Task-Specific Patient Preferences for Shared Decision-Making in Hand Surgery

Shared decision-making for surgery can increase patient engagement, satisfaction, and clinical outcomes. However, the level of involvement that patients desire at each step of the decision-making process is unknown.

The authors surveyed patients at an academic hand surgery clinic to examine the preferred role in decision-making using validated questionnaires (i.e., Control Preference Scale, Problem-Solving Decision-Making Scale, and General Self-Efficacy Scale). The Control Preference Scale assesses general treatment preferences, whereas the Problem-Solving Decision-Making Scale distinguishes between problem-solving tasks (e.g., making diagnoses, calculating risks/benefits) and decision-making tasks. Patients' self-beliefs and perceived ability to handle difficult situations were assessed with the General Self-Efficacy Scale. The authors used linear regression models and ordinal logistic regression to examine the relationship between self-efficacy and patients' preferred role in treatment decision-making.

Patients overall preferred an equal share of decision-making responsibility with the surgeon (mean Control Preference Scale score, 3.3 ± 0.7). Specifically, for problem-solving tasks, however, 81 percent of patients wanted to "hand over" the responsibility and 19 percent preferred shared decision-making. In contrast, for decision-making tasks, 54 percent of patients preferred shared decision-making. Each point increase in General Self-Efficacy Scale score correlated with 12 percent greater odds of preferring to retain the responsibility (OR, 1.12; 95 percent CI, 1.05 to 1.21; p = 0.001). However, self-efficacy did not show a significant effect for problem-solving tasks.

The authors found that patients prefer surgeons to provide expert knowledge for problem-solving tasks but desire equal share of responsibility in decision-making tasks. The authors' findings support the current shift away from the paternalistic model of surgical decision-making, and provide an effective strategy to tailor shared decision-making to align care delivery with patient preferences.