Background: Appropriate level of healthcare utilization is one of the aims in translating health system inputs into improving the outcome of population health. Healthcare utilization services in Malaysia remains relatively low as compared to the rate in most high-income countries and some gaps exist across socioeconomic status. After the financial handouts deemed Household Living Aid (HLA) to low-income earners, Malaysia has recently implemented a financial health protection scheme toward for low-income group known as PeKa B40 to improve their access for healthcare services. This study aims to determine the healthcare utilization among the low-income population living in urban Klang Valley, and to explore the relationship between healthcare utilization with the demographic characteristics of this population.
Material And Methods: A cross-sectional study using face to face structured questionnaire. All 447 respondents included were low-income earners enrolled in the HLA. Chi-square analysis and multiple logistic regression were used to examine association between the risk factors and healthcare utilization.
Results: The response rate was 93.5%. The healthcare utilization among the respondents during the partial lockdown period was 19.5% and 33.1% during the recovery lockdown period. Enrollment in the PeKa B40 scheme among the 7.6% respondents was not associated with healthcare utilization. After controlling for the variables, those aged 60 years and above [AOR: 1.87; 95% (CI): (1.07; 3.27)], self-rated poor health status [AOR: 2.16; 95% (CI): (1.07; 4.34)], having NCDs [AOR: 4.21; 95% (CI): (2.23; 7.94)], and being hospitalized in the past 12 months [AOR: 3.54; 95% (CI): (1.46; 8.62)], were more likely to utilize healthcare services as compared to their counterparts.
Conclusion: The results from this study is valuable for policy recommendations to improve on the coverage of the PeKa B40 scheme and healthcare access for the low-income population especially during the pandemic.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7975447 | PMC |
http://dx.doi.org/10.1177/23333928211002407 | DOI Listing |
BMC Nurs
January 2025
Faculty of Political, Administrative and Communication Sciences, Department of Public Health, Babeș-Bolyai University, Cluj-Napoca, Romania.
Background: Healthcare adverse events (AEs) significantly impact professionals, often leading to emotional distress and lasting effects. This study investigates the impact of AEs on healthcare professionals in Romania, focusing on nurses to examine their experiences within the patient safety culture and the psychological consequences of AEs. With a limited body of research on patient safety, adverse events, and second victims (SVs) in Romania, this study addresses a crucial gap, highlighting the need for enhanced safety culture and support mechanisms for SVs.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Department of Pharmacy Practice, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur , Tamil Nadu, 603203, India.
Introduction: Several adverse drug reactions (ADRs) go unreported within a healthcare setting despite the risks they cause. We therefore decided to conduct this study in order to recognize the obstacles that hinder the healthcare professionals (HCPs) in a tertiary care hospital in Kattankulathur, Tamil Nadu from reporting ADRs and what strategies ought to be implemented.
Methods: We carried out a cross-sectional study among the HCPs such as doctors, pharmacists and nurses within our institution.
BMC Med Inform Decis Mak
January 2025
Great Ormond Street Institute of Child Health, University College London, London, UK.
Introduction: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).
Design: We applied document embedding algorithms to real-world paediatric intensive care (PICU) EHR data to extract patient-specific features from 1853 patients' PICU journeys using 647 unique lab tests and medication events. We evaluated the clinical utility of the patient features via a K-means clustering analysis.
BMC Public Health
January 2025
Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, UK.
Background: Workplace health screening rarely includes measures of cardiorespiratory fitness, despite it being a greater predictor of cardiovascular disease and all-cause mortality than other routinely measured risk factors. This study aimed to determine the comparative acceptability of using a novel seismocardiography device to measure cardiorespiratory fitness via VO max during a workplace health check.
Methods: Participants were invited to participate in workplace health screening sessions where VO max was assessed by both seismocardiography at rest and sub-maximal exercise testing, in order for acceptability of both to be compared across multiple domains.
BMC Public Health
January 2025
Center for Basic Medical Research, International University of Health and Welfare, 2600-1 Kitakanemaru, Ohtawara-City, Tochigi, 324-8501, Japan.
Background: Foreign workers are at risk for depression, and Vietnamese people tend to be reluctant to seek professional mental health care. Although Vietnamese people are the largest population among foreign workers in Japan, evidence concerning their help-seeking experiences and strategies to promote help-seeking in this population is lacking. This study aimed to identify the percentage of Vietnamese migrant workers in Japan who have sought help from healthcare professionals for depressive symptoms and to explore the factors related to their intentions to seek help from a psychiatrist.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!