Evidence map›Paper›PMID 30428839›Full record

Observational studyBMC geriatrics2018

Sedative-hypnotic initiation and renewal at discharge in hospitalized older patients: an observational study.

Elsa Bourcier, Amandine Baptiste, Adrien Borowik, Lucas Zerbib, Dominique Bonnet-Zamponi, Florence Tubach, Christine Fernandez, Patrick Hindlet

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC geriatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Observational
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

8 authors at 4 institutions in 1 country.

Elsa BourcierSorbonne Université, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique, IPLESP UMR-S1136, F-75012, Paris, France. elsa.bourcier@aphp.fr.
Amandine BaptisteAP-HP, Hôpital Pitié-Salpêtrière, Département Biostatistique Santé Publique et Information Médicale, Centre de pharmacoépidémiologie (Céphépi), INSERM, CIC-P 1421, 75013, Paris, France.
Adrien BorowikAssistance Publique - Hôpitaux de Paris, Hôpital Saint-Antoine, Service de Pharmacie, 184, rue du Faubourg Saint Antoine, F-75012, Paris, France.
Lucas ZerbibAssistance Publique - Hôpitaux de Paris, Hôpital Saint-Antoine, Service de Pharmacie, 184, rue du Faubourg Saint Antoine, F-75012, Paris, France.
Dominique Bonnet-ZamponiAP-HP, Hôpital Pitié-Salpêtrière, Centre de pharmacoépidémiologie (Céphépi), INSERM, UMR 1123, CIC-P 1421, 75013, Paris, France.
Florence TubachSorbonne Université, Faculté de médecine Sorbonne Université, AP-HP, Hôpital Pitié-Salpêtrière, Département Biostatistique Santé Publique et Information Médicale, Centre de pharmacoépidémiologie (Céphépi), INSERM, UMR 1123, CIC-P 1421, 75013, Paris, France.
Christine FernandezSorbonne Université, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique, IPLESP UMR-S1136, F-75012, Paris, France.
Patrick HindletSorbonne Université, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique, IPLESP UMR-S1136, F-75012, Paris, France.
Inserm · FRSorbonne Université · FRHôpital Saint-Antoine · FRInstitut Galien Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSedative-hypnotics (SHs) are widely used in France but there are no available data addressing their prescription specifically in hospitalized older patients. The objective is thus to determine the cumulative incidence of sedative-hypnotic (SH) medications initialized during a hospital stay of older patients, the proportion of SH renewal at discharge among these patients and to study associated risk factors.

methodsWe conducted a retrospective observational study in six internal medicine units and six acute geriatric units in eight hospitals (France). We included 1194 inpatients aged 65 and older without SH medications prior to hospitalization. Data were obtained from patients' electronic pharmaceutical records. Primary outcome was the cumulative incidence of SH initiation in the study units. Secondary outcomes were the proportion of SH renewal at discharge and risk factors for SH initiation and renewal at discharge (patient characteristics, hospital organization). A Cox regression model was used to study risk factors for SH initiation. A mixed effects logistic regression was used to study risk factors for SH renewal at discharge.

resultsSH initiation occurred in 21.5% of participants 20 days after admission. SH renewal at discharge occurred in 38.7% of patients who had initiated it during their stay and were discharged home and in 56.0% of patients discharged to rehabilitation facilities. Neither patients' characteristics nor hospital organization patterns was associated with SH initiation. SH initiation after the first six days after admission was associated with a lower risk of SH renewal in patients discharged to rehabilitation facilities (OR = 0.19, 95% CI: [0.04-0.80]).

conclusionsHospitalization is a period at risk for SH initiation. The implementation of interventions promoting good use of SHs is thus of first importance in hospitals. Specific attention should be paid to patients discharged to rehabilitation facilities.

Indexed as

GeriatricsAgedAged, 80 and overFemaleHospitals, RehabilitationHumansHypnotics and SedativesLength of StayMalePatient DischargePractice Patterns, Physicians'Retrospective StudiesRisk FactorsHypnotics and SedativesHospitalizationInitiationOlder adultsRisk factorsSedative-hypnotics

Identifiers

PMID30428839
PMCPMC6234671
OpenAlexW2901965772

What OpenQuestion holds

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LicenceCC BY
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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.