Evidence map›Paper›PMID 31349584›Full record

ArticlePharmacy (Basel, Switzerland)2019

Person-Centred Care Including Deprescribing for Older People.

Heather Smith, Karen Miller, Nina Barnett, Lelly Oboh, Emyr Jones, Carmel Darcy, Hilary McKee, Jayne Agnew, Paula Crawford

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

9 authors.

Heather SmithLeeds Teaching Hospitals NHS Trust, Leeds LS9 7TF, UK. heather.smith11@nhs.net.ORCID 0000-0001-9740-4594
Karen MillerSouth Eastern Health and Social Care Trust, Belfast BT16 1RH, UK.
Nina BarnettLondon North West University Healthcare NHS Trust, London, HA1 3UJ, UK.
Lelly ObohGuys and St Thomas NHS Trust (Community Health Services), London SE1 7EH, UK.
Emyr JonesCardiff and Vale University Health Board, Cardiff CF14 4XW, UK.
Carmel DarcyWestern Health and Social Care Trust, Londonderry BT47 6SB, UK.
Hilary McKeeNorthern Health and Social Care Trust, Antrim BT41 2RL, UK.
Jayne AgnewSouthern Health and Social Care Trust, Portadown BT63 5QQ, UK.
Paula CrawfordBelfast Health and Social Care Trust, Belfast BT9 7AB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is concern internationally that many older people are using an inappropriate number of medicines, and that complex combinations of medicines may cause more harm than good. This article discusses how person-centred medicines optimisation for older people can be conducted in clinical practice, including the process of deprescribing. The evidence supports that if clinicians actively include people in decision making, it leads to better outcomes. We share techniques, frameworks, and tools that can be used to deprescribe safely whilst placing the person's views, values, and beliefs about their medicines at the heart of any deprescribing discussions. This includes the person-centred approach to deprescribing (seven steps), which incorporates the identification of the person's priorities and the clinician's priorities in relation to treatment with medication and promotes shared decision making, agreed goals, good communication, and follow up. The authors believe that delivering deprescribing consultations in this manner is effective, as the person is integral to the deprescribing decision-making process, and we illustrate how this approach can be applied in real-life case studies.

Indexed as

deprescribingelderlymedicinesmultimorbiditypolypharmacy

Identifiers

PMID31349584
PMCPMC6789714

What OpenQuestion holds

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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.