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.

METHODS: The algorithm was developed using data from 345 TDT patients. Spearman's rank correlation was used to evaluate the conceptual overlap between the instruments. Model specifications were chosen using a stepwise regression. Both direct and response mapping methods were attempted. Six mapping estimation methods ordinary least squares (OLS), a log-transformed response using OLS, generalized linear model (GLM), two-part model (TPM), Tobit and multinomial logistic regression (MLOGIT) were tested to determine the root mean squared error (RMSE) and mean absolute error (MAE). Other criterion used were accuracy of the predicted utility score, proportions of absolute differences that was less than 0.03 and intraclass correlation coefficient. An in-sample, leave-one-out cross validation was conducted to test the generalizability of each model.

RESULTS: The best performing model was specified with three out of the four PedsQL GCS scales-the physical, emotional and social functioning score. The best performing estimation method for direct mapping was a GLM with a RMSE of 0.1273 and MAE of 0.1016, while the best estimation method for response mapping was the MLOGIT with a RMSE of 0.1597 and MAE of 0.0826.

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.

OBJECTIVE: The objective of this study was to assess the association between diet quality evaluated by healthy eating index (HEI) with the glucose outcome in individuals with distinct diabetes progression stages, as well as to identify causal factors in relation to their diabetes status.

METHOD: A cross-sectional study was conducted at clinical care setting in Universiti Sains Malaysia (USM) between October 2018-March 2019. Normoglycemic controls (n = 47), at-risk of pre-diabetes (n = 58), pre-diabetes (n = 24) as well as individuals with undiagnosed diabetes (n = 18) were queried about their habitual diet by using Food Frequency Questionnaire (FFQ). Correlation analyses were performed to examine the relationship between HEI score and 1) Fasting plasma glucose (FPG) 2) postprandial blood glucose (2-HPP) and glycosylated hemoglobin (HbA1c). Multinomial regression was performed to identify predictors associated with diabetes status of study participants.

Methods: A survey was performed using questionnaires composed of two parts: a scenario-based questionnaire using scenarios of polyps, which were adopted from the European Society of Gastrointestinal Endoscopy guidelines, and an image-based questionnaire using provided endoscopic images of polyps.

Results: A total of 154 endoscopists participated in this survey. The most preferred resection techniques for diminutive (≤5 mm), small (6-9 mm), and benign-looking intermediate (10-19 mm) nonpedunculated polyps were cold forceps polypectomy, hot snare polypectomy, and endoscopic mucosal resection (EMR), respectively, in both the scenario- and image-based questionnaires. For benign-looking large (≥20 mm) nonpedunculated polyps, EMR and endoscopic submucosal dissection (ESD) were preferred in the scenario- and image-based surveys, respectively. In case of malignant nonpedunculated polyps, EMR and ESD were preferred for intermediate-sized and large lesions, respectively, according to the scenario-based survey. However, ESD was preferred in both intermediate-sized and large malignant nonpedunculated polyps according to the image-based survey. Trainee endoscopists, endoscopists working in referral centers, and endoscopists in the colorectal cancer-prevalent countries were independently associated with preference of cold snare polypectomy for removing small polyps.

OBJECTIVE: This study aimed to determine the parental barrier toward the reduction of excessive child screen time and its predictors among parents of children aged younger than 5 years in the Petaling District, Selangor, Malaysia.

METHODS: A cross-sectional study was conducted from April 2019 to June 2020 among 789 parent-child dyads attending child health clinics in the Petaling District. Validated self-administered questionnaires were used to capture information on sociodemographic, parental, child-related, and environmental factors and parental barriers. Stratified sampling with probability proportionate to size was employed. Data were analyzed using SPSS Statistics version 25 (IBM Corp). Descriptive analysis and bivariable analysis were performed before multiple linear regression was used to identify predictors of parental barriers.

RESULTS: The overall mean score of parental barriers was 3.51 (SD 0.83), indicating that the average numbers of barriers experienced by parents were more than 3. The multivariable analysis showed that the predictors of parental barriers included monthly household income (adjusted β=-.03, 95% CI -0.05 to -0.02), parents who worked in public sectors (adjusted β=.18, 95% CI 0.06 to 0.29), positive parental attitude on screens (adjusted β=.68, 95% CI 0.58 to 0.79), low parent self-efficacy to influence child's physical activity (adjusted β=-.32, 95% CI -0.43 to -0.20), and child screen time (adjusted β=.04, 95% CI 0.02 to 0.06).

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.