Background: For most women, participation in decision-making during maternity care has a positive impact on their childbirth experiences. Shared decision-making (SDM) is widely advocated as a way to support people in their healthcare choices. The aim of this study was to identify quality criteria and professional competencies for applying shared decision-making in maternity care. We focused on decision-making in everyday maternity care practice for healthy women. Methods: An international three-round web-based Delphi study was conducted. The Delphi panel included international experts in SDM and in maternity care: mostly midwives, and additionally obstetricians, educators, researchers, policy makers and representatives of care users. Round 1 contained open-ended questions to explore relevant ingredients for SDM in maternity care and to identify the competencies needed for this. In rounds 2 and 3, experts rated statements on quality criteria and competencies on a 1 to 7 Likert-scale. A priori, positive consensus was defined as 70% or more of the experts scoring ≥6 (70% panel agreement). Results: Consensus was reached on 45 quality criteria statements and 4 competency statements. SDM in maternity care is a dynamic process that starts in antenatal care and ends after birth. Experts agreed that the regular visits during pregnancy offer opportunities to build a relationship, anticipate situations and revisit complex decisions. Professionals need to prepare women antenatally for unexpected, urgent decisions in birth and revisit these decisions postnatally. Open and respectful communication between women and care professionals is essential; information needs to be accurate, evidence-based and understandable to women. Experts were divided about the contribution of professional advice in shared decision-making and about the partner’s role. Conclusions: SDM in maternity care is a dynamic process that takes into consideration women’s individual needs and the context of the pregnancy or birth. The identified ingredients for good quality SDM will help practitioners to apply SDM in practice and educators to prepare (future) professionals for SDM, contributing to women’s positive birth experience and satisfaction with care.
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Introduction: Shared decision-making is considered to be a key aspect of woman-centered care and a strategy to improve communication, respect, and satisfaction. This scoping review identified studies that used a shared decision-making support strategy as the primary intervention in the context of perinatal care. Methods: A literature search of PubMed, CINAHL, Cochrane Library, PsycINFO, and SCOPUS databases was completed for English-language studies conducted from January 2000 through November 2019 that examined the impact of a shared decision-making support strategy on a perinatal decision (such as choice of mode of birth after prior cesarean birth). Studies that only examined the use of a decision aid were excluded. Nine studies met inclusion criteria and were examined for the nature of the shared decision-making intervention as well as outcome measures such as decisional evaluation, including decisional conflict, decisional regret, and certainty. Results: The 9 included studies were heterogeneous with regard to shared decision-making interventions and measured outcomes and were performed in different countries and in a variety of perinatal situations, such as women facing the choice of mode of birth after prior cesarean birth. The impact of a shared decision-making intervention on women’s perception of shared decision-making and on their experiences of the decision-making process were mixed. There may be a decrease in decisional conflict and regret related to feeling informed, but no change in decisional certainty. Discussion: Despite the call to increase the use of shared decision-making in perinatal care, there are few studies that have examined the effects of a shared decision-making support strategy. Further studies that include antepartum and intrapartum settings, which include common perinatal decisions such as induction of labor, are needed. In addition, clear guidance and strategies for successfully integrating shared decision-making and practice recommendations would help women and health care providers navigate these complex decisions.
Background: Shared decision-making (SDM) is often considered the ideal for decision-making in oncology. Views of specific groups such as ethnic minorities have seldom been considered in its development. Aim: In this study we seek to assess in oncology if there is a need for adaptation of the current SDM model to ethnic minorities and to formulate possible adjustments. Design: This study is embedded in empirical bioethics, an interdisciplinary approach integrating empirical data with ethical reasoning to formulate normative conclusions regarding a practice. For the empirical social scientific part, a cross-sectional qualitative study will be conducted; for the ethical reflection the Reflective Equilibrium will be used to develop a coherent view on the application of SDM among ethnic minorities in oncology. Method: Semi-structured interviews combined with visual methods (timelines and relational maps) will be held with healthcare professionals (HCPs), ethnic minority patients, and their relatives to identify values steering the behavior of these actors in SDM. In addition, focus groups (FGs) will be held with ethnic minority community members to identify value structures at the group level. Respondents will be recruited through organizations with access to ethnic minorities and collaborating hospitals. Data will be analyzed using a reflexive thematic analysis through the lens of Schwartz’s value theory. The results of the empirical phase will be included in the RE to formulate possible adjustments of the SDM model, if needed. Discussion: The integration of empirical data with ethical reflection is an innovative method in decision-making. This method enables a systematic and profound assessment of the need for adaptation of SDM and the formulation of theoretically and empirically based suggestions for adaptations of the model. Findings of this study may enrich the SDM model.
