Full Text Research Articles

Study protocol for a systematic review of the social determinants of mental health and well-being of older migrants aged 50 years and above

Background Migration is a milestone event in a person’s life, bringing with it the challenges of settling down in an unfamiliar environment. The age at which migration takes place and the way migrants negotiate their old and new world significantly impacts their mental health. Thus, this systematic review seeks to analyse and summarize existing research detailing the contexts in which people migrate later in life and the associations between these contexts and social determinants of their mental health and well-being. Methods Seven databases including PsycINFO, Web of Science, PubMed, Applied Social Sciences Index, Abstracts: ASSIA, Ageline, CINAHL, and Informit will be searched systematically for original journal articles published in English. In the first screening stage, the first reviewer (PB) will screen all titles and abstracts and mark all potentially eligible texts for full-text screening. The second reviewer (HM) will review the decisions made. Any potential conflicts will be resolved with discussion. Afterward, full texts of potentially eligible studies will be assessed for eligibility by two reviewers (PB and HM). The methodological quality (or risk of bias) of individual studies will be appraised using the Mixed Method Appraisal Tool. The thematic synthesis of the data will be performed using a hybrid approach incorporating deductive (framed against a customised social determinants of health framework) and inductive data-driven processes. The review protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO) (Reg: CRD42022359881).

COVID-19 and the Americans with Disabilities Act: Implications for employment and higher education.

The Americans with Disabilities Act (ADA) is a federal law that protects individuals with disabilities from discrimination in all areas of public life. The ADA contributes to equal opportunity across policy areas, including the interconnected domains of higher education and employment. Since the onset of the COVID-19 pandemic in 2020, emerging research has begun to document the disparities in impact on people with disabilities, among other marginalized groups. However, no research to date has reviewed and synthesized literature that addresses disability discrimination related to COVID-19 that has implications for application of the ADA. This rapid evidence review aims to increase understanding about how COVID-19 has resulted in challenges for people with disabilities in the domains of employment and higher education that may be resolved through application of the ADA. Keyword searches were conducted in five electronic databases. Title, abstract, and full text screening was conducted followed by a thematic analysis of key ADA themes. Twelve final articles were included in this review, eight categorized within higher education and four within employment. In relation to the ADA and COVID-19, five studies revealed findings related to web accessibility, eight related to effective communication, and four related to reasonable accommodations. The findings provide a broad overview of the current research on how COVID-19 has affected accessibility, communications and accommodations in employment and higher education and identify gaps in the literature within these policy domains.

Disability Research in Zambia: A Scoping Review

Background: Globally, people with disabilities experience exclusion from health, education, employment, and other aspects of daily life. Evidence on lived experience across key life areas (such as education, health, and employment) is necessary to promote disability-inclusive policy and practice, but there is often limited evidence from sub-Saharan Africa and there is no current synthesis in Zambia. Objectives: This scoping review aimed to synthesise evidence relevant to the lived experience of people with disabilities in Zambia across key life areas, in order to support national disability policy and practice. Method: MEDLINE, Embase, Web of Science, CINAHL, PsycInfo, Global Health, Africa-Wide Information and grey literature sources were searched from database inception until June 2023, although after the database search, we included only articles published from 2007, after adoption of the United Nations Convention on the Rights of Persons with Disabilities. Articles of any study design that were relevant to disability in Zambia were included, although prevalence studies were excluded to keep the focus on lived experience. Search results were independently screened by two reviewers, first by title/abstract, then by full text. Study characteristics and key findings were extracted, with findings narratively synthesised across key topic areas, such as health, education, and family support. Results: From 10,327 search results, 122 articles were included. Over a third of included articles focused on education for children with disabilities (n = 41, 34%) and the majority were conducted in Lusaka Province (n = 73, 60%). The included research demonstrated a number of challenges experienced by people with disabilities in Zambia that impinge on their human rights, including inaccessible environments, stigma and discrimination, and limited support. Evidence is relatively limited in some key areas, including healthcare and employment, and there is need for up-to-date research. Conclusions: People with disabilities in Zambia experience daily challenges. There is need for action to improve disability inclusion in Zambia in line with the United Nations Convention on the Rights of Persons with Disabilities.

A scoping review on the clinical effectiveness of Trans-Impedance Matrix (TIM) measurements in detecting extracochlear electrodes and tip fold overs in Cochlear Ltd devices.

Extrusion of electrodes outside the cochlea and tip fold overs may lead to suboptimal outcomes in cochlear implant (CI) recipients. Intraoperative measures such as Trans-Impedance Matrix (TIM) measurements may enable clinicians to identify electrode malposition and direct surgeons to correctly place the electrode array during surgery. To assess the current literature on the effectiveness of TIM measurements in identifying extracochlear electrodes and tip fold overs. A scoping review of studies on TIM-based measurements were carried out using the Databases-Medline/PubMed, AMED, EMBASE, CINAHL and the Cochrane Library following PRISMA guidelines. Eleven full texts articles met the inclusion criteria. Only human studies pertaining to TIM as a tool used in CI were included in the review. Further, patient characteristics, electrode design, and TIM measurement outcomes were reported. TIM measurements were available for 550 implanted ears with the subjects age ranged between 9 months to 89 years. Abnormal TIM measurements were reported for 6.55% (36). Tip fold over was detected in 3.64% (20) of the cases, extracochlear electrodes in 1.45% (8), and 1.45% (8) were reported as buckling. Slim-modiolar electrode array designs were more common (54.71%) than pre-curved (23.34%) or lateral wall (21.95%) electrode array. Abnormal cochlear anatomy was reported for five ears (0.89%), with normal cochlear anatomy for all other patients. TIM measurement is a promising tool for the intraoperative detection of electrode malposition. TIM measurement has a potential to replace intraoperative imaging in future. Though, TIM measurement is in its early stages of clinical utility, intuitive normative data sets coupled with standardised criteria for detection of abnormal electrode positioning would enhance its sensitivity.

Comparing code-free and bespoke deep learning approaches in ophthalmology.

Code-free deep learning (CFDL) allows clinicians without coding expertise to build high-quality artificial intelligence (AI) models without writing code. In this review, we comprehensively review the advantages that CFDL offers over bespoke expert-designed deep learning (DL). As exemplars, we use the following tasks: (1) diabetic retinopathy screening, (2) retinal multi-disease classification, (3) surgical video classification, (4) oculomics and (5) resource management. We performed a search for studies reporting CFDL applications in ophthalmology in MEDLINE (through PubMed) from inception to June 25, 2023, using the keywords 'autoML' AND 'ophthalmology'. After identifying 5 CFDL studies looking at our target tasks, we performed a subsequent search to find corresponding bespoke DL studies focused on the same tasks. Only English-written articles with full text available were included. Reviews, editorials, protocols and case reports or case series were excluded. We identified ten relevant studies for this review. Overall, studies were optimistic towards CFDL's advantages over bespoke DL in the five ophthalmological tasks. However, much of such discussions were identified to be mono-dimensional and had wide applicability gaps. High-quality assessment of better CFDL applicability over bespoke DL warrants a context-specific, weighted assessment of clinician intent, patient acceptance and cost-effectiveness. We conclude that CFDL and bespoke DL are unique in their own assets and are irreplaceable with each other. Their benefits are differentially valued on a case-to-case basis. Future studies are warranted to perform a multidimensional analysis of both techniques and to improve limitations of suboptimal dataset quality, poor applicability implications and non-regulated study designs. For clinicians without DL expertise and easy access to AI experts, CFDL allows the prototyping of novel clinical AI systems. CFDL models concert with bespoke models, depending on the task at hand. A multidimensional, weighted evaluation of the factors involved in the implementation of those models for a designated task is warranted.

Systematic review and meta-analysis of text messaging interventions to support tobacco cessation

ObjectiveTo review randomised controlled trials (RCTs) investigating the effectiveness of text message-based interventions for smoking cessation, including the effects of dose (number of text messages) and concomitant use of behavioural...

Design and implementation of breast cancer prediction system based on machine learning

With the increasing incidence of breast cancer worldwide, early diagnosis and treatment of breast cancer has become the key to improving patient survival and quality of life. As a powerful data analysis tool, machine learning is increasingly widely used in the medical field, especially in disease prediction and assisted diagnosis. This paper aims to design and implement a machine learning-based breast cancer prediction system to improve the early diagnosis rate of breast cancer and reduce medical costs. Through an in-depth analysis of the global incidence of breast cancer and the current application of machine learning in the medical field, this study clarified the importance of breast cancer prediction and the problems existing in the existing prediction system. This paper further discusses the theoretical basis of machine learning in breast cancer detection, evaluates the advantages and disadvantages of commonly used machine learning algorithms, and reviews the latest research progress in this field at home and abroad. In the part of system design and implementation, the architecture design, data flow and processing process of the prediction system, as well as the method of data preprocessing and feature selection are introduced in detail. In addition, this paper also constructs a machine learning model suitable for breast cancer prediction, and carries out systematic implementation and testing through the actual development environment. In the discussion section, the applicability of machine learning model in breast cancer prediction is analyzed, the causes of model inefficiency are discussed, and the corresponding solutions are proposed. Finally, the paper summarizes the content of the full text, points out the limitations of the research, and puts forward the direction of future research. The results of this study not only provide a new technical means for the early diagnosis of breast cancer, but also provide valuable experience for the application of machine learning in the medical field.

Machine Learning-Based Approach for Identifying Research Gaps: COVID-19 as a Case Study.

Research gaps refer to unanswered questions in the existing body of knowledge, either due to a lack of studies or inconclusive results. Research gaps are essential starting points and motivation in scientific research. Traditional methods for identifying research gaps, such as literature reviews and expert opinions, can be time consuming, labor intensive, and prone to bias. They may also fall short when dealing with rapidly evolving or time-sensitive subjects. Thus, innovative scalable approaches are needed to identify research gaps, systematically assess the literature, and prioritize areas for further study in the topic of interest. In this paper, we propose a machine learning-based approach for identifying research gaps through the analysis of scientific literature. We used the COVID-19 pandemic as a case study. We conducted an analysis to identify research gaps in COVID-19 literature using the COVID-19 Open Research (CORD-19) data set, which comprises 1,121,433 papers related to the COVID-19 pandemic. Our approach is based on the BERTopic topic modeling technique, which leverages transformers and class-based term frequency-inverse document frequency to create dense clusters allowing for easily interpretable topics. Our BERTopic-based approach involves 3 stages: embedding documents, clustering documents (dimension reduction and clustering), and representing topics (generating candidates and maximizing candidate relevance). After applying the study selection criteria, we included 33,206 abstracts in the analysis of this study. The final list of research gaps identified 21 different areas, which were grouped into 6 principal topics. These topics were: "virus of COVID-19," "risk factors of COVID-19," "prevention of COVID-19," "treatment of COVID-19," "health care delivery during COVID-19," "and impact of COVID-19." The most prominent topic, observed in over half of the analyzed studies, was "the impact of COVID-19." The proposed machine learning-based approach has the potential to identify research gaps in scientific literature. This study is not intended to replace individual literature research within a selected topic. Instead, it can serve as a guide to formulate precise literature search queries in specific areas associated with research questions that previous publications have earmarked for future exploration. Future research should leverage an up-to-date list of studies that are retrieved from the most common databases in the target area. When feasible, full texts or, at minimum, discussion sections should be analyzed rather than limiting their analysis to abstracts. Furthermore, future studies could evaluate more efficient modeling algorithms, especially those combining topic modeling with statistical uncertainty quantification, such as conformal prediction.

Interventions in adult patients with multimorbidity in low-income and middle-income countries: protocol for a mixed-methods systematic review

IntroductionMultimorbidity, the coexistence of two or more chronic conditions in the same individual, is a major public health problem in low-income and middle-income countries (LMICs). The use of single-disease guidelines...

Faktor- Faktor Yang Mempengaruhi Kejadian Stunting Pada Balita Di Indonesia Tahun 2024

Stunting caused by malnutrition during the growth and development process has a higher risk of illness and death in adulthood, so it can hamper motor skills and reduce the level of productivity and competitiveness of a nation (Rahmadhita, 2020). National nutritional status survey data (SSGI) in 2022, the prevalence of stunting was 21.6%. The target stunting rate in Indonesia is 14% in 2024 and the WHO standard target is below 20%, therefore how important it is to handle stunting in Indonesia. The aim of this research is to determine the factors that influence the incidence of stunting in toddlers. The method in this research is a full text critical review in Indonesian. Articles were selected in stages using the appraisal tool preferred reporting items for systematic reviews and meta analyzes (PRISMA), then duplicate filtering was carried out, screening was carried out based on title and abstract, full text, feasibility studies and until the final stage 11 articles were found that met the inclusion and study criteria. appropriateness. The results of this research show that the factors that influence the incidence of stunting in toddlers are exclusive breastfeeding, low birth weight, infectious diseases, mother's height, mother's education, family income, and nutritional status of pregnant women.

Self-management needs, strategies and support for sickle cell disease in developing countries: a scoping review protocol

IntroductionSickle cell disease (SCD) poses a significant global health burden, particularly affecting individuals in developing countries with constrained healthcare resources. While research on self-management in the context of SCD is...

Synthesis and Isolation of a Homochiral Nanohoop Composed of a Tröger's Base and Hexaparaphenylene.

Invited for the cover of this issue are Yusuke Yoshigoe, Hirotaka Shimada, and Shinichi Saito at the Tokyo University of Science, and Takuya Takaki and Yoshitane Imai at Kindai University. The image depicts a witch with a racemic pair of our nanohoops, TB[6]CPPs, chanting words shown in the font of a magical world. Read the full text of the article at 10.1002/chem.202304059.

Effectiveness of reframing as behaviour management technique in paediatric dentistry: A scoping review

Background: For children with fear and anxiety, dental appointments are considered as stressful situations. The dental literature has mentioned various behaviour management techniques used to reduce the dental fear and anxiety. Reframing is one such technique which is used for behaviour management with wide applications in health sciences. Hence, exploring this technique in the dental literature is of prime importance.Objectives: This scoping review aims to identify the evidence on the effectiveness of reframing as behaviour management technique in children undergoing dental treatment in the available literature.Method: The Joanna Briggs Institute methodology for scoping reviews is followed in this study and relevant published data from case reports, randomized and nonrandomized controlled clinical trials and literature reviews published without restricting time line till August 2023 from online databases of PubMed, Scopus, ProQuest were assessed by two reviewers for their suitability with our aim of study. The data were synthesized using content analysis.Results: Through literature search, 108 articles were found based on search strategy. After screening the titles, keywords and abstract and removing the duplicates only 10 articles were included for full text review. In the end only 5 articles were included for scoping review for their content analysis.Conclusions: The searched literature has revealed that reframing had changed the behaviour of the child towards dental outcomes but the literature is sparse regarding behaviour management technique for children to alleviate fear and anxiety. Also, there were no clinical trials done to know the efficacy of this technique and means to measure the outcome.

Effectiveness of family centred interventions for family caregivers: A systematic review and meta-analysis of randomized controlled trials.

To examine the effectiveness of family-centred interventions among family caregivers. Family-centred interventions are an emerging form of intervention that can be effective at improving physical and mental health outcomes for patients and family caregivers. To date, no reviews have examined the effectiveness of family-centred interventions for family caregivers. A systematic review, including a meta-analysis, was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020) checklist. Seven English and two Chinese electronic databases were compressively searched from the outset to March 2023. Two researchers independently reviewed the abstracts and full texts, extracted the data and assessed the risk of bias independently by using the Cochrane 'Risk of bias assessment tool'. This systematic review and meta-analysis included 20 articles. The results of the meta-analysis showed that family-centred interventions could significantly improve caregiver burden (p=0.003), quality of life (p=0.007), depression (p=0.0002), and stress (p<0.0001) but not anxiety or family functioning. According to our subgroup analysis, the family-centred empowerment model (p=0.009) was superior to the other family intervention (p=0.004) in reducing caregiver burden. Family-centred interventions are more effective at reducing the burden of caregiving on family caregivers of adolescent patients (SMD=-0.79, 95% CI[-1.22,-0.36], p=0.0003) than on adult patients (SMD=-0.37, 95% CI [-0.61,-0.12], p=0.004). Family-centred interventions could enhance family caregivers' burden, quality of life, stress and depression but had no significant impact on anxiety or family functioning. Family-centred interventions have the potential to improve the health status and caregiving burden of family caregivers. Rigorous and high-quality evidence is needed to confirm the long-term effects of these interventions on family caregivers. The protocol has been registered in the PROSPERO international prospective register of systematic reviews (Protocol registration ID: CRD42023453607).

(159) Factors and Management Strategies for Addressing Reduced Glans Engorgement Following Inflatable Penile Prosthesis: A Scoping Review

Abstract Introduction Inflatable penile prosthesis (IPP) provides a reliable stiffness along the length of the penile shaft, yet patients may express dissatisfaction as it may still differ from their recollection of their previously normal erections. A common complaint is reduced engorgement of the glans penis, which can manifest as subjective reduction in penile length or the feeling of a cold insensitive glans. Patient factors often ensure a sound justification for this complaint, namely vasculogenic erectile dysfunction (ED) or their corporo-glandular morphology despite a well-sized and well-positioned implant. Objective In this study, we sought to identify factors that may contribute to reduced glans engorgement and possible management strategies. Methods Intervention: Any method of treating or avoiding reduced glans engorgement post-IPP. Population: Men undergoing IPP insertion or men with glans complaints post-operatively Inclusion Criteria: Articles published in English with full text available and objective outcome measures Search Strategy: Literature search was performed in June 2023 using Medline, PubMed, Embase and Scopus. PubMed search included both “Mesh” protocols and “free text” to capture the correct study population and intervention utilized. Review Type &amp; Analysis: Although an initial systematic model was considered, a scoping model was ultimately selected due to the limited literature and inconsistent outcome measures. This approach aimed to identify gaps in knowledge and provide an overview of the existing literature, thus informing future studies in this area. The variability in outcome measures across studies prevented higher-powered analyses from being conducted. Results Initial search strategy retrieved 98 non-duplicate studies with 40 being selected for initial screening after applying inclusion criteria. Ultimately, a total of 7 articles were included and categorized by theme: Cavernous-sparing technique (1–3); Pharmacotherapy for post-IPP glans complaints (4–7) (Table 1 &amp; 2). The cavernous-sparing technique described aims to limit disruption of cavernous tissue around the implanted cylinder. This was achieved by omitting dilatation and using Furlow directly for measurements, or by intraoperative intracavernosal (IC) prostaglandin followed by dilatation only with size 7 or 8 Hegar alone. In all studies that compared penile dimensions, girth was significantly greater in the cavernous-sparing group. A higher proportion of men in this group also had detectable cavernous arteries, thicker residual corporal tissue, better residual tumescence post-IPP and demonstrated significant increases in both PSV and EDV post-PDE5i, compared to no PDE5i. Men who had standard dilatation also responded to post-IPP PDE5i but fewer had identifiable cavernous artery and had significant increase in only PSV, compared to no PDE5i. Other articles relating to post-IPP pharmacotherapy unanimously demonstrated that post-IPP glans engorgement was improved. This equated to reported statistically improved satisfaction when compared to the IPP alone groups, as measured by IIEF and EDITS questionnaires. Post-IPP PDE5i were better tolerated than intraurethral alprostadil, which was associated with discomfort. Conclusions Post-IPP pharmacotherapy appears to enhance residual erectile tissue engorgement. It can be used as an adjunctive after-care measure. Cavernous-sparing techniques show the importance of viable residual tissue for improved prosthetic erections. More comprehensive studies are needed to enhance patient experience and explore the microanatomical and hemodynamic role of residual tissue post-IPP. Disclosure No.

Incorporation of "Artificial Intelligence" for Objective Pain Assessment: A Comprehensive Review.

Pain is a significant health issue, and pain assessment is essential for proper diagnosis, follow-up, and effective management of pain. The conventional methods of pain assessment often suffer from subjectivity and variability. The main issue is to understand better how people experience pain. In recent years, artificial intelligence (AI) has been playing a growing role in improving clinical diagnosis and decision-making. The application of AI offers promising opportunities to improve the accuracy and efficiency of pain assessment. This review article provides an overview of the current state of AI in pain assessment and explores its potential for improving accuracy, efficiency, and personalized care. By examining the existing literature, research gaps, and future directions, this article aims to guide further advancements in the field of pain management. An online database search was conducted via multiple websites to identify the relevant articles. The inclusion criteria were English articles published between January 2014 and January 2024). Articles that were available as full text clinical trials, observational studies, review articles, systemic reviews, and meta-analyses were included in this review. The exclusion criteria were articles that were not in the English language, not available as free full text, those involving pediatric patients, case reports, and editorials. A total of (47) articles were included in this review. In conclusion, the application of AI in pain management could present promising solutions for pain assessment. AI can potentially increase the accuracy, precision, and efficiency of objective pain assessment.

Environmental and Demographic Effects on Vector Borne Disease Incidence: Welfare Role on DHF Reduction

Many regions in developing countries are transitioning to an industrial economic model, accompanied by rapid population growth, which from one side is a welfare driver (WLF) and on the other side is a demographic pressure, especially a health problem such as vector-borne disease. The problem climaxes when this transition is always accompanied by environmental degradation (ENV), which begins with deforestation. Objective: [1] Determine the direct influence of: [1a] Demographic on DHF incidence, [1b] Demographic on Welfare improvement, [1c] Welfare on DHF incidence, [1d] Environment improvement on DHF incidence, [1e] Environment improvement on performance Welfare; and [2] The indirect influence of Welfare in mediating [2a] Demographic pressure and [2b] Environment improvement on DHF incidence. Research Method: Lampung Province was used as the research locus. Forest Resources Inventory Laboratory of Lampung University as a place for analysis. Postulate SEM (Structural Equation Model) was employed at a 95% confidence level. The endogenous variable was vector-borne disease (reflected by DHF incidence). The two exogenous variables were DMG (reflected by population density and the proportion of age of productive, industrial, and service workers) and ENV (reflected by maximum &amp; minimum air temperature, forested areas, and other land uses). The mediating variable is WLF (reflected by poverty and HDI). Findings: [1] Directly, with a significant effect: [1a] DMG pressure increases DHF (P=0.000) and [1.b] WLF (P=0.000); [1.c] Environment improvement increases welfare (P=0.000) while [1d] reduces DHF; and [1.e] WLF improvement can reduce DHF (P=0.010) and [2] The role of WLF improvement [2a] can significantly reduce the incidence of DHF due to demographic pressure (P=0.007) while also [2b] amplifying environmental improvement in reducing DHF significantly (P=0.023). Novelty:To reduce DHF incidence, Welfare improvement can reverse the negative effects of Demographic pressure as well as act as an amplifier for the role of environmental improvement. Doi: 10.28991/HEF-2024-05-01-03 Full Text: PDF

The Influence Factors of Economic Development of Tourism Industry

Objectives: This paper aims to conduct research on the factors that impact the advancement of the tourism economy in order to adapt to the rapidly changing demands of the tourism market. Methods: A case study was performed using a gray correlation model to analyze the tourism industry in Henan Province. Findings: Among the first-level indicators, tourism economic support had the highest correlation with tourism economic development, followed by tourism physical base, tourism transportation influence, tourism human resources, and tourism information service. Then, relevant suggestions were given according to the analysis results. Novelty:The novelty of this article lies in utilizing the gray correlation model to examine the factors that influence the tourism economy and analyzing the gray system with incomplete information. Doi: 10.28991/HIJ-2024-05-01-03 Full Text: PDF

Estimate of Power Output from Hydraulic Jumps Generated Downstream from Barrages

Hydropower is an affordable, sustainable way to generate electricity. Research on hydraulic jumps focuses only on determining head loss across the jump, but there are no studies on generating power from the jump. This research aims to utilize energy dissipated from hydraulic jumps for power-generating purposes and further use this power in real-life applications. This research simulates ideal hydraulic conditions to identify the most stable hydraulic jumps, which will be used to generate power. The Seriakos barrage in Egypt was taken as a case study to simulate energy dissipated/power generated from hydraulic jumps generated downstream. This power is then used to simulate lighting up some streets in Egypt according to Egyptian power consumption standards. An Excel spreadsheet was used to mathematically model generated hydraulic jump types, energy dissipated, and generated power. The study found that submerged flow generates maximum power values from hydraulic jumps as opposed to free flow. The research concluded that energy produced by hydraulic jumps at the Seriakos barrage could light up 78 street light bulbs. Although this is a small amount of power, Egypt could meet a significant portion of its energy needs if hydraulic jumps from all its hydraulic structures were utilized for power generation. Doi: 10.28991/HEF-2024-05-01-06 Full Text: PDF

The Development and Evaluation of Homogenously Weighted Moving Average Control Chart based on an Autoregressive Process

This research aims to investigate a Homogenously Weighted Moving Average (HWMA) control chart for detecting minor and moderate shifts in the process mean. A mathematical model for the explicit formulae of the average run length (ARL) of the HWMA control chart based on the autoregressive (AR) process is presented. The efficacy of the HWMA control chart is evaluated based on the average run length, the standard deviation of run length (SDRL), and the median run length (MRL). As illustrations of the design and implementation of the HWMA control chart, numerical examples are provided. In numerous instances, a comparative analysis of the HWMA control chart relative to the Extended Exponentially Weighted Moving Average (Extended EWMA) and cumulative sum (CUSUM) control charts with mean process shifts is performed in detail. Additionally, the relative mean index (RMI), the average extra quadratic loss (AEQL), and the performance comparison index (PCI) are utilized to evaluate the performance of control charts. For various shift sizes, the HWMA control chart is superior to the Extended EWMA and CUSUM control charts. This study applies empirical data from the area of economics to validate the explicit formula of ARL values for the HWMA control chart. Doi: 10.28991/HIJ-2024-05-01-02 Full Text: PDF