Journal articles: 'Medical statistics Evaluation'

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Newcombe, Robert G. "Evaluation of statistics teaching given to medical undergraduates." Statistics in Medicine 9, no. 9 (September 1990): 1045–55. http://dx.doi.org/10.1002/sim.4780090909.

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Finney, Tia L. "Confirmative Evaluation: New CIPP Evaluation Model." Journal of Modern Applied Statistical Methods 18, no. 2 (December 7, 2020): 2–24. http://dx.doi.org/10.22237/jmasm/1598889893.

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Struggling trainees often require a substantial investment of time, effort, and resources from medical educators. An emergent challenge involves developing effective ways to accurately identify struggling students and better understand the primary causal factors underlying their poor performance. Identifying the potential reasons for poor performance in medical school is a key first step in developing suitable remediation plans. The SOM Modified Program is a remediation program that aims to ensure academic success for medical students. The purpose of this study is to determine the impact of modifying the CIPP evaluation model by adding a confirmative evaluation step to the model. This will be carried out by conducting a program evaluation of Wayne State University’s School of Medicine Modified Program to determine its effectiveness for student success. The key research questions for this study are 1) How effective is the Modified Program for student’s success in the SOM? 2) Do students benefit from a modified program in medical school? 3) Will the CIPP program evaluation model become more effective by adding confirmative evaluation component?

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Alves, Áquila Talita Lima Santana, Fernando Vinicius Alves, Enaldo Vieira Melo, and Edméa Fontes de Oliva-Costa. "Evaluation of medical interns' attitudes towards relevant aspects of medical practice." Revista da Associação Médica Brasileira 63, no. 6 (June 2017): 492–99. http://dx.doi.org/10.1590/1806-9282.63.06.492.

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Summary Introduction: In traditional medical school curriculum, sixth-year is the moment in which students experience medical practice more intensively. Attitudes can be considered predictors of behaviors and actions. Evaluating them contributes to improve medical training. Objective: To evaluate attitudes during medical internship considering medical practice and associated factors in a Brazilian public university. Method: Cross-sectional study that included 69 students, based on a structured questionnaire and an attitude scale (Colares, 2002). We used descriptive statistics, with classification of the attitude tendency, clusters analysis and F-statistics. Results: The average age of the participants was 25.1±1.9, and 56.5% of them were male. Students presented positive attitudes to emotional aspects in organic diseases, primary health care, the medical contribution to the scientific advancement of medicine, and other aspects of medical activity and health politics; there were conflicting attitudes concerning mental illness and negative attitudes concerning death. Conclusion: Results show the need for interventions in order to reduce the identified conflicting and negative attitudes.

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SOFATZIS, JOHN, and VASSO IOAKIMIDOU. "Perinatal Statistics." Pediatrics 80, no. 2 (August 1, 1987): 301–2. http://dx.doi.org/10.1542/peds.80.2.301.

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To the Editor.— Evaluation of the effect of good medical care of pregnant women and newborn infants and/or the impact of birth weight distribution on crude perinatal mortality rates is based upon the use of birth weight-specific mortality rates and standardized perinatal mortality rates.1-4 We agree with the suggestion made by Hermansen and Hasan5 that all future reports on perinatal statistics should comply with the recommendations made by WHO. Moreover, meaningful comparisons of standardized perinatal mortality rates over time and place require the use of a standard birth weight distribution.

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Shelton, Penny S., Joseph T. Hanlon, Pamela B. Landsman, Mollie A. Scott, Ingrid K. Lewis, Kenneth E. Schmader, Gregory P. Samsa, and Morris Weinberger. "Reliability of Drug Utilization Evaluation as an Assessment of Medication Appropriateness." Annals of Pharmacotherapy 31, no. 5 (May 1997): 533–42. http://dx.doi.org/10.1177/106002809703100502.

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OBJECTIVE: To test the reliability of drug utilization evaluation (DUE) applied to medications commonly used by the ambulatory elderly. METHODS: A DUE model was developed for four domains: (1) justification for use, (2) critical process indicators, (3) complications, and (4) clinical outcomes. DUE criteria specific to use in the elderly were developed for angiotensin-converting enzyme (ACE) inhibitors and histamine2 (H2)-antagonists, and consensus was reached by an external expert panel. After pilot testing, two clinical pharmacists independently evaluated these medications, applying the DUE criteria and rating each item as appropriate or inappropriate. Interrater and intrarater reliability was assessed by using κ statistics. RESULTS: In a sample of 208 ambulatory elderly veterans, 42 (20.2%) were taking an ACE inhibitor and 56 (26.9%) an H2-antagonist. The interrater agreement for individual domains, represented by κ statistics, were 0.10–0.58 and 0–0.83 for ACE inhibitors and H2-antagonists, respectively. The κ statistic for overall agreement, which considered ratings from all criteria across all domains, was 0.24 for ACE inhibitors and 0.18 for H2-antagonists. Intrarater reliability was assessed 3 months later, and κ statistics were 0.61–0.65 (0.49 overall) and 0–0.96 (0.81 overall) for ACE inhibitors and H2-antagonists, respectively. CONCLUSIONS: Intrarater reliability for DUE was good to excellent. However, interrater reliability exhibited only marginal reproducibility, particularly where evaluators were required to use subjective judgment (i.e., complications, clinical outcomes). DUE may not be a suitable standard for assessing medication appropriateness in ambulatory elderly patients.

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Qiu, Peihua. "The Statistical Evaluation of Medical Tests for Classification and Prediction." Journal of the American Statistical Association 100, no. 470 (June 2005): 705. http://dx.doi.org/10.1198/jasa.2005.s19.

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Farewell, Vernon T., and Agnes M. Herzberg. "Plaid designs for the evaluation of training for medical practitioners." Journal of Applied Statistics 30, no. 9 (November 2003): 957–65. http://dx.doi.org/10.1080/0266476032000076092.

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Abbas, Manzar, Hareem Rauf, Javeria Bilal Qamar, Syeda Ramlah Tul Sania, Russell Seth Martins, and Zahra Hoodbhoy. "Evaluation of data analytics workshop using RStudio amongst medical students in Pakistan." Journal of the Pakistan Medical Association 73, no. 1 (December 15, 2022): 222–24. http://dx.doi.org/10.47391/jpma.6450.

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A quasi-experimental study was conducted at the Aga Khan University, Karachi, Pakistan, to evaluate the outcomes of a series of workshops on 25 medical students’ statistical knowledge and acceptance of RStudio. The knowledge in each of the five sessions was assessed using pre- and post- knowledge-based quizzes. In addition, the Student's Attitude Towards Statistics (SATS-36) and the Technology Acceptance Model were used. Data analysis on RStudio revealed a statistically significant improvement in knowledge in all five sessions (p<0.05). SATS-36 showed statistically significant improvement in Cognitive Competence (p<0.001). RStudio had commendable acceptance with relatively high scores of Attitudes (behavioural intention, median = 6.00 [5.20-7.00]) and Utility (perceived usefulness, median = 5.20 [4.10-6.20]). In conclusion, medical students had improved statistical knowledge and acceptance towards the novel statistical tool. Hence, further studies must evaluate the effectiveness of RStudio when integrated as part of the medical curriculum. Keywords: RStudio; Technology acceptance; Peer learning; Statistics.

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Mioduchowska-Jaroszewicz, Edyta. "The Evaluation of Financial Standing of Medical Institutions in Poland." Engineering Management in Production and Services 9, no. 2 (June 27, 2017): 44–56. http://dx.doi.org/10.1515/emj-2017-0013.

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AbstractThe aim of the article is to identify the criteria and methods for the evaluation of medical institutions. The article uses economic analysis, comparative analysis, and methods of descriptive statistics. The analysis of existing regulations, source materials, and the specific business character of health care entities indicates the need to evaluate these units with particular regard to the criteria such as costs, quality of assets (level of consumption, i.e., wear and tear and modernness), employment, financial liquidity or the level of debt. The results of the study are the basis for the evaluation of the healthcare sector. The value of the article is in showing the direction taken by the evaluation of the financial standing of entities. The ability to use specific criteria and methods of evaluation for health care entities in business practice.

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Shu, Y., A. Liu, and Z. Li. "Sequential evaluation of a medical diagnostic test with binary outcomes." Statistics in Medicine 26, no. 24 (2007): 4416–27. http://dx.doi.org/10.1002/sim.2881.

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BUTAREVA, M. M., A. A. MARTYNOV, and L. E. MELEKHINA. "Main trends of upgrading of medical statistics as a part of the healthcare system modernization." Vestnik dermatologii i venerologii 88, no. 4 (August 15, 2012): 4–8. http://dx.doi.org/10.25208/vdv689.

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Dwivedi, Alok Kumar, Indika Mallawaarachchi, Juan B. Figueroa-Casas, Angel M. Morales, and Patrick Tarwater. "MULTINOMIAL LOGISTIC REGRESSION APPROACH FOR THE EVALUATION OF BINARY DIAGNOSTIC TEST IN MEDICAL RESEARCH." Statistics in Transition. New Series 16, no. 2 (2015): 203–22. http://dx.doi.org/10.21307/stattrans-2015-011.

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Yu, Tinghui, Qin Li, Gerry Gray, and Lilly Q. Yue. "Statistical innovations in diagnostic device evaluation." Journal of Biopharmaceutical Statistics 26, no. 6 (August 19, 2016): 1067–77. http://dx.doi.org/10.1080/10543406.2016.1226332.

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Zhang, Meng-Zhuo, Zhongfeng Xu, Ying Han, and Weidong Guo. "An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison." Geoscientific Model Development 14, no. 5 (May 28, 2021): 3079–94. http://dx.doi.org/10.5194/gmd-14-3079-2021.

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Abstract. An evaluation of a model's overall performance in simulating multiple fields is fundamental to model intercomparison and development. A multivariable integrated evaluation (MVIE) method was proposed previously based on a vector field evaluation (VFE) diagram, which can provide quantitative and comprehensive evaluation on multiple fields. In this study, we make further improvements to this method from the following aspects. (1) We take area weighting into account in the definition of statistics in the VFE diagram and MVIE method, which is particularly important for a global evaluation. (2) We consider the combination of multiple scalar fields and vector fields against multiple scalar fields alone in the previous MVIE method. (3) A multivariable integrated skill score (MISS) is proposed as a flexible index to measure a model's ability to simulate multiple fields. Compared with the multivariable integrated evaluation index (MIEI) proposed in the previous study, MISS is a normalized index that can adjust the relative importance of different aspects of model performance. (4) A simple-to-use and straightforward tool, the Multivariable Integrated Evaluation Tool (MVIETool version 1.0), is developed to facilitate an intercomparison of the performance of various models. Users can use the tool coded either with the open-source NCAR Command Language (NCL) or Python3 to calculate the MVIE statistics and plotting. With the support of this tool, one can easily evaluate model performance in terms of each individual variable and/or multiple variables.

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MA, T., H. ENGLUND, P. BJELKMAR, A. WALLENSTEN, and A. HULTH. "Syndromic surveillance of influenza activity in Sweden: an evaluation of three tools." Epidemiology and Infection 143, no. 11 (December 4, 2014): 2390–98. http://dx.doi.org/10.1017/s0950268814003240.

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SUMMARYAn evaluation was conducted to determine which syndromic surveillance tools complement traditional surveillance by serving as earlier indicators of influenza activity in Sweden. Web queries, medical hotline statistics, and school absenteeism data were evaluated against two traditional surveillance tools. Cross-correlation calculations utilized aggregated weekly data for all-age, nationwide activity for four influenza seasons, from 2009/2010 to 2012/2013. The surveillance tool indicative of earlier influenza activity, by way of statistical and visual evidence, was identified. The web query algorithm and medical hotline statistics performed equally well as each other and to the traditional surveillance tools. School absenteeism data were not reliable resources for influenza surveillance. Overall, the syndromic surveillance tools did not perform with enough consistency in season lead nor in earlier timing of the peak week to be considered as early indicators. They do, however, capture incident cases before they have formally entered the primary healthcare system.

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Burichenko, M., and O. Ivanets. "Approach to Evaluation of Quality of Medical Services." Metrology and instruments, no. 3 (July 3, 2019): 41–45. http://dx.doi.org/10.33955/2307-2180(3)2019.41-45.

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The method of estimation of quality of medical services on the basis of qualimetry depending on subjects of estimation is offered. Subjects evaluated are divided into three groups. For each group, quality indicators are defined that characterize the needs of each group. The evaluators comprise the needs of patients, the management of the medical institution and the state authorities. For each subject, a mathematical equation based on multiparametric regression is developed. The peculiarity of each equation is to take into account the factors influencing the quality of medical services of this particular group. Qualimetric method is used for quantitative assessment of the quality of medical services. The method is based on a set of multiparameter linear regression equations that allow to take into account and analyze the influence of various factors on the quality of medical services, depending on the subjects of evaluation. On the basis of processed statistics, the coefficients for each group were determined. We have checked each regression model for Fisher’s criterion adequacy. Proposed and tested model equations have become the basis for developing a methodology for assessing the quality of medical services. The proposed approach to the assessment of the quality of health services provides an opportunity to quantify the quality of the provision of medical services to consumers in a specific medical institution for different groups of subjects. But it can serve as a means of regulating the quality of healthcare provision by healthcare providers. The proposed approach allows identifying the risks that affect the quality of services. In the case of unsatisfactory quality of these services, based on the proposed approach, identify a group that does not meet the quality requirements and develop measures to address identified deficiencies as required by the international standard.

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Cunniff, Christopher, Janet L. Carmack, Russell S. Kirby, and Debra H. Fiser. "Contribution of Heritable Disorders to Mortality in the Pediatric Intensive Care Unit." Pediatrics 95, no. 5 (May 1, 1995): 678–81. http://dx.doi.org/10.1542/peds.95.5.678.

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Objectives. To determine the percentage of patients dying in the pediatric intensive care unit (PICU) who have heritable disorders and to compare vital statistics classification of underlying cause of death with underlying heritable disorder identified from medical record review. Design. Retrospective medical record review. Setting. The PICU of a university-affiliated hospital. Methods. Medical records were reviewed for all deaths occurring in the PICA over a 5-year period. Further review, including hospital course, clinical findings, and the presence or absence of a genetic evaluation, was accomplished for those patients found to have a chromosome abnormality, recognized syndrome, single major malformation, or unrecognized syndrome. Underlying cause of death classification obtained from the Center for Health Statistics, Arkansas Department of Health was reviewed to determine the frequency with which the underlying heritable disorder was recorded. Results. Fifty-one of 268 (19%) deaths during the study period were in patients with heritable disorders. Of these 51 patients, eight (16%) had chromosome abnormalities, 17 (33%) had a recognized syndrome, 15 (29%) had a single primary defect in development, and 11 (22%) had an unrecognized syndrome. Genetic evaluation was carried out on 45% of patients, with the frequency of evaluation differing between categories of patients with heritable conditions. When underlying cause of death from vital statistics classification was reviewed, 21 of 51 (41%) records did not include the underlying heritable disorder. Conclusions. Heritable disorders are a frequent cause of mortality in the PICU. Vital statistics classification of underlying cause of death in this population often fails to identify heritable disorders, leading to an underascertainment of these conditions in mortality statistics. Improved cause of death classification procedures will be necessary to target public health interventions to etiology-specific populations.

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Astuti, Cindy Cahyaning, Akbar Wiguna, Fitri Nur Latifa, and Amaydhi Olvyya. "DEVELOPMENT OF ANDROID-BASED “MBARENGI” STATISTICS E-MODULE AS AN INNOVATION FOR STATISTICS LEARNING MEDIA WITH HYBRID LEARNING." BAREKENG: Jurnal Ilmu Matematika dan Terapan 16, no. 2 (June 1, 2022): 515–24. http://dx.doi.org/10.30598/barekengvol16iss2pp515-524.

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The learning process is closely related to the interaction between educators and students. In order to facilitate the learning process, educators are required to make learning more innovative in order to be able to encourage students to study hard and be able to follow the learning process well. One of the innovations that can be done in the learning process is innovation in learning media. Learning media is one of the components of learning that has an important role in teaching and learning activities, especially in the transition after the Covid 19 pandemic. The use of smartphones can be one of the innovations of learning media by using Android-based e-modules. This research is development research or called Research and Development (R&D) using the ADDIE development model (Analyze, Design, development, Implementation, and Evaluation). The Android-based "MBARENGI" Statistics E-Module was validated by material experts, learning media experts, and tested on a limited scale sample. The results of the validation of material experts on the aspect of content material are 91.5% and on the language aspect are 93.2%. The results of media expert validation on the aspect of content quality are 92.3%, on design and audio aspects are 94.4% and the interaction and feedback aspects are 92.3%. In the test results, student responses obtained an average result are 88.8% which stated that the Android-based "MBARENGI" Statistics E-Module was feasible to be used in the learning process.

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Ammann, Roland A. "Book Review: The statistical evaluation of medical tests for classification and prediction." Statistical Methods in Medical Research 13, no. 4 (August 2004): 341–42. http://dx.doi.org/10.1177/096228020401300409.

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Zabolotna, I. E., and L. V. Yaschenko. "Obesity and overweight among children, diagnostic criteria and statistics of prevalence." Клінічна та профілактична медицина 2, no. 8 (August 22, 2019): 36–46. http://dx.doi.org/10.31612/2616-4868.2(8).2019.04.

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Objective: to conduct an analysis and synthesis of scientific literature and modern recommendations regarding the criteria for diagnosing overweight and obesity in children, international and national statistical databaseson the prevalence of overweight among children,legalactson the diagnosis of obesity and the detection of overweight in children in Ukraine. Methods. bibliosemantic, epidemiological, contentanalysis. Results. The international statistical data bases,results of the cross-national studies of WHO, current recommendations and strategies of prevention of obesity of children have been studied. According to the data of the official branch statistics the current scope of spreading of obesity among children’s population of Ukraine. The analysis of the normative documents regulating the order of organization and main components of the obligatory preventive medical examinations of children in Ukraine, the scheme of their periodicity, criteria of evaluation of physical development of children and record of results of medical examination of a child with evaluation of his/ her physical condition have been conducted. Figured out the disadvantages of the existing system of prevention of obesity of children: discrepancies between branchstandardsthatregulateapproachestotheevaluationofharmonyofphysicaldevelopmentofachildanddocumentsthatregulatestoringofresultsofthepreventivemedicalexaminations of children which is the reason for absence of statistics of obesity of children in Ukraine; lowlevel of diagnostics of obesity of children and identification of the excessbody weight that is conditioned by the lowlevel of knowledge a mongprimary medical caredoctors, providing medical careto children,of indicators of excess body weight of children. Conclusions. A conceptual solution to this problem can be achieved by organizing a continuous, systematic process of detection and registration of children with overweight and obesity, analysis of the environment where the child is from the standpoint of social characteristics and behavioral characteristics.

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Ankem, Kalyani. "Evaluation of method in systematic reviews and meta-analyses published in LIS." Library and Information Research 32, no. 101 (September 11, 2008): 91–104. http://dx.doi.org/10.29173/lirg58.

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The objective of the research was to evaluate systematic reviews and meta-analyses appearing in library and information science (LIS) literature. LIS databases were searched to find systematic reviews and meta-analyses published during 1996 - 2006 in LIS journals. Seven systematic reviews and five meta-analyses were selected and methods applied (identification of studies, inclusion/exclusion criteria, quality assessment, data extraction, and synthesis) were reviewed. The evaluation indicates that all systematic reviews in LIS have been published on medical library or medical information topics. Searching conducted to identify studies for systematic reviews and meta-analyses is comprehensive. Inclusion/exclusion criteria and quality standards established in systematic reviews and meta-analyses are well developed; however, in most systematic reviews, the analysis is limited to percentages rather than inferential statistics. Analysis based on inferential statistics in systematic reviews will further improve the reviews. The meta-analyses published in LIS illustrate different approaches to conducting the synthesis.

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Ryan, Patrick. "Statistical challenges in systematic evidence generation through analysis of observational healthcare data networks." Statistical Methods in Medical Research 22, no. 1 (February 2013): 3–6. http://dx.doi.org/10.1177/0962280211403601.

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Observational healthcare databases offer significant potential for generating evidence about the effects of medical products. Recent US and international efforts attempt to coordinate analysis activities across observational data networks for active drug safety surveillance and comparative effectiveness research. Several statistical challenges exist that require further research to inform the appropriate use of observational data for identifying and evaluating temporal relationships between medical product exposures and outcomes. This review highlights current work across the areas of data quality, methods development, and performance evaluation that promise to contribute to our understanding of best practices for observational analyses moving forward.

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Kovtun, Olga P., Nadezhda S. Davydova, Rustam F. Mukhametshin, and Andrew A. Kurganski. "Medical evacuation of non-transportable newborns after re-evaluation." Russian Journal of Pediatric Surgery, Anesthesia and Intensive Care 12, no. 2 (July 24, 2022): 167–76. http://dx.doi.org/10.17816/psaic1046.

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BACKGROUND: Early admission or birth in a high-level neonatal care facility is associated with lower morbidity in preterm infants. Assessment of transportability remains a problem of the pre-transport evaluation. The literature data lacks the possibility of subsequent evacuation of patients recognized as non-transportable at the first examination. AIM: This study compares intensive care during the first and second examinations of patients recognized as non-transportable and evacuated after re-departure. MATERIALS AND METHODS: The cohort study included data from patients recognized as non-transportable at the first examination and evacuated after the second examination (18 patients). Comparison of intensive care, assessments by scales, correction of intensive care by the transport team during the first and repeated examinations of the patient was performed. Descriptive statistics methods, Wilcoxons test, and McNemars test were applied. RESULTS: Patients evacuated on the second attempt had a birth weight of less than 1500 grams. The median birth weight was 1125 [7403240] grams. The patients were reliably more often on traditional mechanical ventilation and less on high-frequency ventilation at the second examination. The infusion of adrenaline and prostaglandins was more often performed. The average number of corrective actions per patient at the first examination was 1.33 (SD 0.77), at the second examination 0.5 (SD 0.62), p = 0.003. During the first attempt at evacuation, patients significantly more often required the administration or correction of the catecholamine dose, tracheal reintubation, and blood transfusion. CONCLUSION: The data obtained indicate the inadequacy of the therapy performed before the arrival of the transport team contributes to the decision on the patients non-transportability.

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Cafri, Guy. "Sparsely clustered survival data: application to the evaluation of the safety and effectiveness of medical devices." Journal of Applied Statistics 43, no. 16 (April 21, 2016): 3004–14. http://dx.doi.org/10.1080/02664763.2016.1157143.

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Verbeeck, Johan, Brice Ozenne, and William N. Anderson. "Evaluation of inferential methods for the net benefit and win ratio statistics." Journal of Biopharmaceutical Statistics 30, no. 5 (February 25, 2020): 765–82. http://dx.doi.org/10.1080/10543406.2020.1730873.

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Parker, Janet, and Connie Carroll Widmer. "Teaching Mathematics with Technology: Statistics and Graphing." Arithmetic Teacher 39, no. 8 (April 1992): 48–52. http://dx.doi.org/10.5951/at.39.8.0048.

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A goal stated throughout the Curriculum and Evaluation Standards (NCTM 1989) is that all students be able to use mathematics to understand and interpret situations they encounter in the world around them. In this world, the proliferating use of computers has made statistics and graphs essential tools not just for students but for all of us. Every day we are deluged with statistical data generated by the computers used in all areas of society: political polls give us prevalent opinions on major issues; medical studies tell us the safety of new drugs; test scores indicate how our schools compare with the “average.” Often, capsules of the data are given as a graph; being able to interpret these graphs, to distinguish biased messages from reliable reporting, and even to create graphs to analyze data have become essential skills in our technological society.

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Knisely, Benjamin M., Camille Levine, Kush C. Kharod, and Monifa Vaughn-Cooke. "An Analysis of FDA Adverse Event Reporting Data for Trends in Medical Device Use Error." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 9, no. 1 (September 2020): 130–34. http://dx.doi.org/10.1177/2327857920091024.

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Humans can contribute to error at all stages of the medical device product life-cycle. Use error associated with medical devices can result in catastrophic consequences for end users and inefficient use of healthcare system resources. Industry-wide statistics about medical device use error has the potential to aid in identifying opportunities for human factors intervention, however publicly available statistics are sparse. The Food and Drug Administration (FDA) requires medical device manufactures, importers, and device user facilities to track and report adverse events for post-market surveillance through medical device reports (MDRs). This data is available in an online database: Manufacturer and User Facility Experience (MAUDE). This study provides a comprehensive evaluation of use error adverse events in MAUDE (2010-2018) based on device class, device operator, and event outcome, to address the lack of industry-wide statistics on medical device use error. Results indicate that use error is significantly represented in adverse event reporting, constituting 28.1% of reports labeled with device problem codes. Events associated with patient device operators were predominately associated with diabetes-related medical devices, while provider operators were associated with a wider array of devices. Additionally, it was found that most use error reports were attributed to issues with device output; using the device in accordance with manufacturer expectations; and physically activating, positioning, or separating device components. This work demonstrates the viability of using MAUDE to attain industry wide statistics on medical device use error for later integration in industry-wide or device-specific risk mitigation strategies.

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Dickson, Hugh G. "Measurement in Rehabilitation — Lies, damned lies and statistics." Australian Journal of Rehabilitation Counselling 5, no. 2 (1999): 62–68. http://dx.doi.org/10.1017/s132389220000106x.

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Measurement in Rehabilitation Medicine commences with clear definitions of the terms used and clear ideas about the nature of the entity being measured. In this lecture, issues such as goal based measurement, the difficulties of comparison, weighting systems, different types of scales, and the mathematical problems they present are discussed. Scales discussed include the American Medical Association Guides to the Evaluation of Permanent Impairment, and the Functional Independence Measure (FIM). Caution is necessary when drawing conclusions from statistics generated from ordinal scales, especially when comparisons are being made. The Australasian Faculty of Rehabilitation Medicine supports the use of standard measures and has developed an Australian Standard Data Set for Rehabilitation Medicine. The functional measure used in this data set is the FIM.

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Li, Xuefeng, and Yunling Xu. "Guest Editors' Note: Bayesian Approaches for Medical Product Evaluation—Today and Tomorrow." Journal of Biopharmaceutical Statistics 21, no. 5 (August 10, 2011): 869–70. http://dx.doi.org/10.1080/10543406.2012.589291.

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Cao, Hongyuan, Lisa M. LaVange, Joseph F. Heyse, T. Christopher Mast, and Michael R. Kosorok. "Medical Records-Based Postmarketing Safety Evaluation of Rare Events with Uncertain Status." Journal of Biopharmaceutical Statistics 23, no. 4 (June 20, 2013): 744–55. http://dx.doi.org/10.1080/10543406.2013.789886.

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Elfaki, Omer A., and Abdulaziz A. Alamri. "Evaluation of student assessment practices in a medical college." International Journal of Research in Medical Sciences 5, no. 11 (October 27, 2017): 5048. http://dx.doi.org/10.18203/2320-6012.ijrms20174968.

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Background: The importance of students’ assessment and its role in driving students learning are well recognized. Guidelines for good assessment practice have been developed. The GMC issued important recommendations related to assessment of students’ performance to be followed by medical schools in UK. The Liaison Committee on Medical Education (LCME) developed standards emphasizing the importance of documenting students’ performance. The utility concept of an assessment tool had been proposed by Van der Vleuten stating a number of weighted criteria. Assessment of clinical competence was proposed to be well covered by the model of Miller. No single method of assessment can be recommended to be appropriate for all assessment purposes and all domains of competence. Therefore, multiple methods of assessment are required.Methods: There are 35 courses included in the MBBS program in the college of medicine, KKU. these are taught over five years in addition to a preparatory year and the internship year. the curriculum can still be described as discipline based. a survey was planned to study the current assessment situation. this is a cross-sectional descriptive study. the data collection methods used were survey and study of the documents of the courses. an online questionnaire was developed. the responses were analyzed using descriptive statistics to determine frequencies, averages and percentages. the study was conducted during the period January-May 2014.Results: Twenty course coordinators responded to the survey (57%). Eleven of the courses covered were basic and nine were clinical. Multiple tests as well as multiple methods of continuous assessment were used in the courses studied. Some of the methods used for summative assessment are no longer recommended in current assessment practices in medical education. Real OSCE was used only in one clinical course. Standard setting methods were not used and a fixed pass mark was used instead.Conclusions: Important shortcomings in student assessment system in many of the courses studied were identified. Less educationally desirable assessment methods and practices are still used in some courses such as unattended single long case examination. More attention should be given to technical aspects of assessment.

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Schweiger, C. R., G. Soeregi, S. Spitzauer, G. Maenner, and A. L. Pohl. "Evaluation of laboratory data by conventional statistics and by three types of neural networks." Clinical Chemistry 39, no. 9 (September 1, 1993): 1966–71. http://dx.doi.org/10.1093/clinchem/39.9.1966.

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Abstract Sixty-three patients with lung (34 small-cell, 18 squamous, 11 adeno-) carcinomas and 43 patients with benign lung diseases were characterized with seven tumor markers: neuron-specific enolase (NSE); cancer antigens CA 19-9, CA 125, CA 15-3, and CA 50; carcinoembryonic antigen (CEA); and tissue polypeptide antigen. Diagnosis had been established by histological examination after surgery and used for classification. After vector transformation, the tumor marker data were fed into neural networks (NNs) based on three different types of learning algorithms: backpropagation (BP), competitive learning (CL), and Hopfield (H). For comparison, the data were evaluated with multivariate stepwise discriminant analysis (MVSDA). BP-NNs are equal to (NSE, CA 19-9, CEA) or better than (100% correct classification when using all seven markers) MVSDA in assigning the correct diagnosis to the patients. Cross-validation data yielded shrinkage effects ranging from 0% to 12.5%. Quality-control (QC) data were evaluated by traditional QC algorithms and compared with the results obtained by a BP-NN. The results show that the BP-NNs could only partly fulfill the tasks of three QC algorithms regarding the violation of static borders but gave good results with respect to dynamic changes.

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Rosenthal, Marc, and Robert Dunne. "Hurricane Sandy - Initial Evaluation of Patient Characteristics." Prehospital and Disaster Medicine 34, s1 (May 2019): s7. http://dx.doi.org/10.1017/s1049023x19000347.

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Introduction:Disaster medical team response by governmental and non-governmental responders is highly variable and poorly characterized. Each response is unique in terms of caseload, patient demographics, and medical needs encountered. This variability increases the difficulty of determining team member composition as well as supply and equipment needs. In an effort to demonstrate this issue, we have reviewed the National Disaster Medical Response to Hurricane Sandy.Methods:This project was a retrospective chart review of Hurricane Sandy data abstracted from the National Disaster Medical System (NDMS) Health Information Repository (HIR) medical records from the NDMS system response, and were abstracted for data including vital signs, ages, sex, chief complaint, and final impressions. In addition, length of stay among other parameters was abstracted. The data was analyzed using Microsoft Excel and Access with descriptive statistics. In addition, the results were compared to similar indices in a community emergency department and prior NDMS responses.Results:The results indicate a wide range of patient ages, chief complaints, and final impressions. The vast majority of patients seen by Disaster Medical Assistance Teams (DMAT) were stable with relatively low acuity issues. The total number of charts reviewed were 7,905. Respiratory complaints were the most frequent at 845 patients followed by toxicology/injuries at 706 patients and mental health issues at 452 patients. In approximately 3,400 patients, no diagnosis was present in the chart. Length of stay averaged below 1 hour and peak patient ages were between 50-60 with a significant number of infants less than 2 years.Discussion:Characterization of NDMS responses by DMATs and comparison with prior events and community emergency department caseloads can provide an insight into the needs of DMATs and other response organizations in future responses.

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Robinson, Derek. "The Statistical Evaluation of Medical Tests for Classification and Prediction by M. Sullivan Pepe." Journal of the Royal Statistical Society: Series A (Statistics in Society) 169, no. 3 (July 2006): 656. http://dx.doi.org/10.1111/j.1467-985x.2006.00430_9.x.

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Zhang, Tao, Shizheng Li, and Jin Wang. "Evaluation of the development ability of medical association based on evidential reasoning and prospect theory." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 137–54. http://dx.doi.org/10.3233/jifs-200883.

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China has proposed medical couplet body to alleviate residents’ difficulties in seeking medical treatment, and the future development ability of medical couplet body has gradually become a research interest. On the basis of prospect theory, this study constructs a comprehensive evaluation index system with qualitative and quantitative indexes, clear hierarchy, and diverse attribute characteristics. The development ability of medical couplet body is also comprehensively and systematically evaluated. In addition, the evidential reasoning method is proposed on the basis of the equivalent transformation of prospect value. Furthermore, the validity and feasibility of the model are proven through experiments, and the influence of decision makers’ risk attitude on the evaluation results is discussed.

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Bolboacă, Sorana D. "Medical Diagnostic Tests: A Review of Test Anatomy, Phases, and Statistical Treatment of Data." Computational and Mathematical Methods in Medicine 2019 (May 28, 2019): 1–22. http://dx.doi.org/10.1155/2019/1891569.

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Diagnostic tests are approaches used in clinical practice to identify with high accuracy the disease of a particular patient and thus to provide early and proper treatment. Reporting high-quality results of diagnostic tests, for both basic and advanced methods, is solely the responsibility of the authors. Despite the existence of recommendation and standards regarding the content or format of statistical aspects, the quality of what and how the statistic is reported when a diagnostic test is assessed varied from excellent to very poor. This article briefly reviews the steps in the evaluation of a diagnostic test from the anatomy, to the role in clinical practice, and to the statistical methods used to show their performances. The statistical approaches are linked with the phase, clinical question, and objective and are accompanied by examples. More details are provided for phase I and II studies while the statistical treatment of phase III and IV is just briefly presented. Several free online resources useful in the calculation of some statistics are also given.

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Samolsky Dekel, Boaz Gedaliahu, Alberto Gori, Alessio Vasarri, Maria Cristina Sorella, Gianfranco Di Nino, and Rita Maria Melotti. "Medical Evidence Influence on Inpatients and Nurses Pain Ratings Agreement." Pain Research and Management 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/9267536.

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Biased pain evaluation due to automated heuristics driven by symptom uncertainty may undermine pain treatment; medical evidence moderators are thought to play a role in such circumstances. We explored, in this cross-sectional survey, the effect of such moderators (e.g., nurse awareness of patients’ pain experience and treatment) on the agreement betweenn=862inpatients’ self-reported pain andn=115nurses’ pain ratings using a numerical rating scale. We assessed the mean of absolute difference, agreement (κ-statistics), and correlation (Spearman rank) of inpatients and nurses’ pain ratings and analyzed congruence categories’ (CCs: underestimation, congruence, and overestimation) proportions and dependence upon pain categories for each medical evidence moderator (χ2analysis). Pain ratings agreement and correlation were limited; the CCs proportions were further modulated by the studied moderators. Medical evidence promoted in nurses overestimation of low and underestimation of high inpatients’ self-reported pain. Knowledge of the negative influence of automated heuristics driven by symptoms uncertainty and medical-evidence moderators on pain evaluation may render pain assessment more accurate.

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Ahmed, Gazi Ikhtiar, Md Maruf Hasan Zaman, Md Abdulla Hil Kafi, Nahidul Islam, and Syed Atiqur Rahman. "An Evaluation of Medical Record Keeping Status to Assess Health Care Facilities for Hospitalized Patients In A Tertiary Care Hospital." KYAMC Journal 13, no. 2 (September 5, 2022): 81–85. http://dx.doi.org/10.3329/kyamcj.v13i2.61336.

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Background: A patient’s medical record should provide accurate information on who the patient is and who provided health care; what, when, why and how services were provided; and the outcome of care and treatment. Objectives: The study was conducted with the objective of revealing the condition of medical audit of the inpatient department in Rangpur medical college hospital in short duration of time. Materials and Methods: A cross-sectional descriptive study was done in inpatient department in Rangpur Medical College & Hospital. This was carried out on 160 medical documents, interview with providers, record of hospital statistics & personal observation on physical facilities in indoor at the time of the study to find out in what extend medical record exist in patient service. Results: In inpatient department of Hospital, the generation and location of the form in all wards were inpatient, administrative office & type of the forms were mixed pattern. There was no electronic record system in the medicine department. They consisted of forms, sheet & register khata. Medical records were not filled of in most of the cases. A hundred and sixty records were checked where most of the components were not filled up completely (above 30% not filled up). The recording of hospital statistics were satisfactory and maintained regularly in the inpatient department. Conclusion: The standard of documentation by providers in inpatient medical records was found to be acceptable, with improvements required in a number of specific items. KYAMC Journal Vol. 13, No. 02, July 2022: 81-85

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Woersching, Alex L., Matthew E. Borrego, and Dennis W. Raisch. "Assessing the Quality of Economic Evaluations of FDA Novel Drug Approvals." Annals of Pharmacotherapy 50, no. 12 (August 11, 2016): 1028–40. http://dx.doi.org/10.1177/1060028016662893.

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Objective: To systematically review and assess the quality of the novel drugs’ economic evaluation literature in print during the drugs’ early commercial availability following US regulatory approval. Data Sources: MEDLINE and the United Kingdom National Health Service Economic Evaluation Database were searched from 1946 through December 2011 for economic evaluations of the 50 novel drugs approved by the FDA in 2008 and 2009. Study Selection and Data Extraction: The inclusion criteria were English-language, peer-reviewed, original economic evaluations (cost-utility, cost-effectiveness, cost-minimization, and cost-benefit analyses). We extracted and analyzed data from 36 articles considering 19 of the 50 drugs. Two reviewers assessed each publication’s quality using the Quality of Health Economic Studies (QHES) instrument and summarized study quality on a 100-point scale. Data Synthesis: Study quality had a mean of 70.0 ± 16.2 QHES points. The only study characteristics associated with QHES score (with P < 0.05) were having used modeling or advanced statistics, 75.1 versus 61.9 without; using quality-adjusted life years as an outcome, 75.9 versus 64.7 without; and cost-utility versus cost-minimization analysis, 75.9 versus 58.7. Studies most often satisfied quality aspects about stating study design choices and least often satisfied aspects about justifying design choices. Conclusion: The reviewed literature considered a minority of the 2008-2009 novel drugs and had mixed study quality. Cost-effectiveness stakeholders might benefit from efforts to improve the quality and quantity of literature examining novel drugs. Editors and reviewers may support quality improvement by stringently imposing economic evaluation guidelines about justifying study design choices.

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Son, Le Hoang, and Pham Hong Phong. "On the performance evaluation of intuitionistic vector similarity measures for medical diagnosis1." Journal of Intelligent & Fuzzy Systems 31, no. 3 (August 13, 2016): 1597–608. http://dx.doi.org/10.3233/jifs-151654.

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Lin, Carol Y., Huiman X. Barnhart, and Andrzej S. Kosinski. "The Weighted Generalized Estimating Equations Approach for the Evaluation of Medical Diagnostic Test at Subunit Level." Biometrical Journal 48, no. 5 (October 2006): 758–71. http://dx.doi.org/10.1002/bimj.200510199.

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Ahn, Chul, Sin-Ho Jung, and Seung-Ho Kang. "An Evaluation of Weighted Chi-Square Statistics for Clustered Binary Data." Drug Information Journal 37, no. 1 (January 2003): 91–99. http://dx.doi.org/10.1177/009286150303700111.

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Fiks, D. О. "The results of the assessment of the condition at the time of admission to the hospital, the functional result at the time of discharge and planning of the outpatient stage in stroke patients according to the register of hospitals in Vinnytsia for 2017-20." Reports of Vinnytsia National Medical University 24, no. 1 (May 18, 2020): 175–84. http://dx.doi.org/10.31393/reports-vnmedical-2020-24(1)-33.

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Annotation. Improving approaches to the diagnosis, treatment and rehabilitation of stroke is a priority, as this disease is not only a medical but also a social problem. The purpose of the work is to assess the dynamics of the indicators at the time of admission to the hospital, the functional result at the time of discharge and planning of the outpatient stage in stroke patients of hospitals in Vinnytsia for the period 2017–2019. The stroke register is formed on the basis of medical documentation of medical institutions, which are the most typical for this region of Ukraine. Statistical processing of the results was performed using the licensed statistical package “Statistica 5.5” using parametric evaluation methods. Significant differences in the indicators of the effectiveness of the organization of medical care for stroke at the pre-hospital and hospital stage between the two medical institutions of Vinnytsia, as well as in the dynamics of observation time. The positive and negative aspects of medical and diagnostic work of these hospitals are analyzed. A number of factors influencing the success of treatment outcome and comprehensive rehabilitation of stroke patients are analyzed. Modern views on the problem of analysis of clinical data using the method of register and medical statistics are presented.

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Mazloum khorasani, Zahra, Mahmood Tara, Kobra Etminani, Zohre Moosavi, and Zahra Ebnehoseini. "QUANTITATIVE EVALUATION OF MEDICAL RECORD DOCUMENTATION IN IMAM REZA HOSPITAL, MASHHAD, IRAN." Medical Technologies Journal 1, no. 4 (November 29, 2017): 98–99. http://dx.doi.org/10.26415/2572-004x-vol1iss4p98-99.

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Introduction: Diabetes is the most common endocrine disease. Given the importance of medical record documentation for diabetic patients and its significant impact on accurate treatment process, as well as early diagnosis and treatment of acute and chronic complications, this study aimed to qualitatively evaluate medical record documentation of diabetic patients. Methods: This descriptive and cross-sectional study was conducted on all medical records of diabetic patients (1200 cases) in the comprehensive Diabetes Center of Imam Reza Hospital. A checklist was prepared according to the main sectors and their sub-data elements to conduct a qualitative evaluation on documentation of medical records of diabetic patients. Descriptive statistics were used to report the results. Results: In this study, 1200 (710 women and 490 men) cases were evaluated. Mean documentation of main sectors of diabetic patients’ records were as follows: 49% demographic characteristics, 14% patient referral, 4% diagnosis, 50% lab tests, 25% diabetes medications,13% nephropathy screening test, 10% diabetic neuropathy, 41% specialty and subspecialty consultations and internal medicine physicians visits did not complete for all the patients. Conclusion: According to the results of this study, qualitative evaluation of medical record documentation of diabetic patients Showed poor documentation in this regard. It is suggested that results of this study be accessible to physicians of healthcare centers to take a positive step toward improved documentation of medical records. In addition, it seems necessary to modify diabetic medical records.

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Yue, Lilly Q., Gregory Campbell, Nelson Lu, Yunling Xu, and Bram Zuckerman. "Utilizing national and international registries to enhance pre-market medical device regulatory evaluation." Journal of Biopharmaceutical Statistics 26, no. 6 (August 19, 2016): 1136–45. http://dx.doi.org/10.1080/10543406.2016.1226336.

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Konda, Vijaya Chandra Reddy, G. Bhanu Prakash, K. R. Subash, and K. Umamaheswara Rao. "Second year medical students’ feedback on teaching-learning methodologies and evaluation methods in Pharmacology: a questionnaire based study." International Journal of Basic & Clinical Pharmacology 6, no. 6 (May 23, 2017): 1311. http://dx.doi.org/10.18203/2319-2003.ijbcp20172082.

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Background: Pharmacology enables medical students with the art of rational prescriptions of drugs. It is one of the rapidly evolving subjects in medical sciences. The purpose of the study was to assess whether teaching-learning methodologies and evaluation methods are supporting the curriculum goals and what modifications can be made for the benefit of medical students.Methods: After approval by the Institutional Ethics Committee the study was carried out in January-February 2017. A total of 128 students of 2nd MBBS were administered a pre-validated questionnaire after explaining the purpose of the study. Descriptive statistics were used for analysis of data. Frequency was expressed as percentage.Results: A total response rate of 93.75% was observed. Most of the students mentioned cardiovascular system (20.8%) as the most interesting topic. 78.3% preferred teaching by use of combination of both audio-visual aids and chalk and board. Majority of the students rated practical classes as similar to theory (34.2%). 91.7% students mentioned that seminars are useful to them. 95% of students are interested in continuation of the integrated classes conducted at the end of each chapter. 98.3% of students for written tests and 90% for viva voce responded positively for the need of such periodic evaluation in addition to university prescribed evaluations. 95% students mentioned that field visits helps them in better understanding of pharmacology.Conclusions: The present study helped us to elicit student preferences regarding teaching and evaluation methods in pharmacology. Implementation of the same would be helpful for better outcome of students.

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Yarigina, M. V., P. F. Kiku, and A. V. Reshetnikov. "The medical sociological evaluation of population health in ecological bio-climatic conditions of the Primorskii Kraii." Sociology of Medicine 15, no. 1 (December 15, 2016): 19–24. http://dx.doi.org/10.17816/1728-2810-2016-15-1-19-24.

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The article presents the results of medical sociological evaluation of population health in ecological bio-climatic conditions of the Primorskii Kraii. The purpose of study is to establish patterns of formation of population health exemplified by three systems of organism (respiratory organs, urogenital system, skin). The questionnaire technique was applied to study impact of factors of life-style, diet behavior, skin and urogenital system according official statistics data F12 in 2007-2011. The technique of such multi-dimensional analysis as P.V. Terentiev correlation pleiades was applied. The medical sociological study established input of social factors in formation of population health in the ecological bio-climatic conditions of the Primorskii Kraii. The results of study permit determining main directions of medical activities and to develop address programs of prevention.

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Walsh, Vonda K., and H. Francis Bush. "Crib Work - An Evaluation Of A Problem-Based Learning Experiment: Preliminary Results." Contemporary Issues in Education Research (CIER) 6, no. 4 (September 29, 2013): 385. http://dx.doi.org/10.19030/cier.v6i4.8106.

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Problem-based learning has been proven to be successful in both medical colleges and physics classes, but not uniformly across all disciplines. A college course in probability and statistics was used as a setting to test the effectiveness of problem-based learning when applied to homework. This paper compares the performances of the students from two classes and attempts to draw inferences as to the overall benefits and effectiveness of changing the process by which the students earned their homework grade.

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Jiang, Rong, Yang Xin, Huiping Cheng, and Wenxuan Wu. "T-RBAC Model Based on Two-Dimensional Dynamic Trust Evaluation under Medical Big Data." Wireless Communications and Mobile Computing 2021 (August 12, 2021): 1–17. http://dx.doi.org/10.1155/2021/9957214.

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The professionalism and complexity of medical big data and the expensiveness of acquiring medical knowledge make it difficult for policymakers to judge whether the information accessed by doctors is necessary from a professional perspective and to formulate accurate access control strategies. To solve the above problems, this paper proposes a T-RBAC (trust-role based access control) model based on two-dimensional dynamic trust assessment, Using AHP and Grey theory to quantify the role attribute trust in the dimension of the doctor’s own attributes, Using Euler’s measurement method and probability statistics to quantify doctors’ behavioral trust in the dimension of historical behavior, then, the trust rule base performs hierarchical authorization based on the comprehensive trust value obtained by the weighted average. Multiattribute trust comprehensive evaluation makes the access control model have finer access granularity and higher security. At the same time, the introduction of time decay function and penalty function enhances the model’s sensitivity, dynamics, and resistance to bleaching attacks.

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Grando, Adela, Jessica S. Ancker, Donghua Tao, Rachael Howe, Clare Coonan, Merida Johns, and Wendy Chapman. "Design and evaluation of a Women in American Medical Informatics Association (AMIA) leadership program." Journal of the American Medical Informatics Association 29, no. 1 (October 22, 2021): 163–70. http://dx.doi.org/10.1093/jamia/ocab232.

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Abstract The objective is to report on the design and evaluation of the inaugural Women in AMIA Leadership Program. A year-long leadership curriculum was developed. Survey responses were summarized with descriptive statistics and quotes selected. Twenty-four scholars participated in the program. There was a significant increase in perceived achievement of learning objectives after the program (P < .0001). The largest improvement was in leadership confidence and presence in work interactions (modal answer Neutral in presurvey from 21 responses rose to Agree in postsurvey from 24 responses). Most (92% of 13) scholars clarified leadership vision and goals and (83% of 18) would be Very Likely to recommend the program to others. The goals of the program—developing women’s leader identity, increasing networks, and accumulating experience for future programs—were achieved. The second leadership program is on its way in the United States and Australia. This study may benefit organizations seeking to develop leadership programs for women in informatics and digital health.

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Journal articles on the topic 'Medical statistics Evaluation'

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