A method for the design and development of medical or health care information websites to optimize search engine results page rankings on Google.

BACKGROUND: The Internet is a widely used source of information for patients searching for medical/health care information. While many studies have assessed existing medical/health care information on the Internet, relatively few have examined methods for design and delivery of such websites, particularly those aimed at the general public. OBJECTIVE: This study describes a method of evaluating material for new medical/health care websites, or for assessing those already in existence, which is correlated with higher rankings on Google's Search Engine Results Pages (SERPs). METHODS: A website quality assessment (WQA) tool was developed using criteria related to the quality of the information to be contained in the website in addition to an assessment of the readability of the text. This was retrospectively applied to assess existing websites that provide information about generic medicines. The reproducibility of the WQA tool and its predictive validity were assessed in this study. RESULTS: The WQA tool demonstrated very high reproducibility (intraclass correlation coefficient=0.95) between 2 independent users. A moderate to strong correlation was found between WQA scores and rankings on Google SERPs. Analogous correlations were seen between rankings and readability of websites as determined by Flesch Reading Ease and Flesch-Kincaid Grade Level scores. CONCLUSIONS: The use of the WQA tool developed in this study is recommended as part of the design phase of a medical or health care information provision website, along with assessment of readability of the material to be used. This may ensure that the website performs better on Google searches. The tool can also be used retrospectively to make improvements to existing websites, thus, potentially enabling better Google search result positions without incurring the costs associated with Search Engine Optimization (SEO) professionals or paid promotion.

Can advanced paramedics in the field diagnose patients and predict hospital admission?

BACKGROUND: Accurate patient diagnosis in the prehospital environment is essential to initiate suitable care pathways. The advanced paramedic (AP) is a relatively recent role in Ireland, and refers to a prehospital practitioner with advanced life-support skills and training. OBJECTIVES: The objectives of this study were to compare the diagnostic decisions of APs with emergency medicine (EM) physicians, and to investigate if APs, as currently trained, can predict the requirement for hospital admission. METHODS: A prospective study was initiated, whereby each emergency ambulance call received via the statutory 999 system was recorded by the attending AP. The AP was asked to provide a clinical diagnosis for each patient, and to predict if hospital admission was required. The data was then cross-referenced with the working diagnosis of the receiving emergency physician and the hospital admission records. RESULTS: A total of 17 APs participated in the study, and 1369 emergency calls were recorded over a 6-month period. Cases where a general practitioner attended the scene were excluded from the concordance analysis. Concordance with the receiving emergency physician represents 70% (525/748) for all cases of AP diagnosis, and is mirrored with 70% (604/859) correct hospital admission predictions. CONCLUSIONS: AP diagnosis and admission prediction for emergency calls is similar to other emergency medical services systems despite the relative recency of the AP programme in Ireland. Recognition of non-concordance case types may identify priorities for AP education, and drive future AP practice in areas such as 'treat and refer'.