Dataset Information

Gastroenterologists' Views of Shared Decision Making for Patients with Inflammatory Bowel Disease.

ABSTRACT: There is limited information on gastroenterologists' perspectives of shared decision making (SDM) in discussions of therapeutic agents with inflammatory bowel disease (IBD) patients.To examine gastroenterologists' perspectives about SDM with IBD patients, using a novel statistical hybrid approach to analyze qualitative data.Physician interviews and online surveys were conducted from a panel of gastroenterologists in April 2012. Gastroenterologists were asked about their barriers to SDM, SDM practices, relationship to their patients, knowledge of SDM, and insights into SDM implementation. Key audio excerpts adapted from the interviews were used for moment-to-moment affect trace analysis in an online survey. Cluster analysis was used to segment gastroenterologists into mutually exclusive provider groups.One hundred and six gastroenterologists completed the survey (88 % male; 55 % ? 50 years of age). Over three-fourths of gastroenterologists were familiar with SDM (77 %). The vast majority of gastroenterologists (80 %) tried to use a form of SDM with their patients; only 12 % stated that they have a systematic, consistent, and formally documented approach to SDM. Three unique physician clusters were identified: SDM Believers (20 %, n = 20); SDM Skeptics (47 %, n = 47); and SDM Enthusiasts (34 %, n = 34). The three key barriers to practicing SDM were lack of the following: time (74 %), reimbursement (70 %), and tools (51 %). Twenty-two percent of gastroenterologists do not currently use SDM tools.Gastroenterologists lack the systematic approaches and tools for implementing SDM within their IBD practices. These data offer a foundation for future research in developing and testing SDM programs for gastroenterologists and their IBD patients.

SUBMITTER: Siegel CA

PROVIDER: S-EPMC4541702 | biostudies-other | 2015 Sep

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Gastroenterologists' Views of Shared Decision Making for Patients with Inflammatory Bowel Disease.

Siegel Corey A CA Lofland Jennifer H JH Naim Ahmad A Gollins Jan J Walls Danielle M DM Rudder Laura E LE Reynolds Chuck C

Digestive diseases and sciences 20150505 9

<h4>Background</h4>There is limited information on gastroenterologists' perspectives of shared decision making (SDM) in discussions of therapeutic agents with inflammatory bowel disease (IBD) patients.<h4>Aims</h4>To examine gastroenterologists' perspectives about SDM with IBD patients, using a novel statistical hybrid approach to analyze qualitative data.<h4>Methods</h4>Physician interviews and online surveys were conducted from a panel of gastroenterologists in April 2012. Gastroenterologists ...[more]

PMID: 25939543

Similar Datasets

Project description:BackgroundThe use of artificial intelligence (AI) in decision-making around knee replacement surgery is increasing, and this technology holds promise to improve the prediction of patient outcomes. Ambiguity surrounds the definition of AI, and there are mixed views on its application in clinical settings.ObjectiveIn this study, we aimed to explore the understanding and attitudes of patients who underwent knee replacement surgery regarding AI in the context of risk prediction for shared clinical decision-making.MethodsThis qualitative study involved patients who underwent knee replacement surgery at a tertiary referral center for joint replacement surgery. The participants were selected based on their age and sex. Semistructured interviews explored the participants' understanding of AI and their opinions on its use in shared clinical decision-making. Data collection and reflexive thematic analyses were conducted concurrently. Recruitment continued until thematic saturation was achieved.ResultsThematic saturation was achieved with 19 interviews and confirmed with 1 additional interview, resulting in 20 participants being interviewed (female participants: n=11, 55%; male participants: n=9, 45%; median age: 66 years). A total of 11 (55%) participants had a substantial postoperative complication. Three themes captured the participants' understanding of AI and their perceptions of its use in shared clinical decision-making. The theme Expectations captured the participants' views of themselves as individuals with the right to self-determination as they sought therapeutic solutions tailored to their circumstances, needs, and desires, including whether to use AI at all. The theme Empowerment highlighted the potential of AI to enable patients to develop realistic expectations and equip them with personalized risk information to discuss in shared decision-making conversations with the surgeon. The theme Partnership captured the importance of symbiosis between AI and clinicians because AI has varied levels of interpretability and understanding of human emotions and empathy.ConclusionsPatients who underwent knee replacement surgery in this study had varied levels of familiarity with AI and diverse conceptualizations of its definitions and capabilities. Educating patients about AI through nontechnical explanations and illustrative scenarios could help inform their decision to use it for risk prediction in the shared decision-making process with their surgeon. These findings could be used in the process of developing a questionnaire to ascertain the views of patients undergoing knee replacement surgery on the acceptability of AI in shared clinical decision-making. Future work could investigate the accuracy of this patient group's understanding of AI, beyond their familiarity with it, and how this influences their acceptance of its use. Surgeons may play a key role in finding a place for AI in the clinical setting as the uptake of this technology in health care continues to grow.

Project description:Despite an increased awareness of shared decision-making (SDM) and its prominent position on the health policy agenda, its implementation in routine care remains a challenge in Germany. In order to overcome this challenge, it is important to understand healthcare providers' views regarding SDM and to take their perspectives and opinions into account in the development of an implementation program. The present study aimed at exploring a) the attitudes of different healthcare providers regarding SDM in oncology and b) their experiences with treatment decisions in daily practice.A qualitative study was conducted using focus groups and individual interviews with different healthcare providers at the University Cancer Center Hamburg, Germany. Focus groups and interviews were audio-recorded, transcribed and analyzed using conventional content analysis and descriptive statistics.N = 4 focus groups with a total of N = 25 participants and N = 17 individual interviews were conducted. Attitudes regarding SDM varied greatly between the different participants, especially concerning the definition of SDM, the attitude towards the degree of patient involvement in decision-making and assumptions about when SDM should take place. Experiences on how treatment decisions are currently made varied. Negative experiences included time and structural constraints, and a lack of (multidisciplinary) communication. Positive experiences comprised informed patients, involvement of relatives and a good physician-patient relationship.The results show that German healthcare providers in oncology have a range of attitudes that currently function as barriers towards the implementation of SDM. Also, their experiences on how decision-making is currently done reveal difficulties in actively involving patients in decision-making processes. It will be crucial to take these attitudes and experiences seriously and to subsequently disentangle existing misconceptions in future implementation programs.

Dataset Information

Gastroenterologists' Views of Shared Decision Making for Patients with Inflammatory Bowel Disease.

Publications

Gastroenterologists' Views of Shared Decision Making for Patients with Inflammatory Bowel Disease.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets