Identifying and prioritizing strategies for comprehensive liver cancer control in Asia

Would manufacturing go for renewable energy? Manufacturers' preference towards sustainability

Malaysia needs to fully utilize its renewable energy resources to meet its goal of installed capacity of 31% of renewable energy in 2025 and 40% in 2035. In order to empower renewable energy sources, the government has established a fund known as the renewable energy fund (RE FUND). In Malaysia, most manufacturing sectors contribute to the RE FUND through their monthly electricity bills due to their electricity consumption exceeding 300kwh per month. As Malaysia's highest electricity consumer, the manufacturing sector needs government investment incentives to switch to renewable energy sources to generate electricity. Therefore, this study was conducted to identify attribute preferences of the manufacturing sector due to investing in renewable energy sources. The Choice Experiment method was employed where the Mixed Logit model was chosen to identify the willingness to pay for the manufacturing sectors based on their preferences among the four attributes: types of renewable energy, project location, annual reduction in GHG emissions, and RE FUND. The study results found that the manufacturing sector places the highest value on the project location, where they prefer to improve the project location from current condition to far location. This study can also help to achieve the Goal 7 in the Sustainable Development Goal (SDG), where investment in renewable energy sources can guarantee that all individuals obtain affordable, reliable, sustainable, and modern electricity in 2030.

Priorities to Promote Participant Engagement in the Participant Engagement and Cancer Genome Sequencing (PE-CGS) Network

BACKGROUND

Engaging diverse populations in cancer genomics research is of critical importance and is a fundamental goal of the NCI Participant Engagement and Cancer Genome Sequencing (PE-CGS) Network. Established as part of the Cancer Moonshot, PE-CGS is a consortium of stakeholders including clinicians, scientists, genetic counselors, and representatives of potential study participants and their communities. Participant engagement is an ongoing, bidirectional, and mutually beneficial interaction between study participants and researchers. PE-CGS sought to set priorities in participant engagement for conducting the network's research.

METHODS

PE-CGS deliberatively engaged its stakeholders in the following four-phase process to set the network's research priorities in participant engagement: (i) a brainstorming exercise to elicit potential priorities; (ii) a 2-day virtual meeting to discuss priorities; (iii) recommendations from the PE-CGS External Advisory Panel to refine priorities; and (iv) a virtual meeting to set priorities.

RESULTS

Nearly 150 PE-CGS stakeholders engaged in the process. Five priorities were set: (i) tailor education and communication materials for participants throughout the research process; (ii) identify measures of participant engagement; (iii) identify optimal participant engagement strategies; (iv) understand cancer disparities in the context of cancer genomics research; and (v) personalize the return of genomics findings to participants.

CONCLUSIONS

PE-CGS is pursuing these priorities to meaningfully engage diverse and underrepresented patients with cancer and posttreatment cancer survivors as participants in cancer genomics research and, subsequently, generate new discoveries.

IMPACT

Data from PE-CGS will be shared with the broader scientific community in a manner consistent with participant informed consent and community agreement.

Clinical Decision-Making for Appendectomy in Kosovo: A Conjoint Analysis

Objective: The objective was to investigate the association of clinical attributes with decision making for performing appendectomy and making preoperative preparations for appendectomy. Method: A conjoint analysis with 17 clinical scenarios was executed with surgeons employed at public hospitals in Kosovo. Setting: The study was conducted at two public hospitals in Kosovo that have benefited from quality-improvement interventions. Participants: The participants included 22 surgeons. Outcome measures: The primary outcome was the overall effect of clinical attributes on the decision to perform appendectomy and make the preoperative preparations for appendectomy. Results: In the regression analyses, several attributes demonstrated statistically significant effects on the clinical decision to perform appendectomy and on the practice of preoperative preparation. Conclusions: We found that several factors influenced the decision to perform appendectomy and the practices for preoperative preparation. Nevertheless, the small sample size limited our efforts to interpret the results. These findings could assist Kosovo in the design and implementation of future similar studies and in fostering quality improvement measures that address clinical decision making and the lack of process standardization in the delivery of surgical care.

Best-Worst Scaling and the Prioritization of Objects in Health: A Systematic Review

BACKGROUND AND OBJECTIVE

Best-worst scaling is a theory-driven method that can be used to prioritize objects in health. We sought to characterize all studies of best-worst scaling to prioritize objects in health, to assess trends of using best-worst scaling in prioritization over time, and to assess the relationship between a legacy measure of quality (PREFS) and a novel assessment of subjective quality and policy relevance.

METHODS

A systematic review identified studies published through to the end of 2021 that applied best-worst scaling to study priorities in health (PROSPERO CRD42020209745), updating a prior review published in 2016. The PubMed, EBSCOhost, Embase, Scopus, APA PsychInfo, Web of Science, and Google Scholar databases were used and were supplemented by a hand search. Data describing the application, development, design, administration/analysis, quality, and policy relevance were summarized and we tested for trends by comparing articles before and after 1 January, 2017. Multivariate statistics were then used to assess the relationships between PREFS, subjective quality, policy relevance, and other possible indicators.

RESULTS

From a total of 2826 unique papers identified, 165 best-worst scaling studies were included in this review. Applications of best-worst scaling to study priorities in health have continued to grow (p < 0.01) and are now used in all regions of the world, most often to study the priorities of patients/consumers (67%). Several key trends can be observed over time: increased use of pretesting (p < 0.05); increased use of online administration (p < 0.01), and decreased use of paper self-administered surveys (p = 0.02); increased use of heterogeneity analysis (p = 0.02); an increase in having a clearly stated purpose (p < 0.01); and a decrease in comparing respondents to non-respondents (p = 0.01). The average sample size has more than doubled, from 228 to 472 respondents, but formal sample size justifications remain low (5.3%) and unchanged over time (p = 0.68). While the average PREFS score remained unchanged at 3.1/5, both subjective quality and policy relevance trended up, but changes were not statistically significant (p = 0.06 and p = 0.13). Most of the variation in subjective quality was driven by PREFS (R2 = 0.42), but it was also positively assosciated with policy relevance, heterogeneity analysis, and using a balanced incomplete block design, and was negatively associated with not using developmental methods and an increasing sample size.

CONCLUSIONS

Using best-worst scaling to prioritize objects is now commonly used around the world to assess the priorities of patients and other stakeholders in health. Best practices are clearly emerging for best-worst scaling. Although legacy measures (PREFS) to measure study quality are reasonable, there may need to be new tools to assess both study quality and policy relevance.

One Fraction Size Does Not Fit All: Patient Preferences for Hypofractionated Radiation Therapy From a Discrete Choice Experiment

PURPOSE

Hypofractionated external beam radiation therapy (EBRT) is a standard of care option for localized prostate cancer. To inform clinical practice we quantified patients' preferences for convenience, efficacy, and toxicity risks, of conventional, moderate hypofractionation, and stereotactic radiation therapy regimens.

METHODS AND MATERIALS

We used a discrete choice experiment with a voluntary sample consisting of patients treated with EBRT for localized prostate cancer at our academic cancer center. In 2019, 58 participants, mean (SD) age of 72.9 (7.1) years, agreed to complete an in-person 1:1 discrete choice experiment. Each participant made 12 choices between 2 unique EBRT scenarios, each described by 5 attributes: (1) treatment time; (2) fiducial markers; and risk of (3) prostate specific antigen recurrence; (4) acute and (5) late GI or GU toxicity. Patient preferences were estimated using mixed multinomial logistic regression, and prespecified subgroups with conditional logistic regression.

RESULTS

All attributes were statistically significant, thus influenced participants' choices. Risks of prostate specific antigen recurrence (β = -2.581), late (β = -1.854), and acute (β = -1.005) toxicity were most important to participants (P < .001 for each), followed by EBRT length (β = -0.728; P = .017) and fiducial marker implantation (β = -0.563; P = .004). Older (β = -0.063; 95% confidence interval, -0.12, -0.01) and rural (β = -0.083; 95% CI -0.14, -0.02) participants significantly preferred shorter EBRT and were less willing-to-extend treatment to reduce toxicity risk.

CONCLUSIONS

Patients with prostate cancer place importance on EBRT attributes, and some are willing to trade-off increased risk of toxicity for improved convenience. Our findings promote shared clinical decision-making because patients are interested in learning about the trade-offs involved.

The changing epidemiology of liver diseases in the Asia-Pacific region

This Review presents current epidemiological trends of the most common liver diseases in Asia-Pacific countries. Hepatitis B virus (HBV) remains the primary cause of cirrhosis; despite declining prevalence in most Asian nations, this virus still poses a severe threat in some territories and regions. Mortality resulting from HBV infection is declining as a result of preventive measures and antiviral treatments. The epidemiological transition of hepatitis C virus (HCV) infection has varied in the region in the past few decades, but the medical burden of infection and the prevalence of its related cancers are increasing. The lack of licensed HCV vaccines highlights the need for novel treatment strategies. The prevalence of nonalcoholic fatty liver disease (NAFLD) has risen in the past decade, mostly owing to increasingly urbanized lifestyles and dietary changes. Alternative herbal medicine and dietary supplements are major causes of drug-induced liver injury (DILI) in some countries. Complications arising from these chronic liver diseases, including cirrhosis and liver cancer, are therefore emerging threats in the Asia-Pacific region. Key strategies to control these liver diseases include monitoring of at-risk populations, implementation of national guidelines and increasing public and physician awareness, in concert with improving access to health care.

Metabolomic study of the intervention effects of Shuihonghuazi Formula, a Traditional Chinese Medicinal formulae, on hepatocellular carcinoma (HCC) rats using performance HPLC/ESI-TOF-MS

ETHNOPHARMACOLOGICAL RELEVANCE

Metabolomics is the comprehensive assessment of endogenous metabolites of a biological system in a holistic context, and its property consists with the global view of Traditional Chinese Medicine (TCM). Shuihonghuazi Formula (SHHZF) has been used for liver cancer early treatment in clinical for more than thirty years, but its mechanism remains unclear completely. This paper was designed to explore the therapeutic effects of SHHZF on liver cancer and its metabolomic characters.

MATERIALS AND METHODS

All the rats were given diethylnitrosamine (DEN) at the dosage of 70mg/kg for 14 weeks. From the 7th weeks, SHHZF was given to the rats which lasted for 10 weeks. Therapeutic effects of SHHZF was compared with that of cyclophosphamide (CTX). High performance liquid-chromatography/electrospray-ionization time of flight mass spectrometer (HPLC/ESI-TOF-MS) combined with pattern recognition approaches including principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), was integrated to approximate the comprehensive metabolic signature and discover differentiating metabolites by Agilent MPP 12.1. The changes in metabolic profiling in plasma were restored to their baseline values after SHHZF treatment according to the PLS-DA score plots.

RESULTS

The results indicated that 23 ions as "differentiating metabolites". The alterations in those metabolites were associated with perturbations in fatty acid and bile acid metabolism, in response to liver cancer through immune and nervous system. And SHHZF could increase the uptake and utilization of linoleic acid and oleic acid, increase arachidonic acid-like substance content and enhance organism immunity of liver cancer rats. And it also could increase the translation from phosphatidylethanolamine (PE) to phosphatidylcholine (PC), linoleic acid metabolism and inhibits abnormal metabolism of bile acid.

CONCLUSIONS

The mechanism of therapeutic effects of SHHZF on liver cancer by adjusting the activities of PE N-methyl transferase (PEMT), Lysophospholipase D, methylenetetrahydrofolate reductase (MTHFR) and lysophospholipase was elucidated by the method of metabonomics for the first time.

The Role of Qualitative Research Methods in Discrete Choice Experiments

Background. The use of qualitative research (QR) methods is recommended as good practice in discrete choice experiments (DCEs). This study investigated the use and reporting of QR to inform the design and/or interpretation of healthcare-related DCEs and explored the perceived usefulness of such methods. Methods. DCEs were identified from a systematic search of the MEDLINE database. Studies were classified by the quantity of QR reported (none, basic, or extensive). Authors (n = 91) of papers reporting the use of QR were invited to complete an online survey eliciting their views about using the methods. Results. A total of 254 healthcare DCEs were included in the review; of these, 111 (44%) did not report using any qualitative methods; 114 (45%) reported “basic” information; and 29 (11%) reported or cited “extensive” use of qualitative methods. Studies reporting the use of qualitative methods used them to select attributes and/or levels (n = 95; 66%) and/or pilot the DCE survey (n = 26; 18%). Popular qualitative methods included focus groups (n = 63; 44%) and interviews (n = 109; 76%). Forty-four studies (31%) reported the analytical approach, with content (n = 10; 7%) and framework analysis (n = 5; 4%) most commonly reported. The survey identified that all responding authors (n = 50; 100%) found that qualitative methods added value to their DCE study, but many (n = 22; 44%) reported that journals were uninterested in the reporting of QR results. Conclusions. Despite recommendations that QR methods be used alongside DCEs, the use of QR methods is not consistently reported. The lack of reporting risks the inference that QR methods are of little use in DCE research, contradicting practitioners’ assessments. Explicit guidelines would enable more clarity and consistency in reporting, and journals should facilitate such reporting via online supplementary materials.

Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide

Discrete-choice experiments (DCEs) have become a commonly used instrument in health economics and patient-preference analysis, addressing a wide range of policy questions. An important question when setting up a DCE is the size of the sample needed to answer the research question of interest. Although theory exists as to the calculation of sample size requirements for stated choice data, it does not address the issue of minimum sample size requirements in terms of the statistical power of hypothesis tests on the estimated coefficients. The purpose of this paper is threefold: (1) to provide insight into whether and how researchers have dealt with sample size calculations for healthcare-related DCE studies; (2) to introduce and explain the required sample size for parameter estimates in DCEs; and (3) to provide a step-by-step guide for the calculation of the minimum sample size requirements for DCEs in health care.

An international comparison of stakeholder motivation to implement liver cancer control

BACKGROUND

The World Health Organization offers clear guidance on the development of national cancer control programmes based on a country's level of resources, yet the motivation to implement such programmes may be driven by factors other than resources.

OBJECTIVES

To compare stakeholder motivation to implement a national liver cancer control programme and assess if variation in motivation was associated with stakeholder characteristics or with national indicators of need and resources.

METHODS

Relevant stakeholders were purposively selected from 13 countries (Australia, China, France, Germany, Italy, Japan, Nigeria, South Korea, Spain, Taiwan, Thailand, Turkey and USA) to participate in a structured survey on liver cancer control. Respondents included 12 individuals working in clinical, 5 in policy and 3 in advocacy roles from each country. Stakeholders' motivation was measured using a scale grounded in expectancy theory and knowledge gained during previous qualitative interviews. Comparisons across countries and respondent characteristics were conducted using hierarchical regression. Country level motivation scores, holding constant individual level covariates, were correlated with indicators of need and resources and tested using Pearson's correlation coefficients.

RESULTS

In total, 260 stakeholders, equally drawn from the study countries, completed the survey (45% response rate). At the national level, motivation was highest in Nigeria, Thailand and China (P < 0.001), and lowest in Italy (P < 0.001) and Germany (P = 0.003). Higher motivation was observed among stakeholders working at the international level relative to the local level (P = 0.017). Motivation was positively associated with a country's relative burden of liver cancer (P = 0.015) and negatively associated with their level of resources (P = 0.018).

CONCLUSIONS

This study provides the first empirical evidence on the motivation of stakeholders to implement national cancer control programmes. Furthermore, we demonstrate that motivation is more clearly associated with a country's cancer control needs rather than resources.

Creating an advance-care-planning decision aid for high-risk surgery: a qualitative study

BACKGROUND

High-risk surgery patients may lose decision-making capacity as a result of surgical complications. Advance care planning prior to surgery may be beneficial, but remains controversial and is hindered by a lack of appropriate decision aids. This study sought to examine stakeholders' views on the appropriateness of using decision aids, in general, to support advance care planning among high-risk surgery populations and the design of such a decision aid.

METHODS

Key informants were recruited through purposive and snowball sampling. Semi-structured interviews were conducted by phone until data collected reached theoretical saturation. Key informants were asked to discuss their thoughts about advance care planning and interventions to support advance care planning, particularly for this population. Researchers took de-identified notes that were analyzed for emerging concordant, discordant, and recurrent themes using interpretative phenomenological analysis.

RESULTS

Key informants described the importance of initiating advance care planning preoperatively, despite potential challenges present in surgical settings. In general, decision aids were viewed as an appropriate approach to support advance care planning for this population. A recipe emerged from the data that outlines tools, ingredients, and tips for success that are needed to design an advance care planning decision aid for high-risk surgical settings.

CONCLUSIONS

Stakeholders supported incorporating advance care planning in high-risk surgical settings and endorsed the appropriateness of using decision aids to do so. Findings will inform the next stages of developing the first advance care planning decision aid for high-risk surgery patients.

Integrating genetic and genomic information into effective cancer care in diverse populations

This paper provides an overview of issues in the integration of genetic (related to hereditary DNA) and genomic (related to genes and their functions) information in cancer care for individuals and families who are part of health care systems worldwide, from low to high resourced. National and regional cancer plans have the potential to integrate genetic and genomic information with a goal of identifying and helping individuals and families with and at risk of cancer. Healthcare professionals and the public have the opportunity to increase their genetic literacy and communication about cancer family history to enhance cancer control, prevention, and tailored therapies.

Stakeholder perspectives on European priorities for comprehensive liver cancer control: a conjoint analysis

BACKGROUND

As liver cancer incidence and mortality remain high in many parts of Europe, a more comprehensive response is required to reduce the burden. Expert stakeholders should be involved in the design of responses because they have important insights about potentially effective responses and will be affected by policy changes. We aimed to prioritize liver cancer control strategies based on European liver cancer stakeholders' views of which strategies would have the greatest impact in a comprehensive liver cancer control plan.

METHODS

One hundred liver cancer clinical, policy and advocacy stakeholders from France, Germany, Italy, Spain and Turkey were surveyed. Respondents completed 12 conjoint choice tasks in which they chose which of two subsets of 11 strategies would have the greatest impact in their country.

RESULTS

All strategies were considered likely to have a positive impact (P < 0.01). The highest priority strategy was monitoring of at-risk populations, followed by centres of excellence, clinical education, multidisciplinary management, national guidelines, measuring social burden, public awareness, risk assessment and referral, research infrastructure and access to treatments.

CONCLUSIONS

Canvassing stakeholder views through a conjoint analysis survey provided a robust quantitative prioritization that can complement traditional qualitative consultation processes. The prioritized strategies provide a logical starting point for decision makers considering developing national plans or collaborative efforts to achieve comprehensive liver cancer control in Europe.

Prioritizing strategies for comprehensive liver cancer control in Asia: a conjoint analysis

Background

Liver cancer is a complex and burdensome disease, with Asia accounting for 75% of known cases. Comprehensive cancer control requires the use of multiple strategies, but various stakeholders may have different views as to which strategies should have the highest priority. This study identified priorities across multiple strategies for comprehensive liver cancer control (CLCC) from the perspective of liver cancer clinical, policy, and advocacy stakeholders in China, Japan, South Korea and Taiwan. Concordance of priorities was assessed across the region and across respondent roles.

Methods

Priorities for CLCC were examined as part of a cross-sectional survey of liver cancer experts. Respondents completed several conjoint-analysis choice tasks to prioritize 11 strategies. In each task, respondents judged which of two competing CLCC plans, consisting of mutually exclusive and exhaustive subsets of the strategies, would have the greatest impact. The dependent variable was the chosen plan, which was then regressed on the strategies of different plans. The restricted least squares (RLS) method was utilized to compare aggregate and stratified models, and t-tests and Wald tests were used to test for significance and concordance, respectively.

Results

Eighty respondents (69.6%) were eligible and completed the survey. Their primary interests were hepatitis (26%), hepatocellular carcinoma (HCC) (58%), metastatic liver cancer (10%) and transplantation (6%). The most preferred strategies were monitoring at-risk populations (p<0.001), clinician education (p<0.001), and national guidelines (p<0.001). Most priorities were concordant across sites except for three strategies: transplantation infrastructure (p=0.009) was valued lower in China, measuring social burden (p=0.037) was valued higher in Taiwan, and national guidelines (p=0.025) was valued higher in China. Priorities did not differ across stakeholder groups (p=0.438).

Conclusions

Priorities for CLCC in Asia include monitoring at-risk populations, clinician education, national guidelines, multidisciplinary management, public awareness and centers of excellence. As most priorities are relatively concordant across the region, multilateral approaches to addressing comprehensive liver cancer would be beneficial. However, where priorities are discordant among sites, such as transplantation infrastructure, strategies should be tailored to local needs.