scholarly journals A Systematic Review of Patient-Facing Visualizations of Personal Health Data

2019 ◽  
Vol 10 (04) ◽  
pp. 751-770
Author(s):  
Meghan Reading Turchioe ◽  
Annie Myers ◽  
Samuel Isaac ◽  
Dawon Baik ◽  
Lisa V. Grossman ◽  
...  

Abstract Objectives As personal health data are being returned to patients with increasing frequency and volume, visualizations are garnering excitement for their potential to facilitate patient interpretation. Evaluating these visualizations is important to ensure that patients are able to understand and, when appropriate, act upon health data in a safe and effective manner. The objective of this systematic review was to review and evaluate the state of the science of patient-facing visualizations of personal health data. Methods We searched five scholarly databases (PubMed, Embase, Scopus, ACM Digital Library [Association for Computing Machinery Digital Library], and IEEE Computational Index [Institute of Electrical and Electronics Engineers Computational Index]) through December 1, 2018 for relevant articles. We included English-language articles that developed or tested one or more patient-facing visualizations for personal health data. Three reviewers independently assessed quality of included articles using the Mixed methods Appraisal Tool. Characteristics of included articles and visualizations were extracted and synthesized. Results In 39 articles included in the review, there was heterogeneity in the sample sizes and methods for evaluation but not sample demographics. Few articles measured health literacy, numeracy, or graph literacy. Line graphs were the most common visualization, especially for longitudinal data, but number lines were used more frequently in included articles over past 5 years. Article findings suggested more patients understand the number lines and bar graphs compared with line graphs, and that color is effective at communicating risk, improving comprehension, and increasing confidence in interpretation. Conclusion In this review, we summarize types and components of patient-facing visualizations and methodologies for development and evaluation in the reviewed articles. We also identify recommendations for future work relating to collecting and reporting data, examining clinically actionable boundaries for diverse data types, and leveraging data science. This work will be critically important as patient access of their personal health data through portals and mobile devices continues to rise.

2020 ◽  
Author(s):  
Xia Jing

BACKGROUND Background: The unified medical language system (UMLS) has been a critical tool in biomedical and health informatics, and the year 2020 marks the 30th anniversary of UMLS. Despite its longevity, there is no systematic review on UMLS, in general. Thus, this systematic review was conducted to provide an overview of UMLS and its usage in English-language publications in the last 30 years. OBJECTIVE Objectives: The objective is twofold: to provide a comprehensive and systematic picture of the themes, their subtopics, and the publications under each category and to document systematic evidence of UMLS and how it has been used in English-language publications in the last 30 years. METHODS Methods: PubMed, ACM Digital Library, and Nursing & Allied Health Database were used to search for literature. The primary literature search strategy was as follows: UMLS was used as a MeSH term or a keyword or appeared in the title or abstract. Only English-language publications were considered. RESULTS Results: A total of 943 publications were included in the final analysis. After analysis and categorization of publications, UMLS was found to be used in the following emerging themes: natural language processing (NLP) (230 publications), information retrieval (125 publications), terminology study (90 publications), ontology and modeling (80 publications), medical subdomains (76 publications), other language studies (53 publications), artificial intelligence tools and applications (46 publications), patient care (35 publications), data mining and knowledge discovery (25 publications), medical education (20 publications), degree-related theses (13 publications), and digital library (5 publications) as well as UMLS itself (150 publications). CONCLUSIONS Conclusions: UMLS has been used and published successfully in patient care, medical education, digital libraries, and software development, as originally planned, as well as in degree-related theses, building artificial intelligence tools, data mining and knowledge discovery and more foundational work in methodology and middle layers that may lead to advanced products. NLP, UMLS itself, and information retrieval are the three themes with the most publications. The review provides systematic evidence of UMLS in English-language peer-reviewed publications in the last 30 years.


2020 ◽  
Author(s):  
Kurt D Shulver ◽  
Nicholas A Badcock

We report the results of a systematic review and meta-analysis investigating the relationship between perceptual anchoring and dyslexia. Our goal was to assess the direction and degree of effect between perceptual anchoring and reading ability in typical and atypical (dyslexic) readers. We performed a literature search of experiments explicitly assessing perceptual anchoring and reading ability using PsycInfo (Ovid, 1860 to 2020), MEDLINE (Ovid, 1860 to 2019), EMBASE (Ovid, 1883 to 2019), and PubMed for all available years up to June (2020). Our eligibility criteria consisted of English-language articles and, at minimum, one experimental group identified as dyslexic - either by reading assessment at the time, or by previous diagnosis. We assessed for risk of bias using an adapted version of the Newcastle-Ottawa scale. Six studies were included in this review, but only five (n = 280 participants) were included in the meta-analysis (we were unable to access the necessary data for one study).The overall effect was negative, large and statistically significant; g = -0.87, 95% CI [-1.47, 0.27]: a negative effect size indicating less perceptual anchoring in dyslexic versus non-dyslexic groups. Visual assessment of funnel plot and Egger’s test suggest minimal bias but with significant heterogeneity; Q (4) = 9.70, PI (prediction interval) [-2.32, -0.58]. The primary limitation of the current review is the small number of included studies. We discuss methodological limitations, such as limited power, and how future research may redress these concerns. The variability of effect sizes appears consistent with the inherent variability within subtypes of dyslexia. This level of dispersion seems indicative of the how we define cut-off thresholds between typical reading and dyslexia populations, but also the methodological tools we use to investigate individual performance.


2020 ◽  
Vol 16 ◽  
Author(s):  
Mariam Ahmed Saad ◽  
Mostafa Alfishawy ◽  
Mahmoud Nassar ◽  
Mahmoud Mohamed ◽  
Ignatius N Esene ◽  
...  

Introduction: Over 4.9 million cases of Coronavirus disease 2019 (COVID-19) have been confirmed since the worldwide pandemic began. Since the emergence of COVID-19, a number of confirmed cases reported autoimmune manifestations. Herein, we reviewed the reported COVID-19 cases with associated autoimmune manifestations. Methods: We searched PubMed database using all available keyword for COVID-19. All related studies between January 1st, 2020 to May 22nd, 2020 were reviewed. Only studies published in English language were considered. Articles were screened based on titles and abstract. All reports of confirmed COVID-19 patients who have associated clinical evidence of autoimmune disease were selected. Results: Among 10006 articles, searches yielded, Thirty-two relevant articles for full-text assessment. Twenty studies meet the eligibility criteria. The twenty eligible articles reported 33 cases of confirmed COVID-19 diagnosis who developed an autoimmune disease after the onset of covid-19 symptoms. Ages of patients varied from a 6 months old infant to 89 years old female (Mean=53.9 years of 28 cases); five cases had no information regarding their age. The time between symptoms of viral illness and onset of autoimmune symptoms ranged from 2 days to 33 days (Mean of the 33 cases=9.8 days). Autoimmune diseases were one case of subacute thyroiditis (3%), two cases of Kawasaki Disease (6.1%), three cases of coagulopathy and antiphospholipid syndrome (9.1%), three cases of immune thrombocytopenic purpura (9.1%), eight cases of autoimmune hemolytic anemia (24.2%), and sixteen cases of Guillain–Barré syndrome (48.5%). Conclusions: COVID-19 has been implicated in the development in a range of autoimmune diseases which may shed a light on the association between autoimmune diseases and infections.


2018 ◽  
Author(s):  
Ram Dixit ◽  
Sahiti Myneni

BACKGROUND Connected Health technologies are a promising solution for chronic disease management. However, the scope of connected health systems makes it difficult to employ user-centered design in their development, and poorly designed systems can compound the challenges of information management in chronic care. The Digilego Framework addresses this problem with informatics methods that complement quantitative and qualitative methods in system design, development, and architecture. OBJECTIVE To determine the accuracy and validity of the Digilego information architecture of personal health data in meeting cancer survivors’ information needs. METHODS We conducted a card sort study with 9 cancer survivors (patients and caregivers) to analyze correspondence between the Digilego information architecture and cancer survivors’ mental models. We also analyzed participants’ card sort groups qualitatively to understand their conceptual relations. RESULTS We observed significant correlation between the Digilego information architecture and cancer survivors’ mental models of personal health data. Heuristic analysis of groups also indicated informative discordances and the need for patient-centric categories relating health tracking and social support in the information architecture. CONCLUSIONS Our pilot study shows that the Digilego Framework can capture cancer survivors’ information needs accurately; we also recognize the need for larger studies to conclusively validate Digilego information architectures. More broadly, our results highlight the importance of complementing traditional user-centered design methods and innovative informatics methods to create patient-centered connected health systems.


2019 ◽  
Author(s):  
Sheeba Nadarajah ◽  
Susan Buchholz ◽  
Kristen Dickins

BACKGROUND Globally, cardiovascular disease is the leading cause of death. Cardiovascular mortality can be decreased by participation in cardiac rehabilitation. Researchers are exploring the use of mHealth technology in cardiac rehabilitation. OBJECTIVE The aim of this systematic review is to examine the effectiveness of randomized controlled trials that use a mHealth intervention as a part of an outpatient and/or home-based cardiac rehabilitation program on improving physical activity and physical fitness outcomes. METHODS For this systematic review, mHealth interventions were limited to text messaging, mobile apps, and use of a mobile phone network for data transmission, used to deliver cardiac rehabilitation program. Using six databases, the search strategy included published English language studies through 2016. Data was extracted independently by two reviewers, and then synthesized. RESULTS The initial search yielded 149 articles, of which 15 articles that represented nine studies met inclusion criteria. Articles were published from 2010 to 2016 and came from two continents. The majority (84%) of participants were male. Generally, the participant mean age was late 50s to early 60s. Text messaging was the most frequently used intervention. The results of the physical activity and physical fitness findings were mixed. Effect sizes for intervention as measured by the 6-minute walk test ranged from 0.46 to 0.58 and peak VO2 ranged from 0.03 to 1.35. CONCLUSIONS Globally, use of mHealth in outpatient and/or home-based cardiac rehabilitation is being studied with greater attention. However, these studies are limited by geography, gender, and age. Therefore, further research in the area of cardiac rehabilitation and mHealth is recommended, especially in developing countries, among women, and older adults.


Author(s):  
Leilah Santiago Bufrem ◽  
Fábio Mascarenhas Silva ◽  
Natanael Vitor Sobral ◽  
Anna Elizabeth Galvão Coutinho Correia

Introdução: A atual configuração da dinâmica relativa à produção e àcomunicação científicas revela o protagonismo da Ciência Orientada a Dados,em concepção abrangente, representada principalmente por termos como “e-Science” e “Data Science”. Objetivos: Apresentar a produção científica mundial relativa à Ciência Orientada a Dados a partir dos termos “e-Science” e “Data Science” na Scopus e na Web of Science, entre 2006 e 2016. Metodologia: A pesquisa está estruturada em cinco etapas: a) busca de informações nas bases Scopus e Web of Science; b) obtenção dos registros; bibliométricos; c) complementação das palavras-chave; d) correção e cruzamento dos dados; e) representação analítica dos dados. Resultados: Os termos de maior destaque na produção científica analisada foram Distributed computer systems (2006), Grid computing (2007 a 2013) e Big data (2014 a 2016). Na área de Biblioteconomia e Ciência de Informação, a ênfase é dada aos temas: Digital library e Open access, evidenciando a centralidade do campo nas discussões sobre dispositivos para dar acesso à informação científica em meio digital. Conclusões: Sob um olhar diacrônico, constata-se uma visível mudança de foco das temáticas voltadas às operações de compartilhamento de dados para a perspectiva analítica de busca de padrões em grandes volumes de dados.Palavras-chave: Data Science. E-Science. Ciência orientada a dados. Produção científica.Link:http://www.uel.br/revistas/uel/index.php/informacao/article/view/26543/20114


Lupus ◽  
2020 ◽  
pp. 096120332096570
Author(s):  
Juliana P Ocanha-Xavier ◽  
Camila O Cola-Senra ◽  
Jose Candido C Xavier-Junior

Reticular erythematous mucinosis (REM) was first described 50 years ago, but only around 100 case reports in English have been published. Its relation with other inflammatory skin disorders is still being debated. We report a case of REM, including the clinical and histopathological findings. Also, a systematic review of 94 English-language reported cases is provided. The described criteria for clinical and histopathological diagnosis are highlighted in order to REM can be confidently diagnosed.


2021 ◽  
Vol 06 (01) ◽  
pp. e35-e39
Author(s):  
Chelsi Robertson ◽  
Charles Patterson ◽  
Hugo St. Hilaire ◽  
Frank H. Lau

Abstract Background Pressure ulcers (PUs) affect 2.5 million people in the United States annually and incur health-care costs of 11 billion dollars annually. Stage III/IV PU often require local flap reconstruction. Unfortunately, PU recurrence is common following reconstruction; recurrence rates as high as 82% have been reported. When local flap options are inadequate, free tissue transfer may be indicated but the indications have yet to be delineated. To develop evidence-based guidelines for the use of free flaps in PU reconstruction, we performed a systematic review. Methods A systematic review of the available English-language, peer-reviewed literature was conducted using PubMed/MEDLINE, Google Scholar, Scopus, EMBASE, and the Cochrane Database of Systematic Reviews. Articles were manually reviewed for relevance. Results Out of 272 articles identified, 10 articles were included in the final analysis. Overall, this systematic review suggests that free-flap PU reconstruction yields fewer recurrences compared with local flaps (0–20 vs. 13–82%). Further, several types of free flaps for PU reconstruction were identified in this review, along with their indications. Conclusion Free tissue transfer should be considered for recurrent PU. We offer specific recommendations for their use in PU reconstruction.


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