Evidence map›Paper›PMID 31172292›Full record

ArticleJournal of medical systems2019

Post Ambulatory Discharge Follow-up Using Automated Text Messaging.

David Leconte, Hélène Beloeil, Thierry Dreano, Claude Ecoffey

Abstract read
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In one paragraph

Article in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. To Text or Not to Text? That is the Question.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
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.

David LeconteUniversité Rennes, CHU Rennes, Pôle Anesthésie-Samu-Urgences-Réanimations, F-35033, Rennes, France.
Hélène BeloeilUniversité Rennes, INSERM, INRA, CIC 1414, Numecan, CHU Rennes, Pôle Anesthésie-Samu-Urgences-Réanimations, 2 Rue Henri Le Guilloux, 35033, Rennes Cedex 9, France. helene.beloeil@chu-rennes.fr.
Thierry DreanoCHU Rennes, Service d'orthopédie et de traumatologie, F-35033, Rennes, France.
Claude EcoffeyUniversité Rennes, CHU Rennes, CIC 1414, Pôle Anesthésie-Samu-Urgences-Réanimations, F-35033, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambulatory surgery has grown to be the most common procedure in developed countries. Efficient quality of care and safety often require calling patient at day one after outpatient surgery to check patient's recovery and search for complications. This increasing flow in same day surgery centres motivates the use of automatic systems to contact patients. The overall objective of this study was to evaluate automated software sending text messages (TM) to patients at day 1 after ambulatory surgery compared to classical phone calls. This prospective study took place in Rennes Teaching Hospital, France, from June 1st, 2015 to December 15th, 2016. All patients owning a mobile phone were included, adults and children by means of their parents. The primary end point was the rate of successfully contacted patients, compared to usual phone calls in 2014. In cases of no response or an abnormal response, an automatic alert was sent to the ambulatory unit. Within the 7246 patients included, response rate to TM was significantly higher than response to phone calls in 2014 (87% vs 57%, respectively p < 0.0001). Most patients (85%) responded in less than 60 min. The TM algorithm detected 36% alerts (12% for lack of response to TM and 24% for TM's content). The total of reached patients' rate with TM and then phone call after an alert was 90%. Post ambulatory discharge follow-up using automated TM was successfully and easily experienced as more patients were contacted.

Indexed as

AftercarePatient DischargeText MessagingAdolescentAdultAgedAged, 80 and overAmbulatory Care FacilitiesChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedProspective StudiesAmbulatory surgeryAutomated follow-upText messages

Identifiers

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.