RECENT FINDINGS: The design and scale-up of multidisciplinary care models that engage, retain, and treat individuals with HIV, HCV, and OUD are critical to preventing continued spread of HIV and HCV. We identified 17 models within primary care (N = 3), HIV specialty care (N = 5), opioid treatment programs (N = 6), transitional clinics (N = 2), and community-based harm reduction programs (N = 1), as well as two emerging models. Key components of such models are the provision of (1) medication-assisted treatment for OUD, (2) HIV and HCV treatment, (3) HIV pre-exposure prophylaxis, and (4) behavioral health services. Research is needed to understand differences in effectiveness between co-located and fully integrated care, combat the deleterious racial and ethnic legacies of the "War on Drugs," and inform the delivery of psychiatric care. Increased access to harm reduction services is crucial.
Objective: The aim of this study to determine the prevalence of DASS in patients with diabetes mellitus without mental disorders, aged 20 years or more, in primary health care, and to determine any association between DASS and patients' sociodemographic and clinical attributes.
Methods: This was a cross-sectional study conducted in a primary health care center, in the department of general practice. Patients with DM who visited the doctor and agreed to fill in the questionnaire were included in the study. Data were collected using the questionnaire DASS-21. Descriptive statistics, the Pearson chi-square test, and logistic regression analysis were used to analyze the data.
Results: Out of a total of 102 respondents with DM, 29 (28.4%) had some form of psychological symptoms. The prevalence of DASS was 16.7%, 16.6%, and 23.5%, respectively. There was no significant difference between sociodemographic variables according to stress status. Respondents aged 40-49 years more often showed emotional states of depression and anxiety. There was a significant association between emotional status of DASS and HbA1c values. Logistic regression analysis indicated that age (OR=2.57, 95% CI: 1.59-4.13) was a predictor of depression and anxiety.
Conclusion: Unpleasant emotional states DASS are common in patients with DM, depression (16.7%), anxiety (16.6%), and stress (23.5%). Age is the strongest predictor of DASS status. The screening and monitoring of unpleasant emotional states in people with diabetes should be performed from a young age.
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.
RESULT: Overall, diet quality of study participants was unsatisfactory with the mean score of 58.05 ± 9.07 that need improvement. Total HEI score was negatively correlated with the 2-HPP levels in pre-diabetic patients (r = - 0.45, p = 0.05). No significant association was revealed between glycemic parameters and total HEI score among other groups. Age, body mass index (BMI), triglycerides and female gender were positively correlated with the risk of pre-diabetes, at-risk of pre-diabetes and undiagnosed diabetes (p care providers when managing pre-diabetes/diabetes to achieve possible reversion. Further in-depth investigations with large sample are warranted to confirm study findings.
Methods: Secondary data that included patients' demographics, BP, and data on medicines availability of the intervention group from a 3 months' operational study conducted in rural PHC facilities in South Africa were analyzed. The association between medicines availability, the number of antihypertensive medicines, and BP control was explored.
Findings: Fifty-five African patients (89.1% females) with a mean age of 61.3 years were included. Two-thirds (67.2%) received all their medicines during their monthly visits, 25.5% received some, and for 7.3%, there was no record of whether medicines were dispensed or not. Patients with controlled BP (60.0%) were more likely to have been prescribed only one antihypertensive medicine compared to patients with uncontrolled BP (20.7%) (P = 0.017; odds ratio: 5.75; 95% confidence interval: 1.46, 22.61).
Conclusion: It is concerning that one-third of patients went home without all of their antihypertensive medicines from PHC facilities in this Province of South Africa where there is evidence of use of herbal medicines and uncontrolled BP contributing to high morbidity and mortality from cardiovascular diseases. Additional studies are needed to fully explore the association between medicines availability, their use, and BP control among patients.
Method: This study was conducted between November and December 2016 at two primary care clinics that offered integrated diabetes care at the time. These sites were selected to assess the discriminative validity of the PACIC. Site 1 is a Malaysian Ministry of Health-run primary care clinic while site 2 is a university-run hospital-based primary care clinic. Only site 1 annually monitors patient performance and encourages them to achieve their HbA1c targets using a standard checklist. Patients with diabetes mellitus who understood English were recruited. Participants were asked to fill out the PACIC at baseline and two weeks later.
Results: A total of 200 out of the 212 invited agreed to participate (response rate=94.3%). Confirmatory factor analysis confirmed the 5-factor structure of the PACIC. The overall PACIC score and the score in two of the five domains were significantly higher at site 1 than at site 2. The overall Cronbach's alpha was 0.924. At test-retest, intra-class correlation coefficient values ranged from 0.641 to 0.882.
Conclusion: The English version of the PACIC was found to be a valid and reliable instrument to assess the quality of care among patients with diabetes mellitus in Malaysia.