Improving dental care recommendation systems using trust and social networks

The growing popularity of Health Social Networking sites has a tremendous impact on people's health related experiences. However, without any quality filtering, there could be a detrimental effect on the users' health. Trust-based techniques have been identified as effective methods to filter the information for recommendation systems. This research focuses on dental care related social networks and recommendation systems. Trust is critical when choosing a dental care provider due to the invasive nature of the treatment. Surprisingly, current dental care recommendation systems do not use trust-based techniques, and most of them are simple reviews and ratings sites. This research aims at improving dental care recommendation systems by proposing a new framework, taking trust into account. It derives trust from both users' social networks and from existing crowdsourced information on dental care. Such a framework could be used for other healthcare recommendation systems where trust is of major importance. © 2014 IEEE

Enhancing trust in dental care recommendation systems : using trust-enhanced information from social networks to improve the matching between patients and dentists

University of Technology Sydney. Faculty of Engineering and Information Technology.The recent growth in social media has impacted the way users are searching and sharing health information online. Crowdsources, such as review and rating websites, provide an outlet for consumers to share their opinions on healthcare professionals. Yet, faced with the enormity and diversity of information across multiple online sources, finding the right information can be a challenge for users, particularly when there is no consistency in the evaluation criteria across various sources. This difficulty is manifested when existing review and rating websites do not take patient information into consideration. Extremely biased views – positive or negative – are capable of skewing recommendations and thereby compounding the situation. This makes it important to filter trustworthy information from health social networks and dental crowdsources. In the case of dental care, the invasive nature of many dental treatments highlights the importance of selecting a suitable trustworthy provider for many patients, who may be anxious or reluctant to visit a new dentist. By analysing, from multiple perspectives, the trustworthiness of information available to patients, this study proposes a new trust-enhanced information model for dental care recommendation systems. In this model, dentists are profiled based on subjective information extracted from dental crowdsources. Subjective qualities are also used to profile patients. Currently, online social network data cannot be used for profiling purposes due to privacy and identification concerns. Instead, one of the popular personality tests, the DISC personality test, is used in this study. The importance and suitability of subjective qualities for recommendations is explored. Two matching algorithms are evaluated based on the responses to an online survey. When the patients are classified based on their levels of fear, preferred search methods and other attributes, their list of recommended dentists changes. The subjective characteristics of both patients and dentists are important factors which need to be incorporated to improve the matching capability of dental care recommendation systems. Including the subjective qualities of users could change the way that recommendations are provided in the future, especially in the health sector where the wrong information can lead to adverse impacts on health. Although patients’ discussions about their health are sensitive and private, they can benefit from more accurate recommendations in relation to health care providers

Analysing and using subjective criteria to improve dental care recommendation systems

Online reviews and rating sites are shaping industries as the users rely on recommendations given by former consumers and sharing opinions on the web. Dentistry has also been impacted by dental patients' reviews. This paper classifies trust-related information for dental care recommendations onto 4 categories: context, relationship, reputation and subjective criteria. It discusses each category and describes how they help focussing on trust when matching patients and dentists in brief. The paper then focuses on subjective criteria and presents the results of a survey aimed at showing trustrelated information emerged from subjective characteristics. Traits of personalities are used as subjective characteristics of patients and that of dentists are derived from the online patients' reviews. 580 Australian patients were surveyed to determine what factors affect their decision to find the trusted dentist. Subjective characteristics of dentists such as dentists' qualities and experienced dentists are considered the most important factors after location and cost. The most preferred dentists' qualities by almost all types of personalities are experienced, professional and quality of service. When the patients are further classified based on levels of fear, their preferences for dentists' qualities changed. Subjective qualities of both patients and dentists are important factors to improve the matching capability for the dental care recommendation systems

Improving the matching process of dental care recommendation systems by using subjective criteria for both patients and dentists

Nowadays, healthcare recommendation systems are matching health professionals with patients based on preferences such as location, type of treatments, price, availability or other information including their type of health insurance. In the health social network domain, subjective criteria such as attitude, personality and behaviour have not been considered for matching of patients and health professionals. In this research, we focus on dental care recommendation systems and we aim at introducing subjective criteria in the matching process. Patients are profiled in terms of attitudes, personalities and behaviours through a set of questionnaires, derived from the popular methods such as DISC (Dominant, Influencer, Steady, and Compliant) personality test. In addition, we use crowdsourcing to extract feedback from patients and to profile dentists according to their qualities (e.g.: Friendly, caring, rude, etc.). These qualities are then used in the matching process. A thorough investigation on how to improve the matching process of a patient's subjective profile with a dentist's qualities is done through online questionnaires and focus group. The research aims at deriving a dynamic set of matching rules to improve the process of recommendation that includes subjective aspects so that in the future, patients can be better matched with the 'right' dentist for them

Creating Community Environments That Promote Comprehensive Health and Wellness

Describes the impact of Hurricanes Katrina and Rita on the health of the residents of Arkansas, Louisiana, and Mississippi. Outlines strategies to identify effective programs designed to reduce health disparities and improve health status in the region

Health Report

This Plan for Health is an unusual undertaking in two respects. It is part of the Go To 2040 regional master plan along with other human services components that have, historically, been outside the purview of planners, who are usually more concerned with issues such as land use, transportation, and solid waste disposal. And the planning horizon covers three decades, providing a rare opportunity for health planners to engage in truly long range planning. Health is more than medical care: a variety of factors determine the health of individuals and a community. These "underlying determinants" include demographic composition, income and poverty, employment, social status, cultural beliefs and practices, level of educational attainment, environmental conditions, genetics, individual behaviors, and public health measures, in addition to the quality and utilization of health care services.Most planning efforts, which attempt to affect community health, deal only with public health and medical services delivery, even though the other factors are known to have a greater influence on community and individual health. This plan approaches the challenge differently; it focuses on the underlying determinants of health and moves beyond the narrower focus that health planners and public health officials traditionally take. This report identifies the connections that education, land use, transportation, food and hunger, civic engagement, workforce, and the economy have with health, and it focuses on strategies and interventions that can be pursued in these sectors to improve health throughout this region

Access Update, February 2010

Monthly newsletter for the Iowa Department of Public Healt

Family at the Center

To better understand how family engagement supports school readiness in Los Angeles County, The David and Lucile Packard Foundation and the LA Partnership for Early Childhood Investment convened an advisory group of early childhood leaders and stakeholders to provide advice and explore opportunities to strengthen parent engagement. This report summarizes key insights and recommendations that emerged through these discussions and additional research about parent engagement programs and practices

Enhancing Gypsy, Roma and Traveller peoples’ trust:using maternity and early years’ health services and dental health services as exemplars of mainstream service provision

Gypsies, Roma and Travellers (GRT) are socially excluded groups where evidence for improving health is weakest. Although GRT communities are diverse, and robust evidence of health needs is lacking, there is consensus that GRT in the UK have poorer health and lower life expectancy than the general population and other disadvantaged groups. Reasons why GRT are vulnerable to poor health outcomes include poor living conditions, high rates of homelessness, low educational achievement, social exclusion, widespread prejudice and discrimination and barriers to accessing healthcare. These multiple factors, alongside poor quality care that does not meet needs, may lead to low expectations and mistrust of health services. Trust in services and personnel is associated with increased utilisation of healthcare, improved health behaviours and quality of care. Community engagement strategies have the potential to enhance trust and ensure services are tailored to the needs of specific populations. This multi-component study aimed to strengthen evidence on how to improve uptake and delivery of health services and thereby reduce health inequalities for GRT