Setting Approach Research Articles

On the Expediency of Establishing Authorities for Solving Intradepartmental Economic Disputes: The Problem Setting Approach

On the Expediency of Establishing Authorities for Solving Intradepartmental Economic Disputes: The Problem Setting Approach

Research priorities for medically not yet explained symptoms expressed by patients, carers, and healthcare professionals in the Netherlands following the James Lind Alliance priority setting partnership approach

ObjectiveExperiencing physical symptoms that are medically not yet explained (MNYES) is associated with considerable burden in daily life. Research priorities in this area have been primarily investigator-driven. The present study identifies the top 10 research priorities, incorporating the views of patients, carers and healthcare professionals. MethodsThis study used the Priority Setting Partnership approach in collaboration with the James Lind Alliance (JLA). The priority setting approach combines survey-based data from patients with a specific disorder/condition and relevant stakeholders (i.e., caregivers and healthcare professionals) with input from group meetings and a final priority setting consensus meeting. There were three consecutive phases: (1) online survey with an open-ended question to collect topics for future scientific research (N = 345 participants); (2) an online survey among stakeholders to prioritise the research questions generated in Phase 1 (N = 400); and (3) a final multi-stakeholder consensus meeting, held over two half-days to determine the final top 10 research priorities for the Netherlands (day 1 N = 25, day 2 N = 24). ResultsPhase 1 resulted in 572 topics, which were reduced to 37 summary research questions. Phase 2 resulted in 18 research priorities, that were ranked and the top 10 priorities were established during the final consensus meeting. The top 10 research priorities included three main themes: optimising efficient diagnosis and treatment, aetiology and prevention, and coping with MNYES. ConclusionThe top 10 priorities provide insight into what is most important for future research into MNYES from the perspective of patients, carers and healthcare professionals.

An In-Home Withdrawal Service for individuals with low-to-moderate substance dependence: implementation and program evaluation.

Background Sonder's In-Home Withdrawal Service (IHWS) has been providing a unique home-based, multidisciplinary, wraparound withdrawal option for people with low-to-moderate levels of substance dependence since September 2019. This paper provides an evaluation of the service's overall impact on reducing substance use among clients through the delivery of this innovative service model. The evaluation explores the acceptability and feasibility of the service via client, stakeholder, and staff perspectives. Methods A mixed-method design was used to evaluate the IHWS. Descriptive analysis of quantitative data was conducted using clinical assessments from client records and online feedback surveys. Qualitative data from client, staff, and stakeholder feedback surveys were analysed thematically. Results Overall, 1166 referrals were received over the lifespan of the service, and a data set of 96 clients was included in the analysis. Self-reported measures showed that most clients decreased their substance use (89%), improved their psychological health status (75%), improved their physical health (65%), improved their quality of life (69%), and improved their understanding and ability to manage their alcohol and other drugs (AOD) use (84%). Client feedback suggests the service is providing a unique option for AOD withdrawal. Stakeholders commend the service's home-based setting, multidisciplinary and person-centred approach to care, and recommended expansion of the service to increase access for clients and reduce demand on inpatient settings. Conclusions The IHWS is having a significant impact in reducing substance use and highlights the need for increased access to holistic approaches to withdrawal. This includes pre- and post-withdrawal support and the inclusion of multidisciplinary teams, and engaging lived experience practitioners. A focus on funding primary-based services is required to meet the rising costs of tertiary-based care and to better meet the needs of consumers.

Developing research priorities for palliative care in Colombia: a priority setting partnership approach

BackgroundA recent Lancet commission called for more research on palliative care in low- and middle-income (LMIC) countries such as Colombia. A research priority setting approach has been recommended by The Global Forum for Health Research to address the huge gap in research output between LMIC and high-income countries, with influential health service bodies recommending the active involvement of non-research expert stakeholders in establishing research priorities to address service user needs.MethodPriority setting partnership (PSP) following the four stages of the James Lind Alliance methodology; establishing the partnership, identifying evidence uncertainties, refining questions and uncertainties, and prioritization. Data from MS forms were analysed using descriptive statistics.ResultsA total of 33 stakeholders attended an online PSP workshop and completed the Mentimeter exercise in Microsoft Teams. A total of 48 attended the subsequent in person prioritisation exercise in urban Bogota (n = 22) and rural Popayan (n = 25). The stakeholders were a diverse group of health professionals (physicians, medical students, nurses, dentists, physiotherapists, nutritionist, occupational and speech therapists), financial and administrative staff and patients with life-limiting illness and caregivers. Top research priorities included patient and caregiver needs, service provider education and training, and better integration of palliative care with cancer and non-cancer services. The key challenges included a lack of interest in palliative care research, along with funding, time and resource constraints. Key solutions included collaboration across disciplines and settings, highlighting benefits of palliative research to help secure adequate resources, and multicentre, mixed method research, with patient involvement from the research development stage.ConclusionThe findings of this PSP should be disseminated among palliative care associations worldwide to inform international multicentre studies, and among governmental and nongovernmental organisations that promote research in Colombia. A focus on patient and family caregiver palliative care needs in Colombia should be prioritised.

Priority setting and migration health policies for European countries.

The 2030 Sustainable Development Goals (SDG) agenda has committed to 'ensuring that no one is left behind'. Applying the right to health of non-citizens and international migrants is challenging in today's highly polarized political discourse on migration governance and integration. We explore the role of a priority setting approach to help support better, fairer and more transparent policy making in migration health. A priority setting approach must also incorporate migration health for more efficient and fair allocation of scarce resources. Explicitly recognizing the trade-offs as part of strategic planning, would circumvent ad hoc decision-making during crises, not well-suited for fairness. Discussions surrounding decisions about expanding services to migrants or subgroups of migrants, which services and to whom should be transparent and fair. We conclude that a priority setting approach can help better inform policy making by being more closely aligned with the practical challenges policy makers face towards the progressive realization of migration health.

Child-led goal setting and evaluation tools for children with a disability: A scoping review.

To examine child-led goal setting and evaluation tools and approaches for children with a disability or developmental delay. Six databases were searched for studies that included population (children aged less than 18 years with disability or developmental delay); construct (child-led goal setting tool or approach); and context (developmental therapy or rehabilitation). The utility of tools and approaches across the goal setting and evaluation process was investigated using abductive content analysis. Fifty articles met the inclusion criteria. Three approaches and four tools for child-led goal setting and evaluation were identified. No studies reported the clinimetric properties of tools specifically for child self-respondents. Qualitative analysis revealed six distinct goal phases in which tools and approaches were used, which were synthesized into a new framework for child-led goal setting and evaluation titled DECIDE: Direct children to goal setting; Elicit goal topics and priorities; Construct a goal statement; Indicate baseline goal performance; Develop an action plan to address the goal; and Evaluate goal progress after the intervention. Children actively participated in goal setting and evaluation across six DECIDE goal phases. Further clinimetric information is required to support use of goal setting and evaluation tools with child self-respondents. Future research should emphasize the development of multi-phase goal setting tools and approaches for diverse populations of children.

Externally validated prediction models for pre-eclampsia: systematic review and meta-analysis.

This systematic review and meta-analysis aimed to evaluate the performance of existing externally validated prediction models for pre-eclampsia (PE) (specifically, any-onset, early-onset, late-onset and pretermPE). A systematic search was conducted in five databases (MEDLINE, EMBASE, Emcare, CINAHL and Maternity & Infant Care Database) and using Google Scholar/reference search to identify studies based on the Population, Index prediction model, Comparator, Outcome, Timing and Setting (PICOTS) approach until 20 May 2023. We extracted data using the CHARMS checklist and appraised the risk of bias using the PROBAST tool. A meta-analysis of discrimination and calibration performance was conducted when appropriate. Twenty-three studies reported 52 externally validated prediction models for PE (one preterm, 20 any-onset, 17 early-onset and 14 late-onset PE models). No model had the same set of predictors. Fifteen any-onset PE models were validated externally once, two were validated twice and three were validated three times, while the Fetal Medicine Foundation (FMF) competing-risks model for preterm PE prediction was validated widely in 16 different settings. The most common predictors were maternal characteristics (prepregnancy body mass index, prior PE, family history of PE, chronic medical conditions and ethnicity) and biomarkers (uterine artery pulsatility index and pregnancy-associated plasma protein-A). The FMF model for preterm PE (triple test plus maternal factors) had the best performance, with a pooled area under the receiver-operating-characteristics curve (AUC) of 0.90 (95% prediction interval (PI), 0.76-0.96), and was well calibrated. The other models generally had poor-to-good discrimination performance (median AUC, 0.66 (range, 0.53-0.77)) and were overfitted on external validation. Apart from the FMF model, only two models that were validated multiple times for any-onset PE prediction, which were based on maternal characteristics only, produced reasonable pooled AUCs of 0.71 (95% PI, 0.66-0.76) and 0.73 (95% PI, 0.55-0.86). Existing externally validated prediction models for any-, early- and late-onset PE have limited discrimination and calibration performance, and include inconsistent input variables. The triple-test FMF model had outstanding discrimination performance in predicting preterm PE in numerous settings, but the inclusion of specialized biomarkers may limit feasibility and implementation outside of high-resource settings. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Compliance status of tobacco control laws in the university setting of Bangladesh: an analytical study followed a mixed-method approach

BackgroundImplementation of National Tobacco Control Laws (NTCLs) in university settings was found to be worse in Bangladesh.ObjectivesThis study aimed to depict the compliance status of tobacco control laws (TCLs) and...

Multiphysics Simulation of In-Service Welding and Induction Preheating: Part 1

A finite element model was developed using a multiphysics finite element analysis (FEA) coupling heat transfer, fluid flow, and electromagnetic heating. Part 1 presents the software implementation and model equations beside the mesh setting and modeling approach to simulate circumferential welding of Type B sleeve repair. The simulation was divided into four steps running sequentially for each physic solved in the model. Induction preheating was simulated and validated by comparing simulated temperature with experimental measurements. The multiphysics model differs from the usual simulations present in the literature, expressing more reliability in the results and making way for more-complete modeling for in-service applications.

Approximate N5LO Higgs Boson Decay Width Γ(H→γγ)

The precision and predictive power of perturbative QCD (pQCD) prediction depends on both a precise, convergent, fixed-order series and a reliable way of estimating the contributions of unknown higher-order (UHO) terms. It has been shown that by applying the principle of maximum conformality (PMC), which applies the renormalization group equation recursively to set the effective magnitude of αs of the process, the remaining conformal coefficients will be well matched with the corresponding αs at each order, leading to a scheme-and-scale invariant and more convergent perturbative series. The PMC series, being satisfied with the standard renormalization group invariance, has a rigorous foundation. Thus it not only can be widely applied to virtually all high-energy hadronic processes, but also can be a reliable platform for estimating UHO contributions. In this paper, by using the total decay width Γ(H→γγ) which has been calculated up to N4LO QCD corrections, we first derive its PMC series by using the PMC single-scale setting approach and then estimate its unknown N5LO contributions by using a Bayesian analysis. The newly suggested Bayesian-based approach estimates the magnitude of the UHO contributions based on an optimized analysis of the probability density distribution, and the predicted UHO contribution becomes more accurate when more loop terms have been known to tame the probability density function. Using the top-quark pole mass Mt = 172.69 GeV and the Higgs mass MH = 125.25 GeV as inputs, we obtain Γ(H→γγ)=9.56504keV, and the estimated N5LO contribution to the total decay width is ΔΓH=±1.65×10−4keV for the smallest credible interval of 95.5% degree of belief.

The Climate Effect on Colombian Coffee Prices and Quantities Based on Risk Analysis and the Hedging Strategy in Discrete Setting Approach

This paper provides a risk-hedging strategy for coffee markets including climate impact in the context of Colombian Coffee producers, companies, regulators, and policymakers. From the intermediaries' perspective, we present a hedging price and quantity risks using financial instruments based on price and weather variables (El Niño and La Niña phenomena). The coffee price and quantities produced are mitigated by the inclusion of climatic variables in two ways: first, through analysing the changes observed in the forward curve against spot price measuring the deterministic effect, known in this market as the forward risk premium. Second, including the weather index in the hedge structure on price and quantity in the coffee market improves the agent's result; this latter aims to improve the hedging claim's performance due to the link between demanded volume and weather-linked index. An experiment shows the strategy profit over the best-performing claim price derived only and without hedging.

Settings, populations, and time: a conceptual framework for public health interventions.

This paper presents a conceptual framework displaying how combinations of settings and populations seen in a long-term perspective may guide public health and health promotion planning and research. The notion of settings constitutes a key element of health promotion as stipulated by the Ottawa Charter from 1986. The setting approach highlights the individual, social and structural dimensions of health promotion. Likewise, the notion of populations and how they are selected forms a center pillar of public health. By joining the two perspectives, four combinations of intervention strategies appear by addressing: (1) a single population segment within a single setting, (2) multiple population segments within a single setting, (3) a single population segment within multiple settings or (4) multiple population segments within multiple settings. Furthermore, the addition of a time dimension inspired by the life-course perspective illustrates how trajectories of individuals and projects change settings and population segments as time goes by. The conceptual framework displays how systematic awareness of long-term, multi-setting, multi-population trajectories allow health promotion planners and researchers to systematically develop, plan and analyze their projects.

The Case for Administrative Benchmarks (and Some Challenges)

Summary Most U.S. Medicare beneficiaries are in population-based programs where spending targets, known as benchmarks, are used to determine payments. These include both the Medicare Advantage (MA) program, which relies on private health plans to manage care, and Accountable Care Organization (ACO) models, where providers are rewarded if they efficiently deliver care. When well designed, these models can incentivize reductions in spending and improve patient outcomes. A crucial aspect of these models, however, is how the benchmarks are determined. Policy makers have multiple approaches at their disposal, and each comes with unique strengths and weaknesses. The most common benchmark setting approach is empirical in that benchmarks are tied to actual spending or near-term forecasts based on lagged spending in fee-for-service traditional Medicare (TM). Empirical benchmarks reduce the risk that plans and providers face from fluctuations in costs that are beyond their control. That risk is absorbed by Medicare, so program spending will rise or fall with TM spending. Empirical benchmark systems have several significant weaknesses — including a ratchet effect and a collective success problem — that make it difficult for plans and providers to share in savings over the long run. This limits the long-term success of these population-based models. In contrast, administrative benchmarks are set by taking a base rate (such as historical spending) and growing it by an administrative factor that can reflect policy goals, anticipated volume, and intensity growth, or a socially agreed-upon rate, such as gross domestic product growth. The key feature is that, without policy action, the benchmark trajectory is not influenced by realized spending trends. An example of the administrative benchmark approach is the Accountable Care Prospective Trend component of the benchmarks for ACOs in the Medicare Shared Savings Program, which uses an initial benchmark, based on baseline spending, that grows based on spending growth that was forecast when the program was launched rather than realized spending growth. This administrative benchmark allows benchmark growth to diverge from, rather than track with, realized spending growth, which avoids shortcomings of empirical benchmarks and allows for greater incentives to deliver care efficiently, providing predictability over time. The key to success for administrative benchmarks is that the administrative growth rate needs to be set low enough so that Medicare saves money relative to what would happen without ACOs or MA, but high enough to still encourage participation.

The effect of patient-led goal setting approach combined with pain neuroscience education or manual therapy in patients with chronic low back pain: protocol for a parallel-group randomized controlled trial

BackgroundLow back pain (LBP) is a multifactorial disorder associated with a high range of physical and psychological burden on the society. Patient-led goal-setting approach has shown potential effects for improving chronic LBP. However, there are few studies investigating its benefits when combined with a supplementary intervention. This paper, therefore, presents a protocol for a randomized control trial (RCT) to study the effect of a patient-led goal-setting approach combined with pain neuroscience education (PNE) or manual therapy (MT) among patients with chronic LBP.MethodsA total of 105 patients suffering from chronic LBP will be recruited via flyers displayed in hospitals and universities, and those meeting the study’s criteria will randomly be allocated into a patient-led goal-setting approach with the PNE group, and/or with the MT program group, and/or a control group. The primary outcomes will be the pain intensity and disability. Secondary outcomes include quality of life, depression, anxiety and stress, fear avoidance beliefs, kinesophobia, pain self-efficacy, catastrophic pain, neurophysiology of pain, and central sensitivity. All the outcomes will be recorded at 2 months after receiving the treatment as post-test sessions and after 4 and 12 months as follow-up sessions. The Ethics Committee in Research at Sport Sciences Research Institute of Iran approved the protocol of this trial (IR.SSRC.REC.1400.084). Written, informed consent to participate will be obtained from all participants. All methods will be conducted in accordance with the ethical standards of the Declaration of Helsinki and in accordance with relevant guidelines and regulations. We will disseminate the findings through peer-reviewed publications and conference presentations and send them to the participants.DiscussionThis trial will demonstrate which supplementary intervention can better improve the impact of a patient-led goal-setting approach to treat LBP. If successful, the results will potentially have implications for athletic trainers, physiotherapists, and health care practitioners.Trial registrationIRCT Iranian Registry of Clinical Trials IRCT20210927052616N1. Registered on November 03, 2021.

Ten years of Italian mini-invasiveness: the I Go MILS registry as a tool of dissemination, characterization and networking.

Purposes of this study are to evaluate the main changes that have occurred in the Italian MILS activity in the last decade in terms of indications, approaches and outcomes as reported in the national registry and to provide specific details on the main areas of development of MILS. Data from patients undergoing minimally invasive liver resections at centers included in the I Go MILS Registry from its start-up (November 2014) to March 2023 were analyzed for the purposes of this study. The registry is intention-to-treat and prospective. Global recruitment trends stratified by indication to surgery and type of approach were analysed. 7413 MILS procedures were performed across all centers (median number of procedures per center: 63). Years (2020-2023) displayed a significantly higher proportion of treated patients diagnosed with hepatocellular carcinoma (HCC) (38.2% vs. 28.9% and 33.9%, p < 0.001) and cholangiocarcinoma (6.7% vs. 6.5% and 4.2%, p < 0.001) compared to the preceding triennial periods. Additionally, technical complexity demonstrated an increased prominence in Years (2019-2023) with a significantly higher percentage of grade III cases compared to the earlier periods (39.3% vs. 21.7% and 25.6%, p < 0.001). Annual case trends focusing on laparoscopic and robotic techniques demonstrated a steadily increase in the use of these techniques for complex case mix of indications. Overall, attitude and attention to MILS approach has evolved, so that currently indications to hepatic mini-invasiveness have expanded and surgical technique has been refined: Areas mainly involved in increasing growth trends are hepatocellular carcinoma, possible applications of MILS in transplant setting, intrahepatic cholangiocarcinoma and robotic approach.

Hierarchical structure optimal setting approach for production indexes of the rolling heating furnace temperature field

In order to improve the optimal setting temperature problem to achieve the global optimum of product performance, costs and benefits. In this article, a hierarchical structure optimal setting approach of production indexes for the rolling heating furnace temperature field (RHFTF) is proposed. It is composed of three layers with different functions to obtain the temperature control setting model of the RHFTF. In the first layer, the bi-feature Gaussian mixture model clustering (BFGMMC) algorithm of loading plan is proposed to optimize the setting of a limited number of slabs. In the second layer, the type-2 fuzzy rule interpolation (T2FRI) setting method is developed to obtain the optimal setting curve. Meanwhile, an improved KH (Kóczy-Hirota) α-cut distance (IKHCD) algorithm is proposed to get the miss information between any two adjacent interpolation points. In the third layer, knowledge feedforward compensation of rule matrices (KFCRM) algorithm is presented to improve the anti-interference ability of the setting model. The results of the study can demonstrate that the proposed method improves the accuracy of the model and optimizes the control strategy. Furthermore, the experimental results show that the proposed method meets the process technical requirements.

Diagnosis system for cancer disease using a single setting approach

Diagnosis system for cancer disease using a single setting approach

Optimization of the Thermal Environment of Large-Scale Open Space with Subzone-Based Temperature Setting Using BEM and CFD Coupling Simulation

A cruise ship, which has large-scale open spaces, has an uneven cabin thermal environment in the cruise public space, leading to overcooling or poor cooling issues. Therefore, optimizing the thermal environment of public spaces during a cruise should be the priority. According to the space functions of the cruise ship, the large public space is divided into three subzones: the entertainment area (Subzone I), the round-table dining area (Subzone II), and the square-table dining area (Subzone III). To create a uniform, stable, and comfortable thermal environment, this study proposes a subzone-based temperature setting approach to independently adjust the thermal environment of each subzone. Coupling simulation of building energy modeling (BEM) and computational fluid dynamics (CFD) was adopted in this study to determine proper temperature setpoints of the subzones under different occupancy rates. The results indicate that, compared with a single-temperature setpoint for the entire public space, the subzone-based temperature setpoints could achieve a uniform thermal environment. The average temperature difference among the three subzones was 0.68 °C. Moreover, the airflow between two adjacent subzones considerably affected the BEM results of energy consumption of the air-conditioning system.

Willingness to Vaccinate against COVID-19 among Bangladeshi Sanitation and Waste Workers: Workplace Setting Approach to Maximize Vaccination Coverage

Background: Vaccination against COVID-19 is paramount to protect the sanitation and waste workers of Bangladesh during this pandemic as they work in a variety of hazardous conditions. To avail the successful coverage it is also essential to identify the factors regarding facilitating the process including their willingness for COVID-19 vaccination. Objective: This study was aimed to explore the factors related to willingness for COVID-19 vaccination among this worker group. Methods: A cross-sectional study with a mixed-method approach was conducted among 800 sanitation and waste workers and 20 administrative authorities from the sanitation and waste management department of Dhaka city. Quantitative data was collected from the sanitation and waste workers of both North and South City Corporations of Dhaka and qualitative information was gathered from the respective administrative authorities. Logistic regression analysis and Chi-square test were used for the quantitative analysis, while the thematic analysis was used to extract results from qualitative data. Results: Although, most authorities were found to be knowledgeable, while workers had poor knowledge and misconceptions about COVID-19 vaccination. Majority workers (94.6%) had willingness to be vaccinated, owing to the effective implementation of the COVID-19 vaccine policy of Bangladesh government such as various motivational programs, assistance in vaccine registration process, establishment of special vaccine administration etc. Willingness towards vaccination found significant among the workers who were married (AOR=2.93), had more than two children (AOR=2.97), had monthly family income more than 30,000/- BDT (AOR=4.94), consumed smokeless tobacco (AOR=2.77) and who got all the necessary personal protective equipment available in their job (AOR=2.60). Conclusion: This study reflected the incredible success in willingness to vaccinate against COVID-19 among sanitation workers of Bangladesh. It is important to develop and implement action plan at policy level to protect the vulnerable groups through various relevant programs that would ensure the full coverage of vaccination across the country. Bangladesh Medical Res Counc Bull 2023; 49(1): 47-55

Searching for dialogue in public sector budgeting research: the case study of the JPBAFM

PurposeThis paper aims to respond to the recent calls to discover the research developments in the field of public budgeting. Particularly, it explores whether and how research dialogue unfolds within the public budgeting field over time and how to stimulate it further, by investigating the case of a specific journal oriented to budgeting topics.Design/methodology/approachApplying a case study strategy, this paper reviews previous studies on public budgeting published in one specific journal, the Journal of Public Budgeting, Accounting and Financial Management (JPBAFM), from its “online inception” in 1994 to 2020. Borrowing ideas from dialogue literature, the authors analyse 108 selected papers according to a multi-dimensional framework for exploring research dialogues taking into account the year of publication, authorship (and affiliation), research setting, method and theoretical approach, and, above all, research topics on budgeting.FindingsThe findings illustrate that whilst public budgeting research has been fluctuating over time in the JPBAFM, there is a growing interest in the topic over the last several years (2015–2020). Yet, the journal illustrates a limited dialogic development of the field of public budgeting, where produced knowledge has been significantly North America-oriented, normative and quantitative-dominated. Until recently, only a limited role has been given to dialogue formation between researchers and practitioners, but the current debate is increasingly being enriched by new perspectives and a wider range of experiences. Finally, public budgeting has been addressed from multiple perspectives over time, with a significant impact determined by performance and participatory budgeting. Although multiple topics are receiving growing attention, it is still under-developed in the inter-dialogue formation between topics and theories, despite the more recently growing use of different theoretical approaches and empirical and analytical rigour.Research limitations/implicationsThe research is limited to one journal as a case study and does not claim to provide an overall reflection of public budgeting research and related empirical generalisations. Instead, the authors strive for a theoretical generalisation of multi-dimensional dialogue importance in the field.Originality/valueThe value of the research lies in a comprehensive analysis of research dialogue formation within public sector budgeting over time in an international journal that has actively engaged with public sector issues and, specifically, with budgeting. By so doing, this paper adds a critical stand on the value of dialogue in fostering inter-contextual and inter-disciplinary research in the field of public budgeting.