Do prospective payment systems (PPSs) lead to desirable providers' incentives and patients' outcomes? a systematic review of evidence from developing countries

The reform of provider payment systems, from retrospective to prospective payment, has been heralded as the right move to contain costs in the light of rising health expenditures in many countries. However, there are concerns on quality trade-off. The heightened attention given to prospective payment system (PPS) reforms and the rise of empirical evidence regarding PPS interventions among developing countries suggest that a systematic review is necessary to understand the effects of PPS reforms in developing countries. A systematic search of 14 databases and a hand search of health policy journals and grey literature from October to November 2016 were carried out, guided by a set of inclusion and exclusion criteria. Data were extracted based on the Consolidated Health Economics Evaluation Reporting Standards checklist. Drummond’s 10-item checklist for economic evaluation, Cochrane Collaboration’s tool in assessing risk of bias for randomized trials, and Risk of Bias in Non-randomized Studies of Interventions were used to critically appraise the evidence. A total of 12 studies reported in China, Thailand and Vietnam were included in this review. Substantial heterogeneity was present in PPS policy design across different localities. PPS interventions were found to have reduced health expenditures on both the supply and demand side, as well as length of stay and readmission rates. In addition, PPS generally improved service quality outcomes by reducing the likelihood or percentage of physicians prescribing unnecessary drugs and diagnostic procedures. PPS is a promising policy tool for middle-income countries to achieve reasonable health policy objectives in terms of cost containment without necessarily compromising the quality of care. More evaluations of PPS will need to be conducted in the future in order to broaden the evidence base beyond middle-income countries

A collaboration platform for enabling industrial symbiosis : towards creating a self-learning waste-to-resource database for recommending industrial symbiosis transactions using text analytics

Industrial Symbiosis (IS) adopts a collaborative approach, which aims to re-channel resources – traditionally considered spent and non-productive – towards alternative value-adding pathways. Empirically, the concept of IS has been rapidly implemented in practice through a facilitated approach, whereby businesses are engaged and “match-made” via a facilitating body. While recommending alternative pathways for companies to establish IS-based transactions is a long-standing practice, recent technological advancement has shifted the nature of this task from one that is based purely on human intellect and reasoning, towards one which leverages intelligent recommendation algorithms to provide relevant suggestions. Traditionally, these recommendation engines rely on manually populated knowledge bases that are not only labor-intensive to build but also costly to maintain. This work presents the creation of a self-learning waste-to-resource database supporting an IS recommendation system by utilizing text analytics techniques. We further demonstrate its practical application to support IS facilitating bodies in their core activity

Communication in the 21st Century: The Effect of internet celebrity as the communication source in influencing generation Z purchase intention

The current corporate landscape is characterized by fierce rivalry, prompting marketers to actively seek strategies to effectively differentiate themselves amidst the abundance of information in the digital realm. One current marketing strategy involves the engagement of online influencers, also known as Internet celebrities, to effectively disseminate information and encourage the intended consumer base to purchase the items offered by their respective companies. In the modern day, it has been customary for individuals who have gained fame through online platforms to create video content with the intention of engaging and influencing their audience on various social media platforms. This practice has now become a norm. Hence, the primary objective of this research is to examine the impact of Internet celebrity on consumer purchase intention, with a specific focus on the Generation Z demographic. The study involved the recruitment of 200 participants from the Generation Z demographic. Data was collected using an online questionnaire that employed 5-point Likert rating scales. The research was conducted by gathering feedback from a sample of 200 respondents belonging to Generation Z. Data collection was conducted through the utilisation of an online questionnaire using 5-Likert rating scales. The findings of the study revealed a significant correlation between credibility and meaning transfer and their impact on purchase intention. The research findings of this study provide marketers and scholars with valuable insights into the ways in which Internet superstars might employ persuasive messaging to impact the purchasing intentions of Generation Z

Digital health promotion: promise and peril

The World Health Organization defines health promotion as process of enabling people to increase control over their health and its determinants, and thereby improve their health. As the world transitions into the information age, incorporating digital technologies into health promotion is becoming commonplace. This article discusses current applications of digital health promotion (DHP) and addresses its potential benefits, challenges, as well as how differences in cultures, governance models and digital readiness across the globe will shape the implementation of DHP differently in each society. The benefits include expanding access to health information and health promoting services, lowering scaling up costs, personalizing health advice and real-time ‘nudging’ toward healthier options. Key challenges would involve privacy control, appropriate use of data including secondary usage beyond the original intention, defining the limits of ‘nudging’ and the right of free choice, and ensuring widespread accessibility and affordability to minimize the exacerbation of social inequities. Finally, we discuss the enabling factors for successful DHP implementation, suggesting measures that should be taken at both individual and system levels. At the individual level, we explore the factors necessary to access and benefit from DHP meaningfully; at the system level, we examine the infrastructure required to provide wide access, establish trust among users and enable sustainability of behavioral changes.http://heapro.oxfordjournals.orghj2022Speech-Language Pathology and Audiolog

Kalman Filter Models for the Prediction of Individualised Thermal Work Strain

It is important to monitor and assess the physiological strain of individuals working in hot environments to avoid heat illness and performance degradation. The body core temperature (Tc) is a reliable indicator of thermal work strain. However, measuring Tc is invasive and often inconvenient and impractical for real-time monitoring of workers in high heat strain environments. Seeking a better solution, the main aim of the present study was to investigate the Kalman filter method to enable the estimation of heat strain from non-invasive measurements (heart rate (HR) and chest skin temperature (ST)) obtained ‘online’ via wearable body sensors. In particular, we developed two Kalman filter models. First, an extended Kalman filter (EFK) was implemented in a cubic state space modelling framework (HR versus Tc) with a stage-wise, autoregressive exogenous model (incorporating HR and ST) as the time update model. Under the second model, the online Kalman filter (OFK) approach builds up the time update equation depending only on the initial value of Tc and the latest value of the exogenous variables. Both models were trained and validated using data from laboratory- and outfield-based heat strain profiling studies in which subjects performed a high intensity military foot march. While both the EKF and OKF models provided satisfactory estimates of Tc, the results showed an overall superior performance of the OKF model (overall root mean square error, RMSE = 0.31°C) compared to the EKF model (RMSE = 0.45°C)

Replication and Meta-analysis of the Association between BDNF Val66Met Polymorphism and Cognitive Impairment in Patients Receiving Chemotherapy.

Cancer-related cognitive impairment (CRCI) adversely affects cancer patients. We had previously demonstrated that the BDNF Val66Met genetic polymorphism is associated with lower odds of subjective CRCI in the multitasking and verbal ability domains among breast cancer patients receiving chemotherapy. To further assess our previous findings, we evaluated the association of BDNF Val66Met polymorphism with subjective and objective CRCI in a temporally separate cohort of patients and pooled findings from both the original (n = 145) and current (n = 193) cohorts in a meta-analysis. Subjective CRCI was assessed using FACT-Cog. Objective CRCI was evaluated using computerized neuropsychological tests. Genotyping was carried out using Sanger sequencing. The association of BDNF Val66Met genotypes and CRCI was examined with logistic regression. A fixed-effect meta-analysis was conducted using the inverse variance method. In the meta-analysis (n = 338), significantly lower odds of CRCI were associated with Met allele carriers based on the global FACT-Cog score (OR = 0.52, 95% CI 0.29-0.94). Furthermore, Met allele carriers were at lower odds of developing impairment in the domains of memory (OR = 0.34, 95% CI: 0.17-0.70), multitasking (OR = 0.33, 95% CI: 0.18-0.59), and verbal ability (OR = 0.46, 95% CI: 0.24-0.88). Consistent with the previous study, lower odds of subjective CRCI among patients with the BDNF Met allele was observed after adjusting for potential confounders in the multitasking (OR = 0.30, 95% CI: 0.14-0.67) domain. In conclusion, carriers of the BDNF Met allele were protected against global subjective CRCI, particularly in the domains of memory, multitasking, and verbal ability. Our findings further contribute to the understanding of CRCI pathophysiology

Understanding health and social challenges for aging and long-term care in China

The second King’s College London Symposium on Ageing and Long-term Care in China was convened from 4 to 5th July 2019 at King’s College London in London. The aim of the Symposium was to have a better understanding of health and social challenges for aging and long-term care in China. This symposium draws research insights from a wide range of disciplines, including economics, public policy, demography, gerontology, public health and sociology. A total of 20 participants from eight countries, seek to identify the key issues and research priorities in the area of aging and long-term care in China. The results published here are a synthesis of the top four research areas that represent the perspectives from some of the leading researchers in the field. © The Author(s) 2020

Implementing an Inclusive, Multidisciplinary Supportive Care Model to Provide Integrated Care to Breast and Gynaecological Cancer Survivors: A Case Study at an Asian Ambulatory Cancer Centre

Introduction: Supportive care models considering inclusivity and community services to improve integrated care for cancer survivors are limited. In this case study, we described the implementation of a multidisciplinary care model employing routine distress screening and embedded integrated care pathways to integrate care across disciplines and care sectors, while remaining inclusive of the multi-ethnic and multilingual population in Singapore. We reported implementation outcomes after 18 months of implementation. Description: We reviewed the model’s process indicators from September 2019 to February 2021 at the largest public ambulatory cancer centre. Outcomes assessed included penetration, fidelity to screening protocol, and feasibility in three aspects – inclusiveness of different ethnic and language groups, responsiveness to survivors reporting high distress, and types of community service referrals. Discussion/conclusion: We elucidated opportunities to promote access to community services and inclusivity. Integration of community services from tertiary settings should be systematic through mutually beneficial educational and outreach initiatives, complemented by their inclusion in integrated care pathways to encourage systematic referrals and care coordination. A hybrid approach to service delivery is crucial in ensuring inclusivity while providing flexibility towards external changes such as the COVID-19 pandemic. Future work should explore using telehealth to bolster inclusiveness and advance community care integration

Health financing policies during the COVID-19 pandemic and implications for universal health care: a case study of 15 countries

Background The COVID-19 pandemic was a health emergency requiring rapid scal resource mobilisation to support national responses. The use of e ective health nancing mechanisms and policies, or lack thereof, a ected the impact of the pandemic on the population, particularly vulnerable groups and individuals. We provide an overview and illustrative examples of health nancing policies adopted in 15 countries during the pandemic, develop a framework for resilient health nancing, and use this pandemic to argue a case to move towards universal health coverage (UHC). Methods In this case study, we examined the national health nancing policy responses of 15 countries, which were purposefully selected countries to represent all WHO regions and have a range of income levels, UHC index scores, and health system typologies. We did a systematic literature review of peer-reviewed articles, policy documents, technical reports, and publicly available data on policy measures undertaken in response to the pandemic and complemented the data obtained with 61 in-depth interviews with health systems and health nancing experts. We did a thematic analysis of our data and organised key themes into a conceptual framework for resilient health nancing. Findings Resilient health nancing for health emergencies is characterised by two main phases: (1) absorb and recover, where health systems are required to absorb the initial and subsequent shocks brought about by the pandemic and restabilise from them; and (2) sustain, where health systems need to expand and maintain scal space for health to move towards UHC while building on resilient health nancing structures that can better prepare health systems for future health emergencies. We observed that ve key nancing policies were implemented across the countries— namely, use of extra-budgetary funds for a swift initial response, repurposing of existing funds, e cient fund disbursement mechanisms to ensure rapid channelisation to the intended personnel and general population, mobilisation of the private sector to mitigate the gaps in public settings, and expansion of service coverage to enhance the protection of vulnerable groups. Accountability and monitoring are needed at every stage to ensure e cient and accountable movement and use of funds, which can be achieved through strong governance and coordination, information technology, and community engagement. Interpretation Our ndings suggest that health systems need to leverage the COVID-19 pandemic as a window of opportunity to make health nancing policies robust and need to politically commit to public nancing mechanisms that work to prepare for future emergencies and as a lever for UHC.We thank the management team of the Bill & Melinda Gates Foundation and the Saw Swee Hock School of Public Health (National University of Singapore, Singapore) for all the administrative support given. This research was funded by the Bill & Melinda Gates Foundation (Investment ID INV-005598)

Nocturnal Lifestyle Behaviours and Risk of Poor Sleep during Pregnancy

The extent to which lifestyle practices at night influence sleep quality in pregnant women remains unknown. This study aimed to examine whether nocturnal behaviours were associated with poor sleep during pregnancy. We performed a cross-sectional analysis of a prospective cohort of pregnant women at 18–24 gestation weeks recruited from KK Women’s and Children’s Hospital, Singapore, between 2019 and 2021. Nocturnal behaviours were assessed with questionnaires, and sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) with a global score ≥5 indicative of poor sleep quality. Modified Poisson regression and linear regression were used to examine the association between nocturnal behaviour and sleep quality. Of 299 women, 117 (39.1%) experienced poor sleep. In the covariate-adjusted analysis, poor sleep was observed in women with nocturnal eating (risk ratio 1.51; 95% confidence interval [CI] 1.12, 2.04) and nocturnal artificial light exposure (1.63; 1.24, 2.13). Similarly, nocturnal eating (β 0.68; 95% CI 0.03, 1.32) and light exposure (1.99; 1.04, 2.94) were associated with higher PSQI score. Nocturnal physical activity and screen viewing before bedtime were not associated with sleep quality. In conclusion, reducing nocturnal eating and light exposure at night could potentially improve sleep in pregnancy.publishedVersionPeer reviewe