Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1093/jamia/ocv062 http://scihub22266oqcxt.onion/10.1093/jamia/ocv062 C5009924!5009924 !26269536     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26269536 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26269536 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Am+Med+Inform+Assoc 2016 ; 23 (2 ): 269-75 Nephropedia Template TP {{tp|p=26269536 |t=2016. Assessing the readability of ClinicalTrials gov |pdf=|usr=}}{{26269536 }} gab.com Text Assessing the readability of ClinicalTrials gov JO: J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=26269536 #FOAvip OBJECTIVE: ClinicalTrials.gov serves critical functions of disseminating trial information to the public and helping the trials recruit participants. This study assessed the readability of trial descriptions at ClinicalTrials.gov using multiple quantitative measures. MATERIALS AND METHODS: The analysis included all 165,988 trials registered at ClinicalTrials.gov as of April 30, 2014. To obtain benchmarks, the authors also analyzed 2 other medical corpora: (1) all 955 Health Topics articles from MedlinePlus and (2) a random sample of 100,000 clinician notes retrieved from an electronic health records system intended for conveying internal communication among medical professionals. The authors characterized each of the corpora using 4 surface metrics, and then applied 5 different scoring algorithms to assess their readability. The authors hypothesized that clinician notes would be most difficult to read, followed by trial descriptions and MedlinePlus Health Topics articles. RESULTS: Trial descriptions have the longest average sentence length (26.1 words) across all corpora; 65% of their words used are not covered by a basic medical English dictionary. In comparison, average sentence length of MedlinePlus Health Topics articles is 61% shorter, vocabulary size is 95% smaller, and dictionary coverage is 46% higher. All 5 scoring algorithms consistently rated CliniclTrials.gov trial descriptions the most difficult corpus to read, even harder than clinician notes. On average, it requires 18 years of education to properly understand these trial descriptions according to the results generated by the readability assessment algorithms. DISCUSSION AND CONCLUSION: Trial descriptions at CliniclTrials.gov are extremely difficult to read. Significant work is warranted to improve their readability in order to achieve CliniclTrials.gov's goal of facilitating information dissemination and subject recruitment. Twit Text FOAVip Assessing the readability of ClinicalTrials gov ????J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=26269536 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26269536 #FOAvip English Wikipedia <ref>{{Cite pmid|26269536 }}</ref> Assessing the readability of ClinicalTrials gov #MMPMID26269536 Wu DT ; Hanauer DA ; Mei Q ; Clark PM ; An LC ; Proulx J ; Zeng QT ; Vydiswaran VG ; Collins-Thompson K ; Zheng K J Am Med Inform Assoc 2016[Mar]; 23 (2 ): 269-75 PMID26269536 show ga OBJECTIVE: ClinicalTrials.gov serves critical functions of disseminating trial information to the public and helping the trials recruit participants. This study assessed the readability of trial descriptions at ClinicalTrials.gov using multiple quantitative measures. MATERIALS AND METHODS: The analysis included all 165,988 trials registered at ClinicalTrials.gov as of April 30, 2014. To obtain benchmarks, the authors also analyzed 2 other medical corpora: (1) all 955 Health Topics articles from MedlinePlus and (2) a random sample of 100,000 clinician notes retrieved from an electronic health records system intended for conveying internal communication among medical professionals. The authors characterized each of the corpora using 4 surface metrics, and then applied 5 different scoring algorithms to assess their readability. The authors hypothesized that clinician notes would be most difficult to read, followed by trial descriptions and MedlinePlus Health Topics articles. RESULTS: Trial descriptions have the longest average sentence length (26.1 words) across all corpora; 65% of their words used are not covered by a basic medical English dictionary. In comparison, average sentence length of MedlinePlus Health Topics articles is 61% shorter, vocabulary size is 95% smaller, and dictionary coverage is 46% higher. All 5 scoring algorithms consistently rated CliniclTrials.gov trial descriptions the most difficult corpus to read, even harder than clinician notes. On average, it requires 18 years of education to properly understand these trial descriptions according to the results generated by the readability assessment algorithms. DISCUSSION AND CONCLUSION: Trial descriptions at CliniclTrials.gov are extremely difficult to read. Significant work is warranted to improve their readability in order to achieve CliniclTrials.gov's goal of facilitating information dissemination and subject recruitment. |*Clinical Trials as Topic [MESH] |*Comprehension [MESH] |*Databases, Factual [MESH] |*Vocabulary [MESH] |Algorithms [MESH] |Analysis of Variance [MESH] |Consumer Health Information [MESH] |MedlinePlus [MESH]Assessing the readability of ClinicalTrials gov (epmc).pdf DeepDyve Pubget Overpricing