Evidence map›Paper›PMID 30732604›Full record

ArticleBMC health services research2019

Sharing Frailty-related information in perioperative care: an analysis from a temporal perspective.

Daniel Fürstenau, Claudia Spies, Martin Gersch, Amyn Vogel, Rudolf Mörgeli, Akira-Sebastian Poncette, Ursula Müller-Werdan, Felix Balzer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC health services research, 2019. 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
–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

1 citing paper in PubMed.

  1. Review
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.

Daniel FürstenauDepartment of Information Systems, Freie Universität Berlin, School of Business & Economics, Garystr. 21, 14195, Berlin, Germany.
Claudia SpiesDepartment of Anesthesiology and Operative Intensive Care Medicine, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
Martin GerschDepartment of Information Systems, Freie Universität Berlin, School of Business & Economics, Garystr. 21, 14195, Berlin, Germany.
Amyn VogelDepartment of Information Systems, Freie Universität Berlin, School of Business & Economics, Garystr. 21, 14195, Berlin, Germany.
Rudolf MörgeliDepartment of Anesthesiology and Operative Intensive Care Medicine, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
Akira-Sebastian PoncetteDepartment of Anesthesiology and Operative Intensive Care Medicine, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
Ursula Müller-WerdanCharité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Geriatric Research Group, Reinickendorfer Str. 61, 13347, Berlin, Germany.
Felix BalzerDepartment of Anesthesiology and Operative Intensive Care Medicine, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany. felix.balzer@charite.de.ORCID http://orcid.org/0000-0003-1575-2056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEspecially patients older than 65 years undergoing surgery are prone to develop frailty-related complications that may go far beyond the index hospitalization (e.g., cognitive impairment following postoperative delirium). However, aging-relevant information are currently not fully integrated into hospitals' perioperative processes.

methodsWe introduce a temporal perspective, which focuses on the social construction of time, to better understand existing barriers to the exchange of frailty-related data, targeting complexity research. Our chosen context is perioperative care provided by a tertiary hospital in Germany that has implemented a special track for patients over 65 years old undergoing elective surgery. The research followed a participatory modelling approach between domain and modelling experts with the goal of creating a feedback loop model of the relevant system relationships and dynamics.

resultsThe results of the study show how disparate temporal regimes, understood as frameworks for organizing actions in the light of time constraints, time pressure, and deadlines, across different clinical, ambulant, and geriatric care sectors create disincentives to cooperate in frailty-related data exchanges. Moreover, we find that shifting baselines, meaning continuous increases in cost and time pressure in individual sectors, may unintentionally reinforce - rather than discourage - disparate temporal regimes.

conclusionsTogether, these results may (1) help to increase awareness of the importance of frailty-related data exchanges, and (2) impel efforts aiming to transform treatment processes to go beyond sectoral boundaries, taking into account the potential benefits for frail patients arising from integrated care processes using information technology.

Indexed as

Information DisseminationPerioperative CareAgedAged, 80 and overDatabases, FactualFemaleFrail ElderlyGeriatric AssessmentHealth Services ResearchHumansMalePatient SafetyPostoperative ComplicationsSurgical Procedures, OperativeCritical careFrailtyGeriatric medicineHealth data exchangeInformation technologyIntensive care medicinePerioperative careTemporal dynamics

Identifiers

PMID30732604
PMCPMC6367783

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.