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Narra X
Published by PT Narra Sains Indonesia
ISSN : -     EISSN : 29882990     DOI : DOI: https://doi.org/10.52225/narrax
Core Subject : Health, Science,
Biochemistry, Genetics & Molecular Biology Chemistry Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Physics Public Health
Narra X is a multidisciplinary journal, published three times in a year (April, August, and December). The journal aims to act as a platform for rapid scientific communication while upholding the highest integrity. Articles are published in a form of Original articles, Short Report, Case Reports, Methods articles, Review articles, and Letters to the Editor. All submitted articles are subjected to peer-review prior to their publication. As a multidisciplinary journal, Narra X welcomes articles from any subject field, depending on the editorial capacity. At the moment, Narra X is handled by section editors in the following fields: Health and medicine Chemistry Biology Mathematics Physics Narra X is online only journal and all articles do not have page numbers; instead, they are given a unique article number.
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Articles 90 Documents
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Revitalizing the state of primary healthcare towards achieving universal health coverage in conflict affected fragile northeastern Nigeria: Challenges, strategies and way forward Musa, Shuaibu S.; Ibrahim, Adamu M.; Ogbodum, Molly U.; Haruna, Usman A.; Gololo, Ahmed A.; Abdulkadir, Abdulafeez K.; Ukaegbu, Enyinnaya; Agyapong, Joseph; Shallangwa, Muktar M.; Adamu, Nuruddeen A.; Muhammad, Bello A.; Lucero-Prisno III, Don E.
Narra X Vol. 2 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v2i3.178

Abstract

The Alma-Ata Declaration of 1978 defined primary healthcare as a critical way to obtain universal healthcare and 'health for all.' In Nigeria, the National Health Policy (NHP) and the subsequent formation of the Primary Health Care System aim to modernize healthcare delivery, at the grassroots level. In recent decades, however, the status of primary healthcare in Nigeria, particularly in the northeastern region, has significantly deteriorated, further posing significant threats to health equity and universal access to healthcare. Armed conflicts, humanitarian crises, insufficient finance, inadequate infrastructure, and labor shortages have negatively impacted the region's primary healthcare facilities. This article discusses the poor state of primary healthcare in northeastern Nigeria and its implications for achieving universal health coverage in the region. In addition, the article elaborates on the historical context, highlights the difficulties and challenges in the development of primary healthcare, and explores potential solutions to improve the system.
Enhancing primary healthcare delivery in Nigeria through the adoption of advanced technologies Umar, Abbas B.; Sani, Saifuddeen K.; Aliyu, Lukman J.; Hassan, Musa; Imam, Maryam; Haruna, Usman A.; Ibrahim, Adamu M.; Lucero-Prisno III, Don E.
Narra X Vol. 2 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v2i3.180

Abstract

Enhancing primary healthcare delivery in Nigeria by adopting advanced technologies holds substantial promise for improving healthcare accessibility, quality, and efficiency. Primary healthcare focuses on community-based, essential care that is practical, socially acceptable, and affordable. Despite efforts to improve healthcare delivery, challenges persist, particularly in rural and underserved areas. The aim of this study was to explore the transformative potential of technologies such as telemedicine, electronic health records (EHRs), health information systems (HIS), artificial intelligence (AI), and medical drones in addressing these challenges. Telemedicine facilitates access to healthcare in remote areas by overcoming geographical barriers. EHRs streamline administrative and clinical processes, enhancing patient care and safety. HIS improves data management, patient safety, and provider communication. AI revolutionizes diagnostics, treatment personalization, and operational efficiency. Medical drones offer innovative solutions for delivering medical supplies to remote locations. The paper also addresses the challenges associated with these technologies, including infrastructure limitations, regulatory issues, and data privacy concerns. Recommendations include investing in infrastructure, developing regulatory frameworks, building capacity, fostering public-private partnerships, engaging communities, and implementing robust data security measures. By addressing these recommendations, Nigeria can leverage advanced technologies to enhance healthcare delivery and achieve better health outcomes.
Global prevalence of natural disaster-induced acute respiratory infections: A systematic review and meta-analysis of 290,380 participants Daffa, Muhammad B.; Khansa, Firyal; Ghifari, Muhammad H.; Zaskia, Siti R.; Jung, Yoonju
Narra X Vol. 2 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v2i3.181

Abstract

Acute respiratory infections (ARI) can be caused by the occurrence of natural disasters such as earthquakes, volcanic eruptions, landslides, tsunamis, floods, and droughts. The aim of this study was to determine the global prevalence of acute respiratory infections during post-natural disasters across countries. A systematic review and meta-analysis were conducted in accordance with the PRISMA guidelines. Studies reporting acute respiratory infections prevalence in natural disaster-impacted areas were identified and screened from PubMed, Scopus, Crosreff, Scilit, and medRxiv as of March 16th, 2024. The meta-analysis was conducted using the Freeman-Tukey double arcsine transformation with a random-effects model. A total of 15 out of 2,052 studies, covering 290,380 subjects, were included in the meta-analysis. The pooled estimate of acute respiratory infection prevalence following natural disasters across multiple countries was 43.0% (95% confidence interval (CI): 31–55%; p-Het<0.01; I²=99.97%). No statistical significance was observed between subgroups, including population density (p=0.281), country income (p=0.583), and types of disasters (p=0.468), suggesting the indiscriminate nature of disaster-induced acute respiratory infections. The highest prevalence was observed in studies from 2015–2019, with a prevalence of 52% (95%CI: 32.7–72.2%; p-Het<0.001; I²=99.97%). In conclusion, the global prevalence of disaster-induced ARI is considered high, reaching 43%, highlighting the need for countermeasures to address these diseases during disasters.
Prognostication of differentiated thyroid cancer recurrence: An explainable machine learning approach Idroes, Ghazi M.; Noviandy, Teuku R.; Idroes , Ghalieb M.; Hardi, Irsan; Duta, Teuku F.; Hamoud, Lama MA.; Al-Gunaid , Hala T.
Narra X Vol. 2 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v2i3.183

Abstract

Differentiated thyroid cancer (DTC) generally has a favorable prognosis, but recurrence remains a concern for a subset of patients, highlighting the need for accurate predictive tools. While traditional methods, such as the American Thyroid Association (ATA) guidelines, are widely used, they may not fully capture the complex patterns in clinical data. To address this, we developed a machine learning model using LightGBM and enhanced its interpretability with SHAP (SHapley Additive exPlanations). Our model, trained on data from 383 DTC patients, identified response to initial therapy as the most significant predictor of recurrence, alongside age and risk level. The model achieved an accuracy of 93.51%, with precision and sensitivity of 94.23% and 96.08%, respectively, using only five key features selected through Recursive Feature Elimination (RFE). SHAP analysis provided clear insights into how these features influenced predictions, offering a transparent and interpretable approach to risk stratification. These results highlight the potential of explainable machine learning to improve recurrence prediction, support personalized care, and build clinician trust, while laying the groundwork for further validation in diverse populations.
Coping strategies used by healthcare professionals during COVID-19 pandemic in Dubai: A descriptive cross-sectional study Hamdan, Ahmad; Eastaugh, Jennifer; Snygg, Johan; Naidu, Jennifer; Alhaj, Ibtisam
Narra X Vol. 1 No. 1 (2023): April 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i1.71

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has affected physical, social, and psychological well-being of all people, especially healthcare professionals (HCP), who are vulnerable to work-related stress. The aim of this study was to explore the effectiveness of coping strategies practiced by HCPs during the COVID-19 pandemic. A cross-sectional study was conducted in Mediclinic Welcare Hospital in Dubai during the pandemic between March 2020 and April 2021. The questionnaire was used to collect demographic data and validated Brief Coping Orientation to Problems Experienced (Brief-COPE) scales instrument was used to measure the coping strategies. A total 112 respondents were included in the final analysis consisting of physicians (11.6 %), nurses (60.7%), other clinical HCPs (24.1%), and non-clinical staff (7.2%). The common and effective coping strategies used by HCPs were within the problem-focused category. The female HCPs used multiple coping strategies to help them to manage their stress during COVID-19 pandemic. The nurses were more likely to report using emotional support as a coping strategy than doctors or other hospital staff members. Among 48.21% of the respondents that venting helped them release their feelings and distracted themselves through watching movies or television, reading, sleeping, or shopping. Moreover, 42.86% respondents found comfort in practicing religion and spiritual beliefs. Interestingly, the use of alcohol or other drugs was used as a coping mechanism during the pandemic, whereas emotional support and actions as well as taking other advice, were common strategies. Based on these data, healthcare institutions should consider a variety of support measures and programs for the mitigation of stress and negative emotional responses among HCPs during any future outbreaks or pandemics, such as providing access to mental health services, regular check-ins with colleagues or supervisors, peer support groups, educational resources on coping strategies, and paid time off for rest and recovery. Counseling and executive support services also could help staff to manage the mental health during future disasters.
Exergame for post-stroke rehabilitation among elderly patients: A systematic review and meta-analysis Duta, Teuku F.; Tsurayya, Ghina; Naufal, Muhammad A.
Narra X Vol. 1 No. 1 (2023): April 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i1.73

Abstract

Advancement in gaming technology, including exergame, is thought to offer a promising innovation in rehabilitative treatment owing to its interactive and joyful natures. Elderly, in addition to being prevalent in stroke, they have different perspectives and adaptability toward the utilization of exergame in post-stroke rehabilitation. The aim of this study was to evaluate the effectiveness of exergame-based rehabilitation in ameliorating stroke-associated cognitive impairment among elderly patients. This systematic review followed the Preferred Reporting Item for Systematic Review and Meta-Analysis (PRISMA) guideline. The literatures were retrieved from the searches on PubMed, Scopus, and Embase databases using a combination of ‘exergame’, ‘stroke’, and ‘elderly’ along with their respective synonyms. Included studies were controlled observational studies and randomized clinical trials with subjects’ mean age >60 years old, measuring global cognitive and/or five cognitive domains (attention, language, executive function, memory, and visuospatial ability). Quality appraisals were performed based on the Cochrane ‘risk-of-bias tool’ and Physiotherapy Evidence Database Scale. Studies with high and good qualities were included in the meta-analyses. Six randomized controlled trials involving 179 patients were included in meta-analysis. Studies had variations in terms of type (combination of exergame-based and conventional rehabilitation or exergame-based only) and duration of interventions (30–110 min), length of observation (2–6 weeks), and tools used to examine cognitive outcomes. As compared with conventional rehabilitation, exergame-based rehabilitation was significantly more effective to improve global cognitive based on Montreal Cognitive Assessment Score in acute stroke patients (n=4; mean difference (MD) 3.66; 95% confidence interval (95%CI): 2.08, 5.24; p<0.00001), but significantly less effective in chronic stroke patients (n=2; MD -1.54; 95%CI: -2.28, -0.81; p<0.0001). In conclusion, global cognitive of elderly patients with acute strokes could be improved through exergame-based rehabilitation which is more effective as compared with conventional therapy.
Achromobacter xylosoxidans as emerging pathogen in healthcare settings: A mini review Farfán-Cano, Galo; Silva-Rojas, Glen A.
Narra X Vol. 1 No. 1 (2023): April 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i1.74

Abstract

Microorganisms of the genus Achromobacter have been mentioned as a cause of opportunistic infections, mainly in patients with cystic fibrosis or pulmonary lymphoma, with the species Achromobacter xylosoxidans being identified to a large extent. A. xylosoxidans was first described in 1971 and is an opportunistic pathogen. However, it been reported to cause chronic purulent otitis, meningitis, pneumonia, peritonitis and urinary tract infections, chronic obstructive pulmonary disease and other infections. The present literature review aims to analyze and synthesize the state of the art on A. xylosoxidans and its potential as an emerging pathogen in the healthcare settings. We discuss A. xylosoxidans as an emerging opportunistic pathogen that is associated with healthcare infections. This review further discusses the prevalence of A. xylosoxidans in healthcare settings, the types of infections it can cause, and the risk factors for acquiring an A. xylosoxidans infection. The review also covers the challenges in treating A. xylosoxidans infections, including its potential for drug resistance and the lack of specific treatments. Strategies for preventing and controlling A. xylosoxidans infections in healthcare settings were also discussed.
Association between admission blood sugar levels and length of stay among patients with acute heart failure: A cross-sectional study in Aceh, Indonesia Gusti, Naufal; Heriansyah, Teuku; Saputra, Irwan
Narra X Vol. 1 No. 2 (2023): August 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i2.75

Abstract

Heart failure persists to be a major health problem worldwide. Numerous factors associated with this condition have been studied to determine its prognosis. History of diabetes mellitus is one of the factors extensively studied, nonetheless, the correlation between acutely elevated admission blood glucose in critically ill patients or stress hyperglycemia towards the prognosis of heart failure remains inconclusive among previously reported studies. Therefore, the aim of this study was to investigate the correlation between admission blood glucose and the length of stay of acute heart failure patients. A cross-sectional study was conducted in Dr. Zainoel Abidin Hospital, Banda Aceh, Indonesia from July to August 2020. Patients’ data were retrieved from medical records documenting admission blood glucose and length of stay. Total sampling was employed, where eighty-five patients diagnosed as acute heart failure were included. The results showed that patients (n=85) had the general characteristics of being normoglycemic on admission (69.4%) and having 5–10 days length of stay (44.7%) with Killip 2 as the presiding Killip Class (50.6%). According to Gamma’s Correlation Coefficient, the p-value of this study is 0.012 (p< 0.05) with a correlation value of 0.454. Therefore, our study revealed the presence of a significant moderate-correlation between admission blood glucose and the length of stay among patients with acute heart failure.
Antibacterial activity of Chrysophyllum albidium seed oil extract on pathogenic Staphylococcus aureus Onuigbo , Martin C.; Ukegbu, Chimere Y.; Uzoigwe, Kelechukwu C.
Narra X Vol. 1 No. 1 (2023): April 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i1.77

Abstract

Antimicrobial resistance in Staphylococcus aureus has continued to rise and has become a general medical problem. Thus, the objective of this study was to use the Chrysophyllum albidum seed extract as an antibiotic against pathogenic Staphylococcus aureus. The antimicrobial impact of Chrysophyllum albidum seed oil on pathogenic Staphylococcus aureus from various sources were explored utilizing agar well dissemination strategy. The oil was separated utilizing the Soxhlet extraction strategy with n-hexane as the solvent. The oil extract was then prepared in various concentrations (62.5–500 mg/mL) and tested against three different pathogenic isolates of Staphylococcus aureus. At the highest concentration (500 mg/mL), the oil extract yielded 22–24.6 mm inhibition zones. Meanwhile, at the lowest concentration (62.5 mg/mL), the inhibition zones achieved were 14.6–16 mm. The minimum inhibitory concentration was 125 mg/mL, while the mean minimum bactericidal concentration was 250 mg/mL. In conclusion, our data suggested that the oil from seeds of Chrysophyllum albidum has antibacterial activities against Staphylococcus aureus and this needs to be further studied.
Chemometric-empowered spectroscopic techniques in pharmaceutical fields: A bibliometric analysis and updated review Zulkifli, Baidillah; Fakri, Fajar; Odigie, Joan; Nnabuife, Loveday; Isitua, Chinwe C.; Chiari, Williams
Narra X Vol. 1 No. 1 (2023): April 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i1.80

Abstract

Undeniable increase in pharmaceutical demand has encouraged researchers to develop analytical techniques to analyze drugs and monitor their effects. Chemometrics enabled simple spectroscopic approaches (such as infrared or UV spectroscopy) to analyze complex samples, including drug formulations, excreted fluids and tissues of living organisms. The aim of this study was to evaluate the research trend of this combinatorial technique utilized for pharmaceutical-related sample analysis using a bibliometric analysis. Bibliometric data of published literature from the Scopus database on March 14, 2023 were retrieved using the keyword combinations of "multivariate", "chemometrics", "pattern recognition", "drug", "pharmaceutical" and "spectroscopy". Network visualization analysis was performed using VOSviewer on the co-occurring keywords and authorships, presenting data such as top cited papers (n=10). The literature review was performed based on the research trend revealed by the clusters that emerged in the network visualization. The analysis revealed that the first paper was published in 1973 (n=1) and a total of 3544 records have been published as of March 14, 2023, comprising original research articles (n=3144, 88.71%) and review articles (n=232, 6.55%). The keyword “chemometrics” with Total Link Strength (TLS) of 826 emerged as the most abundant, followed by “metabolomics” (TLS=388), “Raman spectroscopy” (TLS=280), “metabonomics” (TLS=272), “nuclear magnetic resonance” or “NMR” (TLS=271), and “multivariate analysis” (TLS=254). Network visualization revealed that the research falls into two general categories: (1) drug toxicity and efficacy monitoring and (2) quality control of drug manufacturing. The top cited paper (n=3269) was a review article published in 1999 describing the utility of nuclear magnetic resonance combined with multivariate statistics for metabolite profiling of biological samples. The chemometric-empowered spectroscopy techniques were expected to provide objective measurement during clinical studies and monitoring of therapeutic effects.

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