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Eve-Lynn Nelson

Publications and source records attributed to Eve-Lynn Nelson.

5 recordsLinked to original sources

Modifying the Roter Interaction Analysis System to study provider-patient communication in telemedicine: promises, pitfalls, insights, and recommendations.

This paper suggests modifications to the Roter Interaction Analysis System (RIAS)--the most widely used measure for assessing provider-patient communication during conventional face-to-face consultations--for use in telemedicine. The RIAS, which describes and categorizes communication behaviors, is used to quantify communication events, which may then be correlated with patient, provider, and system attributes and health outcomes. Most of the changes suggested here add new coding subcategories to characterize technology-related utterances and to provide opportunities for global assessments of the overall technology environment within which provider-patient interactions took place. There are also general issues raised that interaction analysis researchers should consider when studying provider-patient communication in a telemedicine context. These relate to nonverbal behavior, multiple participants, missing information, and validity and reliability. In addition to comparing telemedicine to in person consultations, a modified RIAS could be used to compare televideo consultations to each other, across different specialties and technical specifications. A modified RIAS would accommodate not only differences in the current technology environment, but also changes in the way providers and patients communicate over time. The more we know about what interaction patterns lead to best outcomes, the more emphasis can be placed on developing training programs and other interventions to enhance patient-provider interactions in telemedicine.

Humans↗

Adapting the Roter interaction analysis system for telemedicine: lessons from four specialty clinics.

Four specialists (a child psychiatrist, an oncologist, a cardiologist and a rheumatologist) conducted telemedicine clinics using videoconferencing at a bandwidth of 128-384 kbit/s. The consultations were videorecorded. The coded interactions from the first two patients recruited from each of the four telemedicine clinics were analysed. Tapes were coded by two raters. We adapted the Roter interaction analysis system (RIAS) for the telemedicine context. Utterances were coded into socio-emotional and task-focused categories. There were 1055 utterances in total. Providers generated significantly more utterances across categories than patients. In the patient-provider interactions, only 2% of the total utterances related to the technology. The predominance of socio-emotional utterances compared with task-focused utterances for providers was contrary to our expectations. Further studies are required to establish the reliability of the adapted RIAS measure and to increase understanding of telemedicine communication patterns.

Child↗

Treating childhood depression over videoconferencing.

Effective cognitive-behavioral treatments for childhood depression have developed over the last decade, but many families face barriers to such care. Telemedicine increases access to psychological interventions by linking the child and the clinician using videoconferencing (VC). The current study evaluated an 8-week, cognitive-behavioral therapy (CBT) intervention for childhood depression either face-to-face (F2F) or over VC. The telemedicine setup included two PC-based PictureTel systems at 128 kilibits per second (kbps). Success was defined by (1) decreasing depressive symptoms at similar rates in both the VC group and the F2F group and (2) demonstrating the feasibility of a randomized controlled trial in telemental health. Children were assessed for childhood depression using the mood section of the Schedule for Affective Disorders and Schizophrenia for School Age Children-Present Episode (K-SADS-P). Twenty-eight children were randomized to either F2F or VC treatment. The participants completed the K-SADS-P and the Children's Depression Inventory (CDI) at pre- and post-treatment. The CBT treatment across the two conditions was effective. The overall response rate based on post-evaluation with the K-SADS-P was 82%. For the CDI total score, both the Time and the Group by Time effects were significant (p < 0.05). The interaction effect reflected a faster rate of decline in the CDI total score for the VC group. The study serves as a model for building on past research to implement a randomized controlled trial. This information provides persuasive research data concerning treatment effectiveness for clinicians, families, and funders.

Child↗

Reshaping health care delivery for adolescent parents: healthy steps and telemedicine.

Healthy Steps over Telemedicine uses telemedicine technology to bring child development services to adolescent parents in an urban school district. Videoconferencing units link teen parents at a Kansas City high school to developmental specialists and physicians at the Kansas University Medical Center (KUMC). Program participants receive developmental services and valuable health care information without leaving the school. The Healthy Steps goals are to educate parents about health care issues and to help them access medical care for their children and themselves. The telehealth goals are to implement the established Health Steps program effectively over the new medium. This article describes the process of delivering Healthy Steps services via telemedicine, specifically, selection and description of the site, selection of the technology, services provided, research evaluation, and lessons learned.

Adolescent↗

Ethical concerns associated with childhood depression.

Children always merit special ethical concern in mental health research and treatment. But children with depression are a particularly vulnerable population because of developmental considerations and the severity of the illness. This article reviews ethical concerns regarding assessment of depression, clinical care, and research with children.

Antidepressive Agents↗