Trial reportBMC health services research2011
Preventing hospital admissions by reviewing medication (PHARM) in primary care: design of the cluster randomised, controlled, multi-centre PHARM-study.
Trial report in BMC health services research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Cost Effectiveness of Advanced Pharmacy Services Provided in the Community and Primary Care Settings: A Systematic Review.PharmacoEconomics · 2019Pooled it
- Drug-Related Hospital Visits and Admissions Associated with Laboratory or Physiologic Abnormalities-A Systematic-Review.PloS one · 2013Pooled it
- Effectiveness of medication review on the number of drug-related problems in patients visiting the outpatient cardiology clinic: A randomized controlled trial.British journal of clinical pharmacology · 2020Trial
- Implications of a clinical medication review and a pharmaceutical care plan of polypharmacy patients with a cardiovascular disorder.International journal of clinical pharmacy · 2016Trial
- Physicians' acceptance of pharmacists' interventions in daily hospital practice.International journal of clinical pharmacy · 2020Article
- Assessment tool for hospital admissions related to medications: development and validation in older patients.International journal of clinical pharmacy · 2019Article
- The support of medication reviews in hospitalised patients using a clinical decision support system.SpringerPlus · 2016Article
- Majority of drug-related problems identified during medication review are not associated with STOPP/START criteria.European journal of clinical pharmacology · 2015Article
- Computerized Decision Support Improves Medication Review Effectiveness: An Experiment Evaluating the STRIP Assistant's Usability.Drugs & aging · 2015Article
- Implementation of medication reviews in community pharmacies and their effect on potentially inappropriate drug use in elderly patients.International journal of clinical pharmacy · 2013Observational
- Identification of drug-related problems by a clinical pharmacist in addition to computerized alerts.International journal of clinical pharmacy · 2013Observational
- Can the targeted use of a discharge pharmacist significantly decrease 30-day readmissions?Hospital pharmacy · 2013Article
- Adverse drug events as a cause of hospitalization in older adults.Drug safety · 2012Review
- Preventable and non-preventable adverse drug events in hospitalized patients: a prospective chart review in the Netherlands.Drug safety · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMedication can be effective but can also be harmful and even cause hospital admissions. Medication review or pharmacotherapy review has often been proposed as a solution to prevent these admissions and to improve the effectiveness and safety of pharmacotherapy. However, most published randomised controlled trials on pharmacotherapy reviews showed no or little effect on morbidity and mortality. Therefore we designed the PHARM (Preventing Hospital Admissions by Reviewing Medication)-study with the objective to study the effect of the total pharmaceutical care process on medication related hospital admissions and on adverse drug events, survival and quality of life. METHODS/
designThe PHARM-study is designed as a cluster randomised, controlled, multi-centre study in an integrated primary care setting. Patients with a high risk of a medication related hospital admission are included in the study with randomisation at GP (general practitioner) level. We aim to include 14200 patients, 7100 in each arm, from at least 142 pharmacy practices.The intervention consists of a patient-centred, structured, pharmaceutical care process. This process consists of several steps, is continuous and occurs over multiple encounters of patients and clinicians. The steps of this pharmaceutical care process are a pharmaceutical anamnesis, a review of the patient's pharmacotherapy, the formulation and execution of a pharmaceutical care plan combined with the monitoring and follow up evaluation of the care plan and pharmacotherapy. The patient's own pharmacist and GP carry out the intervention. The control group receives usual care.The primary outcome of the study is the frequency of hospital admissions related to medication within the study period of 12 months of each patient. The secondary outcomes are survival, quality of life, adverse drug events and severe adverse drug events. The outcomes will be analysed by using mixed-effects Cox models. DISCUSSION: The PHARM-study is one of the largest controlled trials to study the effectiveness of the total pharmaceutical care process. The study should therefore provide evidence as to whether such a pharmaceutical care process should be implemented in the primary care setting.
trial registrationTRIAL NUMBER: NTR 2647.
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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.