Family practice
-
Homeless populations (HPs) have difficulties obtaining necessary medical care, and primary health care service outreach (PHSO) might be useful to bridge this gap. ⋯ Our review adds to the evidence that PHSO likely improves health care access for HPs. Further studies over longer time periods, involving collaborations with experts with lived experience of homelessness, and utilizing randomized study designs are needed to test outreach efficacy.
-
Research underscores the importance of providers having routine discussions with patients about their sexual health. We examined the occurrences and association of routine sexual health discussion practices and human immunodeficiency virus (HIV) clinical care among primary care providers (PCPs) in areas with high HIV prevalence. ⋯ Routine discussions can reduce barriers to important HIV prevention and care services and help reduce disparities among patients living in highly prevalent HIV locations.
-
eHealth provides a viable option to facilitate type-2 diabetes mellitus self-management and adherence. To this end, a web-based computer-tailored eHealth programme, My Diabetes Profile (MDP), was developed and implemented in Dutch diabetes care. To fully utilize the potential of eHealth, the reach of effective programmes like MDP should be maximized. Therefore, it is vital to explore perceptions of general practitioners (GPs) regarding eHealth and factors that influence GPs' decision to adopt eHealth programmes. ⋯ While GPs' opinions about eHealth and MDP were positive, the concept of MDP was relatively unfamiliar. Future research should focus on targeting GPs' awareness of eHealth possibilities.
-
Classification and prediction tasks are common in health research. With the increasing availability of vast health data repositories (e.g. electronic medical record databases) and advances in computing power, traditional statistical approaches are being augmented or replaced with machine learning (ML) approaches to classify and predict health outcomes. ML describes the automated process of identifying ("learning") patterns in data to perform tasks. ⋯ In the future, ML approaches are positioned to become commonplace in family medicine. As such, it is important to understand the objectives that can be addressed using ML approaches and the associated techniques and limitations. This article provides a brief introduction into the use of ML approaches for classification and prediction tasks in family medicine.
-
There is a limited need for antibiotics when treating oral health problems, yet they are often prescribed, increasing risk of antimicrobial resistance (AMR). With AMR a threat to public health, the objectives of this study were to assess the frequency, suitability, and factors associated with antibiotic prescriptions for acute dental problems across Greater Western Sydney public dental clinics. ⋯ In summary, the data suggest that the majority of antibiotics were inappropriately prescribed for the patient's dental complaints and there is a need for interventions to improve compliance with antibiotic prescribing guidelines.