Factors affecting shared decision-making concerning menopausal hormone therapy.
Kanyada KoysombatAnnice MukherjeeSandhi NyuntHugo PedderYana VinogradovaJo BurginHarshida DaveAlexander N ComninosVikram TalaulikarJulia V BaileyWaljit S DhilloAli AbbaraPublished in: Annals of the New York Academy of Sciences (2024)
Menopausal hormone therapy (MHT) is an effective treatment for menopause-related symptoms. Menopause management guidelines recommend a personalized approach to menopause care, including MHT use. Decision-making around menopause care is a complex, iterative process influenced by multiple factors framed by perspectives from both women and healthcare providers (HCPs). This narrative review aims to summarize evidence around factors affecting decision-making regarding menopause-related care. For HCPs, the provision of individualized risk estimates is challenging in practice given the number of potential benefits and risks to consider, and the complexity of the data available, especially within time-limited consultations. Women seeking menopause care have the difficult task of making sense of the benefit versus risk profiles to make choices in line with their decisional needs influenced by sociocultural/economic, educational, demographic, and personal characteristics. The press, social media, and influential celebrities also impact the perception of menopause and decision-making around it. Understanding these factors can lead to improved participation in shared decision-making, satisfaction with the decision and decision-making process, adherence to treatment, reduced decisional regret, efficient use of resources, and ultimately long-term satisfaction with care.
Keyphrases
- healthcare
- decision making
- palliative care
- postmenopausal women
- social media
- quality improvement
- affordable care act
- pain management
- stem cells
- polycystic ovary syndrome
- physical activity
- mental health
- magnetic resonance imaging
- metabolic syndrome
- type diabetes
- skeletal muscle
- bone marrow
- climate change
- magnetic resonance
- mesenchymal stem cells
- big data
- drug induced
- glycemic control