Affiliation:
1. Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
2. School of Public Health, University College Cork, Cork, Ireland
3. Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
4. Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA
Abstract
Abstract
Objectives
To analyze current practices in shared decision-making (SDM) in primary care and perform a needs assessment for the role of information technology (IT) interventions.
Materials and Methods
A mixed-methods study was conducted in three phases: (1) ethnographic observation of clinical encounters, (2) patient interviews, and (3) physician interviews. SDM was measured using the validated OPTION scale. Semistructured interviews followed an interview guide (developed by our multidisciplinary team) informed by the Traditional Decision Conflict Scale and Shared Decision Making Questionnaire. Field notes were independently coded and analyzed by two reviewers in Dedoose.
Results
Twenty-four patient encounters were observed in 3 diverse practices with an average OPTION score of 57.2 (0–100 scale; 95% confidence interval [CI], 51.8–62.6). Twenty-two patient and 8 physician interviews were conducted until thematic saturation was achieved. Cohen’s kappa, measuring coder agreement, was 0.42. Patient domains were: establishing trust, influence of others, flexibility, frustrations, values, and preferences. Physician domains included frustrations, technology (concerns, existing use, and desires), and decision making (current methods used, challenges, and patients’ understanding).
Discussion
Given low SDM observed, multiple opportunities for technology to enhance SDM exist based on specific OPTION items that received lower scores, including: (1) checking the patient’s preferred information format, (2) asking the patient's preferred level of involvement in decision making, and (3) providing an opportunity for deferring a decision. Based on data from interviews, patients and physicians value information exchange and are open to technologies that enhance communication of care options.
Conclusion
Future primary care IT platforms should prioritize the 3 quantitative gaps identified to improve physician–patient communication and relationships. Additionally, SDM tools should seek to standardize common workflow steps across decisions and focus on barriers to increasing adoption of effective SDM tools into routine primary care.
Funder
Agency for Healthcare Research and Quality
Publisher
Oxford University Press (OUP)
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