Evidence map›Paper›PMID 41833542›Full record

ArticleNursing & health sciences2026

The Treatment Burden for Multimorbidity Scale: A Development and Psychometric Validation Study.

Kyoung Suk Lee, Jihyang Lee, Minji Kim, Rooheui Shin

Abstract read
In one paragraph

Article in Nursing & health sciences, 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

4 authors.

Kyoung Suk LeeThe Research Institute of Nursing Science, College of Nursing, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-5083-3743
Jihyang LeeCollege of Nursing, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0000-0001-8918-0754
Minji KimCollege of Nursing, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-1000-7615
Rooheui ShinCollege of Nursing, Seoul National University, Seoul, South Korea.ORCID https://orcid.org/0009-0003-1737-3137

Funding

National Research Foundation of Korea 2021R1C1C100849813
6 · The paper itself

Abstract

Existing instruments have limitations in comprehensively capturing multimorbidity treatment burden. This study aimed to develop and validate a new measure, the Treatment Burden for Multimorbidity Scale (TBMS). We developed preliminary items based on the literature review and existing instruments. Content validity was evaluated with experts and patients. A longitudinal survey design was used for psychometric testing, with data collected at baseline (n = 503) and at 6-month follow-up (n = 313). We examined reliability, construct validity, and responsiveness of the TBMS. One item was deleted after the content validity evaluation, resulting in 12 items. Factor analyses revealed two domains (healthcare tasks and impacts) aligned with the conceptual definition. Cronbach's alpha for the total scale was 0.93. TBMS scores significantly correlated with scores of the disease burden, an existing multimorbidity treatment burden measure, and self-care as hypothesized. Changes in TBMS scores over 6 months were associated with changes in self-care, depressive symptoms, physical function, and self-rated health. The TBMS demonstrates sound reliability, validity, and responsiveness, making it a valuable tool for assessing multimorbidity treatment burden in clinical practice.

Indexed as

Cost of IllnessMultimorbidityPsychometricsAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedReproducibility of ResultsSurveys and Questionnairesmultimorbiditypatient‐reported outcomepsychometric evaluationtreatment burden

Identifiers

PMID41833542
PMCPMC12989467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.