Evidence map›Paper›PMID 29034865›Full record

Observational studyDeutsches Arzteblatt international2017

Patients Attending Emergency Departments.

Martin Scherer, Dagmar Lühmann, Agata Kazek, Heike Hansen, Ingmar Schäfer

Abstract readObservational Study
In one paragraph

Observational study in Deutsches Arzteblatt international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

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

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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Martin SchererDepartment of General Practice/Primary Care, Hamburg University Medical School, Hamburg-Eppendorf.
Dagmar Lühmann
Agata Kazek
Heike Hansen
Ingmar Schäfer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of patients in emergency departments has risen steadily in recent years, with a particular increase in patients not requiring urgent treatment. The aim of this study is to characterize this group of patients with respect to their sociodemographic features, health status, and reasons for attending an emergency department.

methodsPiNo Nord is a cross-sectional observational study representing two full working weeks in five different hospitals. Patients were questioned in personal interviews, and medical diagnoses were documented. The data were analyzed with multivariate logistic regressions in mixed multilevel models. Predictors for the subjectively perceived treatment urgency were identified by stepwise backward selection.

resultsThe 1175 patients questioned had an average age of 41.8 years and 52.9% were male. 54.7% said the degree of their treatment urgency was low. 41.3% had visited the emergency department on their own initiative, 17.0% on the advice or referral of their primary care physician, and 8.0% on the advice or referral of a specialist. The strongest predictors for low subjective treatment urgency were musculoskeletal trauma (odds ratio [OR] 2.18), skin conditions (OR 2.15), and the momentary unavailability of a primary care physician (OR 1.70).

conclusionMore than half of the patients do not think their condition requires urgent treatment and thus do not meet the definition of a medical emergency. Patients' reasons for visiting the emergency department are varied; aside from the treatment urgency of the health condition itself, the reason may lie in perceived structural circumstances and individual preferences.

Indexed as

Health StatusAdultCross-Sectional StudiesEmergenciesEmergency Medical ServicesEmergency Service, HospitalFemaleGermanyHumansMale

Identifiers

PMID29034865
PMCPMC5651827

What OpenQuestion holds

Textmetadata
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.