Methods: An extensive literature review was done using Google-Scholar and PubMed to find out scales that utilized to assess quality of life among DM patients. Four relevant scales, three diabetes specific and one general, were selected. The selected scales were carefully evaluated to find out domains that are commonly used to assess quality of life and then the items within the selected domains were reviewed to choose relevant and comprehensive items for Iraqi type 2 DM patients. Ten items were selected to formulate the quality of life scale for Iraqi DM patients (QOLSID). The content validity of QOLSID was established via an expert panel. For concurrent validity QOLSID was compared to glycosylated hemoglobin (HbA1C). For psychometric evaluation, a cross sectional study for 103 type 2 DM patients was conducted at the National Diabetes Center, Iraq. Test-retest reliability was measured by re-administering QOLSID to 20 patients 2-4 weeks later.

Results: The internal consistency of the QOLSID was 0.727. All items had a corrected total-item correlation above 0.2. There was a negative significant correlation between QOLSID score and the HbA1C level (-0.518, P = 0.000). A significant positive correlation was obtained after re-testing (0.967, P = 0.000).

Objective: To assess the impact of pharmacist-supervised intervention on HRQoL of newly diagnosed diabetics using an Audit of Diabetes-Dependent Quality of Life (ADDQoL) questionnaire.

Materials and Methods: A pre-post comparison study was conducted among the control group (CG), test 1 group (T1G) and test 2 group (T2G) patients with three treatment arms to explore the impact of pharmacist-supervised intervention on HRQoL of newly diagnosed diabetics for 18 months. Patients' HRQoL scores were determined using ADDQoL questionnaire at baseline, 3, 6, 9 and 12-months. T1G patients received pharmacist's intervention whereas T2G patients received diabetic kit demonstration in addition to pharmacist's intervention. CG patients were deprived of pharmacist intervention and diabetic kit demonstration, and only received care from attending physician/nurses. Non-parametric tests were used to find the differences in an average weighted impact scores (AWIS) among the groups before and after the intervention at P ≤ 0.05.

Results: Friedman test identified significant (P < 0.001) improvement in AWIS among the test groups' patients. Differences in scores were significant between T1G and T2G at 6-months (P = 0.033), 9-months (P < 0.001) and 12-months (P < 0.001); between CG and T1G at 12-months (P < 0.001) and between CG and T2G at 9-months (P < 0.001) and 12-months (P < 0.0010) on Mann.Whitney U test.

AIM: To assess the oral health status, related behaviours, and oral health-related quality of life (OHRQoL) among OA children in Cameron Highlands (CH), Malaysia, and to identify the predictor(s) for poor OHRQoL.

DESIGN: This was a cross-sectional study involving 249, 11-12 year old OA children from 4 OA primary schools in CH. The children completed a self-administered questionnaire comprising information on socio-demographics, oral health-related behaviours, and the Malay Child Oral Impacts on Daily Performances (Malay Child-OIDP) index followed by an oral examination. Data were entered into the SPSS version 23.0 software. Non-parametric tests and multiple logistic regression were used for data analysis.

RESULTS: The response rate was 91.2% (n = 227/249). The prevalence of caries was 61.6% (mean DMFT = 1.36, mean dft = 1.01) and for gingivitis was 96.0%. Despite the majority reported brushing their teeth ≥ 2x/day (83.7%) with fluoride toothpaste (80.2%), more than two-thirds chewed betel nut ≥ 1/day (67.4%). Majority of the children (97.8%) had a dental check-up once a year. Nearly three-fifths (58.6%) reported experiencing oral impacts on their daily performances in the past 3 months (mean score = 5.45, SD = 8.5). Most of the impacts were of "very little" to "moderate" levels of impact intensity with 90.2% had up to 4 daily performances affected. Most of the impacts were on eating (35.2%), cleaning teeth (22.0%) and relaxing activities (15.9%). Caries in primary teeth is associated with oral impacts among the OA children.

Methods: HRQoL among patients on warfarin was measured using WHOQOL-BREF (World Health Organization Quality of life Assessment: Brief Version). Descriptive and inferential statistical analysis was done using Statistical Package for the Social Sciences (SPSS) version 22.