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1.
Article in English | MEDLINE | ID: mdl-35409656

ABSTRACT

The COVID-19 pandemic has had two main consequences for the organization of treatment in primary healthcare: restricted patients' access to medical facilities and limited social mobility. In turn, these consequences pose a great challenge for patients and healthcare providers, i.e., the limited personal contact with medical professionals. This can be eased by new digital technology. While providing solutions to many problems, this technology poses several organizational challenges for healthcare system participants. As the current global situation and the outbreak of the humanitarian crisis in Europe show, these and other likely emergencies amplify the need to learn the lessons and prepare organizations for exceptional rapid changes. Therefore, a question arises of whether organizations are ready to use modern e-health solutions in the context of a rapidly and radically changing situation, and how this readiness can be verified. The aim of this article is to clarify the organizational e-heath readiness concept of Polish primary healthcare units. This study employs the triangulation of analytical methods, as it uses: (i) a literature review of e-health readiness assessment, (ii) primary data obtained with a survey (random sampling of 371 managers of PHC facilities across Poland) and (iii) the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, employed to estimate the structural model. The evaluation of the model revealed that its concept was adequate for more mature entities that focus on the patient- and employee-oriented purpose of digitization, and on assuring excellent experience derived from a consistent care process. In the context of patients' restricted access to medical facilities and limited social mobility, a simpler version of the research model assesses the readiness more adequately. Finally, the study increases the knowledge base of assets (resources and capabilities), which will help healthcare systems better understand the challenges surrounding the adoption and scaling of e-health technologies.


Subject(s)
COVID-19 , Telemedicine , COVID-19/epidemiology , Health Personnel , Humans , Organizations , Pandemics
2.
Int J Mol Sci ; 20(7)2019 Mar 27.
Article in English | MEDLINE | ID: mdl-30934674

ABSTRACT

A series of new benzene-based derivatives was designed, synthesized and comprehensively characterized. All of the tested compounds were evaluated for their in vitro ability to potentially inhibit the acetyl- and butyrylcholinesterase enzymes. The selectivity index of individual molecules to cholinesterases was also determined. Generally, the inhibitory potency was stronger against butyryl- compared to acetylcholinesterase; however, some of the compounds showed a promising inhibition of both enzymes. In fact, two compounds (23, benzyl ethyl(1-oxo-1-phenylpropan-2-yl)carbamate and 28, benzyl (1-(3-chlorophenyl)-1-oxopropan-2-yl) (methyl)carbamate) had a very high selectivity index, while the second one (28) reached the lowest inhibitory concentration IC50 value, which corresponds quite well with galanthamine. Moreover, comparative receptor-independent and receptor-dependent structure⁻activity studies were conducted to explain the observed variations in inhibiting the potential of the investigated carbamate series. The principal objective of the ligand-based study was to comparatively analyze the molecular surface to gain insight into the electronic and/or steric factors that govern the ability to inhibit enzyme activities. The spatial distribution of potentially important steric and electrostatic factors was determined using the probability-guided pharmacophore mapping procedure, which is based on the iterative variable elimination method. Additionally, planar and spatial maps of the host⁻target interactions were created for all of the active compounds and compared with the drug molecules using the docking methodology.


Subject(s)
Acetylcholinesterase/metabolism , Benzene/chemistry , Benzene/pharmacology , Butyrylcholinesterase/metabolism , Carbamates/chemistry , Carbamates/pharmacology , Cholinesterase Inhibitors/chemistry , Cholinesterase Inhibitors/pharmacology , Animals , Benzene/chemical synthesis , Carbamates/chemical synthesis , Cholinesterase Inhibitors/chemical synthesis , Drug Design , Electrophorus , Horses , Inhibitory Concentration 50 , Ligands , Molecular Docking Simulation , Principal Component Analysis , Probability , Structure-Activity Relationship
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