Evidence map›Paper›PMID 36368938›Full record

Trial reportBMC geriatrics2022

Implementation of a medicine management plan (MMP) to reduce medication-related harm (MRH) in older people post-hospital discharge: a randomised controlled trial.

Khalid Ali, Ekow A Mensah, Eugene Ace McDermott, Frances A Kirkham, Jennifer Stevenson, Victoria Hamer, Nikesh Parekh, Rebekah Schiff, Tischa Van Der Cammen, Stephen Nyangoma and 4 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 2 countries.

Khalid AliUniversity Hospitals-Sussex NHS Trust, Brighton, UK. khalid.ali10@nhs.net.
Ekow A MensahUniversity Hospitals-Sussex NHS Trust, Brighton, UK.
Eugene Ace McDermottUniversity Hospitals-Sussex NHS Trust, Brighton, UK.
Frances A KirkhamUniversity Hospitals-Sussex NHS Trust, Brighton, UK.
Jennifer StevensonInstitute of Pharmaceutical Science, King's College London, London, UK.
Victoria HamerHonorary Patient and Public Involvement (PPI) Fellow, Centre for Applied Health and Social Care Research, Kingston University, Kingston, UK.
Nikesh ParekhUniversity Hospitals-Sussex NHS Trust, Brighton, UK.
Rebekah SchiffSt Thomas' Hospital, London, UK.
Tischa Van Der CammenDepartment of Human-Centered Design, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.
Stephen NyangomaImperial College-London, London, UK.
Sally Fowler-DavisAdvanced Wellbeing Research Centre- Sheffield Hallam University, Sheffield, UK.
Graham DaviesInstitute of Pharmaceutical Science, King's College London, London, UK.
Heather GageDepartment of Health Economics, University of Surrey, Guildford, UK.
Chakravarthi RajkumarUniversity Hospitals-Sussex NHS Trust, Brighton, UK.
University Hospitals Sussex NHS Foundation Trust · GBKing's College London · GBErasmus MC · NLImperial College London · GBKingston University · GBSheffield Hallam University · GBSt Thomas' Hospital · GBUniversity of Surrey · GBUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication-related harm (MRH) is an escalating global challenge especially among older adults. The period following hospital discharge carries high-risk for MRH due to medication discrepancies, limited patient/carer education and support, and poor communication between hospital and community professionals. Discharge Medical Service (DMS), a newly introduced NHS scheme, aims to reduce post-discharge MRH through an electronic communication between hospital and community pharmacists. Our study team has previously developed a risk-prediction tool (RPT) for MRH in the 8-weeks period post discharge from a UK hospital cohort of 1280 patients. In this study, we aim to find out if a Medicines Management Plan (MMP) linked to the DMS is more effective than the DMS alone in reducing rates of MRH.

methodUsing a randomized control trial design, 682 older adults ≥ 65 years due to be discharged from hospital will be recruited from 4 sites. Participants will be randomized to an intervention arm (individualised medicine management plan (MMP) plus DMS) or a control arm (DMS only) using a 1:1 ratio stratification. Baseline data will include patients' clinical and social demographics, and admission and discharge medications. At 8-weeks post-discharge, a telephone interview and review of GP records by the study pharmacist will verify MRH in both arms. An economic and process evaluation will assess the cost and acceptability of the study methods. DATA ANALYSIS: Univariate analysis will be done for baseline variables comparing the intervention and control arms. A multivariate logistic regression will be done incorporating these variables. Economic evaluation will compare the cost-of-service use among the study arms and modelled to provide national estimates. Qualitative data from focus-group interviews will explore practitioners' understanding, and acceptance of the MMP, DMS and the RPT.

conclusionThis study will inform the use of an objective, validated RPT for MRH among older adults after hospital discharge, and provide a clinical, economic, and service evaluation of a specific medicines management plan alongside the DMS in the National Health Service (UK).

Indexed as

AftercarePatient DischargeAgedHospitalizationHospitalsHumansState MedicineCostDischargeHarmHospitalMedicationModelOlder peoplePredictionRisk

Identifiers

PMID36368938
PMCPMC9652884
OpenAlexW4308914217

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.