Care maps are an effective tool for optimizing quality of care of infectious diseases in a resource-constrained short-stay ambulatory care setting

Care maps (CMs), which are innovative, comprehensive, educational, and simple medical tools, were developed for 6 common diseases, including heart failure, stroke, hyperglycemia, urinary tract infection, dengue infection, and upper gastrointestinal bleeding, were implemented in a short-stay ambulatory ward. This study aimed to investigate the effectiveness of and level of clinician satisfaction with CMs in an ambulatory care setting. A retrospective chart review study comparing the quality of care between before and after CM implementation was conducted. The medical records of patients who were admitted to a short-stay ambulatory ward in a tertiary referral center were reviewed. Demographic data, severity of disease, quality of care, length of stay (LOS), admission cost, and CM user satisfaction were collected and recorded. The medical records of 1116 patients were evaluated. Of those, 589 and 527 patients were from before (non-CM group) and after CM (CM group) implementation, respectively. There were no significant differences between groups for age, gender, or disease-specific severity the median (interquartile range) total and essential quality scores were significantly higher in the CM group than in the non-CM group [total quality score 85.3 (75.0–92.9) vs 61.1 (50.0–75.0); P < .001, and essential quality scores 90.0 (75.0–100.0) vs 60.0 (40.6–80.0); P < .0001, respectively]. All aspects of quality of care were significantly improved between before and after CM implementation. Overall median LOS was significantly decreased from 3.8 (2.5–5.7) to 3.0 (2.0–4.9) days, but there was no significant decrease for admission cost. However, CMs were able to significantly reduce both LOS and admission cost in the infectious disease-related subgroup. Most CM users reported satisfaction with CMs. CMs were shown to be an effective tool for improving the quality of care in patients with ambulatory infectious diseases. In that patient subgroup, LOS and admission cost were both significantly reduced compared to pre-CM implementation

Accuracy and the factors influencing the accuracy of death certificates completed by first-year general practitioners in Thailand

Background Although death certificates (DCs) provide valuable health information which may help to guide local health policies and priorities, there is little information concerning their validity in Thailand. First-year general practitioners (GPs) have a major role in DC completion, especially in provincial general hospitals. The aim of this study was to evaluate the accuracy and factors influencing the accuracy of DCs completed by first-year GPs in Thailand, compared with the cause of death (COD) derived from medical records by experts. Methods This retrospective study was conducted at 14 provincial general hospitals in Thailand during the June 2011 to May 2012 study period. Medical records and DCs completed by first-year GPs who graduated from 16 Thai medical schools were sampled. The cause of death recorded on the DCs was compared with the medical conditions and histories derived from patient medical records. A cross-sectional survey of the 210 GPs who completed the DCs reviewed in this study was also conducted. Respondent GPs’ demographic characteristics, factors associated with COD, and COD coding system were evaluated. Results Five hundred and sixty-three medical records and corresponding DCs were included. Of those, 36.9% of DCs were found to be correct. Common mistakes included incorrect sequence of events leading to death (32.4%), and mode of death use (26.2%). Of the 210 GPs, 155 questionnaires were completed and returned. The mean time spent on recording COD and completing DCs in the medical school curriculum was 2.1 ± 0.9 h and only 27.7% of participants had experience in completing DCs by themselves during medical school. Mean medical school GPA was significantly higher in the correctly completed DC GPs group than in the incorrectly completed DC GPs group (3.3 ± 0.4 vs. 3.2 ± 0.3; p = 0.03). However, no significant difference was found for other factors associated with COD between groups. Conclusions This is the first study documenting gaps and disparities in DC accuracy, and factors influencing completion of DCs among first-year GPs in Thailand, based on a clinical assessment of medical records. GPs made errors on 63.1% of DCs. This finding suggests that proven education, system-related support, and additional training interventions specific to DC completion are required

Cardiometabolic risk factors in Thai individuals with prediabetes treated in a high-risk, prevention clinic - unexpected relationship between HDL cholesterol and glycaemia in men

BACKGROUND: Relationships between cardiometabolic risk and glycaemia have been rarely studied in people under clinical evaluation and treatment for cardiometabolic risk and with prediabetes. We investigated relationships between glycaemia and cardiometabolic risk factors in clinic participants with prediabetes. METHODS: This was a cross-sectional analysis of data collected at a centre in Thailand. Clinic attendees were at high-risk of diabetes or cardiovascular disease, with HbA1c 39-<48 mmol/mol or fasting plasma glucose (FPG) 5.6-<7.0 mmol/L. The relationships between glycaemia and cardiometabolic risk factors were explored. RESULTS: Of 357 participants, two or more insulin resistance-related metabolic disturbances were present in 84%; 61% took a statin and 75% an antihypertensive agent. Independently of age, gender, adiposity, medication use, possible NAFLD and gender-glycaemia interaction, neither FPG nor HbA1c were associated with variation in any other cardiometabolic risk factors. HDL cholesterol decreased with HbA1c in women (female*HbA1c interaction, p=0.03) but, unexpectedly, increased with FPG in men (male*FPG interaction, p=0.02). CONCLUSION: Overall, in Thai people treated for high-cardiometabolic risk and with prediabetes defined by FPG and/or HbA1c, neither FPG nor HbA1c were associated with other cardiometabolic risk factors. However, according to gender, HDL cholesterol showed the expected relationship with glycaemia in women but the reverse in men

Fasting plasma glucose and variation in cardiometabolic risk factors in people with high-risk HbA1c-defined prediabetes: a cross-sectional multiethnic study.

AIMS: Variation in cardiometabolic risk in prediabetes and any impacts of ethnicity on such variation have been little studied. In an ethnically diverse dataset, selected according to a high-risk HbA1c-based definition of prediabetes, we have investigated relationships between glycaemia and cardiometabolic risk factors and the influence of ethnicity on these relationships. METHODS: We undertook a cross-sectional analysis of baseline data from a diabetes prevention study in the UK and a chronic care clinic in Thailand, selected for people without diabetes (fasting plasma glucose <7.0 mmol/l) with HbA1c 6.0% - 6.4% (42-47 mmol/mol). Thai (n=158) and UK White (n=600), South Asian (n=112), Black (n=70) and other/mixed (n=103) groups were distinguished and measurements included fasting plasma glucose (FPG), blood pressure (BP), lipids and insulin resistance-related risk factors (IRFs). RESULTS: Independently of individual characteristics including ethnicity, only systolic BP was weakly associated with FPG (beta coefficient 1.76 (95%CI 0.10 to 3.42), p=0.03), and only LDL-c with IFG (FPG 5.6-<7) (adjusted -0.14 (-0.27, -0.003) p 0.04). There were no significant independent associations with cardiometabolic risk factors when categories of impaired fasting glucose (FPG ≥ 6.1 to <7.0 mmol/L) were considered. Relative to White, South Asian ethnicity was independently associated with lower systolic and diastolic BP, Black with lower triglycerides, cholesterol/HDL-c ratio and having 2 or more IRFs, and Thai with lower cholesterol/HDL-c ratio and all three non-white ethnicities with lower total and LDL cholesterol. CONCLUSION: In high-risk HbA1c-defined prediabetes additional measurement of FPG will add little to evaluation of cardiometabolic risk. Additionally, UK Whites tend to have the most adverse cardiometabolic profile of any ethnic group

A study protocol for a randomised crossover study evaluating the effect of diets differing in carbohydrate quality on ileal content and appetite regulation in healthy humans

Introduction: A major component of the digesta reaching the colon from the distal ileum is carbohydrate. This carbohydrate is subject to microbial fermentation and can radically change bacterial populations in the colon and the metabolites they produce, particularly short-chain fatty acids (SCFA). However, very little is currently known about the forms and levels of carbohydrate in the ileum and the composition of the ileal microbiota in humans. Most of our current understanding of carbohydrate that is not absorbed by the small intestine comes from ileostomy models, which may not reflect the physiology of an intact gastrointestinal tract. Methods: We will investigate how ileal content changes depending on diet using a randomised crossover study in healthy humans. Participants will be inpatients at the research facility for three separate 4-day visits. During each visit, participants will consume one of three diets, which differ in carbohydrate quality: 1) low-fibre refined diet; 2) high-fibre diet with intact cellular structures; 3) high-fibre diet where the cellular structures have been disrupted (e.g. milling, blending). On day 1, a nasoenteric tube will be placed into the distal ileum and its position confirmed under fluoroscopy. Ileal samples will be collected via the nasoenteric tube and metabolically profiled, which will determine the amount and type of carbohydrate present, and the composition of the ileal microbiota will be measured. Blood samples will be collected to assess circulating hormones and metabolites. Stool samples will be collected to assess faecal microbiota composition. Subjective appetite measures will be collected using visual analogue scales. Breath hydrogen will be measured in real-time as a marker of intestinal fermentation. Finally, an in vitro continuous fermentation model will be inoculated with ileal fluid in order to understand the shift in microbial composition and SCFA produced in the colon following the different diets. Registration: ISRCTN11327221