Evidence map›Paper›PMID 31049405›Full record

ArticleBJGP open2019

Family practitioners' top medical priorities when managing patients with multimorbidity: a cross-sectional study.

Lilli Herzig, Yolanda Mueller, Dagmar M Haller, Andreas Zeller, Stefan Neuner-Jehle, Anouk Déruaz-Luyet, Christine Cohidon, Sven Streit, Bernard Burnand, Jean-Christophe Zuchuat

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJGP open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
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

10 authors at 5 institutions in 2 countries.

Lilli HerzigChief of Research Department, Department of Family Medicine, General Medicine and Public Health Centre, University of Lausanne, Lausanne, Switzerland.
Yolanda MuellerChief of Research Department, Department of Family Medicine, General Medicine and Public Health Care Centre, University of Lausanne, Lausanne, Switzerland.
Dagmar M HallerChief of Research Department, Primary Care Unit, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Andreas ZellerChief of Institution, Centre of Primary Health Care, University of Basel, Basel, Switzerland.
Stefan Neuner-JehleResearch Collaborator, Institute of Primary Care, University of Zürich, Zürich, Switzerland.
Anouk Déruaz-LuyetProjects Chief, Department of Family Medicine, General Medicine and Public Health Centre, University of Lausanne, Lausanne, Switzerland.
Christine CohidonResearch Collaborator, Institute of Primary Care, Department of Family Medicine, General Medicine and Public Health Centre, University of Lausanne, Lausanne, Switzerland.
Sven StreitResearch Collaborator, Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Bernard BurnandHead of Department, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland.
Jean-Christophe ZuchuatStatistician, Department of Family Medicine, General Medicine and Public Health Centre, University of Lausanne, Lausanne, Switzerland.
University of Lausanne · CHPrimary Health Care · QAInstitute of Social and Preventive Medicine · CHUniversity of Basel · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManaging multiple chronic and acute conditions in patients with multimorbidity requires setting medical priorities. How family practitioners (FPs) rank medical priorities between highly, moderately, or rarely prevalent chronic conditions (CCs) has never been described. The authors hypothesised that there was no relationship between the prevalence of CCs and their medical priority ranking in individual patients with multimorbidity.

aimTo describe FPs' medical priority ranking of conditions relative to their prevalence in patients with multimorbidity. DESIGN &

settingThis cross-sectional study of 100 FPs in Switzerland included patients with ≥3 CCs on a predefined list of 75 items from the International Classification of Primary Care 2 (ICPC-2); other conditions could be added. FPs ranked all conditions by their medical priority.

methodPriority ranking and distribution were calculated for each condition separately and for the top three priorities together.

resultsThe sample contained 888 patients aged 28-98 years (mean 73), of which 48.2% were male. Included patients had 3-19 conditions (median 7; interquantile range [IQR] 6-9). FPs used 74/75 CCs from the predefined list, of which 27 were highly prevalent (>5%). In total, 336 different conditions were recorded. Highly prevalent CCs were only the top medical priority in 66%, and the first three priorities in 33%, of cases. No correlation was found between prevalence and the ranking of medical priorities.

conclusionFPs faced a great diversity of different conditions in their patients with multimorbidity, with nearly every condition being found at nearly every rank of medical priority, depending on the patient. Medical priority ranking was independent of the prevalence of CCs.

Indexed as

chronic diseaseepidemiologymultimorbidityprimary careprioritisation

Identifiers

PMID31049405
PMCPMC6480857
OpenAlexW2913761479

What OpenQuestion 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 OpenQuestion graph.