Evidence map›Paper›PMID 31783832›Full record

ArticleBMC public health2019

Behavioral health risk factor profiles in general hospital patients: identifying the need for screening and brief intervention.

Jennis Freyer-Adam, Florian Noetzel, Sophie Baumann, Ali Alexander Aghdassi, Ulrike Siewert-Markus, Beate Gaertner, Ulrich John

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01291693 (Testing Delivery Channels of Brief Motivational Alcohol Intervention Among General Hospital Inpatients With Risky Drinking), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 22% 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.

NCT01291693 phase2 / phase3completednot on this map

Testing Delivery Channels of Brief Motivational Alcohol Intervention Among General Hospital Inpatients With Risky Drinking: Personal Counseling Versus Computer-generated Feedback Letters

TypeinterventionalSponsorUniversity Medicine GreifswaldRan2011 to 2014Enrolled975ConditionsHazardous DrinkingArmsPersonal Counseling, Computer-generated feedback letters
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 13 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

7 authors at 2 institutions in 1 country.

Jennis Freyer-AdamInstitute for Medical Psychology, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany. freyer@uni-greifswald.de.ORCID http://orcid.org/0000-0002-4827-8760
Florian NoetzelClinic and Policlinic of Urology, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Sophie BaumannGerman Center for Cardiovascular Research, Site Greifswald, Fleischmannstr. 42-44, 17475, Greifswald, Germany.
Ali Alexander AghdassiDepartment of Internal Medicine A, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
Ulrike Siewert-MarkusInstitute for Medical Psychology, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany.
Beate GaertnerDepartment of Epidemiology and Health Monitoring, Robert Koch Institute Berlin, General-Pape-Str. 62-66, 12101, Berlin, Germany.
Ulrich JohnGerman Center for Cardiovascular Research, Site Greifswald, Fleischmannstr. 42-44, 17475, Greifswald, Germany.
Universitätsmedizin Greifswald · DERobert Koch Institute · DE

Funding

Deutsche Krebshilfe 108376, 109737, 110676, 110543, 111346Deutsche Krebshilfe 70110543
6 · The paper itself

Abstract

backgroundLittle is known about the clustering of behavioral health risk factors (HRFs), namely the occurrence of 16 specific combinations of tobacco smoking, at-risk alcohol use, overweight and physical inactivity in general hospital patients. Furthermore, social inequalities in HRFs, health and life expectancy are a major concern in public health. In order to establish the need for screening and intervention in general hospital care, the study aimed to determine the co-occurrence of HRFs in patients in four medical departments, and to investigate differences by gender, age and socio-economic characteristics.

methodsOver 17 months, a systematic multiple HRF screening was conducted at one general hospital in northeastern Germany. In total, 6251 18-64 year old patients (92% of eligibles) participated. Proportions and confidence intervals were calculated for all 16 HRF profiles stratified by department, gender, age group, school education, and employment status.

resultsIn total, 92.2% of the participants (58.6% male) reported ≥1 HRF, and 65.7% ≥2 HRFs. Men (71.2%), patients aged 35-49 (67.9%) and 50-64 years (69.5%), lower educated (79.0%), and unemployed (77.8%) patients had larger proportions of ≥2 HRFs than their counterparts. In all departments, the most common HRF profiles included overweight. HRF profiles that included alcohol and/ or smoking were more common in ear-nose-throat and trauma surgery than in internal medicine and general surgery patients. Men had higher rates concerning almost all HRF profiles including ≥2 HRFs and alcohol; women concerning profiles that included ≤2 HRFs and inactivity. In older patients, profiles with ≥2 HRFs including overweight; and in younger patients, profiles with smoking and/or alcohol were more common. In lower educated patients, profiles with ≥2 HRFs including inactivity; and in higher educated patients profiles with ≤2 HRFs including alcohol were more common. Compared to others, unemployed patients had higher rates of profiles with ≥3 HRFs including smoking.

conclusionsTwo in three patients require interventions targeting two or more HRFs. The findings help to develop screening and brief intervention for patients with specific health risk profiles, that can reach most patients, including those most in need and those most hard to reach, with socio-economically disadvantaged people in particular. REGISTRY: clinicaltrials.gov: NCT01291693.

Indexed as

AdolescentAdultAlcohol DrinkingFemaleGermanyHospitals, GeneralHumansInpatientsMaleMass ScreeningMental DisordersMiddle AgedOverweightRisk AssessmentRisk FactorsSedentary BehaviorAlcoholChronic diseasesGeneral hospitalHealth behaviorsHealth careOverweightPhysical inactivityPreventionRisk factorsSmoking

Identifiers

PMID31783832
PMCPMC6884835
OpenAlexW2990557976

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.