ArticleBMJ open2024
A person-centred primary care pharmacist-led osteoporosis review for optimising medicines (PHORM): a protocol for the development and co-design of a model consultation intervention.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- CalOPT: A Specialty Pharmacy-Dietitian Quality Improvement Initiative for Calcium Optimization in Patients with Osteoporosis Risk.Pharmacy (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAdherence to medicines in osteoporosis is poor, with estimated 1 year persistence rates between 16% and 60%. Poor adherence is complex, relating to combinations of fear of side effects, beliefs about medication being unnecessary, doubts about effectiveness and the burden of medication management. This is compounded by an absence of monitoring, as many patients are effectively discharged from ongoing care following the initial prescription. Clinical pharmacists in general practice are a relatively new workforce in the UK NHS; this is an unexplored professional group that could provide person-centred, adherence-focused interventions in an osteoporosis context.A model consultation intervention to be delivered by clinical pharmacists in general practice for patients already prescribed fracture prevention medications will be developed using existing evidence and theory and empirical qualitative work outlined in this protocol. METHODS AND ANALYSIS: We will investigate the current practice and barriers and facilitators to a clinical pharmacist-led osteoporosis intervention, including exploring training needs, through focus groups with people living with osteoporosis, pharmacists, general practitioners, osteoporosis specialists and service designers/commissioners. Framework analysis will identify and prioritise salient themes, followed by mapping codes to the theoretical domains framework and normalisation process theory to understand integration and implementation issues.We will further develop the content and model of care for the new consultation intervention through co-design workshops with stakeholder and patient and public involvement and engagement group members. The intervention in practice will be refined in a sequential process with workshops and in-practice testing with people prescribed fracture prevention medication, pharmacists and the multidisciplinary team. ETHICS AND DISSEMINATION: Ethical approval was obtained from NHS North West-Greater Manchester South Research Ethics Committee (Ref 23/NW/0199). Dissemination and knowledge mobilisation will be facilitated through a range of national bodies/stakeholders. Impact and implementation plans will accelerate this research towards a future clinical trial to determine cost and clinical effectiveness.
Indexed as
Identifiers
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.