METHODS: A cross-sectional observational study was performed on healthy and glaucoma subjects, on whom two sets of OCTA images of optic disc and macula were acquired using both AngioVue (Optovue, USA) and Swept Source (Topcon, Japan) OCTA devices during one visit. A novel in-house software was used to calculate the vessel densities. Diagnostic accuracy of the machines in differentiating healthy versus glaucomatous eyes was determined using area under the receiver operating characteristic curve (AUROC) and test-retest repeatability of the machines was also evaluated.
RESULTS: A total of 80 healthy and 38 glaucomatous eyes were evaluated. Glaucomatous eyes had reduced mean vessel density compared to healthy controls in all segmented layers of the optic disc and macula using AngioVue (p ≤ 0.001). However, glaucomatous eyes had higher mean vessel density on optic disc scans using Swept Source, with lack of statistically significant difference between healthy and glaucomatous eyes. The AUROC showed better diagnostic accuracy of AngioVue (0.761-1.000) compared to Swept Source (0.113-0.644). The test-retest reliability indices were generally better using AngioVue than Swept Source.
CONCLUSIONS: AngioVue showed better diagnostic capability and test-retest reliability compared to Swept Source. Further studies need to be undertaken to evaluate if there is any significant difference between the various machines in diagnosing and monitoring glaucoma.
METHODS: Continuous raw PPG waveforms were blindly allocated into segments with an equal length (5s) without leveraging any pulse location information and were normalized with Z-score normalization methods. A 1-D-CNN was designed to automatically learn the intrinsic features of the PPG waveform, and perform the required classification. Several training hyperparameters (initial learning rate and gradient threshold) were varied to investigate the effect of these parameters on the performance of the network. Subsequently, this proposed network was trained and validated with 30 subjects, and then tested with eight subjects, with our local dataset. Moreover, two independent datasets downloaded from the PhysioNet MIMIC II database were used to evaluate the robustness of the proposed network.
RESULTS: A 13 layer 1-D-CNN model was designed. Within our local study dataset evaluation, the proposed network achieved a testing accuracy of 94.9%. The classification accuracy of two independent datasets also achieved satisfactory accuracy of 93.8% and 86.7% respectively. Our model achieved a comparable performance with most reported works, with the potential to show good generalization as the proposed network was evaluated with multiple cohorts (overall accuracy of 94.5%).
CONCLUSION: This paper demonstrated the feasibility and effectiveness of applying blind signal processing and deep learning techniques to PPG motion artifact detection, whereby manual feature thresholding was avoided and yet a high generalization ability was achieved.
METHODS: The initial 11-factor and 132-item AEEMI was distributed to 1930 pre-clinical and clinical year medical students from 11 medical schools in Malaysia. The study examined the construct validity of the AEEMI using exploratory and confirmatory factor analyses.
RESULTS: The best-fit model of AEEMI was achieved using 5 factors and 26 items (χ 2 = 3300.71 (df = 1680), P
OBJECTIVES: The study aims to develop and validate scales (direct and indirect) based on a modified Theory of Planned Behavior (TPB) to measure factors associated with the provision of PCare for HDS users by Thai CPs.
METHOD: Item generation for the scales was based on the theoretical constructs of the modified TPB framework, literature review, and authors' previous qualitative study. Draft items were then subjected to content validity and face validity. Psychometric testing was carried out among CPs in Bangkok, Thailand. Refinement of the scales utilized factor analysis and validity was assessed using factor analysis and Rasch analysis. Internal consistency reliability and construct reliability were used to assess the scales' reliability.
RESULTS: Initially, the direct and indirect scales contained 15 and 28 items, respectively and were reduced to 12 and 16 items, after experts' review. Factor analysis further reduced the number of items of the indirect scale to 13. For both scales, confirmatory factor analysis showed model-data fit. Each construct of the direct scale was significant predictors of intention. Moreover, each construct of the direct scale correlated positively and significantly with the respective construct of the indirect scale, signifying concurrent validity. No misfit item was identified in the Rasch analysis and the majority of items were invariant across gender. Internal consistency reliability and construct reliability of the scales were acceptable.
CONCLUSION: This study presents the development and validation of theoretically-grounded scales to measure the factors associated with the provision of PCare for HDS users by Thai CPs.
METHODS: The norm-referenced method of standard setting was applied to the real scores of 40 final-year dental students on a multiple-choice question (MCQ), a short answer question (SAQ), and an objective structured clinical examination (OSCE). A panel of 10 judges set the standard using the modified-Angoff method for the same paper in one sitting. One judge set the passing score of 10 OSCE questions after 2 weeks. A comparison of the grades and pass/fail rates derived from the absolute standard, norm-referenced, and modified-Angoff methods was made. The intra-rater and inter-rater reliabilities of the modified-Angoff method were assessed.
RESULTS: The passing rate for the absolute standard was 100% (40/40), for the norm-referenced method it was 62.5% (25/40), and for the modified-Angoff method it was 80% (32/40). The modified-Angoff method had good inter-rater reliability of 0.876 and excellent test-retest reliability of 0.941.
CONCLUSION: There were significant differences in the outcomes of these three standard-setting methods, as shown by the difference in the proportion of candidates who passed and failed the assessment. The modified-Angoff method was found to have good reliability for use with a professional qualifying dental examination.
METHODS: We collected data from 7954 asymptomatic subjects (age, 50-75 y) who received screening colonoscopy examinations at 14 sites in Asia. We randomly assigned 5303 subjects to the derivation cohort and the remaining 2651 to the validation cohort. We collected data from the derivation cohort on age, sex, family history of colorectal cancer, smoking, drinking, body mass index, medical conditions, and use of nonsteroidal anti-inflammatory drugs or aspirin. Associations between the colonoscopic findings of APN and each risk factor were examined using the Pearson χ2 test, and we assigned each participant a risk score (0-15), with scores of 0 to 3 as average risk and scores of 4 or higher as high risk. The scoring system was tested in the validation cohort. We used the Cochran-Armitage test of trend to compare the prevalence of APN among subjects in each group.
RESULTS: In the validation cohort, 79.5% of patients were classified as average risk and 20.5% were classified as high risk. The prevalence of APN in the average-risk group was 1.9% and in the high-risk group was 9.4% (adjusted relative risk, 5.08; 95% CI, 3.38-7.62; P < .001). The score included age (61-70 y, 3; ≥70 y, 4), smoking habits (current/past, 2), family history of colorectal cancer (present in a first-degree relative, 2), and the presence of neoplasia in the distal colorectum (nonadvanced adenoma 5-9 mm, 2; advanced neoplasia, 7). The c-statistic of the score was 0.74 (95% CI, 0.68-0.79), and for distal findings alone was 0.67 (95% CI, 0.60-0.74). The Hosmer-Lemeshow goodness-of-fit test statistic was greater than 0.05, indicating the reliability of the validation set. The number needed to refer was 11 (95% CI, 10-13), and the number needed to screen was 15 (95% CI, 12-17).
CONCLUSIONS: We developed and validated a scoring system to identify persons at risk for APN. Screening participants who undergo flexible sigmoidoscopy screening with a score of 4 points or higher should undergo colonoscopy evaluation.
METHODS: The study from March 2016 to April 2017 was conducted to validate the 'Work Readiness Scale' (WRS; Deakin University) using Principal Component Analysis and Cronbach - α for internal consistency. It was modified to a four-item even-point scale and distributed as an online survey to 335 final year students of the three programs.
RESULTS: A reduction from 64 to 53 items provided good internal consistency in all factors: WC 0.85, OA 0.88, SI 0.88 and PC 0.71. The PC domain had the greatest item reduction from 22 to 6, whilst the SI domain increased in items from 8 to 19. These changes may be associated with difference in understanding or interpretation of the items in the SI domain.
CONCLUSION: The modified WRS can be used to evaluate job readiness in HP graduates. However, it needs further refinement and validation in specific educational and employment contexts.
METHODS: An iterative process of questionnaire development was undertaken by combining two approaches: the steps proposed by Robert F. DeVellis for scale development and the recommended practices for questionnaire development and testing in the European statistical system. We attempted to develop the draft questionnaire that involved conceptualization and operationalization, generation of an item pool, development of the questionnaire format, review of the initial item pool by experts, and consideration of validation items for inclusion.
RESULTS: We generated an item pool from in-depth interviews with 14 women who sought infertility care within 6 months before the interview time. We then added more items from a literature review. The item pool contained 123 items distributed through 10 domains. Ten women with infertility were included for face validation. Then, experts with backgrounds in Obstetrics and Gynecology, Family Medicine, and Public Health reviewed the item pool using content validation (n = 10 professors and/or specialists). The item pool was finally reduced to 57 items. We developed the draft Arabic patient-centered infertility care questionnaire for female clients (PCIQ-F) with three sections, including 66 items: background variables, PCIC experience variables, and a general question about the quality of infertility care in the health facility. The draft questionnaire was further reviewed and edited last by experts in preparation for part 2, which will test the questionnaire and prepare the final version.
CONCLUSION: The PCIQ-F questionnaire development is a multi-step iterative process started and ended by the target users as experts. Experts' participation in infertility care and in questionnaire format development had a great impact on questionnaire development and conflict resolution. We recommend this transparent and replicable approach for new instrument developers; it is likely to generate a questionnaire that is valid and acceptable to target users. The draft PCIQ-F questionnaire is ready for testing of its psychometric properties before the final version to measure the PCIC level in health facilities.