Displaying publications 1 - 20 of 365 in total

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  1. Public Knowledge and Attitudes Regarding the Use of Antibiotics and Resistance: Findings from a Cross-Sectional Study Among Palestinian Adults
    Abu Taha A, Abu-Zaydeh AH, Ardah RA, Al-Jabi SW, Sweileh WM, Awang R, et al.
    Zoonoses Public Health, 2016 09;63(6):449-57.
    PMID: 26752329 DOI: 10.1111/zph.12249
    Antibiotics are considered to be among the most commonly sold drug classes in Palestine. Resistance to antibiotics has increased for reasons relating to the use and misuse of antibiotics. The aim of this study was to evaluate the knowledge, and attitudes regarding antibiotic use and awareness about resistance among adults visiting the emergency departments at hospitals in North Palestine. A self-administered cross-sectional questionnaire survey involving participants aged 18 or over was conducted from June 2012 to February 2013. Adults who visited the emergency departments at hospitals in North Palestine were included. Demographic characteristics, knowledge and attitudes towards antibiotic use were included in the questionnaire. Poor and good knowledge were defined as a total knowledge score of 0-7 and 8-15 of 15 questions, respectively. Attitude scores of 0-3 and 4-7 of 7 questions were considered poor and good, respectively. A total of 375 questionnaires were included in the study. A response rate of 83.3% was attained. About 55.0% of the participants had a good knowledge and 56.5% had a good attitude towards rational antibiotic use. A significant positive correlation was shown between participants' knowledge scores and participants' attitude scores towards antibiotic use (R = 0.344, P = 0.001. Participants with a high family income were more likely to be aware of appropriate antibiotic use than participants with a low family income (P-value <0.001). Participants with a higher educational level (university) had a good attitude towards rational antibiotic use than those with a lower education level (P-value <0.001). This study has documented important knowledge and attitude gaps in antibiotic use. These findings will help health policymakers in Palestine to implement intervention programmes to rationalize antibiotic use. Continuing medical education, professional development and training workshops for healthcare professionals regarding rational use of antibiotics and health risks associated with the spread of antibiotic resistance are needed. In addition, minimizing non-prescription use of antibiotics and increasing the public awareness about the health and economic hazards of antibiotic resistance are also required.
    Matched MeSH terms: Data Collection
  2. Fulltext The timing and stability of choice of medical specialty among Malaysian doctors
    Rogayah J, Zulkifli A
    Med J Malaysia, 2001 Sep;56(3):324-30.
    PMID: 11732078
    A total of 356 doctors responded to a survey on the timing and stability of choice of medical specialty. The majority of doctors made their final decision while working as a medical officer. One hundred (48.5%) of the doctors had made an earlier choice as medical students, 63 (30.6%) during their internship and 43 (20.9%) made their final choice while they were medical officers. Working experience in the specialty was the most important factor in determining final choice of specialty. Advice from consultants/seniors, better financial prospects and parental influence were more important for the male doctors while marriage and family considerations were more important for the female doctors in making their final choice.
    Matched MeSH terms: Data Collection
  3. ADA-SR: Activity detection and analysis using security robots for reliable workplace safety
    Zhang G, Jing W, Tao H, Rahman MA, Salih SQ, Al-Saffar A, et al.
    Work, 2021;68(3):935-943.
    PMID: 33612535 DOI: 10.3233/WOR-203427
    BACKGROUND: Human-Robot Interaction (HRI) has become a prominent solution to improve the robustness of real-time service provisioning through assisted functions for day-to-day activities. The application of the robotic system in security services helps to improve the precision of event detection and environmental monitoring with ease.

    OBJECTIVES: This paper discusses activity detection and analysis (ADA) using security robots in workplaces. The application scenario of this method relies on processing image and sensor data for event and activity detection. The events that are detected are classified for its abnormality based on the analysis performed using the sensor and image data operated using a convolution neural network. This method aims to improve the accuracy of detection by mitigating the deviations that are classified in different levels of the convolution process.

    RESULTS: The differences are identified based on independent data correlation and information processing. The performance of the proposed method is verified for the three human activities, such as standing, walking, and running, as detected using the images and sensor dataset.

    CONCLUSION: The results are compared with the existing method for metrics accuracy, classification time, and recall.

    Matched MeSH terms: Data Collection
  4. Fulltext Simultaneous optimization of nanocrystalline SnO2 thin film deposition using multiple linear regressions
    Ebrahimiasl S, Zakaria A
    Sensors (Basel), 2014;14(2):2549-60.
    PMID: 24509767 DOI: 10.3390/s140202549
    A nanocrystalline SnO2 thin film was synthesized by a chemical bath method. The parameters affecting the energy band gap and surface morphology of the deposited SnO2 thin film were optimized using a semi-empirical method. Four parameters, including deposition time, pH, bath temperature and tin chloride (SnCl2·2H2O) concentration were optimized by a factorial method. The factorial used a Taguchi OA (TOA) design method to estimate certain interactions and obtain the actual responses. Statistical evidences in analysis of variance including high F-value (4,112.2 and 20.27), very low P-value (<0.012 and 0.0478), non-significant lack of fit, the determination coefficient (R2 equal to 0.978 and 0.977) and the adequate precision (170.96 and 12.57) validated the suggested model. The optima of the suggested model were verified in the laboratory and results were quite close to the predicted values, indicating that the model successfully simulated the optimum conditions of SnO2 thin film synthesis.
    Matched MeSH terms: Data Collection
  5. Fulltext Oil Palm Waste-Based Precursors as a Renewable and Economical Carbon Sources for the Preparation of Reduced Graphene Oxide from Graphene Oxide
    Nasir S, Hussein MZ, Yusof NA, Zainal Z
    Nanomaterials (Basel), 2017 Jul 13;7(7).
    PMID: 28703757 DOI: 10.3390/nano7070182
    Herein, a new approach was proposed to produce reduced graphene oxide (rGO) from graphene oxide (GO) using various oil palm wastes: oil palm leaves (OPL), palm kernel shells (PKS) and empty fruit bunches (EFB). The effect of heating temperature on the formation of graphitic carbon and the yield was examined prior to the GO and rGO synthesis. Carbonization of the starting materials was conducted in a furnace under nitrogen gas for 3 h at temperatures ranging from 400 to 900 °C and a constant heating rate of 10 °C/min. The GO was further synthesized from the as-carbonized materials using the 'improved synthesis of graphene oxide' method. Subsequently, the GO was reduced by low-temperature annealing reduction at 300 °C in a furnace under nitrogen gas for 1 h. The IG/ID ratio calculated from the Raman study increases with the increasing of the degree of the graphitization in the order of rGO from oil palm leaves (rGOOPL) < rGO palm kernel shells (rGOPKS) < rGO commercial graphite (rGOCG) < rGO empty fruit bunches (rGOEFB) with the IG/ID values of 1.06, 1.14, 1.16 and 1.20, respectively. The surface area and pore volume analyses of the as-prepared materials were performed using the Brunauer Emmett Teller-Nitrogen (BET-N₂) adsorption-desorption isotherms method. The lower BET surface area of 8 and 15 m2 g-1 observed for rGOCG and rGOOPL, respectively could be due to partial restacking of GO layers and locally-blocked pores. Relatively, this lower BET surface area is inconsequential when compared to rGOPKS and rGOEFB, which have a surface area of 114 and 117 m² g-1, respectively.
    Matched MeSH terms: Data Collection
  6. Development of Low-Cost Microcontroller-Based Interface for Data Acquisition and Control of Microbioreactor Operation
    Husain AR, Hadad Y, Zainal Alam MN
    J Lab Autom, 2016 Oct;21(5):660-70.
    PMID: 26185253 DOI: 10.1177/2211068215594770
    This article presents the development of a low-cost microcontroller-based interface for a microbioreactor operation. An Arduino MEGA 2560 board with 54 digital input/outputs, including 15 pulse-width-modulation outputs, has been chosen to perform the acquisition and control of the microbioreactor. The microbioreactor (volume = 800 µL) was made of poly(dimethylsiloxane) and poly(methylmethacrylate) polymers. The reactor was built to be equipped with sensors and actuators for the control of reactor temperature and the mixing speed. The article discusses the circuit of the microcontroller-based platform, describes the signal conditioning steps, and evaluates the capacity of the proposed low-cost microcontroller-based interface in terms of control accuracy and system responses. It is demonstrated that the proposed microcontroller-based platform is able to operate parallel microbioreactor operation with satisfactory performances. Control accuracy at a deviation less than 5% of the set-point values and responses in the range of few seconds have been recorded.
    Matched MeSH terms: Data Collection
  7. RERS-CC: Robotic facial recognition system for improving the accuracy of human face identification using HRI
    Jing W, Tao H, Rahman MA, Kabir MN, Yafeng L, Zhang R, et al.
    Work, 2021;68(3):923-934.
    PMID: 33612534 DOI: 10.3233/WOR-203426
    BACKGROUND: Human-Computer Interaction (HCI) is incorporated with a variety of applications for input processing and response actions. Facial recognition systems in workplaces and security systems help to improve the detection and classification of humans based on the vision experienced by the input system.

    OBJECTIVES: In this manuscript, the Robotic Facial Recognition System using the Compound Classifier (RERS-CC) is introduced to improve the recognition rate of human faces. The process is differentiated into classification, detection, and recognition phases that employ principal component analysis based learning. In this learning process, the errors in image processing based on the extracted different features are used for error classification and accuracy improvements.

    RESULTS: The performance of the proposed RERS-CC is validated experimentally using the input image dataset in MATLAB tool. The performance results show that the proposed method improves detection and recognition accuracy with fewer errors and processing time.

    CONCLUSION: The input image is processed with the knowledge of the features and errors that are observed with different orientations and time instances. With the help of matching dataset and the similarity index verification, the proposed method identifies precise human face with augmented true positives and recognition rate.

    Matched MeSH terms: Data Collection
  8. Fulltext Sample Size Calculation in Animal Studies Using Resource Equation Approach
    Arifin WN, Zahiruddin WM
    Malays J Med Sci, 2017 Oct;24(5):101-105.
    PMID: 29386977 MyJurnal DOI: 10.21315/mjms2017.24.5.11
    Animal research plays an important role in the pre-clinical phase of clinical trials. In animal studies, the power analysis approach to sample size calculation is recommended. Whenever it is not possible to assume the standard deviation and the effect size, an alternative to the power analysis approach is the 'resource equation' approach, which sets the acceptable range of the error degrees of freedom (DF) in an analysis of variance (ANOVA). The aim of this article is to guide researchers in calculating the minimum and maximum numbers of animals required in animal research by reformulating the error DF formulas.
    Matched MeSH terms: Data Collection
  9. Fulltext Usage and completeness of antimicrobial prescribing form within general intensive care unit in a tertiary hospital
    Nordin N. N., Lau, C. L., Wan Mat W. R., Yow, H. Y.
    Malaysian Journal of Medicine and Health Sciences, 2019;15(102):3-3.
    MyJurnal
    Introduction: The incidence of antimicrobial resistance (AMR) has increased worldwide including Malaysia, which may be attributed partly to inappropriate prescribing of antimicrobials. Antimicrobial prescribing form has been introduced to mandate appropriate antimicrobial prescription including documented indication as a key standard of antimicrobial stewardship practice. Hence, this current study aimed to determine the usage and completeness of the designated antimicrobial prescribing form that had been implemented in the General Intensive Care Unit (GICU), Universiti Kebangsaan Malaysia Medical Centre (UKMMC). Methods: This prospective observational study was carried out in GICU UKMMC from 30 August 2018 to 30 November 2018 by convenience sampling. The information that was recorded in the antimicrobial prescribing form was collected by using the designated data collection form. A total of 68 patients were included and 205 antimicrobial prescribing forms were evaluated. Results: There were 100% usage of antimicrobial prescribing forms found in this study. However, only 81 ± 8 % of these forms were completely filled. Indication for the antimicrobial prescription was not filled in 47% of the forms. Almost two thirds of the antimicrobial prescriptions were empirically indicated and one percent de-escalation of antimicrobial therapy was filled in the forms. These prescriptions comprised of 91.7% antibiotics, 7.8% antifungals and 0.5% antivirals. The suspected site of infections were primarily from the lungs (27%), gastrointestinal (16%), blood (16%) and central nervous system (14%). Piperacillin/Tazobactam was the most frequent antibiotic prescribed (21%), followed by third and fourth generation cephalosporins (20%). Conclusion: This study provided an overview of the uptake of the antimicrobial prescribing form implementation and highlighted the requirement for supplementary efforts to maximize the compliance of this form.
    Matched MeSH terms: Data Collection
  10. Fulltext Optimal estimated process parameters side sensitive group runs chart based on expected average run length
    You HW
    Heliyon, 2018 Oct;4(10):e00848.
    PMID: 30386825 DOI: 10.1016/j.heliyon.2018.e00848
    The side sensitive group runs (SSGR) chart is better than both the Shewhart and synthetic charts in detecting small and moderate process mean shifts. In practical circumstances, the process parameters are seldom known, so it is necessary to estimate them from in-control Phase-I samples. Research has discovered that a large number of in-control Phase-I samples are needed for the SSGR chart with estimated process parameters to behave similarly to a chart with known process parameters. The common metric to evaluate the performance of the control chart is average run length (ARL). An assumption for the computation of the ARL is that the shift size is assumed to be known. In reality however, the practitioners may not know the following shift size in advance. In light of this, the expected average run length (EARL) will be considered to measure the performance of the SSGR chart. Moreover, the standard deviation of the ARL (SDARL) will be studied, which is used to quantify the between-practitioner variability in the SSGR chart with estimated process parameters. This paper proposes the optimal design of the estimated process parameters SSGR chart based on the EARL criterion. The application of the optimal SSGR chart with estimated process parameters is demonstrated with actual data taken from a manufacturing company.
    Matched MeSH terms: Data Collection
  11. Child marriage in Bangladesh: trends and determinants
    Kamal SM, Hassan CH, Alam GM, Ying Y
    J Biosoc Sci, 2015 Jan;47(1):120-39.
    PMID: 24480489 DOI: 10.1017/S0021932013000746
    This study examines the trends and determinants of child marriage among women aged 20-49 in Bangladesh. Data were extracted from the last six nationally representative Demographic and Health Surveys conducted during 1993-2011. Simple cross-tabulation and multivariate binary logistic regression analyses were adopted. According to the survey conducted in 2011, more than 75% of marriages can be categorized as child marriages. This is a decline of 10 percentage points in the prevalence of child marriage compared with the survey conducted in 1993-1994. Despite some improvements in education and other socioeconomic indicators, Bangladeshi society still faces the relentless practice of early marriage. The mean age at first marriage has increased by only 1.4 years over the last one and half decades, from 14.3 years in 1993-1994 to 15.7 years in 2011. Although the situation on risk of child marriage has improved over time, the pace is sluggish. Both the year-of-birth and year-of-marriage cohorts of women suggest that the likelihood of marrying as a child has decreased significantly in recent years. The risk of child marriage was significantly higher when husbands had no formal education or little education, and when the wives were unemployed or unskilled workers. Muslim women living in rural areas have a greater risk of child marriage. Women's education level was the single most significant negative determinant of child marriage. Thus, the variables identified as important determinants of child marriage are: education of women and their husbands, and women's occupation, place of residence and religion. Programmes to help and motivate girls to stay in school will not only reduce early marriage but will also support overall societal development. The rigid enforcement of the legal minimum age at first marriage could be critical in decreasing child marriage.
    Matched MeSH terms: Data Collection
  12. The relationship between age of smoking initiation and current smoking: an analysis of school surveys in three European countries
    Reidpath DD, Ling ML, Wellington E, Al-Sadat N, Yasin S
    Nicotine Tob Res, 2013 Mar;15(3):729-33.
    PMID: 22990215 DOI: 10.1093/ntr/nts177
    INTRODUCTION: It is held that younger smoking initiates are more likely to become regular smokers. The definitions of smoking initiation (a puff, part of a cigarette, a whole cigarette) are inconsistent and raise questions about the robustness of the view. We sought to re-examine the relationship using adolescent smoking data from 3 European countries.
    METHODS: A stratified secondary, logistic regression analysis of Global Youth Tobacco Survey data was conducted using a design-based analysis. Subgroup analyses were conducted of 13- to 15-year olds from Latvia (high smoking prevalence), Slovenia (moderate prevalence), and Montenegro (low prevalence) who had initiated smoking. The outcome was current smoking--smoking everyday for the past 30 days, or smoking 10 or more days in the past 30 days. Smoking initiation was operationalized as a single puff of a cigarette, and age of smoking initiation was a derived continuous measure.
    RESULTS: In Latvia, there was a significant association between age of smoking initiation and current smoking for males (p < .05) and females (p < .001) when smoking was operationalized as smoking every day. It was only significant in female adolescents (p < .001) for smoking 10 or more days. In Slovenia and Montenegro, there was no significant relationship between age of smoking initiation and current smoking for either males or females.
    CONCLUSIONS: The evidence about the relationship between age of smoking initiation and current smoking is not clear. Explanations for the findings may relate to a lack of power, the specificity of the measure, or problems with the theory.
    Matched MeSH terms: Data Collection
  13. A simple and efficient sequential electrokinetic and hydrodynamic injections in micellar electrokinetic chromatography method for quantification of anticancer drug 5-fluorouracil and its metabolite in human plasma
    Semail NF, Noordin SS, Keyon ASA, Waras MN, Saad B, Kamaruzaman S, et al.
    Biomed Chromatogr, 2021 May;35(5):e5050.
    PMID: 33314228 DOI: 10.1002/bmc.5050
    A simple and sensitive preconcentration strategy using sequential electrokinetic and hydrodynamic injection modes in micellar electrokinetic chromatography with diode array detection was developed and applied for the separation and determination of anticancer agent, 5-fluorouracil and its metabolite, 5-fluoro-2'-deoxyuridine, in human plasma. Sequential injection modes with increased analyte loading capacity using the anionic pseudo-stationary phase facilitated collection of the dispersed neutral and charged analytes into narrow zones and improved sensitivity. Several important parameters affecting sample enrichment performance were evaluated and optimized in this study. Under the optimized experimental conditions, 614- and 643-fold and 782- and 803-fold sensitivity improvement were obtained for 5-fluorouracil and its metabolite when compared with normal hydrodynamic and electrokinetic injection, respectively. The method has good linearity (1-1,000 ng/ml) with acceptable coefficient of determination (r2  > 0.993), low limits of detection (0.11-0.14 ng/ml) and satisfactory analyte relative recovery (97.4-99.7%) with relative standard deviations of 4.6-9.3% (n = 6). Validation results as well as the application to analysis of human plasma samples from cancer patients demonstrate the applicability of the proposed method to clinical studies.
    Matched MeSH terms: Data Collection
  14. Analyzing Data Remnant Remains on User Devices to Determine Probative Artifacts in Cloud Environment
    Ahmed AA, Xue Li C
    J Forensic Sci, 2018 Jan;63(1):112-121.
    PMID: 28397244 DOI: 10.1111/1556-4029.13506
    Cloud storage service allows users to store their data online, so that they can remotely access, maintain, manage, and back up data from anywhere via the Internet. Although helpful, this storage creates a challenge to digital forensic investigators and practitioners in collecting, identifying, acquiring, and preserving evidential data. This study proposes an investigation scheme for analyzing data remnants and determining probative artifacts in a cloud environment. Using pCloud as a case study, this research collected the data remnants available on end-user device storage following the storing, uploading, and accessing of data in the cloud storage. Data remnants are collected from several sources, including client software files, directory listing, prefetch, registry, network PCAP, browser, and memory and link files. Results demonstrate that the collected remnants data are beneficial in determining a sufficient number of artifacts about the investigated cybercrime.
    Matched MeSH terms: Data Collection
  15. Fulltext Health-care data collecting, sharing, and using in Thailand, China mainland, South Korea, Taiwan, Japan, and Malaysia
    Aljunid SM, Srithamrongsawat S, Chen W, Bae SJ, Pwu RF, Ikeda S, et al.
    Value Health, 2012 2 1;15(1 Suppl):S132-8.
    PMID: 22265060 DOI: 10.1016/j.jval.2011.11.004
    This article sought to describe the health-care data situation in six selected economies in the Asia-Pacific region. Authors from Thailand, China mainland, South Korea, Taiwan, Japan, and Malaysia present their analyses in three parts. The first part of the article describes the data-collection process and the sources of data. The second part of the article presents issues around policies of data sharing with the stakeholders. The third and final part of the article focuses on the extent of health-care data use for policy reform in these different economies. Even though these economies differ in their economic structure and population size, they share some similarities on issues related to health-care data. There are two main institutions that collect and manage the health-care data in these economies. In Thailand, China mainland, Taiwan, and Malaysia, the Ministry of Health is responsible through its various agencies for collecting and managing the health-care data. On the other hand, health insurance is the main institution that collects and stores health-care data in South Korea and Japan. In all economies, sharing of and access to data is an issue. The reasons for limited access to some data are privacy protection, fragmented health-care system, poor quality of routinely collected data, unclear policies and procedures to access the data, and control on the freedom on publication. The primary objective of collecting health-care data in these economies is to aid the policymakers and researchers in policy decision making as well as create an awareness on health-care issues for the general public. The usage of data in monitoring the performance of the heath system is still in the process of development. In conclusion, for the region under discussion, health-care data collection is under the responsibility of the Ministry of Health and health insurance agencies. Data are collected from health-care providers mainly from the public sector. Routinely collected data are supplemented by national surveys. Accessibility to the data is a major issue in most of the economies under discussion. Accurate health-care data are required mainly to support policy making and evidence-based decisions.
    Matched MeSH terms: Data Collection/methods*
  16. Contamination of perfluorinated compounds (PFCs) in Chao Phraya River and Bangpakong River, Thailand
    Kunacheva C, Boontanon SK, Fujii S, Tanaka S, Musirat C, Artsalee C, et al.
    Water Sci Technol, 2009;60(4):975-82.
    PMID: 19700836 DOI: 10.2166/wst.2009.462
    Perfluorinated compounds (PFCs) have been used for many years, and are distributed all over the world. This study focused on occurrences of PFCs, especially perfluorooctane sulfonate (PFOS) and perfluorooctonoic acid (PFOA) in Thai rivers and industrial estate discharges, while comparing results with rivers of other Asian countries (Japan, China, and Malaysia). Surveys were conducted in Chao Phraya River, Bangpakong River and three industrial estates. A solid phase extraction (SPE) and HPLC-ESI-MS/MS were used for the analysis of these chemicals. The average concentrations of PFOS and PFOA were 1.9 and 4.7 ng/L, respectively in Chao Phraya River, while lower concentrations were detected in Bangpakong River with the averages of 0.7 ng/L for both PFOS and PFOA. Higher concentrations were detected in all industrial estate discharges with the averages of 64.3 ng/L for PFOA and 17.9 ng/L for PFOS., Total loadings from three industrial estates were 1.93 g/d for PFOS and 11.81 g/d for PFOA. The concentration levels in Thai rivers were less than rivers in Japan, China, and Malaysia. However, PFCs loading rate of Chao Phraya River was much higher than Yodo River (Japan), due to the higher flow rate. The other six PFCs were found above the Limit of Quantification (LOQ) in most samples. PFHxS and PFNA were also highly detected in some river samples.
    Matched MeSH terms: Data Collection
  17. Statistical validation for the profiling of heroin by associating simulated postcut samples with the corresponding precut sample
    Chan KW, Tan GH, Wong RC
    J Forensic Sci, 2013 Jan;58 Suppl 1:S199-207.
    PMID: 23013257 DOI: 10.1111/j.1556-4029.2012.02285.x
    Statistical validation is crucial for the clustering of unknown samples. This study aims to demonstrate how statistical techniques can be optimized using simulated heroin samples containing a range of analyte concentrations that are similar to those of the case samples. Eight simulated heroin distribution links consisting of 64 postcut samples were prepared by mixing one of two mixtures of paracetamol-caffeine-dextromethorphan at different proportions with eight precut samples. Analyte contents and compositional variation of the prepared samples were investigated. A number of data pretreatments were evaluated by associating the postcut samples with the corresponding precut samples using principal component analysis and discriminant analysis. Subsequently, combinations of seven linkage methods and five distance measures were explored using hierarchical cluster analysis. In this study, Ward-Manhattan showed better distinctions between unrelated links and was able to cluster all related samples in very close distance under the known links on a dendogram. A similar discriminative outcome was also achieved by 90 unknown case samples when clustered via Ward-Manhattan.
    Matched MeSH terms: Data Collection
  18. Knowledge of and attitudes toward the HPV vaccine among multi-ethnic women from urban/university and rural areas
    Wong LP
    Int J Gynaecol Obstet, 2011 Feb;112(2):146-7.
    PMID: 21130440 DOI: 10.1016/j.ijgo.2010.09.006
    Matched MeSH terms: Data Collection
  19. Research philosophy in pharmacy practice: necessity and relevance
    Winit-Watjana W
    Int J Pharm Pract, 2016 Dec;24(6):428-436.
    PMID: 27339891 DOI: 10.1111/ijpp.12281
    OBJECTIVE: Pharmacy practice has gradually evolved with the paradigm shifted towards patient-focused practice or medicines optimisation. The advancement of pharmacy-related research has contributed to this progression, but the philosophy of research remained unexplored. This review was thus aimed to outline the succinct concept of research philosophy and its application in pharmacy practice research.

    KEY FINDINGS: Research philosophy has been introduced to offer an alternative way to think about problem-driven research that is normally conducted. To clarify the research philosophy, four research paradigms, i.e. positivism (or empiricism), postpositivism (or realism), interpretivism (or constructivism) and pragmatism, are investigated according to philosophical realms, i.e. ontology, epistemology, axiology and logic of inquiry. With the application of research philosophy, some examples of quantitative and qualitative research were elaborated along with the conventional research approach. Understanding research philosophy is crucial for pharmacy researchers and pharmacists, as it underpins the choice of methodology and data collection.

    CONCLUSIONS: The review provides the overview of research philosophy and its application in pharmacy practice research. Further discussion on this vital issue is warranted to help generate quality evidence for pharmacy practice.

    Matched MeSH terms: Data Collection/methods
  20. Fulltext PeskAAS: A near-real-time, open-source monitoring and analytics system for small-scale fisheries
    Tilley A, Dos Reis Lopes J, Wilkinson SP
    PLoS One, 2020;15(11):e0234760.
    PMID: 33186386 DOI: 10.1371/journal.pone.0234760
    Small-scale fisheries are responsible for landing half of the world's fish catch, yet there are very sparse data on these fishing activities and associated fisheries production in time and space. Fisheries-dependent data underpin scientific guidance of management and conservation of fisheries systems, but it is inherently difficult to generate robust and comprehensive data for small-scale fisheries, particularly given their dispersed and diverse nature. In tackling this challenge, we use open source software components including the Shiny R package to build PeskAAS; an adaptable and scalable digital application that enables the collation, classification, analysis and visualisation of small-scale fisheries catch and effort data. We piloted and refined this system in Timor-Leste; a small island developing nation. The features that make PeskAAS fit for purpose are that it is: (i) fully open-source and free to use (ii) component-based, flexible and able to integrate vessel tracking data with catch records; (iii) able to perform spatial and temporal filtering of fishing productivity by fishing method and habitat; (iv) integrated with species-specific length-weight parameters from FishBase; (v) controlled through a click-button dashboard, that was co-designed with fisheries scientists and government managers, that enables easy to read data summaries and interpretation of context-specific fisheries data. With limited training and code adaptation, the PeskAAS workflow has been used as a framework on which to build and adapt systematic, standardised data collection for small-scale fisheries in other contexts. Automated analytics of these data can provide fishers, managers and researchers with insights into a fisher's experience of fishing efforts, fisheries status, catch rates, economic efficiency and geographic preferences and limits that can potentially guide management and livelihood investments.
    Matched MeSH terms: Data Collection
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