Evidence map›Paper›PMID 38739912›Full record

ArticleJMIR formative research2024

Quality Improvement Intervention Using Social Prescribing at Discharge in a University Hospital in France: Quasi-Experimental Study.

Johann Cailhol, Hélène Bihan, Chloé Bourovali-Zade, Annie Boloko, Catherine Duclos

Abstract read
In one paragraph

Article in JMIR formative research, 2024. 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. 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

5 authors.

Johann CailholLaboratoire Educations et Promotion de la Santé, University Sorbonne Paris Nord, Bobigny, France.ORCID https://orcid.org/0000-0002-8367-9957
Hélène BihanLaboratoire Educations et Promotion de la Santé, University Sorbonne Paris Nord, Bobigny, France.ORCID https://orcid.org/0000-0002-0274-6039
Chloé Bourovali-ZadeInfectious Diseases Unit, Groupe Hospitalo-Universitaire Paris Seine Saint Denis, Assistance Publique des Hopitaux de Paris, Bobigny, France.ORCID https://orcid.org/0009-0005-4754-7817
Annie BolokoInfectious Diseases Unit, Groupe Hospitalo-Universitaire Paris Seine Saint Denis, Assistance Publique des Hopitaux de Paris, Bobigny, France.ORCID https://orcid.org/0009-0009-7714-3601
Catherine DuclosLaboratoire de recherche en informatique pour la santé, University Sorbonne Paris Nord, Bobigny, France.ORCID https://orcid.org/0000-0001-8745-378X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial prescription is seen as a public health intervention tool with the potential to mitigate social determinants of health. On one side, social prescription is not yet well developed in France, where social workers usually attend to social needs, and historically, there is a deep divide between the health and social sectors. On the other side, discharge coordination is gaining attention in France as a critical tool to improve the quality of care, assessed indirectly using unplanned rehospitalization rates.

objectiveThis study aims to combine social prescription and discharge coordination to assess the need for social prescription and its effect on unplanned rehospitalization rates.

methodsWe conducted a quasi-experimental study in two departments of medicine in a French university hospital in a disadvantaged suburb of Paris over 2 years (October 2019-October 2021). A discharge coordinator screened patients for social prescribing needs and provided services on the spot or referred the patient to the appropriate service when needed. The primary outcome was the description of the services delivered by the discharge coordinator and of its process, as well as the characteristics of the patients in terms of social needs. The secondary outcome was the comparison of unplanned rehospitalization rates after data chaining.

resultsA total of 223 patients were included in the intervention arm, with recruitment being disrupted by the COVID-19 pandemic. More than two-thirds of patients (n=154, 69.1%) needed help understanding discharge information. Slightly less than half of the patients (n=98, 43.9%) seen by the discharge coordinator needed social prescribing, encompassing language, housing, health literacy, and financial issues. The social prescribing covered a large range of services, categorized into finding a general practitioner or private sector nurse, including language-matching; referral to a social worker; referral to nongovernmental organization or group activities; support for transportation issues; support for health-related administrative procedures; and support for additional appointments with nonmedical clinicians. All supports were delivered in a highly personalized way. Ethnic data collection was not legally permitted, but for 81% (n=182) of the patients, French was not the mother tongue. After data chaining, rehospitalization rates were compared between 203 patients who received the intervention (n=5, 3.1%) versus 2095 patients who did not (n=51, 2.6%), and there was no statistical difference.

conclusionsFirst, our study revealed the breadth of patient's unmet social needs in our university hospital, which caters to an area where the immigrant population is high. The study also revealed the complexity of the discharge coordinator's work, who provided highly personalized support and managed to gain trust. Hospital discharge could be used in France as an opportunity in disadvantaged settings. Eventually, indicators other than the rehospitalization rate should be devised to evaluate the effect of social prescribing and discharge coordination.

Indexed as

dischargedischarge coordinationethnic matchinglanguage barrierspersonalized carequality improvementquality of carereadmissionreadmission ratessocial determinantsocial needsocial prescriptiontooltrust

Identifiers

PMID38739912
PMCPMC11130777

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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.