Evidence map›Paper›PMID 33875419›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2021

Treatment burden for patients with multimorbidity: cross-sectional study with exploration of a single-item measure.

James E Morris, Paul J Roderick, Scott Harris, Guiqing Yao, Sam Crowe, David Phillips, Polly Duncan, Simon Ds Fraser

Abstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
–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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Influence of health-system change on treatment burden: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Pooled it
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  5. Digital health technology burden and frustration among patients with multimorbidity.Journal of the American Medical Informatics Association : JAMIA · 2026
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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

8 authors.

James E MorrisSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton.
Paul J RoderickSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton.
Scott HarrisSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton.
Guiqing YaoDepartment of Health Sciences, University of Leicester, Leicester.
Sam CroweChristchurch and Poole Council.
David PhillipsPublic Health Dorset, Dorchester.
Polly DuncanCentre for Academic Primary Care, University of Bristol, Bristol.
Simon Ds FraserSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment burden is the effort required of patients to look after their health, and the impact this has on their wellbeing. Quantitative data on treatment burden for patients with multimorbidity are sparse, and no single-item treatment burden measure exists.

aimTo determine the extent of, and associations with, high treatment burden among older adults with multimorbidity, and to explore the performance of a novel single-item treatment burden measure. DESIGN AND

settingCross-sectional postal survey via general practices in Dorset, UK.

methodPatients ≥55 years, living at home, with three or more long-term conditions (LTCs) were identified by practices. Treatment burden was measured using the Multimorbidity Treatment Burden Questionnaire. Data collected were sociodemographics, LTCs, medications, and characteristics including health literacy and financial resource. Associations with high treatment burden were investigated via logistic regression. Performance of a novel single-item measure of treatment burden was also evaluated.

resultsA total of 835 responses were received (response rate 42%) across eight practices. Patients' mean age was 75 years, 55% were female (

conclusionHigh treatment burden was relatively common, underlining the importance of minimising avoidable burden. More vulnerable patients, with less capacity to manage, are at greater risk of being overburdened. Further development of a single-item treatment burden measure is required.

Indexed as

General PracticeMultimorbidityAgedCross-Sectional StudiesFemaleHumansSelf ReportSurveys and Questionnairescross-sectional studiesgeneral practicemultimorbiditytreatment burden

Identifiers

PMID33875419
PMCPMC8074644

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Registered trials

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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.