Evidence map›Paper›PMID 28176925›Full record

ArticlePatient preference and adherence2017

Influence of medication risks and benefits on treatment preferences in older patients with multimorbidity.

Gillian E Caughey, Kirsty Tait, Agnes I Vitry, Sepehr Shakib

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 6 pooled it
1.2field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 6 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Communication Processes Related to Decision-Making in Medication Management Between Healthcare Providers, Older People and Their Carers: A Systematic Review.Health expectations : an international journal of public participation in health care and health policy · 2025
    Pooled it
  3. Pooled it
  4. Patient-Reported Questionnaires to Identify Adverse Drug Reactions: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Navigating Medication Risk in the ED: Communication Preferences of Older Adults Regarding Deprescribing.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
    Article
  8. Should antidepressants be prescribed simply if it is the patient's preference? Why NICE guidelines must be revised.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
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

4 authors at 3 institutions in 1 country.

Gillian E CaugheyQuality Use of Medicines and Pharmacy Research Centre, Sansom Institute for Health Research, School of Pharmacy and Medical Sciences, University of South Australia; Department of Clinical Pharmacology, Royal Adelaide Hospital.
Kirsty TaitSchool of Pharmacy and Medical Sciences, University of South Australia.
Agnes I VitrySchool of Pharmacy and Medical Sciences, University of South Australia.
Sepehr ShakibDepartment of Clinical Pharmacology, Royal Adelaide Hospital; Discipline of Pharmacology, School of Medicine, University of Adelaide, North Terrace, Adelaide, SA, Australia.
University of South Australia · AUSouth Australian Health and Medical Research Institute · AUUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimorbidity is associated with use of multiple medicines, increased risk of adverse events and treatment conflicts. This study aimed to examine how older patients with multimorbidity and clinicians balance the benefits and harms associated with a medication and in the presence of competing health outcomes. Interviews were conducted with 15 participants aged ≥65 years with 2 or more chronic conditions. Three clinical scenarios were presented to understand patient preference to take a medicine according to i) degree of benefit, ii) type of adverse event and impact on daily living and iii) influence of comorbid conditions as competing health outcomes. Semi-structured interviews were also conducted with participants (n=15) and clinicians (n=5) to understand patient preferences and treatment decisions, in the setting of multimorbidity. The median age of participants was 79 years, 55% had 5 or more conditions and 47% took 8 or more medicines daily. When the level of benefit of the medicine ranged from 14% to 70%, 80% of participants chose to take the medicine, but when adverse effects were present, this was reduced to 0-33% depending upon impact on daily activities. In the presence of competing health outcomes, 13%-26% of patients chose to take the medicine. Two-thirds of patients reported that their doctor respects and considers their preferences and discussed medication benefits and harms. Interviews with clinicians showed that their overall approach to treatment decision-making for older individuals with multimorbidity was based upon 2 main factors, the patients' prognosis and their preferences. The degree of benefit gained was not the driver of patients' preference to take a medicine; rather, this decision was influenced by type and severity of adverse effects. Inclusion of patient preferences in the setting of risks and benefits of medicines with consideration and prioritization of competing health outcomes may result in improved health outcomes for people with multimorbidity.

Indexed as

comorbiditygeriatricsmedicinesmultimorbiditypatient decision-makingpatient preference

Identifiers

PMID28176925
PMCPMC5268332
OpenAlexW2581618119

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.