no significant difference between IPC practice scores of CAHs in NE and IA. The top three IPC gaps were absence of drug diversion program (77%), lack of audits and feedback for insertion and maintenance of central venous catheters (76%), and missing laboratory risk assessments to identify tests that can be offered safely for patients under investigation for HRP/SCD (76%). Standardized audit tools, educational resources, and staff training materials were cited as much-needed resources.ConclusionIPC practice gaps exist in CAHs. Various resources are needed for gap mitigation.
| S-EPMC10945943 | biostudies-literature
Project description:ObjectiveHospitals that routinely share patients are those that most critically need to engage in electronic health information exchange (HIE) with each other to ensure clinical information is available to inform treatment decisions. We surveyed pairs of hospitals in a nationwide sample to describe whether and how hospitals within each hospital referral region (HRR) that have the highest shared patient (HSP) volume engaged in HIE with each other.MethodsWe used Medicare's Physician Shared Patient Patterns data to identify hospital pairs with the highest shared patient volume in each hospital referral region. We surveyed a purposeful sample of pairs and then calculated descriptive statistics to compare: (1) HIE with the HSP hospital vs HIE with other hospitals, and (2) HIE with the HSP hospital versus federal measures of HIE engagement that are not partner-specific.ResultsWe received responses from 25.5% of contacted hospitals and 33.5% of contacted pairs, allowing us to examine information sharing among 68 hospitals in 63 pairs. 23% of respondents reported worse information sharing with their HSP hospital than with other hospitals while 17% indicated better sharing with their HSP hospital and 48% indicated no difference. Our HSP-specific measures of HIE differed from federal measures of HIE engagement: while 97% of respondents are classified as routinely sending information electronically in federal measures, in our data only 63% did so with their HSP hospital.ConclusionsDespite increased HIE engagement, our descriptive results indicate that HIE is not developing in a way that facilitates information exchange where it might benefit the most patients. New policy efforts, particularly those emerging from the 21st Century Cures Act, need to explicitly pursue strategies that ensure that HSP providers engage in exchange with each other.
| S-EPMC7646909 | biostudies-literature
Project description:The Rohingya and Bangladeshi host communities live at a heightened risk of COVID-19 impact due to their pre-existing vulnerabilities, religious beliefs, and strict socio-cultural and gender norms that render primarily women and girls vulnerable. However, the extent of this vulnerability varies within and across population groups in the host and Rohingya communities. The intersectionality lens helps identify, recognize, and understand these factors that create inequities within populations. This study explored the factors that influenced the women and girls' access to information during the COVID-19 pandemic through an intersectional lens. This paper presents partial findings from the exploratory qualitative part of mixed-method research conducted in ten Rohingya camps and four wards of the adjacent host communities in Cox's Bazar, Bangladesh. Data were extracted from 24 in-depth interviews (12 in each community) conducted from November 2020 to March 2021 with diverse participants, including adolescent girls, younger women, adult women, pregnant and lactating mothers, persons with disabilities, older adults, and single female-household heads. All participants provided verbal informed consent before the interviews. In the case of the adolescents, assent was taken from the participants, and verbal informed consent was taken from their parents/guardians. The ethical clearance of this study was sought from the institutional review board of BRAC James P Grant School of Public Health, BRAC University. We find that the women and girls living in Rohingya communities exhibit a more profound structural interplay of factors within their socio-ecological ecosystem depending on their age, power, and position in the society, physical (dis)abilities, and pre-existing vulnerabilities stemming from their exodus, making them more vulnerable to COVID-19 impact by hindering their access to information. Unlike Rohingya, the host women and girls explain the impact of the COVID-19 pandemic on their access to information through the lens of intergenerational poverty and continuous strain on existing resources, thereby highlighting shrinking opportunities due to the influx, COVID-19 infodemic and misinformation, access to digital devices amongst the adolescents, and restricted mobility mainly due to transport, school closures, and distance-related issues. Moreover, the socio-cultural beliefs and the gender norms imposed on women and adolescent girls played an essential role in accessing information regarding the COVID-19 pandemic and consequently influenced their perception of and response to the disease and its safety protocols. Socio-cultural gender norms led to mobility restrictions, which compounded by lockdowns influenced their access to information resulting in dependency on secondary sources, usually from male members of their families, which can easily mislead/provide mis/partial information. The younger age groups had more access to primary sources of information and a broader support network. In comparison, the older age groups were more dependent on secondary sources, and their social networks were limited to their family members due to their movement difficulty because of age/aging-related physical conditions. This study explored and analyzed the intersectional factors that influenced the women and girls' access to information during the COVID-19 pandemic from two contexts with varying degrees of pre-existing vulnerability and its extent. These include gender, age, state of vulnerability, power and privilege, socio-economic status, and physical (dis)ability. It is imperative that services geared towards the most vulnerable are contextualized and consider the intersectional factors that determine the communities' access to information.
| S-EPMC10022011 | biostudies-literature
Project description:Ongoing symptoms might follow acute COVID-19. Using electronic health information, we compared pre‒ and post‒COVID-19 diagnostic codes to identify symptoms that had higher encounter incidence in the post‒COVID-19 period as sequelae. This method can be used for hypothesis generation and ongoing monitoring of sequelae of COVID-19 and future emerging diseases.
| S-EPMC9881771 | biostudies-literature
Project description:BackgroundWe propose a new measure of treatment effect based on the expected reduction in the number of patients to treat (RNT) which is defined as the difference of the reciprocals of clinical measures of interest between two arms. Compared with the conventional number needed to treat (NNT), RNT shows superiority with both binary and time-to-event endpoints in randomized controlled trials (RCTs).MethodsFive real RCTs, two with binary endpoints and three with survival endpoints, are used to illustrate the concept of RNT and compare the performances between RNT and NNT. For survival endpoints, we propose two versions of RNT: one is based on the survival rate and the other is based on the restricted mean survival time (RMST). Hypothetical scenarios are also constructed to explore the advantages and disadvantages of RNT and NNT.ResultsBecause there is no baseline for computation of NNT, it fails to differentiate treatment effect in the absolute scale. In contrast, RNT conveys more information than NNT due to its reversed order of differencing and inverting. For survival endpoints, two versions of RNT calculated as the difference of the reciprocals of survival rates and RMSTs are complementary to each other. The RMST-based RNT can capture the entire follow-up profile and thus is clinically more intuitive and meaningful, as it inherits the time-to-event characteristics for survival endpoints instead of using truncated binary endpoints at a specific time point.ConclusionsThe RNT can serve as an alternative measure for quantifying treatment effect in RCTs, which complements NNT to help patients and clinicians better understand the magnitude of treatment benefit.
| S-EPMC7945324 | biostudies-literature
Project description:Although open-access data are increasingly common and useful to epidemiological research, the curation of such datasets is resource-intensive and time-consuming. Despite the existence of a major source of COVID-19 data, the regularly disclosed case reports were often written in natural language with an unstructured format. Here, we propose a computational framework that can automatically extract epidemiological information from open-access COVID-19 case reports. We develop this framework by coupling a language model developed using deep neural networks with training samples compiled using an optimized data annotation strategy. When applied to the COVID-19 case reports collected from mainland China, our framework outperforms all other state-of-the-art deep learning models. The information extracted from our approach is highly consistent with that obtained from the gold-standard manual coding, with a matching rate of 80%. To disseminate our algorithm, we provide an open-access online platform that is able to estimate key epidemiological statistics in real time, with much less effort for data curation.
| S-EPMC9441477 | biostudies-literature
Project description:ImportancePatient access to electronic health information (EHI) available via online medical records and through patient portals has been shown to help individuals make informed health decisions, which are associated with better health outcomes.ObjectiveTo assess progress in patient engagement with EHI and to identify racial or ethnic disparities in access to patient portals.Design, setting, and participantsThis was a repeated cross-sectional study using data from the US Health Information National Trends Survey (HINTS), a nationally representative survey of US adults that tracks individuals' access and use of their health information. Six cycles of HINTS were included (2014, 2017-2020, 2022); data for the disparities analysis came from the 2022 HINTS. Data analyses were performed in April 2023.Main outcomes and measuresPatient reports of (1) being offered portal access by a health care provider (HCP); (2) being encouraged by the HCP to use the portal; (3) accessing their portal; and (4) using the portal for various purposes. Additional key measures included methods used to access portals and self-reported ease of understanding information contained in the online medical records or portals.ResultsThe total study population included 22 266 individuals (mean [SE] age, 49.9 [0.15] years) of whom 13 348 (54%) were female; 909 (5%) self-identified as Asian, 3523 (12%) as Black, 3178 (14%) as Hispanic, 13 555 (66%) as White, and 785 (3%) as another or more than 1 race. Nationally, patient portal access increased each year from 2014 through 2022, with a 46% increase observed between 2020 (n = 3319) and 2022 (n = 5437). However, in 2022, Black and Hispanic individuals reported being offered access to a portal by their HCP at significantly lower rates compared with White individuals (73% vs 81%; χ21 = 22.24; P < .001; and 62% vs 81%; χ21 = 135.57; P < .001, respectively) as well as accessing a patient portal at lower rates (60% vs 70%; χ21 = 23.80; P < .001; and 57% vs 70%; χ21 = 49.02; P < .001, respectively).Conclusions and relevanceThe findings of this repeated cross-sectional study of US adult respondents to the HINTS suggest that access to and engagement with patient portals increased significantly from 2014 through 2022, but racial and ethnic disparities in patient access persisted in 2022. However, there were no significant differences in use or understanding of information available in the online medical records among those who accessed them, which suggests that efforts to promote equitable opportunities to access EHI would likely be associated with increased patient access.
| S-EPMC10638642 | biostudies-literature