Introduction: Due to the increasing rate of drug prices and overall healthcare inflation, stakeholders from the pharmaceutical industry and non-governmental organisations (NGOs) are voicing their concerns about the possible reciprocal effects in the long run. Drug price controls (DPCs) regulation is crucial to ensure affordability and indirectly reduce congestion in public healthcare facilities. This study aims to identify the SWOT analysis of the DPCs in Malaysia and how it will impact the drug supply chain. Methods: The study adopted a subjective environmental scanning method and a SWOT analysis tool to examine the Malaysian pharmaceutical DPCs in the healthcare supply chain (HSC) ecosystem through both intrinsic and extrinsic perspectives. Results: The immediate effect of DPCs would be beneficial, especially to the patients and the government. Balancing the right amount of control and liberalization of the market is seen to be the biggest factor contributing to the policy’s effect on the drug supply chain. The main concern would be the long-term effect as mixed results are coming from a group of countries that had implemented a similar policy. Conclusion: Notwithstanding the qualitative methodology of the paper, the findings could provide a better understanding of the price of drugs in Malaysia’s HSC and serve as a foundation for future studies. This paper proposes a new way to diversify the DPCs economy by entering the HSC chain industry.
{"title":"Can Drug Price Controls Help Patients Get a Better Deal? A SWOT Analysis","authors":"Siti Norida Wahab, Muhammad Yazid Sahak","doi":"10.47836/mjmhs.19.6.30","DOIUrl":"https://doi.org/10.47836/mjmhs.19.6.30","url":null,"abstract":"Introduction: Due to the increasing rate of drug prices and overall healthcare inflation, stakeholders from the pharmaceutical industry and non-governmental organisations (NGOs) are voicing their concerns about the possible reciprocal effects in the long run. Drug price controls (DPCs) regulation is crucial to ensure affordability and indirectly reduce congestion in public healthcare facilities. This study aims to identify the SWOT analysis of the DPCs in Malaysia and how it will impact the drug supply chain. Methods: The study adopted a subjective environmental scanning method and a SWOT analysis tool to examine the Malaysian pharmaceutical DPCs in the healthcare supply chain (HSC) ecosystem through both intrinsic and extrinsic perspectives. Results: The immediate effect of DPCs would be beneficial, especially to the patients and the government. Balancing the right amount of control and liberalization of the market is seen to be the biggest factor contributing to the policy’s effect on the drug supply chain. The main concern would be the long-term effect as mixed results are coming from a group of countries that had implemented a similar policy. Conclusion: Notwithstanding the qualitative methodology of the paper, the findings could provide a better understanding of the price of drugs in Malaysia’s HSC and serve as a foundation for future studies. This paper proposes a new way to diversify the DPCs economy by entering the HSC chain industry.","PeriodicalId":506570,"journal":{"name":"November 2023","volume":"55 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139278340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: Excessive sugar consumption is a major global health concerns as it plays a significant role in the development of non-communicable diseases. Sugar-sweetened beverages (SSB) are a major source of added sugar in daily life that can lead to many health concerns. Understanding of the knowledge, attitudes, and practices (KAP) related to SSB intake is a key component of healthy beverage intake. Therefore, this study aimed to determine the prevalence of SSBs intake and the level of knowledge, attitude, and practice (KAP) of university students during the recovery phase of COVID-19 in 2022. Methods: This cross-sectional study involved 176 young adults aged 18-26 years old who completed a self-administered questionnaire. The questionnaire consisted of demographic and KAP data related to SSBs. Descriptive statistics were outlined, and a chi-square test was conducted to compare categorical variables. Results: Based on the frequency of beverage intake, sugar-sweetened coffee, or tea (39.8%) was the most frequently consumed SSB daily (at least once daily) while regular soft drink (52.3%) was the most consumed SSB among the participants on a weekly basis (≤6 times per week). Overall, the majority of university students had a positive attitude towards SSB intake (90.6%) but poor knowledge (51.7%) and poor practice (80.7%) levels. Gender and weight status were significantly related to the attitude and knowledge scores (p< 0.05). Conclusion: The prevalence of SSB intake among young adults should be addressed. Comprehensive education and intervention are vital to improving the knowledge and practice about proper SSB intake as part of healthy eating lifestyles.
{"title":"Knowledge, Attitude, and Practice of Sugar-Sweetened Beverage (SSB) Among University Students in Klang Valley, Malaysia","authors":"K. Cheah, Pey Lyn Chua","doi":"10.47836/mjmhs.19.6.25","DOIUrl":"https://doi.org/10.47836/mjmhs.19.6.25","url":null,"abstract":"Introduction: Excessive sugar consumption is a major global health concerns as it plays a significant role in the development of non-communicable diseases. Sugar-sweetened beverages (SSB) are a major source of added sugar in daily life that can lead to many health concerns. Understanding of the knowledge, attitudes, and practices (KAP) related to SSB intake is a key component of healthy beverage intake. Therefore, this study aimed to determine the prevalence of SSBs intake and the level of knowledge, attitude, and practice (KAP) of university students during the recovery phase of COVID-19 in 2022. Methods: This cross-sectional study involved 176 young adults aged 18-26 years old who completed a self-administered questionnaire. The questionnaire consisted of demographic and KAP data related to SSBs. Descriptive statistics were outlined, and a chi-square test was conducted to compare categorical variables. Results: Based on the frequency of beverage intake, sugar-sweetened coffee, or tea (39.8%) was the most frequently consumed SSB daily (at least once daily) while regular soft drink (52.3%) was the most consumed SSB among the participants on a weekly basis (≤6 times per week). Overall, the majority of university students had a positive attitude towards SSB intake (90.6%) but poor knowledge (51.7%) and poor practice (80.7%) levels. Gender and weight status were significantly related to the attitude and knowledge scores (p< 0.05). Conclusion: The prevalence of SSB intake among young adults should be addressed. Comprehensive education and intervention are vital to improving the knowledge and practice about proper SSB intake as part of healthy eating lifestyles.","PeriodicalId":506570,"journal":{"name":"November 2023","volume":"51 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139278420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohamad Zulhafiz Shafiq Zulhilmi Cheng, N. Zawawi, D. Ooi, Kim Wei Chan, N. Ismail, Nur Akmal Ishak, N. Mohd. Esa
Introduction: The increase of Type 2 diabetes mellitus has prompted numerous research toward finding an alternative to manage the disease through the oxidant-antioxidant balance, mainly through bioactive compounds in natural products. This study explored the antioxidant and antidiabetic properties of phenolic-rich extract (PRE) from Stingless bee honey (SBH) (Heterotrigona itama) as therapeutic agent to restore the redox balance. Methods: The total phenolic content (TPC), total flavonoid content (TFC) and antioxidant assays of PRE and SBH, were determined to provide preliminary insight into the sample’s antioxidant properties, followed by high-performance liquid chromatography analysis of PRE. The antidiabetic potential of PRE and SBH were determined based on their inhibition against α-amylase and α-glucosidase enzymes. The cytotoxicity analysis of PRE was conducted on 3T3-L1 adipocytes and L6 muscle cells before the glucose uptake and cellular antioxidant analyses were performed on both cell lines, respectively. Results: PRE yielded higher TPC, TFC and antioxidant activities than SBH. The phytochemical profile of PRE comprises gallic acid, myricetin, kaempferol, epicatechin, chlorogenic acid, quercetin, syringic acid, and cinnamic acid. The results from carbohydrate enzymatic inhibitory assays collectively suggested that PRE exhibited more robust antidiabetic activities than SBH. PRE showed good glucose uptake stimulating and reactive oxygen species scavenging effects in those cell lines. Conclusion: Overall, PRE from SBH showed higher carbohydrate enzymatic inhibition, glucose uptake, and protection against intracellular oxidative stress, primarily due to its high antioxidant content and may serve as an alternative therapeutic agent for managing T2DM.
{"title":"In Vitro Investigation of Antioxidant and Antidiabetic Properties of Phenolic-Rich Extract from Stingless Bee Honey (Heterotrigona itama)","authors":"Mohamad Zulhafiz Shafiq Zulhilmi Cheng, N. Zawawi, D. Ooi, Kim Wei Chan, N. Ismail, Nur Akmal Ishak, N. Mohd. Esa","doi":"10.47836/mjmhs.19.6.19","DOIUrl":"https://doi.org/10.47836/mjmhs.19.6.19","url":null,"abstract":"Introduction: The increase of Type 2 diabetes mellitus has prompted numerous research toward finding an alternative to manage the disease through the oxidant-antioxidant balance, mainly through bioactive compounds in natural products. This study explored the antioxidant and antidiabetic properties of phenolic-rich extract (PRE) from Stingless bee honey (SBH) (Heterotrigona itama) as therapeutic agent to restore the redox balance. Methods: The total phenolic content (TPC), total flavonoid content (TFC) and antioxidant assays of PRE and SBH, were determined to provide preliminary insight into the sample’s antioxidant properties, followed by high-performance liquid chromatography analysis of PRE. The antidiabetic potential of PRE and SBH were determined based on their inhibition against α-amylase and α-glucosidase enzymes. The cytotoxicity analysis of PRE was conducted on 3T3-L1 adipocytes and L6 muscle cells before the glucose uptake and cellular antioxidant analyses were performed on both cell lines, respectively. Results: PRE yielded higher TPC, TFC and antioxidant activities than SBH. The phytochemical profile of PRE comprises gallic acid, myricetin, kaempferol, epicatechin, chlorogenic acid, quercetin, syringic acid, and cinnamic acid. The results from carbohydrate enzymatic inhibitory assays collectively suggested that PRE exhibited more robust antidiabetic activities than SBH. PRE showed good glucose uptake stimulating and reactive oxygen species scavenging effects in those cell lines. Conclusion: Overall, PRE from SBH showed higher carbohydrate enzymatic inhibition, glucose uptake, and protection against intracellular oxidative stress, primarily due to its high antioxidant content and may serve as an alternative therapeutic agent for managing T2DM.","PeriodicalId":506570,"journal":{"name":"November 2023","volume":"50 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139278484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. N. Fithriyyah, S. Alim, Sri Warsini, Dr. Sri Setiyarini, Ariani A.P Pertiwi
Introduction: Nurses play critical roles in disaster management and are required to demonstrate leadership by dealing with disaster events effectively. This study aimed to identify the nurse leadership indicators at each phase of disaster management. Methods: A qualitative descriptive study was conducted in two phases between November 2017 -January 2018 at two regional hospitals and one central hospital in Yogyakarta. The first phase involved semi-structured in-depth interviews with seven emergency nurses, and the second was a focus group discussions with five nurses’ managers or lecturers. Participants were selected using a purposive sampling technique. Data Analyze used a modified version framework method. Results: We found 49 indicators of nurse leadership in disaster management. We grouped indicators into two major groups: common indicators (27 indicators) and specific indicators (22 indicators). Four themes were obtained according to the disaster management phases: nurse leadership in the mitigation phase, the preparedness phase, the response phase, and the recovery/rehabilitation phase. Each theme contains three main sub-themes (3Cs): character, competence, and the central role of the leader. Conclusion: Using the International Council of Nurses (ICN) framework’s disaster phase as a conceptual basis, 49 nurse leadership indicators were identified as potential information for future items candidates of the instrument for measuring nurse leadership in disaster management.
{"title":"Indicators of Nurse Leadership in Disaster Management: A Qualitative study","authors":"Y. N. Fithriyyah, S. Alim, Sri Warsini, Dr. Sri Setiyarini, Ariani A.P Pertiwi","doi":"10.47836/mjmhs.19.6.9","DOIUrl":"https://doi.org/10.47836/mjmhs.19.6.9","url":null,"abstract":"Introduction: Nurses play critical roles in disaster management and are required to demonstrate leadership by dealing with disaster events effectively. This study aimed to identify the nurse leadership indicators at each phase of disaster management. Methods: A qualitative descriptive study was conducted in two phases between November 2017 -January 2018 at two regional hospitals and one central hospital in Yogyakarta. The first phase involved semi-structured in-depth interviews with seven emergency nurses, and the second was a focus group discussions with five nurses’ managers or lecturers. Participants were selected using a purposive sampling technique. Data Analyze used a modified version framework method. Results: We found 49 indicators of nurse leadership in disaster management. We grouped indicators into two major groups: common indicators (27 indicators) and specific indicators (22 indicators). Four themes were obtained according to the disaster management phases: nurse leadership in the mitigation phase, the preparedness phase, the response phase, and the recovery/rehabilitation phase. Each theme contains three main sub-themes (3Cs): character, competence, and the central role of the leader. Conclusion: Using the International Council of Nurses (ICN) framework’s disaster phase as a conceptual basis, 49 nurse leadership indicators were identified as potential information for future items candidates of the instrument for measuring nurse leadership in disaster management.","PeriodicalId":506570,"journal":{"name":"November 2023","volume":"22 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139278748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Najib, Y. Ayipo, Waleed Abdullah Ahmad Alananzeh, Mustapha Muhammed, M. Mordi
Introduction: The human tau protein is a key protein involved in various neurodegenerative disease (NDs) including Parkinson’s disease (PD). The protein has high tendency to aggregate into oligomers, subsequently generating insoluble mass in the brain. Symptoms of PD include tremor, bradykinesia, rigidity, and postural instability. Currently drugs for PD treatment are only symptom-targeted while effective therapeutic treatment remains a challenge. The objective of this study is to identify novel promising anti-PD drugs using computational techniques. Method: ligand-based (LB) receptor modelling was conducted using LigandScout, validated and subjected to Glide XP docking, virtual screening, ADMET, and molecular dynamics predictions. Results: The adopted LB modelling generated pharmacophoric features of 5 hydrogen bond donors, 1 aromatic rings, and 7 hydrogen bond acceptors. The validation result indicated GH score of 0.73 and EF of 36.30 as validation protocols, probing it to be an ideal model. Using 3D query of the modelling a total of 192 compounds were retrieved from interbioscreen database containing 70,436 natural compounds. Interestingly, ligands 1, 2, 3, 4 and 5 orderly indicated higher binding affinities to the receptor with Glide XP docking of -7.451, -7.368, -7.101, -6.878, and -6.789 compared to a clinical drug Anle138b with -4.552 kcal/mol respectively. Furthermore, molecular dynamics and pkCSM pharmacokinetics demonstrated ligands 1, 2, & 4 having better stability and low toxicity profiles compared to the reference. Conclusion: In summary, the study pave way for discovery of small molecules that could be recommended as adjuvant /single candidate as ant-PD candidates upon further translational study.
{"title":"The Discovery of Putative Small Molecules via Ligand-based Pharmacophore Modelling Targeting Human Tau Protein for an Effective Treatment of Parkinson’s Disease","authors":"Y. Najib, Y. Ayipo, Waleed Abdullah Ahmad Alananzeh, Mustapha Muhammed, M. Mordi","doi":"10.47836/mjmhs.19.6.12","DOIUrl":"https://doi.org/10.47836/mjmhs.19.6.12","url":null,"abstract":"Introduction: The human tau protein is a key protein involved in various neurodegenerative disease (NDs) including Parkinson’s disease (PD). The protein has high tendency to aggregate into oligomers, subsequently generating insoluble mass in the brain. Symptoms of PD include tremor, bradykinesia, rigidity, and postural instability. Currently drugs for PD treatment are only symptom-targeted while effective therapeutic treatment remains a challenge. The objective of this study is to identify novel promising anti-PD drugs using computational techniques. Method: ligand-based (LB) receptor modelling was conducted using LigandScout, validated and subjected to Glide XP docking, virtual screening, ADMET, and molecular dynamics predictions. Results: The adopted LB modelling generated pharmacophoric features of 5 hydrogen bond donors, 1 aromatic rings, and 7 hydrogen bond acceptors. The validation result indicated GH score of 0.73 and EF of 36.30 as validation protocols, probing it to be an ideal model. Using 3D query of the modelling a total of 192 compounds were retrieved from interbioscreen database containing 70,436 natural compounds. Interestingly, ligands 1, 2, 3, 4 and 5 orderly indicated higher binding affinities to the receptor with Glide XP docking of -7.451, -7.368, -7.101, -6.878, and -6.789 compared to a clinical drug Anle138b with -4.552 kcal/mol respectively. Furthermore, molecular dynamics and pkCSM pharmacokinetics demonstrated ligands 1, 2, & 4 having better stability and low toxicity profiles compared to the reference. Conclusion: In summary, the study pave way for discovery of small molecules that could be recommended as adjuvant /single candidate as ant-PD candidates upon further translational study.","PeriodicalId":506570,"journal":{"name":"November 2023","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139278946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nor Amirah Mohammad Nazri, W. N. Wan Azman, Norsyuhadah Musa, Tuan Salwani Tuan Ismail, Azian Harun, Najib Majdi bin Yaacob, S. Sulong, Sirajudeen K.N.S., Mahaya Che Mat, Hani Ajrina Zulkeflee, Siti Sarah Mustapa
Introduction: C-reactive protein (CRP), urea, albumin, CRP/albumin ratio (CAR) and urea/albumin ratio (UAR) could be valuable biomarkers for determining the severity of illness in patients with COVID-19. This study aimed to determine the association between these markers and disease severity in COVID-19 patients on admission and days five to seven after admission. Methods: This retrospective study includes 153 adult COVID-19 patients admitted to Hospital Raja Perempuan Zainab II and Hospital Ampang from January 2021 to December 2021. Patients’ serum CRP, urea, albumin and creatinine levels were recorded on admission and on days five to seven after admission. The patients were categorised based on the Annex 2e guidelines published by the Ministry of Health, Malaysia and further classified as mild to moderate disease (stages 1-3) and severe to critical illness (stages 4-5). Results: On admission, urea, creatinine, CRP, UAR and CAR were significantly higher in the severe to critical group (p<0.001). The optimal cut-off value for the UAR was 0.16; the area under the curve (AUC) was 0.760, and sensitivity and specificity were 63.6% and 85.7%, respectively. The AUC of the CAR was 0.752, with 54.2% sensitivity and 91.4% specificity at an optimal cut-off value of 1.63. In severe to critical COVID-19 patients, albumin levels decreased significantly on days five to seven after admission, while urea levels remained significantly higher in this group (p<0.001, p<0.05, respectively). Conclusion: CRP, urea, albumin, CAR and UAR are promising biomarkers for predicting the severity of disease in COVID-19 patients.
{"title":"C-reactive Protein, Albumin, Urea, CRP/Albumin Ratio, and Urea/Albumin Ratio: A Retrospective Evaluation in COVID-19 Patients","authors":"Nor Amirah Mohammad Nazri, W. N. Wan Azman, Norsyuhadah Musa, Tuan Salwani Tuan Ismail, Azian Harun, Najib Majdi bin Yaacob, S. Sulong, Sirajudeen K.N.S., Mahaya Che Mat, Hani Ajrina Zulkeflee, Siti Sarah Mustapa","doi":"10.47836/mjmhs.19.6.22","DOIUrl":"https://doi.org/10.47836/mjmhs.19.6.22","url":null,"abstract":"Introduction: C-reactive protein (CRP), urea, albumin, CRP/albumin ratio (CAR) and urea/albumin ratio (UAR) could be valuable biomarkers for determining the severity of illness in patients with COVID-19. This study aimed to determine the association between these markers and disease severity in COVID-19 patients on admission and days five to seven after admission. Methods: This retrospective study includes 153 adult COVID-19 patients admitted to Hospital Raja Perempuan Zainab II and Hospital Ampang from January 2021 to December 2021. Patients’ serum CRP, urea, albumin and creatinine levels were recorded on admission and on days five to seven after admission. The patients were categorised based on the Annex 2e guidelines published by the Ministry of Health, Malaysia and further classified as mild to moderate disease (stages 1-3) and severe to critical illness (stages 4-5). Results: On admission, urea, creatinine, CRP, UAR and CAR were significantly higher in the severe to critical group (p<0.001). The optimal cut-off value for the UAR was 0.16; the area under the curve (AUC) was 0.760, and sensitivity and specificity were 63.6% and 85.7%, respectively. The AUC of the CAR was 0.752, with 54.2% sensitivity and 91.4% specificity at an optimal cut-off value of 1.63. In severe to critical COVID-19 patients, albumin levels decreased significantly on days five to seven after admission, while urea levels remained significantly higher in this group (p<0.001, p<0.05, respectively). Conclusion: CRP, urea, albumin, CAR and UAR are promising biomarkers for predicting the severity of disease in COVID-19 patients.","PeriodicalId":506570,"journal":{"name":"November 2023","volume":"123 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139319745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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