Evidence map›Paper›PMID 37217106›Full record

ArticleJournal of clinical epidemiology2023

Scoping review of measures of treatment burden in patients with multimorbidity: advancements and current gaps.

Daniel Mendoza-Quispe, Silvana Perez-Leon, Christoper A Alarcon-Ruiz, Andrea Gaspar, María Sofía Cuba-Fuentes, Joseph R Zunt, Victor M Montori, Juan Carlos Bazo-Alvarez, J Jaime Miranda

Open access · hybridAbstract readScoping Review
In one paragraph

Article in Journal of clinical epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

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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

9 authors at 6 institutions in 4 countries.

Daniel Mendoza-QuispeCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru. Electronic address: daniel.mendoza@upch.pe.
Silvana Perez-LeonCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
Christoper A Alarcon-RuizUnidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.
Andrea GasparSchool of Medicine, University of Washington, Washington, DC, USA.
María Sofía Cuba-FuentesCenter for Research in Primary Health Care, Universidad Peruana Cayetano Heredia, Lima, Peru.
Joseph R ZuntDepartments of Neurology, Global Health, Medicine (Infectious Diseases), and Epidemiology, University of Washington, Seattle, WA, USA.
Victor M MontoriKnowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN 55905, USA.
Juan Carlos Bazo-AlvarezResearch Department of Primary Care and Population Health, University College London, London, UK.
J Jaime MirandaCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru; School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru; The George Institute for Global Health, UNSW, Sydney, Australia.
Universidad Peruana Cayetano Heredia · PEInfectious Disease Research Institute · USMayo Clinic in Florida · USUniversidad San Ignacio de Loyola · PEUniversity College London · GBUniversity of Washington · US

Funding

Using Burden of Treatment as a Clinical Indicator of Barriers to Multimorbidity Management in Peru: A Mixed Methods ApproachR21TW011740 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI CUBA , MARIA SOFIA · 2020 to 2021
$297k
FIC NIH HHS R21 TW011740
6 · The paper itself

Abstract

objectivesTo identify, assess, and summarize the measures to assess burden of treatment in patients with multimorbidity (BoT-MMs) and their measurement properties. STUDY DESIGN AND

settingMEDLINE via PubMed was searched from inception until May 2021. Independent reviewers extracted data from studies in which BoT-MMs were developed, validated, or reported as used, including an assessment of their measurement properties (e.g., validity and reliability) using the COnsensus-based Standards for the selection of health Measurement INstruments.

resultsEight BoT-MMs were identified across 72 studies. Most studies were performed in English (68%), in high-income countries (90%), without noting urban-rural settings (90%). No BoT-MMs had both sufficient content validity and internal consistency; some measurement properties were either insufficient or uncertain (e.g., responsiveness). Other frequent limitations of BoT-MMs included absent recall time, presence of floor effects, and unclear rationale for categorizing and interpreting raw scores.

conclusionThe evidence needed for use of extant BoT-MMs in patients with multimorbidity remains insufficiently developed, including that of suitability for their development, measurement properties, interpretability of scores, and use in low-resource settings. This review summarizes this evidence and identifies issues needing attention for using BoT-MMs in research and clinical practice.

Indexed as

MultimorbidityPatientsHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesChronic diseaseCost of illnessMultimorbidityPatient-reported outcome measuresScoping reviewSurveys and questionnaires

Identifiers

PMID37217106
PMCPMC10529536
OpenAlexW4377141545

What OpenQuestion holds

Textmetadata
LicenceTDM
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.