Systematic Literature Review Of Studies Research Articles

The Prevalence of Sjögren's Disease in Dental Clinics in the Netherlands Compared with the Prevalence in a Systematic Literature Review of Studies in Other Countries.

Background/Objectives: Sjögren's disease (SjD) is an autoimmune disease causing irreversible damage to the exocrine glands but can have symptoms throughout the entire body. The aim of this study is to determine the prevalence of Sjogren's disease (SjD) in the Netherlands, compare this with the prevalence for other countries in a systematic literature review. Methods: In the first part of this study, the prevalence of SjD was determined at two academic dental clinics in the Netherlands by electronically analysing patient records. In the second part of this study, a systematic literature search was performed in PubMed. Studies in the English language reporting prevalence ratios (PRs), incidence ratios (IRs) or sufficient data to calculate these parameters were included. Population-based studies and population surveys aiming to examine an entire geographic region or using a clearly defined sampling procedure were included. Review studies were excluded. Studies that did not report sufficient data or contained no original data were excluded. Included studies were assessed using the Newcastle-Ottawa assessment scale. Results: At the dental clinic in Amsterdam, 76 SJD patients were identified among a patient population of 81941, resulting in a prevalence ratio of 93 per 100,000 (0.093%) patients. In Nijmegen, 21 SjD patients were identified in a total patient population of 14,240, resulting in a prevalence ratio of 147 per 100,000 (0.15%). Thirty-one studies were included in the systematic review. They varied in diagnostic criteria for SjD with the American-European Consensus Group (AECG) criteria being the most widely used. The reported prevalence ratio varied from 0.008% to 3.3%. The overall pooled prevalence ratio of SjD using the AECG criteria was 0.031%, while the pooled prevalence of SjD using the EU criteria was 0.029%. The overall pooled incidence ratio was 5.2 (95%CI 4.7 to 5.6) per 100,000 person-years. Conclusions: The estimated prevalence ratio of SjD in the Netherlands (0.09% to 0.15%) falls within the worldwide range but is higher than the worldwide pooled prevalence ratio.

Mobile-assisted learning of Chinese as a second/foreign language abroad: A systematic literature review of studies between 2010 and 2022

Mobile-assisted learning of Chinese as a second/foreign language abroad: A systematic literature review of studies between 2010 and 2022

HTLV-1/2 infection in Italy: a narrative review of epidemiological studies.

The human T-cell leukemia virus type 1 (HTLV-1) was first described in 1980. It is spread in highly endemic regions in the world, such as the Southwestern part of Japan, sub-Saharan Africa and South America, Caribbean, Middle East, and Australo-Melanesia regions. HTLV-1 causes adult T cell leukemia and is associated with many inflammatory conditions, most notably HTLV-1-associated myelopathy/tropic spastic paraparesis. HTLV-2, first isolated in 1982, was recognized as a common infection in intravenous drug users, but a clear association with disease remains elusive. The first estimate of HTLV-1-positive individuals worldwide, in 1993, was around 10-20 millions. Due to the lack of global population-based prevalence studies, this is considered an underestimate at the moment. Furthermore, HTLV-1 prevalence in Europe is impacted by changing migration flows. Particularly, no data on HTLV-1 prevalence in the general population in Italy are available. Here, we report a systematic literature review of studies conducted in Italy on HTLV-1/2 from 1980 to 2023. Based on the criteria we adopted a total of 426 publications were found (64 reviews, 99 epidemiological, and 263 translational studies). The contents of some representative publications are summarized and discussed. Moreover, an approximate estimation of about 26,000 HTLV-1 positive foreigners living in Italy was obtained from updated data of foreigners from each single country officially registered as resident in Italy and from data on HTLV-1 prevalence among the general population in the corresponding countries.

Feedback in mathematics education research: a systematic literature review

ABSTRACT Research shows that feedback can have large positive effects on student achievement, but that effects vary considerably. Some of the variables that influence feedback’s effects are the characteristics of the feedback. When making decisions on which research to pursue, knowledge about the focus of previous research is useful. We conducted a systematic literature review of studies that address feedback in mathematics. The aim was to identify which feedback characteristics are addressed in the reviewed publications, which characteristics have been given ample research attention and which have been neglected. We searched for publications from 2012–2021 in three bibliographic databases: ERIC, Psychinfo, and Academic Search Premier. We identified 12 feedback categories and 5 variables which together describe the characteristics of the feedback in the publications found in the literature search. Feedback about the correctness of students’ answers and solution processes were common characteristics, while feedback on students’ self-regulation was uncommon.

Teacher absenteeism: a conceptual model developed from a systematic literature review

ABSTRACT Teacher absenteeism has high individual and societal costs and triggers a vicious cycle by increasing teacher absenteeism for the remaining teachers. Moreover, teachers’ non-attendance disrupts the learning process and affects student motivation and achievement. Teacher absenteeism further exacerbates the increasing teacher shortage observed in many countries. This paper provides a systematic literature review of studies analysing teacher absenteeism and develops a conceptual model of the predictors of teacher non-attendance at school. Our findings provide a nuanced and overarching approach to analysing teacher non-attendance at work, revealing the most significant correlates to absenteeism and exposing the consequences of educator absences on student achievement. Finally, several concrete policy implications are discussed.

(Re)countering multilingualism and refugee-background students in Australian compulsory education

Compared with nations around the world, Australia has one of the highest rates of refugee resettlement per capita. Approximately 40 per cent of newly arrived refugees in Australia in 2018–19 were under the age of 18 and close to 90 per cent spoke a language other than English. Given that education is compulsory until the age of 16 in most states and territories of Australia, young people labelled as refugee-background students (RBSs) are tasked with navigating the English-only education system, in which their multilingualism is often viewed as a barrier; however, there are increasing calls for research to focus on the positive, affirmative practices of RBSs through a strengths-based approach in education, to counter a ‘damage-centred’ and deficit discourse. Thus, this article presents a systematic literature review of studies conducted in Australia with RBSs between 2010 and 2022. Specifically, this review explores the strengths-based multilingual practices of RBSs in compulsory education in Australia. Inspired by RefugeeCrit theory, we seek to highlight strengths-based examples of RBSs multilingual practices as examples of counter-narratives to the prevailing deficit discourse, while remaining attentive to issues of trauma, agency and multilingualism.

Statistical data transformation in agrarian sciences for variance analysis: a systematic review

In statistical analyses, a common practice for enhancing the validity of variance analysis is the application of data transformation to convert measurements into a different mathematical scale. This technique was first employed in 1898 by Edgeworth and remains relevant in current scientific publications despite the proliferation of more modern and advanced techniques that obviate the need for certain assumptions. Data transformations, when appropriately used, can make the model error terms approximate a normal distribution. It is also possible to use the technique to correct the heterogeneity of variances or to render an additive model, ensuring the validity of the analysis of variances. Given that this technique can be hastily applied, potentially leading to erroneous or invalid results, we conducted a systematic literature review of studies in the field of agrarian sciences that utilized data transformations for the validation of analysis of variances. The aim was to check the transformations employed by the scientific community, the motivation behind their use, and to identify possible errors and inconsistencies in applying the technique in publications. In this study, we identified shortcomings and misconceptions associated with using this method, and we observed incomplete and inadequate utilization of the technique in 94.28 % of the analysed sample, resulting in misguided and erroneous conclusions in scientific research outcomes.

Outcomes of chemotherapy-induced nausea and vomiting guideline adherence in pediatric and adult patients: a systematic review.

This study describes chemotherapy-induced nausea and vomiting (CINV) control rates in pediatric and adult patients who did or did not receive guideline-consistent CINV prophylaxis. We conducted a systematic literature review of studies published in 2000 or later that evaluated CINV control in patients receiving guideline-consistent vs. guideline-inconsistent CINV prophylaxis and reported at least one CINV-related patient outcome. Studies were excluded if the guideline evaluated was not publicly available or not developed by a professional organization. Over-prophylaxis was defined as antiemetic use recommended for a higher level of chemotherapy emetogenicity than a patient was receiving. We identified 7060 citations and retrieved 141 publications for full-text evaluation. Of these, 21 publications (14 prospective and seven retrospective studies) evaluating guidelines developed by six organizations were included. The terms used to describe CINV endpoints and definition of guideline-consistent CINV prophylaxis varied among studies. Included studies either did not address over-prophylaxis in their definition of guideline-consistent CINV prophylaxis (48%; 10/21) or defined it as guideline-inconsistent (38%; 8/21) or guideline-consistent (3/21; 14%). Eleven included studies (52%; 11/21) reported a clinically meaningful improvement in at least one CINV endpoint in patients receiving guideline-consistent CINV prophylaxis. Ten reported a statistically significant improvement. This evidence supports the use of guideline-consistent prophylaxis to optimize CINV control. Institutions caring for patients with cancer should systematically adapt CINV CPGs for local implementation and routinely evaluate CINV outcomes.

Systematic Literature Review of Studies Reporting Measures of Functional Outcome or Quality of Life in People with Negative Symptoms of Schizophrenia.

Negative symptoms of schizophrenia (NSS) have been linked with poor functional outcomes. A literature review was performed to identify instruments used to assess functional outcomes and quality of life in clinical trials and observational studies conducted in groups of people with NSS. Literature search strings were designed using Medical Subject Headings combined with free-text terms and searches were performed using the PubMed, Embase and the Cochrane Library databases. For inclusion, articles were required to be published as full-text articles, in English, over the period 2011-2021, include at least one group or treatment arm of people with NSS and report either functional outcomes or quality of life (QoL). Literature searches identified a total of 3,268 unique hits. After two rounds of screening, 37 publications (covering 35 individual studies) were included in the review. A total of fourteen different instruments were used to assess functional outcomes and eleven different instruments were used to assess QoL. In studies in people with NSS, the most frequently used functional outcome measures were the Personal and Social Performance scale and the Global Assessment of Functioning. The most frequently used QoL instruments included the Manchester Short Assessment of Quality of Life, the Heinrich Carpenter Quality of Life Scale, the Schizophrenia Quality of Life Scale and the EQ-5D. A large number of measures have been used to assess functional outcomes and QoL in people with NSS, these include both generic and condition-specific as well as both interviewer-administered and self-reported instruments.

Enactive Interaction in Support of Creative Learning: A Systematic Literature Review

Creative learning can be understood as a process of personal transformation driven by the acquisition of new knowledge and skills through active participation in projects that are meaningful to the individuals. This process enables them to develop the capacity for innovation in different contexts. Contemporary technologies that allow more physical and immersive modes of interaction brought the concept of enactive systems, technological environments where there is a form of dynamic body-technology coupling. In this work, we present results from a systematic literature review of studies that supported creative learning using interactive environments with enactive characteristics, in educational contexts. The systematic review was conducted based on works published during the period of 2012–2022. The methodology details the research questions, selection criteria, search string, data collection and the quality and relevance of the selected documents. Results showed that environments of the selected studies present mainly the embodiment and emergence characteristics as part of their interaction. These environments promoted user initiatives, enabled users to think creatively and encouraged communication and collaboration. Results also point out other aspects of enactive approaches to cognition such as autonomy, sense-making, and intersubjectivity.

Exploration of branches of physics for handling several cases in sports applications: A systematic literature review

The principles of physics have become a primary focus in the development of sensory technology and biomechanical analysis in the context of modern sports. This study aims to explore the contributions of physics in enhancing athlete performance and reducing injury risks. A systematic literature review (SLR) was conducted to identify relevant empirical studies highlighting the role of physics in sports. Data were analyzed from Scopus database sources with criteria as specified in the SLR study and with the PRISMA method. Search strategies using predefined keywords referring to the current topic were employed. The results of the literature review indicate that the application of sensory technology and biomechanical analysis has provided profound insights into human body movements in sports. Technologies such as motion capture and 3D analysis have enabled the identification of specific aspects of athlete techniques that require improvement. Furthermore, real-time feedback from sensor technology has assisted in direct adjustments during training, potentially enhancing the quality of athlete techniques and reducing injury risks. Integrating the principles of physics in sports not only enhances athlete performance but also constitutes an integral part of injury prevention efforts and effective care. Thus, understanding and applying the principles of physics in the context of sports can provide significant benefits to athletes, coaches, and sports health professionals in efforts to enhance athlete well-being and performance. Keywords. Sports, biomechanics, kinematics, physics

Unlocking the potential of Industry 4.0 in BRICS nations: a systematic literature review and meta-analysis

PurposeThis study is intended to introduce and summarise Industry 4.0 practices in BRICS nations (the abbreviation “BRICS” is made up of the first letters of the member countries: Brazil, Russia, India, China and South Africa) and determine each nation’s current contribution to Industry 4.0 practice implementation based on past literature. As the BRICS countries continue to play an essential role in the global economy, it is significant to understand Industry 4.0, focussing on these emerging economies.Design/methodology/approachTo assess the present research work on Industry 4.0 practices and research studies in BRICS nations, a systematic literature review (SLR) is performed using the articles available on the SCOPUS database. This study is a descriptive analysis based on the frequency and year of publications, the most influential universities, most influential journals and most influential articles. Similarly, this study consists of category analysis based on multi-criteria decision-making (MCDM) methods, research design used, research method utilised, different data analysis techniques and different Industry 4.0 technologies were used to solve different applications in the BRICS nations.FindingsAccording to the analysis of past literature, the primary identified practices are centred on operations productivity, waste management, energy reduction and sustainable processes. It also found that despite the abundance of research on Industry 4.0, the major academic journal publications are restricted to a small number of industries and issues in which the manufacturing and automotive industries are front runners. The categorisation of selected papers based on the year of publication demonstrates that the number of publications has been rising. It is also found that China and India, out of the BRICS countries, have contributed significantly to Industry 4.0-related publications by contributing 61 percent of the total articles identified. Similarly, this study identified that qualitative research design is the most adopted framework for research, and empirical triangulation is the least adopted framework in this field. The categorisation of selected articles facilitates the identification of numerous gaps, such as that 67.14% of the literature research is qualitative.Practical implicationsUnderstanding Industry 4.0 in the BRICS nations helps to identify opportunities for international collaboration and future cooperation possibilities. This study helps to promote collaboration between BRICS countries and other nations, organisations or businesses interested in capitalising on these growing economies' assets and capabilities related to Industry 4.0 technologies. This study helps to provide essential insights into the economic, technological and societal impacts, allowing for effective decision-making and strategic planning for a sustainable and competitive future. So, this contribution links the entire world in terms of the better utilisation of resources, the reduction of downtime, improving product quality, personalised products and the development of human resource capabilities through the application of cutting-edge technologies for nearly half of the world’s population.Originality/valueIn this study, BRICS nations are selected due to their significant impact on the world regarding social, economic and environmental contributions. In the current review, 423 articles published up to August 2022 were selected from the SCOPUS database. The comparison analysis of each BRICS nation in the form of applications of Industry 4.0, the primary area of focus, leading industry working, industry involvement with universities and the area that needs attention are discussed. To the best of our knowledge, this is the most recent SLR and meta-analysis study about Industry 4.0 in BRICS nations, which analysed the past available literature in nine different descriptive and category-wise classifications, considering a total of 423 articles. Based on this SLR, this study makes some important recommendations and future directions that will help achieve social, economic and environmental sustainability in BRICS nations.

Molnupiravir Use Among Patients with COVID-19 in Real-World Settings: A Systematic Literature Review.

Molnupiravir (MOV) is an oral antiviral for the treatment of individuals with mild-to-moderate COVID-19 and at high risk of progression to severe disease. Our objective was to conduct a systematic literature review (SLR) of evidence on the effectiveness of MOV in reducing the risk of severe COVID-19 outcomes in real-world outpatient settings. The SLR was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines and using pre-determined population, intervention, comparison, outcome, time, and study design inclusion criteria. Eligible studies were published between January 1, 2021, and March 10, 2023, and evaluated the real-world effectiveness of MOV compared to no treatment in reducing the risk of severe COVID-19 outcomes among outpatients ≥ 18years of age with a laboratory-confirmed diagnosis of SARS-CoV-2 infection. Nine studies from five countries were included in the review. The size of the MOV-treated group ranged from 359 to 7818 individuals. Omicron variants of SARS-CoV-2 were dominant in all study periods. Most studies noted differences in the baseline characteristics of the MOV-treated and untreated control groups, with the treated groups generally being older and with more comorbidities. Eight studies reported that treatment with MOV was associated with a significantly reduced risk of at least one severe COVID-19 outcome in at least one age group, with greater benefits consistently observed among older age groups. In this SLR study, treatment with MOV was effective in reducing the risk of severe outcomes from COVID-19 caused by Omicron variants, especially for older individuals. Differences in the ages and baseline comorbidities of the MOV-treated and control groups may have led to underestimation of the effectiveness of MOV in many observational studies. Real-world studies published to date thus provide additional evidence supporting the continued benefits of MOV in non-hospitalized adults with COVID-19.

Statistical data transformation in agrarian sciences for variance analysis: a systematic review

In statistical analyses, a common practice for enhancing the validity of variance analysis is the application of data transformation to convert measurements into a different mathematical scale. This technique was first employed in 1898 by Edgeworth and remains relevant in current scientific publications despite the proliferation of more modern and advanced techniques that obviate the need for certain assumptions. Data transformations, when appropriately used, can make the model error terms approximate a normal distribution. It is also possible to use the technique to correct the heterogeneity of variances or to render an additive model, ensuring the validity of the analysis of variances. Given that this technique can be hastily applied, potentially leading to erroneous or invalid results, we conducted a systematic literature review of studies in the field of agrarian sciences that utilized data transformations for the validation of analysis of variances. The aim was to check the transformations employed by the scientific community, the motivation behind their use, and to identify possible errors and inconsistencies in applying the technique in publications. In this study, we identified shortcomings and misconceptions associated with using this method, and we observed incomplete and inadequate utilization of the technique in 94.28% of the analysed sample, resulting in misguided and erroneous conclusions in scientific research outcomes.

Student Statistical Literacy as An Initial Study for Sekolah Siaga Kependudukan in Indonesia : A Systematic Literature Review

This study aims to analyze studies on statistical literacy skills in Sekolah Siaga Kependudukan (SSK). Statistical literacy skill is part of mathematical literacy skill which is an assessment of students' mathematical abilities. The method used was a Systematic Literature Review (SLR) of all research articles indexed in Scopus, Sinta, Google Scholar, Semantic, and ERIC in the period 2018-2023. The search strategy was adjusted to the selection criteria. It used the PRISMA protocol with study characteristics such as education level, year of publication, research method, sample size, journal indexer, and research location. Data analysis of this study was conducted in a quantitative descriptive manner. The results of this SLR study stated that research related to students' statistical literacy skills has relatively increased research trends over the past five years. The research database that has been published and is the result of SLR research shows that most journal indexers are Q2 rank Scopus and are dominated by qualitative research. The majority of research locations were carried out in Indonesia in accordance with the existence of the Sekolah Siaga Kependudukan, which only exists in Indonesia. Further research recommendations can accommodate statistical research and learning with collaborative modules and student activities so as to improve aspects of statistical literacy skills in the form of interpreting, communicating, evaluating, and making data-based decisions.

Systematic literature review based on the descriptive, bibliometric, and content analysis of renewable energy supply chain for a circular economy

Recently, the renewable energy supply chain has gained momentum as a vital component for clean energy, contributing to a sustainable future for the world. The development of the renewable energy supply chain is directly linked to circular economy targets and practices. This paper presents a systematic literature review of studies that analyze the roles, functions, and application objectives of the circular economy in the renewable energy supply chain. The aim of this review is to investigate key elements of renewable energy supply chains in the circular economy, shedding light on the state of research on the progress of sustainability in renewable energy supply chains, and guiding future research. Mainly, the systematic literature review demonstrates its findings by identifying and mapping the collated literature to reviews and applied studies that support and drive the renewable energy supply chain under the circular economy. This review paper is handled with a systematically descriptive, bibliometric, and content analysis hybrid approach, framed using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology on the research topic. Findings show that circular economy applications have gained momentum in the renewable energy supply chain; nonetheless, some deficiencies persist. Redesign-based applications and design for recycling concepts encompass a significant gap in the renewable energy supply chain. Moreover, the current literature lacks outcomes on the applicability of circular economy 10R targets and the interrelationship and scalability of sustainable development goals in the renewable energy supply chain.

The Influence of Business Intelligence to Maintain Customer Relationships in Small and Medium Enterprises in Indonesia

The adoption of Business intelligence (BI) has become increasingly prominent among organizations for attracting customers and gaining a competitive edge. This becomes even more important for small and medium enterprises (SMEs) which face immense pressure to retain existing customers and attract more customers for survival. This study presents a systematic literature review of studies investigating the impact of BI on customer relations with exclusive focus on Indonesia, which has a growing number of SMEs (also called ‘UMKMs’). By examining 15 papers published between 2013 to 2024, the findings of the study highlight that BI contributes to building better connections with customers and making them feel more engaged and satisfied. This study provides valuable insights for SMEs in Indonesia to adopt BI to attract more customers. The findings of the study also lay the foundation for future research, especially those wanting to perform an empirical investigation.

Challenges and solutions in the development of blockchain applications: Extraction from SLR and empirical study

AbstractData protection is the most prior and valuable concern as stealing personal/organizational data by cyber criminals may arise issues ranging from privacy disclosure to system hacking. Blockchain is considered a top leading technology with the influence to reshape future industries, but like other revolutionary technologies, blockchain has its merits and demerits as well. However, due to its nascent stage, blockchain technology poses numerous challenges that hinder the effective development of blockchain. To uncover this potential hindrance and group the relevant barriers, a total of 12 challenges that may hinder the progress of blockchain application development have been identified from a sample of 52 primary studies. Based on the results of our research, the six challenges are considered critical an account for more than 30% occurrence. The critical challenges are “Lack of Proper Development Tools and Technology,” “Security Precaution Measures,” “Lack of Governance and Standards,” “Lack of Professional Expertise with Essential Skills and Knowledge,” “Lack of Organizational Support,” and “Interoperability Integration.” Using a comprehensive systematic literature review (SLR) and a questionnaire survey, a list of 65 solutions/practices has been identified to address the challenges that were identified. These solutions/practices will help blockchain developers to address the identified challenges and develop benign blockchain application in future. The results of our questionnaire survey largely align with the findings of the SLR. However, there are variations in the ranking of the challenges between the two datasets. The finding of this paper is to provide insights that can assist in streamlining and optimizing the development process of blockchain applications with greater ease and efficiency.

Performance of clinical, laboratory and imaging features for diagnosing spondyloarthritis-a systematic literature review and meta-analysis.

The Berlin algorithm was developed to help diagnosing axial spondyloarthritis (axSpA), but new studies suggest some features typical of SpA are less specific than previously assumed. Furthermore, evidence is lacking for other SpA subtypes (e.g. peripheral SpA). We aimed to review the evidence on the performance of SpA features for diagnosing each SpA subtype. Systematic literature review of studies reporting the diagnostic performance of ≥ 1 SpA feature in patients with suspected SpA. The external reference was the rheumatologist's diagnosis of SpA. Meta-analysis was performed, separately for each SpA subtype, to estimate pooled sensitivity, specificity, positive (LR+) and negative (LR-) likelihood ratios. Meta-regression assessed the effect of covariates (e.g. feature's prevalence) on each feature's performance. Of 13 844 articles screened, 46 were included. Sacroiliitis on magnetic resonance imaging, damage on pelvic radiographs and elevated C-reactive protein (CRP) had the best balance between LR+ and LR- (LR + 3.9-17.0, LR- 0.5-0.7) for diagnosing axSpA. HLA-B27 had an LR+ lower than anticipated (LR + =3.1). Inflammatory back pain (IBP) had low LR + (LR+∼1), but substantially decreased the likelihood of axSpA when absent (LR-=0.3). Conversely, peripheral features and extra-musculoskeletal manifestations showed high LR + (LR+ 1.6-5.0), but were as common in axSpA as no-axSpA (LR-∼1). The specificity of most features was reduced in settings when these were highly prevalent. Limited data precluded a detailed analysis on diagnosing other SpA subtypes. Imaging features and CRP have good diagnostic value for axSpA. However, the specificity of other features, especially HLA-B27 and IBP, is lower than previously known.

Sustainable Last-Mile Logistics in Economics Studies: A Systematic Literature Review

In recent years, many cities throughout the world are facing the impact of last-mile logistics and the resulting rise in urban traffic and pollution. Effects on the environment have been curbed by these dynamics. Urban traffic has a considerable impact in terms of noise emissions, road safety and air pollution: hence, both public and private parties should undertake innovative solutions for reducing the negative effects of last-mile logistics and improving their operational effectiveness. This study aims to provide a systematic literature review of studies having as their main topic environmentally sustainable last-mile logistics with the perspective of economic studies. The review of the literature reveals that the majority of recent studies have been based on engineering and urban planning approaches. Costs and benefits of last-mile logistics are approached with a public economics focus, gathering details from the different papers, starting with the business studies and then exploring the technology-oriented ones. This study aims to detect the different topics and policies discussed in the literature, and it suggests how to incorporate them in creating new measures and policies for last-mile logistics in the urban area, or for revamping current ones.