Family economic deprivation and self-esteem among preschoolers.

Previous studies have established a negative correlation between economic deprivation and self-esteem; however, limited insights exist regarding the onset of children linking self-esteem to economic status. To investigate this, we examined 198 preschoolers (96 girls and 102 boys) and their parents (170 mothers and 28 fathers). We assessed children's implicit and explicit self-esteem, whereas parents' reported on both personal relative deprivation and the family's economic objective deprivation. In addition, we explored children's money knowledge as a moderator. Our findings reveal that preschoolers may connect their implicit self-esteem with family economic status; however, such connections require basic knowledge about money. We discuss potential explanations for the influence of family economic deprivation, specifically on the implicit-not explicit-self-esteem of preschoolers.

The Impact of Social Media in Afghanistan: A Multi-Disciplinary Study.

Background: The rapid growth of social media has profoundly transformed communication, community building, and information sharing worldwide. In Afghanistan, the proliferation of social media platforms has significantly impacted the social, cultural, and political landscape, particularly among the youth. Objective: This multi-disciplinary study aims to explore the diverse effects of social media on Afghan youth, focusing on usage patterns, mental health implications, entertainment-driven time allocation, financial expenditures, exposure to explicit content, and academic performance. Methods: A cross-sectional online survey was conducted between September and December 2023, gathering responses from 1556 participants (67% males, 33% females) through various social media platforms. Data were analyzed using SPSS version 26.0, employing statistical tests such as ANOVA and Chi-Square to examine relationships between social media usage and its impacts. Results: The study reveals significant links between social media usage and demographic, behavioral, and mental health factors. Key findings include Facebook as the most used platform (83.6%), with the majority of participants spending 1-3 hours daily on social media. Age differences in time spent were significant (F=15.64, p<0.001). Entertainment was the primary use (45.5%), with gender differences in engagement levels. High anxiety (78.5%) and moderate depression (38.3%) were reported. Significant associations between social media use and mental health were found (eg, χ2=591.87, p<0.001 for nervousness). Excessive use negatively impacted study habits, with 25.7% feeling it hindered their academic performance. Conclusion: This study highlights the multifaceted impacts of social media on Afghan youth, including both positive aspects like enhanced communication and empowerment and negative aspects such as mental health issues and academic challenges. The significant relationships between social media usage and various life aspects underscore the need for targeted interventions to promote healthy digital habits and mitigate adverse effects. Further research is recommended to explore long-term impacts and effective strategies for managing social media use among Afghan youth.

Anticipatory and consummatory neural correlates of monetary and music rewarding stimuli.

Most of the literature on the neural bases of human reward and punishment processing has used monetary gains and losses, but less is known about the neurophysiological mechanisms underlying the anticipation and consumption of other types of rewarding stimuli. In the present study, EEG was recorded from 19 participants who completed a modified version of the Monetary Incentive Delay (MID) task. During the task, cues providing information about potential future outcomes were presented to the participants. Then, they had to respond rapidly to a target stimulus to win money or listening to pleasant music, or to avoid losing money or listening to unpleasant music. Results revealed similar responses for monetary and music cues, with increased activity for cues indicating potential gains compared to losses. However, differences emerged in the outcome phase between money and music. Monetary outcomes showed an interaction between the type of the cue and the outcome in the Feedback Related Negativity and Fb-P3 ERPs and increased theta activity increased for negative feedbacks. In contrast, music outcomes showed significant interactions in the Fb-P3 and theta activities. These findings suggest similar neurophysiological mechanisms in processing cues for potential positive or negative outcomes in these two types of stimuli.

Digital Adherence Technologies Linked to Mobile Money Incentives for Medication Adherence Among People Living With Tuberculosis: Mixed Methods Feasibility and Acceptability Study.

BACKGROUND: Complementing digital adherence technologies (DATs) with mobile money incentives may improve their utility in supporting tuberculosis medication adherence, yet the feasibility and acceptability of this integrated approach remain unclear. OBJECTIVE: This study aims to describe the feasibility and acceptability of a novel DAT intervention called My Mobile Wallet composed of real-time adherence monitoring, SMS text message reminders, and mobile money incentives for tuberculosis medication adherence in a low-income setting. METHODS: We purposively recruited people living with tuberculosis from the Mbarara Regional Referral Hospital in Mbarara, Uganda, who (1) were starting tuberculosis treatment at enrollment or within the past 4 weeks, (2) owned a mobile phone, (3) were able to use SMS test messaging, (4) were aged ≥18 years, and (5) were living in Mbarara district. At study exit (month 6), we used interviews and questionnaires informed by the unified theory of acceptance and use of technology (UTAUT) to collect feasibility and acceptability data, reflecting patients' experiences of using each component of My Mobile Wallet. Feasibility also included tracking the functionality of the adherence monitor (ie, an electronic pillbox) as well as SMS text message and mobile money delivery. We used a content analytical approach to inductively analyze qualitative data and Stata (version 13; StataCorp LLC) to analyze quantitative data. RESULTS: All 39 participants reported that the intervention was feasible because it was easy for them to use (eg, access and read SMS text messages) and worked as expected. Almost all SMS text messages (6880/7064, 97.4%) were sent as planned. The transmission of adherence data from the monitor worked well, with 98.37% (5682/5776) of the data transmitted as planned. All participants additionally reported that the intervention was acceptable because it helped them take their tuberculosis medication as prescribed; the mobile money incentives relieved them of tuberculosis-related financial burdens; SMS text message reminders and electronic pillbox-based alarms reminded them to take their medication on time; and participants perceived real-time adherence monitoring as "being watched" while taking their medication, which encouraged them to take their medication on time to demonstrate their commitment. The intervention was perceived as a sign of care, which eventually created emotional support and a sense of connectedness to health care. Participants preferred daily SMS text message reminders (32/39, 82%) to reminders linked to missed doses (7/39, 18%), citing the fact that tuberculosis medication is taken daily. CONCLUSIONS: The use of real-time adherence monitoring linked to SMS text message reminders and mobile money incentives for tuberculosis medication adherence was feasible and acceptable in a low-resource setting where poverty-based structural barriers heavily constrain tuberculosis treatment and care.

The rise in popularity of central bank digital currencies. A systematic review.

Central bank digital currencies (CBDCs) have been growing in popularity since 2018, as worldwide countries explore their impact and implementation options. This article analyzes the state of research around central bank digital currencies and the evolving landscape of CBDCs, and explores emerging areas of research and trends by using the PRISMA method and VOSviewer, with the goal of showing the main opportunities and challenges related to them. AMSTAR, DistillerSR, Eppi-Reviewer, ROBIS, and SRDR were the screening and quality evaluation tools employed for study eligibility criteria, design screening and content selection, text analysis data extraction, methodological quality predictors, and reliable and reproducible evidence assessment. A total of 1024 articles on central bank digital currencies were identified in Scopus and the Web of Science, out of which 747 have been included in the review (documents which were not in English language and not categorized as journal articles were excluded). Through an analysis of the relevant literature, the study categorizes CBDC research into positive, negative and neutral research, with a particular focus on sustainability issues, and conducts a keyword co-occurrence analysis using VOSviewer, following a narrowing down of the relevant articles to be included in the study by applying the PRISMA framework. This generates an overall view for experts and researchers who can use the main analyzed features of CBDCs and adapt them accordingly, taking into account relevant macroeconomic characteristics. The study highlights the need to continue interdisciplinary research, by adapting the research and CBDC characteristics to keep up with the latest technologies and with the shift towards green finance, and explores the elaborate relationship between finance, technology and sustainability.

The sign effect in temporal discounting does not require the hippocampus.

When considering future outcomes, humans tend to discount gains more than losses. This phenomenon, referred to as the temporal discounting sign effect, is thought to result from the greater anticipated emotional impact of waiting for a negative outcome (dread) compared to waiting for a positive outcome (mixture of savoring and impatience). The impact of such anticipatory emotions has been proposed to rely on episodic future thinking. We evaluated this proposal by examining the presence and magnitude of a sign effect in the intertemporal decisions of individuals with hippocampal amnesia, who are severely impaired in their ability to engage in episodic mental simulation, and by comparing their patterns of choices to those of healthy controls. We also measured loss aversion, the tendency to assign greater value to losses compared to equivalent gains, to verify that any reduction in the sign effect in the hippocampal lesion group could not be explained by a group difference in loss aversion. Results showed that participants with hippocampal amnesia exhibited a sign effect, with less discounting of monetary losses compared to gains, that was similar in magnitude to that of controls. Loss aversion, albeit greater in the hippocampal compared to the control group, did not account for the sign effect. These results indicate that the sign effect does not depend on the integrity of hippocampally mediated episodic processes. They suggest instead that the impact of anticipatory emotions can be factored into decisions via semantic future thinking, drawing on non-contextual knowledge about oneself.

A monetary model of global peace and health.

BACKGROUND: This study aims to expand on the concept of peace and health by drawing from Keynes' theory of the economic consequences of peace, in light of the global pandemic experienced in 2020 due to COVID_19. METHODS: In this paper, I will elaborate on the concept of 'security', as an indicator of peace in the time of biological shocks, in order to expand the definition of Keynesian precautionary motivation. This puts forth a new monetary policy model developed to make contributions to achieving global peace. In so doing, I will calculate the optimal growth rate of discount rate through utilizing the Global Peace Index (GPI), adjusted by the Case Fatality Risk (CFR) of COVID-19 in a dynamic shopping time monetary model. This analysis is comprised of the top 15 GDP countries as well as the 10 most and least peaceful countries in 2020. RESULTS: The results indicate that households in more peaceful and healthy countries tend to hold less money compared to those in less peaceful and healthy countries. Besides, the discount rate needs to be reduced due to the outbreak of COVID-19 and the decrease in the level of peace in the economy. CONCLUSION: Insofar as the imposition of fines through international legal circles on countries with an insignificant health and peace policy will increase the cost of liquidity, other alternative methods of financing will be affor dable for the countries.

National assessments of money laundering risks: Stumbling at the start.

The Financial Action Task Force (FATF) requires national governments to demonstrate an understanding of the distribution of money laundering risks across different sectors of the financial system. Such understanding is the foundation for effective control of money laundering under the risk-based approach called for by the FATF. We analyzed the National Risk Assessments (NRAs) of eight systemically important countries before 2020 to test whether these demonstrated that basic understanding. The eight show very different conceptualizations, analytic approaches, and products. None showed more than minimal competence at risk assessment. For example, most relied largely on expert opinion, solicited, however, in ways that violated the well-developed methodology for eliciting expert opinion. They consistently misinterpreted Suspicious Activity Reports, the most fine-grained quantitative data available on money laundering, and failed to provide risk assessments relevant for policymakers. Only one described the methodology employed. Although conducting strong money laundering risk assessments is challenging, given the difficulty of estimating the extent of laundering in any sector, existing practices can be improved. We offer some potential explanations for the failure of governments to take this task seriously. The lack of involvement of risk assessment professionals is an important contributing factor to the weaknesses of the current NRAs.

Spatial and Economic Proximity of Cigarette Sales to School Children in Mongolia.

Background: The Western Pacific Region has the highest rate of cigarette smoking in the world. In this region, Mongolia has ratified the WHO FCTC treaty and, as part of treaty implementation, has monitored school tobacco use in children using the 2014 Global Youth Tobacco Survey (GYTS) and 2019 GYTS. Our objective was to examine the spatial and economic factors associated with cigarette use in schoolchildren of Mongolia. Methods: The 2014 and 2019 GYTS are the most recent and comprehensive national surveys of tobacco use in schoolchildren in Mongolia and are cross-sectional, stratified, multi-stage cluster surveys of 13-15 year-old schoolchildren (7,298 in 2014, 4,146 in 2019) selected from urban and rural schools. For each survey, we conducted logistic regression modelling to examine whether spatial (proximity of cigarette sales to schools), economic (pocket money available to school children), and other environmental/contextual factors were predictors of cigarette use (all, single sticks) in schoolchildren. Results: We found that 1)the prevalence of vendors selling cigarettes near schools increased from 65% in the 2014 GYTS to 94% in the 2019 GYTS, 2) sales of cigarettes near schools were associated with increased current smoking of all cigarettes and this effect increased from a marginal 31% increase in odds in 2014 (OR [95% confidence interval(CI)]=1.31 [0.99, 1.73]) to a 416% increase in odds in 2019 (OR [95% CI]=5.16[3.31, 8.05]), 3) sales of cigarettes near schools were associated with a substantial increase in odds of smoking single cigarettes in 2014 (OR [95% CI]=1.87 [1.14,3.06]) and in 2019 (OR[95% CI]=2.70 [1.42, 5.12]). We also found that smoking of all cigarettes was higher when student pocket money exceeded the price of the cigarette pack (approximately 1.8 USD) and also when parents and/or peers were smokers. Conclusions: Despite the 2012 National Tobacco Laws banning sales of cigarettes and single cigarettes to schoolchildren near schools, the most recent national surveys (2014-2019) have shown that these sales are increasing. We provide new findings indicating that despite the higher pricing of cigarette packs (relative to the region), illicit sales of single cigarettes are targeting schoolchildren near their schools.

Moderated moderation modelling of subjective social status, pocket money and depressive symptoms of university students in Ghana.

Introduction: Although the relationship between subjective social status and depression in university students has been well-established, this association could be seen as a spurious one. Previous studies have shown that key variables like financial resources and age could play key roles in explaining the variances in social status and mental health outcomes. In this research, we assessed the complex interrelationships between subjective social status, financial resources at their disposal and depressive symptoms among university students within their young and middle adulthood stages. Methods: A cross-sectional survey was conducted in a university in Ghana to sample 1134 university students through accidental sampling. The McArthur Scale and WHO-5 Well-being measure were used for the data collection. Results: The results revealed that higher levels of subjective social status were associated with lower levels of depression. It was further found that the interaction between students' pocket money and age played unique roles in the relationship between subjective social status and depression. Conclusion: The study findings call on stakeholders in education to explore funding opportunities and to examine ways of empowering parents (financially) to adequately support the students. Health educationists and promoters, including psychologists, school counsellors and parents could compliment these efforts by helping to train and empower students through self-regulation or management skills to help improve their well-being. Continuous efforts are required to improve the financial status and mental health of students.

An apparatus and procedure for studying discounting of real outcomes of money and aversive sound.

We developed and examined a laboratory preparation with adult humans that pits shorter term avoidance over longer term positive reinforcement and may serve as a useful laboratory functional analogue of problematic behavior. Participants were exposed to choices between (1) avoiding an aversive sound and acquiring no money or (2) listening to an aversive sound for a set duration and then receiving money. The first choice, avoiding an aversive sound and acquiring no money, was conceptualized as immediate negative reinforcement and no positive reinforcement, whereas the latter choice, listening to an aversive sound for a set duration and then receiving money, was conceptualized as a potential positive punisher paired with a larger later positive reinforcer. We manipulated the duration of the sound and the magnitude of money to identify the point at which individual participants' choices changed from avoiding the sound to choosing the sound plus money. As the sound duration increased, the choice of listening to the sound and receiving money decreased. Similar functions were observed with two different monetary magnitudes. The model has potential applicability to real-world problems such as smoking, addiction, gambling, anxiety disorders, and other impulse control disorders.

Recipients of Representative Payeeship with Mental Illness: Financial Leverage, Conflict, and Satisfaction.

This study aimed to examine self-report of financial leverage, conflict, and satisfaction pertaining to representative payeeship for persons with mental illness, which research has not examined in the past decade. Sixty representative payee recipients with mental illness residing across the U.S. completed an online survey, with most (n = 50) receiving representative payeeship by family members/friends. Wilcoxon-Mann-Whitney tests and Spearman correlations were computed. One-third of participants reported experiencing financial leverage and conflict "sometimes" or more often and were dissatisfied with their representative payee arrangement. With the exception of use of alcohol and/or drugs, no participant characteristic was associated with financial leverage, conflict, or satisfaction. Financial leverage was reported to be greater when representative payees were family members/friends. Financial leverage and conflict were positively associated with each other and negatively associated with satisfaction. It is advisable that satisfaction with representative payeeship be increased and conflict resulting from representative payeeship be minimized.

Bitcoin Money Laundering Detection via Subgraph Contrastive Learning.

The rapid development of cryptocurrencies has led to an increasing severity of money laundering activities. In recent years, leveraging graph neural networks for cryptocurrency fraud detection has yielded promising results. However, many existing methods predominantly focus on node classification, i.e., detecting individual illicit transactions, rather than uncovering behavioral pattern differences among money laundering groups. In this paper, we tackle the challenges presented by the organized, heterogeneous, and noisy nature of Bitcoin money laundering. We propose a novel subgraph-based contrastive learning algorithm for heterogeneous graphs, named Bit-CHetG, to perform money laundering group detection. Specifically, we employ predefined metapaths to construct the homogeneous subgraphs of wallet addresses and transaction records from the address-transaction heterogeneous graph, enhancing our ability to capture heterogeneity. Subsequently, we utilize graph neural networks to separately extract the topological embedding representations of transaction subgraphs and associated address representations of transaction nodes. Lastly, supervised contrastive learning is introduced to reduce the effect of noise, which pulls together the transaction subgraphs with the same class while pushing apart the subgraphs with different classes. By conducting experiments on two real-world datasets with homogeneous and heterogeneous graphs, the Micro F1 Score of our proposed Bit-CHetG is improved by at least 5% compared to others.

Corporate capital structure effects on corporate performance pursuing a strategy of innovation in manufacturing companies.

Within the sphere of finance, the concept of capital structure has long been a subject of intense debate, serving as a quantitative depiction of the balance between debt, preference shares, and common stock within a company. This structure serves a crucial role in optimizing the utilization of a company's existing resources while simultaneously elevating the revenue streams for stakeholders. This particular study delves into the intricate relationship between corporate performance and capital structure, focusing on 78 publicly listed firms within the Dhaka Stock Exchange (DSE). Bangladesh holds the 29th position globally in terms of purchasing power, lending significant weight to this investigation. To comprehensively analyze this correlation, panel data encompassing the span from 2017 to 2021 was collected for these 78 sample companies operating within the DSE. Several key determinants of capital structure were considered in this analysis, namely the debt-to-equity ratio, short-term leverage ratio, long-term leverage ratio, and total debt ratio. Meanwhile, the performance of these firms was gauged using key metrics such as Return on Assets (ROA), Return on Equity (ROE), and Earnings Per Share (EPS). To ensure a robust analysis, factors such as inflation, liquidity, growth rate, tax rate, and firm size were meticulously controlled for. The findings unveiled a compelling narrative: all forms of debt ratios-be it short-term, long-term, or the total debt ratio-exhibited a substantial negative impact on ROA at a significant level of 1 %. Conversely, specific debt ratios, like the short-term total debt and the total debt-to-total asset ratio, displayed a notable positive correlation with ROE at a 1 % significance level. Intriguingly, the long-term total debt ratio yielded a negative and insignificant effect on ROE. Moreover, within the spectrum of predictors influencing a firm's performance, the liquidity ratio emerged as a non-significant factor-a notable discovery that highlights the nuanced nature of the interplay between capital structure and performance within these companies.

'Digitising health protection schemes in Ghana': An enquiry into factors associated with the use of a mobile phone-based health insurance contribution payment system among tertiary students.

In 2018, Ghana's National Health Insurance Scheme (NHIS) introduced a mobile money payment system for membership renewal and premium payments to enhance enrolment and retention rates. However, the adoption of such innovations depends on various factors, including personal traits and public perceptions. This study aims to explore the determinants of NHIS membership renewal and premium payment via the mobile renewal system. Conducted at Kwame Nkrumah University of Science and Technology (KNUST) in Kumasi, Ghana, the study used a survey design to gather data from 951 KNUST students. Employing logistic regression analysis, the study identified key factors influencing the use of the NHIS mobile renewal service. The findings revealed that individuals aged 19-21, 25-27 or above 27, without mobile money accounts, and those with no history of online purchases were less likely to adopt the mobile renewal system (P < .05). Conversely, those perceiving the system as useful and easy to use were more likely to utilise it for NHIS membership renewal (P < .05). In conclusion, policymakers should prioritise system quality, accessibility, perceived ease of use, and usefulness to facilitate the adoption and usage of the NHIS mobile payment system. These findings contribute valuable insights for enhancing the effectiveness of health insurance innovations.

What drives bank liquidity creation? The interaction of monetary policy and strategic scope.

The research investigates how the marginal influence of monetary policy on the expansion of liquidity creation changes depending on the strategic scope of banks. Through a sample of Vietnamese commercial banks between 2007 and 2019, we estimate measures of liquidity creation that consider all banking items and build up various monetary policy indicators. Empirical regressions are achieved with the dynamic generalized method of moments (GMM) estimator that is fitted to tackle the endogeneity issue. The study confirms the existence of the bank liquidity creation channel, i.e., an easing monetary policy boosts the banks' liquidity creation ability, both when the central bank reduces interest rates and injects more capital into the market. For banks with a strategic scope that relies more on non-interest revenues or diversifies more into various banking segments, the relationship between monetary policy and the generation of bank liquidity is strengthened when the central bank adjusts interest rates but mitigated if it changes the money supply using quantitative-based monetary tools. This paper expands the literature stream on monetary policy's liquidity creation channel, which is essential to the economy but has been little explored, by shedding light on the moderating role of bank income. Additionally, this study employs many policy indicators based on interest- and non-interest-rate tools to avoid misleading conclusions on the policy stance.

Does sustainable banking facilitate reducing the SDG-10 in weak rule of law setting?

Facilitating economic opportunities is a critical function of the financial sector, and this contributes significantly towards the attainment of Sustainable Development Goals 10 (SDG-10), which aims to reduce income inequality. This research examines the role of sustainable banking practices in reducing income inequality and achieving SDG-10 under weak rule of law settings. We employed a panel cluster regression model to examine the data collected from 890 banks across 49 nations over a nine-year period (2014-2022). Specifically, we opted to cluster the observations based on industry and year to produce unbiased standard error. The findings reveal that sustainable banking practices are more effective in reducing income inequality, especially in settings with weak rule of law. They also contribute to combating money laundering, which is a significant barrier to achieving SDG-10. The study highlights the importance of transparent and responsible financial transactions in promoting investment opportunities that contribute to sustainable development. Moreover, we find that sustainable banking can accelerate the impact of Fintech in reducing income inequality in weak rule of law settings. The use of Fintech in the financial industry can improve transparency, accountability, and fairness, which are essential for progress towards achieving SDG-10. These findings have significant implications for the expansion of sustainable banking practices in regions with weak institutional frameworks.

Simulated Gambling: An Explorative Study Based on a Representative Survey.

Gambling usually involves wagering real money but can also be conducted with virtual money, chips, or coins. This phenomenon is sometimes referred to as simulated gambling, social gambling, or play money gambling. This study explores correlations and transitions between simulated gambling and real money gambling with an emphasis on gambling-related harms and public health concerns. The analysis is based on a national representative survey of 46,136 German Internet users which included 5,191 real money online gamblers (RMG), 54% of whom had also participated in simulated gambling (SG). The data set is divided into subsamples based on participation in SG to carve out significant differences in these groups in regard to various socio demographics, gambling patterns, and gambling problems. Regression models are used to predict RMG frequency, participation in SG, SG participation frequency, and problem gambling. The results show a clear proximity between SG and RMG with 17% of the total sample and 54% of problem gamblers reporting being "quite sure" or "certain" that simulated gambling had led them to gambling with real money. While 7% of individuals that engaged exclusively in RMG showed gambling problems, the rate is 33% for those that engaged in both RMG and SG. Regression results provide further evidence of a relationship between SG and problem gambling, although with differing effect sizes for different game forms. We argue that SG can be both a substitute and a primer for RMG, especially for problem gamblers.

Mapping the value for money of precision medicine: a systematic literature review and meta-analysis.

Objective: This study aimed to quantify heterogeneity in the value for money of precision medicine (PM) by application types across contexts and conditions and to quantify sources of heterogeneity to areas of particular promises or concerns as the field of PM moves forward. Methods: A systemic search was performed in Embase, Medline, EconLit, and CRD databases for studies published between 2011 and 2021 on cost-effectiveness analysis (CEA) of PM interventions. Based on a willingness-to-pay threshold of one-time GDP per capita of each study country, the net monetary benefit (NMB) of PM was pooled using random-effects meta-analyses. Sources of heterogeneity and study biases were examined using random-effects meta-regressions, jackknife sensitivity analysis, and the biases in economic studies checklist. Results: Among the 275 unique CEAs of PM, publicly sponsored studies found neither genetic testing nor gene therapy cost-effective in general, which was contradictory to studies funded by commercial entities and early stage evaluations. Evidence of PM being cost-effective was concentrated in a genetic test for screening, diagnosis, or as companion diagnostics (pooled NMBs, $48,152, $8,869, $5,693, p < 0.001), in the form of multigene panel testing (pooled NMBs = $31,026, p < 0.001), which only applied to a few disease areas such as cancer and high-income countries. Incremental effectiveness was an essential value driver for varied genetic tests but not gene therapy. Conclusion: Precision medicine's value for money across application types and contexts was difficult to conclude from published studies, which might be subject to systematic bias. The conducting and reporting of CEA of PM should be locally based and standardized for meaningful comparisons.