ArticleIntegrated pharmacy research & practice2018
Optimizing medicine use for people who are homebound: an evaluation of a pilot domiciliary Medicine Use Review (dMUR) service in England.
Article in Integrated pharmacy research & practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of adverse drug reactions in the primary care setting: A systematic review and meta-analysis.PloS one · 2021Pooled it
- The role of community pharmacists in medicines optimisation for housebound people: A scoping review.PloS one · 2025Article
- Polypharmacy in the Homebound Population.Clinics in geriatric medicine · 2022Review
- Investigation on Household Medication-Taking Behavior and Affordability Among Patients Under Chronic Condition: A Survey Study in Gansu Province, China.Frontiers in pharmacology · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundAs global life expectancy increases, older people with chronic diseases are being required to manage multiple and complex medicine regimes. However, polypharmacy raises the risk of medicine-related problems and preventable hospital admissions. To improve medicine use, English community pharmacies are commissioned to deliver Medicines Use Reviews (MURs), which are typically delivered from the pharmacy. People who are homebound rarely receive the service. This paper describes the uptake and impact of a pilot project that seeks to provide domiciliary Medicines Use Reviews (dMURs).
methodsParticipating pharmacists collected data on their dMUR activity over a 12-month period. Outcome measures (eg, adherence, side-effects, pharmacist assessment of preventable hospital admissions) were recorded. Pharmacists were also invited to submit written testimonies of their experiences of undertaking dMURs.
resultsOut of 433 possible pharmacies eligible to take part in the pilot, 186 pharmacies expressed an interest, and 91 actively engaged in providing the dMUR service. The total number of dMURs performed were 1092 (mean number performed by each pharmacy was 12). Two thirds of patients reported problems and concerns about side-effects and missed doses regarding their medicines. Pharmacists' assessment to prevent hospital admissions found that over one-third of the dMURs had contributed towards preventing either a possible or likely emergency hospital admission. Twelve pharmacists' testimonies were submitted providing context of the problems patients faced with medicines. DISCUSSION: dMURs are feasible and improve patient medicines use. The results indicate that dMUR potentially prevents hospital admissions and readmissions. dMURs offer an opportunity to support the self-care agenda and ensure homebound patients can successfully manage their medicines.
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.