Value of pharmacy services for common illness symptoms covered by universal coverage at drugstore compared to outpatient services at a hospital in Thailand.

Background: Drug stores is an option that people can receive health care services for their common illnesses. This is the first study aims to estimate cost savings for 16 common illness symptoms to the Thailand's health system. Method: This study gathered retrospective secondary data from several studies and surveyed the median cost of medicines. Cost savings of care provided by pharmacists at drug stores in comparison to out-patient department (OPD) services at hospitals were quantified using cost of illness approach. Results: The average number of hospital visits for treatment for 16 common illness symptoms was 2,356 visits per month. The estimation of the cost savings per visit from three perspectives, including government, patient, and societal, at tertiary care hospitals were 12.7-19.4, 12.7-25.6, and 18.9-25.6 USD, and at secondary care hospitals were 6.0-12.7, 6.0-18.9, and 12.2-18.9 USD. Every $1 reimbursed at drug stores will save additional costs in Thailand's health system, ranging from $0.04 to $0.24 and $0.02 to $0.16 at tertiary care hospitals and secondary hospitals, respectively. Conclusion: Pharmacy services for 16 common illness symptoms can clearly save costs.

Impact of Pharmacist-Led Multidisciplinary Team to Attain Targeted Vancomycin Area under the Curved Monitoring in a Tertiary Care Center in Thailand.

Vancomycin Area Under the Curve (AUC) monitoring has been recommended to ensure successful clinical outcomes and minimize the risk of nephrotoxicity, rather than traditional trough concentration. However, vancomycin AUC monitoring by a pharmacist-led multidisciplinary team (PMT) has not been well established in Southeast Asia. This study was conducted at Thammasat University Hospital. Adult patients aged ≥ 18 years who were admitted and received intravenous vancomycin ≥48 h were included. The pre-PMT period (April 2020-September 2020) was defined as a period using traditional trough concentration, while the post-PMT period (October 2020-March 2021) was defined as a period using PMT to monitor vancomycin AUC. The primary outcome was the rate of achievement of the therapeutic target of an AUC/MIC ratio of 400-600. There was a significantly higher rate of achievement of therapeutic target vancomycin AUC during post-PMT period (66.7% vs. 34.3%, p < 0.001). Furthermore, there was a significant improvement in the clinical cure rate (92.4% vs. 69.5%, p < 0.001) and reduction in 30-day ID mortality (2.9% vs. 12.4%, p = 0.017) during the post-PMT period. Our study demonstrates that PMT was effective to help attain a targeted vancomycin AUC, improve the clinical cure rate, and reduce 30-day ID mortality. This intervention should be encouraged to be implemented in Southeast Asia.

Excess annual economic burdens from nosocomial infections caused by multi-drug resistant bacteria in Thailand.

Background - Antimicrobial resistance (AMR) is a major health threat worldwide as it brings about poorer outcomes and places economic burdens to society. This study aims to estimate the economic burdens from nosocomial infections (NI) caused by multi-drug resistant (MDR) bacteria in Thailand. Research design and methods - A retrospective cohort study was conducted at a tertiary hospital over 2011-2012. A multivariate log-linear regression model was used to estimate the excess treatment costs of AMR to those non-AMR patients. Results - Switching from a non-AMR case to an AMR infection case, resulted in 42% increase in expected average treatment costs per patient. The annual treatment from hospital perspective and antibiotic costs associated with the management of AMR infections were estimated to be US$ 2.3 billion and US$ 262 million, respectively. The estimated annual benefit from eradicating AMR NI were US$ 4.2 billion from a societal perspective with the annual gains in quality-adjusted life years (QALYs) of 0.6 million due to the absence of 111,295 AMR cases each year. Conclusions - Large amount of money was spent on treatment and antibiotic costs to manage AMR infections. Benefit of eliminating these infections was estimated and it would be highly cost-effective.

Enumerating the economic cost of antimicrobial resistance per antibiotic consumed to inform the evaluation of interventions affecting their use.

Background: Antimicrobial resistance (AMR) poses a colossal threat to global health and incurs high economic costs to society. Economic evaluations of antimicrobials and interventions such as diagnostics and vaccines that affect their consumption rarely include the costs of AMR, resulting in sub-optimal policy recommendations. We estimate the economic cost of AMR per antibiotic consumed, stratified by drug class and national income level. Methods: The model is comprised of three components: correlation coefficients between human antibiotic consumption and subsequent resistance; the economic costs of AMR for five key pathogens; and consumption data for antibiotic classes driving resistance in these organisms. These were used to calculate the economic cost of AMR per antibiotic consumed for different drug classes, using data from Thailand and the United States (US) to represent low/middle and high-income countries. Results: The correlation coefficients between consumption of antibiotics that drive resistance in S. aureus, E. coli, K. pneumoniae, A. baumanii, and P. aeruginosa and resistance rates were 0.37, 0.27, 0.35, 0.45, and 0.52, respectively. The total economic cost of AMR due to resistance in these five pathogens was $0.5 billion and $2.9 billion in Thailand and the US, respectively. The cost of AMR associated with the consumption of one standard unit (SU) of antibiotics ranged from $0.1 for macrolides to $0.7 for quinolones, cephalosporins and broad-spectrum penicillins in the Thai context. In the US context, the cost of AMR per SU of antibiotic consumed ranged from $0.1 for carbapenems to $0.6 for quinolones, cephalosporins and broad spectrum penicillins. Conclusion: The economic costs of AMR per antibiotic consumed were considerable, often exceeding their purchase cost. Differences between Thailand and the US were apparent, corresponding with variation in the overall burden of AMR and relative prevalence of different pathogens. Notwithstanding their limitations, use of these estimates in economic evaluations can make better-informed policy recommendations regarding interventions that affect antimicrobial consumption and those aimed specifically at reducing the burden of AMR.