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Objectives: Health-related out-of-pocket expenditure (OOPE) impedes utilization for maternal health care. We aim to systematically review the magnitude, reasons, associated factors, and implications of OOPE during pregnancy., Study Design: The study design is a protocol for systematic review and meta-analysis., Methods: A comprehensive literature search will be conducted with the electronic databases of PubMed, Web of Science, Scopus, Cochrane, Trip, Social care online, IDEAS, EconPapers, ERIC, and EconStor. A manual search will be carried out for the reference lists of eligible studies and reviews. The search strategy will include combining two key blocks of terms, namely: 'pregnancy' and 'OOPE,' using database-specific subject headings and text words. Two independent reviewers will screen and assess data quality and extract data for synthesis. Any disagreements during any stage will be determined by consensus with the involvement of a third reviewer. The 'Mixed methods appraisal tool' will be adapted for the quality appraisal of the eligible studies. A narrative synthesis will be provided for the reasons, associated factors, and implications of OOPE, and a meta-analysis will be conducted for the magnitude of OOPE. Furthermore, a subgroup analysis will be done with countries with different income levels and health care policies., Trial Registration: PROSPERO 2020 CRD42020168566., (Copyright © 2022 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Fetal movement count monitoring is one of the most commonly used methods of assessing fetal well-being. While few methods are available to monitor fetal movements, they consist of several adverse qualities such as unreliability as well as the inability to be conducted in a non-clinical setting. Therefore, this research was conducted to design a complete system that will enable pregnant mothers to monitor fetal movement at home. This system consists of a non-invasive, non-transmitting sensor unit that can be fabricated at a low cost. An accelerometer was utilized as the primary sensor and a micro-controller based circuit was implemented. Clinical testing was conducted utilizing this sensor unit. Two phases of clinical testing procedures were done and during the first phase readings from 120 mothers were taken while during the second phase readings from 15 mothers were taken. Validation was done by conducting an abdominal ultrasound scan which was utilized as the ground truth during the second phase of the clinical testing procedure. A clinical survey was also conducted in parallel with clinical testings in order to improve the sensor unit as well as to improve the final system. Four different signal processing algorithms were implemented on the data set and the performance of each was compared with each other. Out of the four algorithms three algorithms were able to obtain a true positive rate around 85%. However, the best algorithm was selected on the basis of minimizing the false positive rate. Consequently, the most feasible as well as the best performing algorithm was determined and it was utilized in the final system. This algorithm have a true positive rate of 86% and a false positive rate of 7% Furthermore, a mobile application was also developed to be used with the sensor unit by pregnant mothers. Finally, a complete end to end method to monitor fetal movement in a non-clinical setting was presented by the proposed system., Competing Interests: A patent application for the device mentioned in the manuscript was submitted to the National Intellectual Property Office of Sri Lanka under the application number LK/P/20786. The title is “A Fetal Movement Counting Device” and the application is currently being processed. The owners of this are, Anupama Subashini, Sachitha Abeywardhana, Thanushi Ruwanga, Samitha Guarathne, Parakrama Ekanayake, Roshan Godaliyadda, Janaka Wijayakulasooriya and Chathura Rathnayake. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Destructive maceration, a wide host range, and longevity in non-plant substrates has established Dickeya dianthicola (blackleg of potato) as a significant threat to potato industries worldwide. To protect these businesses, a specific and sensitive point-of-care D. dianthicola detection tool is necessary. We have developed a loop-mediated isothermal amplification (LAMP) assay for specific, sensitive, and rapid detection of D. dianthicola, which can be streamlined for point-of-care use. The developed LAMP assay targets a unique gene, alcohol dehydrogenase, of D. dianthicola. Assay specificity was assessed using strains present in inclusivity (16 D. dianthicola strains) and exclusivity panels (56 closely related, potato pathogenic, and other bacterial strains). Amplification with strains of inclusivity panel occurred, and cross-reactivity with non-target DNA was not observed. The limit of detection (LOD) was 10 CFU/ml when dilutions were made before isolating the genomic DNA; however, LOD was determined as 1 pg using 10-fold serially diluted D. dianthicola genomic DNA. Similar LOD of 1 pg was observed when serially diluted target genomic DNA was mixed with host genomic DNA. LOD (1 pg) was also calculated with 10-fold serially diluted synthetic DNA fragments containing primer target sites. Naturally and artificially inoculated plant samples were used for field adaptability tests with the field-deployable Optigene Plant Material Lysis Kit and a heat block (65°C); the results were obtained within 20 minutes. Despite the lack of method precision, no false positives or false negatives were observed. Therefore, with prepared reactions and a steady heat source, this assay can be used for rapid point-of-care detection, which is imperative for quarantine, eradication, disease management, and border protection., Competing Interests: The authors have declared that no competing interests exist.