Evaluation of diagnostic analysis and test equipment for small automotive repair establishments. A report to the Congress.

Mode of access: Internet.

A system for diagnosis, referral, and rehabilitation of persons convicted of driving while intoxicated: the system and a preliminary field test of the diagnostic procedure. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Diagnostic motor vehicle inspection demonstration projects, program engineering support. Volume 9 - appendix H: vehicle designs that facilitate or hinder inspection and repair and interchangeability and interface capability of test equipment and vehicles. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Specifications and test methods for numeric accuracy in programming language standards /

Item 247.

A Guide to the performance of the standardized diagnostic complement fixation method and adaptation to micro test /

"Based on Public Health Monograph No. 74, Standardized Diagnostic Complement Fixation Method and Adaptation to Micro Test."

The STARD statement for reporting studies of diagnostic accuracy: Explanation and elaboration

The quality of reporting of studies of diagnostic accuracy is less than optimal. Complete and accurate reporting is necessary to enable readers to assess the potential for bias in the study and to evaluate the generalisability of the results. A group of scientists and editors has developed the STARD (Standards for Reporting of Diagnostic Accuracy) statement to improve the reporting the quality of reporting of studies of diagnostic accuracy. The statement consists of a checklist of 25 items and flow diagram that authors can use to ensure that all relevant information is present. This explanatory document aims to facilitate the use, understanding and dissemination of the checklist. The document contains a clarification of the meaning, rationale and optimal use of each item on the checklist, as well as a short summary of the available evidence on bias and applicability. The STARD statement, checklist, flowchart and this explanation and elaboration document should be useful resources to improve reporting of diagnostic accuracy studies. Complete and informative reporting can only lead to better decisions in healthcare.

Diagnostic accuracy of and patient satisfaction with telemedicine for the follow-up of paediatric burns patients

Videoconferencing has become a routine technique for the post-acute burns care of children in Queensland. We compared the agreement between clinical assessments conducted via videoconference and assessments conducted in the conventional, face-to-face manner (FTF). A total of 35 children with a previous burn injury were studied. Twenty-five children received three consecutive assessments: first FTF by a consultant in the outpatient department, then by a second consultant who reviewed the patient via videoconference, and then by the second consultant in person. The second consultant also reviewed another 10 children twice. At each review, the following variables were measured: scar colour, scar thickening, contractures, range of motion, the patient's level of general activity, any breakdown of the graft site, and adequacy of the consultation. Agreement between the two consultants when seeing patients FTF was moderately high, with an overall concordance of 85%. When videoconferencing was used, the level of agreement was almost the same, at 84%. If one consultant reviewed patients FTF first and then via videoconference, the overall concordance was 98%; if the process was reversed, the overall concordance was 97%. This study confirms that the quality of information collected during a videoconference appointment is comparable to that collected during a traditional, FTF appointment for a follow-up burns consultation.

Genetic diversity of Plasmodium falciparum histidine-rich protein 2 (PfHRP2) and its effect on the performance of PfHRP2-based rapid diagnostic tests

Rising costs of antimalarial agents are increasing the demand for accurate diagnosis of malaria. Rapid diagnostic tests (RDTs) offer great potential to improve the diagnosis of malaria, particularly in remote areas. Many RDTs are based on the detection of Plasmodium falciparum histidine-rich protein (PfHRP) 2, but reports from field tests have questioned their sensitivity and reliability. We hypothesize that the variability in the results of PfHRP2-based RDTs is related to the variability in the target antigen. We tested this hypothesis by examining the genetic diversity of PfHRP2, which includes numerous amino acid repeats, in 75 P. falciparum lines and isolates originating from 19 countries and testing a subset of parasites by use of 2 PfHRP2-based RDTs. We observed extensive diversity in PfHRP2 sequences, both within and between countries. Logistic regression analysis indicated that 2 types of repeats were predictive of RDT detection sensitivity (87.5% accuracy), with predictions suggesting that only 84% of P. falciparum parasites in the Asia-Pacific region are likely to be detected at densities

The rapid screen of concussion: An evaluation of the non-word repetition test for use in mTBI research

Primary objectives: (1) To investigate the Nonword Repetition test (NWR) as an index of sub-vocal rehearsal deficits after mild traumatic brain injury (mTBI); (2) to assess the reliability, validity and sensitivity of the NWR; and (3) to compare the NWR to more sensitive tests of verbal memory. Research design: An independent groups design. Methods and procedures: Study 1 administered the NWR to 46 mTBI and 61 uninjured controls with the Rapid Screen of Concussion (RSC). Study 2 compared mTBI, orthopaedic and uninjured participants on the NWR and the Hopkins Verbal Learning Test (HVLT-R). Main outcomes and results: The NWR did not improve the diagnostic accuracy of the RSC. However, it is reliable and indexes sub-vocal rehearsal speed. These findings provide evidence that although the current form of the NWR lacks sensitivity to the impact of mTBI, the development of a more sensitive test of sub-vocal rehearsal deficits following mTBI is warranted.

Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease

There has been considerable recent research into the connection between Parkinson's disease (PD) and speech impairment. Recently, a wide range of speech signal processing algorithms (dysphonia measures) aiming to predict PD symptom severity using speech signals have been introduced. In this paper, we test how accurately these novel algorithms can be used to discriminate PD subjects from healthy controls. In total, we compute 132 dysphonia measures from sustained vowels. Then, we select four parsimonious subsets of these dysphonia measures using four feature selection algorithms, and map these feature subsets to a binary classification response using two statistical classifiers: random forests and support vector machines. We use an existing database consisting of 263 samples from 43 subjects, and demonstrate that these new dysphonia measures can outperform state-of-the-art results, reaching almost 99% overall classification accuracy using only ten dysphonia features. We find that some of the recently proposed dysphonia measures complement existing algorithms in maximizing the ability of the classifiers to discriminate healthy controls from PD subjects. We see these results as an important step toward noninvasive diagnostic decision support in PD.