Evidence map›Paper›PMID 42012752›Full record

ArticleInternational journal of clinical pharmacy2026

Perspectives on shared decision making related to medications from patients with multiple long-term conditions transitioning from hospital to home: a qualitative study.

Mikas Glatkauskas, Malin Olsen Syversen, Liv Mathiesen, Michael Scott, Karin Svensberg, Berit Gallefoss Denstad, Marianne Lea

Abstract read
In one paragraph

Article in International journal of clinical pharmacy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Mikas GlatkauskasResearch Group for Clinical Pharmacy, Department of Pharmacy, Section for Pharmaceutics and Social Pharmacy, University of Oslo, Oslo, Norway. mikas.glatkauskas@farmasi.uio.no.
Malin Olsen SyversenResearch Group for Clinical Pharmacy, Department of Pharmacy, Section for Pharmaceutics and Social Pharmacy, University of Oslo, Oslo, Norway.
Liv MathiesenResearch Group for Clinical Pharmacy, Department of Pharmacy, Section for Pharmaceutics and Social Pharmacy, University of Oslo, Oslo, Norway.
Michael ScottMedicines Optimization Innovation Centre, Antrim Area Hospital Site, Antrim, Northern Ireland, UK.
Karin SvensbergDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
Berit Gallefoss DenstadUser Representative, Lillehammer, Norway.
Marianne LeaResearch Group for Clinical Pharmacy, Department of Pharmacy, Section for Pharmaceutics and Social Pharmacy, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionShared decision making is particularly important for patients with multiple long-term conditions due to the nature of long-term treatments and frequent changes in medication regimens. However, the complexity of the medication regimens could exclude these vulnerable patients from shared decision making. There is little knowledge about how patients with multiple long-term conditions experience and perceive shared decision making.

aimThe aim was to explore the perspectives and experiences of patients with multiple long-term conditions regarding shared decision making related to medications before, during and after a hospital stay.

methodSemi-structured interviews with 21 patients and three next of kin were conducted. Patients ≥ 18 years, usually living at home, on at least four medications for at least two separate conditions were included. These patients were purposively sampled from two geriatric wards and one internal medicine ward at a university hospital in Norway and interviewed approximately 14 days post hospital discharge. The inclusion and interviews lasted from December 2022 to February 2024. A semi-structured interview guide was used, and the qualitative data were analyzed using directed content analysis guided by the three-talk model developed by Elwyn et al. from 2017.

resultsPatients reported not being invited to be part of the shared decision-making process and perceived their limited medical knowledge as a barrier to being invited to participate. They reflected on themselves being primarily focused on single details regarding one medication option they had received. Furthermore, they were not encouraged by the healthcare professionals to discuss and compare different medication options. Both patients and next of kin described an expectation that decisions being made by healthcare professionals would be accepted although the patient did not necessarily understand the treatment plan adequately. Several patients reported that healthcare professional led decisions left little to no room for further discussion and that medication decisions and patient health goals were almost solely in the hands of the healthcare professional. Although most patients trusted the healthcare professional to act in their best interests, this reliance resulted in further disengagement from their own treatment.

conclusionPatients with multiple long-term conditions were in general unfamiliar with and uninvolved in shared decision making related to medications. Additionally, the patients reflected on a lack of invitation to team talk which resulted in limited patient involvement both in option and decision talk.

Indexed as

Decision Making, SharedMultiple Chronic ConditionsPatient ParticipationPatient TransferAgedAged, 80 and overFemaleHumansMaleMiddle AgedNorwayPatient DischargeQualitative ResearchDecision makingMedication therapy managementMultimorbidityPatient-centered careShared

Identifiers

PMID42012752
PMCPMC13368897

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.