Keele Research Repository
Explore the Repository
Paskins, Z, Babatunde, OO, Sturrock, A, Toh, LS, Horne, R, Maidment, I and Royal Osteoporosis Society Osteoporosis, Bone Research Academy, Effectiveness Working Group of the (2022) Supporting patients to get the best from their osteoporosis treatment: a rapid realist review of what works, for whom, and in what circumstance. Osteoporosis International, 33. ISSN 0937-941X
s00198-022-06453-4.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.
Download (832kB) | Preview
Abstract
Systematic reviews that examine effectiveness of interventions to improve medicines optimisation do not explain how or why they work. This realist review identified that interventions which effectively optimise medicines use in osteoporosis include opportunities to address patients' perceptions of illness and treatment and/or support primary care clinician decision making. INTRODUCTION: In people with osteoporosis, adherence to medicines is poorer than other diseases and patients report follow-up is lacking, and multiple unmet information needs. We conducted a rapid realist review to understand what contextual conditions and mechanisms enable interventions to support osteoporosis medication optimisation. METHODS: A primary search identified observational or interventional studies which aimed to improve medicines adherence or optimisation; a supplementary second search identified research of any design to gain additional insights on emerging findings. Extracted data was interrogated for patterns of context-mechanism-outcome configurations, further discussed in team meetings, informed by background literature and the Practicalities and Perception Approach as an underpinning conceptual framework. RESULTS: We identified 5 contextual timepoints for the person with osteoporosis (identifying a problem; starting medicine; continuing medicine) and the practitioner and healthcare system (making a diagnosis and giving a treatment recommendation; reviewing medicine). Interventions which support patient-informed decision making appear to influence long-term commitment to treatment. Supporting patients' practical ability to adhere (e.g. by lowering treatment burden and issuing reminders) only appears to be helpful, when combined with other approaches to address patient beliefs and concerns. However, few studies explicitly addressed patients' perceptions of illness and treatment. Supporting primary care clinician decision making and integration of primary and secondary care services also appears to be important, in improving rates of treatment initiation and adherence. CONCLUSIONS: We identified a need for further research to identify a sustainable, integrated, patient-centred, and cost- and clinically effective model of long-term care for people with osteoporosis.
Item Type: | Article |
---|---|
Additional Information: | Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/. |
Uncontrolled Keywords: | osteoporosis treatment; realist review; medicines optimisation |
Subjects: | R Medicine > R Medicine (General) R Medicine > RA Public aspects of medicine |
Divisions: | Faculty of Medicine and Health Sciences > School of Medicine |
Related URLs: | |
Depositing User: | Symplectic |
Date Deposited: | 21 Aug 2022 09:56 |
Last Modified: | 01 Feb 2023 10:13 |
URI: | https://eprints.keele.ac.uk/id/eprint/11323 |