Evidence map›Paper›PMID 30161150›Full record

ArticlePloS one2018

Patients with somatoform disorders: More frequent attendance and higher utilization in primary Out-of-Hours care?

Ruediger Leutgeb, Sarah Berger, Joachim Szecsenyi, Gunter Laux

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 25 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

4 authors at 1 institution in 1 country.

Ruediger LeutgebUniversity Hospital Heidelberg, Department of General Practice and Health Services Research, Heidelberg, Germany.ORCID 0000-0002-9651-3526
Sarah BergerUniversity Hospital Heidelberg, Department of General Practice and Health Services Research, Heidelberg, Germany.
Joachim SzecsenyiUniversity Hospital Heidelberg, Department of General Practice and Health Services Research, Heidelberg, Germany.
Gunter LauxUniversity Hospital Heidelberg, Department of General Practice and Health Services Research, Heidelberg, Germany.
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne significant health policy challenge in many European countries at present is developing strategies to deal with the increase in patient attendance at Out-of-Hours care (OOHC), whether this is at OOHC-Centres in primary care settings or hospital emergency departments (ED). FAs (FAs) presenting in OOHC are a known challenge and previous studies have shown that FAs present more often with psychological problems and psychiatric comorbidities rather than severe physical complaints. FAs may be also contributing to the rising workload in OOHC-Centres in primary care. The aim of this study was to determine attendance frequencies and health problem presentation patterns for patients with and without somatoform disorders (ICD-10 F45 diagnoses) in OOHC-Centres in primary care. Some of these somatoform disorders may have a psychiatric character. Moreover, we wanted to compare health care utilization patterns (pharmacotherapy and hospitalizations) between these patients groups.

methodsRoutine OOHC data from a large German statutory health insurance company in the federal state of Baden-Wuerttemberg were evaluated. 3,813,398 health insured persons were included in the data set from 2014. The data were initially made available for our study group in order to evaluate a comprehensive evaluation programme in German primary care, the "Hausarztzentrierte Versorgung" (HZV), loosely translated as "family doctor coordinated care". We used the ICD-10 codes F45.0-F45.9 in regular care to identify patients with somatoform disorders and compared their health care utilization patterns (attendance rates, diagnoses, prescriptions, hospitalization rates) in OOHC to patients without somatoform disorders. Attendance rates were calculated with multivariable regression models in order to adjust for age, gender, comorbidities and for participation in the HZV intervention.

results350,528 patients (9.2%) of the 3,813,398 insured persons had an F45-diagnosis. In comparison with the whole study-sample, patients with an F45-diagnosis were on average seven years older (51.7 vs. 44.0 years; p<0,0001) and the percentage of women was significantly higher (70.1% vs 53.3%; p<0,0001). In OOHC, as opposed to normal office hours, the adjusted rate of patients with an F45-diagnosis was 60.6% higher (adjusted for age, gender and co-morbidity) than in the general study-sample. Accordingly, in OOHC, prescriptions for antidepressants, hypnotics, anxiolytics but also opioids were significantly higher than in the general study population i.e. those without F45- diagnoses. However, an F45 diagnosis was only made in 3.45% of all F45 patients seen in OOHC in 2014.

conclusionsPatients with somatoform disorders were more FAs in both regular office hours and in OOHC in primary care settings. In OOHC, they are normally not identified as such because the somatoform illness is secondary to other acutely presenting symptoms such as pain. While it is acknowledged that it is difficult to make an exact diagnosis in this complex group of somatoform disorders in an OOHC setting, it is still important to develop continuing education programmes for medical staff working in OOHC, to support effective recognition and response to the specific needs of this complex patient group.

Indexed as

After-Hours CareAgedEmergency Service, HospitalFamily PracticeFemaleGermanyHospitalizationHumansInsurance, HealthMaleMiddle AgedPatient-Centered CarePrimary Health CareSomatoform Disorders

Identifiers

PMID30161150
PMCPMC6116940
OpenAlexW2889484080

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.