The economic burden associated with stillbirth: A systematic review.

BACKGROUND: Evidence on the economic burden of stillbirth is limited. In this systematic review, we aimed to identify studies focusing on the economic burden of stillbirth, describe the methods used, and summarize the findings. METHOD: We performed a systematic search in Medline, EMBASE, Cochrane library, and EconLit from inception to July 2021. Original studies reporting the cost of illness, economic burden, or health care expenditures related to stillbirth were included. Two reviewers independently extracted data and evaluated study quality using the Larg and Moss checklist. A narrative synthesis was performed. Costs were presented in US dollars (US$) in 2020. RESULTS: From the 602 records identified, a total of four studies were included. Eligible studies were from high-income countries. Only one study estimated both direct and indirect costs. Among three cost-of-illness studies, two studies undertook a prevalence-based approach. The quality of these studies varied and was substantially under-reported. Four studies describing direct costs ranged from $6934 to $9220 per stillbirth. Indirect costs account for around 97% of overall costs. No studies have incorporated intangible cost components. CONCLUSIONS: The economic burden of stillbirth has been underestimated and not extensively studied. There are no data on the cost of stillbirth from countries that bear a higher burden of stillbirth. Extensive variation in methodologies and cost components was observed in the studies reviewed. Future research should incorporate all costs, including intangible costs, to provide a comprehensive picture of the true economic impact of stillbirth on society.

The impact of pharmacist involvement on immunization uptake and other outcomes: An updated systematic review and meta-analysis.

BACKGROUND: The underutilization of immunization services remains a big public health concern. Pharmacists can address this concern by playing an active role in immunization administration. OBJECTIVE: We performed a systematic review and meta-analysis to assess the impact of pharmacist-involved interventions on immunization rates and other outcomes indirectly related to vaccine uptake. METHODS: A systematic literature search was conducted using MEDLINE, Embase, and Cochrane Central Register of Controlled Trials databases from inception to February 2022 to identify randomized controlled trials (RCTs) and observational studies in which pharmacists were involved in the immunization process. Studies were excluded if no comparator was reported. Two reviewers independently completed data extraction and bias assessments using standardized forms. Meta-analyses were performed using a random-effects model. RESULTS: A total of 14 RCTs and 79 observational studies were included. Several types of immunizations were provided, including influenza, pneumococcal, herpes zoster, Tdap, and others in a variety of settings (community pharmacy, hospital, clinic, others). Pooled analyses from RCTs indicated that a pharmacist as immunizer (risk ratio 1.14 [95% CI 1.12-1.15]), advocator (1.31 [1.17-1.48]), or both (1.14 [1.12-1.15]) significantly increased immunization rates compared with usual care or non-pharmacist-involved interventions. The quality of evidence was assessed as moderate or low for those meta-analyses. Evidence from observational studies was consistent with the results found in the analysis of the RCTs. CONCLUSION: Pharmacist involvement as immunizer, advocator, or both roles has favorable effects on immunization uptake, especially with influenza vaccines in the United States and some high-income countries. As the practice of pharmacists in immunization has been expanded globally, further research on investigating the impact of pharmacist involvement in immunization in other countries, especially developing ones, is warranted.

Incorporating social determinants of health into transmission modeling of COVID-19 vaccine in the US: a scoping review.

During COVID-19 in the US, social determinants of health (SDH) have driven health disparities. However, the use of SDH in COVID-19 vaccine modeling is unclear. This review aimed to summarize the current landscape of incorporating SDH into COVID-19 vaccine transmission modeling in the US. Medline and Embase were searched up to October 2022. We included studies that used transmission modeling to assess the effects of COVID-19 vaccine strategies in the US. Studies' characteristics, factors incorporated into models, and approaches to incorporate these factors were extracted. Ninety-two studies were included. Of these, 11 studies incorporated SDH factors (alone or combined with demographic factors). Various sets of SDH factors were integrated, with occupation being the most common (8 studies), followed by geographical location (5 studies). The results show that few studies incorporate SDHs into their models, highlighting the need for research on SDH impact and approaches to incorporating SDH into modeling. Funding: This research was funded by the Centers for Disease Control and Prevention (CDC).

Implementation challenges and real-world impacts of switching pediatric vaccines: A global systematic literature review.

Switching a vaccine for another on a pediatric national immunization program is often done for the betterment of society. However, if poorly implemented, switching vaccines could result in suboptimal transitions with negative effects. A systematic review was conducted to evaluate the existing knowledge from identifiable documents on implementation challenges of pediatric vaccine switches and the real-world impact of those challenges. Thirty-three studies met the inclusion criteria. We synthesized three themes: vaccine availability, vaccination program deployment, and vaccine acceptability. Switching pediatric vaccines can pose unforeseen challenges to health-care systems worldwide and additional resources are often required to overcome those challenges. Yet, the magnitude of the impact, especially economic and societal, was frequently under-researched with variability in reporting. Therefore, an efficient vaccine switch requires a thorough consideration of the added benefits of replacing the existing vaccine, preparation, planning, additional resource allocation, implementation timing, public-private partnerships, outreach campaigns, and surveillance for program evaluation.

Cost-effectiveness analysis of HLA-B*13:01 screening for the prevention of co-trimoxazole-induced severe cutaneous adverse reactions among HIV-infected patients in Thailand.

Studies found a strong association between HLA-B*13:01 allele and co-trimoxazole-induced severe cutaneous adverse reactions (SCARs). Genetic screening before initiation of co-trimoxazole may decrease the incidence of co-trimoxazole-induced SCARs. This study aims to evaluate the cost-effectiveness of HLA-B*13:01 screening before co-trimoxazole initiation in HIV-infected patients in Thailand. A combination of a decision tree model and a Markov model was used to estimate lifetime costs and outcomes of two strategies including 1) HLA-B*13:01 screening before co-trimoxazole initiation and 2) usual practice from a societal perspective. Alternative drugs are not considered because dapsone (the second-line drug) also presents a genetic risk. Input parameters were obtained from literature, government documents, and part of the TREAT Asia HIV Observational Database (TAHOD). One-way sensitivity analyses and probabilistic analyses were performed to determine robustness of the findings. HLA-B*13:01 screening resulted in 0.0061 quality-adjusted life years (QALYs) loss with an additional cost of 370 THB ($11.84). At the cost-effectiveness threshold of 160,000 THB ($5,112.85), the probability of the genetic screening strategy being cost-effective is 9.54%. This analysis demonstrated that HLA-B*13:01 allele screening before initiation of co-trimoxazole among HIV-infected patients is unlikely to be cost-effective in Thailand. Our findings will help policymakers make an evidence-informed decision making.

Scoping review of modelling studies assessing the impact of disruptions to essential health services during COVID-19.

BACKGROUND: Studies assessing the indirect impact of COVID-19 using mathematical models have increased in recent years. This scoping review aims to identify modelling studies assessing the potential impact of disruptions to essential health services caused by COVID-19 and to summarise the characteristics of disruption and the models used to assess the disruptions. METHODS: Eligible studies were included if they used any models to assess the impact of COVID-19 disruptions on any health services. Articles published from January 2020 to December 2022 were identified from PubMed, Embase and CINAHL, using detailed searches with key concepts including COVID-19, modelling and healthcare disruptions. Two reviewers independently extracted the data in four domains. A descriptive analysis of the included studies was performed under the format of a narrative report. RESULTS: This scoping review has identified a total of 52 modelling studies that employed several models (n=116) to assess the potential impact of disruptions to essential health services. The majority of the models were simulation models (n=86; 74.1%). Studies covered a wide range of health conditions from infectious diseases to non-communicable diseases. COVID-19 has been reported to disrupt supply of health services, demand for health services and social change affecting factors that influence health. The most common outcomes reported in the studies were clinical outcomes such as mortality and morbidity. Twenty-five studies modelled various mitigation strategies; maintaining critical services by ensuring resources and access to services are found to be a priority for reducing the overall impact. CONCLUSION: A number of models were used to assess the potential impact of disruptions to essential health services on various outcomes. There is a need for collaboration among stakeholders to enhance the usefulness of any modelling. Future studies should consider disparity issues for more comprehensive findings that could ultimately facilitate policy decision-making to maximise benefits to all.

Potential changes in vaccine access and policy landscape in Thailand post COVID-19 pandemic.

The COVID-19 pandemic has had a dramatic impact on society, but little is known about how the pandemic affects the vaccine policy landscape and public perception of vaccines in Thailand. This study aims to describe potential changes in Thailand's policy landscape post-pandemic. We performed a literature review and in-depth interviews with 12 key informants to understand the policy landscape in Thailand. The findings were shared in a policy forum in December 2021. Several key findings were summarized. Funding and development have been thriving during the pandemic. However, a long-term commitment from all stakeholders is required to maintain policy continuation. A public-private partnership should be considered. The regulatory body needs to be prepared for product authorization. The vaccine introduction decision-making process, and investment in prevention and promotion, should further be discussed. In summary, it is important to reshape the environment and mentality of all stakeholders to create a sustainable and self-sufficient vaccine ecosystem.