Clinical usefulness of prediction tools to identify adult hospitalized patients at risk of drug-related problems: A systematic review of clinical prediction models and risk assessment tools.

AIMS: This study aimed to review systematically all available prediction tools identifying adult hospitalized patients at risk of drug-related problems, and to synthesize the evidence on performance and clinical usefulness. METHODS: PubMed, Scopus, Web of Science, Embase, and CINAHL databases were searched for relevant studies. Titles, abstracts and full-text studies were sequentially screened for inclusion by two independent reviewers. The Prediction Model Risk of Bias Assessment Tool (PROBAST) and the Revised Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) checklists were used to assess risk of bias and applicability of prediction tools. A narrative synthesis was performed. RESULTS: A total of 21 studies were included, 14 of which described the development of new prediction tools (four risk assessment tools and ten clinical prediction models) and six studies were validation based and one an impact study. There were variations in tool development processes, outcome measures and included predictors. Overall, tool performance had limitations in reporting and consistency, with the discriminatory ability based on area under the curve receiver operating characteristics (AUROC) ranging from poor to good (0.62-0.81), sensitivity and specificity ranging from 57.0% to 89.9% and 30.2% to 88.0%, respectively. The Medicines Optimisation Assessment tool and Assessment of Risk tool were prediction tools with the lowest risk of bias and low concern for applicability. Studies reporting external validation and impact on patient outcomes were scarce. CONCLUSION: Most prediction tools have limitations in development and validation processes, as well as scarce evidence of clinical usefulness. Future studies should attempt to either refine currently available tools or apply a rigorous process capturing evidence of acceptance, usefulness, performance and outcomes.

Feasibility study of automated interactive voice response telephone calls with community health nurse follow-up to improve glycaemic control in patients with type 2 diabetes.

BACKGROUND: Thailand has a shortage of community health nurses for supporting the self-management of type 2 diabetes, which is prevalent and poorly controlled. AIM: This study examined the feasibility and acceptability of a self-care assistance programme for poorly controlled type 2 diabetes mellitus. The SukapapNet programme consisted of automated interactive voice response calls to patients and automated follow-up email notifications to their nurses. DESIGN: Single-arm pre-post trial. METHODS: Six nurses and 35 type 2 diabetes patients were recruited from primary care settings in suburban provinces in Thailand. The study was conducted from June 2017 to November 2017. We assessed patients before and after 12 weeks of the SukapapNet intervention. RESULTS: Mean glycated haemoglobin decreased by 0.9%. Patients reported reduced carbohydrate consumption, increased physical activity, increased medication adherence, improved sleep quality, and more frequent foot care. Patients and nurses both recommended using the intervention, although nurses expressed concerns regarding increased workload. CONCLUSIONS: The study programme could improve outcomes in Thai type 2 diabetes patients. Further study of the impact of technology upon nurses' workload is warranted.

PREVALENCE AND FACTORS INFLUENCING BETEL NUT CHEWING AMONG ADULTS IN WEST INSEIN TOWNSHIP, YANGON, MYANMAR.

Betel nut chewing can cause precancerous oral lesions and is common in Myanmar. We conducted a cross sectional study aimed to estimate prevalence and factors influencing betel nut chewing among 420 subjects aged ≥18 years in West Insein Township, Yangon, Myanmar in order to inform preventive health programs. The mean age of the study subjects was 45(±15) years. The overall prevalence of current betel nut chewing among study subjects was 55.2%. The mean age starting betel nut chewing was 29(±13) years, and the mean duration of chewing was 15(±13) years. The reasons given by study subjects for chewing betel nut included the addictive effect to betel nut, to release tension, to get rid of boredom and to stop smoking. Sixty-two point three percent of current betel nut chewers also chewed tobacco and 24.2% also smoked cigarettes. Factors significantly associated with betel nut chewing were male gender, current alcohol consumer, having no education or finishing primary or secondary school, having a low score regarding their attitude about the health effects of betel nut chewing, and having high score on interpersonal factors by family and peer pressure. Our results show a need to better educate the public about the health effects of betel nut chewing among the study population.

Oral Diabetes Medication Videos on Douyin: Analysis of Information Quality and User Comment Attitudes.

BACKGROUND: Oral diabetes medications are important for glucose management in people with diabetes. Although there are many health-related videos on Douyin (the Chinese version of TikTok), the quality of information and the effects on user comment attitudes are unclear. OBJECTIVE: The purpose of this study was to analyze the quality of information and user comment attitudes related to oral diabetes medication videos on Douyin. METHODS: The key phrase "oral diabetes medications" was used to search Douyin on July 24, 2023, and the final samples included 138 videos. The basic information in the videos and the content of user comments were captured using Python. Each video was assigned a sentiment category based on the predominant positive, neutral, or negative attitude, as analyzed using the Weiciyun website. Two independent raters assessed the video content and information quality using the DISCERN (a tool for assessing health information quality) and PEMAT-A/V (Patient Education Materials Assessment Tool for Audiovisual Materials) instruments. RESULTS: Doctors were the main source of the videos (136/138, 98.6%). The overall information quality of the videos was acceptable (median 3, IQR 1). Videos on Douyin showed relatively high understandability (median 75%, IQR 16.6%) but poor actionability (median 66.7%, IQR 48%). Most content on oral diabetes medications on Douyin related to the mechanism of action (75/138, 54.3%), precautions (70/138, 50.7%), and advantages (68/138, 49.3%), with limited content on indications (19/138, 13.8%) and contraindications (14/138, 10.1%). It was found that 10.1% (14/138) of the videos contained misinformation, of which 50% (7/14) were about the method of administration. Regarding user comment attitudes, the majority of videos garnered positive comments (81/138, 58.7%), followed by neutral comments (46/138, 33.3%) and negative comments (11/138, 8%). Multinomial logistic regression revealed 2 factors influencing a positive attitude: user comment count (adjusted odds ratio [OR] 1.00, 95% CI 1.00-1.00; P=.02) and information quality of treatment choices (adjusted OR 1.49, 95% CI 1.09-2.04; P=.01). CONCLUSIONS: Despite most videos on Douyin being posted by doctors, with generally acceptable information quality and positive user comment attitudes, some content inaccuracies and poor actionability remain. Users show more positive attitudes toward videos with high-quality information about treatment choices. This study suggests that health care providers should ensure the accuracy and actionability of video content, enhance the information quality of treatment choices of oral diabetes medications to foster positive user attitudes, help users access accurate health information, and promote medication adherence.

A Transtheoretical Model-Based Online Intervention to Improve Medication Adherence for Chinese Adults Newly Diagnosed With Type 2 Diabetes: A Mixed-Method Study.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is increasing in China, with medication non-adherence being a significant contributor to uncontrolled T2DM. The Transtheoretical Model (TTM) has shown effectiveness in chronic disease management, but few studies have applied it in online interventions for T2DM medication adherence. AIM: The study aimed to develop and investigate the effects of a TTM-based online health education program on promoting positive stage of change (SOC) movement, improving self-efficacy and medication adherence, as well as reducing HbA1c levels in newly diagnosed patients with T2DM. METHODS: This sequential mixed-method study was conducted from April 2023 to March 2024. Using the TTM framework, the study initially explored 32 participants' experiences with hypoglycemic medications, health information acquisition, and perspectives on online programs. Then, a quasi-experimental study design was conducted. Two communities were randomly assigned as the intervention (n = 91) and comparison (n = 98) groups, with 189 newly diagnosed middle-aged T2DM patients from various SOC. The intervention group received short videos health education and participated in WeChat group discussions, compared with usual care in the comparison group. Data were collected at baseline, 3-month, and 6-month follow-ups. RESULTS: The intervention group was more likely to achieve positive SOC movement (P < .001, Adj OR = 13.69 95% CI = 6.76-27.71) compared to the comparison group. The intervention group also had significantly higher mean CDMSS-11 and MMAS-8 scores at 6 months (P = .03 and <.001, respectively) and more likely to achieve clinically significant glycated Hemoglobin (HbA1c) change at 3 months (P < .001, Adj OR = 3.91, 95% CI = 1.77-8.63) and at 6 months (P < .001, Adj OR = 5.62, 95% CI = 2.70-11.69) compared to the comparison group. CONCLUSION: These findings support that applying the TTM to develop an online program could promote behavior change, improve self-efficacy and medication adherence, and could lead to better glycemic control in newly diagnosed T2DM patients.

Perceptions of the 2D short animated videos for literacy against chronic diseases among adults with diabetes and/or hypertension: a qualitative study in primary care clinics.

BACKGROUND: Animation has promise for teaching complex health content through smartphone applications. However, smartphones have had limited use in Thailand for health literacy improvement among adults with chronic diseases. This study aims to explore the perceptions of adults with diabetes and/or hypertension resulting from 2D short animated videos for literacy against chronic disease that are available via smartphones. METHODS: Four animated videos were initially developed based on clinical practice guidelines and nursing experience. Physicians, an expert in health education, and an animation team developed and revised scripts and storyboards of the animated videos. Lastly, videos were validated by physicians and health educators for content breadth and depth and by media experts for motion graphics and illustration. Each video presents a different situation in diabetes, hypertension, missing appointments, and obesity, ranging from 2.18 to 4.14 min in duration. The inclusion criteria were adults 35-70 years old with diabetes or hypertension who received care from primary care units. Thematic analysis was performed on the extracted data. RESULTS: Twenty participants with a mean age of 58.4 years (SD 6.7; ranged 41-68) were focus-group interviewed. Three animation elements were assessed, including presentation, impacts, and suggestions. Participants had positive responses regarding the presentation (suitability of images and smooth motion graphics, short length of videos, simple language, understandable content, and clear sound) and impacts (recalling information, enhancing engagement, and motivating health awareness and behavior change). Suggested improvements were for a bigger font size for subtitles and considering the use of spoken text instead of on-screen text for recommendations at the end of the animations. CONCLUSIONS: Animated videos are acceptable for delivering health information. Pilot testing animated videos for promoting literacy against chronic diseases in adults with diabetes and hypertension is needed for optimal utility.

Factors associated with COVID-19 preventive behaviors among taxi drivers in Bangkok.

Objectives: This paper aimed to identify factors associated with COVID-19 preventive behaviors among taxi drivers in Bangkok. Methods: This cross-sectional study included 401 taxi drivers. Data were analyzed using descriptive statistics. The association between predisposing factors, enabling factors, and reinforcing factors with COVID-19 preventive behaviors was analyzed by using analysis of variance and Pearson's Product Moment Correlation. Multiple linear regression analysis was used to determine the influencing factors in predicting COVID-19 preventive behaviors of taxi drivers. Results: The present findings revealed that income adequacy, support from family, co-workers, and healthcare professionals, perceived susceptibility, severity, benefits, barriers, and health motivation, accessibility to personal protective equipment for COVID-19 and preventative measures against COVID-19 from other agencies were associated with good COVID-19 preventive behaviors among taxi-driver in Bangkok during COVID-19 pandemic (R 2 = 0.349, p = 0.008). The model could predict 34.9% of variance in COVID-19 preventative behavior among taxi drivers. Conclusion: Taxi drivers should be encouraged to engage in appropriate preventive behaviors against COVID-19, emphasizing the individual and organizational levels. There should be a policy by organizations to promote the implementation of COVID-19 safety control standards to ensure safe working conditions. In addition, appropriate welfare benefits should be provided for taxi drivers, such as loans, personal protective equipment, and access to health services to improve COVID-19 preventive behaviors.

Estimation of the onset time of diabetic complications in type 2 diabetes patients in Thailand: a survival analysis.

BACKGROUND: This study aimed to identify factors associated with the onset time of diabetic complications in patients with type 2 diabetes mellitus (T2DM) and determine the best-fitted survival model. METHODS: A retrospective cohort study was conducted among T2DM patients enrolled from October 1, 2016 to July 15, 2020 at the National Health Security Office (NHSO). In total, 388 T2DM patients were included. Cox proportional-hazard and parametric models were used to identify factors related to the onset time of diabetic complications. The Akaike information criterion, Bayesian information criterion, and Cox-Snell residual were compared to determine the best-fitted survival model. RESULTS: Thirty diabetic complication events were detected among the 388 patients (7.7%). A 90% survival rate for the onset time of diabetic complications was found at 33 months after the first T2DM diagnosis. According to multivariate analysis, a duration of T2DM ≥42 months (time ratio [TR], 0.56; 95% confidence interval [CI], 0.33-0.96; p=0.034), comorbid hypertension (TR, 0.30; 95% CI, 0.15-0.60; p=0.001), mildly to moderately reduced levels of the estimated glomerular filtration rate (eGFR) (TR, 0.43; 95% CI, 0.24-0.75; p=0.003) and an eGFR that was severely reduced or indicative of kidney failure (TR, 0.38; 95% CI, 0.16-0.88; p=0.025) were significantly associated with the onset time of diabetic complications (p<0.05). CONCLUSION: Patients with T2DM durations of more than 42 months, comorbid hypertension, and decreased eGFR were at risk of developing diabetic complications. The NHSO should be aware of these factors to establish a policy to prevent diabetic complications after the diagnosis of T2DM.

Characteristics of drug-related problems and pharmacist's interventions in hospitalized patients in Thailand: a prospective observational study.

Drug-related problems (DRPs) are a major health concern. A better understanding of the characteristics of DRPs throughout the hospital stay may help to tailor pharmaceutical care services (PCS). This study aims to describe the characteristics of DRPs and to compare DRP pattern in different stages of hospital stay. DRPs were identified by clinical pharmacists as part of their routine services. Pharmacist assessed causality, severity and preventability of DRP. A total of 316 preventable DRPs occurred in 257 patients with the median of 1 (rang 1-3) DRPs per patient. 46.8% of DRPs occurred at discharge than at other stages. The most frequent cause of DRP was no drug treatment in spite of existing indication, accounting for 32.3% of all DRPs. No drug treatment with existing indication was detected frequently at discharge (56.1%) compared with other stages (p-value < 0.001). The common intervention to physician was starting a drug (34.0%) and the acceptance rate was 95.8%. DRPs in hospitalized patients occur at any stage of the hospital stay. Systematic identification of DRP characteristics enables pharmacists to tailor optimal type of PCS required and hence improve patient safety.