Evidence map›Paper›PMID 26510730›Full record

ArticleBMJ open2015

Multimorbidity in primary care: protocol of a national cross-sectional study in Switzerland.

Anouk Déruaz-Luyet, A Alexandra N'Goran, Ryan Tandjung, Peter Frey, Andreas Zeller, Dagmar M Haller, Thomas Rosemann, Bernard Burnand, Patrick Bodenmann, Nicolas Senn and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  12. Assessing the Burden of Treatment.Journal of general internal medicine · 2017
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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

12 authors at 6 institutions in 1 country.

Anouk Déruaz-LuyetInstitute of Family Medicine, University of Lausanne, Lausanne, Vaud, Switzerland.
A Alexandra N'GoranInstitute of Family Medicine, University of Lausanne, Lausanne, Vaud, Switzerland.
Ryan TandjungInstitute of Primary Care, University of Zürich, Zürich, Switzerland.
Peter FreyInstitute of Primary Care at the University of Berne (BIHAM), University of Berne, Berne, Switzerland.
Andreas ZellerCentre for Primary Health Care, University of Basel, Basel, Switzerland.
Dagmar M HallerPrimary Care Unit, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Thomas RosemannInstitute of Primary Care, University of Zürich, Zürich, Switzerland.
Bernard BurnandInstitute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Vaud, Switzerland.
Patrick BodenmannDepartment of Ambulatory Care and Community Medicine, Lausanne University Hospital, Lausanne, Vaud, Switzerland.
Nicolas SennDepartment of Ambulatory Care and Community Medicine, Lausanne University Hospital, Lausanne, Vaud, Switzerland.
Daniel WidmerInstitute of Family Medicine, University of Lausanne, Lausanne, Vaud, Switzerland.
Lilli HerzigInstitute of Family Medicine, University of Lausanne, Lausanne, Vaud, Switzerland.
University of Lausanne · CHUniversity of Zurich · CHInstitute of Social and Preventive Medicine · CHUniversity of Basel · CHUniversity of Bern · CHUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWith the ageing of the population and the general improvement of care, an increasing number of people are living with multiple chronic health conditions or 'multimorbidity'. Multimorbidity often implies multiple medical treatments. As a consequence, the risk of adverse events and the time spent by patients for their treatments increase exponentially. In many cases, treatment guidelines traditionally defined for single conditions are not easily applicable. Primary care for individuals with multimorbidity requires complex patient-centred care and good communication between the patient and the general practitioner (GP). This often includes prioritising among the different chronic conditions. METHODS AND ANALYSIS: The main objectives of this study are to describe the burden related to multimorbidity (disease-related burden and burden of treatment) in primary care and to identify the factors influencing it. Other objectives include evaluating patients' perception of treatment burden and quality of life, assessing factors influencing that perception, and investigating prioritisation in the management of multimorbidity from the perspectives of GPs and patients. For this cross-sectional study, patient enrolment will take place in GP's private practices across Switzerland. A convenient sample of 100 GPs will participate; overall, 1000 patients with at least three chronic health conditions will be enrolled. Data will be collected as paper-based questionnaires for GPs and delayed telephone interview questionnaires for patients. GPs will provide demographic and practice-related data. In addition, each GP will complete a paper-based questionnaire for each patient that they enrol. Each patient will complete a telephone interview questionnaire. ETHICS AND DISSEMINATION: This study has been approved by the research ethics committee of Canton Vaud, Switzerland (Protocol 315/14). The results of the study will be reported in international peer-reviewed journals.

Indexed as

ComorbidityCost of IllnessDisease ManagementGeneral PracticePrimary Health CareAdolescentAdultChronic DiseaseCommunicationCross-Sectional StudiesGeneral PractitionersHumansPatient-Centered CarePhysician-Patient RelationsPractice Patterns, Physicians'Research Designchronic diseasecross-sectional studymultimorbidityPRIMARY CAREprioritization of care

Identifiers

PMID26510730
PMCPMC4636659
OpenAlexW2283931288

What OpenQuestion holds

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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.