Current situation of shared decision making in osteoporosis: A comprehensive literature review of patient decision aids and decision drivers.
Health Sci Rep
; 5(6): e849, 2022 Nov.
Article
en En
| MEDLINE
| ID: mdl-36425899
Background and Aims: Osteoporosis is a systemic skeletal disease characterized by low bone mass and microstructural deterioration of bone tissues, resulting in bone fragility and increased fracture risk. It is the most common bone-related disease in the population. However, the proportion of patients who start treatment but discontinue it during the first year is very high (around 50%). Endeavors are made to promote patient participation in treatment by implementing patient decision aids (PDA), whose function is to help the patient make disease-related decisions. We aim to summarize the characteristics of the currently available PDA for osteoporosis, as well as deciding factors. Methods: Comprehensive review of the literature. Results: Currently, eleven PDAs can be found for osteoporosis. These PDA have different characteristics or options such as information about treatments tailored to patient needs, graphic information of the results (to facilitate understanding), personal histories (learning), tests to check the knowledge acquired, provision of evidence, clinical practice guidelines or a final summary to share with their doctor. Only five of these PDAs can be considered complete since they provide relevant disease information and therapeutic options to the patient, promote patient's reflection and foment patient-physician discussion. Conclusions: This study provides an update on the current state of decision making on osteoporosis and available PDA, which can help engage the patient through shared decision-making by considering, among other things, patient preferences. Physicians should consider PDA, as it may promote adherence and effectiveness of treatment.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Guideline
/
Prognostic_studies
/
Qualitative_research
Aspecto:
Patient_preference
Idioma:
En
Revista:
Health Sci Rep
Año:
2022
Tipo del documento:
Article
Pais de publicación:
Estados Unidos