ReviewOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2022
Supporting patients to get the best from their osteoporosis treatment: a rapid realist review of what works, for whom, and in what circumstance.
Review in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Effects of whole-body vibration on bone mineral density in postmenopausal women: an overview of systematic reviews.BMC women's health · 2024Pooled it
- Bisphosphonate alternative regimens for the prevention of osteoporotic fragility fractures: BLAST-OFF, a mixed-methods study.Health technology assessment (Winchester, England) · 2024Pooled it
- The Michael Mason prize: development and feasibility testing of a complex intervention to improve adherence to fracture prevention medicine.Rheumatology (Oxford, England) · 2026Article
- Beyond pharmacotherapy: a narrative review of patient, social, and healthcare system factors influencing treatment adherence in ankylosing spondylitis.Frontiers in medicine · 2026Review
- Article
- CalOPT: A Specialty Pharmacy-Dietitian Quality Improvement Initiative for Calcium Optimization in Patients with Osteoporosis Risk.Pharmacy (Basel, Switzerland) · 2025Article
- Article
- The evaluation of an osteoporosis medication management service in community pharmacy, a cohort study.Exploratory research in clinical and social pharmacy · 2024Article
- Barriers to osteoporosis management and adherence to Clinical Practice Guideline: a comparative study between tertiary East Coast hospitals and a Fracture Liaison Services (FLS)-accredited hospital in Malaysia.Archives of osteoporosis · 2024Article
- Mind the osteoporosis care gap with timely diagnosis: an executive summary of nationwide osteoporosis Campaigns 2019-2021.Journal of diabetes and metabolic disorders · 2023Article
- Two-country comparison of the prescription of bone protection medication before and early after hip fracture.Archives of osteoporosis · 2022Article
- Use of Clinical Practice Guidelines and Quality Metrics to Assess Primary Care Management of Osteoporosis.Gerontology & geriatric medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 1 country.
Funding
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.
introductionIn 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.
methodsA 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.
resultsWe 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.
conclusionsWe 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.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.