The ReCoDe addiction research consortium: Losing and regaining control over drug intake-Findings and future perspectives.

Substance use disorders (SUDs) are seen as a continuum ranging from goal-directed and hedonic drug use to loss of control over drug intake with aversive consequences for mental and physical health and social functioning. The main goals of our interdisciplinary German collaborative research centre on Losing and Regaining Control over Drug Intake (ReCoDe) are (i) to study triggers (drug cues, stressors, drug priming) and modifying factors (age, gender, physical activity, cognitive functions, childhood adversity, social factors, such as loneliness and social contact/interaction) that longitudinally modulate the trajectories of losing and regaining control over drug consumption under real-life conditions. (ii) To study underlying behavioural, cognitive and neurobiological mechanisms of disease trajectories and drug-related behaviours and (iii) to provide non-invasive mechanism-based interventions. These goals are achieved by: (A) using innovative mHealth (mobile health) tools to longitudinally monitor the effects of triggers and modifying factors on drug consumption patterns in real life in a cohort of 900 patients with alcohol use disorder. This approach will be complemented by animal models of addiction with 24/7 automated behavioural monitoring across an entire disease trajectory; i.e. from a naïve state to a drug-taking state to an addiction or resilience-like state. (B) The identification and, if applicable, computational modelling of key molecular, neurobiological and psychological mechanisms (e.g., reduced cognitive flexibility) mediating the effects of such triggers and modifying factors on disease trajectories. (C) Developing and testing non-invasive interventions (e.g., Just-In-Time-Adaptive-Interventions (JITAIs), various non-invasive brain stimulations (NIBS), individualized physical activity) that specifically target the underlying mechanisms for regaining control over drug intake. Here, we will report on the most important results of the first funding period and outline our future research strategy.

A reliable jumping-based classification methodology for environment sector.

Decision-makers have consistently developed a range of classification models, each possessing unique features within the domain of intelligent models. These endeavors are all directed toward achieving the highest levels of accuracy. In recent developments, two notable methodologies-reliable modeling and jumping modeling approaches-offer specific advantages in formulating cost functions and have been recognized for their role in enhancing classifier accuracy. Specifically, the jumping methodology is based on aligning the learning process with the discrete nature of the classification goal, while the reliable methodology integrates the reliability factor into the learning paradigm. However, their innovative combination, leveraging both accuracy and reliability factors in guiding learning processes, leads to the creation of a high-performing classifier. This addresses a research gap in tackling classification challenges, which remains the core focus of the present study. To evaluate the performance of the proposed reliable jumping-based intelligent classifier in environmental decision-making, we considered ten benchmark datasets spanning various application domains. The numerical results demonstrate that the proposed Reliable Jumping-based intelligent classifier consistently outperforms traditional intelligent classifiers across all studied cases. As a result, the proposed approach proves to be a viable and effective alternative to other intelligent methods in environmental applications.

Comparing Methods for Identifying Post-Market Patient Preferences at the Point of Decision-Making: Insights from Patients with Chronic Pain Considering a Spinal Cord Stimulator Device.

Purpose: To compare three methods for identifying patient preferences (MIPPs) at the point of decision-making: analysis of video-recorded patient-clinician encounters, post-encounter interviews, and post-encounter surveys. Patients and Methods: For the decision of whether to use a spinal cord stimulator device (SCS), a video coding scheme, interview guide, and patient survey were iteratively developed with 30 SCS decision-making encounters in a tertiary academic medical center pain clinic. Burke's grammar of motives was used to classify the attributed source or justification for a potential preference for each preference block. To compare the MIPPs, 13 patients' encounters with their clinician were video recorded and subsequently analyzed by 4 coders using the final video coding scheme. Six of these patients were interviewed, and 7 surveyed, immediately following their encounters. Results: For videos, an average of 66 (range 33-106) sets of utterances potentially indicating a patient preference (a preference block), surveys 33 (range 32-34), and interviews 25 (range 18-30) were identified. Thirty-eight unique themes (75 subthemes), each a preference topic, were identified from videos, surveys 19 themes (12 subthemes), and interviews 39 themes (54 subthemes). The proportion of preference blocks that were judged as expressing a preference that was clearly important to the patient or affected their decision was highest for interviews (72.8%), surveys (68.0%), and videos (27.0%). Videos mostly attributed preferences to the patient's situation (scene) (65%); interviews, the act of receiving or living with SCS (43%); surveys, the purpose of SCS (40%). Conclusion: MIPPs vary in the type of preferences identified and the clarity of expressed preferences in their data sets. The choice of which MIPP to use depends on projects' goals and resources, recognizing that the choice of MIPP may affect which preferences are found.

Application of multi-criteria group decision-making for water quality management.

As waste discharge into numerous river systems escalates, the pollution of water bodies typically rises. Given the limited capacity of rivers to withstand pollution and their constrained self-cleaning capabilities, treated pollutants from waste discharge must be released into the river. Despite numerous models and algorithms proposed for managing river water quality to meet standards, literature, to our awareness, lacks the utilization of a comprehensive multi-criteria group decision-making approach for water quality management, particularly in river systems. Therefore, this research introduces a new, comprehensive multi-criteria group decision-making for the management of water quality in the Haraz River basin, located in Iran. To do so, the water quality of the basin, a one-dimensional water quality model, QUAL2Kw, was employed to simulate and calibrate the water quality along the river. The simulation results revealed that the downstream water quality violates the water quality standards. To mitigate this issue, various scenarios for waste load allocation (WLA) were evaluated, including no wastewater treatment, primary wastewater treatment, advanced secondary wastewater treatment utilizing the activated sludge (AS) method, and advanced wastewater treatment via the membrane bioreactor (MBR) method. Utilizing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Fuzzy TOPSIS group decision-making model, it was determined that the optimal solution was the implementation of secondary wastewater treatment utilizing the activated sludge method for the 11 PS of pollution, while still adhering to Iranian water quality standard. In addition, the findings of the present study indicate that the implementation of primary wastewater treatment, advanced secondary wastewater treatment utilizing AS, and advanced wastewater treatment through MBR within the study area led to a significant enhancement in water quality. This enhancement ranged from 35 to 105% across various scenarios when compared to conditions where no actions were taken to the treatment of water.

The ethics of clinically assisted nutrition and hydration in adults and the role of the advanced clinical practitioner.

Clinically assisted nutrition and hydration (CANH) decision-making in adult patients presents complex ethical dilemmas that require careful consideration and navigation. This clinical review addresses the multifaceted aspects of CANH, emphasising the importance of ethical frameworks and the role of advanced clinical practitioners (ACPs) in guiding decision-making processes. The pivotal role of ACPs is highlighted, from their responsibilities and challenges in decision-making to the collaborative approach they facilitate involving patients, families and multidisciplinary teams. The article also explores ethical principles such as autonomy, beneficence, non-maleficence, and justice, elucidating their application in CANH decision-making. Legal and ethical frameworks covering CANH are examined, alongside case studies illustrating ethical dilemmas and resolutions. Patient-centred approaches to CANH decision-making are discussed, emphasising effective communication and consideration of cultural and religious beliefs. End-of-life considerations and palliative care in CANH are also examined, including the transition to palliative care and ethical considerations in withdrawal or withholding of CANH. Future directions for research and implications for clinical practice are outlined, highlighting the need for ongoing ethical reflection and the integration of ACPs in CANH decision-making.

Improving the palliative-procedure decision-making process for patients with peritoneal carcinomatosis: A secondary analysis.

BACKGROUND: Peritoneal carcinomatosis (PC) is common in patients with advanced gynecologic and gastrointestinal cancers. Frequently, patients with PC undergo palliative surgery or procedures to manage disease-related complications and side effects. However, there are limited data regarding patients' and family caregivers' decision-making processes about these procedures. Thus, we sought to describe the decision-making experiences of patients with PC who elect to pursue palliative surgical procedures and their family caregivers. METHODS: We conducted a secondary analysis of qualitative data collected during a pilot randomized controlled trial of BOLSTER, a nurse-led telehealth intervention for patients with PC and their caregivers after an acute hospitalization and palliative procedure. Participants in both study arms described their experiences in semi-structured interviews. We re-analyzed coded qualitative data with a focus on understanding decision-making experiences surrounding palliative surgery and procedures using conventional content analysis. RESULTS: Interviews from 32 participants, 23 patients and 9 caregivers, were analyzed. Participants reported their decision-making was complicated by illness uncertainty and a desire for clear, effective communication with surgical and medical oncology teams. Participants requested more information about the impact of palliative procedures on their daily life. Several also noted that, without improved understanding, a misalignment between patient and family caregiver goals and palliative procedures may inadvertently increase suffering. CONCLUSION: Discussions related to patients' goals and preferences can improve the quality of treatment decision-making in patients with PC and their caregivers. Future research should test interventions to improve advanced cancer patients' illness understanding and decision-making surrounding palliative surgery and procedures.

Pharmacists and pharmacy students' perceptions on how a new teaching model supports their clinical decision-making.

BACKGROUND AND PURPOSE: Clinical decision-making (CDM) is crucial in pharmacy practice, necessitating effective teaching in undergraduate and postgraduate pharmacy education. This study aims to explore undergraduates and postgraduates' perceptions of how a new teaching model supports their CDM when addressing patient cases. EDUCATIONAL ACTIVITY AND SETTING: Implemented in a full-day CDM course for pharmacy students and a half-day course for pharmacists in the Netherlands, the model, accompanied by a learning guide, facilitated CDM in patient cases. Eight courses were conducted between September 2022 to June 2023, followed by an online survey measuring participants' agreement on how the model supported their CDM, using a 5-point Likert scale. Additionally, three open-ended questions were included to elicit learning outcomes and self-development opportunities. FINDINGS: Of 175 invited participants, 159 (91%) completed the survey. Most agreed the teaching model supported their CDM, particularly in considering the patient's healthcare needs and context (96%), and exploring all available options (96%). Participants found the model provided a clear structure (97%), and fostered critical thinking (93%). The most frequently mentioned learning outcomes and self-development opportunities included collecting sufficient relevant information, maintaining a broad perspective, and decelerating the process to avoid premature closure. SUMMARY: Participants agreed that the teaching model helped them to make clinical decisions. Both undergraduate and postgraduate pharmacy education could possibly benefit from the teaching model's implementation in supporting pharmacy students and pharmacists conducting CDM in pharmacy practice.

Decision making for people living with HIV/AIDS using the theory of innovation diffusion model at the Western Provident Association Turen Foundation.

OBJECTIVES: To describe how people living with HIV/AIDS (PLWHA) make decisions using the diffusion of innovation theory model. Decisions occur when individual decision makers engage in activities that guide choices to adopt or reject a particular innovation. METHODS: This is a descriptive analysis research using a survey method. Data collection was carried out using a decision making questionnaire. The subjects in this research were HIV/AIDS sufferers (PLWHA) who lived in Turen, Indonesia. The number of research subjects was 36 respondents obtained using the purposive sampling technique on January 2023. RESULTS: The research design used the correlation method with a cross sectional approach and the Spearman correlation coefficient statistical test. The research results show significance (2-tailed) of 0.934 (p>0.05). The correlation coefficient results are negative. Where the direction of the correlation produces showed a very weak relationship with a value of 0.014 and the results of the analysis between variables are not the same. This is because the persuasion stage was not tested in the analysis. Research shows that 8 (22.2%) patients rejected the decision making of PLWHA using the diffusion of innovation theory model at the Western Provident Association Turen Foundation, Turen, Indonesia, while 28 (77.7%) patients accepted it. It can be concluded that the majority of decisions made by HIV/AIDS patients at the ADIS Turen Peduli Warga Foundation are accepted. CONCLUSION: Knowledge of HIV/AIDS sufferers is at a good level, their decision making is mostly accepted and there is a meaningful relationship between knowledge and decision making in using a chatbot innovation. The suggestion from the research is that this chatbot innovation can be a source of further research and help provide education for PLWHA patients in everyday life.

Hippocampus and striatum show distinct contributions to longitudinal changes in value-based learning in middle childhood.

The hippocampal-dependent memory system and striatal-dependent memory system modulate reinforcement learning depending on feedback timing in adults, but their contributions during development remain unclear. In a 2-year longitudinal study, 6-to-7-year-old children performed a reinforcement learning task in which they received feedback immediately or with a short delay following their response. Children's learning was found to be sensitive to feedback timing modulations in their reaction time and inverse temperature parameter, which quantifies value-guided decision-making. They showed longitudinal improvements towards more optimal value-based learning, and their hippocampal volume showed protracted maturation. Better delayed model-derived learning covaried with larger hippocampal volume longitudinally, in line with the adult literature. In contrast, a larger striatal volume in children was associated with both better immediate and delayed model-derived learning longitudinally. These findings show, for the first time, an early hippocampal contribution to the dynamic development of reinforcement learning in middle childhood, with neurally less differentiated and more cooperative memory systems than in adults.

Methods and approaches for developing plain language versions of guidelines recommendations: Scoping review protocol.

AIMS AND OBJECTIVES: This is a protocol of a scoping review that will aim to synthesise methodological evidence on formulating plain language versions of recommendations from guidelines both for clinical practice and for public health. METHOD: We will conduct a search in MEDLINE (Ovid), Embase (Ovid) databases, and webpages of guidelines developers with no language and date limitations. The title/abstract and full-text screening will be performed by two reviewers independently. The team of reviewers will extract data on methods used for developing plain language versions of recommendations in a standardised manner. The data analysis and synthesis will be presented narratively in tabular form. RESULTS AND CONCLUSION: We will conduct a scoping review based on this protocol.

Precision medicine: Externally validated explainable AI support tool for predicting sustainability of infliximab and vedolizumab in ulcerative colitis.

OBJECTIVE: Drug sustainability (DS), a surrogate marker for drug efficacy, is important, especially when aiming for precision medicine. However, it lacks reliable prediction methods. AIMS: To develop and externally validate a web-based artificial intelligence(AI)-derived tool for predicting DS of infliximab and vedolizumab in patients with moderate-to-severe Ulcerative Colitis (UC). METHODS: Data from three Israeli centers included infliximab or vedolizumab patients treated for >54 weeks. Sustainability meant no corticosteroids, hospitalizations or surgeries. Machine learning techniques predicted >54-week and overall DS using baseline clinical data. RESULTS: The model was developed using data from 246 patients from Rabin Medical Center and externally validated on 67 patients from Rambam Health Care Campus and Sheba Medical Center. No significant difference in DS was observed across the datasets. Most patients were biologic-naïve and primarily treated with vedolizumab. The model performed well, with an area under the ROC curve of 0.86, and showed good accuracy (65.5 %-76.9 %) across the test sets. CONCLUSIONS: The study introduces a novel, AI-based tool for predicting >54-week DS of infliximab and vedolizumab in moderate-to-severe UC, using baseline parameters. This can aid clinical decision-making in the framework of precision medicine, promising to optimize disease management while maintaining physician autonomy.

Community-Engaged Data Science (CEDS): A Case Study of Working with Communities to Use Data to Inform Change.

Data-informed decision making is a critical goal for many community-based public health research initiatives. However, community partners often encounter challenges when interacting with data. The Community-Engaged Data Science (CEDS) model offers a goal-oriented, iterative guide for communities to collaborate with research data scientists through data ambassadors. This study presents a case study of CEDS applied to research on the opioid epidemic in 18 counties in Ohio as part of the HEALing Communities Study (HCS). Data ambassadors provided a pivotal role in empowering community coalitions to translate data into action using key steps of CEDS which included: data landscapes identifying available data in the community; data action plans from logic models based on community data needs and gaps of data; data collection/sharing agreements; and data systems including portals and dashboards. Throughout the CEDS process, data ambassadors emphasized sustainable data workflows, supporting continued data engagement beyond the HCS. The implementation of CEDS in Ohio underscored the importance of relationship building, timing of implementation, understanding communities' data preferences, and flexibility when working with communities. Researchers should consider implementing CEDS and integrating a data ambassador in community-based research to enhance community data engagement and drive data-informed interventions to improve public health outcomes.

Insight and the Capacity to Refuse Treatment with Electroconvulsive Therapy.

All Australian jurisdictions have statutory provisions governing the use of electroconvulsive therapy. Cases in which the patient lacks insight into their psychotic illness and need for treatment and refuses to have ECT are particularly poignant. In Re ICO [2023] QMHC 1, the Queensland Mental Health Court considered whether a patient with a treatment-resistant psychotic illness had decision-making capacity to refuse ECT. The Court also considered whether the patient had been provided with an adequate explanation of the proposed treatment including the expected benefits, risks and adverse effects of ECT. As well as deciding whether ECT was appropriate in the circumstances, the Court considered whether there were alternative treatments including another trial of the oral antipsychotic clozapine. This article reviews issues relating to lack of insight in persons with psychotic illness and relevant considerations for determining capacity to decline ECT.

Informed Consent and the Duty to Warn: More than the Mere Provision of Information.

Before providing any form of medical treatment, medical practitioners are generally required to discharge their duty to warn. It is argued in this article that the duty to warn, at least as it relates to frail and elderly patients, requires the principles of shared decision-making to be adopted. Doing so will ensure a comprehensive biopsychosocial understanding of the patient and assist in identifying material risks that may not be readily apparent. Such risks include risks that threaten the patient's values, preferences, treatment aims and long-term outcomes. Once such risks are identified, in discharging the duty to warn, they should be contextualised in a manner that makes clear how that risk will manifest in that particular patient. These risks should then also be synthesised within the context of their other medical issues and longer-term interests. Finally, it is suggested that the traditional consent process may need restructuring.

Futility Interim Analysis Based on Probability of Success Using a Surrogate Endpoint.

In clinical trials with time-to-event data, the evaluation of treatment efficacy can be a long and complex process, especially when considering long-term primary endpoints. Using surrogate endpoints to correlate the primary endpoint has become a common practice to accelerate decision-making. Moreover, the ethical need to minimize sample size and the practical need to optimize available resources have encouraged the scientific community to develop methodologies that leverage historical data. Relying on the general theory of group sequential design and using a Bayesian framework, the methodology described in this paper exploits a documented historical relationship between a clinical "final" endpoint and a surrogate endpoint to build an informative prior for the primary endpoint, using surrogate data from an early interim analysis of the clinical trial. The predictive probability of success of the trial is then used to define a futility-stopping rule. The methodology demonstrates substantial enhancements in trial operating characteristics when there is a good agreement between current and historical data. Furthermore, incorporating a robust approach that combines the surrogate prior with a vague component mitigates the impact of the minor prior-data conflicts while maintaining acceptable performance even in the presence of significant prior-data conflicts. The proposed methodology was applied to design a Phase III clinical trial in metastatic colorectal cancer, with overall survival as the primary endpoint and progression-free survival as the surrogate endpoint.

Cultural, demographic, and other non-demographic factors associated with cancer genetic counseling patients' appointment accompaniment preferences in the United States.

Although the presence of companion(s) in a genetic counseling session can positively influence session dynamics, research has found that some patients prefer to attend their appointments alone. To date, no studies have examined patient accompaniment preferences across different cultural groups in the context of genetic counseling. This quantitative study aimed to identify factors associated with individual preferences in accompaniment at cancer genetic counseling appointments in a sample (N = 130) of Hispanic/Latine (n = 29) and non-Hispanic/Latine White (n = 101) participants at a large academic medical institution. Variables examined included demographics, horizontal and vertical collectivism, and Hispanic and American acculturation. A link to an online questionnaire was emailed to patients who met four criteria: (1) identified as either Hispanic/Latine or non-Hispanic/Latine White; (2) had attended a cancer genetic counseling appointment at UCLA Health to discuss genetic testing options between October 2020 and December 2022; (3) were at least 18 years of age at the time of their appointment; and (4) indicated they were comfortable reading in Spanish or English; responses were anonymous. Logistic regression analyses identified four significant variables in the model associated with accompaniment preferences: individuals with at least one parent born outside of the US, those who attended their appointment in-person, and those with a higher horizontal collectivism score were less likely to want to attend their cancer genetic counseling appointment alone, while the converse was true among those with a higher American acculturation score. These findings highlight cultural and demographic factors that are associated with patient accompaniment preferences unrelated to ethnicity, indicating genetic counselors should not make assumptions regarding accompaniment preferences based solely on cultural or racial/ethnic background. Genetic counselors should incorporate this understanding when assessing patients' accompaniment preferences.

Integrating evidence and causal mapping of help-seeking behaviour of migrant women with postpartum depression in Shanghai, China: a scoping review protocol.

INTRODUCTION: The estimated prevalence of postpartum depression (PPD) worldwide, in China, and Shanghai is 17.2%, 18.0% and 23.2%, respectively. In 2021, Shanghai housed a population of 3.2 million childbearing-age migrant women, most of whom migrated to the city with their husbands for economic reasons. There is a general lack of help-seeking behaviour for mental disorders in China due to the perceived risk of social stigmatisation. In Shanghai, 70% of women did not seek professional help for perinatal mental health problems. We aim to gather information from multiple perspectives, such as the migrant women with PPD and perinatal depression (PND), their caregivers, health service providers and communities, to understand the help-seeking behaviour of postpartum migrant women with PPD or PND in China. METHODS AND ANALYSIS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework for Scoping Reviews will guide this review. A bilingual research librarian developed a comprehensive search strategy to retrieve published and unpublished English and Chinese studies involving factors influencing women's PPD or PND help-seeking behaviour in China. This literature includes perceptions, views, patterns, acceptance and refusal, tendencies, probability, service accessibility and utilisation, and facts. We will search PubMed, Embase, Web of Science and CINAHL for English literature and CINKI for Chinese literature. Backward and forward snowball approaches will be used to identify additional relevant papers from the reference lists of selected papers. Two independent reviewers will screen the title and abstract and review the full text of selected papers to identify eligible articles for data extraction. We will build a Microsoft Access database to record the extracted data. The results will be presented in tables and a causal map to demonstrate the relationships between extracted variables and help-seeking behaviours for PPD and PND. A conceptual simulation model will be formulated based on the information from the literature to validate the logic of the relationships between variables, identify knowledge gaps and gain insights into potential intervention approaches. Experts and stakeholders will be invited to critique and comment on the results during group model building (GMB) workshops in Shanghai. These comments will be essential to validate the findings, receive feedback and obtain additional insights. ETHICS AND DISSEMINATION: The literature review component of our study does not require ethical approval because the information and data collected will be obtained from publicly available sources and will not involve human subjects. Our collaborating research partner, International Peach Maternal Child Hospital, obtained the IRB approval (GKLW-A-2023-020-01) for screening and enrolling participants in GMB workshops. Stanford University received IRB approval under protocol number 67 419. The full review will be presented at a relevant conference and submitted to a peer-reviewed scientific journal for publication to report findings.

The impact of regional disparities on the availability of meningococcal vaccines in the US.

BACKGROUND: In the United States (US), three types of vaccines are available to prevent invasive meningococcal disease (IMD), a severe and potentially fatal infection: quadrivalent conjugate vaccines against serogroups A, C, W, Y (MenACWY), and monovalent vaccines against serogroup B (MenB) as well as a newly licensed pentavalent vaccine (MenABCWY) protecting against serogroup A, B, C, W, and Y. The CDC's Advisory Committee on Immunization Practices (ACIP) routinely recommends MenACWY vaccine for all 11- to 12-year-olds with a booster dose at 16 years. MenB vaccination is recommended based on shared clinical decision-making (SCDM) for 16- to 23-year-olds. Recently, the pentavalent meningococcal vaccine (MenABCWY) was recommended by the ACIP. Meningococcal vaccine uptake is suboptimal across the country, particularly among individuals with lower socioeconomic status (SES), despite these recommendations. The objective of the spatial analyses was to assess the relationship between stocking of MenACWY and MenB vaccines, area-level SES, and state-level policies. METHODS: The number of MenACWY and MenB doses stocked by vaccinators was obtained from IQVIA and the CDC's Vaccine for Children (VFC) program and compiled into a county-level dataset from 2016 to 2019. SES, as measured using the CDC's Social Vulnerability Index (SVI), state-level school recommendations, and universal purchasing programs were among the main county-level covariates included to control for factors likely influencing stocking. Data were stratified by public and private market. Bayesian spatial regression models were developed to quantify the variations in rates of stocking and the relative rates of stocking of both vaccines. RESULTS: After accounting for county-level characteristics, lower SES counties tended to have fewer doses of MenB relative to MenACWY on both public and private markets. Lower SES counties tended to have more supply of public vs. private doses. Universal purchasing programs had a strong effect on the markets for both vaccines shifting nearly all doses to the public market. School vaccination strategy was key for improving stocking rates. CONCLUSIONS: Overall, the results show that MenACWY has greater stock relative to MenB across the US. This difference is exacerbated in vulnerable areas without school entry requirements for vaccination and results in inequity of vaccine availability. Beyond state-level policy and SES differences, SCDM recommendations may be a contributing factor, although this was not directly assessed by our model.