scholarly journals ADHD as a Risk Factor for Infection With Covid-19

2020 ◽  
pp. 108705472094327 ◽  
Author(s):  
Eugene Merzon ◽  
Iris Manor ◽  
Ann Rotem ◽  
Tzipporah Schneider ◽  
Shlomo Vinker ◽  
...  

Background: ADHD limits the ability to comply with Covid-19 prevention recommendations. We hypothesized that ADHD constitutes a risk factor for Covid-19 infection and that pharmacotherapy may lower that risk. Methods: Study population included all subjects ( N = 14,022) registered with Leumit Health Services between February 1st and April 30, 2020, who underwent at least one Covid-19 test. Data were collected from the electronic health records. Purchasing consecutively at least three ADHD-medication-prescriptions during past year was considered drug-treatment. Results: A total of 1,416 (10.1%) subjects (aged 2 months–103 years) were Covid-19-positive.They were significantly younger, and had higher rates of ADHD (adjOR 1.58 (95% CI 1.27–1.96, p < .001) than Covid-19-negative subjects. The risk for Covid-19-Positive was higher in untreated-ADHD subjects compared to non-ADHD subjects [crudeOR 1.61 (95% CI 1.36–1.89, p < .001)], while no higher risk was detected in treated ones [crudeOR 1.07 (95% CI 0.78–1.48, p = .65)]. Conclusion: Untreated ADHD seems to constitute a risk factor for Covid-19 infection while drug-treatment ameliorates this effect.

2014 ◽  
Vol 53 (04) ◽  
pp. 264-268 ◽  
Author(s):  
R. Bache ◽  
M. McGilchrist ◽  
C. Daniel ◽  
M. Dugas ◽  
F. Fritz ◽  
...  

SummaryBackground: Pharmaceutical clinical trials are primarily conducted across many countries, yet recruitment numbers are frequently not met in time. Electronic health records store large amounts of potentially useful data that could aid in this process. The EHR4CR project aims at re-using EHR data for clinical research purposes.Objective: To evaluate whether the protocol feasibility platform produced by the Electronic Health Records for Clinical Research (EHR4CR) project can be installed and set up in accordance with local technical and governance requirements to execute protocol feasibility queries uniformly across national borders.Methods: We installed specifically engineered software and warehouses at local sites. Approvals for data access and usage of the platform were acquired and terminology mapping of local site codes to central platform codes were performed. A test data set, or real EHR data where approvals were in place, were loaded into data warehouses. Test feasibility queries were created on a central component of the platform and sent to the local components at eleven university hospitals.Results: To use real, de-identified EHR data we obtained permissions and approvals from ‘data controllers‘ and ethics committees. Through the platform we were able to create feasibility queries, distribute them to eleven university hospitals and retrieve aggregated patient counts of both test data and de-identified EHR data.Conclusion: It is possible to install a uniform piece of software in different university hospitals in five European countries and configure it to the requirements of the local networks, while complying with local data protection regulations. We were also able set up ETL processes and data warehouses, to reuse EHR data for feasibility queries distributed over the EHR4CR platform.


2020 ◽  
Vol 8 (10) ◽  
pp. 1-140
Author(s):  
Alison Porter ◽  
Anisha Badshah ◽  
Sarah Black ◽  
David Fitzpatrick ◽  
Robert Harris-Mayes ◽  
...  

Background Ambulance services have a vital role in the shift towards the delivery of health care outside hospitals, when this is better for patients, by offering alternatives to transfer to the emergency department. The introduction of information technology in ambulance services to electronically capture, interpret, store and transfer patient data can support out-of-hospital care. Objective We aimed to understand how electronic health records can be most effectively implemented in a pre-hospital context in order to support a safe and effective shift from acute to community-based care, and how their potential benefits can be maximised. Design and setting We carried out a study using multiple methods and with four work packages: (1) a rapid literature review; (2) a telephone survey of all 13 freestanding UK ambulance services; (3) detailed case studies examining electronic health record use through qualitative methods and analysis of routine data in four selected sites consisting of UK ambulance services and their associated health economies; and (4) a knowledge-sharing workshop. Results We found limited literature on electronic health records. Only half of the UK ambulance services had electronic health records in use at the time of data collection, with considerable variation in hardware and software and some reversion to use of paper records as services transitioned between systems. The case studies found that the ambulance services’ electronic health records were in a state of change. Not all patient contacts resulted in the generation of electronic health records. Ambulance clinicians were dealing with partial or unclear information, which may not fit comfortably with the electronic health records. Ambulance clinicians continued to use indirect data input approaches (such as first writing on a glove) even when using electronic health records. The primary function of electronic health records in all services seemed to be as a store for patient data. There was, as yet, limited evidence of electronic health records’ full potential being realised to transfer information, support decision-making or change patient care. Limitations Limitations included the difficulty of obtaining sets of matching routine data for analysis, difficulties of attributing any change in practice to electronic health records within a complex system and the rapidly changing environment, which means that some of our observations may no longer reflect reality. Conclusions Realising all the benefits of electronic health records requires engagement with other parts of the local health economy and dealing with variations between providers and the challenges of interoperability. Clinicians and data managers, and those working in different parts of the health economy, are likely to want very different things from a data set and need to be presented with only the information that they need. Future work There is scope for future work analysing ambulance service routine data sets, qualitative work to examine transfer of information at the emergency department and patients’ perspectives on record-keeping, and to develop and evaluate feedback to clinicians based on patient records. Study registration This study is registered as Health and Care Research Wales Clinical Research Portfolio 34166. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 10. See the NIHR Journals Library website for further project information.


2015 ◽  
Vol 38 (3) ◽  
pp. 552-559 ◽  
Author(s):  
Alice S. Forster ◽  
Caroline Burgess ◽  
Hiten Dodhia ◽  
Frances Fuller ◽  
Jane Miller ◽  
...  

2016 ◽  
Vol 9 (2) ◽  
pp. 19
Author(s):  
Xu Tingting ◽  
Ma Cunhong ◽  
Shang Yulian

<p><span style="font-size: 10.5pt; font-family: 'Times New Roman','serif'; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: 宋体; mso-font-kerning: 1.0pt; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">Objective: To standardize and improve the management of health records in community health services in Tai’an city, also to improve community health service level, and enhance residents' awareness of health. Method: taking the residents within the service range of TaiQian Community Health Center in Taian city and the relevant medical staff as research respondent, 120 questionnaires have been sent out to the residents and 15 questionnaires to the staff, then statistical analysis would be made according to the survey results. Results: at current, there are two main ways to establish personal health records, i.e. residents health examination and community personnel pay visit, which are effective; community residents seldom use their personal records, only 93.5% for once a year; 35% of community doctor hold the opinion that the health records have no big value, so there is no need to read, reflecting that the community medical personnel lack of the awareness of use it; the security and completeness of electronic health records are poor. Conclusion: Government should play a leading role in establishing and managing the community health record, improve awareness of community medical personnel in using health records through training, seminars, On-line advertising and other forms, and strengthen and improve the comprehensive management of electronic health records.</span></p>


BMJ Open ◽  
2014 ◽  
Vol 4 (12) ◽  
pp. e005654 ◽  
Author(s):  
Felicity Callard ◽  
Matthew Broadbent ◽  
Mike Denis ◽  
Matthew Hotopf ◽  
Murat Soncul ◽  
...  

2020 ◽  
pp. 0272989X2095440
Author(s):  
Glen B. Taksler ◽  
Jarrod E. Dalton ◽  
Adam T. Perzynski ◽  
Michael B. Rothberg ◽  
Alex Milinovich ◽  
...  

Electronic health records (EHRs) offer the potential to study large numbers of patients but are designed for clinical practice, not research. Despite the increasing availability of EHR data, their use in research comes with its own set of challenges. In this article, we describe some important considerations and potential solutions for commonly encountered problems when working with large-scale, EHR-derived data for health services and community-relevant health research. Specifically, using EHR data requires the researcher to define the relevant patient subpopulation, reliably identify the primary care provider, recognize the EHR as containing episodic (i.e., unstructured longitudinal) data, account for changes in health system composition and treatment options over time, understand that the EHR is not always well-organized and accurate, design methods to identify the same patient across multiple health systems, account for the enormous size of the EHR, and consider barriers to data access. Associations found in the EHR may be nonrepresentative of associations in the general population, but a clear understanding of the EHR-based associations can be enormously valuable to the process of improving outcomes for patients in learning health care systems. In the context of building 2 large-scale EHR-derived data sets for health services research, we describe the potential pitfalls of EHR data and propose some solutions for those planning to use EHR data in their research. As ever greater amounts of clinical data are amassed in the EHR, use of these data for research will become increasingly common and important. Attention to the intricacies of EHR data will allow for more informed analysis and interpretation of results from EHR-based data sets.


2020 ◽  
Vol 49 (3) ◽  
pp. 374-381 ◽  
Author(s):  
Kirsty Bowman ◽  
Lindsay Jones ◽  
Jane Masoli ◽  
Ruben Mujica-Mota ◽  
David Strain ◽  
...  

Abstract Importance risk factors for delirium in hospital inpatients are well established, but less is known about whether delirium occurring in the community or during an emergency admission to hospital care might be predicted from routine primary-care records. Objectives identify risk factors in primary-care electronic health records (PC-EHR) predictive of delirium occurring in the community or recorded in the initial episode in emergency hospitalisation. Test predictive performance against the cumulative frailty index. Design Stage 1: case-control; Stages 2 and 3: retrospective cohort. Setting clinical practice research datalink: PC-EHR linked to hospital discharge data from England. Subjects Stage 1: 17,286 patients with delirium aged ≥60 years plus 85,607 controls. Stages 2 and 3: patients ≥ 60 years (n = 429,548 in 2015), split into calibration and validation groups. Methods Stage 1: logistic regression to identify associations of 110 candidate risk measures with delirium. Stage 2: calibrating risk factor weights. Stage 3: validation in independent sample using area under the curve (AUC) receiver operating characteristic. Results fifty-five risk factors were predictive, in domains including: cognitive impairment or mental illness, psychoactive drugs, frailty, infection, hyponatraemia and anticholinergic drugs. The derived model predicted 1-year incident delirium (AUC = 0.867, 0.852:0.881) and mortality (AUC = 0.846, 0.842:0.853), outperforming the frailty index (AUC = 0.761, 0.740:0.782). Individuals with the highest 10% of predicted delirium risk accounted for 55% of incident delirium over 1 year. Conclusions a risk factor model for delirium using data in PC-EHR performed well, identifying individuals at risk of new onsets of delirium. This model has potential for supporting preventive interventions.


2020 ◽  
Author(s):  
Hanne Støre Valeur ◽  
Anne Kveim Lie ◽  
Kåre Moen

BACKGROUND Patient-accessible electronic health records (PAEHRs) enable patients to access their health records through a secure connection over the internet. Although previous studies of patient experiences with this kind of service have shown that a majority of users are positive toward PAEHRs, little is known about why some patients occasionally or regularly choose not to use them. A better understanding of why patients may choose not to make use of digital health services such as PAEHRs is important for further development and implementation of services aimed at having patients participate in digital health services. OBJECTIVE The objective of the study was to explore patients’ rationales for not embracing online access to health records. METHODS Qualitative interviews were conducted with 40 patients in a department of internal medicine in a Norwegian hospital in 2018-2019. Interview transcripts were subjected to thematic content analysis. In this paper, we focus on the subject of nonuse of PAEHRs. RESULTS We identified 8 different rationales that study participants had for not embracing PAEHRs. When patients reflected on why they might not use PAEHRs, they variously explained that they found PAEHRs unnecessary (they did not feel they were useful), impersonal (they preferred oral dialogue with their doctor or nurse over written information), incomprehensible (the records contained medical terminology and explanations that were hard to understand), misery oriented (the records solely focused on disease), fear provoking (reading the records could cause unwanted emotional reactions), energy demanding (making sense of the records added to the work of being a patient), cumbersome (especially among patients who felt they did not have the necessary digital competence), and impoverishing (they were skeptical about the digital transformation of individual and social life). CONCLUSIONS It is often assumed that the barriers to PAEHR use are mostly practical (such as lack of hardware and access to the internet). In this study, we showed that patients may have many other valid reasons for not wanting to adopt this kind of service. The results can help guide how PAEHRs and other digital health services are promoted and presented to patients, and they may suggest that the goal of a given new digital health service should not necessarily be full uptake by all patients. Rather, one should recognize that different patients might prefer and benefit from different kinds of “analog” and digital health services.


Sign in / Sign up

Export Citation Format

Share Document