Patient Satisfaction in Obstetrics and Gynecology: Individualized Patient-centered Communication

Dental EHR-infused Persona Ontologies to Enrich Dental Dialogue Interaction of Agents

The quality of patient-provider communication can predict the healthcare outcomes in patients, and therefore, training dental providers to handle the communication effort with patients is crucial. In our previous work, we developed an ontology model that can standardize and represent patient-provider communication, which can later be integrated in conversational agents as tools for dental communication training. In this study, we embark on enriching our previous model with an ontology of patient personas to portray and express types of dental patient archetypes. The Ontology of Patient Personas that we developed was rooted in terminologies from an OBO Foundry ontology and dental electronic health record data elements. We discuss how this ontology aims to enhance the aforementioned dialogue ontology and future direction in executing our model in software agents to train dental students.

Patient perceptions of quality: analyzing patient satisfaction surveys

Purpose

– Healthcare facilities are entering an era of increased oversight and heightened expectations concerning both reduced costs and measureable quality. The US Affordable Care Act requires healthcare organizations to collect certain metrics, including patient assessments of quality, in order to monitor and improve the quality of healthcare. These metrics are used as a basis for graduated insurance reimbursements, and are available to consumers as an aid in selecting healthcare providers and insurance plans. The purpose of this paper is to provide healthcare providers with the analytic capabilities to better understand quality of care from the patient’s point of view.

Design/methodology/approach

– This research examines patient satisfaction data from a multi-specialty Medical Practice Group, and uses regression analysis and paired comparisons to provide insight into patient perceptions of care quality.

Findings

– Results show that variables related to Access, Moving Through the Visit, Nurse/Assistant, Care Provider and Personal Issues significantly impact overall assessments of care quality. In addition, while gender and type of care provider do not appear to have an impact on overall patient satisfaction, significant differences do exist based on age group, specialty of the physician and clinic type.

Originality/value

– This study differs from most academic research as it focusses on medical practices, rather than hospitals, and includes multiple clinic types, medical specialties and physician types in the analysis. The study demonstrates how analytics and patient perceptions of quality can inform policy decisions.

African American women and prenatal care: perceptions of patient-provider interaction

Poor patient-provider interaction among racial/ethnic minorities is associated with disparities in health care. In this descriptive, cross-sectional study, we examine African American women's perspectives and experiences of patient-provider interaction (communication and perceived discrimination) during their initial prenatal visit and their influences on perceptions of care received and prenatal health behaviors. Pregnant African American women (n = 204) and their providers (n = 21) completed a pre- and postvisit questionnaire at the initial prenatal visit. Women were also interviewed face to face at the subsequent return visit. Women perceived high quality patient-provider communication (PPC) and perceived low discrimination in their interaction with providers. Multiple regression analyses showed that PPC had a positive effect on trust in provider (p < .001) and on prenatal care satisfaction (p < .001) but not on adherence to selected prenatal health behaviors. Findings suggest that quality PPC improves the prenatal care experience for African American women.