Evidence map›Paper›PMID 39342121›Full record

ReviewBMC primary care2024

Treatment burden in multimorbidity: an integrative review.

Ji Eun Lee, Jihyang Lee, Rooheui Shin, Oonjee Oh, Kyoung Suk Lee

Abstract readReview
In one paragraph

Review in BMC primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Ji Eun LeeCollege of Nursing, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Jihyang LeeCollege of Nursing, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Rooheui ShinCollege of Nursing, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Oonjee OhSchool of Nursing, University of Pennsylvania, Philadelphia, PA, USA.
Kyoung Suk LeeCollege of Nursing, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. kyounglee@snu.ac.kr.

Funding

National Research Foundation of Korea grants 2021R1C1C100849812
6 · The paper itself

Abstract

backgroundPeople living with multimorbidity experience increased treatment burden, which can result in poor health outcomes. Despite previous efforts to grasp the concept of treatment burden, the treatment burden of people living with multimorbidity has not been thoroughly explored, which may limit our understanding of treatment burden in this population. This study aimed to identify the components, contributing factors, and health outcomes of treatment burden in people with multiple diseases to develop an integrated map of treatment burden experienced by people living with multimorbidity. The second aim of this study is to identify the treatment burden instruments used to evaluate people living with multimorbidity and assess the comprehensiveness of the instruments.

methodsThis integrative review was conducted using the electronic databases MEDLINE, EMBASE, CINAHL, and reference lists of articles through May 2023. All empirical studies published in English were included if they explored treatment burden among adult people living with multimorbidity. Data extraction using a predetermined template was performed.

resultsThirty studies were included in this review. Treatment burden consisted of four healthcare tasks and the social, emotional, and financial impacts that these tasks imposed on people living with multimorbidity. The context of multimorbidity, individual's circumstances, and how available internal and external resources affected treatment burden. We explored that an increase in treatment burden resulted in non-adherence to treatment, disease progression, poor health status and quality of life, and caregiver burden. Three instruments were used to measure treatment burden in living with multimorbidity. The levels of comprehensiveness of the instruments regarding healthcare tasks and impacts varied. However, none of the items addressed the healthcare task of ongoing prioritization of the tasks.

conclusionsWe developed an integrated map illustrating the relationships between treatment burden, the context of multimorbidity, people's resources, and the health outcomes. None of the existing measures included an item asking about the ongoing process of setting priorities among the various healthcare tasks, which highlights the need for improved measures. Our findings provide a deeper understanding of treatment burden in multimorbidity, but more research for refinement is needed. Future studies are also needed to develop strategies to comprehensively capture both the healthcare tasks and impacts for people living with multimorbidity and to decrease treatment burden using a holistic approach to improve relevant outcomes.

trial registrationDOI: https://doi.org/10.17605/OSF.IO/UF46V.

Indexed as

Cost of IllnessMultimorbidityHumansQuality of LifeAdherenceComorbidityHealthcare tasksMultimorbidityTreatment burden

Identifiers

PMID39342121
PMCPMC11438421

What Socratic 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 Socratic graph.