Objective: The aim of the present study was to examine the relationship between socioeconomic status (SES) and child general practitioner (GP) visits in the first 12 months of life.
Methods: A longitudinal analysis of 1202 mother and child dyads was conducted as part of the Environments for Healthy Living study from south-east Queensland, Australia, for participants enrolled between 2006 and 2009. Maternally reported survey data (sociodemographic and child health information) were linked with individual Medical Benefits Scheme data from birth to 12 months, identifying GP service use.
Results: On average, children visited the GP 10.2 times in the first 12 months of life. An inverse relationship was found for SES and child GP visits, with maternal education and child gender the strongest predictors of the total number of GP visits. Almost 70% of participants had all GP consultations bulk billed and only 3.5% paid more than A$100 in total.
Conclusions: Children from lower SES families may have a greater need for health services due to higher rates of illness and injury. Bulk billing and low-cost access to GP services, regardless of length of consultation, improve equity of access; however, indirect costs may prevent low-income mothers from accessing care for their child when needed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1071/AH14108 | DOI Listing |
Intern Med J
January 2025
Department of Respiratory Medicine, The Alfred Hospital, Melbourne, Victoria, Australia.
Background: Return-to-work (RTW) following lung transplant has been associated with increased quality of life, but little is known regarding the rates of and barriers to this in the Australian population.
Aims: We aimed to describe, characterise and determine predictors of return to work and social participation in Australian lung transplant recipients. We also sought to explore the relationship between return to work and quality of life.
Front Public Health
January 2025
Department of Health Care Management, School of Information and Management, Guangxi Medical University, Nanning, Guangxi, China.
Background: The aging population presents a significant public health challenge, particularly concerning mental health and injury prevention. Anxiety and depression are common among the older adult, affecting their quality of life and increasing the risk of unintentional injuries (UI). This study aims to explore the association between anxiety and depression and UI risk among the older adult in Guangxi, China, using data from the 2023 National Health Service Survey.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Psychiatry and Neurosciences, Psychiatric University Clinic of Charité at St. Hedwig Hospital, Berlin, Germany.
Introduction: Female sex workers are a vulnerable hard-to-reach group. Research in this field is scarce due to several issues, such as methodological difficulties or societal stigmatization. Most of the available literature focuses on sexually transmittable diseases.
View Article and Find Full Text PDFJ Multimorb Comorb
January 2025
Trinity Health of New England, St. Francis Hospital, Hartford, CT, USA.
Background: Since comorbid conditions are frequently present in chronic obstructive pulmonary disease (COPD) and affect outcome, a composite scoring system to quantify comorbidity might be helpful in assessing mortality risk.
Methods: We tested the hypothesis that the Charlson Comorbidity Index (CCI) score at the time of an outpatient medical clinic encounter for COPD predicts all-cause mortality. Cox Proportional Hazards analyses were used in 200 randomly selected patients to relate CCI scores to all-cause mortality out to 5 years.
Cureus
December 2024
Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, PAK.
Background: Breast cancer is one of the most common cancers among Pakistani women. It is mostly diagnosed at stage 2, requiring chemotherapy in certain cases. Chemotherapy is of two types: adjuvant and neoadjuvant.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!