US-based cross-sectional survey of clinicians' knowledge and attitudes about shared decision-making across healthcare professions and specialties

BMJ Open. 2018 Oct 18;8(10):e022730. doi: 10.1136/bmjopen-2018-022730.

Abstract

Objective: In this study, we aim to compare shared decision-making (SDM) knowledge and attitudes between US-based physician assistants (PAs), nurse practitioners (NPs) and physicians across surgical and family medicine specialties.

Setting: We administered a cross-sectional, web-based survey between 20 September 2017 and 1 November 2017.

Participants: 272 US-based NPs, PA and physicians completed the survey. 250 physicians were sent a generic email invitation to participate, of whom 100 completed the survey. 3300 NPs and PAs were invited, among whom 172 completed the survey. Individuals who met the following exclusion criteria were excluded from participation: (1) lack of English proficiency; (2) area of practice other than family medicine or surgery; (3) licensure other than physician, PA or NP; (4) practicing in a country other than the US.

Results: We found few substantial differences in SDM knowledge and attitudes across clinician types, revealing positive attitudes across the sample paired with low to moderate knowledge. Family medicine professionals (PAs) were most knowledgeable on several items. Very few respondents (3%; 95% CI 1.5% to 6.2%) favoured a paternalistic approach to decision-making.

Conclusions: Recent policy-level promotion of SDM may have influenced positive clinician attitudes towards SDM. Positive attitudes despite limited knowledge warrant SDM training across occupations and specialties, while encouraging all clinicians to promote SDM. Given positive attitudes and similar knowledge across clinician types, we recommend that SDM is not confined to the patient-physician dyad but instead advocated among other health professionals.

Keywords: organisation of health services; quality In health care.

MeSH terms

  • Adult
  • Attitude of Health Personnel
  • Cross-Sectional Studies
  • Decision Making*
  • Female
  • Health Services Research
  • Humans
  • Male
  • Nurse Practitioners* / statistics & numerical data
  • Patient Participation
  • Physician Assistants* / statistics & numerical data
  • Physician-Patient Relations / ethics*
  • Physicians* / statistics & numerical data